Whole Metagenomic Profiling Identifies a Gut Microbial Signature for Chronic Pancreatitis via Machine Learning.

ABSTRACT:

Background

Pancreatitis significantly alters the microbial composition of the oral and intestinal compartments, causing dysbiosis that may contribute to disease mechanisms and potentially serve as a basis for diagnosis or treatment.

Objective

To determine whether the oral or gut microbial signature can classify chronic pancreatitis (CP).

Methods

Stool samples (n=707) were collected from participants in the Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies (PROCEED). Samples were distributed among 200 healthy (HC), 310 CP, 49 acute pancreatitis (AP), and 148 recurrent acute pancreatitis (RAP). In addition, saliva samples were collected for a subset of participants (n=156). Whole genome sequencing was performed to assess microbio

SUBMITTER: Bartelli TF 

PROVIDER: S-EPMC13644328 | biostudies-literature | 2026 May-Jun 01

REPOSITORIES: biostudies-literature