Metabolomics Studies on Feces and Serum from Type 2 Diabetes Mellitus

Zhi-wei LI; Jian-feng HUANG; Jie WEN; Fei LI; Xue-rong XIAO; Peng-fei WANG; Xia CAO

doi:10.12259/j.issn.2095-610X.S20210211

Volume 42 Issue 2

Mar. 2021

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Zhi-wei LI, Jian-feng HUANG, Jie WEN, Fei LI, Xue-rong XIAO, Peng-fei WANG, Xia CAO. Metabolomics Studies on Feces and Serum from Type 2 Diabetes Mellitus[J]. Journal of Kunming Medical University, 2021, 42(2): 54-63. doi: 10.12259/j.issn.2095-610X.S20210211

Citation:

Zhi-wei LI, Jian-feng HUANG, Jie WEN, Fei LI, Xue-rong XIAO, Peng-fei WANG, Xia CAO. Metabolomics Studies on Feces and Serum from Type 2 Diabetes Mellitus[J]. Journal of Kunming Medical University, 2021, 42(2): 54-63. doi: 10.12259/j.issn.2095-610X.S20210211

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Metabolomics Studies on Feces and Serum from Type 2 Diabetes Mellitus

doi: 10.12259/j.issn.2095-610X.S20210211

1.
Central Laboratory of the Second Affiliated Hospital of Kunming Medical University，Kunming Yunnan 650101
2.
Kunming Institute of Botany，Chinese Academy of Sciences，Kunming Yunnan 650204，China

Received Date: 2020-11-12
Publish Date: 2021-03-05

Abstract

Abstract

Objective To study the metabolomic differences of serum and feces between patients with type 2 diabetes and healthy people, and analyze the correlation between different metabolites and type 2 diabetes. Methods From January 2018 to March 2019, 53 patients with newly diagnosed type 2 diabetes mellitus and 30 healthy controls were enrolled in the Department of Endocrinology, the Second Affiliated Hospital of Kunming Medical University. The serum metabolites of the two groups and the fecal metabolites of 30 diabetic patients and the control group were detected by ultra performance liquid chromatography quadrupole time of flight mass spectrometry （UPLC-QTOF/MS） To carry out non targeted and targeted metabolomics studies. Spearman correlation analysis method was used to analyze the correlation between the differential metabolites in serum and stool and related indicators of type 2 diabetes. Results Fifteen differential metabolites were identified in serum samples of type 2 diabetes group and healthy control group, and 6 differential metabolites were identified in stool samples. The levels of glutamine, azelaic acid, sebacic acid, 3-hydroxysebacic acid and other dicarboxylic acid hydroxylated derivatives in patients with diabetes were significantly lower than those in healthy controls （P < 0.01）, while the levels of succinylacetoacetate, valine, leucine, glucose and lactic acid in patients with diabetes were significantly higher than those in healthy controls （P < 0.01）. In the fecal metabolites, deoxycholic acid, chenodeoxycholic acid and other bile acids also had a certain positive correlation with the blood glucose concentration of the subjects, and univariate analysis results showed that compared with the healthy control group, the blood glucose concentration of the subjects was significantly higher in the two groups The serum levels of deoxycholic acid and chenodeoxycholic acid were significantly increased in patients with uropathy. Conclusions There are obvious differences in serum metabolomics between patients with type 2 diabetes mellitus and healthy people, and these metabolites are closely related to the occurrence and development of diabetes mellitus. In fecal metabonomics, the level of bile acid in diabetic patients is closely related to the change of blood glucose concentration.

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