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Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study

Authors :
Jiachen Wang
Menghao Teng
Ruoyang Feng
Xiaochen Su
Ke Xu
Junxiang Wang
Guoqiang Wang
Yulong Zhang
Peng Xu
Source :
Diabetology & Metabolic Syndrome, Vol 16, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background This study aimed to reveal the association between the gut microbiota (GM) and six diabetic complications: diabetic hypoglycemia; ketoacidosis; nephropathy; neuropathy; retinopathy; and Charcot’s foot. Methods GM data were obtained from the MiBioGen consortium and Dutch Microbiome Project while data on the six diabetic complications were obtained from the FinnGen consortium. Two-sample Mendelian randomization (TSMR) was performed to explore the association between GM and the common diabetic complications. Inverse MR analysis was conducted to examine the effect of diabetic complications on the identified GM. Sensitivity tests were conducted to validate the stability of the results. Finally, multivariate MR (MVMR) was performed to determine whether GM had a direct influence on the diabetic complications. Results After multiple corrections, the inverse variance weighted (IVW) results predicted 61 suggestive markers between GM and six diabetic complications. In particular, the IVW results revealed that the Bacteroidia class and Bacteroidales order were positively associated with diabetic hypoglycemia while the Verrucomicrobiae class and Verrucomicrobiales order were positively associated with diabetic nephropathy. Based on the replication analysis, these results were identified to be stable. MVMR showed that the results remained stable after accounting for traditional risk factors. Conclusion Extensive causal associations were found between GM and diabetic complications, which may provide new insights into the mechanisms of microbiome-mediated complications of diabetes.

Details

Language :
English
ISSN :
17585996
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Diabetology & Metabolic Syndrome
Publication Type :
Academic Journal
Accession number :
edsdoj.bd6d6b9da29426aaa16b1f6e070dc21
Document Type :
article
Full Text :
https://doi.org/10.1186/s13098-024-01298-9