Causal relationship between PM2.5 exposure and population-level antidepressant medication use: A Mendelian randomization study using GWAS data from multi-biobank

Exposure to fine particulate matter (PM2.5) has been associated with an increased risk of depression; however, causal evidence regarding its influence on the clinical burden of depressive symptoms remains limited. In this study, we conducted a two-sample Mendelian randomization (MR) analysis to assess whether genetically predicted chronic PM2.5 exposure is causally associated with the likelihood of antidepressant medication use. Antidepressant use, as derived from national prescription registers, serves as an objective, treatment-based proxy likely indicative of greater symptom burden, capturing clinically managed depression at the population level. Genome-wide association study (GWAS) summary statistics were utilized, involving data on PM2.5 exposure (n = 423,796 European participants) and antidepressant medication usage (131,176 cases, 104,642 controls). Forty-eight single-nucleotide polymorphisms (SNPs) associated with PM2.5 exposure (p < 5 × 10^-6) were selected as instrumental variables. Primary analyses employed the inverse-variance weighted (IVW) method, complemented by comprehensive sensitivity analyses. Our results revealed that genetically predicted PM2.5 exposure was associated with a higher prevalence of antidepressant use (IVW OR = 1.496; 95 % CI: 1.238-1.808; p < 0.001). Findings were consistent across multiple MR methods, including weighted median and simple mode analyses. Sensitivity analyses identified no evidence of directional pleiotropy or influential outlier SNPs. In conclusion, this Mendelian randomization study provides genetic evidence supporting a potential causal relationship between chronic PM2.5 exposure and an increased prevalence of antidepressant medication use, which may be indicative of greater depressive symptom burden at the population level. These findings suggest that reducing air pollution could be a valuable strategy for mitigating the global burden of depression.

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Publication Details

Journal
Environmental Research
Published
2025-06-18
DOI
https://doi.org/10.1016/j.envres.2025.122192
Citations
1
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
1.20

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article

Causal relationship between PM2.5 exposure and population-level antidepressant medication use: A Mendelian randomization study using GWAS data from multi-biobank

Zhongyuan Lv, Xiaomin Dong, Kefeng Li, Feng Xu et al.
1 citations
Environmental Research
Health, Environment, Cognitive Aging
1.20
article

Causal relationship between PM2.5 exposure and population-level antidepressant medication use: A Mendelian randomization study using GWAS data from multi-biobank

Zhongyuan Lv, Xiaomin Dong, Kefeng Li, Feng Xu, Yaoxiu Liu
article en
1 citations

Abstract

Exposure to fine particulate matter (PM2.5) has been associated with an increased risk of depression; however, causal evidence regarding its influence on the clinical burden of depressive symptoms remains limited. In this study, we conducted a two-sample Mendelian randomization (MR) analysis to assess whether genetically predicted chronic PM2.5 exposure is causally associated with the likelihood of antidepressant medication use. Antidepressant use, as derived from national prescription registers, serves as an objective, treatment-based proxy likely indicative of greater symptom burden, capturing clinically managed depression at the population level. Genome-wide association study (GWAS) summary statistics were utilized, involving data on PM2.5 exposure (n = 423,796 European participants) and antidepressant medication usage (131,176 cases, 104,642 controls). Forty-eight single-nucleotide polymorphisms (SNPs) associated with PM2.5 exposure (p < 5 × 10^-6) were selected as instrumental variables. Primary analyses employed the inverse-variance weighted (IVW) method, complemented by comprehensive sensitivity analyses. Our results revealed that genetically predicted PM2.5 exposure was associated with a higher prevalence of antidepressant use (IVW OR = 1.496; 95 % CI: 1.238-1.808; p < 0.001). Findings were consistent across multiple MR methods, including weighted median and simple mode analyses. Sensitivity analyses identified no evidence of directional pleiotropy or influential outlier SNPs. In conclusion, this Mendelian randomization study provides genetic evidence supporting a potential causal relationship between chronic PM2.5 exposure and an increased prevalence of antidepressant medication use, which may be indicative of greater depressive symptom burden at the population level. These findings suggest that reducing air pollution could be a valuable strategy for mitigating the global burden of depression.

Environmental ResearchVol. 283
Guilin Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN), Macao Polytechnic University (MO)
National College Students Innovation and Entrepreneurship Training Program
Zero hunger
Openalex Percentile: Top 22%
Health, Environment, Cognitive Aging
1.20
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