Gut Microbiota Analyses of Inflammatory Bowel Diseases from a representative Saudi Population
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/ERP142315
下载链接
链接失效反馈官方服务:
资源简介:
Background Crohn's disease and ulcerative colitis are chronic immune-mediated disorders of the gastrointestinal tract are major contributors to the overarching Inflammatory bowel diseases. It has become increasingly evident that the pathological processes of IBDs results from interactions between genetic and environmental factors, which can skew immune responses against normal intestinal flora. Methods The aim of this study is to assess and analyze the taxa diversity and relative abundances in CD and UC in the Saudi population. We utilized a sequencing strategy that targets all variable regions in the 16S rRNA gene using the Swift Amplicon 16S rRNA Panel on Illumina NovaSeq 6000. Results The composition of stool 16S rRNA was analyzed from 219 patients with inflammatory bowel disease and from 124 healthy controls. We quantified the abundance of microbial communities to examine any significant differences between subpopulations of samples. At the genus level, two genera in particular, Veillonella and Lachnoclostridium showed significant association with CD versus controls. There were significant differences between subjects with CD versus UC, with the top differential genera spanning Akkermansia, Harryflintia, Maegamonas and Phascolarctobacterium. Furthermore, significant diversity in microbiome composition was observe within the UC and CD groups. Conclusions In conclusion, we have shown that there are significant differences in gut microbiota between UC, CD and controls in a Saudi Arabian inflammatory bowel disease cohort. Moreover, we have shown that there are key differences in gut microbiota between this study and previous studies of larger Western populations. This reinforces the need for further studies in large populations that are ethnically and geographically diverse. In addition, our results show the potential to develop classifiers that may have add additional richness of context to clinical diagnosis of UC and CD with larger inflammatory bowel disease cohorts.
创建时间:
2022-12-15



