Qu Chang, Lu Jiongdi, Chen Yongyan, Li Jia, Xu Xiaoqing, Li Fei
Department of General Surgery, Peking University First Hospital, Peking University, Beijing, China.
Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Front Microbiol. 2024 Jul 3;15:1401056. doi: 10.3389/fmicb.2024.1401056. eCollection 2024.
Gut microbiota may influence the development of acute pancreatitis (AP), a serious gastrointestinal disease with high morbidity and mortality. This study aimed to identify a causal link by investigating the relationship between gut microbiota and AP.
Mendelian randomization (MR) and a nested case-control study were used to explore associations between gut microbiota composition and AP. 16S rRNA sequencing, random forest modelling (RF), support vector machine (SVM), and Kaplan-Meier survival analysis was applied to identify significant gut microbiota and their correlation with hospitalization duration in AP patients.
Bidirectional MR results confirmed a causal link between specific gut microbiota and AP (15 and 8 microbial taxa identified via forward and reverse MR, respectively). The 16S rRNA sequencing analysis demonstrated a pronounced difference in gut microbiota composition between cases and controls. Notably, after a comprehensive evaluation of the results of RF and SVM, () was found to play a significant role in influencing the hospital status. Using a receiver operating characteristic (ROC) curve, the predictive power (0.757) of . Kaplan-Meier survival analysis offered further insight that patients with an elevated abundance of experienced prolonged hospital stays.
Combining MR with nested case-control studies provided a detailed characterization of interactions between gut microbiota and AP. was identified as a significant contributor, suggesting its role as both a precursor and consequence of AP dynamics. The findings highlight the multifactorial nature of AP and its complex relationship with the gut microbiota. This study lays the groundwork for future therapeutic interventions targeting microbial dynamics in AP treatment.
肠道微生物群可能影响急性胰腺炎（AP）的发展，急性胰腺炎是一种发病率和死亡率都很高的严重胃肠道疾病。本研究旨在通过调查肠道微生物群与急性胰腺炎之间的关系来确定因果联系。
采用孟德尔随机化（MR）和巢式病例对照研究来探讨肠道微生物群组成与急性胰腺炎之间的关联。应用16S rRNA测序、随机森林建模（RF）、支持向量机（SVM）和Kaplan-Meier生存分析来确定急性胰腺炎患者中重要的肠道微生物群及其与住院时间的相关性。
双向MR结果证实了特定肠道微生物群与急性胰腺炎之间的因果联系（分别通过正向和反向MR鉴定出15个和8个微生物分类群）。16S rRNA测序分析表明，病例组和对照组的肠道微生物群组成存在显著差异。值得注意的是，在对RF和SVM的结果进行全面评估后，发现（此处原文缺失具体内容）在影响病情方面发挥了重要作用。使用受试者工作特征（ROC）曲线，（此处原文缺失具体内容）的预测能力为0.757。Kaplan-Meier生存分析进一步表明，（此处原文缺失具体内容）丰度升高的患者住院时间延长。
将MR与巢式病例对照研究相结合，详细描述了肠道微生物群与急性胰腺炎之间的相互作用。（此处原文缺失具体内容）被确定为一个重要因素，表明其在急性胰腺炎病程中既是先兆又是结果。这些发现突出了急性胰腺炎的多因素性质及其与肠道微生物群的复杂关系。本研究为未来针对急性胰腺炎治疗中微生物动态变化的治疗干预奠定了基础。
