2. Academic Validation
  3. Integrating metagenomics with metabolomics for gut microbiota and metabolites profiling in acute pancreatitis

Integrating metagenomics with metabolomics for gut microbiota and metabolites profiling in acute pancreatitis

  • Sci Rep. 2024 Sep 14;14(1):21491. doi: 10.1038/s41598-024-72057-z.
Yan Jia # 1 2,  Yuxin Shi # 1 2,  Jie Wang # 1 2,  Honghui Liu 1 2,  Yilin Huang 1 2,  Hanyue Wang 1 2,  Ya Liu 1 2,  Jie Peng 3 4
Affiliations

Affiliations

  • 1 Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • 2 National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • 3 Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. pengjie2014@csu.edu.cn.
  • 4 National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. pengjie2014@csu.edu.cn.
  • # Contributed equally.
PMID: 39277616 DOI: 10.1038/s41598-024-72057-z
Abstract

Acute pancreatitis (AP) is an inflammatory disease of the pancreas. Despite of a steadily increasing in morbidity and mortality, there is still no effective therapy. Gut microbial dysbiosis and its derived-metabolites disorder have been shown to play an important role in the development of AP, however, little is known regarding the crosstalk between gut microbiota and metabolites. In this study, we assessed the alterations in gut microbiota and metabolites by constructing three AP mouse models by means of metagenomic and metabolomic Sequencing, and further clarified their relationship by correlation analysis. The results revealed that each model exhibited unique flora and metabolite profiles. KEGG analysis showed that the differential flora and metabolite-enriched pathway functions were correlated with lipid metabolism and amino acid metabolism. Moreover, two core differential Bacterial species on Burkholderiales bacterium YL45 and Bifidobacterium pseudolongum along with eleven differential metabolites appeared to exert certain effects during the course of AP. In conclusion, further exploration of the crosstalk between microbiota and derived metabolites may provide novel insights and strategies into the diagnosis and treatment of AP.

Keywords

Acute pancreatitis; Gut microbiota; Metabolomic; Metagenomics.

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