Cirrhosis related functionality characteristic of the fecal microbiota as revealed by a metaproteomic approach
Open accessAbstract
BACKGROUND: Intestinal microbiota operated as a whole and was closely related with human health. Previous studies had suggested close relationship between liver cirrhosis (LC) and gut microbiota. METHODS: To determine the functional characteristic of the intestinal microbiota specific for liver cirrhosis, the fecal metaproteome of three LC patients with Child-Turcotte-Pugh (CTP) score of A, B, and C, and their spouse were first compared using high-throughput approach based on denaturing polyacrylamide gel electrophoresis and liquid chromatography-tandem mass spectrometry in our study. RESULTS: A total of 5,020 proteins (88 % from bacteria, 12 % form human) were identified and annotated based on the GO and KEGG classification. Our results indicated that the LC patients possessed a core metaproteome including 119 proteins, among which 14 proteins were enhanced expressed and 7 proteins were unique for LC patients compared with the normal, which were dominant at the function of carbohydrate metabolism. In addition, LC patients have unique biosynthesis of branched chain amino acid (BCAA), pantothenate, and CoA, enhanced as CTP scores increased. Those three substances were all important in a wide array of key and essential biological roles of life. CONCLUSIONS: We observed a highly comparable cirrhosis-specific metaproteome clustering of fecal microbiota and provided the first supportive evidence for the presence of a LC-related substantial functional core mainly involved in carbohydrate, BCAA, pantothenate, and CoA metabolism, suggesting the compensation of intestinal microbiota for the fragile and innutritious body of cirrhotic patients.
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The gut microbiomes of patients with advanced liver disease and cirrhosis are characterized by increased potentially pathogenic bacteria and reduced beneficial bacteria.
“The gut microbiomes of patients with advanced liver disease and cirrhosis are characterized by an increase in potentially pathogenic bacteria, along with reduced numbers of bacteria with beneficial properties32,84,85.”
From The gut microbiome and liver cancer: mechanisms and clinical translation (2017) · cites this paper as [84]
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The gut microbiome and liver cancer: mechanisms and clinical translation
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- Authors
- Wei, X., Jiang, S., Chen, Y., Zhao, X., Li, H., Lin, W., Li, B., Wang, X., Yuan, J., & Sun, Y.
- Affiliations
- Academy of Military Medical Sciences (CN)
- Corresponding author
- Yuan, Jing
- Sun, Yansong
- Venue
- BMC Gastroenterology
- Published
- 2016-10-04
- Volume
- 16
- Issue
- 1
- Pages
- 121-121
- ISSN
- 1471-230X (ISSN-L)
- PMC
- PMC5051048
- OpenAlex
- W2529534298
- Cited by
- 45
- References
- 28
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 2 · 2021: 5 · 2020: 9 · 2019: 8 · 2018: 3 · 2017: 5
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Gastroenterology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Deutscher Akademischer Austauschdienst (D/09/04778, Grant D/09/04778)
- National Natural Science Foundation of China (2011ZX10004-001, 31370093, 863 Program)
- Bundesministerium für Bildung und Forschung
- National High-tech Research and Development Program (SS2014AA022210)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Hepatology › Liver Disease and Transplantation
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- liver cirrhosis, gut microbiota, carbohydrate metabolism, branched-chain amino acid biosynthesis, pantothenate and CoA biosynthesis, Child-Pugh score
- MeSH terms
- Gastrointestinal Microbiome, Amino Acids, Branched-Chain, Coenzyme A, Feces, Female, Humans, Liver Cirrhosis, Male, Middle Aged, Pantothenic Acid, Severity of Illness Index, Spouses, Proteomics, Carbohydrate Metabolism, Metagenome
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