{"title":"Constructing Petroleum-Derived Aryl Hydrocarbon Receptor Related Toxic Source Profiles via Effect-Directed Analysis.","authors":"Zikang Li, Yong He, Xiaoxi Yang, Yi Wang, Yunhe Guo, Yaquan Liu, Shunhao Wang, Jinfeng Peng, Guangbo Qu, Guibin Jiang","doi":"10.1021/envhealth.5c00193","DOIUrl":"10.1021/envhealth.5c00193","url":null,"abstract":"<p><p>Aryl hydrocarbon receptor (AhR)-related toxicity caused by AhR agonists has threatened ecological health, and toxic source apportionment plays an important role in pollution management. However, there are no AhR-related toxic source profiles to date. This study aims to construct petroleum-derived AhR-related toxic source profiles by utilizing the polluted soils after a petroleum leakage accident. Three polluted soils and two unpolluted soils were designed for toxic source profile construction, and we use <i>n</i>-alkanes and their proxy indicators to verify the rationality of classification. Then, the key AhR agonists were identified by effect-directed analysis. We discovered that the key AhR agonists in petroleum-polluted soils are constituted by chrysene, methylated benzo-[<i>a</i>]-anthracene (MeB<i>a</i>A) isomers, and methylated chrysene (MeChr) isomers, where 2-MeChr and 9-MeB<i>a</i>A/3-MeChr contribute the most toxicity. Meanwhile, we also confirmed the existence of synergistic effect. Moreover, the constructed toxic source profile explained most of the toxicity of crude oil, and its specificity was also validated by principal coordinate analysis. In conclusion, this study constructed new petroleum-derived AhR-related toxic source profiles for toxic source apportionment and pollution management, and also provided a new framework for other toxic source profile construction.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 12","pages":"1501-1509"},"PeriodicalIF":6.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12723536/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145828616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sulfidation Affects Macrophage Uptake of Metal-Based Nanomaterials by Dictating Protein Corona Compositions and Aggregation States Collectively.","authors":"Tingting Du, Ziyan Wang, Jiao Chen, Guangbo Qu, Tong Zhang, Wei Chen","doi":"10.1021/envhealth.5c00097","DOIUrl":"10.1021/envhealth.5c00097","url":null,"abstract":"<p><p>Metal-based nanomaterials are one of the most widely used classes of nanomaterials. Understanding their human exposure is critical for the risk management of these nanomaterials. Once released into the environment, metal nanomaterials are prone to undergo sulfidation. This process significantly alters the physicochemical properties of the nanomaterials and subsequently, dictates the extents and pathways of exposure. Here, we show that sulfidation of nanosized Ag, ZnO, CuO, and Cu<sub>2</sub>O affects their macrophage uptake to varied degrees, by differentially regulating protein corona compositions and aggregation states of the nanomaterials. Sulfidation-induced changes in hydrodynamic diameters determine whether macrophage uptake occurs through endocytosis or phagocytosis. For a given uptake pathway, the extents of uptake depend on macrophage recognition of protein corona, the compositions of which are largely influenced by sulfidation. Specifically, increased abundance of transferrin and low-density apolipoprotein C2 in the corona as affected by sulfidation promotes clathrin-mediated endocytosis, while the enrichment of complement factor H facilitates uptake by complement receptor-mediated phagocytosis. The findings advance our understanding on the nanospecific mechanisms governing environmental behaviors and implications of nanomaterials, and further underline the importance of taking into account the aging processes in the risk management of these materials.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 12","pages":"1490-1500"},"PeriodicalIF":6.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12723541/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145828575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MeP Induces Metabolic Disorder and Liver Damage at Human-Relevant Exposure Levels: Role of the Gut Microbiota.","authors":"Henglin Zhang, Yanan Zhao, Haitao Tu, Yuxian Liu, Yiling Lin, Yanpeng Cai, Liang Chi, Tao Zhang, Bingling Dai, Jingchuan Xue","doi":"10.1021/envhealth.5c00111","DOIUrl":"https://doi.org/10.1021/envhealth.5c00111","url":null,"abstract":"<p><p>Methylparaben (MeP) is a widely used preservative found in many consumer products that leads to extensive human exposure. Despite some health concerns, our understanding of MeP's effects on metabolic homeostasis remains limited. This study investigated the effects of MeP on body growth, metabolic homeostasis, and liver health in male C57BL/6J mice. We found that at human-relevant exposure levels, MeP impaired body weight gain, elevated serum tumor necrosis factor-α (TNF-α), disrupted metabolic parameters, and caused liver injury. In addition, these toxic effects were associated with altered gut microbiota composition. Depleting gut bacteria with antibiotics abolished MeP-induced adverse effects on weight, inflammation, and metabolism, although liver damage persisted. This study provides important insights into MeP toxicity in metabolic homeostasis and highlights the key regulatory roles of the gut microbiota.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 11","pages":"1393-1405"},"PeriodicalIF":6.3,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12645305/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145640587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environment & HealthPub Date : 2025-07-22eCollection Date: 2025-11-21DOI: 10.1021/envhealth.5c00160
Yue Wang, Xiufang Liang, Nicholas Andrikopoulos, Shufang Zheng, Yuhuan Li, Pu Chun Ke
{"title":"Cerebral to Systemic Representations of Alzheimer's Pathogenesis Stimulated by Polystyrene Nanoplastics.","authors":"Yue Wang, Xiufang Liang, Nicholas Andrikopoulos, Shufang Zheng, Yuhuan Li, Pu Chun Ke","doi":"10.1021/envhealth.5c00160","DOIUrl":"https://doi.org/10.1021/envhealth.5c00160","url":null,"abstract":"<p><p>Plastics discharged into the ecosphere can transform into micro- and nanoparticles to instigate interactions with biosystems, posing a threat to environmental sustainability and human health. While nanoplastics have recently been identified in abundance in the human brain, especially in the decedent brain tissues of dementia subjects, how these exogenous miniatures mediate neurological as well as systemic pathologies remains unclear. Here, we first investigated how environmental-level nanoplastic exposure influences the progression of Alzheimer's disease, from cerebral to systemic representations. Specifically, polystyrene nanoplastics aggravated Alzheimer's-like symptoms in both wild-type and APP/PS1 mice and stimulated microglial activation and hippocampal neuronal death, accentuated by peripheral abnormalities of lipid accumulation, hepatic steatosis, inflammation, adipocyte enlargement, and gut microbiota imbalance. These findings implicate that nanoplastic-induced neurological damage is not confined within the brain but expands systemically through the gut-liver-brain axis, thereby contributing to the multiscale and multidirectional progression of Alzheimer's pathophysiology.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 11","pages":"1380-1392"},"PeriodicalIF":6.3,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12645312/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145639397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent Advances in Implementation of Machine Learning for Environmental Nontarget Identification.","authors":"Qinyu Bao, Nanyang Yu, Qinting Jiang, Xuebing Wang, Zhaoyu Jiao, Si Wei","doi":"10.1021/envhealth.5c00091","DOIUrl":"https://doi.org/10.1021/envhealth.5c00091","url":null,"abstract":"<p><p>The continuous emergence of new pollutants poses significant threats to both human health and ecological environments. Nontarget analysis based on mass spectrometry has become prevalent for detecting new pollutants due to its high throughput capabilities. However, structural elucidation remains a major challenge in nontarget analysis. Here, we review the implementation of machine learning techniques to accelerate nontarget structural elucidation, with particular focus on spectral library matching, structural database retrieval, and de novo structure generation. We investigated the design principles, technical characteristics, and comparative evaluation of these computational approaches. In addition, we show their applications in environmental nontarget analysis for new pollutant identification. Finally, we discuss the challenges of current approaches and the future development trends. This review aims to deepen the understanding of existing computational approaches, promote the application of machine learning techniques in nontarget identification, and facilitate the integration of artificial intelligence with environmental pollutant analysis.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 11","pages":"1286-1298"},"PeriodicalIF":6.3,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12645304/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145640500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shawninder Chahal, Jun-Ray Macairan, Laura M. Hernandez, Hoai-Nam N. Bui, Anthony Smith, Hans C. E. Larsson and Nathalie Tufenkji*,
{"title":"","authors":"Shawninder Chahal, Jun-Ray Macairan, Laura M. Hernandez, Hoai-Nam N. Bui, Anthony Smith, Hans C. E. Larsson and Nathalie Tufenkji*, ","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 7","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":0.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/envhealth.4c00274","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144646272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}