Junho Lee, Shin Ju Oh, Eunji Ha, Ga Young Shin, Hyo Jong Kim, Kwangwoo Kim, Chang Kyun Lee
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Gut microbial and human genetic signatures of inflammatory bowel disease increase risk of comorbid mental disorders.
The high prevalence of comorbid mental disorders (CMDs) in patients with inflammatory bowel disease (IBD) is well-documented. This study delves into the intricate CMD-IBD relationship through comprehensive analyses using human variants, gut microbiome, and anxiety/depression estimates from a cohort of 507 IBD patients and 75 controls. Notably, patients with IBD, especially those with CMD, exhibited lower diversity than controls. We identified 106 differentially abundant taxa (DATs) in IBD patients compared to controls and 21 DATs distinguishing CMD-affected from CMD-free IBD patients. Microbial IBD-risk scores, reflecting an individual's microbial burden for IBD, revealed a significant enrichment of IBD-risk signatures in CMD-affected patients compared to CMD-free patients. Additionally, there was an IBD-risk variant potentially regulating the abundance of an IBD/CMD-associated DAT, suggesting an interplay between IBD-risk variants and dysbiosis in CMD. Our investigation underscores the pivotal role of IBD-associated gut dysbiosis in predisposing IBD patients to CMD, partially through genetic variant-mediated mechanisms.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.