Fecal Microbial Community Profiling Allows Discrimination of Phenweotype and Treatment Response in Pediatric Crohn's Disease and Ulcerative Colitis-An International Meta-Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F25%3A10499304" target="_blank" >RIV/00064203:_____/25:10499304 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11130/25:10499304

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=782NC_x0bi" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=782NC_x0bi</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/ibd/izaf135" target="_blank" >10.1093/ibd/izaf135</a>

Result language

angličtina

Original language name

Fecal Microbial Community Profiling Allows Discrimination of Phenweotype and Treatment Response in Pediatric Crohn's Disease and Ulcerative Colitis-An International Meta-Analysis

Original language description

BACKGROUND AND AIMS: The pathophysiology of pediatric inflammatory bowel disease (PIBD), encompassing Crohn&apos;s disease (CD) and ulcerative colitis (UC), is not entirely understood. Dysregulation of the intestinal microbiome is recognized as both a disease-driving and a potential therapeutic target. This study aimed to systematically analyze gut microbiome compositions and its applicability as a biomarker for disease progress and treatment response. METHODS: Bibliographic and nucleotide databases were searched. Raw 16S-rRNA sequencing reads were subjected to a uniform downstream dada2/phyloseq pipeline to extract taxonomy, community structure, and abundance information. Patient metadata were extracted from publications, and study authors were contacted for further details if required. RESULTS: Twenty-six studies comprising 3956 stool samples (CD 41%, UC 36%, 23% healthy) were included in the analyses. Median age of individuals was 12 (interquartile range 4). Sex distribution was comparable. Alpha diversity was reduced between the healthy and both UC and CD treatment-naïve groups (P &lt; .001) and further reduced with increasing clinical disease activity. Beta diversity revealed altered community structure in treatment-naïve children with PIBD (P &lt; .001). This alteration remained in patients in clinical remission (P &lt; .001). Machine learning models discriminated between treatment-naïve patients with CD or UC with an area under the receiver operating characteristics curve (AUROC) of 98%. Microbial communities differed between patient responders versus nonresponders to treatment (P &lt; .001). Further, microbial community profiling distinguished treatment response (eg, steroid, nutrition, or TNFα) with AUROCs of 82%-90%. CONCLUSIONS: Gut microbial community structure is substantially altered in active and inactive PIBD and may be utilized as a biomarker for differentiating PIBD subtype and predicting treatment response.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30303 - Infectious Diseases

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Inflammatory Bowel Diseases

ISSN

1078-0998

e-ISSN

1536-4844

Volume of the periodical

31

Issue of the periodical within the volume

9

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

2338-2351

UT code for WoS article

001519327300001

EID of the result in the Scopus database

2-s2.0-105016859499