Acute Impact of Nonoptimal Ambient Temperatures on Plasma Levels of 3000 Proteins in Chinese Adults

Nonoptimal ambient temperatures (i.e., cold and heat) are leading environmental determinants of major diseases worldwide, but the underlying pathological mechanisms are still poorly understood. We used distributed-lag nonlinear models to examine the associations of cold (5<sup>th</sup> percentile: -2.1 °C) and heat (95<sup>th</sup> percentile: 29.5 °C) with 2923 plasma proteins in 3926 adults from 10 areas across China. Overall, 949 proteins were significantly (5% false discovery rate) associated with ambient temperature, including 387 (216/171 down/upregulated) with cold, 770 (656/114 down/upregulated) with heat, and 208 with both cold and heat. Above the median reference temperature (17.7 °C), the associations were largely linear, while below it, they were nonlinear with attenuation below 5 °C, potentially reflecting mediation by heating. Among the 949 proteins, >80% were also associated with systolic blood pressure and incident ischemic heart disease risk and enriched in relevant pathological pathways (e.g., inflammation, immunity, and platelet aggregation). Our study provided a novel atlas of plasma proteins associated with nonoptimal temperatures in Chinese adults.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-03-04
DOI
https://doi.org/10.1021/acs.est.4c13020
Citations
3
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
3.60

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article

Acute Impact of Nonoptimal Ambient Temperatures on Plasma Levels of 3000 Proteins in Chinese Adults

Yi Tong Guo, Haidong Kan, Xia Meng, Antonio Gasparrini et al.
3 citations
Environmental Science & Technology
Climate Change and Health Impacts
3.60
article

Acute Impact of Nonoptimal Ambient Temperatures on Plasma Levels of 3000 Proteins in Chinese Adults

Yi Tong Guo, Haidong Kan, Xia Meng, Antonio Gasparrini, Dianjianyi Sun, Ling Yang, Canqing Yu, Robert Clarke, Cong Liu, Pang Yao, Christiana Kartsonaki, Iona Y. Millwood, Ka Hung Chan, Baihan Wang, Hubert Lam, Jun Lv, Neil Wright, Huaidong Du, Yue Niu, Xi Xia, Xiaocao Tian, Kin‐Fai Ho, Liming Li, Zhengming Chen, Yiping Chen, Maxim Barnard, Junshi Chen, Mohsen Mazidi
article en
3 citations

Abstract

Nonoptimal ambient temperatures (i.e., cold and heat) are leading environmental determinants of major diseases worldwide, but the underlying pathological mechanisms are still poorly understood. We used distributed-lag nonlinear models to examine the associations of cold (5<sup>th</sup> percentile: -2.1 °C) and heat (95<sup>th</sup> percentile: 29.5 °C) with 2923 plasma proteins in 3926 adults from 10 areas across China. Overall, 949 proteins were significantly (5% false discovery rate) associated with ambient temperature, including 387 (216/171 down/upregulated) with cold, 770 (656/114 down/upregulated) with heat, and 208 with both cold and heat. Above the median reference temperature (17.7 °C), the associations were largely linear, while below it, they were nonlinear with attenuation below 5 °C, potentially reflecting mediation by heating. Among the 949 proteins, >80% were also associated with systolic blood pressure and incident ischemic heart disease risk and enriched in relevant pathological pathways (e.g., inflammation, immunity, and platelet aggregation). Our study provided a novel atlas of plasma proteins associated with nonoptimal temperatures in Chinese adults.

Environmental Science & TechnologyVol. 59(10)
Ministry of Education of the People's Republic of China (CN), Chinese University of Hong Kong (HK), University of Occupational and Environmental Health Japan (JP), Peking University (CN), Fudan University (CN), Royal Society of Tropical Medicine and Hygiene (GB), University of Oxford (GB), London School of Hygiene & Tropical Medicine (GB), Center for Children (US), Environment and Health Group (United States) (US), Nuffield Health (GB), Faculty of Public Health (GB), China National Center for Food Safety Risk Assessment (CN), Primary Health Care (QA), Qingdao Municipal Center for Disease Control and Prevention (CN), Children's Hospital of Fudan University (CN), Shaanxi University of Chinese Medicine (CN), Xi'an Jiaotong University (CN)
Cancer Research UK, British Heart Foundation, University of Oxford, National Natural Science Foundation of China, Kadoorie Charitable Foundation, Medical Research Council, National Key Research and Development Program of China
Openalex Percentile: Top 9%
Climate Change and Health Impacts
3.60
DOIOpen Access PDFOpenAlex
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