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DOI | 10.1073/pnas.2109310118 |
Air pollution interacts with genetic risk to influence cortical networks implicated in depression | |
Li Z.; Yan H.; Zhang X.; Shah S.; Yang G.; Chen Q.; Han S.; Zhang D.; Weinberger D.R.; Yue W.; Tan H.Y. | |
发表日期 | 2021 |
ISSN | 0027-8424 |
卷号 | 118期号:46 |
英文摘要 | Air pollution is a reversible cause of significant global mortality and morbidity. Epidemiological evidence suggests associations between air pollution exposure and impaired cognition and increased risk for major depressive disorders. However, the neural bases of these associations have been unclear. Here, in healthy human subjects exposed to relatively high air pollution and controlling for socioeconomic, genomic, and other confounders, we examine across multiple levels of brain network function the extent to which particulate matter (PM2.5) exposure influences putative genetic risk mechanisms associated with depression. Increased ambient PM2.5 exposure was associated with poorer reasoning and problem solving and higher-trait anxiety/depression. Working memory and stress-related information transfer (effective connectivity) across cortical and subcortical brain networks were influenced by PM2.5 exposure to differing extents depending on the polygenic risk for depression in gene-by-environment interactions. Effective connectivity patterns from individuals with higher polygenic risk for depression and higher exposures with PM2.5, but not from those with lower genetic risk or lower exposures, correlated spatially with the coexpression of depressionassociated genes across corresponding brain regions in the Allen Brain Atlas. These converging data suggest that PM2.5 exposure affects brain network functions implicated in the genetic mechanisms of depression. © 2021 National Academy of Sciences. All rights reserved. |
英文关键词 | Fine particulate matter; Gene-environment interaction; Maor depressive disorder; PM2.5; Polygenic risk |
语种 | 英语 |
来源期刊 | Proceedings of the National Academy of Sciences of the United States of America |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/238755 |
作者单位 | Lieber Institute for Brain Development, Baltimore, MD 21205, United States; Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China; NHC Key Laboratory of Mental Health, Peking University, Beijing, 100191, China; National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, 100191, China; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States; Tsinghua University-Peking University, Joint Center for Life Sciences, Beijing, 100871, China; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China; Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD 21205, United States; Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, United States |
推荐引用方式 GB/T 7714 | Li Z.,Yan H.,Zhang X.,et al. Air pollution interacts with genetic risk to influence cortical networks implicated in depression[J],2021,118(46). |
APA | Li Z..,Yan H..,Zhang X..,Shah S..,Yang G..,...&Tan H.Y..(2021).Air pollution interacts with genetic risk to influence cortical networks implicated in depression.Proceedings of the National Academy of Sciences of the United States of America,118(46). |
MLA | Li Z.,et al."Air pollution interacts with genetic risk to influence cortical networks implicated in depression".Proceedings of the National Academy of Sciences of the United States of America 118.46(2021). |
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