CHDWB human plasma exposomics analysis - 1
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ABSTRACT: We analyzed 80 archival samples from individuals (57 females, 23 males; aged 41 to 68 y) without known disease or occupational or environmental exposures of concern as a pilot to test the utility of XLE in large-scale human biomonitoring studies. Using a requirement for at least 3 co-eluting accurate mass m/z features ( 5 ppm) within 30 s of database retention time, we identified 49 chemicals belonging to various environmental chemical classes. An unsupervised 2-way hierarchical cluster analysis (HCA) of log transformed intensity showed clustering according to chemical class. In particular, persistent chemicals were highly correlated with each other (all raw P < 0.001), including p,p’-DDE, PCBs 153, 180, 138, 118 and 74, PBDE-47, hexachlorobenzene (HCB) and trans-nonachlor. Results showed a general increase of chemical levels with increasing age quartiles (Q3 and Q4 : 53 to 68 versus Q1 and Q2: 41 to 52) using unsupervised clustering, a trend particularly evident for the cluster of p,p’-DDE, PCBs 153, 180, 138, 118 and 74, PBDE-47, HCB and trans-nonachlor. Examination of data according to body mass index (BMI) showed that individuals with BMI ≥ 40 had lower levels of environmental chemicals, which may be attributed to high lipophilicity and propensity to distribute in adipose tissue versus plasma. Quantification with reference standardization showed that use of two SRM samples with differing environmental chemical concentrations can overcome variable batch effects in quantification for large-scale studies. Examples of the most frequently detected chemicals shows that overall distributions were positively skewed by a small subset of individuals with high concentrations.
ORGANISM(S): Human Homo Sapiens
TISSUE(S): Blood
SUBMITTER: Xin Hu
PROVIDER: ST001801 | MetabolomicsWorkbench | Thu May 06 00:00:00 BST 2021
REPOSITORIES: MetabolomicsWorkbench
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