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:
- 4 October 2022
- journal article
- research article
- Published by Springer Nature in Diabetologia
- Vol. 66 (1) , 105-115
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. 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. 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 × 10−3), while neuropilin-2 was inversely associated (OR 0.44 per SD; p=8.0 × 10−3). 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. Graphical abstractKeywords
Funding Information
- National Heart, Lung, and Blood Institute (R01HL134320)
- National Human Genome Research Institute (U01HG004402)
- National Institutes of Health (UL1RR025005)
This publication has 50 references indexed in Scilit:
- Causal analysis approaches in Ingenuity Pathway AnalysisBioinformatics, 2013
- Genome-wide meta-analysis of genetic susceptible genes for Type 2 DiabetesBMC Systems Biology, 2012
- C5aR and C3aR antagonists each inhibit diet‐induced obesity, metabolic dysfunction, and adipocyte and macrophage signalingThe FASEB Journal, 2012
- Estimating Glomerular Filtration Rate from Serum Creatinine and Cystatin CNew England Journal of Medicine, 2012
- Advances in human proteomics at high scale with the SOMAscan proteomics platformNew Biotechnology, 2012
- Role of Neurofilament Light Polypeptide in Head and Neck Cancer ChemoresistanceMolecular Cancer Research, 2012
- First certified reference material for cystatin C in human serum ERM-DA471/IFCCClinical Chemistry and Laboratory Medicine (CCLM), 2010
- Hypothalamic IKKβ/NF-κB and ER Stress Link Overnutrition to Energy Imbalance and ObesityCell, 2008
- Local and systemic insulin resistance resulting from hepatic activation of IKK-β and NF-κBNature Medicine, 2005
- Neuromedin BProgress in Neurobiology, 2000