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. 2023 May 1;72(5):666-673.
doi: 10.2337/db22-0628.

Plasma Proteomic Risk Markers of Incident Type 2 Diabetes Reflect Physiologically Distinct Components of Glucose-Insulin Homeostasis

Affiliations

Plasma Proteomic Risk Markers of Incident Type 2 Diabetes Reflect Physiologically Distinct Components of Glucose-Insulin Homeostasis

Héléne T Cronjé et al. Diabetes. .

Abstract

High-throughput proteomics allows researchers to simultaneously explore the roles of thousands of biomarkers in the pathophysiology of diabetes. We conducted proteomic association studies of incident type 2 diabetes and physiologic responses to an intravenous glucose tolerance test (IVGTT) to identify novel protein contributors to glucose homeostasis and diabetes risk. We tested 4,776 SomaScan proteins measured in relation to 18-year incident diabetes risk in participants from the Cardiovascular Health Study (N = 2,631) and IVGTT-derived measures in participants from the HERITAGE Family Study (N = 752). We characterize 51 proteins that were associated with longitudinal diabetes risk, using their respective 39, 9, and 8 concurrent associations with insulin sensitivity index (SI), acute insulin response to glucose (AIRG), and glucose effectiveness (SG). Twelve of the 51 diabetes associations appear to be novel, including β-glucuronidase, which was associated with increased diabetes risk and lower SG, suggesting an alternative pathway to insulin for glucose disposal; and plexin-B2, which also was associated with increased diabetes risk, but with lower AIRG, and not with SI, indicating a mechanism related instead to pancreatic dysfunction. Other novel protein associations included alcohol dehydrogenase-1C, fructose-bisphosphate aldolase-B, sorbitol dehydrogenase with elevated type 2 diabetes risk, and a leucine-rich repeat containing protein-15 and myocilin with decreased risk.

Article highlights: Plasma proteins are associated with the risk of incident diabetes in older adults independent of various demographic, lifestyle, and biochemical risk factors. These same proteins are associated with subtle differences in measures of glucose homeostasis earlier in life. Proteins that are associated with lower insulin sensitivity in individuals without diabetes tend to be associated with appropriate compensatory mechanisms, such as a stronger acute insulin response or higher glucose effectiveness. Proteins that are associated with future diabetes risk, but not with insulin insensitivity, tend to be associated with lower glucose effectiveness and/or impaired acute insulin response.

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Conflict of interest statement

Duality of Interest. B.M.P. serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. L.D. receives research support from Novartis Pharmaceuticals. J.R.K. reports stock ownership in Abbott, Bristol-Myers Squibb, Johnson & Johnson, Medtronic, Merck, and Pfizer. No other potential conflicts of interest relevant to this article were reported.

Figures

None
Graphical abstract
Figure 1
Figure 1
Comparison of association plots of incident type 2 diabetes associations in the CHS cohort and SI in the HERITAGE cohort. Proteins are labeled using their Entrez gene symbol. All proteins were associated with incident type 2 diabetes at P < 1.04 × 10−5 upon adjustment for age, sex, race, clinic site, and estimated glomerular filtration rate. Green indicates a protein associated with SI at P < 0.05 upon adjustment for age, sex, race, family grouping, BMI, smoking status, and alcohol consumption status. Grey indicates a statistically nonsignificant protein–SI association. Because of their strong effect sizes, IGFBP1, IGFBP2, and LEP are plotted off the axes in some of the panels to ensure that other proteins can be better visualized.
Figure 2
Figure 2
Comparison of association plots of AIRG. A: Protein associations with AIRG versus with SI in the HERITAGE cohort. B: Protein associations with AIRG in the HERITAGE cohort versus with incident type 2 diabetes associations in the CHS cohort. Proteins are labeled using their Entrez gene symbol. All proteins were associated with incident type 2 diabetes at P < 1.04 × 10−5 upon adjustment for age, sex, race, clinic site, and estimated glomerular filtration rate. Orange and green indicate a protein associated with AIRG or SI, respectively, at P < 0.05 upon adjustment for age, sex, race, family grouping, BMI, smoking status, and alcohol consumption status. Red and grey respectively indicate that both or neither association(s) were statistically significant. Because their strong effect sizes, IGFBP1, IGFBP2, and LEP are plotted off the axes in some of the panels to ensure that other proteins can be better visualized.
Figure 3
Figure 3
Comparison of association plots of SG. A: Protein associations with SG versus with SI in the HERITAGE cohort. B: Protein associations with SG in the HERITAGE cohort versus with incident type 2 diabetes associations in the CHS cohort. Proteins are labeled using their Entrez gene symbol. All proteins were associated with incident type 2 diabetes at P < 1.04 × 10−5 upon adjustment for age, sex, race, clinic site, and estimated glomerular filtration rate. Purple and green indicate a protein associated with SG or SI, respectively, at P < 0.05 upon adjustment for age, sex, race, family grouping, BMI, smoking status, and alcohol consumption status. Red and grey respectively indicate that both or neither association(s) were statistically significant. Because of their strong effect sizes, IGFBP1, IGFBP2, and LEP are plotted off the axes in some of the panels to ensure that other proteins can be better visualized.

References

    1. Lin X, Xu Y, Pan X, et al. . Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025. Sci Rep 2020;10:14790. - PMC - PubMed
    1. Mansour Aly D, Dwivedi OP, Prasad RB, et al. .; Regeneron Genetics Center . Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes. Nat Genet 2021;53:1534–1542 - PubMed
    1. Williams SA, Kivimaki M, Langenberg C, et al. . Plasma protein patterns as comprehensive indicators of health. Nat Med 2019;25:1851–1857 - PMC - PubMed
    1. Elhadad MA, Jonasson C, Huth C, et al. . Deciphering the plasma proteome of type 2 diabetes. Diabetes 2020;69:2766–2778 - PMC - PubMed
    1. Gudmundsdottir V, Zaghlool SB, Emilsson V, et al. . Circulating protein signatures and causal candidates for type 2 diabetes. Diabetes 2020;69:1843–1853 - PMC - PubMed

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