A

Disease A

Slug:Diabetes_Mellitus
B

Disease B

Slug:Peripheral_Artery_Disease
G

Causal Mechanism Graphs

Diabetes Mellitus

graph LR
    PDX1["PDX1"]
    Exogenous_triggers_of_islet_autoimmunity_in_type_1_diabetes_pathways["Exogenous triggers of islet autoimmunity in type 1 diabetes pathways"]
    Monogenic_Beta_Cell_Dysfunction["Monogenic Beta-Cell Dysfunction"]
    SLC19A2["SLC19A2"]
    HNF4A["HNF4A"]
    Diabetogenic_pharmacotherapy_exposure["Diabetogenic pharmacotherapy exposure"]
    Environmental_determinants_of_diabetes_susceptibility_and_progression["Environmental determinants of diabetes susceptibility and progression"]
    HNF1B["HNF1B"]
    ABCC8["ABCC8"]
    Chronic_Hyperglycemia_shared_diabetic_complication_cascade["Chronic Hyperglycemia (shared diabetic complication cascade)"]
    EIF2AK3["EIF2AK3"]
    Early_dietary_exposures["Early dietary exposures"]
    Immune_checkpoint_inhibitor_exposure["Immune checkpoint inhibitor exposure"]
    NEUROD1["NEUROD1"]
    Sedentary_lifestyle["Sedentary lifestyle"]
    GCK["GCK"]
    HNF1A["HNF1A"]
    CEL["CEL"]
    ALMS1["ALMS1"]
    KCNJ11["KCNJ11"]
    Obesogenic_environment["Obesogenic environment"]
    WFS1["WFS1"]
    RFX6["RFX6"]
    CISD2["CISD2"]
    High_calorie_diet["High-calorie diet"]
    Viral_infection_exposure["Viral infection exposure"]

    Monogenic_Beta_Cell_Dysfunction --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Environmental_determinants_of_diabetes_susceptibility_and_progression --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Exogenous_triggers_of_islet_autoimmunity_in_type_1_diabetes_pathways --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Diabetogenic_pharmacotherapy_exposure --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Immune_checkpoint_inhibitor_exposure --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Viral_infection_exposure --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Early_dietary_exposures --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Sedentary_lifestyle --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    High_calorie_diet --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    Obesogenic_environment --> Chronic_Hyperglycemia_shared_diabetic_complication_cascade
    KCNJ11 --> Monogenic_Beta_Cell_Dysfunction
    HNF1A --> Monogenic_Beta_Cell_Dysfunction
    HNF4A --> Monogenic_Beta_Cell_Dysfunction
    HNF1B --> Monogenic_Beta_Cell_Dysfunction
    ABCC8 --> Monogenic_Beta_Cell_Dysfunction
    GCK --> Monogenic_Beta_Cell_Dysfunction
    EIF2AK3 --> Monogenic_Beta_Cell_Dysfunction
    WFS1 --> Monogenic_Beta_Cell_Dysfunction
    ALMS1 --> Monogenic_Beta_Cell_Dysfunction
    CISD2 --> Monogenic_Beta_Cell_Dysfunction
    SLC19A2 --> Monogenic_Beta_Cell_Dysfunction
    PDX1 --> Monogenic_Beta_Cell_Dysfunction
    NEUROD1 --> Monogenic_Beta_Cell_Dysfunction
    CEL --> Monogenic_Beta_Cell_Dysfunction
    RFX6 --> Monogenic_Beta_Cell_Dysfunction

    style PDX1 fill:#f3e8ff
    style Exogenous_triggers_of_islet_autoimmunity_in_type_1_diabetes_pathways fill:#dcfce7
    style Monogenic_Beta_Cell_Dysfunction fill:#dbeafe
    style SLC19A2 fill:#f3e8ff
    style HNF4A fill:#f3e8ff
    style Diabetogenic_pharmacotherapy_exposure fill:#dcfce7
    style Environmental_determinants_of_diabetes_susceptibility_and_progression fill:#dcfce7
    style HNF1B fill:#f3e8ff
    style ABCC8 fill:#f3e8ff
    style Chronic_Hyperglycemia_shared_diabetic_complication_cascade fill:#dbeafe
    style EIF2AK3 fill:#f3e8ff
    style Early_dietary_exposures fill:#dcfce7
    style Immune_checkpoint_inhibitor_exposure fill:#dcfce7
    style NEUROD1 fill:#f3e8ff
    style Sedentary_lifestyle fill:#dcfce7
    style GCK fill:#f3e8ff
    style HNF1A fill:#f3e8ff
    style CEL fill:#f3e8ff
    style ALMS1 fill:#f3e8ff
    style KCNJ11 fill:#f3e8ff
    style Obesogenic_environment fill:#dcfce7
    style WFS1 fill:#f3e8ff
    style RFX6 fill:#f3e8ff
    style CISD2 fill:#f3e8ff
    style High_calorie_diet fill:#dcfce7
    style Viral_infection_exposure fill:#dcfce7

Peripheral Artery Disease

graph LR
    Atherosclerosis["Atherosclerosis"]
    Monocyte_Recruitment_and_Macrophage_Foam_Cell_Formation["Monocyte Recruitment and Macrophage Foam Cell Formation"]
    Advanced_Atheroma_with_Necrotic_Core_and_Fibrous_Cap["Advanced Atheroma with Necrotic Core and Fibrous Cap"]
    Thrombosis["Thrombosis"]
    Endothelial_Dysfunction_and_Subendothelial_LDL_Retention["Endothelial Dysfunction and Subendothelial LDL Retention"]

    Endothelial_Dysfunction_and_Subendothelial_LDL_Retention --> Monocyte_Recruitment_and_Macrophage_Foam_Cell_Formation
    Monocyte_Recruitment_and_Macrophage_Foam_Cell_Formation --> Atherosclerosis
    Atherosclerosis --> Advanced_Atheroma_with_Necrotic_Core_and_Fibrous_Cap
    Advanced_Atheroma_with_Necrotic_Core_and_Fibrous_Cap --> Thrombosis

    style Atherosclerosis fill:#dbeafe
    style Monocyte_Recruitment_and_Macrophage_Foam_Cell_Formation fill:#dbeafe
    style Advanced_Atheroma_with_Necrotic_Core_and_Fibrous_Cap fill:#dbeafe
    style Thrombosis fill:#dbeafe
    style Endothelial_Dysfunction_and_Subendothelial_LDL_Retention fill:#dbeafe
S

Association Signals

Signal 1
LITERATURE LITERATURE_ASSOCIATION A_BEFORE_B
Population:Systematic review and meta-analysis of 34 community-based studies (112,027 participants) estimating global peripheral artery disease prevalence and its risk factors in 2000 and 2010, stratified into high-income countries and low- and middle-income countries.
Temporal: A before B: , B before A: , Same time:
OR: 1.88
CI: 1.66 - 2.14
p:
FDR:
Meta-OR for diabetes in high-income countries. The low- and middle-income estimate from the same analysis is 1.47 (1.29-1.68); the high-income value is recorded here because the two are not poolable and a single metric slot cannot hold both. Diabetes ranks second of the 15 risk factors assessed, behind smoking.
PMID:23915883 (SUPPORT)
Source: HUMAN_CLINICAL
"in LMIC, followed by diabetes (1·88"
The only exact-quotable fragment carrying the diabetes point estimate: the effect sizes are printed inside a bracketed continuation that snippet normalization strips, so the quote ends at `1·88`. That value is the high-income meta-OR recorded in the metric above, not an LMIC smoking figure, despite how the fragment reads in isolation.
H

Hypotheses

Chronic hyperglycemia in diabetes drives endothelial dysfunction, oxidative stress, and accelerated atherosclerosis in peripheral arteries, making diabetes a major risk factor for the development of peripheral artery disease (the same final-common vascular-injury cascade captured by the `diabetic_vascular_complications` module).
PMID:23915883 (SUPPORT)
Source: HUMAN_CLINICAL
"in LMIC, followed by diabetes (1·88"
Meta-analysis across 34 community studies (112,027 participants) rating 15 risk factors for PAD; diabetes has the second-largest effect after smoking. The quote begins mid-sentence and the fragment reads as though it were about smoking in low- and middle-income countries: it is not. `1·88` is the high-income meta-OR for diabetes, and the low/middle-income estimate of 1.47 sits in the bracketed continuation that snippet normalization strips, which is why the quote stops where it does. Carried over unchanged from the original `Peripheral_Artery_Disease.yaml` `environmental:` entry.
Y

Raw YAML

Show YAML
name: com_Diabetes_Mellitus__Peripheral_Artery_Disease
creation_date: "2026-08-19T00:00:00Z"
curation_status: CANDIDATE
notes: >-
  Split out of `kb/disorders/Peripheral_Artery_Disease.yaml`'s `environmental:`
  block (dismech#8551): that entry listed `Diabetes` as an "exposure" acting on
  peripheral artery disease (PAD), but diabetes mellitus is a first-class
  `Disease` entry in its own right (`kb/disorders/Diabetes_Mellitus.yaml`),
  not something external to the organism the patient is exposed to. Modeling
  the relationship here as a disease-disease comorbidity instead makes it
  queryable and avoids a near-tautological "exposure" edge that ECTO/XCO can
  never bind a term for. Directionality is A_BEFORE_B: diabetes is a
  well-established antecedent risk state for atherosclerotic PAD via chronic
  hyperglycemia-driven vascular injury (see the `diabetic_vascular_complications`
  module), not the reverse. Evidence is carried over unchanged from the
  original `environmental:` entry rather than dropped.

  `disease_a` is deliberately the unstratified `Diabetes_Mellitus`
  (MONDO:0005015) rather than `Type_2_Diabetes_Mellitus` (MONDO:0005148). In a
  comorbidity entry `disease_a` is the claim, and the sole supporting citation
  (PMID:23915883) pools "diabetes" across 34 community studies without
  stratifying by type, so a T2DM-specific entry would be pitched above what its
  evidence reaches. Retargeting rather than narrowing was chosen because no
  T2DM-stratified PAD risk estimate was available to cite. If one is added
  later, a separate `com_Type_2_Diabetes_Mellitus__Peripheral_Artery_Disease`
  entry is the right home for it; this entry should stay at the level its
  evidence supports.

disease_a:
  slug: Diabetes_Mellitus
  preferred_term: diabetes mellitus
  term:
    id: MONDO:0005015
    label: diabetes mellitus

disease_b:
  slug: Peripheral_Artery_Disease
  preferred_term: peripheral arterial disease
  term:
    id: MONDO:0005386
    label: peripheral arterial disease

directionality: A_BEFORE_B
effect_direction: RISK

hypotheses:
- description: >-
    Chronic hyperglycemia in diabetes drives endothelial dysfunction, oxidative
    stress, and accelerated atherosclerosis in peripheral arteries, making
    diabetes a major risk factor for the development of peripheral artery
    disease (the same final-common vascular-injury cascade captured by the
    `diabetic_vascular_complications` module).
  evidence:
  - reference: PMID:23915883
    reference_title: "Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis"
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: "in LMIC, followed by diabetes (1·88"
    explanation: >-
      Meta-analysis across 34 community studies (112,027 participants) rating
      15 risk factors for PAD; diabetes has the second-largest effect after
      smoking. The quote begins mid-sentence and the fragment reads as though
      it were about smoking in low- and middle-income countries: it is not.
      `1·88` is the high-income meta-OR for diabetes, and the low/middle-income
      estimate of 1.47 sits in the bracketed continuation that snippet
      normalization strips, which is why the quote stops where it does. Carried
      over unchanged from the original `Peripheral_Artery_Disease.yaml`
      `environmental:` entry.

association_signals:
- source: LITERATURE
  method: LITERATURE_ASSOCIATION
  population: >-
    Systematic review and meta-analysis of 34 community-based studies
    (112,027 participants) estimating global peripheral artery disease
    prevalence and its risk factors in 2000 and 2010, stratified into
    high-income countries and low- and middle-income countries.
  directionality: A_BEFORE_B
  effect_direction: RISK
  statistics:
    metrics:
    - metric_type: OR
      metric_value: 1.88
      metric_ci_lower: 1.66
      metric_ci_upper: 2.14
      notes: >-
        Meta-OR for diabetes in high-income countries. The low- and
        middle-income estimate from the same analysis is 1.47 (1.29-1.68); the
        high-income value is recorded here because the two are not poolable and
        a single metric slot cannot hold both. Diabetes ranks second of the 15
        risk factors assessed, behind smoking.
    evidence:
    - reference: PMID:23915883
      reference_title: "Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis"
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: "in LMIC, followed by diabetes (1·88"
      explanation: >-
        The only exact-quotable fragment carrying the diabetes point estimate:
        the effect sizes are printed inside a bracketed continuation that
        snippet normalization strips, so the quote ends at `1·88`. That value is
        the high-income meta-OR recorded in the metric above, not an LMIC
        smoking figure, despite how the fragment reads in isolation.
Source:GitHub