Plasma proteomic profiling deciphers molecular dynamics linking insulin resistance to multiple chronic diseases and mortality
Authors' conclusion
This study probed into the plasma proteomic profiles in IR settings and the associations of relevant protein signatures with multiple chronic diseases and mortality
Study context
- Population
- Individuals in UK biobank study with data on 2,920 plasma proteins
- Participants
- 19,556 individuals
- Outcome
- IR indicators, IR proteomic signatures and incident chronic diseases and mortality
- Follow-up
- Mean over 12 years
Methodological detailsplasma proteomic profiling, elastic net model, mediation analyses
- Plasma proteomic profiling
- Elastic net model
- Mediation analyses
Main finding
As reported in the abstract
- Higher levels of insulin resistance (IR) surrogate markers were linked to cardiovascular-kidney-metabolic events and mortality; eGDR outperformed other metrics in predictive discrimination
- Most IR proteomic signatures were prospectively associated with incident T2D, ischemic heart diseases, stroke, CKD and mortality
- IR-associated proteins primarily enriched in inflammation, immune response and lipid metabolism, with immune-related proteins holding crucial roles
- Multiple IR-disease associations significantly mediated by proteomic signatures and specific proteins (e.g. HAVCR1, CXCL17, GDF15)
Observational data: associations, not effects.
Original publication
Plasma proteomic profiling deciphers molecular dynamics linking insulin resistance to multiple chronic diseases and mortality. Cardiovasc Diabetol. Published 12 July 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →