Abstract
We investigated whether exposure to carcinogenic diesel engine exhaust (DEE) was associated with altered adduct levels in human serum albumin (HSA) residues. Nano-liquid chromatography-high resolution mass spectrometry (nLC-HRMS) was used to measure adducts of Cys34 and Lys525 residues in plasma samples from 54 diesel engine factory workers and 55 unexposed controls. An untargeted adductomics and bioinformatics pipeline was used to find signatures of Cys34/Lys525 adductome modifications. To identify adducts that were altered between DEE-exposed and unexposed participants, we used an ensemble feature selection approach that ranks and combines findings from linear regression and penalized logistic regression, then aggregates the important findings with those determined by random forest. We detected 40 Cys34 and 9 Lys525 adducts. Among these findings, we found evidence that 6 Cys34 adducts were altered between DEE-exposed and unexposed participants (i.e., 841.75, 851.76, 856.10, 860.77, 870.43, and 913.45). These adducts were biologically related to antioxidant activity.
Original language | English |
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Article number | 103966 |
Journal | Environmental Toxicology and Pharmacology |
Volume | 95 |
Early online date | 5 Sept 2022 |
DOIs | |
Publication status | Published - Oct 2022 |
Bibliographical note
Funding Information:This work was supported by intramural funding from the National Cancer Institute , as well as grant P42ES04705 from the National Institute for Environmental Health Sciences (to SMR).
Publisher Copyright:
© 2022
Keywords
- Adductomics
- Biomarkers
- Cys34 adductome
- Diesel engine exhaust
- Environmental epidemiology
- Machine learning