Environment International最新文献

{"title":"Angling and trolling for eDNA: A novel and effective approach for passive eDNA capture in natural waters","authors":"Ziling Yan, Yuan Luo, Xiaoyu Chen, Lingyi Yang, Meng Yao","doi":"10.1016/j.envint.2024.109175","DOIUrl":"https://doi.org/10.1016/j.envint.2024.109175","url":null,"abstract":"The conventional water filtration approach for collecting environmental DNA (eDNA) has critical limitations. The collection of eDNA via passive eDNA samplers (PEDS) has been proposed as an alternative to the water filtration method. Here, we developed a novel and rapid eDNA sampling approach and evaluated the extent to which this method enhances eDNA sampling efficiency. We drove boats along transects across nine large natural lakes and deployed PEDS either by briefly submerging them at each sampling location (“angling”) or towing them in the water (“trolling”). One liter of water was also collected at each location and processed via the filtration method. Fish biodiversity was determined by metabarcoding analysis of eDNA extracts. Despite a short total submersion time (42–66 min of “angling”) and substantially fewer samples (PEDS: 3–6 samples; filtration: 21–33 samples per lake), PEDS generally detected more fish species in each lake as well as per sample compared with filtration. Detection probabilities for fish species were significantly higher for PEDS compared with the filtration method. PEDS are also superior to the filtration method since sampling requires less equipment, labor, time, and costs. Our innovative sampling strategy is thus effective and could be used for the eDNA biomonitoring of large water systems.","PeriodicalId":308,"journal":{"name":"Environment International","volume":"1 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142763147","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":"Multilateral funding for health adaptation and the health co-benefits of climate mitigation: An observational study","authors":"Ana-Catarina Pinho-Gomes, Louis Jamart","doi":"10.1016/j.envint.2024.109172","DOIUrl":"https://doi.org/10.1016/j.envint.2024.109172","url":null,"abstract":"<h3>Background</h3>The health impacts of climate change have been increasingly recognised for the past years. However, it remains unclear how this has translated into funding for health adaptation and health co-benefits of climate mitigation.<h3>Methods</h3>We analysed the projects funded by the Green Climate Fund (GCF) between 2021 and 2023 and the Adaptation Fund between 2019 and 2024 to estimate the amount of funding provided for health adaptation and the health co-benefits of climate mitigation. Based on the Notre Dame Global Adaptation Index (ND-GAIN), we estimated adaptation vulnerability and readiness for each country and investigated the association between this index and the total adaptation funding received by each country.<h3>Findings</h3>Between 2021 and 2023, 85 projects were funded by the GCF, of which 37 were adaptation, 32 cross-cutting, and 16 mitigation projects. The funds provided by the GCF contributed US$764 million to health adaptation (US$178 million in 2021 to US$422 million in 2023). There was no association between the amount of funding provided by the GCF towards adaptation and the estimated vulnerability, resilience, and combined adaptation index (ND-GAIN) at country level. Among the 48 mitigation and cross-cutting projects, 15 did not mention health, 13 mislabelled health co-benefits, 11 identified specific health co-benefits, and 9 correctly identified and measured health co-benefits as outcomes. The main health co-benefits were a reduction in the health impact of air pollution, improved nutrition, and reduction in traffic casualties. There were 15 active projects on the Adaptation Fund website, amounting to a total of US$51,944,915. Seven of the projects mentioned health benefits but only one explicitly measured health adaptation indicators as outcomes.<h3>Interpretation</h3>Funding for health adaptation and health co-benefits of mitigation provided by the two main multilateral adaptation funds has been increasing over the recent years. However, it remains insufficient and does not seem to be targeting the countries facing the greatest impacts of climate change.","PeriodicalId":308,"journal":{"name":"Environment International","volume":"25 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760092","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":"Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach","authors":"Jian Chen ,&nbsp;Li Zhao ,&nbsp;Bin Wang ,&nbsp;Xinyi He ,&nbsp;Lei Duan ,&nbsp;Gang Yu","doi":"10.1016/j.envint.2024.109154","DOIUrl":"10.1016/j.envint.2024.109154","url":null,"abstract":"<div><div>Pesticides typically co-occur in agricultural surface waters and pose a potential threat to human and ecosystem health. As pesticide screening in global agricultural surface waters is an immense analytical challenge, a detailed risk picture of pesticides in global agricultural surface waters is largely missing. Here, we create the first global maps of human health and ecological risk from pesticides in agricultural surface waters using random forest models based on 27,411 measurements of 309 pesticides and 30 geospatial parameters. Our global risk maps identify the hotspots, mainly in Southern Asia and Africa, with extensive pesticide use and poor wastewater management infrastructure. We identify 4 and 5 priority pesticides for protecting the human and ecosystem health, respectively. Importantly, we estimate that 305 million people worldwide are at potential health risk associated with the surface-water pesticide mixture exposure, with the vast majority (86%) being in Asia. We further identify the hotspots in the Ganges River basin in India, where more than 170 million people are at potential health risk. As pesticides are increasingly used to ensure the food production due to future population growth and climate change, our findings have implications for raising awareness of pesticide pollution, identifying the hotspots and helping to prioritize testing.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"194 ","pages":"Article 109154"},"PeriodicalIF":10.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673566","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":"Associations of PFAS concentrations during pregnancy and midlife with bone health in midlife: Cross-sectional and prospective findings from Project Viva","authors":"Pi-I Debby Lin, Andres Cardenas, Lisa B. Rokoff, Sheryl L. Rifas-Shiman, Mingyu Zhang, Julianne Botelho, Antonia M. Calafat, Diane R. Gold, Ami R. Zota, Tamarra James-Todd, Russ Hauser, Thomas F. Webster, Emily Oken, Abby F. Fleisch","doi":"10.1016/j.envint.2024.109177","DOIUrl":"https://doi.org/10.1016/j.envint.2024.109177","url":null,"abstract":"<h3>Background</h3>PFAS may impair bone health, but effects of PFAS exposure assessed during pregnancy and the perimenopause—life stages marked by rapidly changing bone metabolism—on later life bone health are unknown.<h3>Methods</h3>We studied 531 women in the Boston-area Project Viva cohort. We used multivariable linear, generalized additive, and mixture models to examine associations of plasma PFAS concentrations during early pregnancy [median (IQR) maternal age 32.9 (6.2) years] and midlife [age 51.2 (6.3)] with lumbar spine, total hip, and femoral neck areal bone mineral density (aBMD) and bone turnover biomarkersassessed in midlife. We examined effect modification by diet and physical activity measured at the time of PFAS exposure assessment and by menopausal status in midlife.<h3>Results</h3>Participants had higher PFAS concentrations during pregnancy [1999–2000; e.g., PFOA median (IQR) 5.4 (3.8) ng/mL] than in midlife [2017–2021; e.g., PFOA: 1.5 (1.2) ng/mL]. Women with higher PFOA, PFOS and PFNA during pregnancy had higher midlife aBMD, especially of the spine [e.g., 0.28 (95% CI: 0.07, 0.48) higher spine aBMD T-score, per doubling of PFOA], with stronger associations observed among those with higher diet quality. In contrast, higher concentrations of all PFAS measured in midlife were associated with lower concurrent aBMD at all sites [e.g., −0.21 (−0.35, −0.07) lower spine aBMD T-score, per doubling of PFOA]; associations were stronger among those who were postmenopausal. The associations of several PFAS with bone resorption (loss) were also stronger among postmenopausal versus premenopausal women.<h3>Discussion</h3>Plasma PFAS measured during pregnancy versus in midlife had different associations with midlife aBMD. We found an adverse association of PFAS measured in midlife with midlife aBMD, particularly among postmenopausal women. Future studies with longer follow-up are needed to elucidate the effect of PFAS on bone health during the peri- and postmenopausal years.","PeriodicalId":308,"journal":{"name":"Environment International","volume":"204 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758213","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":"A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)","authors":"Li-Tang Qin ,&nbsp;Xue-Fang Tian ,&nbsp;Jun-Yao Zhang ,&nbsp;Yan-Peng Liang ,&nbsp;Hong-Hu Zeng ,&nbsp;Ling-Yun Mo","doi":"10.1016/j.envint.2024.109162","DOIUrl":"10.1016/j.envint.2024.109162","url":null,"abstract":"<div><div>Quantitative structure–activity relationships (QSARs) have been used to predict mixture toxicity. However, current research faces gaps in achieving accurate predictions of the mixture toxicity of azole fungicides. To address this gap, the application of machine learning (ML) algorithms has emerged as an effective strategy. In this study, we applied 12 algorithms, namely, k-nearest neighbor (KNN), kernel k-nearest neighbors (KKNN), support vector machine (SVM), random forest (RF), stochastic gradient boosting (GBM), cubist, bagged multivariate adaptive regression splines (Bagged MARS), eXtreme gradient boosting (XGBoost), boosted generalized linear model (GLMBoost), boosted generalized additive model (GAMBoost), bayesian regularized neural networks (BRNN), and recursive partitioning and regression trees (CART) to build ML models for 225 mixture toxicity of azole fungicides towards <em>Auxenochlorella pyrenoidosa</em>. A total of 36 single ML models and 12 consensus models were developed. The results indicated that models employing concentration addition (CA), independent action (IA), and molecular descriptors (MD) as variables demonstrated superior predictive abilities. The consensus model combining SVM and RF algorithms (labeled as CM0) demonstrated the highest level of accuracy in fitting the data, with a coefficient of determination of 0.980. Additionally, it showed strong predictive abilities when tested with external data, achieving an external R² value of 0.945 and a Concordance Correlation Coefficient of 0.967. This study provides a positive contribution to the ecological risk assessment of a mixture of azole fungicides.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"194 ","pages":"Article 109162"},"PeriodicalIF":10.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142694275","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":"Cord plasma metabolomic signatures of prenatal per- and polyfluoroalkyl substance (PFAS) exposures in the Boston Birth Cohort","authors":"Zeyu Li ,&nbsp;Mingyu Zhang ,&nbsp;Xiumei Hong ,&nbsp;Guoying Wang ,&nbsp;Giehae Choi ,&nbsp;Kari C. Nadeau ,&nbsp;Jessie P. Buckley ,&nbsp;Xiaobin Wang","doi":"10.1016/j.envint.2024.109144","DOIUrl":"10.1016/j.envint.2024.109144","url":null,"abstract":"<div><h3>Background</h3><div>Prenatal per- and polyfluoroalkyl substance (PFAS) exposures are associated with adverse offspring health outcomes, yet the underlying pathological mechanisms are unclear. Cord blood metabolomics can identify potentially important pathways associated with prenatal PFAS exposures, providing mechanistic insights that may help explain PFAS' long-term health effects.</div></div><div><h3>Methods</h3><div>The study included 590 mother-infant dyads from the Boston Birth Cohort. We measured PFAS in maternal plasma samples collected 24–72 h after delivery and metabolites in cord plasma samples. We used metabolome-wide association studies and pathway enrichment analyses to identify metabolites and pathways associated with individual PFAS, and quantile-based g-computation models to examine associations of metabolites with the PFAS mixture. We used False Discovery Rate to account for multiple comparisons.</div></div><div><h3>Results</h3><div>We found that 331 metabolites and 18 pathways were associated with ≥ 1 PFAS, and 38 metabolites were associated with the PFAS mixture, predominantly amino acids and lipids. Amino acids such as alanine and lysine and their pathways, crucial to energy generation, biosynthesis, and bone health, were associated with PFAS and may explain PFAS’ effects on fetal growth restriction. Carnitines and carnitine shuttle pathway, associated with 7 PFAS and the PFAS mixture, are involved in mitochondrial fatty acid β-oxidation, which may predispose higher risks of fetal and child growth restriction and cardiovascular diseases. Lipids, such as glycerophospholipids and their related pathway, can contribute to insulin resistance and diabetes by modulating transporters on cell membranes, participating in β-cell signaling pathways, and inducing oxidative damage. Neurotransmission-related metabolites and pathways associated with PFAS, including cofactors, precursors, and neurotransmitters, may explain the PFAS’ effects on child neurodevelopment. We observed stronger associations between prenatal PFAS exposures and metabolites in males.</div></div><div><h3>Conclusions</h3><div>This prospective birth cohort study contributes to the limited literature on potential metabolomic perturbations for prenatal PFAS exposures. Future studies are needed to replicate our findings and link prenatal PFAS associated metabolomic perturbations to long-term child health outcomes.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"194 ","pages":"Article 109144"},"PeriodicalIF":10.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642588","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":"Per- and polyfluoroalkyl substances (PFAS): Trends in mass spectrometric analysis for human biomonitoring and exposure patterns from recent global cohort studies","authors":"Kyung Hwa Kee ,&nbsp;Jeong In Seo ,&nbsp;Su Min Kim ,&nbsp;Jentaie Shiea ,&nbsp;Hye Hyun Yoo","doi":"10.1016/j.envint.2024.109117","DOIUrl":"10.1016/j.envint.2024.109117","url":null,"abstract":"<div><div>Per- and polyfluoroalkyl substances (PFAS) are widespread environmental contaminants that have been shown to contribute to human exposure, thereby raising a range of health concerns. In this context, human biomonitoring is essential for linking exposure levels of PFAS with their potential health risks. Mass spectrometry-based analytical techniques have been extensively adopted for the evaluation of PFAS levels across various cohorts. However, challenges arising from the use of biological samples (e.g., plasma, serum, urine, etc.) necessitate ongoing research and refinement of analytical methodologies. This review provides an overview of current trends in mass spectrometry-based approaches for human biomonitoring of PFAS, including sample collection and preparation, and instrumental techniques. We also explore analytical strategies to overcome challenges in obtaining PFAS-free blank matrices and address the risk of background contamination. Moreover, this review examines differing PFAS exposure patterns across regions by analyzing recent international cohort studies, specifically those conducted in the US and China over the past five years. Accordingly, several key research gaps in biomonitoring studies that need to be addressed moving forward are highlighted.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"194 ","pages":"Article 109117"},"PeriodicalIF":10.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594462","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":"Cresyl diphenyl phosphate (a novel organophosphate ester) induces hepatic steatosis by directly binding to liver X receptor α: From molecule action to risk assessment","authors":"Xinya Liu ,&nbsp;Lanchao Sun ,&nbsp;Yongfeng Lin ,&nbsp;Jingyue Du ,&nbsp;Huizi Yang ,&nbsp;Chuanhai Li","doi":"10.1016/j.envint.2024.109168","DOIUrl":"10.1016/j.envint.2024.109168","url":null,"abstract":"<div><div>Cresyl diphenyl phosphate (CDP), a novel organophosphate ester (OPE), has been increasingly detected in various environmental and human samples. However, its toxicity, mechanisms, and health risks remain largely unknown. In this work, we investigated CDP-induced hepatic steatosis through Liver X Receptor α (LXRα) pathway across the molecular interactions, signaling pathways, cell functions, animal effects, and population risks, and compared them to triphenyl phosphate (TPHP) and tricresyl phosphate (TCRP). Receptor binding results showed that all three OPEs bound to LXRα directly in the order of TCRP &gt; CDP &gt; TPHP. Docking results suggested that the three aryl groups played an essential role in the binding of these chemicals to LXRα. They also activated LXRα-mediated lipogenesis pathway and promoted lipid accumulation in HepG2 cells. The intracellular concentration and LXRα-bound concentration of the chemicals in HepG2 cells followed a consistent order of CDP &gt; TCRP &gt; TPHP. In mice, exposure to CDP activated LXRα-mediated de novo lipogenesis pathway, leading to hepatic steatosis. Risk assessment results suggested that few populations (5.38 %) face a LXRα-mediated hepatic steatosis risk from CDP exposure. Collectively, our results demonstrate that CDP could bind to LXRα, activate the subsequent de novo lipogenesis pathway, inducing hepatic steatosis, and increasing adverse health risks.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"194 ","pages":"Article 109168"},"PeriodicalIF":10.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142718929","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":"Network-based investigation of petroleum hydrocarbons-induced ecotoxicological effects and their risk assessment","authors":"Ajaya Kumar Sahoo ,&nbsp;Shreyes Rajan Madgaonkar ,&nbsp;Nikhil Chivukula ,&nbsp;Panneerselvam Karthikeyan ,&nbsp;Kundhanathan Ramesh ,&nbsp;Shambanagouda Rudragouda Marigoudar ,&nbsp;Krishna Venkatarama Sharma ,&nbsp;Areejit Samal","doi":"10.1016/j.envint.2024.109163","DOIUrl":"10.1016/j.envint.2024.109163","url":null,"abstract":"<div><div>Petroleum hydrocarbons (PHs) are compounds composed mostly of carbon and hydrogen, originating from crude oil and its derivatives. PHs are primarily released into the environment through the diffusion of oils, resulting from anthropogenic activities like transportation and offshore drilling, and accidental incidents such as oil spills. Once released, these PHs can persist in different ecosystems and cause long-term detrimental ecological impacts. While the hazards associated with such PH contaminations are often assessed by the concentrations of total petroleum hydrocarbons in the environment, studies focusing on the risks associated with individual PHs are limited. In this study, different network-based frameworks were utilized to explore and understand the adverse ecological effects associated with PH exposure. First, a list of 320 PHs was systematically curated from published reports. Next, biological endpoint data from toxicological databases was systematically integrated, and a stressor-centric adverse outcome pathway (AOP) network, linking 75 PHs with 177 ecotoxicologically-relevant high confidence AOPs within AOP-Wiki, was constructed. Further, stressor-species networks, based on reported toxicity concentrations and bioconcentration factors data within ECOTOX, were constructed for 80 PHs and 28 PHs, respectively. It was found that crustaceans are documented to be affected by many of these PHs. Finally, the aquatic toxicity data within ECOTOX was used to construct species sensitivity distributions for PHs, and their corresponding hazard concentrations (HC05), that are harmful to 5% of species in the aquatic ecosystem, were derived. Further, the predicted no-effect concentrations (PNECs) and risk quotients for the US EPA priority polycyclic aromatic hydrocarbons (PAHs) were computed by using their environmental concentration data for Indian coastal and river waters. Overall, this study highlights the importance of using network-based approaches and risk assessment methods to understand the PH-induced toxicities effectively.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"194 ","pages":"Article 109163"},"PeriodicalIF":10.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142694274","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":"Longitudinal biomonitoring of mycotoxin exposure during pregnancy in the Yale Pregnancy Outcome Prediction Study","authors":"Magdaléna Krausová ,&nbsp;Kolawole I. Ayeni ,&nbsp;Yunyun Gu ,&nbsp;Yasmin Borutzki ,&nbsp;Jane O’Bryan ,&nbsp;Lauren Perley ,&nbsp;Michelle Silasi ,&nbsp;Lukas Wisgrill ,&nbsp;Caroline H. Johnson ,&nbsp;Benedikt Warth","doi":"10.1016/j.envint.2024.109081","DOIUrl":"10.1016/j.envint.2024.109081","url":null,"abstract":"<div><div>Mycotoxins are fungal toxins that may trigger adverse health effects in pregnant women and their unborn children. Yet, data is scarce on the dynamic exposure patterns of mycotoxins in pregnant women, especially in the United States. This study assessed mycotoxin exposure profiles in women (n = 50) from the Yale Pregnancy Outcome Prediction Study (YPOPS) cohort at four distinct time points. Multi-analyte human biomonitoring assays based on liquid chromatography tandem mass spectrometry (LC-MS/MS), were developed for human serum and plasma matrices. The serum method was applied, together with an established urine method, to quantify mycotoxin levels in longitudinally collected matched serum (n = 200) and spot urine (n = 200) samples throughout pregnancy. The serum samples were mostly contaminated by the potential carcinogen ochratoxin A (detection rate: 46 %; median: 0.09 ng/mL), the hepato- and nephrotoxic citrinin (detection rate: 32 %; median: 0.02 ng/mL) and two enniatins (EnnB; detection rate: 97 %; median: 0.01 ng/mL and EnnB₁; detection rate: 12 %; median: 0.003 ng/mL) which may act as immunotoxins. The most prevalent mycotoxins quantified in urine included deoxynivalenol (detection rate: 99 %; median: 23 ng/mL), alternariol monomethyl ether (detection rate: 69 %; median: 0.04 ng/mL), and zearalenone (detection rate: 63 %; median: 0.16 ng/mL). Seven other biomarkers of exposure including the highly estrogenic α-zearalenol and genotoxic <em>Alternaria</em> toxins, were also determined. Carcinogenic aflatoxins were not detected in any of the samples. Exposure assessment was based on the urinary data and performed by calculating probable daily intakes and comparing the human biomonitoring guidance value (HBM-GV) for deoxynivalenol. The results showed that the individuals exceeded the tolerable daily intake for deoxynivalenol and zearalenone on average at 28 % and 2 % over the different time points. Using the HBM-GV approach, the average exceedances for deoxynivalenol increased to 48 % indicating high exposure. For all the samples in which ochratoxin A was quantified, the estimated margin of exposure for neoplastic effects was below 10,000, indicating possible health concerns. Overall, this study showed that pregnant women were exposed to several regulated and emerging mycotoxins and that exposome-scale assessment should be a future priority in susceptible populations to better characterize xenobiotic exposure.</div></div>","PeriodicalId":308,"journal":{"name":"Environment International","volume":"194 ","pages":"Article 109081"},"PeriodicalIF":10.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142450248","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}