Loss of Proteostasis Module

Aging Module loss_of_proteostasis 16 disorders Pathograph 10

A conserved mechanism module for the hallmark of aging (Lopez-Otin et al.) termed loss of proteostasis: the age-associated decline of the protein homeostasis (proteostasis) network and the resulting accumulation of misfolded and aggregated proteins. In healthy cells a complex proteostasis network - molecular chaperones, the ubiquitin-proteasome system, and autophagy, with their regulators - coordinates protein synthesis, folding, conformational maintenance, and degradation. Chronic external and endogenous stresses erode this network's capacity during aging; as folding and clearance fail, non-native proteins misfold and aggregate. The aggregates (often beta-sheet-rich amyloid) accumulate, disproportionately burdening postmitotic cells such as neurons, driving proteotoxic dysfunction and the age-associated proteinopathies. This is the conserved core shared by the major neurodegenerative diseases. Individual disorder entries declare conformance via conforms_to on their pathophysiology nodes, substituting the disease-specific aggregating protein (e.g. amyloid-beta and tau in Alzheimer disease, alpha-synuclein in Parkinson disease, polyglutamine huntingtin in Huntington disease, TDP-43/SOD1 in ALS) while preserving the conserved network-decline -> misfolding -> aggregation -> proteotoxicity chain.

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Pathophysiology Nodes

4 shared nodes are defined in this module.

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Cell Types

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Biological Processes

Notes

This is a mechanism module, not a specific disease. Disorder entries reference individual nodes via conforms_to (e.g., "loss_of_proteostasis#Misfolded-Protein Aggregation"). Conforming nodes in disorder files should include the corresponding biological processes and causal edges, specialized to their disease context, substituting the disease-specific aggregating protein and vulnerable cell type. The module is intentionally kept lean: it captures the conserved proteostasis-network decline and its convergence on protein aggregation and proteotoxicity, but deliberately does NOT embed disease-specific aggregate species, seeding/prion spread models, or contested cell-non-autonomous theories, which belong on the relevant disorder entry. Complements deregulated_nutrient_sensing (mTORC1 suppression of autophagy is one contributor to failing clearance) and cellular_senescence. It is distinct from tsr_o_glycosylation_quality_control: that module recognizes correctly folded TSR domains and stabilizes their secretion, rather than modeling declining clearance capacity and accumulation of misfolded proteins. Key conformance target: "loss_of_proteostasis#Misfolded-Protein Aggregation". A naked mole-rat (Heterocephalus glaber) comparative negative model is attached under animal_models, and is the hallmark where the comparative evidence is longitudinal rather than only cross-species: the proteostasis measures that decline in aging mice do not change over two decades of naked mole-rat life. It is a species comparison, not a disease model, and conforming disorder entries do NOT inherit those links.

Discussions and Knowledge Gaps

Can proteostatic capacity be measured in humans, as opposed to measuring the specific proteins that have already aggregated?

KNOWLEDGE GAP OPEN knowledge_gap_no_general_proteostasis_capacity_biomarker

Attached to: Proteostasis Network Decline Loss of Proteostasis

The one marker curated in this module attaches to the third node in the chain, Misfolded-Protein Aggregation, and to one aggregating protein within it. The two upstream nodes, which are what the hallmark actually names, have no human biomarker at all. Chaperone capacity, ubiquitin-proteasome throughput and the heat-shock response are measurable in cells and in model organisms but not from an accessible human sample, so what reaches the clinic is the failure's product rather than the failing capacity. The practical consequence is that proteostasis can currently only be assessed after aggregation has occurred, which is the wrong end for prevention and for any trial wanting an early pharmacodynamic readout. A second consequence for this KB: markers that look like proteostasis markers are usually disease-specific aggregation markers, and importing more of them would make the module look better covered than it is while leaving the hallmark itself unmeasured.

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Animal Models

Naked mole-rat (Heterocephalus glaber) comparative longevity model

Comparative negative model for this module, and the hallmark where the naked mole-rat evidence is longitudinal rather than only cross-species. Over two decades of life the proteostasis measures that decline in aging mice - cysteine oxidation, protein ubiquitination, susceptibility to unfolding - do not change in the naked mole-rat, while proteasome activity and translational fidelity are higher than in the mouse. The model is curated here to mark the step this species holds constant, not as a model of a disease.

Species

Naked mole-rat

Genotype

Wild type

Publication

PMID:19223593

Pathograph links

Proteostasis Network Decline fails to recapitulate fidelity: high The initiating lesion of this module - erosion of chaperone, ubiquitin-proteasome and autophagy capacity with age - is not observed. Young naked mole-rats already show less urea-induced unfolding, less ubiquitination and higher proteasome activity than young mice, and none of these measures shifts significantly between 2 and more than 24 years of age.

Limitations: The longitudinal comparison is liver-focused and rests on one laboratory's colony, with mice sampled at 6 and 28 months as the physiologically age-matched comparator; other tissues, and the chaperone arm of the network, are covered only by the cross-species survey. That survey is a correlation across eight rodent species and its own authors note the confound: every subterranean species sampled had high proteasome activity and autophagy, so the association may track burrowing ecology rather than longevity. None of this shows that maintained proteostasis causes the long lifespan.

Readouts

Proteasome activity

Direction: INCREASED

Interpretation: Higher degradative capacity than the short-lived comparator, in the direction opposite to this node.

Evidence: 1

Age-related change in cysteine oxidation and ubiquitination

Reversible and irreversible cysteine oxidation states, ubiquitination and proteasome activity compared between naked mole-rats aged 2 and more than 24 years.

Direction: UNCHANGED

Interpretation: A flat trajectory over two decades is the direct negative readout for this node; the mouse comparator rises over the same physiological span.

Evidence: 1

Evidence: 3

Loss of Proteostasis fails to recapitulate fidelity: low The central effector state is held off partly upstream of folding and clearance, at protein synthesis: naked mole-rat fibroblasts translate with significantly higher fidelity than mouse fibroblasts at comparable translation rates, so fewer aberrant proteins enter the proteome that this node describes the cell as failing to keep correctly folded.

Limitations: Fidelity was measured in cultured fibroblasts with misincorporation reporters, not in tissue and not across age. The proposed structural explanation - a naked-mole-rat-specific 28S ribosomal RNA cleavage - is explicitly speculative in the source, which states it could not be directly tested, and no causal link from fidelity to lifespan was established. A lower rate of aberrant protein production is an input to proteostatic load, not a demonstration that proteostatic control itself is preserved.

Readouts

Translational fidelity

Direction: INCREASED

Interpretation: Fewer mistranslated proteins made per unit of synthesis lowers the load that would otherwise drive this node.

Evidence: 1

Aging turquoise killifish proteome (Nothobranchius furzeri) Naturally short-lived vertebrate aging model

The killifish is the workhorse vertebrate for this module because a full lifespan of proteostasis decline fits inside a few months, allowing paired transcriptome, translatome, proteome, and aggregome measurement in the same animals. Three studies together trace the module's chain in this model: proteasome activity falls early and is sufficient to induce aging proteomic signatures; ribosome stalling and altered translation elongation deplete basic-amino-acid-rich proteins; and protein aggregates accumulate in a strikingly tissue-specific pattern that co-sequesters the quality-control machinery itself.

Species

Turquoise killifish (Nothobranchius furzeri)

Genotype

Wild type

Background

Laboratory strains GRZ and MZM assayed across the natural lifespan; brain is the primary tissue, with a seven-tissue aggregation survey and a segmental progeria arm in the multi-tissue study.

Publication

PMID:32558274

Pathograph links

Proteostasis Network Decline recapitulates fidelity: moderate Both arms of the proteostasis network decline measurably with age in this model. Degradative capacity falls early, with reduced proteasome activity shown to be sufficient to induce the proteomic signature of aging; on the synthesis side, aging causes ribosome stalling and aberrant translation pausing that changes protein abundance independently of transcription.

Limitations: Most measurements are brain-focused and correlative across age groups rather than longitudinal within individuals. The proteasome manipulation establishes sufficiency for the proteomic signature, not for organismal aging. Teleost brain retains substantial adult neurogenesis, so the postmitotic burden argument transfers to human neurons only in part.

Readouts

Proteasome activity in aging brain

Proteasome activity measured across age groups in killifish brain, with a pharmacological reduction arm testing sufficiency in vivo.

Direction: DECREASED

Interpretation: An early, causally sufficient decline in degradative capacity is the clearest direct evidence for the network-decline node in a vertebrate.

Evidence: 1

Ribosome stalling and translation pausing in aging brain

Ribosome profiling of young versus old killifish brain, read alongside matched transcriptome and proteome.

Direction: INCREASED

Interpretation: Elongation defects place part of the network decline on the synthesis side, upstream of misfolding, rather than solely on clearance.

Evidence: 1

Protein abundance uncoupled from transcript abundance

Correlation between protein and mRNA levels across the killifish lifespan.

Direction: DECREASED

Interpretation: A falling protein-mRNA correlation is the quantitative signature that post-transcriptional handling, not transcription, is what fails with age.

Evidence: 1

Misfolded-Protein Aggregation recapitulates fidelity: moderate Aggregates accumulate during normal aging in this model and have been profiled across seven tissues. Aggregation is tissue specific rather than a uniform proteome-wide drift, co-sequesters quality-control machinery, and preferentially involves wild-type versions of proteins whose mutant forms cause human disease.

Limitations: Aggregate identity is defined biochemically by insolubility rather than by disease-specific conformer, so these are not the seeded, strain-specific aggregates of a human proteinopathy. The tissue-specificity findings rest partly on machine-learning inference and yeast cross-validation. Whether aggregate burden is causal for the functional decline it accompanies is not established here.

Readouts

Tissue-specific aggregate burden across seven tissues

Systematic proteomic profiling of insoluble aggregates in seven killifish tissues across age, with a segmental progeria comparison arm.

Direction: INCREASED

Interpretation: Aggregation rises with age but partitions by tissue in a way not explained by expression level, which refines the module's node from a global to a tissue-conditioned claim.

Evidence: 1

Co-aggregation of protein quality control machinery

Representation of chaperone and degradation-machinery components within the aggregated fraction of aged tissues.

Direction: INCREASED

Interpretation: Quality-control components ending up inside aggregates closes a feed-forward loop between the module's decline node and its aggregation node.

Evidence: 1

Ribosome stoichiometry loss and ribosomal protein aggregation

Stoichiometry of ribosomal and other protein complexes in aging brain, with aggregate enrichment measured for the same components.

Direction: ALTERED

Interpretation: Complexes losing stoichiometry and turning up in aggregates connect the proteasome decline directly to aggregate formation in this model.

Evidence: 1

Proteotoxic Cell Dysfunction and Neurodegeneration partially recapitulates fidelity: low The model reaches the module's terminal node through a specific proposed route: depletion of basic-amino-acid-rich proteins, which are enriched among DNA and RNA binding proteins, links failing proteostasis to genome integrity and macromolecular biosynthesis in the aging brain.

Limitations: The unifying vulnerability is proposed by the authors rather than demonstrated causally, and is stated as potential. Killifish do develop spontaneous neurodegenerative phenotypes, but this study measures molecular depletion rather than neuronal loss or behavioral decline, so the step from protein depletion to cellular dysfunction is inferred.

Readouts

Abundance of basic-amino-acid-enriched DNA and RNA binding proteins

Proteome-wide abundance of basic-residue-rich proteins in old versus young killifish brain, traced back to translation pausing.

Direction: DECREASED

Interpretation: Depletion of this protein class is the proposed convergence point tying proteostasis failure to genome integrity and biosynthesis.

Evidence: 1

Curated as part of a tranche adding turquoise killifish models across the hallmarks-of-aging modules. This is the module with the deepest killifish evidence base: three complementary studies covering degradation, synthesis, and the aggregome, one of which includes an in vivo sufficiency test rather than correlation alone.

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Computational Models

Proctor2005 Chaperone and Heat-Shock Response Model SBML KINETIC

Kinetic model of the molecular-chaperone system and its role in ageing. Heat shock factor is held in feedback repression by bound chaperones; when stress denatures cellular proteins, those chaperones are sequestered onto misfolded substrates, freeing HSF to drive transcription of further heat-shock proteins. The model is used to examine why this induction becomes impaired with age.

Repository ↗ PMID:15610770

Pathograph links

Proteostasis Network Decline recapitulates fidelity: moderate Models the chaperone arm of the network and the age-associated attenuation of the inducible heat-shock response.

Misfolded-Protein Aggregation recapitulates fidelity: moderate Represents chaperone sequestration by misfolded substrates, the step that couples aggregate load back onto folding capacity.

The sequestration term makes the decline self-accelerating - aggregates consume the very chaperones needed to prevent them.

Proctor2007 Ubiquitin-Proteasome System Model SBML KINETIC

Stochastic SBML model of the ubiquitin-proteasome system incorporating both normal homeostasis and age-related decline, built to test whether there is a vicious cycle in which accumulating aggregates further inhibit proteolysis. Model output agrees with experimental ubiquitin and ubiquitin-conjugate data under several conditions; sensitivity analysis identifies the parameters controlling protein turnover and aggregation kinetics.

Repository ↗ PMID:17408507

Pathograph links

Proteostasis Network Decline recapitulates fidelity: moderate Models the degradative arm of the network and the observed age-related fall in proteasome activity.

Misfolded-Protein Aggregation recapitulates fidelity: moderate Tests the aggregate-inhibits-proteasome feedback that would make aggregation self-reinforcing once started.

Limitations: The published version predicts monomeric ubiquitin pool depletion under proteasome inhibition in all cases, whereas experimentally the pools were depleted in IMR-90 but not ts20 cells; the authors identify missing ubiquitin turnover as the gap.

Complements the chaperone model above - together they cover the folding and degradation arms of the same network, and the autophagy arm is modelled in disabled_macroautophagy.

UCH-L1 Inclusion Formation Model KINETIC

Stochastic model of protein aggregation driven by overexpression of the de-ubiquitinating enzyme UCH-L1, combined iteratively with experiment. Cells are strongly heterogeneous in whether they form inclusions; the model attributes this partly to stochastic effects and partly to per-cell UCH-L1 expression level, and predicts that aggregation can begin before any proteasome impairment is present, with proteasome inhibition greatly accelerating it.

PMID:20949132

Pathograph links

Misfolded-Protein Aggregation recapitulates fidelity: moderate Reproduces cell-to-cell heterogeneity in inclusion formation as a stochastic outcome rather than a deterministic threshold.

Proteotoxic Cell Dysfunction and Neurodegeneration partially recapitulates fidelity: low Models inclusion bodies containing ubiquitin-proteasome components and alpha-synuclein, the lesion characteristic of age-related neurodegeneration.

Limitations: Aggregation is driven by enzyme overexpression in cell culture; it demonstrates that inclusions form, not that they cause the neuronal dysfunction this node asserts.

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Module Collections

Hallmarks of Aging as Loss of proteostasis

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Used By Disorder Entries

Adult-Onset Proximal Spinal Muscular Atrophy, Autosomal Dominant via ER-Derived Aggregation of Misfolded VAPB → Misfolded-Protein Aggregation , Lower Motor Neuron Degeneration → Proteotoxic Cell Dysfunction and Neurodegeneration

Alexander Disease via Mutant GFAP Proteotoxicity → Misfolded-Protein Aggregation , Astrocyte Dysfunction → Proteotoxic Cell Dysfunction and Neurodegeneration

Amyotrophic Lateral Sclerosis Type 1 via Cytoplasmic SOD1 Aggregate Formation → Misfolded-Protein Aggregation , Motor Neuron Degeneration → Proteotoxic Cell Dysfunction and Neurodegeneration

Charcot-Marie-Tooth disease, axonal, type 2JJ via Chaperone-Assisted Selective Autophagy Failure → Loss of Proteostasis , Misfolded Protein Aggregation in Peripheral Neurons → Misfolded-Protein Aggregation

Congenital Myopathy 21 With Early Respiratory Failure via Z-Disc Protein and Chaperone Accumulation → Misfolded-Protein Aggregation

Distal Hereditary Motor Neuronopathy Type 2A via Intracellular Protein Aggregate Formation → Misfolded-Protein Aggregation

Distal Myopathy 7, Adult-Onset, X-Linked via Sarcoplasmic SMPX inclusion body formation → Misfolded-Protein Aggregation

Hutchinson-Gilford Progeria Syndrome via Progerin proteotoxic aggregation → Misfolded-Protein Aggregation

Inclusion body myopathy with Paget disease of bone and frontotemporal dementia via VCP-dependent proteostasis failure → Loss of Proteostasis , Ubiquitin-positive aggregate accumulation → Misfolded-Protein Aggregation

Myopathy Due To Calsequestrin And SERCA1 Protein Overload via Aberrant CASQ1 Aggregation with SERCA1 and RyR1 → Misfolded-Protein Aggregation

Neurohypophyseal Diabetes Insipidus via Endoplasmic Reticulum Retention and Fibrillar Aggregation → Misfolded-Protein Aggregation , Magnocellular Vasopressin Neuron Loss → Proteotoxic Cell Dysfunction and Neurodegeneration

Neuronal Intranuclear Inclusion Disease via Eosinophilic Ubiquitin-Positive Intranuclear Inclusion Formation → Misfolded-Protein Aggregation

Oculopharyngeal Muscular Dystrophy via PABPN1 Misfolding and Intranuclear Aggregation → Misfolded-Protein Aggregation

Spinocerebellar Ataxia 48 via Impaired Chaperone-Assisted Protein Quality Control → Loss of Proteostasis , Accumulation of Misfolded Client Proteins and Neuronal Inclusions → Misfolded-Protein Aggregation

SQSTM1-related Multisystem Proteinopathy via p62- and TDP-43-Positive Ubiquitinated Inclusions → Misfolded-Protein Aggregation

VCP-Associated Multisystem Proteinopathy via VCP Dysfunction and Proteostasis Failure → Loss of Proteostasis

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Pathograph

Use the checkboxes to hide or show graph categories. Hover nodes for evidence-backed metadata.

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Pathophysiology

Proteostasis Network Decline

trigger

The proteostasis network - molecular chaperones, the ubiquitin-proteasome system, and the autophagy-lysosome pathway, together with their regulators - normally maintains proteome integrity by coordinating folding, conformational maintenance, and degradation. Chronic external and endogenous stresses that accumulate during aging erode the capacity of this network, the initiating lesion of the hallmark.

Protein Folding GO:0006457 ↓ DECREASED Proteasome-Mediated Ubiquitin-Dependent Protein Catabolism GO:0043161 ↓ DECREASED Macroautophagy GO:0016236 ↓ DECREASED

Downstream

Loss of Proteostasis

Show evidence (2 references)

PMID:30733602 SUPPORT Other

"In healthy cells, a complex proteostasis network, comprising molecular chaperones and proteolytic machineries and their regulators, operates to ensure the maintenance of proteostasis."

Defines the proteostasis network of chaperones and proteolytic machineries whose decline is the trigger modeled here. Evidence source is OTHER because this is a review.

PMID:30733602 SUPPORT Other

"These stresses lead to the decline of proteostasis network capacity and proteome integrity."

States that accumulated stresses decline proteostasis network capacity, the initiating lesion of this module. Evidence source is OTHER because this is a review.

Loss of Proteostasis

central effector

As the network's folding and clearance capacity falls below demand, protein homeostasis is lost: the cell can no longer keep its proteome correctly folded and turned over. This age-associated collapse of proteostatic control is the central effector state and is a common feature of aging and age-related disease across tissues.

Protein Folding GO:0006457 ↓ DECREASED

Used by disorders

Charcot-Marie-Tooth disease, axonal, type 2JJ as Chaperone-Assisted Selective Autophagy Failure

Inclusion body myopathy with Paget disease of bone and frontotemporal dementia as VCP-dependent proteostasis failure

Spinocerebellar Ataxia 48 as Impaired Chaperone-Assisted Protein Quality Control

VCP-Associated Multisystem Proteinopathy as VCP Dysfunction and Proteostasis Failure

Downstream

Misfolded-Protein Aggregation

Show evidence (2 references)

PMID:25784053 SUPPORT Other

"Loss of protein homeostasis (proteostasis) is a common feature of aging and disease that is characterized by the appearance of nonnative protein aggregates in various tissues."

Establishes loss of proteostasis as a common feature of aging characterized by aggregate appearance, the central effector modeled here. Evidence source is OTHER because this is a review.

PMID:29127110 SUPPORT Other

"It is now clear that the capacity of cells to maintain proteostasis undergoes a decline during aging, rendering the organism susceptible to these pathologies."

States that proteostatic capacity declines during aging and predisposes to disease, supporting this node. Evidence source is OTHER because this is a review.

Misfolded-Protein Aggregation

effector

With folding and degradation failing, non-native proteins misfold and self-associate into aggregates - frequently beta-sheet-rich amyloid fibrils and inclusion bodies. This is the conserved central node that disease-specific aggregating proteins (amyloid-beta, tau, alpha-synuclein, polyglutamine huntingtin, TDP-43) converge upon; conforming disorder nodes substitute their particular aggregate species.

Used by disorders

Adult-Onset Proximal Spinal Muscular Atrophy, Autosomal Dominant as ER-Derived Aggregation of Misfolded VAPB

Alexander Disease as Mutant GFAP Proteotoxicity

Amyotrophic Lateral Sclerosis Type 1 as Cytoplasmic SOD1 Aggregate Formation

Charcot-Marie-Tooth disease, axonal, type 2JJ as Misfolded Protein Aggregation in Peripheral Neurons

Congenital Myopathy 21 With Early Respiratory Failure as Z-Disc Protein and Chaperone Accumulation

Distal Hereditary Motor Neuronopathy Type 2A as Intracellular Protein Aggregate Formation

Distal Myopathy 7, Adult-Onset, X-Linked as Sarcoplasmic SMPX inclusion body formation

Hutchinson-Gilford Progeria Syndrome as Progerin proteotoxic aggregation

Inclusion body myopathy with Paget disease of bone and frontotemporal dementia as Ubiquitin-positive aggregate accumulation

Myopathy Due To Calsequestrin And SERCA1 Protein Overload as Aberrant CASQ1 Aggregation with SERCA1 and RyR1

Neurohypophyseal Diabetes Insipidus as Endoplasmic Reticulum Retention and Fibrillar Aggregation

Neuronal Intranuclear Inclusion Disease as Eosinophilic Ubiquitin-Positive Intranuclear Inclusion Formation

Oculopharyngeal Muscular Dystrophy as PABPN1 Misfolding and Intranuclear Aggregation

Spinocerebellar Ataxia 48 as Accumulation of Misfolded Client Proteins and Neuronal Inclusions

SQSTM1-related Multisystem Proteinopathy as p62- and TDP-43-Positive Ubiquitinated Inclusions

Downstream

Proteotoxic Cell Dysfunction and Neurodegeneration

Show evidence (3 references)

PMID:25784053 SUPPORT Other

"Protein aggregation is routinely suppressed by the proteostasis network (PN), a collection of macromolecular machines that operate in diverse ways to maintain proteome integrity across subcellular compartments and between tissues to ensure a healthy life span."

Establishes that the proteostasis network normally suppresses aggregation, so its decline permits the aggregation modeled here. Evidence source is OTHER because this is a review.

PMID:15272267 SUPPORT Other

"The aggregates usually consist of fibers containing misfolded protein with a beta-sheet conformation, termed amyloid."

Describes the beta-sheet amyloid character of the misfolded-protein aggregates modeled in this node. Evidence source is OTHER because this is a review.

PMID:38753231 SUPPORT Model Organism

"Specifically, we uncovered that Aβ expression drives proteome-wide protein insolubility in C. elegans, even in young animals, and this insoluble proteome is highly similar to the insoluble proteome driven by normal aging, this vulnerable sub-proteome we term the core insoluble proteome (CIP)."

Unbiased proteomics showing that a single disease-specific aggregating species (amyloid-beta) drives insolubility across the whole proteome, converging on the same vulnerable sub-proteome that normal aging produces. This supports the module's claim that aggregation is a conserved node onto which disease-specific species converge, rather than a set of protein-specific events. Bridges this module to amyloidogenesis. Evidence source is MODEL_ORGANISM because the insolubility arises in live transgenic C. elegans; the proteomics is performed on lysates from those animals rather than on cultured cells.

Proteotoxic Cell Dysfunction and Neurodegeneration

consequence

Accumulating misfolded and aggregated proteins are proteotoxic, especially to long-lived postmitotic cells such as neurons that cannot dilute the burden by division. The resulting cellular dysfunction and death underlies the age-associated proteinopathies, most prominently the neurodegenerative diseases. The specific clinical phenotype is supplied by the conforming disorder.

Neuron CL:0000540

Used by disorders

Adult-Onset Proximal Spinal Muscular Atrophy, Autosomal Dominant as Lower Motor Neuron Degeneration

Alexander Disease as Astrocyte Dysfunction

Amyotrophic Lateral Sclerosis Type 1 as Motor Neuron Degeneration

Neurohypophyseal Diabetes Insipidus as Magnocellular Vasopressin Neuron Loss

Show evidence (3 references)

PMID:30733602 SUPPORT Other

"The resulting accumulation of misfolded and aggregated proteins affects, in particular, postmitotic cell types such as neurons"

States that aggregated proteins disproportionately affect postmitotic neurons, the vulnerable cell type in this consequence node. Evidence source is OTHER because this is a review.

PMID:32831297 SUPPORT Model Organism

"Knocking down genes encoding the insoluble proteins over 40% of the time results in an extension of the lifespan in C. elegans, suggesting that many of these proteins are key determinants of the aging process."

Supports the causal direction of this node rather than the correlation: removing the proteins that become insoluble with age extends lifespan in a large fraction of cases, so age-associated insolubility is a driver of decline and not only a marker of it. Note the source is a methods paper for the insoluble-proteome (insolublome) workflow, and the 40% figure is cited there as established background. Evidence source is MODEL_ORGANISM (C. elegans knockdown lifespan assays).

PMID:15272267 SUPPORT Other

"Neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS) and prion diseases are increasingly being realized to have common cellular and molecular mechanisms including protein aggregation and inclusion..."

Establishes that the major neurodegenerative diseases share protein aggregation as a common mechanism, the conserved consequence this module captures. Evidence source is OTHER because this is a review.