Dataset Information

Response of gut microbiota to serum metabolome changes in intrahepatic cholestasis of pregnant patients.

ABSTRACT:

Background

Intrahepatic cholestasis in pregnancy (ICP) is the most common liver disease during pregnancy, and its exact etiology and course of progression are still poorly understood.

Aim

To investigate the link between the gut microbiota and serum metabolome in ICP patients.

Methods

In this study, a total of 30 patients were recruited, including 15 patients with ICP (disease group) and 15 healthy pregnant patients (healthy group). The serum nontarget metabolomes from both groups were determined. Amplification of the 16S rRNA V3-V4 region was performed using fecal samples from the disease and healthy groups. By comparing the differences in the microbiota and metabolite compositions between the two groups, the relationship between the gut microbiota and serum metabolites was also investigated.

Results

The Kyoto Encyclopedia of Genes and Genomes analysis results showed that the primary bile acid biosynthesis, bile secretion and taurine and hypotaurine metabolism pathways were enriched in the ICP patients compared with the healthy controls. In addition, some pathways related to protein metabolism were also enriched in the ICP patients. The principal coordination analysis results showed that there was a distinct difference in the gut microbiota composition (beta diversity) between the ICP patients and healthy controls. At the phylum level, we observed that the relative abundance of Firmicutes was higher in the healthy group, while Bacteroidetes were enriched in the disease group. At the genus level, most of the bacteria depleted in ICP are able to produce short-chain fatty acids (e.g., Faecalibacterium, Blautia and Eubacterium hallii), while the bacteria enriched in ICP are associated with bile acid metabolism (e.g., Parabacteroides and Bilophila). Our results also showed that specific genera were associated with the serum metabolome.

Conclusion

Our study showed that the serum metabolome was altered in ICP patients compared to healthy controls, with significant differences in the bile, taurine and hypotaurine metabolite pathways. Alterations in the metabolization of these pathways may lead to disturbances in the gut microbiota, which may further affect the course of progression of ICP.

SUBMITTER: Li GH

PROVIDER: S-EPMC7739160 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Response of gut microbiota to serum metabolome changes in intrahepatic cholestasis of pregnant patients.

Li Guo-Hua GH Huang Shi-Jia SJ Li Xiang X Liu Xiao-Song XS Du Qiao-Ling QL

World journal of gastroenterology 20201201 46

<h4>Background</h4>Intrahepatic cholestasis in pregnancy (ICP) is the most common liver disease during pregnancy, and its exact etiology and course of progression are still poorly understood.<h4>Aim</h4>To investigate the link between the gut microbiota and serum metabolome in ICP patients.<h4>Methods</h4>In this study, a total of 30 patients were recruited, including 15 patients with ICP (disease group) and 15 healthy pregnant patients (healthy group). The serum nontarget metabolomes from both ...[more]

PMID: 33362388

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Project description:BACKGROUND:Intrahepatic cholestasis of pregnancy (ICP) is a liver disorder that specifically occurs in pregnancy. Elevated levels of liver transaminases aspartate aminotransferase, alanine aminotransferase and serum bilirubin levels are common biochemical characteristics in ICP. The disorder is associated with an increased risk of premature delivery and stillbirth. The characterization of the potential microbiota in ICP could go a long way in the prevention and treatment of this pregnancy disease. METHODS:A total of 58 patients were recruited for our study: 27 ICP patients and 31 healthy pregnant subjects with no ICP. The V3 and V4 regions of the 16S rDNA collected from fecal samples of both diseased and control groups were amplified. 16S rRNA gene amplicon sequencing was then performed on gut microbiota. Sequencing data were analyzed and the correlation between components of microbiota and patient ICP status was found. Related metabolic pathways, relative abundance and significantly different operational taxonomic units (OTUs) between ICP and controls were also identified. RESULTS:Elevated levels of total bile acid, ALT, AST, Dbil and Tbil were recorded or observed in ICP subjects as compared to the control. Gut microbiota in pregnant women was dominated by four major phyla and 27 core genera. PCoA analysis results indicated that there was no significant clustering in Bray-Curtis distance matrices. Our results showed that there was a correlation between specific OTUs and measured clinical parameters of pregnant women. Comparison at the different taxonomy levels revealed high levels of abundance of Blautia and Citrobacter in ICP patients. At the family level, Enterobacteriaceae and Leuconostocaceae were higher in ICP patients. 638 KEGG Orthologs and 138 pathways significantly differed in the two groups. PLS-DA model with VIP plots indicated a total of eight genera and seven species were key taxa in ICP and control groups. CONCLUSIONS:Our research indicated that although there was no significant clustering by PCoA analysis, patients with ICP have increased rare bacteria at different phylogenetic levels. Our results also illustrated that all 638 KEGG Orthologs and 136 in 138 KEGG pathways were less abundant in ICP patients compared to the controls.

Project description:Background: Diarrheagenic Escherichia coli (DEC) strains are a main cause of diarrhea worldwide in children under 5 years old. DEC virulence is strongly regulated by environmental conditions and metabolites produced by the gut microbiota in the intestinal tract. In this study, we evaluated changes in gut microbiota-metabolome in children with or without diarrhea produced by DEC pathotypes. Goal: To determine gut microbiota composition and metabolome in stool samples obtained from healthy children and children with diarrhea positive for DEC pathotypes. Methods: We analyzed a total of 16 age-paired stool samples: 8 diarrheal samples positive for one DEC pathotype and 8 stool samples from healthy children. To identify the microbiota composition, we sequenced the V3-V4 region of the 16S rRNA and determined operational phylogenetic units (OPU). OPU were then used to predict metabolic pathways using the PICRUSt2 software. The presence of metabolites in stool samples was determined by LC-MS. A correlation analysis was performed with the main genera from each group and main metabolites. Bacteria associated with variance of main metabolites were identified using the MIMOSA2 software. Results: DEC and healthy groups showed a statistically different microbiota composition. A decrease in Firmicutes together with an increase in Bacteroidetes and Proteobacteria was found in the DEC group compared to the healthy group. Metabolic pathway predictions based on microbiota diversity showed that pathways involved in histidine and L-ornithine metabolism were significantly different between groups. A total of 88 metabolites detected by LC-MS were included in the metabolome analysis. We found higher levels of histamine and lower levels of ornithine in DEC samples than in the healthy group. Histamine and L-ornithine were associated with a specific microbiota species and the corresponding metabolic pathways. Conclusion: Stool samples from healthy children and children positive for DEC displayed a differential metabolome and microbiota composition. A strong correlation between a gut microbiota species and certain metabolites, such as histamine and L-ornithine, was found in the DEC group. This information might be useful to identify mechanisms and signaling molecules involved in the crosstalk between microbiota and DEC pathotypes.

Dataset Information

Response of gut microbiota to serum metabolome changes in intrahepatic cholestasis of pregnant patients.

Background

Aim

Methods

Results

Conclusion

Publications

Response of gut microbiota to serum metabolome changes in intrahepatic cholestasis of pregnant patients.

Similar Datasets

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