Literature DB >> 35129943

Molecular Gatekeeper Discovery: Workflow for Linking Multiple Exposure Biomarkers to Metabolomics.

Miao Yu1, Susan L Teitelbaum1, Georgia Dolios1, Lam-Ha T Dang1, Peijun Tu1, Mary S Wolff1, Lauren M Petrick1.   

Abstract

The exposome reflects multiple exposures across the life-course that can affect health. Metabolomics can reveal the underlying molecular basis linking exposures to health conditions. Here, we explore the concept and general data analysis framework of "molecular gatekeepers"─key metabolites that link single or multiple exposure biomarkers with correlated clusters of endogenous metabolites─to inform health-relevant biological targets. We performed untargeted metabolomics on plasma from 152 adolescent girls participating in the Growing Up Healthy Study in New York City. We then performed network analysis to link metabolites to exposure biomarkers including five trace elements (Cd, Mn, Pb, Se, and Hg) and five perfluorinated chemicals (PFCs; n-PFOS, Sm-PFOS, n-PFOA, PFHxS, and PFNA). We found 144 molecular gatekeepers and annotated 22 of them. Lysophosphatidylcholine (16:0) and taurodeoxycholate were correlated with both n-PFOA and n-PFOS, suggesting a shared dysregulation from multiple xenobiotic exposures. Sphingomyelin (d18:2/14:0) was significantly associated with age at menarche; yet, no direct association was detected between any exposure biomarkers and age at menarche. Thus, molecular gatekeepers can also discover molecular linkages between exposure biomarkers and health outcomes that may otherwise be obscured by complex interactions in direct measurements.

Entities:  

Keywords:  exposome; metabolomics; mixtures; network analysis; perfluorinated chemicals; trace metals

Mesh:

Substances:

Year:  2022        PMID: 35129943      PMCID: PMC9164279          DOI: 10.1021/acs.est.1c04039

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   11.357


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  2 in total

1.  Molecular Gatekeeper Discovery: Workflow for Linking Multiple Exposure Biomarkers to Metabolomics.

Authors:  Miao Yu; Susan L Teitelbaum; Georgia Dolios; Lam-Ha T Dang; Peijun Tu; Mary S Wolff; Lauren M Petrick
Journal:  Environ Sci Technol       Date:  2022-02-07       Impact factor: 11.357

2.  AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications.

Authors:  Lauren M Petrick; Noam Shomron
Journal:  Cell Rep Phys Sci       Date:  2022-07-20
  2 in total

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