SynthesisJournal of clinical hypertension (Greenwich, Conn.)2025
Gestational Exposure to Particulate Matter and Preeclampsia Risk: Evidence from a Meta-Analysis and Mendelian Randomization Study.
Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Article
- Integration of Mendelian randomization and transcriptome wide association studies for causal gene identification in ovarian cancer genetic architecture.Discover oncology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Preeclampsia (PE) is a severe hypertensive disorder that occurs during pregnancy. Exposure to particulate matter (PM), particularly fine particles such as PM2.5/PM10, has been investigated as a potential environmental risk factor for its development. In this study, we employed both meta-analysis and Mendelian randomization (MR) to investigate the relationship between PM exposure and PE risk. The meta-analysis of 26 studies (>2 million pregnancies) found modest associations between PM exposure and PE risk. In particular, PM2.5 exposure during the second trimester (OR = 1.03, 95% CI: 1.01-1.04) and PM10 exposure (OR = 1.06, 95% CI: 1.00-1.12) showed significant associations. Subgroup and meta-regression analyses revealed that regional differences, particularly between Europe and Asia, were major contributors to heterogeneity, while publication year showed minimal impact. In contrast, no significant associations were found for PM exposure during the first and third trimesters, with greater statistical uncertainty likely due to heterogeneity in study design and exposure assessment methods. The MR analysis, using genetic instruments from European genome-wide association studies data, did not support a causal relationship between PM exposure and PE risk (PM2.5: OR = 1.128, 95% CI: -0.593- 0.834; PM10: OR = 0.668, 95% CI: -1.482-0.675). These findings suggest that while PM exposure, particularly during mid-pregnancy, may be associated with increased PE risk in observational studies, the lack of a confirmed causal link in MR analysis indicates potential influence from residual confounding, exposure misclassification, and study heterogeneity. Therefore, the observed associations should be interpreted with caution.
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