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Proteomic analysis of diabetes genetic risk scores identifies complement C2 and neuropilin-2 as predictors of type 2 diabetes: the Atherosclerosis Risk in Communities (ARIC) Study.

Authors :
Steffen BT
Tang W
Lutsey PL
Demmer RT
Selvin E
Matsushita K
Morrison AC
Guan W
Rooney MR
Norby FL
Pankratz N
Couper D
Pankow JS
Source :
Diabetologia [Diabetologia] 2023 Jan; Vol. 66 (1), pp. 105-115. Date of Electronic Publication: 2022 Oct 04.
Publication Year :
2023

Abstract

Aims/hypothesis: Genetic predisposition to type 2 diabetes is well-established, and genetic risk scores (GRS) have been developed that capture heritable liabilities for type 2 diabetes phenotypes. However, the proteins through which these genetic variants influence risk have not been thoroughly investigated. This study aimed to identify proteins and pathways through which type 2 diabetes risk variants may influence pathophysiology.<br />Methods: Using a proteomics data-driven approach in a discovery sample of 7241 White participants in the Atherosclerosis Risk in Communities Study (ARIC) cohort and a replication sample of 1674 Black ARIC participants, we interrogated plasma levels of 4870 proteins and four GRS of specific type 2 diabetes phenotypes related to beta cell function, insulin resistance, lipodystrophy, BMI/blood lipid abnormalities and a composite score of all variants combined.<br />Results: Twenty-two plasma proteins were identified in White participants after Bonferroni correction. Of the 22 protein-GRS associations that were statistically significant, 10 were replicated in Black participants and all but one were directionally consistent. In a secondary analysis, 18 of the 22 proteins were found to be associated with prevalent type 2 diabetes and ten proteins were associated with incident type 2 diabetes. Two-sample Mendelian randomisation indicated that complement C2 may be causally related to greater type 2 diabetes risk (inverse variance weighted estimate: OR 1.65 per SD; p=7.0 × 10 <superscript>-3</superscript> ), while neuropilin-2 was inversely associated (OR 0.44 per SD; p=8.0 × 10 <superscript>-3</superscript> ).<br />Conclusions/interpretation: Identified proteins may represent viable intervention or pharmacological targets to prevent, reverse or slow type 2 diabetes progression, and further research is needed to pursue these targets.<br /> (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Details

Language :
English
ISSN :
1432-0428
Volume :
66
Issue :
1
Database :
MEDLINE
Journal :
Diabetologia
Publication Type :
Academic Journal
Accession number :
36194249
Full Text :
https://doi.org/10.1007/s00125-022-05801-7