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Gut microbiota predicts severity and reveals novel metabolic signatures in acute pancreatitis

微生物群 急性胰腺炎 内科学 医学 胰腺炎 全身炎症反应综合征 疾病严重程度 胃肠病学 生物 生物信息学 败血症
作者
Christoph Ammer‐Herrmenau,Kai Antweiler,Thomas Asendorf,Georg Beyer,S Buchholz,Silke Cameron,Gabriele Capurso,Marko Damm,Linh C. Dang,Fabian Frost,António Gomes,Jacob Hamm,Robert Henker,Albrecht Hoffmeister,Christian Meinhardt,Łukasz Nawacki,Vítor Nunes,Arpád Panyko,Cesareo Pardo,Veit Phillip,Aldis Puķītis,Sebastian Rasch,Diana Riekstina,Ecaterina Rînja,María Lourdes Ruiz-Rebollo,Simon Sirtl,Mark Weingarten,Vasile Șandru,Julia Woitalla,Volker Ellenrieder,Albrecht Neeße
出处
期刊:Gut [BMJ]
卷期号:: gutjnl-330987 被引量:13
标识
DOI:10.1136/gutjnl-2023-330987
摘要

Objective Early disease prediction is challenging in acute pancreatitis (AP). Here, we prospectively investigate whether the microbiome predicts severity of AP (Pancreatitis—Microbiome As Predictor of Severity; P-MAPS) early at hospital admission. Design Buccal and rectal microbial swabs were collected from 424 patients with AP within 72 hours of hospital admission in 15 European centres. All samples were sequenced by full-length 16S rRNA and metagenomic sequencing using Oxford Nanopore Technologies. Primary endpoint was the association of the orointestinal microbiome with the revised Atlanta classification (RAC). Secondary endpoints were mortality, length of hospital stay and severity (organ failure >48 hours and/or occurrence of pancreatic collections requiring intervention) as post hoc analysis. Multivariate analysis was conducted from normalised microbial and corresponding clinical data to build classifiers for predicting severity. For functional profiling, gene set enrichment analysis (GSEA) was performed and normalised enrichment scores calculated. Results After data processing, 411 buccal and 391 rectal samples were analysed. The intestinal microbiome significantly differed for the RAC (Bray-Curtis, p value=0.009), mortality (Bray-Curtis, p value 0.006), length of hospital stay (Bray-Curtis, p=0.009) and severity (Bray-Curtis, p value=0.008). A classifier for severity with 16 different species and systemic inflammatory response syndrome achieved an area under the receiving operating characteristic (AUROC) of 85%, a positive predictive value of 67% and a negative predictive value of 94% outperforming established severity scores. GSEA revealed functional pathway units suggesting elevated short-chain fatty acid (SCFA) production in severe AP. Conclusions The orointestinal microbiome predicts clinical hallmark features of AP, and SCFAs may be used for future diagnostic and therapeutic concepts. Trial registration number NCT04777812 .
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