Chen Chen1, Huichu Li1, Yue Niu1, Cong Liu1, Zhijing Lin1, Jing Cai1, Weihua Li2, Wenzhen Ge3, Renjie Chen4, Haidong Kan5. 1. School of Public Health, Key Lab of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China; NHC Key Lab of Health Technology Assessment, Ministry of Health, Fudan University, Shanghai 200032, China. 2. Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research, Institute of Reproduction and Development, Fudan University, Shanghai 200032, China. 3. Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown NY10605, United States. 4. School of Public Health, Key Lab of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China. Electronic address: chenrenjie@fudan.edu.cn. 5. School of Public Health, Key Lab of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China; Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research, Institute of Reproduction and Development, Fudan University, Shanghai 200032, China. Electronic address: kanh@fudan.edu.cn.
Abstract
BACKGROUND: Metabolomics is a novel tool to explore the biological mechanisms of the health effects of fine particulate matter (PM2.5) air pollution. Very few studies have examined the urinary metabolomic changes associated with PM2.5 exposure. OBJECTIVE: To assess the alternation in urine metabolomics in response to short-term PM2.5 exposure. METHODS: We conducted a randomized, double-blind, crossover trial of 9-day real or sham indoor air purification among 45 healthy college students in Shanghai, China. Urine samples were collected immediately at the end of each intervention stage and were analyzed for metabolomics using ultrahigh performance liquid chromatography-mass spectrometry. Orthogonal partial least square-discriminant analysis and linear mixed effect models were used to examine metabolomic changes between interventional scenarios and their associations with continuous PM2.5 exposure. RESULTS: The time-weighted average personal PM2.5 exposure in the real-purified scenario was 50% lower than in the sham-purified air scenario (28.3 μg/m3 VS 56.9 μg/m3). A total of 40 differentiated urinary metabolites at a false discovery rate <0.05 were identified for the effects of both intervention and continuous PM2.5 exposure, including 16 lipids, 5 purine metabolites, 2 neurotransmitters, and 3 coenzymes. CONCLUSIONS: This real-world randomized crossover trial demonstrated that short-term PM2.5 exposure could result in significant changes in urinary metabolomic profile, which may further lead to perturbation in energy metabolism, oxidative stress and inflammation.
RCT Entities:
BACKGROUND: Metabolomics is a novel tool to explore the biological mechanisms of the health effects of fine particulate matter (PM2.5) air pollution. Very few studies have examined the urinary metabolomic changes associated with PM2.5 exposure. OBJECTIVE: To assess the alternation in urine metabolomics in response to short-term PM2.5 exposure. METHODS: We conducted a randomized, double-blind, crossover trial of 9-day real or sham indoor air purification among 45 healthy college students in Shanghai, China. Urine samples were collected immediately at the end of each intervention stage and were analyzed for metabolomics using ultrahigh performance liquid chromatography-mass spectrometry. Orthogonal partial least square-discriminant analysis and linear mixed effect models were used to examine metabolomic changes between interventional scenarios and their associations with continuous PM2.5 exposure. RESULTS: The time-weighted average personal PM2.5 exposure in the real-purified scenario was 50% lower than in the sham-purified air scenario (28.3 μg/m3 VS 56.9 μg/m3). A total of 40 differentiated urinary metabolites at a false discovery rate <0.05 were identified for the effects of both intervention and continuous PM2.5 exposure, including 16 lipids, 5 purine metabolites, 2 neurotransmitters, and 3 coenzymes. CONCLUSIONS: This real-world randomized crossover trial demonstrated that short-term PM2.5 exposure could result in significant changes in urinary metabolomic profile, which may further lead to perturbation in energy metabolism, oxidative stress and inflammation.
Authors: Beate Ritz; Qi Yan; Di He; Jun Wu; Douglas I Walker; Karan Uppal; Dean P Jones; Julia E Heck Journal: Environ Res Date: 2021-08-19 Impact factor: 6.498
Authors: Feiby L Nassan; Cuicui Wang; Rachel S Kelly; Jessica A Lasky-Su; Pantel S Vokonas; Petros Koutrakis; Joel D Schwartz Journal: Environ Int Date: 2021-02-24 Impact factor: 13.352
Authors: Feiby L Nassan; Rachel S Kelly; Anna Kosheleva; Petros Koutrakis; Pantel S Vokonas; Jessica A Lasky-Su; Joel D Schwartz Journal: Environ Health Date: 2021-01-07 Impact factor: 5.984
Authors: Zhenjiang Li; Donghai Liang; Dongni Ye; Howard H Chang; Thomas R Ziegler; Dean P Jones; Stefanie T Ebelt Journal: Environ Res Date: 2020-11-24 Impact factor: 6.498
Authors: Feiby L Nassan; Rachel S Kelly; Petros Koutrakis; Pantel S Vokonas; Jessica A Lasky-Su; Joel D Schwartz Journal: Environ Res Date: 2021-06-24 Impact factor: 8.431