Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease
The result's identifiers
Result code in 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>
Alternative codes found
RIV/00216208:11130/24:10488489
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease
Original language description
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'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's potential to guide precision therapy for PIBD.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30303 - Infectious Diseases
Result continuities
Project
<a href="/en/project/LX22NPO5103" target="_blank" >LX22NPO5103: National Institute of Virology and Bacteriology</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
iScience
ISSN
2589-0042
e-ISSN
2589-0042
Volume of the periodical
27
Issue of the periodical within the volume
12
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
20
Pages from-to
111442
UT code for WoS article
001372456800001
EID of the result in the Scopus database
2-s2.0-85210763009