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Updated: Jul 1, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization
Jiachen Wang1, Menghao Teng2, Ruoyang Feng1
1Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
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.
Insights
The gut microbiota (GM) is linked to diabetic complications like hypoglycemia and nephropathy. Specific bacterial classes, Bacteroidia and Verrucomicrobiae, show causal associations, offering new insights into diabetes management.
Area of Science:
- Microbiome research
- Metabolic disease research
- Genetics
Background:
- Diabetes mellitus is a complex metabolic disorder associated with numerous complications.
- The gut microbiota (GM) plays a crucial role in host metabolism and immune function.
- Understanding the interplay between GM and diabetic complications is vital for therapeutic advancements.
Purpose of the Study:
- To investigate the causal associations between gut microbiota composition and six major diabetic complications.
- To explore potential microbiome-mediated mechanisms underlying diabetic complications.
Main Methods:
- Utilized two-sample Mendelian randomization (TSMR) analysis with data from the MiBioGen, Dutch Microbiome Project, and FinnGen consortia.
- Employed inverse Mendelian randomization (MR) and multivariate MR (MVMR) to assess causality and account for confounding factors.
- Conducted sensitivity analyses to ensure the robustness and stability of the findings.
Main Results:
- Identified 61 suggestive causal markers linking gut microbiota and diabetic complications.
- Found positive associations between the Bacteroidia class/Bacteroidales order and diabetic hypoglycemia.
- Observed positive associations between the Verrucomicrobiae class/Verrucomicrobiales order and diabetic nephropathy.
Conclusions:
- Established extensive causal relationships between specific gut microbiota taxa and diabetic complications.
- These findings suggest novel microbiome-targeted therapeutic strategies for managing diabetes and its sequelae.
- Highlights the potential of the gut microbiome as a key player in the pathogenesis of diabetic complications.
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