暴露的
医学
生物
疾病
计算生物学
生物信息学
遗传学
内科学
作者
Tess V. Dupre,Rick G. Schnellmann,Gary W. Miller
标识
DOI:10.1038/s41581-020-0302-9
摘要
New exposome-based approaches permit omic-scale characterization of the non-genetic contributors to kidney disease. High-resolution mass spectrometry analysis of plasma and urine samples captures a wide range of exogenous and endogenous metabolites that can be used in combination with genetic risk factors to identify new biomarkers of exposure and therapeutic approaches.
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