Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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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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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261971 | PMC |
http://dx.doi.org/10.1111/jch.70096 | DOI Listing |