Dailing Wu , Hong Bai , Liang-Ying He , Lu-Xi He , Fang-Zhou Gao , Chong-Xuan Liu , Paul J. Van den Brink , Hauke Smidt , Guang-Guo Ying
{"title":"From river to groundwater: Antibiotics pollution, resistance prevalence, and source tracking","authors":"Dailing Wu , Hong Bai , Liang-Ying He , Lu-Xi He , Fang-Zhou Gao , Chong-Xuan Liu , Paul J. Van den Brink , Hauke Smidt , Guang-Guo Ying","doi":"10.1016/j.envint.2025.109305","DOIUrl":"10.1016/j.envint.2025.109305","url":null,"abstract":"<div><div>The extensive use of antibiotics has led to their frequent detection as residues in the environment. However, monitoring of their levels in groundwater and the associated ecological and health risks remains limited, and the impact of river pollution on groundwater is still unclear. This study focused on the highly urbanized Maozhou River and its groundwater. Forty-five antibiotics and microbial community composition were analyzed by high-resolution LC-MS/MS and 16S rRNA gene sequencing, respectively. These endpoints were measured in sediment, surface- and groundwater sampled during wet and dry seasons, while isolation and resistance profiling of <em>Escherichia coli</em> was performed in groundwater. This study aimed to assess the ecological and health risks posed by antibiotics in the Maozhou River and its groundwater, to assess the prevalence and type of antimicrobial resistance in <em>Escherichia coli</em>, and to trace the sources of antibiotic resistance genes (ARGs) in groundwater. Multiple antibiotics detected in the river and sediment were predicted to pose high risks to algae growth and bacterial resistance selection. In groundwater, the antibiotics erythromycin and norfloxacin were predicted to pose a medium risk to algae and a low risk towards bacterial resistance. Furthermore, significant positive correlations were observed between several predominant bacterial phyla in the river and groundwater and the detected antibiotics, suggesting a possible effect of local antibiotic residues on bacterial community composition. Antimicrobial susceptibility testing of 76 <em>Escherichia coli</em> isolates revealed 74 % exhibited resistance to at least one tested antibiotic and 7.9 % exhibiting multidrug resistance, which was confirmed by ARG-targeted PCR analysis. SourceTracker analysis of ARGs in groundwater indicated that ARG contamination in shallow groundwater was primarily from river sediments, while contamination in deeper groundwater originated mainly from river water. The results emphasize the need to address river pollution, as it directly impacts groundwater quality, particularly in areas with severe antibiotic contamination.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109305"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143031153","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}
Silvia Maritano , Lorenzo Richiardi , Sofia Quaglia , Franca Rusconi , Milena Maule , Giovenale Moirano
{"title":"Exposure to climate change-related extreme events in the first year of life and occurrence of infant wheezing","authors":"Silvia Maritano , Lorenzo Richiardi , Sofia Quaglia , Franca Rusconi , Milena Maule , Giovenale Moirano","doi":"10.1016/j.envint.2025.109303","DOIUrl":"10.1016/j.envint.2025.109303","url":null,"abstract":"<div><h3>Introduction</h3><div>Climate change increases the intensity and frequency of extreme events, which will most impact younger generations. Within the NINFEA birth cohort, we investigated the relationship between exposure to such events during the first year of life and infant respiratory health.</div></div><div><h3>Methods</h3><div>The NINFEA cohort study recruited pregnant women across 11 years in Italy, allowing for climatic variability exploitation by birth place and time. We combined geocoded addresses with climate data, to derive children’s cumulative exposure to the following extreme events during their first year: (i) heatwaves (i.e. 3 + consecutive days, with maximum temperature > 35 °C); (ii) days with wildfire PM<sub>2</sub>.<sub>5</sub> >15 μg/m3 and (iii) daily precipitation > 100 mm; (iv) months with exceptional drought. Logistic regression models estimated the relationship between each exposure and wheezing at 6–18 months, adjusting for individual and contextual factors.</div></div><div><h3>Results</h3><div>Wheezing prevalence in the cohort was 17.6%. The exposure to each additional heatwave in the first year of life increased wheezing risk by 16%, with an odds ratio (OR) of 1.16 and a 95% Confidence Interval (CI) of 1.00;1.35. The OR for each month of extreme drought exposure was 1.10, 95%CI 0.95; 1.26. Results for wildfire PM<sub>2</sub>.<sub>5</sub> were unclear with wider confidence intervals (OR for each high exposure day:1.36, 95% CI 0.85; 2.16). Wheezing was not associated with extreme precipitation.</div></div><div><h3>Conclusions</h3><div>Exposure to multiple extreme events, especially heatwaves, in the first year of life is associated with later infant respiratory health suggesting the need to implement climate change mitigation policies to protect long-term health.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109303"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143031155","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}
Wylie BJ , Kaali S , Duttweiler L , Ae-Ngibise KA , Mujtaba M , Tawiah C , Gibson E , Calafat AM , Ospina M , Jack DJ , Agyei O , Lee AG , Roberts DJ , Boamah-Kaali EA , Factor-Litvak P , Modest AM , Hauser R , Coull BA , Asante KP
{"title":"Evaluation of gestational nonpersistent pesticide exposure with newborn size and gestational length in rural Ghana using a novel time-varying extension of multiple informant models","authors":"Wylie BJ , Kaali S , Duttweiler L , Ae-Ngibise KA , Mujtaba M , Tawiah C , Gibson E , Calafat AM , Ospina M , Jack DJ , Agyei O , Lee AG , Roberts DJ , Boamah-Kaali EA , Factor-Litvak P , Modest AM , Hauser R , Coull BA , Asante KP","doi":"10.1016/j.envint.2025.109292","DOIUrl":"10.1016/j.envint.2025.109292","url":null,"abstract":"<div><h3>Background</h3><div>Gestational pesticide exposure may negatively affect newborn outcomes. Prior results evaluating nonpersistent pesticides are inconsistent.</div></div><div><h3>Objective</h3><div>To examine associations between gestational exposure to nonpersistent pesticides and newborn outcomes and identify critical windows of susceptibility.</div></div><div><h3>Study Design</h3><div>In a Ghanaian pregnancy cohort, we measured select biomarkers of organophosphate, pyrethroid, and herbicide pesticides in repeated urine samples (1–5/participant). We developed a new model for assessing critical windows of vulnerability from irregularly-timed measurements of nonpersistent pesticides, leveraging strengths from multiple informant and distributed lag models. We estimated associations of biomarker concentrations with newborn anthropometrics and gestational length, adjusting for confounders and exploring effect modification by infant sex and placental malaria.</div></div><div><h3>Results</h3><div>1,211 pregnant women contributed 3,786 gestational urinary samples. In models assuming constant associations with exposures across pregnancy, in a given week a doubling of 3-phenoxybenzoic acid (pyrethroid biomarker) was associated with a −15.8 g difference in birth weight (95 % CI:-28.1,-3.6), and a doubling of the 2,4-dichlorophenoxyacetic acid (2,4-D, herbicide biomarker) was associated with an 11.1 g increase in birth weight (95 % CI:1.0,21.1). In time-varying models, significant associations were identified for pyrethroid exposure measured between weeks 16–27, and for 2,4-D exposure measured during weeks 25–33. Organophosphates were not associated with birth weight. No associations were found for birth length or head circumference for any pesticide. In constant association models, a doubling of weekly 2,4-D was associated with a 0.05 week increase in gestational length (95 %CI:0.01,0.09); no associations were found with other biomarkers.</div></div><div><h3>Conclusions</h3><div>We identified associations between gestational exposure to nonpersistent pesticides and both birth size and gestational length. Extending multiple informant models to account for the complex data structure allowed us to discern effects in opposing directions by distinct pesticide classes. While estimated effects for a given week were modest, prolonged or repeated exposures could result in larger cumulative impacts.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109292"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143055350","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}
Ken Karipidis , Dan Baaken , Tom Loney , Maria Blettner , Rohan Mate , Chris Brzozek , Mark Elwood , Clement Narh , Nicola Orsini , Martin Röösli , Marilia Silva Paulo , Susanna Lagorio
{"title":"The effect of exposure to radiofrequency fields on cancer risk in the general and working population: A systematic review of human observational studies – Part II: Less researched outcomes","authors":"Ken Karipidis , Dan Baaken , Tom Loney , Maria Blettner , Rohan Mate , Chris Brzozek , Mark Elwood , Clement Narh , Nicola Orsini , Martin Röösli , Marilia Silva Paulo , Susanna Lagorio","doi":"10.1016/j.envint.2025.109274","DOIUrl":"10.1016/j.envint.2025.109274","url":null,"abstract":"<div><h3>Background</h3><div>In the framework of the World Health Organization assessment of health effects of exposure to radiofrequency electromagnetic fields (RF-EMF), we have conducted a systematic review of human observational studies on the association between exposure to RF-EMF and risk of neoplastic diseases. Due to the extremely large number of included exposure types/settings and neoplasm combinations, we decided to present the review findings in two separate papers. In the first one we addressed the most investigated exposure-outcome pairs (e.g. glioma, meningioma, acoustic neuroma in relation to mobile phone use, or risk childhood leukemia in relation to environmental exposure from fixed-site transmitters) (<span><span>Karipidis et al., 2024</span></span>). Here, we report on less researched neoplasms, which include lymphohematopoietic system tumours, thyroid cancer and oral cavity/pharynx cancer, in relation to wireless phone use, or occupational RF exposure.</div></div><div><h3>Methods</h3><div><em>Eligibility criteria</em>: We included cohort and case-control studies of neoplasia risks in relation to three types of exposure to RF-EMF: 1. exposure from wireless phone use; 2. environmental exposure from fixed-site transmitters; 3. occupational exposures. In the current paper, we focus on less researched neoplasms including leukaemia, non-Hodgkin’s lymphoma and thyroid cancer in mobile phone users; lymphohematopoietic system tumours and oral cavity/pharynx cancer in exposed workers. We focussed on investigations of specific neoplasms in relation to specific exposure sources (termed exposure-outcome pair, abbreviated E-O pairs), noting that a single article may address multiple E-O pairs.</div><div><em>Information sources</em>: Eligible studies were identified by predefined literature searches through Medline, Embase, and EMF-Portal.</div><div><em>Risk-of-bias (RoB) assessment</em>: We used a tailored version of the Office of Health Assessment and Translation (OHAT) RoB tool to evaluate each study’s internal validity. Then, the studies were classified into three tiers according to their overall potential for bias (low, moderate and high) in selected, predefined and relevant bias domains.</div><div><em>Data synthesis</em>: We synthesized the study results using random effects restricted maximum likelihood (REML) models.</div><div><em>Evidence assessment</em>: Confidence in evidence was assessed according to the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach.</div></div><div><h3>Results</h3><div>We included 26 articles, which were published between 1988 and 2019, with participants from 10 countries, reporting on 143 different E-O pairs, including 65 different types of neoplasms. Of these, 19 E-O pairs satisfied the criteria for inclusion in quantitative syntheses of the evidence regarding the risks of leukaemia, non-Hodgkin’s lymphoma or thyroid cancer in relation to mobile phone use, and the risks o","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109274"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142961788","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}
Wei Zhang , Huajing Zeng , Siyu Xie , Cheng Yu , Meina Zhang , Qiuyan Chen , Huiyue Dong , Hui Zhang , Hao Lin , Nengjing Zheng , Lin Zhu , Jun Lu
{"title":"Activation of autophagy with PF-06409577 alleviates heatstroke-induced organ injury","authors":"Wei Zhang , Huajing Zeng , Siyu Xie , Cheng Yu , Meina Zhang , Qiuyan Chen , Huiyue Dong , Hui Zhang , Hao Lin , Nengjing Zheng , Lin Zhu , Jun Lu","doi":"10.1016/j.envint.2025.109285","DOIUrl":"10.1016/j.envint.2025.109285","url":null,"abstract":"<div><div>Heat waves are a significant environmental issue threatening global human health. Extreme temperatures can lead to various heat-related illnesses, with heatstroke being among the most severe. Currently, there are no effective treatments to mitigate the multi-organ damage caused by heatstroke. We found that heat stress activated autophagy. Knockdown of the autophagy-related gene 7 (ATG7) or knockout of the autophagy initiation regulatory genes UNC-51-like autophagy activating kinase 1/2 (ULK1/ULK2) increased cell death. PF-06409577, an allosteric activator of AMP-activated protein kinase β (AMPKβ), reduced heat stress-induced cell death by promoting autophagy. Inhibition of ATG7 or ULK1 weakened PF-06409577′s protective effect on cells. Treatment of heatstroke mouse models with PF-06409577 suppressed high temperature-induced damage to multiple organs, including the liver, kidneys, lungs, and small intestine. PF-06409577 protected liver and kidney functions, lowered the expression of kidney injury markers neutrophil gelatinase associated lipocalin (Ngal), secreted phosphoprotein 1 (Spp1), and clusterin (Clu), and reduced levels of the inflammatory factor IL-6. Additionally, it decreased heat stress-induced macrophage infiltration and IL-6 production in the liver. The results indicate that activation of autophagy serves a protective function during heat stress, and the AMPK activator PF-06409577 exhibits potential in mitigating heatstroke-induced multi-organ damage through its ability to promote autophagy.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109285"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142989172","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}
Kate Cook , Shonnette Premchand-Branker , Maria Nieto-Rosado , Edward A.R. Portal , Mei Li , Claudia Orbegozo Rubio , Jordan Mathias , Jawaria Aziz , Kenneth Iregbu , Seniyat Larai Afegbua , Aminu Aliyu , Yahaya Mohammed , Ifeyinwa Nwafia , Oyinlola Oduyebo , Abdulrasul Ibrahim , Zainab Tanko , Timothy R. Walsh , Nigeria-AVIAR group , Chioma Achi , Kirsty Sands
{"title":"Flies as carriers of antimicrobial resistant (AMR) bacteria in Nigerian hospitals: A workflow for surveillance of AMR bacteria carried by arthropod pests in hospital settings","authors":"Kate Cook , Shonnette Premchand-Branker , Maria Nieto-Rosado , Edward A.R. Portal , Mei Li , Claudia Orbegozo Rubio , Jordan Mathias , Jawaria Aziz , Kenneth Iregbu , Seniyat Larai Afegbua , Aminu Aliyu , Yahaya Mohammed , Ifeyinwa Nwafia , Oyinlola Oduyebo , Abdulrasul Ibrahim , Zainab Tanko , Timothy R. Walsh , Nigeria-AVIAR group , Chioma Achi , Kirsty Sands","doi":"10.1016/j.envint.2025.109294","DOIUrl":"10.1016/j.envint.2025.109294","url":null,"abstract":"<div><div>The dissemination of antimicrobial resistant (AMR) bacteria by flies in hospitals is concerning as nosocomial AMR infections pose a significant threat to public health. This threat is compounded in low- and middle-income countries (LMICs) by several factors, including limited resources for sufficient infection prevention and control (IPC) practices and high numbers of flies in tropical climates. In this pilot study, 1,396 flies were collected between August and September 2022 from eight tertiary care hospitals in six cities (Abuja, Enugu, Kaduna, Kano, Lagos and Sokoto) in Nigeria. Flies were screened via microbiological culture and bacterial isolates were phenotypically and genetically characterised to determine carriage of clinically important antibiotic resistance genes (ARGs). Several clinically relevant ARGs were found in bacteria isolated from flies across all hospitals. <em>bla</em><sub>NDM</sub> was detected in 8% of flies and was predominantly carried by <em>Providencia</em> spp<em>.</em> alongside clinically relevant <em>Enterobacter</em> spp<em>, Escherichia coli</em> and <em>Klebsiella pneumoniae</em> isolates, which all exhibited a multidrug resistant phenotype. <em>mecA</em> was detected at a prevalence of 6.4%, mostly in coagulase-negative Staphylococci (CoNS) as well as some <em>Staphylococcus aureus</em>, of which 86.8% were multidrug resistant. 40% of flies carried bacteria with at least one of the two ESBL genes tested (<em>bla</em><sub>OXA</sub><sub>-1</sub> and <em>bla</em><sub>CTX-M−15</sub>). This multi-site study emphasised that flies in hospital settings carry bacteria that are resistant to multiple classes of antibiotics, including both routinely used and reserve antibiotics. A greater understanding of the global clinical significance and burden of AMR attributable to insect pests is required.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109294"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990755","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}
Lucyna Kozlowska , Susana Viegas , Paul T.J. Scheepers , Radu C. Duca , Lode Godderis , Carla Martins , Krzesimir Ciura , Karolina Jagiello , Maria João Silva , Selma Mahiout , Inese Mārtiņsone , Linda Matisāne , An van Nieuwenhuyse , Tomasz Puzyn , Monika Sijko-Szpanska , Jelle Verdonck , Tiina Santonen , the HBM4EU E-waste Study Team
{"title":"HBM4EU E-waste study – An untargeted metabolomics approach to characterize metabolic changes during E-waste recycling","authors":"Lucyna Kozlowska , Susana Viegas , Paul T.J. Scheepers , Radu C. Duca , Lode Godderis , Carla Martins , Krzesimir Ciura , Karolina Jagiello , Maria João Silva , Selma Mahiout , Inese Mārtiņsone , Linda Matisāne , An van Nieuwenhuyse , Tomasz Puzyn , Monika Sijko-Szpanska , Jelle Verdonck , Tiina Santonen , the HBM4EU E-waste Study Team","doi":"10.1016/j.envint.2025.109281","DOIUrl":"10.1016/j.envint.2025.109281","url":null,"abstract":"<div><div>E-waste contains hazardous chemicals that may be a direct health risk for workers involved in recycling. We conducted an untargeted metabolomics analysis of urine samples collected from male e-waste processing workers to explore metabolic changes associated with chemical exposures in e-waste recycling in Belgium, Finland, Latvia, Luxembourg, the Netherlands, Poland, and Portugal. Questionnaire data and urine samples were obtained from workers involved in the processing of e-waste (sorting, dismantling, shredding, pre-processing, metal, and non-metal processing), as well as from controls with no known occupational exposure. Pre- and post-shift urine samples were collected and analysed using ultrahigh-performance liquid chromatography-mass spectrometry (UPLC-MS). A total of 32 endogenous urinary metabolites were annotated with a Variable Importance in Projection (VIP) above 2, indicating that e-waste recycling is mainly associated with changes in steroid hormone and neurotransmitter metabolism, energy metabolism, bile acid biosynthesis, and inflammation. The highest VIP was observed for dopamine-o-quinone, which is linked to Parkinson’s disease. These and other changes in metabolism in workers employed in the processing of e-waste need further verification in targeted studies.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109281"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142986819","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}
Marcella Warner , Stephen Rauch , Brenda Eskenazi , Lucia Calderon , Robert B. Gunier , Katherine Kogut , Nina Holland , Weihong Guo , Julianna Deardorff , Jacqueline M. Torres
{"title":"Persistent organochlorine pesticides and cardiometabolic outcomes among middle-aged Latina women in a California agricultural community: The CHAMACOS Maternal Cognition Study","authors":"Marcella Warner , Stephen Rauch , Brenda Eskenazi , Lucia Calderon , Robert B. Gunier , Katherine Kogut , Nina Holland , Weihong Guo , Julianna Deardorff , Jacqueline M. Torres","doi":"10.1016/j.envint.2025.109302","DOIUrl":"10.1016/j.envint.2025.109302","url":null,"abstract":"<div><h3>Objective</h3><div>Environmental exposure to endocrine disrupting compounds is hypothesized to increase risk of cardiovascular disease through effects on obesity, hypertension, dyslipidemia, and insulin resistance. We examined the relationship between serum concentrations of persistent organochlorine pesticides and biologic markers of inflammation and cardiometabolic disease, measured over a decade later, in a cohort of middle-aged and primarily immigrant Latina women living in an underserved agricultural community in California.</div></div><div><h3>Material and methods</h3><div>We used data from the Center for the Health Assessment of Mothers and Children of Salinas-Maternal Cognition Study (CHAMACOS-MCS). We included 468 women who had concentrations of organochlorine pesticides measured in serum collected in 2009–2011 and complete follow-up data in 2022–2024 (blood draw, anthropometry, personal interview). We used Bayesian hierarchical regression models (BHM) to examine the independent effects of five highly correlated pesticides with continuous and binary measures of cardiometabolic disease and inflammation.</div></div><div><h3>Results</h3><div>Participants averaged 49.0 (±5.5) years at follow-up. In BHM models, a 10-fold increase in <em>p,p</em>′-dichlorodiphenyltrichloroethane (DDT) and β-hexacyclohexane (β-HCH) was positively associated with BMI (DDT: adj-β = 1.26, 95 % Credible Interval (CrI): 0.33, 2.20; β-HCH: adj-β = 1.56, 95 %CrI: 0.45, 2.67) and waist circumference (DDT: adj-β = 2.75, 95 %CrI: 0.65, 4.85; β-HCH: adj-β = 3.74, 95 %CrI: 1.24, 6.23). Although credible intervals crossed the null, consistent positive associations were observed for DDT and β-HCH with blood pressure and for DDT with insulin resistance. Trans-nonachlor was positively associated with triglycerides (log-TRIG: adj-β = 0.08, 95 %CrI: 0.02, 0.13). β-HCH was positively associated with inflammatory markers (log-hsCRP: adj-β = 0.11, 95 %CrI: 0.03, 0.19; log-IL-6: adj-β = 0.08, 95 %CrI: 0.03, 0.14).</div></div><div><h3>Conclusion</h3><div>With over a decade of follow-up, we extend evidence on previously reported associations of DDT and β-HCH with several measures of obesity. In addition, we provide new evidence suggesting associations with biomarkers of blood pressure, insulin resistance, dyslipidemia and inflammation, supporting the hypothesis that exposure may have long-term influences on cardiovascular disease risk.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109302"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143031154","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":"Common issues of data science on the eco-environmental risks of emerging contaminants","authors":"Xiangang Hu, Xu Dong, Zhangjia Wang","doi":"10.1016/j.envint.2025.109301","DOIUrl":"10.1016/j.envint.2025.109301","url":null,"abstract":"<div><div>Data-driven approaches (e.g., machine learning) are increasingly used to replace or assist laboratory studies in the study of emerging contaminants (ECs). In the past ten years, an increasing number of models or approaches have been applied to ECs, and the datasets used are continuously enriched. However, there are large knowledge gaps between what we have found and the natural eco-environmental meaning. For most published reviews, the contents are organized by the types of ECs, but the common issues of data science, regardless of the type of pollutant, are not sufficiently addressed. To close or narrow the knowledge gaps, we highlight the following issues ignored in the field of data-driven EC research. Complicated biological and ecological data and ensemble models revealing mechanisms and spatiotemporal trends with strong causal relationships and without data leakage deserve more attention in the future. In addition, the matrix influence, trace concentration, and complex scenario have often been ignored in previous works. Therefore, an integrated research framework related to natural fields, ecological systems, and large-scale environmental problems, rather than relying solely on laboratory data-related analysis, is urgently needed. Beyond the current prediction purposes, data science can inspire the discovery of scientific questions, and mutual inspiration among data science, process and mechanism models, and laboratory and field research is a critical direction. Focusing on the above urgent and common issues related to data, frameworks, and purposes, regardless of the type of pollutant, data science is expected to achieve great advancements in addressing the eco-environmental risks of ECs.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109301"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044556","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}
Ken Karipidis , Dan Baaken , Tom Loney , Maria Blettner , Rohan Mate , Chris Brzozek , Mark Elwood , Clement Narh , Nicola Orsini , Martin Röösli , Marilia Silva Paulo , Susanna Lagorio
{"title":"Response to the letter from Di Ciaula et al","authors":"Ken Karipidis , Dan Baaken , Tom Loney , Maria Blettner , Rohan Mate , Chris Brzozek , Mark Elwood , Clement Narh , Nicola Orsini , Martin Röösli , Marilia Silva Paulo , Susanna Lagorio","doi":"10.1016/j.envint.2025.109276","DOIUrl":"10.1016/j.envint.2025.109276","url":null,"abstract":"","PeriodicalId":308,"journal":{"name":"Environment International","volume":"196 ","pages":"Article 109276"},"PeriodicalIF":10.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143072116","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}