- Comparative analysis of type 2 diabetes-associated gut microbiota between Han and Mongolian people
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Shu-chun Li , Yao Xiao , Ri-tu Wu , Dan Xie , Huan-hu Zhao , Gang-yi Shen , En-qi Wu
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J. Microbiol. 2021;59(7):693-701. Published online May 15, 2021
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DOI: https://doi.org/10.1007/s12275-021-0454-8
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 Abstract
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Due to the different rates of diabetes in different ethnic groups
and the structural differences in intestinal microbiota, this
study evaluated the changes in diabetes-related intestinal microbiota
in two ethnic groups. Fifty-six stool samples were
collected from subjects from the Han and Mongolian ethnic
groups in China, including participants without diabetes
(non-diabetic, ND) and with type 2 diabetes (T2D). The 16S
rDNA gene V3 + V4 area was extracted from microbiota,
amplified by PCR, and used to perform high-throughput sequencing
and screen differential microbiota associated with
ethnicity. The results showed that there were 44 T2D-related
bacterial markers in the Han subjects, of which Flavonifractor,
Alistipes, Prevotella, Oscillibacter, Clostridium XlVa,
and Lachnospiracea_incertae_sedis were most closely related
to diabetes. There were 20 T2D-related bacterial markers in
the Mongolian subjects, of which Fastidiosipila and Barnesiella
were most closely related to diabetes. The common
markers of T2D bacteria in the two ethnic groups were Papillibacter
and Bifidobacterium. There were 17 metabolic pathways
with significant differences between the ND and T2D
groups in the Han group, and 29 metabolic pathways in the
Mongolian group. The glutamatergic metabolic pathway was
the only common metabolic pathway in two ethnic groups.
The composition and function of diabetes-related bacteria
were significantly different among the different ethnic groups,
which suggested that the influence of ethnic differences should
be fully considered when studying the association between
diabetes and bacteria. In addition, the common bacterial
markers found in diabetic patients of different ethnic groups
in this study can be used as potential targets to study the pathogenesis
and treatment of diabetes.
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