Abstract MP37: Proteomics Of Prediabetes Progression And Remission: The Atherosclerosis Risk In Communities (ARIC) Study

Introduction: Proteomics could improve our understanding of the mechanisms underlying short-term prediabetes progression and remission, i.e., reverting to normoglycemia. Objective: To identify proteomic predictors of 3-year progression from prediabetes to diabetes and remission. Method: We used data from the Atherosclerosis Risk in Communities (ARIC) Study visit 2 (1990-2) and visit 3 (1993-5). We examined associations of 4,955 plasma proteins (SOMAScan v4.0) in participants with baseline prediabetes (fasting glucose [FG] 100-125 mg/dL without diabetes). We used multivariable logistic regressions to examine protein associations with 3-year progression from prediabetes to diabetes (physician diagnosis, medication, or FG ≥126 mg/dL) or remission (FG <100 mg/dL). Analyses were adjusted for demographics, cardiometabolic risk factors, and baseline glucose. Statistical significance was based on p<10 -5 . We explored biologic pathways enriched among top proteins and calculated the delta-AUC for models with (and without) the associated proteins. Results: The 3,788 participants with prediabetes were mean aged 57 years (SD:6), 52% were women, 18% self-identified as Black. The 3-year cumulative incidence of diabetes was 6% and was 40% for prediabetes remission. We identified 6 proteins associated with 3-year progression to diabetes (e.g., lower adiponectin [ADIPOQ]) and 8 proteins (e.g., higher insulin growth factor binding protein 2 [IGFBP2], lower complement C3 [C3]) associated with prediabetes remission. Adipogenesis and Jak/STAT signaling were among the pathways enriched in diabetes-associated proteins. Regulation of IGF transport and uptake by IGFBPs and C3/C5 activation were pathways for remission-associated proteins. The 6 proteins collectively improved diabetes progression prediction (covariate only AUC=0.798; delta-AUC=0.03 p<0.001). The 8 proteins collectively improved remission prediction (covariate only AUC=0.722; delta-AUC=0.03 p<0.001). Conclusions: In persons with prediabetes, we identified known and novel proteins that were associated with 3-year progression to diabetes and remission. Proteins associated with remission relate to reduced inflammation and improved insulin sensitivity.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-03-11
DOI
https://doi.org/10.1161/cir.151.suppl_1.mp37
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract MP37: Proteomics Of Prediabetes Progression And Remission: The Atherosclerosis Risk In Communities (ARIC) Study

Chiadi E. Ndumele, James S. Pankow, Elizabeth Selvin, Mary R. Rooney et al.
1 links
Circulation
Cardiovascular Health and Risk Factors
article

Abstract MP37: Proteomics Of Prediabetes Progression And Remission: The Atherosclerosis Risk In Communities (ARIC) Study

Chiadi E. Ndumele, James S. Pankow, Elizabeth Selvin, Mary R. Rooney, Morgan E. Grams, Jingsha Chen, Christie Mitchell Ballantyne, Keenan A. Walker, Justin Echouffo, Eric Boerwinkle, Joe Coresh
article en

Abstract

Introduction: Proteomics could improve our understanding of the mechanisms underlying short-term prediabetes progression and remission, i.e., reverting to normoglycemia. Objective: To identify proteomic predictors of 3-year progression from prediabetes to diabetes and remission. Method: We used data from the Atherosclerosis Risk in Communities (ARIC) Study visit 2 (1990-2) and visit 3 (1993-5). We examined associations of 4,955 plasma proteins (SOMAScan v4.0) in participants with baseline prediabetes (fasting glucose [FG] 100-125 mg/dL without diabetes). We used multivariable logistic regressions to examine protein associations with 3-year progression from prediabetes to diabetes (physician diagnosis, medication, or FG ≥126 mg/dL) or remission (FG <100 mg/dL). Analyses were adjusted for demographics, cardiometabolic risk factors, and baseline glucose. Statistical significance was based on p<10 -5 . We explored biologic pathways enriched among top proteins and calculated the delta-AUC for models with (and without) the associated proteins. Results: The 3,788 participants with prediabetes were mean aged 57 years (SD:6), 52% were women, 18% self-identified as Black. The 3-year cumulative incidence of diabetes was 6% and was 40% for prediabetes remission. We identified 6 proteins associated with 3-year progression to diabetes (e.g., lower adiponectin [ADIPOQ]) and 8 proteins (e.g., higher insulin growth factor binding protein 2 [IGFBP2], lower complement C3 [C3]) associated with prediabetes remission. Adipogenesis and Jak/STAT signaling were among the pathways enriched in diabetes-associated proteins. Regulation of IGF transport and uptake by IGFBPs and C3/C5 activation were pathways for remission-associated proteins. The 6 proteins collectively improved diabetes progression prediction (covariate only AUC=0.798; delta-AUC=0.03 p<0.001). The 8 proteins collectively improved remission prediction (covariate only AUC=0.722; delta-AUC=0.03 p<0.001). Conclusions: In persons with prediabetes, we identified known and novel proteins that were associated with 3-year progression to diabetes and remission. Proteins associated with remission relate to reduced inflammation and improved insulin sensitivity.

CirculationVol. 151(Suppl_1)
Johns Hopkins University (US), Baylor College of Medicine (US), University of Minnesota System (US), National Institute on Aging (US), Johns Hopkins Hospital (US), New York University (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 87%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.