Full Citation
Title: Proteomic Predictors of Incident Diabetes: Results From the Atherosclerosis Risk in Communities (ARIC) Study
Citation Type: Journal Article
Publication Year: 2023
ISBN:
ISSN: 0149-5992
DOI: 10.2337/DC22-1830
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Abstract: Diabetes Care 2023;46(4):1-9 | https://doi.org/10.2337/dc22-1830 ARTICLE HIGHLIGHTS • Plasma protein signatures preceding diabetes can improve our understanding of diabetes pathogenesis. • The aims of this study were to discover and validate (internally and externally) associations for nearly 5,000 ap-tamer measurements of the plasma proteome in midlife with incident diabetes. We also conducted a pathway analysis and examined causality using genetic instruments. • We identified 47 plasma proteins predictive of incident diabetes, established causal effects for 3 proteins (SHBG, ATP1B2, and GSTA1), and identified diabetes-associated inflammation and lipid pathways with potential implications for diagnosis and therapy.
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Authors: Rooney, Mary R.; Chen, Jingsha; Echouffo-Tcheugui, Justin B.; Walker, Keenan A.; Schlosser, Pascal; Surapaneni, Aditya; Tang, Olive; Chen, Jinyu; Ballantyne, Christie M.; Boerwinkle, Eric; Ndumele, Chiadi E.; Demmer, Ryan T.; Pankow, James S.; Lutsey, Pamela L.; Wagenknecht, Lynne E.; Liang, Yujian; Sim, Xueling; van Dam, Rob; Tai, E. Shyong; Grams, Morgan E.; Selvin, Elizabeth; Coresh, Josef
Periodical (Full): Diabetes Care
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