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Genes for higher insulin levels and heart disease

Exploring the pathways linking fasting insulin to coronary artery disease: a proteome-wide Mendelian randomization study.

Overview

Huang X et al.. BMC Med 2025 · PMID 40442727 · DOI 10.1186/s12916-025-04127-6

People genetically inclined to higher fasting insulin had a higher risk of coronary artery disease.

Does the study support the specific claim? Partly · Methodological quality: moderate

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

Test whether higher fasting insulin causes coronary disease.

How was the study done?

Mendelian randomisation.

How many people, animals or samples were studied?

Large genetic datasets.

What was actually found?

OR 1.79 for CAD.

How large was the observed effect?

OR 1.79 (1.34-2.40).

What do the results mean in everyday life?

Insulin resistance with high natural insulin is bad for arteries.

What are the study's limitations?

Instruments reflect insulin resistance; no data on insulin therapy.

What does it say about Elawady's specific claim?

Supports the kernel about natural high insulin, not about insulin injections.

Do the results apply to Germany and Europe?

Mostly European data.

What can explicitly not be concluded from this study?

Cannot say insulin treatment causes atherosclerosis.

Scientific in-depth review

1. Full reference

Authors
Huang X et al.
Journal
BMC Med
Year
2025
Identifier
PMID 40442727 DOI 10.1186/s12916-025-04127-6
Verification
verified – PubMed efetch 2026-10-26; Crossref 2026-10-26
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

No competing interests (record).

2. Research question

Is genetically predicted fasting insulin causally associated with coronary artery disease, and through which proteins?

3. Study design and population

Study design
Other – Two-sample and proteome-wide Mendelian randomisation (MAGIC, CARDIoGRAMplusC4D, UKB-PPP, deCODE, FinnGen)
Population

GWAS summary data (mostly European ancestry)

Country

International consortia

Period

Not applicable

Sample size

GWAS summary statistics

Inclusion and exclusion criteria

Genetic instruments for fasting insulin

4. Methods and endpoints

Exposure / intervention

Genetically predicted endogenous fasting insulin

Comparator

Per genetic unit

Endpoints

Coronary artery disease

Statistical methods

MR with sensitivity analyses and mediation

5. Actual results

Results

Genetically predicted insulin associated with higher CAD risk, OR 1.79 (95% CI 1.34-2.40); 5 mediating proteins (PLA2G7, GZMA, LDLR, AGRP, HHEX), e.g. AGRP explaining 29.66% of the effect.

Absolute risks

not reported

Authors' conclusion

Five protein mediators link insulin to CAD.

6. Strengths

  • Genetic design reduces confounding
  • Replication datasets

7. Weaknesses

  • Fasting-insulin instruments largely reflect insulin resistance/adiposity (pleiotropy)
  • Two authors
  • Not about therapeutic insulin

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

MR assumptions (no horizontal pleiotropy) uncertain for fasting insulin.

9. Assessment of the statistical interpretation

CI log-symmetric (stats/C-INS-03_mr.py).

10. Relevance to the specific claim

Supports that higher endogenous insulin (insulin-resistance state) is linked to coronary disease, which is the correct kernel of the claim; it says nothing about insulin injections, which RCTs found neutral.

11. Independent contrary findings

12. Transferability to Germany and Europe

Directly applicable; same biology and clinical standards in Europe.

13. Overall methodological judgement

Supports the endogenous hyperinsulinaemia kernel; not evidence against insulin therapy.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biassome concerns
Precision of resultsmoderate
Directnessindirect
Reproducibilitypartly replicated
Consistency with the overall evidencemixed
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

15. Linked fact checks