Evidence map›Paper›PMID 39277616›Full record

ArticleScientific reports2024

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

Yan Jia, Yuxin Shi, Jie Wang, Honghui Liu, Yilin Huang, Hanyue Wang, Ya Liu, Jie Peng

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Towards Microbiota-Targeted Interventions in Acute Pancreatitis: Evidence From Meta-Analysis and Mendelian Randomization.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Pooled it
  2. Review
  3. Article
  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yan Jia *Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Yuxin Shi *Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Jie Wang *Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Honghui LiuDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Yilin HuangDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Hanyue WangDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Ya LiuDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Jie PengDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. pengjie2014@csu.edu.cn.

Funding

Fundamental Research Funds for Central Universities of the Central South University 2023zzts896Key Project of Research and Development Plan of Hunan Province 2023DK2002National Natural Science Foundation of China 82170661Postdoctoral Fellowship Program of CPSF GZC20242045
6 · The paper itself

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.

Indexed as

Gastrointestinal MicrobiomeMetabolomicsMetagenomicsPancreatitisAcute DiseaseAnimalsDisease Models, AnimalDysbiosisMaleMetabolomeMiceMice, Inbred C57BLAcute pancreatitisGut microbiotaMetabolomicMetagenomics

Identifiers

PMID39277616
PMCPMC11401878

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.