ArticleDiabetologia2023
Plasma proteomic signatures of a direct measure of insulin sensitivity in two population cohorts.
Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- Inflammatory protein signatures as predictors of insulin resistance and cognitive function: a one-year longitudinal study in theBrain, behavior, & immunity - health · 2026Article
- Review
- Plasma proteomic profiling deciphers molecular dynamics linking insulin resistance to multiple chronic diseases and mortality.Cardiovascular diabetology · 2026Article
- Biomarkers of Insulin Resistance and Their Performance as Predictors of Treatment Response in Overweight Adults.The Journal of clinical endocrinology and metabolism · 2025Article
- Risk factors for mortality in patients with kidney failure on hemodialysis identified by proteomic analysis of CRIC and PACE studies.Nature communications · 2025Article
- Circulating Proteomic Profiles Are Associated With Incident Type 2 Diabetes in Asian Populations.The Journal of clinical endocrinology and metabolism · 2025Article
- Cross-sectional, interventional, and causal investigation of insulin sensitivity using plasma proteomics in diverse populations.Metabolism: clinical and experimental · 2025Article
- Plasma proteomic signatures for type 2 diabetes and related traits in the UK Biobank cohort.Diabetes research and clinical practice · 2025Article
- The Primacy of Adipose Tissue Gene Expression and Plasma Lipidome in Cardiometabolic Disease in Persons With HIV.The Journal of infectious diseases · 2025Observational
- Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans.medRxiv : the preprint server for health sciences · 2024Article
- Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans.Frontiers in endocrinology · 2024Article
Corrections and comments
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Authors and funding
15 authors at 8 institutions in 4 countries.
Funding
Abstract
aims/hypothesisThe euglycaemic-hyperinsulinaemic clamp (EIC) is the reference standard for the measurement of whole-body insulin sensitivity but is laborious and expensive to perform. We aimed to assess the incremental value of high-throughput plasma proteomic profiling in developing signatures correlating with the M value derived from the EIC.
methodsWe measured 828 proteins in the fasting plasma of 966 participants from the Relationship between Insulin Sensitivity and Cardiovascular disease (RISC) study and 745 participants from the Uppsala Longitudinal Study of Adult Men (ULSAM) using a high-throughput proximity extension assay. We used the least absolute shrinkage and selection operator (LASSO) approach using clinical variables and protein measures as features. Models were tested within and across cohorts. Our primary model performance metric was the proportion of the M value variance explained (R
resultsA standard LASSO model incorporating 53 proteins in addition to routinely available clinical variables increased the M value R CONCLUSIONS/
interpretationA plasma proteomic signature identified using a standard LASSO approach improves the cross-sectional estimation of the M value over routine clinical variables. However, a small subset of these proteins identified using a stability selection algorithm affords much of this improvement, especially when considering cross-cohort analyses. Our approach provides opportunities to improve the identification of insulin-resistant individuals at risk of insulin resistance-related adverse health consequences.
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