已发表论文

急性胰腺炎患者肠道菌群特征及其与全身炎症反应综合征和器官衰竭的关系:一项实验研究

 

Authors Wang Q, Zhang K, Ding Z, Si G, Shen F, Yu S

Received 7 August 2025

Accepted for publication 19 November 2025

Published 13 December 2025 Volume 2025:18 Pages 17387—17399

DOI https://doi.org/10.2147/JIR.S559136

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Nadia Andrea Andreani

Qian Wang,1,* Kaikai Zhang,2,* Ziyi Ding,1 Guangxiong Si,1 Feng Shen,1 Shanshan Yu3 

1Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, People’s Republic of China; 2Department of Emergency, The Affiliated Jinyang Hospital of Guizhou Medical University, Guiyang Second People’s Hospital, Guiyang, People’s Republic of China; 3Department of Neuro Intensive Care Unit, The Affiliated Jinyang Hospital of Guizhou Medical University, Guiyang Second People’s Hospital, Guiyang, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Shanshan Yu, Department of Neuro Intensive Care Unit, The Affiliated Jinyang Hospital of Guizhou Medical University, Guiyang Second People’s Hospital, No. 547 Jinyang South Road, Guanshanhu District, Guiyang, 550023, People’s Republic of China, Email yss_yt0851@163.com

Background: Acute pancreatitis (AP) is a common gastrointestinal disease. Systemic inflammatory response syndrome (SIRS), a severe complication of AP, increases the risk of organ failure and progression to severe AP (SAP). Gut microbiota dysbiosis is linked to AP pathogenesis. The aim of this study is to investigate the gut microbiota characteristics of AP patients and their association with SIRS and organ failure.
Methods: Rectal swabs from 19 healthy controls (HC) and 88 AP patients (stratified into non_SIRS, SIRS, low/med/high_sequential organ failure assessment (SOFA) groups) were analyzed using 16S rRNA gene sequencing. Microbiota diversity, composition, and function were evaluated, and random forest diagnostic models were constructed.
Results: Compared with HC, AP (SIRS/non_SIRS) patients had altered clinical indices, reduced gut microbial richness and diversity. As SOFA scores increased, the high_SOFA group exhibited further reductions in richness and diversity. Barplots analysis showed that there were differences in the mainly dominant microbiota between HC and AP (SIRS/non_SIRS) patients. Some differentially abundant genera such as Faecalibacterium, Parabacteroides, Megasphaera, and Fusicatenibacter may be closely associated with the occurrence of AP, development of SIRS, and severity of organ failure. Furthermore, functional pathways like L-isoleucine biosynthesis, lysine biosynthesis, AMPK signaling, and glycogen biosynthesis may also play significant roles in diseases. The random forest models constructed for distinguishing between HC and non_SIRS, as well as for distinguishing between HC and SIRS, showed extremely diagnostic accuracy.
Conclusion: Gut microbiota dysbiosis is correlated with the occurrence of AP, development of SIRS, and severity of organ failure. Specific microbiota taxa and functional pathways may serve as potential therapeutic targets or diagnostic biomarkers for AP, providing a microbial perspective for personalized management of this disease.

Keywords: acute pancreatitis, systemic inflammatory response syndrome, sequential organ failure assessment, gut microbiota, function prediction, diagnostic classification model