Evidence map›Paper›PMID 40093002›Full record

ArticleFrontiers in immunology2025

Distinct microbial signatures and their predictive value in recurrent acute pancreatitis: insights from 5-region 16S rRNA gene sequencing.

Qi-Wen Wang, Haorui Zheng, Yang Yang, Xinyao Chang, Zengkan Du, Zi-Ning Hang, Zhao-Shen Li, Zhuan Liao

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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qi-Wen Wang *Department of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Haorui Zheng *Department of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Yang Yang *Department of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Xinyao ChangDepartment of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Zengkan DuDepartment of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Zi-Ning HangDepartment of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Zhao-Shen LiDepartment of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.
Zhuan LiaoDepartment of Gastroenterology, Shanghai Institute of Pancreatic Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recurrent acute pancreatitis (RAP) poses significant clinical challenges, with 32.3% developing to chronic pancreatitis within 5 years. The underlying microbial factors contributing to RAP remain poorly understood. This study aims to identify blood microbial signatures associated with RAP and explore the potential microbial predictors for RAP. Methods: In this prospective cohort, 90 acute pancreatitis patients are classified into non-recurrent acute pancreatitis (NRAP, n=68) and RAP (n=22) groups based on the number of pancreatitis episodes. Microbial composition of blood samples is analyzed using 5-region (5R) 16S rRNA gene sequencing. Key microbial taxa and functional predictions are made. A random forest model is used to assess the predictive value of microbial features for RAP. The impact of Results: Linear discriminant analysis effect size (LEfSe) analysis highlights significant microbial differences, with Conclusions: This study identifies distinct clinical and microbial features associated with RAP, emphasizing the role of specific bacterial taxa in pancreatitis recurrence. The findings suggest that microbial profiling could enhance the diagnosis and management of RAP, paving the way for personalized therapeutic approaches.

Indexed as

BloodCorynebacteriumPancreatitisParacoccusStaphylococcus hominisAdultAnimalsCross-Sectional StudiesDysbiosisGastrointestinal MicrobiomeHumansMaleMiceMice, Inbred C57BLMiddle AgedRecurrenceRNA, Ribosomal, 16S16S rRNA gene sequencingacute pancreatitismicrobiomerecurrent acute pancreatitisStaphylococcus hominis

Identifiers

PMID40093002
PMCPMC11906328

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