Explore key genes of Crohn’s disease based on glycerophospholipid metabolism: A comprehensive analysis Utilizing Mendelian Randomization, Multi-Omics integration, Machine Learning, and SHAP methodology-Reference-Cited by-同舟云学术

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Explore key genes of Crohn’s disease based on glycerophospholipid metabolism: A comprehensive analysis Utilizing Mendelian Randomization, Multi-Omics integration, Machine Learning, and SHAP methodology

Published:2024-11 Issue: Volume:141 Page:112905
ISSN:1567-5769
Container-title:International Immunopharmacology
language:en
Short-container-title:International Immunopharmacology

Author:

Chen Changan,Quan Juanhua,Chen Xintian,Yang Tingmei,Yu Caiyuan,Ye Shicai,Yang Yuping,Wu Xiu,Jiang Danxian,Weng Yijie

Publisher

Elsevier BV

Reference111 articles.

1. Crohn's disease;Giulia;Nat. Rev. Dis. Primers,2020

2. Crohn's disease;Joana;Lancet,2016

3. Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies;Siew Ng;Lancet,2017

4. A novel serum metabolomic panel for the diagnosis of crohn's disease;Ruiqi;Inflamm. Bowel Dis.,2023

5. Short chain fatty acids (SCFAs)-mediated gut epithelial and immune regulation and its relevance for inflammatory bowel diseases;Daniela;Front. Immunol.,2019

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