Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin

Jason Y.Y. Wong; Partow Imani; Hasmik Grigoryan; Bryan A. Bassig; Yufei Dai; Wei Hu; Batel Blechter; Mohammad L. Rahman; Bu Tian Ji; Huawei Duan; Yong Niu; Meng Ye; Xiaowei Jia; Tao Meng; Ping Bin; George Downward; Kees Meliefste; Shuguang Leng; Wei Fu; Jufang Yang; Dianzhi Ren; Jun Xu; Baosen Zhou; H. Dean Hosgood; Roel Vermeulen; Yuxin Zheng; Debra T. Silverman; Nathaniel Rothman; Stephen M. Rappaport; Qing Lan

doi:10.1016/j.etap.2022.103966

Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin

Jason Y.Y. Wong, Partow Imani, Hasmik Grigoryan, Bryan A. Bassig, Yufei Dai, Wei Hu, Batel Blechter, Mohammad L. Rahman, Bu Tian Ji, Huawei Duan, Yong Niu, Meng Ye, Xiaowei Jia, Tao Meng, Ping Bin, George Downward, Kees Meliefste, Shuguang Leng, Wei Fu, Jufang YangDianzhi Ren, Jun Xu, Baosen Zhou, H. Dean Hosgood, Roel Vermeulen, Yuxin Zheng, Debra T. Silverman, Nathaniel Rothman, Stephen M. Rappaport, Qing Lan

Epidemiology & Population Health

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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 (US)
Article number	103966
Journal	Environmental Toxicology and Pharmacology
Volume	95
DOIs	https://doi.org/10.1016/j.etap.2022.103966
State	Published - Oct 2022

Keywords

Adductomics
Biomarkers
Cys34 adductome
Diesel engine exhaust
Environmental epidemiology
Machine learning

ASJC Scopus subject areas

Toxicology
Pharmacology
Health, Toxicology and Mutagenesis

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Wong, J. Y. Y., Imani, P., Grigoryan, H., Bassig, B. A., Dai, Y., Hu, W., Blechter, B., Rahman, M. L., Ji, B. T., Duan, H., Niu, Y., Ye, M., Jia, X., Meng, T., Bin, P., Downward, G., Meliefste, K., Leng, S., Fu, W., ... Lan, Q. (2022). Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin. Environmental Toxicology and Pharmacology, 95, Article 103966. https://doi.org/10.1016/j.etap.2022.103966

Wong, JYY, Imani, P, Grigoryan, H, Bassig, BA, Dai, Y, Hu, W, Blechter, B, Rahman, ML, Ji, BT, Duan, H, Niu, Y, Ye, M, Jia, X, Meng, T, Bin, P, Downward, G, Meliefste, K, Leng, S, Fu, W, Yang, J, Ren, D, Xu, J, Zhou, B, Hosgood, HD, Vermeulen, R, Zheng, Y, Silverman, DT, Rothman, N, Rappaport, SM & Lan, Q 2022, 'Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin', Environmental Toxicology and Pharmacology, vol. 95, 103966. https://doi.org/10.1016/j.etap.2022.103966

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title = "Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin",

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.",

keywords = "Adductomics, Biomarkers, Cys34 adductome, Diesel engine exhaust, Environmental epidemiology, Machine learning",

author = "Wong, {Jason Y.Y.} and Partow Imani and Hasmik Grigoryan and Bassig, {Bryan A.} and Yufei Dai and Wei Hu and Batel Blechter and Rahman, {Mohammad L.} and Ji, {Bu Tian} and Huawei Duan and Yong Niu and Meng Ye and Xiaowei Jia and Tao Meng and Ping Bin and George Downward and Kees Meliefste and Shuguang Leng and Wei Fu and Jufang Yang and Dianzhi Ren and Jun Xu and Baosen Zhou and Hosgood, {H. Dean} and Roel Vermeulen and Yuxin Zheng and Silverman, {Debra T.} and Nathaniel Rothman and Rappaport, {Stephen M.} and Qing Lan",

note = "Publisher Copyright: {\textcopyright} 2022",

year = "2022",

month = oct,

doi = "10.1016/j.etap.2022.103966",

language = "English (US)",

volume = "95",

journal = "Environmental Toxicology and Pharmacology",

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T1 - Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin

AU - Wong, Jason Y.Y.

AU - Imani, Partow

AU - Grigoryan, Hasmik

AU - Bassig, Bryan A.

AU - Dai, Yufei

AU - Hu, Wei

AU - Blechter, Batel

AU - Rahman, Mohammad L.

AU - Ji, Bu Tian

AU - Duan, Huawei

AU - Niu, Yong

AU - Ye, Meng

AU - Jia, Xiaowei

AU - Meng, Tao

AU - Bin, Ping

AU - Downward, George

AU - Meliefste, Kees

AU - Leng, Shuguang

AU - Fu, Wei

AU - Yang, Jufang

AU - Ren, Dianzhi

AU - Xu, Jun

AU - Zhou, Baosen

AU - Hosgood, H. Dean

AU - Vermeulen, Roel

AU - Zheng, Yuxin

AU - Silverman, Debra T.

AU - Rothman, Nathaniel

AU - Rappaport, Stephen M.

AU - Lan, Qing

PY - 2022/10

Y1 - 2022/10

N2 - 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.

AB - 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.

KW - Adductomics

KW - Biomarkers

KW - Cys34 adductome

KW - Diesel engine exhaust

KW - Environmental epidemiology

KW - Machine learning

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AN - SCOPUS:85137402383

SN - 1382-6689

VL - 95

JO - Environmental Toxicology and Pharmacology

JF - Environmental Toxicology and Pharmacology

M1 - 103966

ER -

Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin

Abstract

Keywords

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