Development of an Index Score for Intestinal Inflammation-Associated Dysbiosis Using Real-World Stool Test Results.

ABSTRACT:

Background

Gut microbiota play an important role in human health. However, the application of gut microbiome in regular clinical practice is limited by interindividual variations and complexity of test results.

Hypothesis

It is possible to address interindividual variation by using large data-based exploratory-pattern analysis.

Methods

The current study was conducted using a large data set (n = 173,221) of nonselective incoming patients' test results from a stool test. The data set included assays for the detection of 24 selected commensal microorganisms and multiple biomarkers in feces. Patients were grouped based on their levels of inflammation biomarkers such as calprotectin, eosinophil protein X, and IgA. Group mean values of biomarkers and commensal microbes were

SUBMITTER: Chen L 

PROVIDER: S-EPMC7069909 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature