Bipolar disorder is a chronic psychiatric mood disorder characterized by recurrent episodes of mania or hypomania alternating with depression. Subtypes include bipolar I (full manic episodes), bipolar II (hypomania with major depression), and cyclothymic disorder. Its pathophysiology involves dysregulation of monoaminergic neurotransmission, mitochondrial and cellular energetics dysfunction, and disturbances of circadian and neuroplasticity signaling.
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name: Bipolar Disorder
creation_date: '2025-12-18T17:01:35Z'
description: >-
Bipolar disorder is a chronic psychiatric mood disorder characterized by
recurrent episodes of mania or hypomania alternating with depression. Subtypes
include bipolar I (full manic episodes), bipolar II (hypomania with major
depression), and cyclothymic disorder. Its pathophysiology involves
dysregulation of monoaminergic neurotransmission, mitochondrial and cellular
energetics dysfunction, and disturbances of circadian and neuroplasticity
signaling.
category: Complex
parents:
- Psychiatric Disease
disease_term:
preferred_term: bipolar disorder
term:
id: MONDO:0004985
label: bipolar disorder
has_subtypes:
- name: Bipolar I Disorder
description: Characterized by manic episodes, with or without depressive episodes.
evidence:
- reference: PMID:31043756
reference_title: "Genome-wide association study identifies 30 loci associated with bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis"
explanation: Large GWAS shows bipolar I disorder is genetically distinguished from bipolar II by its strong correlation with schizophrenia and psychosis.
- name: Bipolar II Disorder
description: Characterized by hypomanic and depressive episodes, no full mania.
evidence:
- reference: PMID:31043756
reference_title: "Genome-wide association study identifies 30 loci associated with bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "bipolar II disorder is more strongly correlated with major depressive disorder"
explanation: GWAS genetic-correlation analysis distinguishes bipolar II disorder from bipolar I by its stronger correlation with major depressive disorder.
- name: Cyclothymic Disorder
description: Chronic fluctuating mood with hypomanic and depressive symptoms.
mechanistic_hypotheses:
- hypothesis_group_id: canonical_polygenic_synaptic_circadian_dysregulation_model
hypothesis_label: Canonical Polygenic / Synaptic / Circadian Dysregulation Model
status: CANONICAL
description: >-
Bipolar disorder is a highly heritable polygenic mood disorder in which common variants in CACNA1C,
ANK3, ODZ4, and other ion-channel and synaptic genes combine with circadian/clock gene variants
(CLOCK, BMAL1, NR1D1) to produce episodic mood instability. Mitochondrial dysfunction, calcium-signaling
dysregulation, and altered neuroplasticity in fronto-limbic circuits (anterior cingulate,
amygdala, ventral striatum) drive cycling between depressive and manic states. Lithium's mood-stabilizing
efficacy (targeting GSK-3β / inositol monophosphatase / circadian amplitude),
valproate's modulation of histone deacetylases, and the recurrent involvement of the dopaminergic
reward system during manic episodes corroborate the polygenic-synaptic-circadian framework as the
canonical model.
notes: >-
Retained as CANONICAL with six explicit
qualifications, independently re-verified against the cited
primary sources rather than the 2026 openscientist
hypothesis-search report's framing
(kb/hypotheses/Bipolar_Disorder/canonical_polygenic_synaptic_circadian_dysregulation_model),
which finds PARTIALLY SUPPORTED. Each major pillar — common
ion-channel / synaptic gene variants (CACNA1C, ANK3, ODZ4),
circadian/clock variants, mitochondrial dysfunction, calcium
signaling, and fronto-limbic neuroplasticity — has
substantial GWAS, iPSC, animal-model, and pharmacological
support, with lithium and valproate efficacy and dopaminergic
mania consistent with the model. The 2025 multi-ancestry PGC4
GWAS (298 genome-wide-significant loci across 158,036 cases
and 2.8 million controls, PMID:39843750) is the current
largest genetic-architecture study of BD and supersedes the
smaller PGC3 scan the report's genetics framing was based on.
Six qualifications, each rescoped to what its cited study
actually shows: (1) postmortem cortical transcriptome data
(PMID:33442739) show a less-pronounced, psychosis-concentrated
similarity between schizophrenia and BD gene-expression
alterations — the study never tested the canonical
calcium/circadian/synaptic model and did not restrict its BD
sample to BD-I, so it qualifies rather than establishes that
the model "best explains psychotic BD-I"; (2) the
calcium-channel-blocker translational picture is a small,
unresolved lead rather than a demonstrated
dihydropyridine-vs-verapamil subclass effect — the decisive
verapamil-to-dihydropyridine (nimodipine, then isradipine)
response switch involved only two bipolar patients embedded in
a 30-person mixed unipolar/bipolar refractory-affective-illness
cohort (PMID:9790159), and a broader review of calcium-channel
antagonist trials in BD found only limited support for efficacy
(PMID:11252650); (3) lithium response pharmacogenomics
implicates PI3K-Akt / focal-adhesion pathways rather than direct
GSK-3β (partially reconcilable via the PI3K→Akt→GSK-3β cascade);
(4) TIMELESS and RORA are circadian-gene leads from a single 2014
candidate-gene association study (353 SNPs across 21 circadian
genes, meta-analysed across two internal BD cohorts,
PMID:24716566), not an update established across the modern GWAS
literature, so they supplement rather than displace CLOCK/BMAL1
as canonical circadian candidates; (5) the claim that
BD-risk-gene-attributed structural abnormalities are shared
across the psychosis spectrum conflates two weaker, separate
findings — a candidate-SNP imaging study of CACNA1C/ANK3/ODZ4/SYNE1
found no risk-variant-structural association surviving
multiple-testing correction (PMID:23820096), so there is no
confirmed gene-attributed structural finding to generalize from,
and a separate ENIGMA mega-/meta-analysis found shared
cortical/subcortical abnormalities across BD, schizophrenia, major
depressive disorder, and OCD generally (PMID:32646651) — a
transdiagnostic pattern, not one specific to a psychosis spectrum
or tied to risk-gene status; (6) critical experiments remain
largely unperformed — no GSK-3β-selective inhibitor trial and no
chronotherapy prevention trial from euthymia exist as of 2026, and
while a modern dihydropyridine CCB trial was registered (adjunctive
isradipine for bipolar depression, NCT01784666), it was terminated
early for lack of enrollment (2 participants), so an adequately
powered modern DHP-CCB trial remains a real gap rather than one
that was never attempted.
evidence:
- reference: PMID:21057379
reference_title: "Case-case genome-wide association analysis shows markers differentially associated with schizophrenia and bipolar disorder and implicates calcium channel genes."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "The finding for CACNG5, taken together with the earlier implication of CACNA1C and CACNA1B, strongly suggests a key role for voltage-dependent calcium channel genes in the susceptibility to bipolar disorder and/or schizophrenia."
explanation: >
Existing canonical mechanism citation in the dismech
knowledge base, used as the seed for the hypothesis-search
deep-research run.
- reference: PMID:33442739
reference_title: "Similarities in Cortical Transcriptome Alterations Between Schizophrenia and Bipolar Disorder Are Related to the Presence of Psychosis."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "correlation analyses showed that BP subjects had similar, although less pronounced, gene expression alterations"
explanation: >
Postmortem cortical transcriptome comparison finds BD subjects
share schizophrenia-like gene-expression alterations, but only
less pronounced ones concentrated among BD subjects with
psychosis. The case-control study did not test the canonical
calcium/circadian/synaptic model directly and did not restrict
its BD sample to BD-I, so it qualifies rather than establishes
that the model "best explains psychotic BD-I."
- reference: PMID:9790159
reference_title: "Nimodipine monotherapy and carbamazepine augmentation in patients with refractory recurrent affective illness."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "two BP patients failed to maintain improvement but responded again to nimodipine and remained well with a blind transition to another dihydropyridine L-type calcium channel blocker (CCB), isradipine"
explanation: >
The decisive verapamil-to-dihydropyridine response switch cited
for the pharmacological-subclass hypothesis involved only two
bipolar patients within a 30-person mixed-diagnosis
refractory-affective-illness cohort — a small case-series lead,
not a demonstrated subclass effect.
- reference: PMID:11252650
reference_title: "Calcium channel antagonists for the treatment of bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "concluding there is presently limited support for their efficacy"
explanation: >
Review of calcium-channel-antagonist trials in bipolar disorder
concludes that more recent, better-controlled studies found only
limited support for efficacy, tempering the
calcium-channel-blocker translational-failure claim.
- reference: PMID:24716566
reference_title: "Association between circadian genes, bipolar disorders and chronotypes."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "TIMELESS and RORA genes may confer susceptibility to BD and impact on circadian"
explanation: >
Single 2014 candidate-gene association study (353 SNPs across 21
circadian genes, meta-analysed across two internal BD cohorts)
finds TIMELESS and RORA variants associated with BD. This is a
circadian-gene lead from one study design, not a modern
literature-wide meta-analytic replacement for CLOCK/BMAL1
priority.
- reference: PMID:23820096
reference_title: "No evidence for association between bipolar disorder risk gene variants and brain structural phenotypes."
supports: REFUTE
evidence_source: HUMAN_CLINICAL
snippet: "these risk SNPs do not explain a large proportion of the structural brain alterations in BD"
explanation: >
Candidate-SNP imaging study of CACNA1C, ANK3, ODZ4, and SYNE1
found no risk-variant-structural association surviving
multiple-testing correction, refuting the premise that structural
brain abnormalities are attributed to BD risk genes in the first
place.
- reference: PMID:32646651
reference_title: "Cross-Disorder Analysis of Brain Structural Abnormalities in Six Major Psychiatric Disorders: A Secondary Analysis of Mega- and Meta-analytical Findings From the ENIGMA Consortium."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Brain structural abnormalities in major depressive disorder, bipolar disorder, schizophrenia, and obsessive-compulsive disorder were highly correlated"
explanation: >
ENIGMA mega-/meta-analysis finds shared cortical/subcortical
abnormality patterns across BD, schizophrenia, major depressive
disorder, and obsessive-compulsive disorder generally — a
transdiagnostic pattern, not one specific to a psychosis spectrum
or tied to BD-risk-gene status.
- reference: clinicaltrials:NCT01784666
reference_title: "Adjunctive Isradipine for the Treatment of Bipolar Depression"
supports: NO_EVIDENCE
evidence_source: HUMAN_CLINICAL
snippet: 'Isradipine or placebo (contains no active medication) will be used as an "add-on" to lithium, valproate, and/or atypical antipsychotics for individuals currently experiencing a major depressive episode.'
explanation: >
A modern adjunctive-isradipine (dihydropyridine L-type CCB) trial
for bipolar depression was registered, refuting a categorical "no
modern dihydropyridine CCB trial" claim. ClinicalTrials.gov
records it as Terminated for lack of enrollment (2 participants),
so an adequately powered modern DHP-CCB trial remains a real gap
rather than one never attempted.
- reference: PMID:39843750
reference_title: "Genomics yields biological and phenotypic insights into bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.8 million controls)"
explanation: >
The 2025 multi-ancestry PGC4 GWAS (298 genome-wide-significant
loci) is the current largest genetic-architecture study of BD,
updating the polygenic-risk-locus evidence base beyond the
smaller PGC3 scan the 2026 hypothesis-search report's genetics
framing was based on.
- reference: PMID:34002096
reference_title: "Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus."
explanation: >
Genome-wide, hypothesis-free pathway enrichment is the strongest
unbiased support for the synaptic pillar of this model: the risk
alleles concentrate in synaptic-signaling genes expressed in
prefrontal-cortex and hippocampal neurons rather than being spread
across brain-expressed genes generally.
- reference: PMID:34002096
reference_title: "Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics."
explanation: >
Drug-target enrichment ties the polygenic signal to the calcium and
ion-channel pharmacology named by this model. Note the enrichment is
shared with antipsychotic, antiepileptic and anesthetic targets, so it
supports ion-channel involvement broadly rather than singling out
L-type calcium channels.
pathophysiology:
- name: Monoamine Dysregulation
description: >
Imbalances in dopamine, norepinephrine, and serotonin neurotransmission
contribute to mood episodes. Elevated dopamine in mania, reduced in
depression.
cell_types:
- preferred_term: Dopaminergic Neuron
term:
id: CL:0000700
label: dopaminergic neuron
- preferred_term: Serotonergic Neuron
term:
id: CL:0000850
label: serotonergic neuron
- preferred_term: Noradrenergic Neuron
term:
id: CL:0008025
label: noradrenergic neuron
biological_processes:
- preferred_term: Neurotransmitter Signaling
term:
id: GO:0007268
label: chemical synaptic transmission
evidence:
- reference: PMID:22363263
reference_title: "Inhibition of GSK3 by lithium, from single molecules to signaling networks."
supports: SUPPORT
snippet: "Activation of the dopamine receptor 2 (D2R) has been shown to stimulate the inactivation of Akt by PP2A (Beaulieu et al., 2005; Beaulieu and Gainetdinov, 2011), therefore providing a mechanism through which GPCR activation can inhibit Akt in response to extracellular signals."
explanation: Dopamine D2 receptor signaling regulates the Akt/GSK3 pathway, providing a molecular link between monoaminergic neurotransmission and mood regulation in bipolar disorder.
- reference: PMID:22363263
reference_title: "Inhibition of GSK3 by lithium, from single molecules to signaling networks."
supports: SUPPORT
snippet: "This mechanism of D2R signaling appears to play important roles in the regulation of locomotor behavior and sensory motor gating by dopamine (Beaulieu et al., 2004; Emamian et al., 2004). It could also contribute to the therapeutic and/or adverse effects of psychoactive drugs like amphetamines and antpsychotics that act on dopamine neurotransmission"
explanation: The D2 receptor-mediated regulation of GSK3 activity through beta-arrestin signaling is implicated in behavioral regulation relevant to bipolar disorder and the mechanism of mood stabilizers and antipsychotics.
- name: Intracellular Calcium Dysregulation
biological_scale: CELLULAR
description: >
Altered intracellular calcium handling is among the oldest and most
replicated cellular findings in bipolar disorder: basal and stimulated
cytosolic calcium are elevated in patient platelets and lymphocytes, and
endoplasmic-reticulum calcium release through the IP3 receptor is enhanced
in patient lymphoblasts carrying the low-expressing BCL2 rs956572 AA
genotype. This is the cellular counterpart of the calcium-channel genetics
curated under CACNA1C. Two scope limits are load-bearing and should not be
read past: the replicated measurements are in peripheral blood cells rather
than neurons, and they have not been shown to track mood state over time --
the original series found little correlation between calcium measures and
mood-rating severity. The node therefore records a trait-associated
calcium abnormality, not a demonstrated driver of episode switching (see
the attached knowledge gap).
biological_processes:
- preferred_term: Intracellular Calcium Homeostasis
term:
id: GO:0006874
label: intracellular calcium ion homeostasis
modifier: ABNORMAL
- preferred_term: IP3 Receptor-Mediated ER Calcium Release
term:
id: GO:0051209
label: release of sequestered calcium ion into cytosol
modifier: INCREASED
evidence:
- reference: PMID:10418700
reference_title: "Elevated basal and thapsigargin-stimulated intracellular calcium of platelets and lymphocytes from bipolar affective disorder patients measured by a fluorometric microassay."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "We observed significantly elevated basal calcium concentrations in bipolar patient platelets and lymphocytes compared to control subjects."
explanation: >-
Direct measurement of the elevated basal calcium finding in 30 affective
disorder patients versus 14 controls, the replicated peripheral-cell
observation this node records.
- reference: PMID:10418700
reference_title: "Elevated basal and thapsigargin-stimulated intracellular calcium of platelets and lymphocytes from bipolar affective disorder patients measured by a fluorometric microassay."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "our data suggest that storage operated calcium channels may be the source of the elevated intracellular calcium in platelets and lymphocytes of bipolar patients"
explanation: >-
Locates the abnormality at store-operated calcium entry rather than at
the plasma-membrane voltage-gated channels implicated by the CACNA1C
genetics, so the two calcium findings are complementary rather than the
same lesion measured twice.
- reference: PMID:21167476
reference_title: "The Bcl-2 gene polymorphism rs956572AA increases inositol 1,4,5-trisphosphate receptor-mediated endoplasmic reticulum calcium release in subjects with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "These results demonstrate that, in patients with BPD, abnormal Bcl-2 gene expression in the AA variant contributes to dysfunctional Ca(2+) homeostasis through a specific ER inositol 1,4,5-trisphosphate receptor-dependent mechanism."
explanation: >-
Supplies a genotype-to-mechanism account for part of the calcium
abnormality: reduced BCL2 expression in rs956572 AA carriers enhances
IP3-receptor-dependent ER calcium release. Scope caveat -- 18 patient
lymphoblast lines, a peripheral cell model, not neurons.
- reference: PMID:21167476
reference_title: "The Bcl-2 gene polymorphism rs956572AA increases inositol 1,4,5-trisphosphate receptor-mediated endoplasmic reticulum calcium release in subjects with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "The aberrant behavior of AA cells was reversed by chronic lithium treatment and mimicked in variant GG by a Bcl-2 inhibitor."
explanation: >-
Pharmacological convergence in both directions -- lithium normalizes the
genotype-associated calcium phenotype and a BCL2 inhibitor reproduces it
in non-risk cells -- which is what ties this node to the treatment
section rather than leaving it as an isolated biomarker.
downstream:
- target: Mitochondrial Dysfunction
causal_link_type: INDIRECT_UNKNOWN_INTERMEDIATES
description: >-
Proposed rather than demonstrated. A published model argues that raised
cytosolic calcium in mania drives increased mitochondrial respiration and
ATP production, with the euthymic and depressive phases showing the
opposite. No study cited here measures calcium and mitochondrial
respiration in the same subjects across a mood transition, so the edge is
recorded at unknown-intermediate directness.
intermediate_mechanisms:
- Raised cytosolic calcium is proposed to stimulate oxidative
phosphorylation, in part through modulation of the F1-FO elements of ATP
synthase, alongside oxidative stress and pro-inflammatory cytokine
signaling that are themselves higher in mania.
evidence:
- reference: PMID:28093238
reference_title: "A model of the mitochondrial basis of bipolar disorder."
supports: SUPPORT
evidence_source: OTHER
directness: INDIRECT
snippet: "Levels of oxidative stress, pro-inflammatory cytokines and intracellular calcium ions are all higher in bipolar mania than in the euthymic and depressive phases of the illness."
explanation: >-
States the calcium-to-mitochondrial-respiration step this edge encodes.
Graded OTHER and INDIRECT because the source is an explanatory model
paper synthesizing prior literature, not a study that tested the
proposed sequence.
- name: Neuronal Hyperexcitability
biological_scale: CELLULAR
description: >
Patient-derived neurons show intrinsic hyperexcitability, offering a
cellular endophenotype that sits between the ion-channel genetics and the
circuit-level findings. iPSC-derived hippocampal dentate-gyrus-like
granule neurons from bipolar patients fire action potentials hyperactively
and carry mitochondrial abnormalities relative to control-derived neurons.
The finding is also a treatment-response stratifier: lithium reverses the
hyperexcitability only in neurons from donors who were themselves clinical
lithium responders. Scope limits -- six manic bipolar I donors and four
unaffected individuals, one differentiated neuron type, and no
demonstration that hyperexcitability causes episode switching rather than
marking trait vulnerability.
cell_types:
- preferred_term: iPSC-derived hippocampal dentate gyrus-like granule neuron
term:
id: CL:0001033
label: hippocampal granule cell
biological_processes:
- preferred_term: Action Potential Firing
term:
id: GO:0001508
label: action potential
modifier: INCREASED
- preferred_term: Regulation of Neuronal Membrane Potential
term:
id: GO:0042391
label: regulation of membrane potential
modifier: ABNORMAL
evidence:
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
directness: DIRECT
snippet: "we have detected mitochondrial abnormalities in young neurons from patients with bipolar disorder by using mitochondrial assays; in addition, using both patch-clamp recording and somatic Ca(2+) imaging, we have observed hyperactive action-potential firing."
explanation: >-
The primary measurement behind this node: patch-clamp and calcium imaging
in patient-derived dentate-gyrus-like neurons show hyperactive
action-potential firing alongside mitochondrial abnormalities, in
patient-derived human tissue rather than an animal model.
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "This hyperexcitability phenotype of young neurons in bipolar disorder was selectively reversed by lithium treatment only in neurons derived from patients who also responded to lithium treatment."
explanation: >-
The responder-selective rescue is what makes this node a candidate
treatment-response stratifier rather than a generic cellular abnormality:
the in-vitro correction tracks the donor's own clinical lithium response.
It holds for the sampled lines and has not been shown to generalize
across the heterogeneity of bipolar disorder.
- name: Mitochondrial Dysfunction
description: >
Impaired cellular energy metabolism and oxidative stress affect
neuronal function. Mitochondrial abnormalities linked to mood
dysregulation.
cell_types:
- preferred_term: Neuron
term:
id: CL:0000540
label: neuron
biological_processes:
- preferred_term: Oxidative phosphorylation
term:
id: GO:0006119
label: oxidative phosphorylation
modifier: ABNORMAL
evidence:
- reference: PMID:30285728
reference_title: "The TRAX, DISC1, and GSK3 complex in mental disorders and therapeutic interventions."
supports: NO_EVIDENCE
snippet: "Psychiatric disorders (such as bipolar disorder, depression, and schizophrenia) affect the lives of millions of individuals worldwide."
explanation: This review discusses the molecular mechanisms underlying psychiatric disorders including bipolar disorder, with focus on the DISC1/GSK3 complex which regulates mitochondrial and cellular functions.
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "Strikingly, we found that the expression of multiple mitochondria genes was significantly enhanced in the BD neurons"
explanation: >-
RNA-seq of patient-derived dentate-gyrus-like neurons finds coordinated
upregulation of mitochondrial genes, the first direct measurement
supporting this node in patient-derived human neurons rather than by
inference from review literature.
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "Flow cytometry analysis revealed that BD neurons showed increased red/green ratios, indicative of enhanced mitochondrial function"
explanation: >-
Note the direction: membrane-potential assay in young patient-derived
neurons shows *enhanced* mitochondrial function, not the deficit the node
description implies. Curated as a qualification -- the abnormality is
established, but this study argues against reading it uniformly as
impaired energy metabolism, consistent with the phasic model in which
respiration is raised in mania and lowered in euthymia and depression.
- name: Circadian Rhythm Disruption
description: >
Disrupted sleep-wake cycles and circadian gene expression
contribute to mood instability. Sleep deprivation can trigger mania.
cell_types:
- preferred_term: Neuron
term:
id: CL:0000540
label: neuron
biological_processes:
- preferred_term: Circadian Rhythm
term:
id: GO:0007623
label: circadian rhythm
evidence:
- reference: PMID:22363263
reference_title: "Inhibition of GSK3 by lithium, from single molecules to signaling networks."
supports: NO_EVIDENCE
snippet: "For more than 60 years, the mood stabilizer lithium has been used alone or in combination for the treatment of bipolar disorder, schizophrenia, depression, and other mental illnesses."
explanation: This comprehensive review discusses lithium as the gold standard treatment for bipolar disorder, noting its mood-stabilizing effects through GSK3 inhibition which affects multiple cellular pathways including circadian regulation.
- reference: PMID:23919927
reference_title: "Glycogen synthase kinase-3β haploinsufficiency lengthens the circadian locomotor activity period in mice."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "these data suggest that GSK3β acts as a critical intrinsic regulator of the circadian clock and plays an important role in regulating its period in response to lithium treatment"
explanation: >-
GSK3β haploinsufficiency lengthens circadian period in mice, mechanistically
linking lithium's inhibition of GSK3β to its documented effects on circadian
rhythm period and amplitude in bipolar disorder.
- reference: PMID:20591414
reference_title: "Knockdown of Clock in the ventral tegmental area through RNA interference results in a mixed state of mania and depression-like behavior."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "We found that knockdown of Clock, specifically in the VTA, results in hyperactivity and a reduction in anxiety-related behavior, which is similar to the phenotype of the ClockDelta19 mice."
explanation: >-
Region-restricted RNA-interference knockdown shows that disrupting a
single core clock gene in one brain region is sufficient to produce
mania-like behavior, which is the strongest causal support available for
the circadian pillar of this model.
- reference: PMID:20591414
reference_title: "Knockdown of Clock in the ventral tegmental area through RNA interference results in a mixed state of mania and depression-like behavior."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "However, VTA-specific knockdown also results in a substantial increase in depression-like behavior, creating an overall mixed manic state."
explanation: >-
The qualification the model needs, quoted from the same result. The
manipulation does not produce cycling between separable manic and
depressive states; the authors characterize the outcome as a single mixed
state. So this is a mouse demonstration that clock disruption destabilizes
mood-related behavior, not a demonstration of the episodic switching the
canonical model is invoked to explain.
downstream:
- target: Monoamine Dysregulation
causal_link_type: INDIRECT_KNOWN_INTERMEDIATES
description: >-
Clock-gene disruption raises dopaminergic output. Evidence is a targeted
rodent perturbation; no human circadian variant has been shown to drive
dopaminergic change in bipolar patients, so the edge is model-organism
grounded rather than established in human disease.
intermediate_mechanisms:
- Loss of CLOCK function in ventral tegmental area dopaminergic neurons
alters expression of ion channels and dopamine-related genes, increasing
the firing activity of those neurons and so raising dopaminergic drive to
forebrain reward circuits.
evidence:
- reference: PMID:20591414
reference_title: "Knockdown of Clock in the ventral tegmental area through RNA interference results in a mixed state of mania and depression-like behavior."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "VTA dopaminergic neurons expressing the Clock short hairpin RNA have increased activity compared with control neurons"
explanation: >-
The electrophysiological measurement that grounds this specific edge:
clock-gene knockdown increases dopaminergic neuron firing, the step
connecting the circadian node to the monoaminergic node.
- name: Neuroplasticity Alterations
description: >
Reduced BDNF and altered synaptic plasticity in mood circuits.
Lithium and other mood stabilizers enhance neuroplasticity.
cell_types:
- preferred_term: Neuron
term:
id: CL:0000540
label: neuron
biological_processes:
- preferred_term: Synaptic Plasticity
term:
id: GO:0048167
label: regulation of synaptic plasticity
evidence:
- reference: PMID:30285728
reference_title: "The TRAX, DISC1, and GSK3 complex in mental disorders and therapeutic interventions."
supports: SUPPORT
snippet: "DISC1 binds directly to GSK3 and modulates many cellular functions by negatively inhibiting GSK3 activity."
explanation: GSK3 inhibition by DISC1 and mood stabilizers like lithium is a key mechanism in bipolar disorder treatment, affecting synaptic plasticity and neuronal survival pathways.
- reference: PMID:30285728
reference_title: "The TRAX, DISC1, and GSK3 complex in mental disorders and therapeutic interventions."
supports: SUPPORT
snippet: "In the present review, we will focus on the emerging roles of TRAX and its interacting proteins (including DISC1 and GSK3β) in psychiatric disorders and the potential implications for developing therapeutic interventions."
explanation: The TRAX/DISC1/GSK3β complex is implicated in psychiatric disorders including bipolar disorder and represents a therapeutic target for enhancing neuroplasticity.
- reference: PMID:21743136
reference_title: "Neuroprotective action of lithium in disorders of the central nervous system."
supports: SUPPORT
evidence_source: OTHER
snippet: "Lithium's main mechanisms of action appear to stem from its ability to inhibit glycogen synthase kinase-3 activity and also to induce signaling mediated by brain-derived neurotrophic factor."
explanation: >-
Lithium enhances neuroplasticity in part by inducing BDNF signaling and
inhibiting GSK-3, directly complementing the reduced-BDNF pathophysiology
captured in this node.
- name: Neuroinflammation
description: >
Elevated inflammatory markers during mood episodes. Microglial
activation and cytokine abnormalities contribute to pathophysiology.
cell_types:
- preferred_term: Microglia
term:
id: CL:0000129
label: microglial cell
biological_processes:
- preferred_term: Inflammatory Response
term:
id: GO:0006954
label: inflammatory response
evidence:
- reference: PMID:33958577
reference_title: "Glutamate and microglia activation as a driver of dendritic apoptosis: a core pathophysiological mechanism to understand schizophrenia."
supports: NO_EVIDENCE
snippet: "considering that schizophrenia is a multifactorial and highly polygenic disorder that shares many risk genes with other psychiatric illnesses including bipolar disorder, depression, intellectual disability and autism spectrum disorders, it is to be expected that these diseases may also share some of these same mechanisms"
explanation: Microglial activation and inflammatory processes are shared pathophysiological mechanisms across psychiatric disorders including bipolar disorder, contributing to synaptic dysfunction.
- name: GSK-3β Signaling Dysregulation
description: >
Glycogen synthase kinase-3β (GSK-3β) is a constitutively active
serine/threonine kinase that phosphorylates β-catenin, tau, and numerous
circadian and pro-apoptotic substrates. Excess GSK-3β activity is implicated
in bipolar mood instability, and GSK-3β is the principal molecular target
through which lithium is thought to exert its mood-stabilizing and
neuroprotective effects. Lithium inhibits GSK-3β both directly
(Mg2+-competitive) and indirectly (via the Akt / β-arrestin-2 / PP2A axis),
stabilizing β-catenin and mimicking canonical Wnt signaling.
cell_types:
- preferred_term: Neuron
term:
id: CL:0000540
label: neuron
biological_processes:
- preferred_term: Canonical Wnt Signaling
term:
id: GO:0060070
label: canonical Wnt signaling pathway
modifier: DECREASED
evidence:
- reference: PMID:8710892
reference_title: "A molecular mechanism for the effect of lithium on development."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "Our results suggest that lithium acts through inhibition of glycogen synthase kinase-3 beta (GSK-3 beta), which regulates cell fate determination in diverse organisms including Dictyostelium, Drosophila, and Xenopus."
explanation: >-
Klein and Melton identified GSK-3β as a direct molecular target of lithium
in developmental model organisms — the foundational evidence for the GSK-3β
hypothesis of lithium's action in bipolar disorder.
- reference: PMID:8710892
reference_title: "A molecular mechanism for the effect of lithium on development."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "Lithium potently inhibits GSK-3 beta activity (Ki = 2 mM), but is not a general inhibitor of other protein kinases."
explanation: >-
Lithium inhibits GSK-3β at therapeutically relevant concentrations with
selectivity over other protein kinases, supporting GSK-3β as a specific target.
- reference: PMID:8994831
reference_title: "Lithium inhibits glycogen synthase kinase-3 activity and mimics wingless signalling in intact cells."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "Li+ treatment of Drosophila S2 cells and rat PC12 cells induces accumulation of cytoplasmic Armadillo/beta-catenin, demonstrating that Li+ can mimic Wingless signalling in intact cells, consistent with its inhibition of GSK-3."
explanation: >-
In intact mammalian (PC12) and insect cells, lithium inhibition of GSK-3
stabilizes β-catenin and reproduces canonical Wnt (Wingless) signaling,
tying GSK-3β inhibition to a defined downstream pathway.
downstream:
- target: Circadian Rhythm Disruption
causal_link_type: INDIRECT_KNOWN_INTERMEDIATES
intermediate_mechanisms:
- GSK-3β phosphorylates core clock proteins, so excess GSK-3β activity
shortens/destabilizes circadian period and amplitude (lithium's GSK-3β
inhibition lengthens period, per the GSK3β-haploinsufficiency model).
- target: Neuroplasticity Alterations
causal_link_type: INDIRECT_KNOWN_INTERMEDIATES
intermediate_mechanisms:
- Excess GSK-3β activity suppresses BDNF/neurotrophic and β-catenin survival
signaling, impairing synaptic plasticity in fronto-limbic mood circuits.
- name: Phosphoinositide Signaling Dysregulation
description: >
Overactivity of the phosphatidylinositol (PIP2 / IP3) second-messenger cycle
is implicated in bipolar mood instability (the "inositol depletion
hypothesis"). The cycle regenerates free myo-inositol through inositol
monophosphatase (IMPase) and inositol polyphosphate 1-phosphatase; lithium
uncompetitively inhibits these Mg2+-dependent phosphatases, depleting free
inositol and dampening the overactive signaling — a therapeutic target
shared with valproate and carbamazepine. (The disease-state direction shown
here is the overactive baseline; lithium's opposing, inhibitory action is
captured on the Lithium treatment's target_mechanisms edge.)
cell_types:
- preferred_term: Neuron
term:
id: CL:0000540
label: neuron
biological_processes:
- preferred_term: Inositol Phosphate Metabolism
term:
id: GO:0043647
label: inositol phosphate metabolic process
modifier: INCREASED
- preferred_term: Phosphatidylinositol-Mediated Signaling
term:
id: GO:0048015
label: phosphatidylinositol-mediated signaling
modifier: INCREASED
evidence:
- reference: PMID:12015604
reference_title: "A common mechanism of action for three mood-stabilizing drugs."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "Inositol, however, reverses the effects of the drugs on growth cones, thus implicating inositol depletion in their action."
explanation: >-
Williams et al. showed that lithium, valproate, and carbamazepine converge
on inositol depletion — exogenous inositol rescues their shared cellular
effect, direct evidence for the inositol-depletion mechanism.
- reference: PMID:12015604
reference_title: "A common mechanism of action for three mood-stabilizing drugs."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "Berridge and colleagues suggested that inositol depletion may be the way that lithium works in bipolar affective disorder, but others have suggested that glycogen synthase kinase (GSK3) may be the relevant target."
explanation: >-
Frames the two leading molecular hypotheses of lithium action — inositol
depletion versus GSK-3 inhibition — both of which are curated as distinct
pathophysiology nodes in this entry.
- reference: PMID:21743136
reference_title: "Neuroprotective action of lithium in disorders of the central nervous system."
supports: SUPPORT
evidence_source: OTHER
snippet: "By inhibiting the activity of phosphoinositol phosphatases, it decreases levels of inositol 1,4,5-trisphosphate, a process recently identified as a novel mechanism for inducing autophagy."
explanation: >-
Lithium inhibition of inositol phosphatases lowers IP3 and links inositol
depletion to autophagy induction, a downstream neuroprotective consequence.
phenotypes:
- name: Manic Episodes
category: Psychiatric
frequency: VERY_FREQUENT
diagnostic: true
notes: Elevated mood, decreased sleep, increased activity
phenotype_term:
preferred_term: Mania
term:
id: HP:0100754
label: Mania
- name: Depressive Episodes
category: Psychiatric
frequency: VERY_FREQUENT
phenotype_term:
preferred_term: Depression
term:
id: HP:0000716
label: Depression
evidence:
- reference: PMID:26388529
reference_title: "Bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "onset is most commonly a depressive episode and looks similar to unipolar depression"
explanation: Depressive episodes are the most common presenting mood state in bipolar disorder, frequently mimicking unipolar major depression.
- name: Sleep Disturbance
category: Psychiatric
frequency: VERY_FREQUENT
notes: Decreased need for sleep in mania, insomnia or hypersomnia in depression
phenotype_term:
preferred_term: Sleep Disturbance
term:
id: HP:0002360
label: Sleep disturbance
- name: Psychosis
category: Psychiatric
frequency: OCCASIONAL
notes: Can occur in severe mania or depression
phenotype_term:
preferred_term: Psychosis
term:
id: HP:0000709
label: Psychosis
- name: Anxiety
category: Psychiatric
frequency: FREQUENT
phenotype_term:
preferred_term: Anxiety
term:
id: HP:0000739
label: Anxiety
- name: Cognitive Impairment
category: Neurological
frequency: FREQUENT
notes: Executive function, attention deficits
phenotype_term:
preferred_term: Cognitive Impairment
term:
id: HP:0100543
label: Cognitive impairment
evidence:
- reference: PMID:23846857
reference_title: "Clinical phenotypes of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP)."
supports: SUPPORT
snippet: "All proband groups showed lower psychosocial functioning than the relatives or comparison group. On average, schizophrenia probands showed more symptoms and lower psychosocial functioning than probands with psychotic bipolar disorder, but there was considerable overlap in clinical manifestations."
explanation: The B-SNIP study demonstrates that cognitive and psychosocial impairment is a consistent feature across psychotic disorders including bipolar disorder, though with varying severity.
biochemical:
- name: BDNF
presence: Decreased
context: Reduced in both manic and depressive episodes
- name: Cortisol
presence: Elevated
context: HPA axis dysregulation
- name: Inflammatory Markers
presence: Elevated
context: IL-6, TNF-alpha during episodes
genetic:
- name: CACNA1C
gene_term:
preferred_term: CACNA1C
term:
id: hgnc:1390
label: CACNA1C
association: Risk Factor
notes: Calcium channel
evidence:
- reference: PMID:18711365
reference_title: "Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder."
supports: SUPPORT
snippet: "We also found further support for the previously reported CACNA1C (alpha 1C subunit of the L-type voltage-gated calcium channel; combined P = 7.0 x 10(-8), rs1006737)."
explanation: Landmark GWAS study providing genome-wide significant evidence that CACNA1C is a susceptibility locus for bipolar disorder, implicating calcium channel dysfunction in disease pathogenesis.
- reference: PMID:21057379
reference_title: "Case-case genome-wide association analysis shows markers differentially associated with schizophrenia and bipolar disorder and implicates calcium channel genes."
supports: SUPPORT
snippet: "The finding for CACNG5, taken together with the earlier implication of CACNA1C and CACNA1B, strongly suggests a key role for voltage-dependent calcium channel genes in the susceptibility to bipolar disorder and/or schizophrenia."
explanation: Case-case GWAS analysis further confirms the critical role of calcium channel genes including CACNA1C in bipolar disorder susceptibility.
- reference: PMID:25403839
reference_title: "Functional implications of a psychiatric risk variant within CACNA1C in induced human neurons."
supports: SUPPORT
evidence_source: IN_VITRO
directness: DIRECT
snippet: "we performed electrophysiology and quantitative PCR experiments that demonstrated increased L-type VGCC current density as well as increased mRNA expression of CACNA1C in iNs homozygous for the risk genotype, compared with non-risk genotypes"
explanation: >-
Bridges the variant-to-function gap for the entry's flagship risk gene:
induced human neurons from over 20 fibroblast lines show that the
rs1006737 risk genotype raises CACNA1C transcript level and L-type
calcium current density, fixing the direction of effect as gain of
channel function. Scope caveat recorded by the authors themselves --
the rs1006737 haplotype is transdiagnostic and the donors included
unaffected individuals, so this establishes a genotype-to-channel
phenotype rather than a bipolar-specific circuit mechanism.
- reference: PMID:39370418
reference_title: "Cacna1c deficiency in forebrain glutamatergic neurons alters behavior and hippocampal plasticity in female mice."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
directness: INDIRECT
snippet: "In the hippocampus, Cav1.2 inactivation enhanced presynaptic paired-pulse facilitation without altering postsynaptic LTP at CA3-CA1 synapses. In addition, CA1 pyramidal neurons of female CKO mice displayed a reduction in dendritic complexity and spine density."
explanation: >-
Cell-type-restricted Cav1.2 loss in forebrain glutamatergic neurons
produces behavioral, synaptic, and dendritic changes, establishing that
the channel is functionally required in exactly the neuron class this
model implicates. Graded INDIRECT because the direction is opposite to
the human risk allele: this is a loss-of-function knockout, whereas
PMID:25403839 associates the risk genotype with increased CACNA1C
expression and current. The phenotypes are also not bipolar-specific,
so the study is gene-function evidence rather than directionally
convergent validation of the human risk edge.
- name: ANK3
gene_term:
preferred_term: ANK3
term:
id: hgnc:494
label: ANK3
association: Risk Factor
notes: Ankyrin-3
evidence:
- reference: PMID:18711365
reference_title: "Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder."
supports: SUPPORT
snippet: "To identify susceptibility loci for bipolar disorder, we tested 1.8 million variants in 4,387 cases and 6,209 controls and identified a region of strong association (rs10994336, P = 9.1 x 10(-9)) in ANK3 (ankyrin G)."
explanation: Genome-wide significant association of ANK3 with bipolar disorder in large-scale GWAS, establishing ankyrin G as a key susceptibility gene that may affect neuronal excitability and synaptic function.
- name: ODZ4
association: Risk Factor
evidence:
- reference: PMID:21926972
reference_title: "Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "In particular, we support prior findings in CACNA1C, and now identify ODZ4 as associated with BD."
explanation: Psychiatric GWAS Consortium large-scale GWAS established genome-wide-significant association of the teneurin gene ODZ4 (TENM4) with bipolar disorder.
- name: NCAN
gene_term:
preferred_term: NCAN
term:
id: hgnc:2465
label: NCAN
association: Risk Factor
evidence:
- reference: PMID:21353194
reference_title: "Genome-wide association study identifies genetic variation in neurocan as a susceptibility factor for bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Genetic variation in the neurocan gene (NCAN) showed genome-wide significant association with BD"
explanation: GWAS with independent replication identified the extracellular-matrix glycoprotein gene NCAN (neurocan) as a genome-wide-significant bipolar disorder susceptibility locus.
- name: SETD1A
gene_term:
preferred_term: SETD1A
term:
id: hgnc:29010
label: SETD1A
association: Candidate risk factor (founder-population missense allele; nominal association, not yet replicated)
relationship_type: SUSCEPTIBILITY
notes: >-
SETD1A encodes a histone H3K4 methyltransferase and is an established
large-effect schizophrenia risk gene; its status as a bipolar-disorder risk
gene is far weaker and rests, at present, on a single founder-population
study. A missense allele enriched 55-fold in the Lancaster Old Order Amish
(p.Pro596Leu, rs139187973) was associated with a 1.8-fold relative risk for
bipolar disorder at nominal significance only (P = 0.027), in a
non-peer-reviewed preprint. The allele-dose-dependent cognitive effect and
the patient-derived iPSC phenotypes are the stronger part of that report;
the diagnostic association itself is the weaker part, and is recorded here
as a lead rather than an established locus. See the linked KNOWLEDGE_GAP
discussion for what replication would require.
variants:
- name: SETD1A p.Pro596Leu (rs139187973)
description: >-
A missense substitution outside the catalytic SET domain, at 5.2% allele
frequency in the Lancaster Old Order Amish versus 0.09% in gnomAD exomes.
Patient-derived iPSCs homozygous for the allele show signatures of SETD1A
hypofunction rather than a clean null, so the allele is best read as a
hypomorph rather than as equivalent to the loss-of-function alleles that
drive the schizophrenia association.
type: missense variant
functional_effects:
- function: histone H3K4 methyltransferase activity
description: >-
Homozygous carrier iPSCs proliferate more slowly and are markedly more
susceptible to hydroxyurea-induced DNA double-strand breaks; the
proliferation deficit is rescued by overexpression of reference-sequence
SETD1A, and neurite and senescence phenotypes are partially rescued by
inhibiting the opposing H3K4 demethylase KDM5.
type: loss-of-function
evidence:
- reference: PPR:PPR1277941
reference_title: "Clinical, cellular, and genomic consequences of a population-enriched SETD1A missense variant"
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: >-
Exome sequencing (n = 3,736) revealed a population-enriched SETD1A
missense variant (P596L) in the Lancaster Old Order Amish founder
population, presenting a unique opportunity to elucidate
variant-specific, multi-scale mechanisms.
explanation: >-
Establishes the founder-population enrichment that makes this specific
allele tractable, and the reason it is not informative about
bipolar-disorder risk in the general population.
- reference: PPR:PPR1277941
reference_title: "Clinical, cellular, and genomic consequences of a population-enriched SETD1A missense variant"
supports: SUPPORT
evidence_source: IN_VITRO
snippet: >-
Induced pluripotent stem cells (iPSCs) from homozygous carriers
exhibited signatures of SETD1A hypofunction, including reduced
proliferation and heightened susceptibility to replication stress and
DNA double-strand breaks.
explanation: >-
Sources the hypomorph reading of the allele - patient-derived cells show
reduced SETD1A function with genome-instability consequences rather than
a null phenotype.
evidence:
- reference: PPR:PPR1277941
reference_title: "Clinical, cellular, and genomic consequences of a population-enriched SETD1A missense variant"
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "was associated with a 1.8-fold relative risk for BD in our sample (P = 0.027; Fig. 1A)."
explanation: >-
The primary bipolar-disorder association, quoted with its effect size and
p-value rather than from the abstract. The effect is nominal (P = 0.027,
uncorrected), confined to a single founder population, and reported in a
non-peer-reviewed preprint, so this is recorded as a lead rather than an
established locus - see the linked knowledge gap for what replication
would require.
- reference: PPR:PPR1277941
reference_title: "Clinical, cellular, and genomic consequences of a population-enriched SETD1A missense variant"
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "homozygotes performing worse than heterozygotes, especially on the Verbal Memory subtest."
explanation: >-
An allele-dose-dependent quantitative phenotype in adult carriers, which
is a stronger genetic argument than the diagnostic association itself
because it does not depend on case ascertainment.
- reference: PMID:26974950
reference_title: "Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Together, our observations indicate that LoF variants in SETD1A cause a range of neurodevelopmental disorders, including schizophrenia."
explanation: >-
Peer-reviewed context for the gene, not for the bipolar association: SETD1A
disruption already spans a range of neurodevelopmental diagnoses, which is
the prior that makes a mood-disorder association plausible enough to
record. It does not itself implicate SETD1A in bipolar disorder.
- name: ITIH3
gene_term:
preferred_term: ITIH3
term:
id: hgnc:6168
label: ITIH3
association: Risk Factor
relationship_type: SUSCEPTIBILITY
notes: >-
ITIH3 lies in the extended 3p21.1 psychiatric risk region (GRCh38
chr3:52.79-52.81 Mb), immediately adjacent to ITIH1 and ITIH4 and within the
same long-range LD block as GNL3, NEK4, GLT8D1, SFMBT1 and NISCH. Scope
caveat: the index SNPs reported by the largest bipolar disorder GWAS are inside this
region but not inside ITIH3 itself (rs2336147 is ~185 kb proximal to the ITIH cluster), so this
entry records a locus-level susceptibility signal, not a demonstrated ITIH3
coding or regulatory effect. ITIH3/ITIH4 were specifically prioritized as the
shared bipolar-disorder/OCD pleiotropic signal by a 2026 cross-trait conjFDR
plus SMR/colocalization analysis, which remains a non-peer-reviewed preprint;
the effector gene at 3p21.1 is still contested (see the attached knowledge
gap). ITIH heavy chains covalently cross-link hyaluronan in the
extracellular matrix, which would place this locus in the same
ECM-remodelling theme as the established bipolar NCAN (neurocan) locus.
evidence:
- reference: PMID:34002096
reference_title: "Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "9c 3 52626443 rs2336147 3.6 × 10−13 1.070 0.009 T/C 0.498 ITIH1 (PGC2) SCZ, CDG"
explanation: >-
Table 1 row from the PGC bipolar disorder GWAS (41,917 cases): locus 9,
index SNP rs2336147 at chr3:52,626,443 (GRCh37; 3p21.1), P = 3.6 x 10^-13,
OR 1.070, named by the authors for ITIH1 and previously reported for
schizophrenia and by the Cross-Disorder Group. This is the peer-reviewed
genome-wide-significant bipolar association at the ITIH-cluster locus; the
index SNP itself sits proximal to the ITIH genes rather than within them.
- reference: PPR:PPR1294131
reference_title: "Cross-trait genomic analyses implicate the ITIH3 and ITIH4 locus in the shared genetic architecture of bipolar disorder and obsessive-compulsive disorder"
supports: SUPPORT
evidence_source: COMPUTATIONAL
snippet: "ConjFDR analysis revealed 2,143 pleiotropic SNPs jointly associated with BIP and OCD, with convergent signals at the ITIH3/ITIH4 locus."
explanation: >-
Cross-trait conjunctional-FDR analysis of bipolar disorder and OCD GWAS
summary statistics converges on the ITIH3/ITIH4 locus. PARTIAL because
this is a non-peer-reviewed preprint and a summary-statistics analysis: it
prioritizes ITIH3/ITIH4 among the genes at 3p21.1 but does not
experimentally establish either gene as the effector.
- name: AKAP11
association: Risk Factor
relationship_type: RISK_FACTOR
notes: >-
The one rare-variant risk gene curated for this entry, and the only one
reaching exome-wide significance in bipolar disorder to date. Ultra-rare
protein-truncating variants in AKAP11 are enriched in bipolar cases in the
BipEx collaboration, but the headline gene-level result is reached only
after meta-analysis with the schizophrenia SCHEMA exome data, so the risk
is shared with schizophrenia rather than bipolar-specific. AKAP-11 is a
PKA-anchoring scaffold that binds GSK3B, which is why the gene is read as
rare-variant convergence on the pathway lithium is thought to act through;
that inference rests on a protein-protein interaction, not on any
demonstration that the truncating variants act via GSK3B or that GSK3B
inhibition is lithium's necessary therapeutic mechanism. The same study
found that common-variant GWAS loci are not enriched for ultra-rare
truncating variants, so common and rare risk in bipolar disorder are at
least partly distinct in their gene sets.
evidence:
- reference: PMID:35410376
reference_title: "Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Combining gene-level results with SCHEMA, AKAP11 emerges as a definitive risk gene"
explanation: >-
Whole-exome sequencing of 13,933 bipolar cases and 14,422 controls
establishes AKAP11 as a bipolar risk gene. The qualification is in the
sentence itself: the definitive gene-level result requires combining
BipEx with the schizophrenia SCHEMA analysis, so this is a cross-disorder
rather than bipolar-specific finding.
- reference: PMID:35410376
reference_title: "Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
directness: INDIRECT
snippet: "At the protein level, AKAP-11 interacts with GSK3B, the hypothesized target of lithium, a primary treatment for BD."
explanation: >-
The basis for reading AKAP11 as independent rare-variant convergence on
the GSK-3 beta pillar of this model. Graded INDIRECT because the link is
a protein-protein interaction reported by the same paper, not a
demonstration that AKAP11 truncating variants change GSK3B activity in
patients.
- reference: PMID:35410376
reference_title: "Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Genes implicated from genome-wide association studies (GWASs) of BD, however, are not significantly enriched for ultra-rare PTVs."
explanation: >-
Records that the common-variant loci curated above (CACNA1C, ANK3, ODZ4,
NCAN, the 3p21.1 region) are not the genes carrying the rare truncating
burden, so the polygenic common-variant architecture and the rare-variant
architecture are at least partly separate rather than two readouts of one
gene set.
environmental:
- name: Childhood Trauma
exposure_term:
preferred_term: psychological stress
term:
id: XCO:0001265
label: stress
notes: Increases risk
evidence:
- reference: PMID:33364762
reference_title: "The Impact of Childhood Trauma on Developing Bipolar Disorder: Current Understanding and Ensuring Continued Progress."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "individuals with BD are 2.63 times more likely to report CT compared to healthy individuals"
explanation: Review quantifies childhood trauma as a risk factor for bipolar disorder, with individuals with BD reporting childhood trauma at 2.63 times the rate of healthy individuals.
- name: Sleep Deprivation
exposure_term:
preferred_term: sleep deprivation
term:
id: XCO:0001069
label: sleep restriction
notes: Can trigger manic episodes
evidence:
- reference: PMID:10482346
reference_title: "Rate of switch from depression into mania after therapeutic sleep deprivation in bipolar depression."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "we observed a 4.85% switch rate into mania and a 5.83% switch rate into hypomania"
explanation: Clinical trial of therapeutic sleep deprivation in 206 bipolar depressed patients measured the switch into mania (4.85%) and hypomania (5.83%), quantifying sleep loss as a trigger of manic episodes.
- name: Substance Use
notes: Comorbid and can trigger episodes
evidence:
- reference: PMID:34833474
reference_title: "Bipolar Disorder and Comorbid Use of Illicit Substances."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Substance use disorders (SUD) are highly prevalent in bipolar disorder (BD) and significantly affect clinical outcomes"
explanation: "PARTIAL: this supports the comorbidity half of the annotation and an effect on clinical course, but not the episode-triggering half. The same review notes it is still unclear why bipolar patients are at higher risk of addictive disorders, so the direction of that relationship is not settled."
- reference: PMID:27476137
reference_title: "Prevalence of comorbid bipolar and substance use disorders in clinical settings, 1990-2015: Systematic review and meta-analysis."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "The SUDs with the highest prevalence in BD were alcohol use (42%) followed by cannabis use (20%) and other illicit drug use (17%)"
explanation: Systematic review and meta-analysis quantifies the high prevalence of comorbid substance use disorders in bipolar disorder.
- name: Stress
exposure_term:
preferred_term: psychological stress
term:
id: XCO:0001265
label: stress
notes: Life events can precipitate episodes
evidence:
- reference: PMID:24751308
reference_title: "Stressful life events in bipolar I and II disorder: cause or consequence of mood symptoms?"
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Negative life events were significantly associated with both subsequent severity of mania and depressive symptoms and functional impairment"
explanation: "Prospective study of 173 bipolar outpatients assessed quarterly for two years. PARTIAL because the same study found the reverse direction as well -- depressive symptoms preceded negative life events, and manic symptoms preceded positive ones -- so its own title asks whether life events are cause or consequence, and its authors state the design cannot settle that."
- reference: PMID:36940629
reference_title: "Triggers for acute mood episodes in bipolar disorder: A systematic review."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "possible triggers including fasting, decreased sleep and stressful life events"
explanation: Systematic review of triggers for acute mood episodes in bipolar disorder identifies stressful life events among triggers for depressive relapse.
treatments:
- name: Lithium
description: First-line mood stabilizer, effective for mania and suicide prevention.
therapeutic_modality: SMALL_MOLECULE
treatment_term:
preferred_term: Pharmacotherapy
term:
id: NCIT:C15986
label: Pharmacotherapy
therapeutic_agent:
- preferred_term: lithium carbonate
term:
id: CHEBI:6504
label: lithium carbonate
target_mechanisms:
- target: GSK-3β Signaling Dysregulation
treatment_effect: INHIBITS
description: >-
Lithium inhibits GSK-3β both directly (Mg2+-competitive) and indirectly
(via Akt / β-arrestin-2 / PP2A), stabilizing β-catenin and mimicking
canonical Wnt signaling — the principal proposed molecular basis of its
mood-stabilizing effect.
evidence:
- reference: PMID:8710892
reference_title: "A molecular mechanism for the effect of lithium on development."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "Our results suggest that lithium acts through inhibition of glycogen synthase kinase-3 beta (GSK-3 beta), which regulates cell fate determination in diverse organisms including Dictyostelium, Drosophila, and Xenopus."
explanation: Direct evidence that lithium acts by inhibiting GSK-3β.
- target: Phosphoinositide Signaling Dysregulation
treatment_effect: INHIBITS
description: >-
Lithium uncompetitively inhibits inositol monophosphatase and related
phosphatases, depleting free inositol and dampening PIP2 / IP3 signaling.
evidence:
- reference: PMID:12015604
reference_title: "A common mechanism of action for three mood-stabilizing drugs."
supports: SUPPORT
evidence_source: MODEL_ORGANISM
snippet: "Inositol, however, reverses the effects of the drugs on growth cones, thus implicating inositol depletion in their action."
explanation: Inositol rescue implicates inositol depletion as a mechanism of lithium action.
- target: Circadian Rhythm Disruption
treatment_effect: MODULATES
description: >-
Through GSK-3β inhibition lithium lengthens circadian period and stabilizes
clock-gene rhythm amplitude, addressing circadian instability in bipolar disorder.
- target: Neuroplasticity Alterations
treatment_effect: MODULATES
description: >-
Lithium induces BDNF signaling and upregulates neurotrophic/neuroprotective
pathways, enhancing synaptic plasticity in fronto-limbic mood circuits.
evidence:
- reference: PMID:41672966
reference_title: "Lithium effects in the frontolimbic circuitry: a systematic review of neuroimaging findings in bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
directness: INDIRECT
snippet: "Across modalities, lithium treatment was most consistently associated with larger volumes in the hippocampus, amygdala, anterior cingulate cortex (ACC), and prefrontal cortex (PFC), and with higher white-matter integrity within frontolimbic circuitry."
explanation: >-
Locates lithium's structural association in exactly the fronto-limbic
regions this model names, at the circuit level rather than the
molecular level. Graded INDIRECT deliberately: a volume association is
an inference step away from the plasticity mechanism this edge asserts.
- reference: PMID:41672966
reference_title: "Lithium effects in the frontolimbic circuitry: a systematic review of neuroimaging findings in bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "Overall risk of bias was substantial, yielding low-to-moderate certainty of evidence."
explanation: >-
The review's own certainty rating, curated alongside its headline result
so the edge is not read as established causation. 78 of the 115 included
studies were cross-sectional and only six were randomized, so the design
base cannot separate a protective drug effect from confounding by who
stays on lithium.
evidence:
- reference: PMID:22363263
reference_title: "Inhibition of GSK3 by lithium, from single molecules to signaling networks."
supports: SUPPORT
snippet: "Lithium has been reported to reduce suicide rates and prevent manic episodes in individuals with bipolar disorder, major depression, or schizoaffective disorders"
explanation: Lithium is the gold standard mood stabilizer for bipolar disorder with demonstrated efficacy in preventing manic episodes and reducing suicide risk through GSK3 inhibition.
- reference: PMID:22363263
reference_title: "Inhibition of GSK3 by lithium, from single molecules to signaling networks."
supports: SUPPORT
snippet: "In 1996, two independent studies (Klein and Melton, 1996; Stambolic et al., 1996) of the effects of lithium on cell signaling and development have identified a direct effect of lithium on the activity of GSK3 both in vitro and in cells."
explanation: Lithium's therapeutic mechanism involves direct inhibition of GSK3 and indirect effects through the Akt/beta-arrestin pathway, providing molecular basis for its mood-stabilizing effects.
- reference: PMID:21743136
reference_title: "Neuroprotective action of lithium in disorders of the central nervous system."
supports: SUPPORT
evidence_source: OTHER
snippet: "By inhibiting N-methyl-D-aspartate receptor-mediated calcium influx, for instance, it suppresses the calcium-dependent activation of pro-apoptotic signaling pathways."
explanation: >-
Beyond GSK-3β and inositol depletion, lithium contributes to neuronal
calcium homeostasis by limiting NMDA-receptor calcium influx and downstream
pro-apoptotic signaling.
- reference: PMID:38395906
reference_title: "Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "We identified functional enrichment in focal adhesion and PI3K-Akt pathways, but we did not find an association with the ECM pathway."
explanation: >-
Substantiates the pharmacogenomic qualification asserted in this entry's
mechanistic-hypothesis notes. In 2,039 ConLiGen patients, the genetic
signal for who responds to lithium falls in focal-adhesion and PI3K-Akt
networks. Read precisely: the reported negative is for the ECM pathway,
and the study did not test GSK3B or inositol pathways head to head, so it
shows where the inter-individual response signal is rather than refuting
the GSK-3β account of lithium's action.
- reference: PMID:16179524
reference_title: "The antiapoptotic actions of mood stabilizers: molecular mechanisms and therapeutic potentials."
supports: SUPPORT
evidence_source: IN_VITRO
directness: INDIRECT
snippet: "The neuroprotective mechanisms involve inactivation of NMDA receptors through inhibition of NR2B tyrosine phosphorylation, activation of cell survival factors such as the PI 3-kinase/Akt signaling pathway, and induction of neurotrophic/neuroprotective proteins, including brain-derived neurotrophic factor, heat-shock protein (HSP), and Bcl-2."
explanation: >-
Provides the reconciliation between the two previous items: PI3K-Akt is
itself part of lithium's neuroprotective signaling, and Akt phosphorylates
and inactivates GSK-3β, so a PI3K-Akt response signal is compatible with a
GSK-3β endpoint rather than being an alternative to it. Graded INDIRECT
because this is rat primary neuronal culture work reviewed in a
neuroprotection context, and the cascade reconciliation was not tested in
the ConLiGen response cohort.
- name: Valproate
description: Mood stabilizer, effective for mania.
evidence:
- reference: PMID:11473107
reference_title: "Histone deacetylase is a direct target of valproic acid, a potent anticonvulsant, mood stabilizer, and teratogen."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "Valproic acid is widely used to treat epilepsy and bipolar disorder"
explanation: Establishes valproate as a mood stabilizer used in bipolar disorder and identifies histone deacetylase inhibition as a molecular mechanism of action.
- name: Lamotrigine
description: Mood stabilizer, more effective for depression prevention.
- name: Atypical Antipsychotics
description: Quetiapine, olanzapine, aripiprazole for mania and maintenance.
- name: Antidepressants
description: Used cautiously with mood stabilizer to prevent switch to mania.
- name: Psychotherapy
description: >-
CBT, interpersonal therapy, psychoeducation. Interpersonal and social
rhythm therapy (IPSRT) is the arm that bears on this entry's circadian
mechanism: it adds an explicit social-rhythm regulation component to
interpersonal psychotherapy, and is the closest thing to a clinical test of
whether stabilizing daily rhythms alters the course of bipolar disorder.
target_mechanisms:
- target: Circadian Rhythm Disruption
treatment_effect: MODULATES
description: >-
IPSRT regularizes sleep and social routines, and greater achieved
regularity during acute treatment tracks lower recurrence in maintenance.
This is an association within a randomized trial rather than a
demonstrated causal pathway: IPSRT is multicomponent, so the benefit
cannot be attributed to the circadian component alone, and the
social-rhythm analysis is mediational rather than a direct circadian
perturbation.
evidence:
- reference: PMID:16143731
reference_title: "Two-year outcomes for interpersonal and social rhythm therapy in individuals with bipolar I disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
directness: INDIRECT
snippet: "Ability to increase regularity of social rhythms during acute treatment was associated with reduced likelihood of recurrence during the maintenance phase (P = .05)."
explanation: >-
The specific result linking rhythm regularity to clinical course, and so
the only clinical evidence in this entry bearing on the circadian node
as a modifiable target. Graded INDIRECT because it is an
association between an achieved process measure and outcome, not a
randomized manipulation of circadian timing.
evidence:
- reference: PMID:16143731
reference_title: "Two-year outcomes for interpersonal and social rhythm therapy in individuals with bipolar I disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "participants assigned to IPSRT in the acute treatment phase survived longer without a new affective episode (P = .01), irrespective of maintenance treatment assignment"
explanation: >-
Randomized trial in 175 acutely ill bipolar I patients showing that acute
phase IPSRT lengthened time to a new episode over two years of
maintenance. Note the scope: patients entered acutely ill rather than
euthymic, so this is not the prevention-from-euthymia trial the entry's
chronotherapy gap refers to.
- reference: PMID:16143731
reference_title: "Two-year outcomes for interpersonal and social rhythm therapy in individuals with bipolar I disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "We observed no difference between the treatment strategies in time to stabilization."
explanation: >-
Curated alongside the positive result to keep the claim bounded: IPSRT did
not speed acute stabilization, and its benefit in this trial was confined
to prophylaxis against later episodes.
- reference: PMID:26388529
reference_title: "Bipolar disorder."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "the evolving pharmacological and psychological strategies in bipolar disorder is of utmost importance"
explanation: This clinical review emphasizes psychological (psychotherapeutic) strategies alongside pharmacotherapy as core to bipolar disorder management.
- name: ECT
description: For severe or treatment-resistant episodes.
experimental_models:
- name: Bipolar patient iPSC-derived hippocampal dentate gyrus-like neurons
experimental_model_type: IPSC_DERIVED_MODEL
description: >-
Hippocampal dentate gyrus granule cell-like neurons differentiated from
induced pluripotent stem cells of six patients with bipolar I disorder and
four unaffected individuals. Three of the patients responded to lithium
in a clinical trial and three did not. This is the only patient-derived
model in this entry. The neurons were studied at three weeks of
differentiation, with and without one week of 1 mM lithium chloride.
organism:
preferred_term: human
term:
id: NCBITaxon:9606
label: Homo sapiens
cell_types:
- preferred_term: iPSC-derived hippocampal dentate gyrus-like granule neuron
term:
id: CL:0001033
label: hippocampal granule cell
conditions:
- Bipolar I disorder, compared with unaffected individuals
- Lithium chloride at 1 mM for one week, in neurons from clinical lithium responders and non-responders
cell_source: >-
Induced pluripotent stem cells reprogrammed from skin fibroblasts of six
patients with bipolar I disorder and four unaffected individuals, two
clones per person. Patient-derived.
publication: PMID:26524527
modeled_mechanisms:
- target: Neuronal Hyperexcitability
relationship: RECAPITULATES
fidelity: MODERATE
model_scale: CELLULAR
description: >-
Neurons from patients fire action potentials more readily than neurons
from unaffected individuals. Lithium reverses the difference only in
neurons from patients who responded to lithium clinically. This node was
curated from this study.
limitations: >-
Six patients, all white men with bipolar I disorder recruited from
lithium monotherapy trials, and one neuron type. The hyperexcitability
was seen in three-week-old neurons and reversed as the neurons aged. No
experiment shows that it causes mood episodes. Fidelity is MODERATE
because the cells are patient-derived and human, but the finding has
not been matched to a measurement in patients' brains.
divergences:
- divergence_type: POPULATION_MISMATCH
materiality: QUALIFYING
description: >-
The six donors are white men with manic bipolar I disorder from
lithium monotherapy trials. The entry covers bipolar disorder of all
types, in all patients.
evidence:
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
quote_role: PRIMARY_RESULT
snippet: "We collected and reprogrammed fibroblasts of six patients with manic type I bipolar disorder (BD) and four unaffected individuals"
explanation: States the number and diagnosis of the donors.
- divergence_type: TEMPORAL_SCOPE
materiality: QUALIFYING
description: >-
The readout is from neurons three weeks into differentiation. The
authors report that the hyperexcitability reverses in older neurons,
so the finding describes young neurons in culture and not a stable
state.
evidence:
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
quote_role: PRIMARY_RESULT
snippet: "we observed that this hyperexcitability would reverse when the diseased neurons became old"
explanation: Reports the loss of the phenotype in older neurons.
- divergence_type: BOUNDARY_OMISSION
materiality: QUALIFYING
description: >-
The culture is mostly one neuron type. Other hippocampal cell types,
long-range inputs and mood circuits are absent, so the model shows a
cell-intrinsic property and cannot show its effect on circuit
activity.
readouts:
- name: Action-potential firing (patch-clamp recording and calcium imaging)
target: Neuronal Hyperexcitability
direction: INCREASED
biological_processes:
- preferred_term: Action Potential Firing
term:
id: GO:0001508
label: action potential
interpretation: >-
Higher in neurons from patients than in neurons from unaffected
individuals.
evidence:
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
quote_role: PRIMARY_RESULT
snippet: "using both patch-clamp recording and somatic Ca(2+) imaging, we have observed hyperactive action-potential firing"
explanation: The primary electrophysiology and imaging result.
- name: Action-potential firing after lithium, in neurons from clinical lithium responders
target: Neuronal Hyperexcitability
direction: RESTORED
biological_processes:
- preferred_term: Action Potential Firing
term:
id: GO:0001508
label: action potential
interpretation: >-
Lithium lowered firing toward the control level in neurons from
responders and had no clear effect in neurons from non-responders.
evidence:
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
quote_role: PRIMARY_RESULT
snippet: "This hyperexcitability phenotype of young neurons in bipolar disorder was selectively reversed by lithium treatment only in neurons derived from patients who also responded to lithium treatment."
explanation: Reports the reversal and that it was limited to responders' neurons.
evidence:
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
quote_role: PRIMARY_RESULT
snippet: "hyperexcitability is one early endophenotype of bipolar disorder"
explanation: >-
The authors' conclusion that the phenotype seen in patient-derived
neurons belongs to the disorder.
- target: Mitochondrial Dysfunction
relationship: MEASURES
fidelity: UNKNOWN
model_scale: CELLULAR
description: >-
The same neurons show mitochondrial differences from control neurons:
higher expression of mitochondrial genes and a higher mitochondrial
membrane potential.
limitations: >-
The direction is the opposite of the impairment this node describes.
Young patient-derived neurons show enhanced mitochondrial function, so
the model supports a mitochondrial abnormality and does not support
reading it as an energy deficit. The same donor and cell-type limits
apply as for the hyperexcitability link.
readouts:
- name: Mitochondrial membrane potential (flow cytometry, red/green ratio)
target: Mitochondrial Dysfunction
direction: INCREASED
interpretation: >-
Higher in neurons from patients than in control neurons, which the
authors read as enhanced mitochondrial function.
evidence:
- reference: PMID:26524527
reference_title: "Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder."
supports: SUPPORT
evidence_source: IN_VITRO
quote_role: PRIMARY_RESULT
snippet: "Flow cytometry analysis revealed that BD neurons showed increased red/green ratios, indicative of enhanced mitochondrial function"
explanation: The membrane-potential measurement and its direction.
diagnosis:
- name: Mood Disorder Questionnaire screening
description: >-
The Mood Disorder Questionnaire (MDQ) is a brief self-report screening
instrument for bipolar spectrum disorder. A positive screen identifies
patients for diagnostic interview; it does not establish the diagnosis.
Its panel code identifies the instrument and its total-score code carries
the screening threshold.
diagnosis_term:
preferred_term: bipolar disorder screening
term:
id: NCIT:C15419
label: Disease Screening
measurements:
- preferred_term: MDQ
term:
id: LOINC:85102-2
label: Mood Disorder Questionnaire [MDQ]
reference_ranges:
- loinc_term:
id: LOINC:84773-1
label: Total score [MDQ]
unit: '{score}'
population: >-
198 patients attending five outpatient clinics that primarily treat mood
disorders, against the bipolar module of the Structured Clinical
Interview for DSM-IV (Hirschfeld et al. 2000)
notes: >-
The source states "A Mood Disorder Questionnaire screening score of 7 or
more items yielded good sensitivity (0.73) and very good specificity
(0.90)", so 7 is the inclusive lower bound of the upper band. The band
records that item-count threshold exactly as the abstract states it and
nothing more; any further conditions the instrument's scoring
instructions attach to a positive screen are not in the cited abstract
and are not recorded here. In a general-population validation led by the
same first author, the MDQ showed sensitivity 0.281 and specificity 0.972
(PMID:12505821, whose abstract does not state the threshold used), so the
instrument's operating characteristics depend on setting.
interpretation_bands:
- name: Below the screening threshold
lower_bound: 0
upper_bound: 7
unit: '{score}'
abnormal_flag: NORMAL
- name: Screening threshold met (7 or more items)
lower_bound: 7
unit: '{score}'
abnormal_flag: HIGH
evidence:
- reference: PMID:11058490
reference_title: "Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: >-
A Mood Disorder Questionnaire screening score of 7 or more items
yielded good sensitivity (0.73) and very good specificity (0.90).
explanation: >-
States the screening threshold recorded as the lower bound of the
upper band.
notes: >-
Copyright 2002 © Dr. Robert Hirschfeld. Used with permission.
evidence:
- reference: PMID:11058490
reference_title: "Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: >-
The Mood Disorder Questionnaire is a useful screening instrument for
bipolar spectrum disorder in a psychiatric outpatient population.
explanation: >-
The validation study's conclusion supporting the MDQ as a bipolar
spectrum screening instrument in psychiatric outpatients.
- reference: PMID:12505821
reference_title: "Validity of the mood disorder questionnaire: a general population study."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: >-
The operating characteristics of the Mood Disorder Questionnaire in the
general population differ substantially from its characteristics in
outpatient psychiatric settings.
explanation: >-
A general-population validation showing that the instrument's accuracy
differs by setting, which qualifies how a positive screen is read.
discussions:
- discussion_id: gap_bipolar_episodic_switching_trigger
prompt: >-
What determines the switch between manic and depressive states in bipolar
disorder, and in what temporal order do the components of the canonical
model change around a switch - does calcium dysregulation precede circadian
disruption, the reverse, or do both follow an upstream trigger not yet in
the model?
kind: KNOWLEDGE_GAP
status: OPEN
attaches_to:
- mechanistic_hypotheses#canonical_polygenic_synaptic_circadian_dysregulation_model
- pathophysiology#Intracellular Calcium Dysregulation
- pathophysiology#Circadian Rhythm Disruption
rationale: >-
Episodic cycling is the defining clinical feature of bipolar disorder and
is the part of the canonical model with the weakest evidential support.
Every pillar curated in this entry is a vulnerability or trait finding
rather than a transition mechanism, and this shows up consistently in the
primary sources rather than only in the abstract. The replicated
peripheral-cell calcium abnormality showed little correlation with
mood-rating severity in the series that established it (PMID:10418700), so
the most reproducible cellular finding in the field is not obviously
state-coupled. The patient-derived neuron work characterizes
hyperexcitability as an early endophenotype in young neurons
(PMID:26524527), not as a state marker. The strongest causal circadian
manipulation available produces a single mixed state rather than
alternation between separable poles (PMID:20591414). The phasic
mitochondrial account that does address state (PMID:28093238) is explicitly
a proposed explanatory model synthesizing cross-sectional comparisons, not
a study of transition dynamics: comparing manic to euthymic subjects
establishes that states differ, which is a different claim from
establishing what moves a patient between them. This gap is the substantive
content of the PARTIALLY_SUPPORTED verdict returned by the 2026
OpenScientist assessment of this hypothesis - the framework organizes
vulnerability well and does not currently explain episodicity - and it is
why the entry retains CANONICAL status for the vulnerability model without
asserting a switching mechanism.
proposed_experiments:
- experiment_id: exp_bipolar_peri_switch_longitudinal_multiomics
name: Densely sampled longitudinal multi-omics through a mood switch
description: >-
Follow rapid-cycling bipolar patients through spontaneous mood
transitions with dense temporal sampling - weekly peripheral blood for
intracellular calcium, transcriptomics, cytokines and cortisol, continuous
actigraphy and sleep timing for circadian phase, and periodic imaging -
so that the order in which calcium, circadian and inflammatory measures
change relative to clinical switch can be established within individuals.
Within-subject design is essential: cross-sectional comparison of manic
and euthymic groups cannot recover temporal ordering.
experiment_type:
preferred_term: longitudinal within-subject observational study
would_support:
- pathophysiology#Intracellular Calcium Dysregulation
- pathophysiology#Circadian Rhythm Disruption
- mechanistic_hypotheses#canonical_polygenic_synaptic_circadian_dysregulation_model
would_refute:
- mechanistic_hypotheses#canonical_polygenic_synaptic_circadian_dysregulation_model
supporting_outcome:
- >-
Calcium or circadian measures change reproducibly in a consistent
direction and in a consistent order in the days preceding clinical
switch, across multiple patients and multiple switches, which would
promote the corresponding node from a trait association to a step in the
switching mechanism.
- >-
Circadian phase shift consistently precedes the calcium change, which
would order the two pillars and identify circadian destabilization as the
proximal trigger rather than a parallel correlate.
refuting_outcome:
- >-
Calcium and circadian measures remain flat across switches, or change
only after clinical state has already changed, which would establish them
as trait vulnerability markers and consequences respectively and force
the switching trigger to be sought outside the components this model
names.
decision_criterion: >-
The model gains a switching mechanism only if a measured change in a
curated node reliably precedes clinical switch within individuals. Change
that follows the switch, or that does not replicate across patients,
leaves the gap open regardless of effect size.
evidence:
- reference: PMID:10418700
reference_title: "Elevated basal and thapsigargin-stimulated intracellular calcium of platelets and lymphocytes from bipolar affective disorder patients measured by a fluorometric microassay."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "We also found little correlation between calcium measures and the severity of mood rating."
explanation: >-
The null result that opens this gap. The same study that established the
elevated-calcium finding found it did not track mood severity, so the
field's most replicated cellular abnormality is not demonstrably
state-coupled.
- reference: PMID:28093238
reference_title: "A model of the mitochondrial basis of bipolar disorder."
supports: SUPPORT
evidence_source: OTHER
snippet: "there is accumulating evidence indicating increased mitochondrial respiration and ATP production in bipolar mania which contrasts with decreased mitochondrial function in patients in the euthymic or depressive phase of the illness"
explanation: >-
States the phasic proposal that is currently the field's best answer to
the switching question, and shows what it rests on: cross-sectional
contrasts between mood states. Establishing that states differ is not the
same as establishing what causes transition between them, which is why
the gap remains open.
- discussion_id: gap_bipolar_calcium_channel_psychiatric_cardiovascular_pleiotropy
prompt: >-
Do the calcium-channel susceptibility loci shared between bipolar disorder
and cardiovascular disease (the established CACNA1C locus plus the
pleiotropic genes TPCN1, CACNA2D2, CACNA1D, and ATP2B1) reflect a single
causal calcium-signaling axis acting in both brain and cardiovascular
tissue, and what is the direction of causation - does psychiatric-risk
calcium-channel genotype drive cardiac electrophysiological change (e.g.,
QTc prolongation), or the converse?
kind: KNOWLEDGE_GAP
status: OPEN
attaches_to:
- genetic#CACNA1C
rationale: >-
A genome-wide pairwise pleiotropy study in East Asians (Zhu et al., 2026;
PMID:42436150) found shared genetic architecture across psychiatric and
cardiovascular disease pairs converging on voltage-dependent calcium-channel
activity, with novel pleiotropic genes (TPCN1, CACNA2D2, CACNA1D, ATP2B1)
enriched in the calcium-signaling pathway alongside the established
bipolar/schizophrenia locus CACNA1C. A calcium-pathway polygenic risk score
was associated with prolonged QTc, and drug-target analysis implicated
calcium-channel blockers and peripheral vasodilators in elevated
schizophrenia risk while diuretics reduced risk across schizophrenia,
bipolar disorder, and major depressive disorder. The unresolved gaps are
(1) whether the same calcium-channel variants are the primary driver in
brain versus a secondary consequence in cardiovascular tissue
(tissue-specific direction of effect), (2) the causal direction of the
calcium-genotype to QTc association, and (3) the mechanistic basis for the
apparent antagonistic pleiotropy in treatment response - why L-type
calcium-channel modulation may be relevant to mood episodes yet
calcium-channel blockade associates with increased psychiatric risk at the
population-genetic level. Resolving this bears directly on the safety of
calcium-channel blockers in patients with concurrent bipolar disorder and
cardiovascular disease. This is a cross-disease gap shared with the
Schizophrenia, Major Depressive Disorder, and Coronary Artery Disease
entries (dismech issue #6382).
proposed_experiments:
- experiment_id: exp_bipolar_calcium_pleiotropy_tissue_mr
name: Tissue-stratified Mendelian randomization of the calcium axis
description: >-
Use brain- and cardiovascular-tissue eQTLs to instrument the pleiotropic
calcium-channel genes (CACNA1C, CACNA1D, CACNA2D2, ATP2B1, TPCN1) in
bidirectional Mendelian randomization against bipolar disorder,
schizophrenia, QTc interval, and coronary artery disease, across
independent and cross-ancestry cohorts.
experiment_type:
preferred_term: Mendelian randomization study
decision_criterion: >-
A shared causal calcium-signaling axis would be supported if the same
tissue-specific calcium-channel instruments showed concordant, directional
effects on both psychiatric and cardiovascular endpoints; discordant or
tissue-limited effects would instead argue for parallel, tissue-restricted
mechanisms.
evidence:
- reference: PMID:42436150
reference_title: "Calcium signaling pathway implicates a shared genetic basis between psychiatric and cardiovascular diseases."
supports: SUPPORT
evidence_source: COMPUTATIONAL
snippet: "Among the novel pleiotropic genes, TPCN1, CACNA2D2, CACNA1D, and ATP2B1 are involved in voltage-dependent calcium channel activity, regulation of calcium influx, enriched in calcium-related pathway."
explanation: >-
Genome-wide pairwise pleiotropy analysis identifies shared
calcium-channel genes across psychiatric and cardiovascular disease,
motivating the shared-axis question.
- reference: PMID:42436150
reference_title: "Calcium signaling pathway implicates a shared genetic basis between psychiatric and cardiovascular diseases."
supports: SUPPORT
evidence_source: COMPUTATIONAL
snippet: "Our findings implicated that calcium-channel blockers and peripheral vasodilators elevated SCZ risk, diuretics reduced the risks of SCZ, BIP, and MDD."
explanation: >-
Drug-target analysis underpinning the antagonistic-pleiotropy
treatment-response gap for calcium-channel modulation.
- discussion_id: gap_bipolar_setd1a_p596l_replication
prompt: >-
Does the SETD1A p.Pro596Leu association with bipolar disorder replicate
outside the Lancaster Old Order Amish founder population, and is SETD1A a
bipolar-disorder risk gene in its own right or only a schizophrenia and
neurodevelopmental-disorder risk gene whose carriers are sometimes given a
mood-disorder diagnosis?
kind: KNOWLEDGE_GAP
status: OPEN
attaches_to:
- genetic#SETD1A
rationale: >-
SETD1A is one of the most robustly established schizophrenia risk genes
(genome-wide significant for rare loss-of-function variants in Singh et al.
2016, and one of ten exome-wide-significant genes in SCHEMA). Its
relationship to bipolar disorder is not established. The only direct
evidence is a founder-population missense allele associated with a 1.8-fold
relative risk at P = 0.027 - nominal, uncorrected, single-population, and
reported in a non-peer-reviewed preprint. Three things make this hard to
resolve rather than merely under-powered. (1) The allele is 55-fold enriched
in the Old Order Amish and rare elsewhere (0.09% in gnomAD), so direct
replication in an unrelated cohort is not feasible for this variant; any
replication has to be at gene level, on a different allelic series. (2) The
schizophrenia association is driven by loss-of-function alleles, whereas
P596L behaves as a hypomorph in patient-derived iPSCs, so a gene-level
bipolar test is not testing the same perturbation. (3) Bipolar and
schizophrenia diagnoses are not cleanly separable in carriers of large-effect
chromatin-regulator variants, so a positive gene-level result would still
need to distinguish a bipolar-specific effect from diagnostic assignment
within a shared psychosis-spectrum liability. Until then the entry records
the allele as a lead, not as a susceptibility locus comparable to CACNA1C or
ANK3.
proposed_experiments:
- experiment_id: exp_bipolar_setd1a_gene_burden
name: Gene-level SETD1A rare-variant burden test in large bipolar cohorts
description: >-
Test rare damaging SETD1A variation for association with bipolar disorder
in the largest available bipolar exome or genome collections, stratified by
variant class (protein-truncating versus damaging missense), and
conditioning on schizoaffective and psychotic-feature status to separate a
bipolar-specific signal from shared psychosis-spectrum liability.
experiment_type:
preferred_term: rare-variant burden association study
decision_criterion: >-
A bipolar-specific role would be supported by exome-wide-significant
SETD1A burden in bipolar cases that survives conditioning on psychotic
features; a signal that disappears under that conditioning, or that is
carried entirely by protein-truncating alleles with no missense
contribution, would instead argue that the P596L finding reflects the
known schizophrenia and neurodevelopmental association rather than a
distinct bipolar mechanism.
evidence:
- reference: PPR:PPR1277941
reference_title: "Clinical, cellular, and genomic consequences of a population-enriched SETD1A missense variant"
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "was associated with a 1.8-fold relative risk for BD in our sample (P = 0.027; Fig. 1A)."
explanation: >-
The nominal, single-population association that motivates the gap.
- reference: PPR:PPR1277941
reference_title: "Clinical, cellular, and genomic consequences of a population-enriched SETD1A missense variant"
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "associated with bipolar disorder risk and cognitive deficits in specific sub-domains."
explanation: >-
The authors' own summary of what the variant is and is not shown to do -
a risk association plus selective cognitive deficits, with no claim of an
established bipolar-disorder locus.
- discussion_id: gap_bip_ocd_3p21_1_effector_gene_and_h3k27ac
prompt: >-
Which gene at the 3p21.1 locus carries the risk signal shared between
bipolar disorder and obsessive-compulsive disorder, and is prefrontal-cortex
H3K27ac histone acetylation the regulatory mechanism through which it acts -
or is the ITIH3/ITIH4 prioritization an artifact of the long-range linkage
disequilibrium that also spans GLT8D1, SFMBT1, NEK4 and NISCH?
kind: KNOWLEDGE_GAP
status: OPEN
attaches_to:
- genetic#ITIH3
rationale: >-
3p21.1 is genome-wide significant in the largest GWAS of both disorders, and
a 2026 cross-trait analysis (conjFDR, SMR, multi-omic colocalization)
prioritizes ITIH3/ITIH4 as the shared pleiotropic signal, with SNPs
colocalizing with H3K27ac haQTLs in prefrontal cortex. That result is
preprint-level, statistical, and directly contradicted in its gene
assignment by the only functional dissection of the region published to
date: CRISPR-Cas9 editing of rs2535629, which lies inside an ITIH3 intron,
changed expression of the distal genes GLT8D1, SFMBT1 and NEK4 rather than
of ITIH3, and the authors attributed schizophrenia risk to SFMBT1. So an
intronic ITIH3 variant is a bona fide chromatin-regulatory variant at this
locus while ITIH3 is not its target - which is precisely the confound a
colocalization-only analysis cannot resolve. Resolving this matters because
the two candidate effectors imply different biology: ITIH3/ITIH4 are
hyaluronan-binding extracellular-matrix cross-linkers (the theme already
represented by the bipolar NCAN locus), whereas SFMBT1 is a polycomb-family
chromatin regulator of dendritic spine density. The clinical stake is real
rather than hypothetical: OCD comorbidity in bipolar disorder is associated
with a measurably worse course, so a shared causal mechanism would be a
tractable target.
evidence:
- reference: PPR:PPR1294131
reference_title: "Cross-trait genomic analyses implicate the ITIH3 and ITIH4 locus in the shared genetic architecture of bipolar disorder and obsessive-compulsive disorder"
supports: SUPPORT
evidence_source: COMPUTATIONAL
snippet: "where multiple SNPs (e.g., rs3774364) colocalized with H3K27ac histone acetylation QTLs in the prefrontal cortex (PP_H4 > 0.5)"
explanation: >-
States the preprint's specific mechanistic proposal - prefrontal-cortex
H3K27ac histone-acetylation QTL colocalization at the prioritized locus -
which is one side of this gap.
- reference: PMID:34978167
reference_title: "Regulatory Variant rs2535629 in ITIH3 Intron Confers Schizophrenia Risk By Regulating CTCF Binding and SFMBT1 Expression."
supports: SUPPORT
evidence_source: IN_VITRO
snippet: "Interestingly, differential expression analysis of GLT8D1, SFMBT1, and NEK4 suggested that rs2535629 may confer schizophrenia risk by regulating SFMBT1 expression."
explanation: >-
The one functional dissection of a 3p21.1 psychiatric risk variant assigns
the effect of an ITIH3-intronic SNP to distal genes, concluding SFMBT1 is
the mediator. PARTIAL because the disorder studied was schizophrenia, not
bipolar disorder or OCD; it constrains the gene assignment at this locus
rather than settling it for these two disorders.
- reference: PMID:40855518
reference_title: "Clinical impact of obsessive-compulsive disorder comorbidity in bipolar disorder: a systematic review and meta-analysis."
supports: SUPPORT
evidence_source: HUMAN_CLINICAL
snippet: "BD-OCD presents a more severe and complex clinical profile, requiring specialized assessment and integrated treatment approaches."
explanation: >-
Peer-reviewed meta-analysis of 22 studies establishing that the
bipolar-OCD comorbidity carries a distinct and more severe clinical
profile, which is why a shared causal locus is worth resolving.
classifications:
harrisons_chapter:
- classification_value: NEUROLOGIC
datasets:
- accession: geo:GSE328018
title: Choroid plexus inflammation in bipolar disorder
description: Postmortem human choroid plexus tissue from individuals with bipolar disorder and matched controls was analyzed using cytokine protein arrays and bulk RNA sequencing to characterize immune and barrier-related alterations. The study identifies increased pro-inflammatory signaling and reduced trophic/supportive pathways, implicating the choroid plexus as a neuroimmune interface in bipolar disorder.
organism:
preferred_term: human
term:
id: NCBITaxon:9606
label: Homo sapiens
data_type: BULK_RNA_SEQ
sample_count: 23
publication: PMID:41980683
notes: Identified by GEO DataSets index search for Bipolar Disorder (scripts/discover_datasets.py); accession and metadata verified against NCBI E-utilities on 2026-07-31. Title, sample count, and organism are GEO's own values.
- accession: geo:GSE306819
title: Single-nucleus RNA sequencing in the post-mortem thamaus and cortex in bipolar disorder
description: We performed high-throughput single-nucleus RNA sequencing (snRNA-seq) using the 10x Genomics Chromium platform on archived postmortem thalamus and frontal cortex (BA10) tissues from patients with bipolar disorder and control subjects to identify cell type–specific differentially expressed genes and compositional changes.
organism:
preferred_term: human
term:
id: NCBITaxon:9606
label: Homo sapiens
data_type: SINGLE_CELL_RNA_SEQ
sample_count: 82
publication: PMID:41501055
notes: Identified by GEO DataSets index search for Bipolar Disorder (scripts/discover_datasets.py); accession and metadata verified against NCBI E-utilities on 2026-07-31. Title, sample count, and organism are GEO's own values.
- accession: geo:GSE241671
title: Differential effects of lithium on metabolic dysfunction in astrocytes derived from bipolar disorder patients
description: Metabolic alterations have been observed in the brains of patients with bipolar disorder (BD), a neuropsychiatric disorder characterized by biphasic mood episodes of mania and depression. However, the specific contributions of glial cells to these metabolic changes in BD patients remain largely unknown and have not been extensively studied. Here, we investigate the metabolic characteristics of induced astrocytes (iAstrocytes) derived from induced pluripotent stem cells of BD patients and their responses to lithium treatment. The gene expression profiles of iAstrocytes from BD patients (BD iAstrocytes) indicate dysregulation of metabolic processes in BD iAstrocytes.
organism:
preferred_term: human
term:
id: NCBITaxon:9606
label: Homo sapiens
data_type: BULK_RNA_SEQ
sample_count: 30
publication: PMID:40847005
notes: Identified by GEO DataSets index search for Bipolar Disorder (scripts/discover_datasets.py); accession and metadata verified against NCBI E-utilities on 2026-07-31. Title, sample count, and organism are GEO's own values.
- accession: ega:EGAS00000000001
title: WTCCC case-control study for Bipolar Disorder
description: WTCCC genome-wide case-control association study for Bipolar disorder (BD) using the 1958 British Birth Cohort and the UK National Blood Service collections as controls.
organism:
preferred_term: human
term:
id: NCBITaxon:9606
label: Homo sapiens
notes: 'European Genome-phenome Archive study, matched because the disease is named in the study''s own title ("Bipolar Disorder"); description-level mentions were not accepted. EGA study_type: Other. Controlled access -- data require a Data Access Agreement. EGA metadata retrieved 2026-08-01.'
- accession: ega:EGAS00000000002
title: WTCCC case-control study for Bipolar Disorder - Combined Controls
description: WTCCC genome-wide case-control association study for Bipolar Disorder (BD) using six disease collections together with the 1958 British Birth Cohort and the UK National Blood Service collections as controls.
organism:
preferred_term: human
term:
id: NCBITaxon:9606
label: Homo sapiens
notes: 'European Genome-phenome Archive study, matched because the disease is named in the study''s own title ("Bipolar Disorder"); description-level mentions were not accepted. EGA study_type: Other. Controlled access -- data require a Data Access Agreement. EGA metadata retrieved 2026-08-01.'
- accession: ega:EGAS00001003085
title: Exome sequencing in bipolar disorder families
description: Bipolar disorder (BD) is a major psychiatric disorder affecting around 1% of the global population. BD is characterized by recurrent manic and depressive episodes, and has an estimated heritability of around 70% Research has identified the first BD susceptibility genes. However, the underlying pathways and regulatory networks remain largely unknown. Since research has shown that the cumulative impact of common alleles with small effect appears to explain only around 25-38% of the phenotypic variance for BD, rare variants of high penetrance may also contribute to BD risk.
organism:
preferred_term: human
term:
id: NCBITaxon:9606
label: Homo sapiens
notes: 'European Genome-phenome Archive study, matched because the disease is named in the study''s own title ("Bipolar Disorder"); description-level mentions were not accepted. EGA study_type: Other. Controlled access -- data require a Data Access Agreement. EGA metadata retrieved 2026-08-01.'
- accession: metabolomics_workbench:ST001946
title: Bipolar disorder metabolomics analysis using FiehnLib and GMD for curation
notes: Located via OmicsDI, which aggregates across omics repositories; this record comes from metabolomics_workbench. Only repositories with no other discovery route in this project and with a working accession resolver are curated from OmicsDI -- GEO, ArrayExpress, PRIDE, MetaboLights and EGA hits are excluded as duplicates of dedicated passes. Matched because the disease is named in the dataset's own title ("Bipolar Disorder"). Retrieved 2026-08-02.
- accession: massive:MSV000086425
title: Dysregulation of the complement and coagulation cascade in treated schizophrenia and bipolar disorder patients
description: A better understanding of the proteomic profile after bipolar disorder (BD) and schizophrenia (SCZ) treatment, through monitoring its progression, may assist the development of novel therapeutic strategies with the ability to reduce or control possible side effects. In this study, proteomics analysis employing liquid chromatography coupled to mass spectrometry (LC-MS) and bioinformatic tools were applied to identify differentially expressed proteins in serum of treated BD and SCZ patients. In total, 10 BD patients, 10 SCZ patients, and 14 healthy participants were included.
notes: Located via OmicsDI, which aggregates across omics repositories; this record comes from massive. Only repositories with no other discovery route in this project and with a working accession resolver are curated from OmicsDI -- GEO, ArrayExpress, PRIDE, MetaboLights and EGA hits are excluded as duplicates of dedicated passes. Matched because the disease is named in the dataset's own title ("Bipolar Disorder"). Retrieved 2026-08-02.
- accession: dbgap:phs000866
title: Family Genomics of Bipolar Disorder
description: This study examined the segregation of variants with phenotype in pedigrees harboring bipolar disorder.
notes: Located via OmicsDI, which aggregates across omics repositories; this record comes from dbgap. Only repositories with no other discovery route in this project and with a working accession resolver are curated from OmicsDI -- GEO, ArrayExpress, PRIDE, MetaboLights and EGA hits are excluded as duplicates of dedicated passes. Matched because the disease is named in the dataset's own title ("Bipolar Disorder"). Retrieved 2026-08-02.
references:
- reference: PPR:PPR1294131
title: "Cross-trait genomic analyses implicate the ITIH3 and ITIH4 locus in the shared genetic architecture of bipolar disorder and obsessive-compulsive disorder"
- reference: PMID:34978167
title: "Regulatory Variant rs2535629 in ITIH3 Intron Confers Schizophrenia Risk By Regulating CTCF Binding and SFMBT1 Expression."
- reference: PMID:40855518
title: "Clinical impact of obsessive-compulsive disorder comorbidity in bipolar disorder: a systematic review and meta-analysis."
- reference: DOI:10.1503/jpn.230112
title: Advances in the understanding of the pathophysiology of schizophrenia and bipolar disorder through induced pluripotent stem cell models
findings: []
- reference: DOI:10.3389/fnins.2023.1228455
title: Non-canonical pathways in the pathophysiology and therapeutics of bipolar disorder
findings: []
- reference: DOI:10.3389/fpsyt.2024.1414776
title: 'The genetic association between bipolar disorder and dementia: a qualitative review'
findings: []
- reference: DOI:10.3390/biology13100787
title: 'Codes between Poles: Linking Transcriptomic Insights into the Neurobiology of Bipolar Disorder'
findings: []
- reference: DOI:10.3390/brainsci14121199
title: 'Mitochondrial Dysfunction as a Biomarker of Illness State in Bipolar Disorder: A Critical Review'
findings: []
Deep research results are used as seeds for research; they do not undergo the same validation as the main records and may contain errors. How we use deep research.
Disease Pathophysiology Research Report
Target Disease - Disease Name: Bipolar Disorder - MONDO ID: MONDO_0004985 - Category: Complex
Pathophysiology description (current understanding, 2023–2024 priority) Bipolar disorder (BD) is a polygenic, neurodevelopmentally rooted disorder characterized by recurrent episodes of mania/hypomania and depression with persistent cognitive and functional burden. Convergent molecular evidence implicates dysregulation across: (i) calcium/ion channel signaling and synaptic machinery; (ii) glutamate–GABA and monoaminergic neurotransmission; (iii) immune–inflammatory cascades; (iv) mitochondrial bioenergetics and redox homeostasis; (v) circadian clock mechanisms and neurotrophic/synaptic plasticity pathways; and (vi) oligodendroglial/myelin processes impacting fronto-limbic circuits. Notably, multiple recent syntheses underscore cross-talk between these domains, providing a mechanistic basis for mood state switching, neuroprogression, and cognitive impairment (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5).
Directly quoted evidence highlights mitochondrial and inflammatory abnormalities and their interplay with synaptic/circadian pathways in BD: “a larger number of smaller-sized mitochondria have been found,” with “downregulation of fusion proteins (Mfn-2, Opa-1) and upregulation of fission (Fis-1), impaired mitophagy, higher cell-free mtDNA,” and a pro-inflammatory milieu (IL-1β, IL-6, TNF-α), alongside “greater activation [of] GSK-3α/β” and “upregulated” PI3K/Akt–mTOR in mania (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). Transcriptomic integration studies emphasize synaptic vesicle release/SNARE complex perturbation, regional specificity (DLPFC, nucleus accumbens, anterior cingulate), and links to insulin/energy pathways (Sep 2024; https://doi.org/10.3390/biology13100787) (garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 16-17, garcia2024codesbetweenpoles pages 17-19). iPSC-based reviews report “disturbances in neurodevelopmental processes, imbalance in glutamatergic–GABAergic transmission and neuromorphological alterations” (Mar 2024; https://doi.org/10.1503/jpn.230112) (perrottelli2024advancesinthe pages 1-2). Clinically, BD associates with increased dementia risk and overlapping risk genes with neurodegeneration, including CACNA1C and SCN2A; meta-analytic estimates show approximately 2–3-fold higher dementia odds in BD (published Aug 20, 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (hirakawa2024thegeneticassociation pages 1-2).
1) Core Pathophysiology - Primary mechanisms - Calcium/ion channel and synaptic signaling: GWAS convergently implicate CACNA1C (L-type Ca2+ channel) and other synaptic/ion channels (e.g., SCN2A) in BD liability; transcriptomics indicate dysregulation of SNARE-mediated synaptic vesicle exocytosis and kinase/phosphoinositide pathways in prefrontal systems (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455; Sep 2024; https://doi.org/10.3390/biology13100787) (machadovieira2023noncanonicalpathwaysin pages 3-5, garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 16-17). - Neurotransmission: Evidence supports altered glutamate–GABA balance and monoaminergic systems; iPSC models show GABA–glutamate imbalance and neuromorphological changes; DRD2- and glutamate-related transcriptomic signals are regionally enriched (Mar 2024; https://doi.org/10.1503/jpn.230112; Sep 2024; https://doi.org/10.3390/biology13100787) (perrottelli2024advancesinthe pages 1-2, garcia2024codesbetweenpoles pages 16-17, garcia2024codesbetweenpoles pages 17-19). - Neuroinflammation: Pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) and inflammasome signaling (e.g., NLRP3) are repeatedly implicated; anti-inflammatory trials yield mixed results, underscoring heterogeneity and the need for biomarker stratification (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455; Nov 2024; https://doi.org/10.3390/brainsci14121199) (machadovieira2023noncanonicalpathwaysin pages 3-5, gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Mitochondria, bioenergetics, oxidative stress: Structural/functional mitochondrial abnormalities, impaired mitophagy, and oxidative stress markers are repeatedly observed; PI3K/Akt–mTOR and GSK3 signaling show state-related modulation (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Circadian dysregulation: Clock gene variation and interplay with mitochondrial biogenesis/oxidative stress are noted; circadian mechanisms modulate neuronal survival and treatment response in cellular models (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Oligodendrocyte/myelination: Clinical/imaging syntheses point to white/gray matter injury and myelin-related changes as part of neuroprogression, linked to cognitive deficits (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5).
Calcium signaling and ion channel homeostasis (CACNA1C/SCN2A); Wnt/β-catenin, GSK3, PKC; PI3K/Akt–mTOR; inflammatory cytokine cascades and NLRP3; mitophagy/mitochondrial dynamics (Mfn-2/Opa1/Fis1, LC3); synaptic vesicle exocytosis/SNARE complex; insulin/IGF signaling in cortex (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455; Nov 2024; https://doi.org/10.3390/brainsci14121199; Sep 2024; https://doi.org/10.3390/biology13100787) (machadovieira2023noncanonicalpathwaysin pages 3-5, gimenezpalomo2024mitochondrialdysfunctionas pages 8-10, garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 16-17, garcia2024codesbetweenpoles pages 17-19).
Affected cellular processes
2) Key Molecular Players - Genes/Proteins (HGNC) - CACNA1C (L-type CaV1.2 alpha-1 subunit): BD risk and neuropsychiatric pleiotropy; overlaps with dementia risk; calcium signaling–synaptic plasticity (Aug 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (hirakawa2024thegeneticassociation pages 1-2). - SCN2A (Nav1.2): BD–dementia overlap; neuronal excitability (Aug 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (hirakawa2024thegeneticassociation pages 1-2). - ANK3 (ankyrin-G): GWAS-implicated scaffold at AIS/nodes; synaptic/circuit stability (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - GSK3B (GSK3β): Increased activation in mania; ties to Wnt/β-catenin and mood stabilizer targets (Nov 2024; https://doi.org/10.3390/brainsci14121199; Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10, machadovieira2023noncanonicalpathwaysin pages 3-5). - DRD2 (dopamine D2 receptor): Transcriptomic and regional associations (nucleus accumbens); monoaminergic dysregulation (Sep 2024; https://doi.org/10.3390/biology13100787) (garcia2024codesbetweenpoles pages 12-13). - BDNF (brain-derived neurotrophic factor): Neuroplasticity/synaptic remodeling implicated by systems reviews; interacts with dopaminergic and glutamatergic mechanisms (Sep 2024; https://doi.org/10.3390/biology13100787; Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (garcia2024codesbetweenpoles pages 17-19, machadovieira2023noncanonicalpathwaysin pages 3-5). - Mitophagy/mitochondrial dynamics proteins: OPA1, MFN2, FIS1; LC3; apoptosis regulators (BCL2↓, FAS/BAK/APAF1↑) (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10).
Dopamine (CHEBI:18243) and serotonin/5-HT (CHEBI:28790): DRD2, serotonergic receptors (regional/network effects) (Sep 2024; https://doi.org/10.3390/biology13100787) (garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 16-17).
Cell types (CL)
Oligodendrocyte (CL:0000128): myelin integrity; white matter connectivity (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5).
Anatomical locations (UBERON)
3) Biological Processes (GO) disrupted - Synaptic vesicle exocytosis and regulation of neurotransmitter secretion; long-term synaptic plasticity (GO:0016079, GO:0099177, GO:0048167) supported by SNARE-complex and neurotrophin/mTOR signaling changes (Sep 2024; https://doi.org/10.3390/biology13100787; Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (garcia2024codesbetweenpoles pages 12-13, machadovieira2023noncanonicalpathwaysin pages 3-5). - Regulation of membrane potential and calcium ion transmembrane transport (GO:0042391, GO:0070588) via CACNA1C/SCN2A dysregulation (Aug 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (hirakawa2024thegeneticassociation pages 1-2). - Inflammatory response and cytokine-mediated signaling (GO:0006954; GO:0019221) including NLRP3–IL-1β/IL-18 axis (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5). - Mitochondrial organization, mitophagy, oxidative phosphorylation, and response to oxidative stress (GO:0007005; GO:0000422; GO:0006119; GO:0006979) (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Circadian rhythm and clock gene transcription feedback loops (GO:0007623; GO:0006342 related to chromatin/cycle regulation) linking to survival pathways (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Myelination and axon ensheathment (GO:0042552; GO:0008366) with white matter connectivity consequences (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5).
4) Cellular Components (GO) - Synapse, presynaptic active zone, postsynaptic density (GO:0045202; GO:0048786; GO:0014069) (Sep 2024; https://doi.org/10.3390/biology13100787) (garcia2024codesbetweenpoles pages 12-13). - Mitochondrion, mitochondrial inner membrane, mitophagosome (GO:0005739; GO:0005743; GO:0000422) (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Node of Ranvier/axon initial segment (ANK3 scaffolding), myelin sheath (GO:0030674; GO:0043209) (Nov 2024; https://doi.org/10.3390/brainsci14121199; Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10, machadovieira2023noncanonicalpathwaysin pages 3-5).
5) Disease Progression - Sequence of events (hypothesis-driven): 1) Genetic predisposition (polygenic risk in calcium/ion channels and synaptic genes) and developmental perturbations alter early neural circuit maturation (Aug 2024; https://doi.org/10.3389/fpsyt.2024.1414776; Mar 2024; https://doi.org/10.1503/jpn.230112) (hirakawa2024thegeneticassociation pages 1-2, perrottelli2024advancesinthe pages 1-2). 2) Vulnerable circuits (fronto-limbic–striatal and cerebellar contributions) exhibit E/I imbalance and synaptic plasticity deficits under stressors (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455; Sep 2024; https://doi.org/10.3390/biology13100787) (machadovieira2023noncanonicalpathwaysin pages 3-5, garcia2024codesbetweenpoles pages 16-17). 3) Bioenergetic strain and oxidative stress with impaired mitophagy lead to “smaller-sized mitochondria,” apoptotic signaling, and inflammatory amplification (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). 4) Myelin/white-matter injury and synaptic dysfunction contribute to neuroprogression and cognitive decline, with epidemiologic links to later-life dementia risk (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455; Aug 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (machadovieira2023noncanonicalpathwaysin pages 3-5, hirakawa2024thegeneticassociation pages 1-2).
6) Phenotypic manifestations and mechanistic links - Core clinical phenotypes (HP terms): mania (HP:0000718), depression (HP:0000716), sleep/circadian disturbance (HP:0002360), cognitive impairment (HP:0100543). Mechanistically, E/I imbalance and synaptic plasticity failure in DLPFC–ACC–limbic networks relate to affective lability and executive/memory deficits. The increased dementia risk in BD (OR ~2.36–2.96) supports neuroprogressive processes bridging mitochondrial, inflammatory, and synaptic/myelin pathology (published Aug 20, 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (hirakawa2024thegeneticassociation pages 1-2), consistent with white/gray matter involvement and inflammatory–kynurenine axes (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5).
Recent developments and latest research (2023–2024 priority) - Non-canonical pathways integrating immune–mitochondrial–synaptic axes, with mixed but instructive anti-inflammatory RCT signals; emphasis on NLRP3, lipid–eicosanoid signaling, and microbiome–immune interventions (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5). - Mitochondrial dynamics/mitophagy and mood-state signaling (GSK3, PI3K/Akt–mTOR) refined as episode-linked biomarkers; circadian–mitochondrial cross-talk proposed (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Transcriptomic regionalization: DLPFC (synaptic/insulin pathways), ACC and nAcc (glutamate/dopamine genes) with SNARE complex involvement; lithium-related hippocampal plasticity (Sep 2024; https://doi.org/10.3390/biology13100787) (garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 16-17, garcia2024codesbetweenpoles pages 17-19). - iPSC models extend causal inference on neurodevelopmental deficits and E/I imbalance in BD and schizophrenia spectra (Mar 2024; https://doi.org/10.1503/jpn.230112) (perrottelli2024advancesinthe pages 1-2). - Genetic cross-disorder overlap with dementia, highlighting CACNA1C and SCN2A in BD neuroprogression and cognitive risk trajectories (Aug 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (hirakawa2024thegeneticassociation pages 1-2).
Current applications and real-world implementations - Mood stabilizers (e.g., lithium) and atypical antipsychotics act partly via neuroplasticity/PKC–GSK3 and synaptic signaling; lithium-associated hippocampal volume maintenance aligns with neurotrophic hypotheses (Sep 2024; https://doi.org/10.3390/biology13100787; Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (garcia2024codesbetweenpoles pages 17-19, machadovieira2023noncanonicalpathwaysin pages 3-5). - Anti-inflammatory strategies (minocycline, infliximab) show mixed efficacy overall but signal in biomarker-defined subgroups (e.g., childhood maltreatment), motivating stratified trials (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5). - Translational disease modeling with iPSCs/organoids enables patient-specific interrogation of synaptic, mitochondrial, and developmental phenotypes for target discovery (Mar 2024; https://doi.org/10.1503/jpn.230112) (perrottelli2024advancesinthe pages 1-2).
Expert opinions and analysis from authoritative sources - Frontiers in Neuroscience (Aug 2023) authors argue BD is best conceptualized as a systems disorder with “immune-inflammatory mechanisms,” mitochondrial threshold effects (bioenergetics/ROS/Ca2+), and synaptic/myelin consequences, requiring multimodal treatment development (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5). - Brain Sciences (Nov 2024) review synthesizes a mechanistic cascade from mitochondrial dynamics and impaired mitophagy to apoptosis and inflammatory amplification, linking to episode-specific kinase signaling (GSK3, mTOR) and circadian–mitochondrial coupling (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - J Psychiatry & Neuroscience (Mar 2024) highlights iPSC evidence for glutamate–GABA imbalance and neurodevelopmental disruptions as convergent features across BD and schizophrenia spectrum (Mar 2024; https://doi.org/10.1503/jpn.230112) (perrottelli2024advancesinthe pages 1-2).
Relevant statistics and data from recent studies - Dementia risk: Two meta-analytic estimates cited in an Aug 2024 review reported increased dementia odds in BD of OR 2.36 (95% CI 1.36–4.09) and OR 2.96 (95% CI 2.09–4.18) (Aug 20, 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (hirakawa2024thegeneticassociation pages 1-2). - Mitochondrial morphology/dynamics: “larger number of smaller-sized mitochondria” with fusion (Mfn-2/Opa-1) down and fission (Fis-1) up; increased cell-free mtDNA; mitophagy/apoptosis markers altered (Nov 2024; https://doi.org/10.3390/brainsci14121199) (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Anti-inflammatory RCTs: minocycline positive in some, null in factorial designs; infliximab ineffective overall but signals in maltreatment subgroup; meta-analyses suggest insufficient evidence for routine NSAIDs/omega-3/pioglitazone, limited single-study support for NAC (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (machadovieira2023noncanonicalpathwaysin pages 3-5).
Ontology-anchored annotations (selected examples) - Genes/Proteins (HGNC): CACNA1C; SCN2A; ANK3; GSK3B; DRD2; BDNF (hirakawa2024thegeneticassociation pages 1-2, gimenezpalomo2024mitochondrialdysfunctionas pages 8-10, machadovieira2023noncanonicalpathwaysin pages 3-5, garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 17-19). - Biological Processes (GO): synaptic vesicle exocytosis; regulation of calcium transport; cytokine-mediated signaling; mitophagy; oxidative phosphorylation; circadian rhythm; myelination (garcia2024codesbetweenpoles pages 12-13, machadovieira2023noncanonicalpathwaysin pages 3-5, gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Cellular Components (GO): synapse/PSD; mitochondrion/inner membrane; mitophagosome; myelin sheath; node of Ranvier/AIS (garcia2024codesbetweenpoles pages 12-13, gimenezpalomo2024mitochondrialdysfunctionas pages 8-10, machadovieira2023noncanonicalpathwaysin pages 3-5). - Cell types (CL): neuron; microglia; astrocyte; oligodendrocyte (perrottelli2024advancesinthe pages 1-2, machadovieira2023noncanonicalpathwaysin pages 3-5). - Anatomical Locations (UBERON): DLPFC; ACC; nucleus accumbens; hippocampus (garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 16-17, garcia2024codesbetweenpoles pages 17-19). - Chemical entities (CHEBI): glutamate; GABA; dopamine; serotonin (perrottelli2024advancesinthe pages 1-2, garcia2024codesbetweenpoles pages 12-13). - Phenotypes (HP): mania; depressive episode; cognitive impairment; sleep disturbance (hirakawa2024thegeneticassociation pages 1-2, machadovieira2023noncanonicalpathwaysin pages 3-5).
Evidence Items (selected, with URLs and dates) - Machado-Vieira et al. “Non-canonical pathways in the pathophysiology and therapeutics of bipolar disorder.” Frontiers in Neuroscience. Published Aug 2023. URL: https://doi.org/10.3389/fnins.2023.1228455 (machadovieira2023noncanonicalpathwaysin pages 3-5). - Giménez-Palomo et al. “Mitochondrial Dysfunction as a Biomarker of Illness State in Bipolar Disorder: A Critical Review.” Brain Sciences. Nov 2024. URL: https://doi.org/10.3390/brainsci14121199 (gimenezpalomo2024mitochondrialdysfunctionas pages 8-10). - Perrottelli et al. “Advances in the understanding of the pathophysiology of schizophrenia and bipolar disorder through iPSC models.” J Psychiatry & Neuroscience. Mar 2024. URL: https://doi.org/10.1503/jpn.230112 (perrottelli2024advancesinthe pages 1-2). - Garcia & Tayo. “Codes between Poles: Transcriptomic Insights…” Biology. Sep 2024. URL: https://doi.org/10.3390/biology13100787 (garcia2024codesbetweenpoles pages 16-17, garcia2024codesbetweenpoles pages 12-13, garcia2024codesbetweenpoles pages 17-19). - Hirakawa & Terao. “The genetic association between bipolar disorder and dementia.” Frontiers in Psychiatry. Aug 20, 2024. URL: https://doi.org/10.3389/fpsyt.2024.1414776 (hirakawa2024thegeneticassociation pages 1-2).
Notes and limitations - Many mechanistic domains show heterogeneity across studies. Anti-inflammatory interventions require biomarker-guided stratification; mitochondrial/synaptic markers vary by episode/state. iPSC studies, while highly informative, require standardization and deeper phenotypic anchoring (Mar 2024; https://doi.org/10.1503/jpn.230112; Aug 2023; https://doi.org/10.3389/fnins.2023.1228455) (perrottelli2024advancesinthe pages 1-2, machadovieira2023noncanonicalpathwaysin pages 3-5).
Summary BD pathophysiology reflects convergent dysregulation of calcium/ion channel–synaptic systems, glutamate–GABA and monoamines, immune–inflammatory cascades, mitochondrial/oxidative pathways, and circadian and neurotrophic plasticity, with oligodendroglial/myelin changes impairing fronto-limbic networks. State-associated kinase signaling (GSK3, PI3K/Akt–mTOR), impaired mitophagy/oxidative stress, and cytokine activation provide plausible mechanisms for mood switches and neuroprogression with measurable cognitive risk. This multi-axis model is supported by 2023–2024 evidence from genetics, transcriptomics, mitochondria-focused reviews, and iPSC studies and motivates biomarker-stratified, circuit- and pathway-targeted therapeutics (Aug 2023; https://doi.org/10.3389/fnins.2023.1228455; Nov 2024; https://doi.org/10.3390/brainsci14121199; Mar 2024; https://doi.org/10.1503/jpn.230112; Aug 2024; https://doi.org/10.3389/fpsyt.2024.1414776) (machadovieira2023noncanonicalpathwaysin pages 3-5, gimenezpalomo2024mitochondrialdysfunctionas pages 8-10, perrottelli2024advancesinthe pages 1-2, hirakawa2024thegeneticassociation pages 1-2).
References
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