Abstract

We assessed the causal relation of four glycemic traits and type 2 diabetes liability with 167 metabolites using Mendelian randomization with various sensitivity analyses and a reverse Mendelian randomization analysis. We extracted instruments for fasting glucose, 2-h glucose, fasting insulin, and glycated hemoglobin from the Meta-Analyses of Glucose and Insulin-related traits Consortium (n = 200,622), and those for type 2 diabetes liability from a meta-analysis of multiple cohorts (148,726 cases, 965,732 controls) in Europeans. Outcome data were from summary statistics of 167 metabolites from the UK Biobank (n = 115,078). Fasting glucose and 2-h glucose were not associated with any metabolite. Higher glycated hemoglobin was associated with higher free cholesterol in small low-density lipoprotein. Type 2 diabetes liability and fasting insulin were inversely associated with apolipoprotein A1, total cholines, lipoprotein subfractions in high-density-lipoprotein and intermediate-density lipoproteins, and positively associated with aromatic amino acids. These findings indicate hyperglycemia-independent patterns and highlight the role of insulin in type 2 diabetes development. Further studies should evaluate these glycemic traits in type 2 diabetes diagnosis and clinical management.

A Mendelian randomization study on metabolic profiling of different glycemic traits suggests hyperglycemia-independent patterns and highlights the role of insulin in the development of type 2 diabetes.

Details

Title
A two-sample Mendelian randomization study explores metabolic profiling of different glycemic traits
Author
Wong, Tommy H. T. 1   VIAFID ORCID Logo  ; Mo, Jacky M. Y. 1 ; Zhou, Mingqi 2   VIAFID ORCID Logo  ; Zhao, Jie V. 1   VIAFID ORCID Logo  ; Schooling, C. Mary 3   VIAFID ORCID Logo  ; He, Baoting 1 ; Luo, Shan 1   VIAFID ORCID Logo  ; Au Yeung, Shiu Lun 1 

 The University of Hong Kong, School of Public Health, Li Ka Shing Faculty of Medicine, Hong Kong SAR, China (GRID:grid.194645.b) (ISNI:0000 0001 2174 2757) 
 University of California Irvine, Department of Biological Chemistry, School of Medicine, Irvine, USA (GRID:grid.266093.8) (ISNI:0000 0001 0668 7243); University of California Irvine, Center for Epigenetics and Metabolism, Irvine, USA (GRID:grid.266093.8) (ISNI:0000 0001 0668 7243) 
 The University of Hong Kong, School of Public Health, Li Ka Shing Faculty of Medicine, Hong Kong SAR, China (GRID:grid.194645.b) (ISNI:0000 0001 2174 2757); City University of New York, School of Public Health and Health Policy, New York, USA (GRID:grid.212340.6) (ISNI:0000 0001 2298 5718) 
Pages
293
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2952419932
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.