Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F24%3A10488489" target="_blank" >RIV/00064203:_____/24:10488489 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11130/24:10488489

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=PUD142j1r~" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=PUD142j1r~</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.isci.2024.111442" target="_blank" >10.1016/j.isci.2024.111442</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease

Popis výsledku v původním jazyce

Developing microbiome-based markers for pediatric inflammatory bowel disease (PIBD) is challenging. Here, we evaluated the diagnostic and prognostic potential of the gut microbiome in PIBD through a case-control study and cross-cohort analyses. In a Korean PIBD cohort (24 patients with PIBD, 43 controls), we observed that microbial diversity and composition shifted in patients with active PIBD versus controls and recovered at remission. We employed a differential abundance meta-analysis approach to identify microbial markers consistently associated with active inflammation and remission across seven PIBD cohorts from six countries (n = 1,670) including our dataset. Finally, we trained and tested various machine learning models for their ability to predict a patient&apos;s future remission based on baseline bacterial composition. An ensemble model trained with the amplicon sequence variants effectively predicted future remission of PIBD. This research highlights the gut microbiome&apos;s potential to guide precision therapy for PIBD.

Název v anglickém jazyce

Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease

Popis výsledku anglicky

Developing microbiome-based markers for pediatric inflammatory bowel disease (PIBD) is challenging. Here, we evaluated the diagnostic and prognostic potential of the gut microbiome in PIBD through a case-control study and cross-cohort analyses. In a Korean PIBD cohort (24 patients with PIBD, 43 controls), we observed that microbial diversity and composition shifted in patients with active PIBD versus controls and recovered at remission. We employed a differential abundance meta-analysis approach to identify microbial markers consistently associated with active inflammation and remission across seven PIBD cohorts from six countries (n = 1,670) including our dataset. Finally, we trained and tested various machine learning models for their ability to predict a patient&apos;s future remission based on baseline bacterial composition. An ensemble model trained with the amplicon sequence variants effectively predicted future remission of PIBD. This research highlights the gut microbiome&apos;s potential to guide precision therapy for PIBD.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30303 - Infectious Diseases

Projekt

<a href="/cs/project/LX22NPO5103" target="_blank" >LX22NPO5103: Národní institut virologie a bakteriologie</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

iScience

ISSN

2589-0042

e-ISSN

2589-0042

Svazek periodika

27

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

20

Strana od-do

111442

Kód UT WoS článku

001372456800001

EID výsledku v databázi Scopus

2-s2.0-85210763009