Decoding the matrix: multiomics reveals host-microbe biomarker for inflammatory bowel disease.
Decoding the matrix: multiomics reveals host-microbe biomarker for inflammatory bowel disease.
复制标题
解码矩阵：多组学揭示炎症性肠病的宿主微生物生物标志物。
DOI：
10.1172/jci148902
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Longman,RandyS
中科院分区：
文献类型：
--
作者：
Viladomiu,Monica;Longman,RandyS
Inflammatory bowel disease (IBD) is a chronic inflammatory disease of the intestine associated with genetic susceptibility and alterations in the intestinal microbiome. Multiomics data developed and analyzed over the last several decades have yielded an unprecedented amount of genetic and microbial data. But how do we pinpoint mechanistic insight into the host-microbe relationship that will ultimately enable better care for patients with IBD? In this issue of theJCI, Grasberger et al. undertook a major decoding effort to decipher this multiomic data matrix. The authors analyzed anonymized data from more than 2800 individuals to discover a link between heterozygous carriers of deleteriousDUOX2variants and high levels of plasma IL-17C. These findings provide an example of how harnessing big data can drive mechanistic discovery to define disease biomarkers that have the potential to improve clinical care in IBD.
