Environmental Health Perspectives最新文献

{"title":"Evaluation of FXR Activity in Pollutants Identified in Sewage Sludge and Subsequent <i>in Vitro</i> and <i>in Vivo</i> Characterization of Metabolic Effects of Triphenyl Phosphate.","authors":"Yi Yang, Ling Jiao, Yixuan Huang, Hailin Shang, Enrui Li, Hong Chang, Hongyang Cui, Yi Wan","doi":"10.1289/EHP15435","DOIUrl":"10.1289/EHP15435","url":null,"abstract":"<p><strong>Background: </strong>Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common liver disease worldwide, and increasing evidence suggests that exposure to environmental pollutants is associated with the increased incidence of MASLD. The farnesoid X receptor (FXR) plays an important role in the development of MASLD by regulating bile acids (BAs) and lipid metabolism. However, whether FXR-active pollutants are the environmental drivers of MASLD remains unclear.</p><p><strong>Objectives: </strong>This study aimed to determine whether FXR-active pollutants exist in the environment and evaluate their ability to trigger MASLD development in mice.</p><p><strong>Methods: </strong>An FXR protein affinity pull-down assay and nontargeted mass spectrometry (MS) analysis were used to identify environmental FXR ligands in sewage sludge. A homogeneous time-resolved fluorescence coactivator recruitment assay and cell-based dual-luciferase reporter assay were used to determine the FXR activities of the identified pollutants. Targeted analysis of BAs, MS imaging, lipidomic analysis, 16S rRNA sequencing, and quantitative polymerase chain reaction were conducted to assess the ability of FXR-active pollutants to induce metabolic disorders of BAs and lipids and to contribute to MASLD development in C57BL/6N mice.</p><p><strong>Results: </strong>We identified 19 compounds in the sewage sludge that had FXR-antagonistic activity, and triphenyl phosphate (TPHP) was the FXR antagonist with the highest efficacy. Mice exposed to either 10 or <math><mrow><mn>50</mn><mspace></mspace><mi>mg</mi><mo>/</mo><mi>kg</mi></mrow></math> TPHP for 30 d had higher levels of conjugated primary BAs in enterohepatic circulation, and the BA pool showed FXR antagonistic activities. The exposed mice also had greater lipogenesis (more Oil Red O staining and high triglyceride levels) in liver.</p><p><strong>Conclusions: </strong>Nineteen FXR-antagonistic pollutants were identified in sewage sludge. FXR inhibition by the strongest antagonist TPHP may have a role in promoting MASLD development in mice by inducing a positive feedback loop between the FXR and BAs. https://doi.org/10.1289/EHP15435.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"47005"},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12010937/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143572626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on \"Exposure to Per- and Polyfluoroalkyl Substances and Mortality in US Adults: A Population-Based Cohort Study\".","authors":"Tony Fletcher","doi":"10.1289/EHP17149","DOIUrl":"10.1289/EHP17149","url":null,"abstract":"","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"48002"},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12036667/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143630247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Calibration of Toenail Metal Concentrations for Sample Mass Heterogeneity and Between-Batch Variability: The COMET Approach.","authors":"Roberto Pastor-Barriuso, Enrique Gutiérrez-González, Elena Varea-Jiménez, José Luis Gómez-Ariza, Gemma Castaño-Vinyals, Nuria Aragonés, Antonio José Molina, Trinidad Dierssen-Sotos, Guillermo Fernández-Tardón, Pilar Amiano, María Ederra-Sanz, Victor Moreno, José Juan Jiménez-Moleón, Ana Molina-Barceló, Rafael Marcos-Gragera, Delphine Casabonne, Juan Alguacil, Jesús Humberto Gómez-Gómez, Tamara García-Barrera, Manolis Kogevinas, Marina Pollán, Beatriz Pérez-Gómez","doi":"10.1289/EHP14784","DOIUrl":"10.1289/EHP14784","url":null,"abstract":"<p><strong>Background: </strong>Toenails are promising biomarkers of long-term metal exposure in epidemiological studies, but their accuracy may be compromised by systematic and random errors associated with heterogeneous toenail sample masses, as well as by substantial variability across laboratory batches.</p><p><strong>Objectives: </strong>We propose a novel modeling approach to calibrate toenail metal concentrations for the heterogeneity in sample masses and the variability between batches.</p><p><strong>Methods: </strong>We developed a heteroscedastic spline mixed model relating sample mass and laboratory batch with measured concentrations, allowing for an average bias in measurements over all batches as a smooth function of sample mass, random variation in mass-related biases across batches, and mass-related heterogeneity in within-batch error variance. The model allowed partitioning the total variance of measured concentrations into the extraneous variances (due to different sample masses and laboratory batches) and the intrinsic variance (resulting from distinct metal exposures). We derived calibrated metal concentrations from the model by removing both sources of extraneous variation and estimating the predicted concentrations had all toenail samples been analyzed in a single batch and of the same mass. We provide the R script COMET (COrrected METals) to fit the proposed model, extract variance components, and calibrate metal concentrations.</p><p><strong>Results: </strong>In a multicase-control study in Spain (MCC-Spain) with toenail determinations for 16 metals in 4,473 incident cases of five common cancers and 3,450 population controls, sample mass and batch accounted for 26%-60% of the total variance of measured concentrations for most metals. In comparison with calibrated concentrations, odds ratios for measured concentrations were biased by <math><mrow><mo>></mo><mn>10</mn><mo>%</mo></mrow></math> toward or away from the null in one-quarter of the estimated metal-cancer associations.</p><p><strong>Discussion: </strong>The proposed model allows correcting toenail metal concentrations for sample mass heterogeneity and between-batch variability and could be applied to other biological specimens of heterogeneous size, distinct laboratory techniques, and different study designs. https://doi.org/10.1289/EHP14784.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"47009"},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12010933/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143572517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sociodemographic Disparities in Exposures to Inorganic Contaminants in United States Public Water Systems.","authors":"Mona Q Dai, Xindi C Hu, Brent A Coull, Chris Campbell, David Q Andrews, Olga V Naidenko, Elsie M Sunderland","doi":"10.1289/EHP14793","DOIUrl":"10.1289/EHP14793","url":null,"abstract":"<p><strong>Background: </strong>Maximum contaminant level violations occur more frequently among some public water systems (PWS) serving marginalized communities across the United States. Spatially resolved PWS service area data are now available, allowing for better understanding of relationships between sociodemographic factors and water quality.</p><p><strong>Objectives: </strong>We examined associations between detection and concentration of arsenic (As), chromium (Cr), manganese (Mn), and selenium (Se) and the sociodemographic characteristics of residents served by PWS at two spatial scales: PWS service areas and counties.</p><p><strong>Methods: </strong>We leveraged data on inorganic contaminants in >273,000 drinking water samples from >21,000 PWS collected by state agencies and the U.S. Environmental Protection Agency over the decade between 2005-2015 and curated in a national database developed by the Environmental Working Group. Sociodemographic data were from the 2006-2015 American Community Survey. We developed two-step hurdle models that included: (1) a categorical model predicting contaminant detection and (2) a continuous model predicting contaminant concentration. We developed these hurdle models using PWS service areas or counties as spatial units of analysis and compared results.</p><p><strong>Results: </strong>PWS serving 5% higher proportions of limited English-speaking households had significantly greater detections of As, Cr, and Se, ranging from 1.25 (95% CI: 1.18, 1.32) times higher probability of Cr detection to 1.69 (95% CI: 1.58, 1.80) times higher probability of Se detection. Small PWS (≤10,000 customers) had higher concentrations of these same three contaminants. PWS serving greater proportions of Black residents had a lower probability of detecting As, Cr and Se, but significantly higher concentrations of Cr, Mn, and Se, particularly outside of large urban areas. The direction of significant associations was consistent between spatial units of analysis, but county results tended to exhibit greater effect sizes and fewer significant associations.</p><p><strong>Discussion: </strong>PWS service area data help to identify drinking water concerns specific to served communities and reduce issues related to statistical bias at larger spatial scales. Targeted subsidies for water infrastructure in communities served by small PWS would help reduce disparities in exposures to drinking water contaminants.. https://doi.org/10.1289/EHP14793.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":""},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<ArticleTitle xmlns:ns0=\"http://www.w3.org/1998/Math/MathML\">Fine Particulate Matter (<ns0:math><ns0:mrow><ns0:mi>P</ns0:mi><ns0:mrow><ns0:msub><ns0:mrow><ns0:mi>M</ns0:mi></ns0:mrow><ns0:mrow><ns0:mn>2.5</ns0:mn></ns0:mrow></ns0:msub></ns0:mrow></ns0:mrow></ns0:math>) and the Blood-Testis Barrier: An <i>in Vivo</i> and <i>in Vitro</i> Mechanistic Study.","authors":"Shaokai Zheng, Nannan Zhao, Xiaojun Lin, Lianlian Jiang, Chong Qiu, Jinchen Jiang, Zhenhao Shu, Yingyun Qian, Bo Liang, Lianglin Qiu","doi":"10.1289/EHP14447","DOIUrl":"10.1289/EHP14447","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Fine particulate matter [particulate matter (PM) with aerodynamic diameter of &lt;math&gt;&lt;mrow&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt; (&lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;)] is considered a major component of ambient PM. Exposure to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; was shown to be associated with male reproductive system injury. Ferroptosis is regarded as an iron-dependent programmed cell death that is associated with the pathological process. It has been reported that SIRT1 has protective effects on the male reproductive system. However, the underlying mechanisms of exposure to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;-induced testicular injury are still unexplored.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objectives: &lt;/strong&gt;In this study, we investigated the relationship between ferroptosis and male reproductive injury after exposure to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; and the role of SIRT1/HIF-&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mi&gt;α&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt; signaling pathway in this process.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We established a &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; exposure model &lt;i&gt;in vivo&lt;/i&gt; and i&lt;i&gt;n vitro&lt;/i&gt; using Sertoli cell Sirt1 conditional knockout C57BL/6 (cKO) mice testes and primary Sertoli cells. Hematoxylin and eosin (H&E) staining were conducted to examine the histology of the mice testes. Sperm parameters and biotin tracer assay were conducted to evaluate the effects of exposure to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; on the mice testes. Related markers and genes related to the blood-testis barrier (BTB) and ferroptosis were measured by quantitative real-time polymerase chain reaction (qPCR), western blot, and immunofluorescence assay. siRNA transfection was used to evaluate the potential mechanism.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Significant pathological damage and lower sperm quality were detected in mice testes exposed to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;. We found that exposure to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; damaged the BTB and inhibited the expression level of the BTB-related proteins (including Connexin 43, Occludin, Claudin 11, N-Cadherin and ZO-1). According to the enrichment analysis results, ferroptosis and HIF-&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mi&gt;α&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt; signaling pathway were significantly enriched in mice testes and primary Sertoli cells exposed to &lt;math&gt;","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"47006"},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12010934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143566349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on \"IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards\".","authors":"Julie E Goodman, Nicholas L Drury, Satori A Marchitti","doi":"10.1289/EHP17383","DOIUrl":"https://doi.org/10.1289/EHP17383","url":null,"abstract":"","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":""},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to \"Comment on 'IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards'\".","authors":"David M DeMarini, Weihsueh A Chiu, Kathryn Z Guyton, William Gwinn, Brad Reisfeld, Amy Wang, Aline de Conti, Mary K Schubauer-Berigan, Federica Madia","doi":"10.1289/EHP17625","DOIUrl":"https://doi.org/10.1289/EHP17625","url":null,"abstract":"","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":""},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<ArticleTitle xmlns:ns0=\"http://www.w3.org/1998/Math/MathML\">Quantifying the Source-Receptor Relationships of <ns0:math><ns0:mrow><ns0:mi>P</ns0:mi><ns0:mrow><ns0:msub><ns0:mrow><ns0:mi>M</ns0:mi></ns0:mrow><ns0:mrow><ns0:mn>2</ns0:mn><ns0:mo>.</ns0:mo><ns0:mn>5</ns0:mn></ns0:mrow></ns0:msub></ns0:mrow></ns0:mrow></ns0:math> Pollution and Associated Health Impacts among China, South Korea, and Japan: A Dual Perspective and an Interdisciplinary Approach.","authors":"Jianzheng Liu, Fei Yao, Hongwen Chen, Hongyan Zhao","doi":"10.1289/EHP14550","DOIUrl":"10.1289/EHP14550","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Transboundary particulate matter (PM) with aerodynamic diameter &lt;math&gt;&lt;mrow&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt; (&lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;) pollution is causing significant environmental conflicts among China, South Korea, and Japan. However, efforts to address these conflicts have been impeded by a lack of a comprehensive understanding of source-receptor relationships of &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; pollution and associated health impacts among these countries.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objectives: &lt;/strong&gt;We quantified the extent to which transboundary &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; pollution and associated health impacts are mutual among the three countries in 2015 and 2017 using three metrics (population-weighted mean &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; concentration, &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; population exposure, and &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;-related premature deaths) and two accounting perspectives (production and consumption).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We adopted an integrated interdisciplinary analysis framework that links an environmentally extended multiregional input-output model, a GEOS-Chem chemical transport model, a population exposure model, and an exposure-response model.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;From a production perspective, China's contributions to population-weighted mean &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; concentrations in South Korea and Japan were considerable, whereas the contributions of South Korea and Japan to China were negligible. However, the contributions from South Korea and Japan to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; population exposure and associated premature deaths in China were nonnegligible from both production and consumption perspectives. From a consumption perspective, the contributions of South Korea and Japan to &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;-related premature deaths in China amounted to &lt;math&gt;&lt;mn&gt;6.96&lt;/mn&gt;&lt;/math&gt; [95% confidence interval (CI): 6.36, 7.56] and &lt;math&gt;&lt;mn&gt;9.79&lt;/mn&gt;&lt;/math&gt; (95% CI: 8.93, 10.64) thousand deaths in 2015, respectively, and &lt;math&gt;&lt;mn&gt;5.03&lt;/mn&gt;&lt;/math&gt; (95% CI: 4.55, 5.49) and &lt;math&gt;&lt;mn&gt;7.75&lt;/mn&gt;&lt;/math&gt; (95% CI: 7.02, 8.47) in 2017, respectively. These figures we","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"47011"},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12036670/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Ambient Air Pollution and Temperature Exposure with Placental Abruption: A Nested Case-Control Study Based on Live Birth Registrations.","authors":"Tong Wang, Wenzheng Zhou, Han Liu, Yu Zhan, Die Tang, Ying Guo, Chenran Yin, Dongyan Wu, Yayun Cao, Xi Ling, Huan Yang, Niya Zhou, Jia Cao, Wei Zhou, Qing Chen","doi":"10.1289/EHP14714","DOIUrl":"10.1289/EHP14714","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Placental abruption, a rare disorder of unclear etiology, lacks evidence to illustrate its relationship with exposure to air pollution and temperature.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to investigate the association between exposure to ambient pollutants and temperatures and placental abruption to identify susceptible time windows and subpopulations.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A nested case-control study was based on a live birth registration database in Chongqing, the largest Chinese municipality in China, from 2018 to 2022. The placental abruption cases were each matched with four controls by maternal age at delivery, gestational week, gravidity, parity, and delivery date. Six ambient pollutants [particulate matter (PM) with aerodynamic diameter &lt;math&gt;&lt;mrow&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt; (&lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2.5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;), PM with aerodynamic diameter &lt;math&gt;&lt;mrow&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt; (&lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;PM&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;), &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;NO&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;, CO, &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;O&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;, and &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;SO&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;] and temperature were estimated using machine learning algorithms. A conditional logistic regression model analyzed associations of exposure to air pollution and temperature with placental abruption in five time windows (prepregnancy, the entire pregnancy, and each of the 3 trimesters). Stratification analyses were applied to examine potential modifiers including gravidity, parity, mothers' residential area (urban/rural), pandemic experience, and delivery season.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;After data quality control, 798 cases were identified and matched with 3,192 controls. An exposure relationship was identified between &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;NO&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; during the pregnancy period and placental abruption (&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;&lt;&lt;/mo&gt;&lt;mn&gt;0.001&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;). In comparison with the first quartile level of &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;NO&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;, the odds ratios (ORs) of abruption associated with exposure to the second, third, and fourth quartile levels of &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;NO&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt; were 1.42 [95% confidence interval (CI): 1.03, 1.96], 1.90 (95% CI: 1.30, 2.76), and 2.27 (95% CI: 1.39, 3.71), respectively. The association for &lt;math&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mi&gt;NO&lt;/mi&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"47013"},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042270/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Prospective Ultrasound Study of Whole Blood Metals and Incidence of Uterine Leiomyomata.","authors":"Ruth J Geller, Amelia K Wesselink, Birgit Claus Henn, Kristen Upson, Marco Vinceti, Quaker E Harmon, Donna D Baird, Ganesa Wegienka, Lauren A Wise","doi":"10.1289/EHP15218","DOIUrl":"10.1289/EHP15218","url":null,"abstract":"<p><strong>Background: </strong>Uterine leiomyomata (UL), hormone-dependent neoplasms, are a major source of gynecologic morbidity. Metals are hypothesized to influence UL risk through endocrine disruption, and their effects may vary by vitamin D status.</p><p><strong>Objective: </strong>We estimated associations of a metal mixture with incident UL, overall and by vitamin D status.</p><p><strong>Methods: </strong>We analyzed data from the Study of Environment, Lifestyle and Fibroids, a Detroit-area prospective cohort study of 1,693 black women 23-35 years of age. We measured concentrations of 17 metals/metalloids in whole blood and 25-hydroxyvitamin D [25(OH)D] in serum collected at baseline (2010-2012). Participants underwent ultrasonography at baseline and after 20 months to detect UL. We used Bayesian kernel machine regression to estimate adjusted associations (<math><mi>β</mi></math>) of the metal mixture with probit of incident UL. We also ran Cox regression models with interaction terms to estimate incidence rate ratios (IRR) by vitamin D status.</p><p><strong>Results: </strong>Among 1,132 UL-free participants at baseline, 832 (73%) had vitamin D deficiency [25(OH)D <math><mrow><mo><</mo><mn>20</mn><mtext> ng</mtext><mo>/</mo><mi>mL</mi></mrow></math>] and 117 (10%) developed UL within 20 months. Increasing all metals from their 50th to 75th percentiles was weakly positively associated with UL overall [<math><mrow><mi>β</mi><mo>=</mo><mn>0.06</mn></mrow></math>; 95% credible interval (CrI): <math><mrow><mo>-</mo><mn>0.03</mn></mrow></math>, 0.16] and among vitamin D-deficient participants (<math><mrow><mi>β</mi><mo>=</mo><mn>0.13</mn></mrow></math>; 95% CrI: 0.01, 0.24), driven by cadmium (overall and vitamin D-deficient) and mercury (vitamin D-deficient only). Increasing cadmium from its 25th to 75th percentile was positively associated with UL overall (<math><mrow><mi>β</mi><mo>=</mo><mn>0.03</mn></mrow></math>; 95% CrI: <math><mrow><mo>-</mo><mn>0.05</mn></mrow></math>, 0.11) and among vitamin D-deficient participants (<math><mrow><mi>β</mi><mo>=</mo><mn>0.13</mn></mrow></math>, 95% CrI: 0.02, 0.24). In Cox models, cadmium [<math><mrow><mtext>IRR</mtext><mo>=</mo><mn>1.55</mn></mrow></math>; 95% confidence interval (CI): 1.07, 2.24, per 1-unit increase in standardized concentration] and mercury (<math><mrow><mtext>IRR</mtext><mo>=</mo><mn>1.38</mn></mrow></math>; 95% CI: 0.99, 1.92) were positively associated with UL among vitamin D-deficient participants.</p><p><strong>Discussion: </strong>The metal mixture was positively associated with incident UL, but the association was weak and imprecise. We observed a stronger association among vitamin D-deficient participants that was driven by cadmium and mercury. https://doi.org/10.1289/EHP15218.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"47012"},"PeriodicalIF":10.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12036668/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}