Identification of Real-Life Mixtures Using Human Biomonitoring Data: A Proof of Concept Study.

ABSTRACT: Human health risk assessment of chemical mixtures is complex due to the almost infinite number of possible combinations of chemicals to which people are exposed to on a daily basis. Human biomonitoring (HBM) approaches can provide inter alia information on the chemicals that are in our body at one point in time. Network analysis applied to such data may provide insight into real-life mixtures by visualizing chemical exposure patterns. The identification of groups of more densely correlated biomarkers, so-called "communities", within these networks highlights which combination of substances should be considered in terms of real-life mixtures to which a population is exposed. We applied network analyses to HBM datasets from Belgium, Czech Republic, Germany, and Spain, with the aim to explore

SUBMITTER: Rodriguez Martin L 

PROVIDER: S-EPMC10058482 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature