Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis
dc.contributor.author | Kulecka, Maria | en |
dc.contributor.author | O'Sullivan, Jill | en |
dc.contributor.author | Fitzgerald, Rachel | en |
dc.contributor.author | Velikonja, Ana | en |
dc.contributor.author | Huseyin, Chloe E. | en |
dc.contributor.author | Laserna-Mendieta, Emilio J. | en |
dc.contributor.author | Ruiz-Limón, Patricia | en |
dc.contributor.author | Eckenberger, Julia | en |
dc.contributor.author | Vidal-Marin, Miriam | en |
dc.contributor.author | Truppel, Bastian-Alexander | en |
dc.contributor.author | Singh, Raminder | en |
dc.contributor.author | Naik, Sandhia | en |
dc.contributor.author | Croft, Nicholas M. | en |
dc.contributor.author | Temko, Andriy | en |
dc.contributor.author | Zomer, Aldert | en |
dc.contributor.author | Melgar, Silvia | en |
dc.contributor.author | Deb, Protima | en |
dc.contributor.author | Sanderson, Ian R. | en |
dc.contributor.author | Claesson, Marcus J. | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | Crohn’s and Colitis Foundation Litwin IBD Pioneers program | en |
dc.contributor.funder | European Commission | en |
dc.contributor.funder | Instituto de Salud Carlos III | en |
dc.date.accessioned | 2025-07-24T14:11:25Z | |
dc.date.available | 2025-07-24T14:11:25Z | |
dc.date.issued | 2025 | en |
dc.description.abstract | Current first-line treatments of paediatric ulcerative colitis (UC) maintain 6-month remission in only half of the patients. Relapse-prediction at diagnosis could enable earlier introduction of immunosuppressants. We collected intestinal biopsies from 56 treatment-naïve children, combining mucosal quantitative microbial profiling with host epigenomics, transcriptomics and genotyping, and in vitro and in vivo experiments on selected bacteria. Baseline bacterial diversity was lower in relapsing children, who had fewer butyrate-producers but more oral-associated bacteria, whereof Veilonella parvula induced inflammation in epithelial cell lines and IL10-/- mice. Microbiota had the strongest association with future relapse, followed by epigenome and transcriptome. Relapse-prediction from separate omics data was outperformed by a robust machine learning approach combining microbiomes and epigenomes. In summary, combinatory machine learning of host-microbe data, especially microbiome and epigenome, had prognostic potential in paediatric UC. Our translational findings also suggest that pro-inflammatory oral-associated colonizers can exploit reduced colonic bacterial diversity of relapsing children. | en |
dc.description.sponsorship | Crohn’s and Colitis Foundation Litwin IBD Pioneers program (Grant no. 510264) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Submitted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Kulecka, M., O'Sullivan, J., Fitzgerald, R., Velikonja, A., Huseyin, C. E., Laserna-Mendieta, E. J., Ruiz-Limón, P., Eckenberger, J., Vidal-Marin, M., Truppel, B-A., Singh, R., Naik, S., Croft, N. M., Temko, A., Zomer, A., Melgar, S., Deb, P., Sanderson, I. R. and Claesson, M. J. (2025) 'Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis', Nature Communications, (40 pp). | en |
dc.identifier.eissn | 2041-1723 | en |
dc.identifier.journaltitle | Nature Communications | en |
dc.identifier.uri | https://hdl.handle.net/10468/17755 | |
dc.language.iso | en | en |
dc.publisher | Nature Publishing Group | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/Research Centres Programme::Phase 2/12/RC/2273_P2/IE/APC_Phase 2/ | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/Career Development Award/17/CDA/4765/IE/A translational ‘omics’ approach for predicting treatment outcome in newly-diagnosed children with ulcerative colitis/ | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/Centres for Research Training (CRT) Programme/18/CRT/6214/IE/SFI Centre for Research Training in Genomics Data Science/ | en |
dc.relation.project | info:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/101034270/EU/INnovative Sustainable Development InterdisciPlinary Post-Doctoral Research Excellence/INSPIRE | en |
dc.rights | © the Authors 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Paediatric ulcerative colitis | en |
dc.subject | Microbiome | en |
dc.subject | Machine learning | en |
dc.subject | Multi-omics | en |
dc.subject | Treatment failure | en |
dc.subject | Treatment outcome | en |
dc.title | Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis | en |
dc.type | Article (peer-reviewed) | en |
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