Air pollution interacts with genetic risk to influence cortical networks implicated in depression

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...

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Published in:	Proceedings of the National Academy of Sciences - PNAS Vol. 118; no. 46
Main Authors:	Li, Zhi, Yan, Hao, Zhang, Xiao, Shah, Shefali, Yang, Guang, Chen, Qiang, Han, Shizhong, Zhang, Dai, Weinberger, Daniel R, Yue, Weihua, Tan, Hao Yang
Format:	Journal Article
Language:	English
Published:	United States 16.11.2021
Subjects:	Adult Air Pollutants - adverse effects Air Pollution - adverse effects Anxiety - chemically induced Brain - drug effects Depression - chemically induced Environmental Exposure - adverse effects Humans Particulate Matter - adverse effects Risk Factors gene–environment interaction fine particulate matter major depressive disorder PM2.5 polygenic risk
ISSN:	1091-6490, 1091-6490
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Summary:	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 (PM ) exposure influences putative genetic risk mechanisms associated with depression. Increased ambient PM 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 PM 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 PM , but not from those with lower genetic risk or lower exposures, correlated spatially with the coexpression of depression-associated genes across corresponding brain regions in the Allen Brain Atlas. These converging data suggest that PM exposure affects brain network functions implicated in the genetic mechanisms of depression.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1091-6490 1091-6490
DOI:	10.1073/pnas.2109310118