蛋白质组
基因组
组学
生物
炎症性肠病
微生物群
疾病
计算生物学
肠道菌群
生物信息学
免疫学
医学
遗传学
病理
基因
作者
Consuelo Sauceda,Charlie Bayne,Khadijeh Sudqi,Antonio González,Parambir S. Dulai,Rob Knight,David J. Gonzalez,Carlos Gutiérrez González
出处
期刊:Gut microbes
[Landes Bioscience]
日期:2022-12-11
卷期号:14 (1)
被引量:5
标识
DOI:10.1080/19490976.2022.2154092
摘要
Inflammatory Bowel Disease (IBD) is a chronic immune-mediated inflammatory disease of the gastrointestinal tract that is a growing public burden. Gut microbes and their interactions with hosts play a crucial role in disease pathogenesis and progression. These interactions are complex, spanning multiple physiological systems and data types, making comprehensive disease assessment difficult, and often overwhelming single-omic capabilities. Stool-based multi-omics is a promising approach for characterizing host-gut microbiome interactions using deep integration of technologies such as 16S rRNA sequencing, shotgun metagenomics, meta-transcriptomics, metabolomics, and metaproteomics. The wealth of information generated through multi-omic studies is poised to usher in advancements in IBD research and precision medicine. This review highlights historical and recent findings from stool-based muti-omic studies that have contributed to unraveling IBD's complexity. Finally, we discuss common pitfalls, issues, and limitations, and how future pipelines should address them to standardize multi-omics in IBD research and beyond.
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