Environment & Health最新文献

{"title":"Benchmark Dose for Dioxin Based on Gestational Diabetes Mellitus Using Coexposure Statistical Methods and an Optimized Physiologically Based Toxicokinetic Model","authors":"Tao Ying,&nbsp;Xin Liu,&nbsp;Lei Zhang,&nbsp;Wencheng Cao,&nbsp;Sheng Wen,&nbsp;Yongning Wu,&nbsp;Gengsheng He* and Jingguang Li*,&nbsp;","doi":"10.1021/envhealth.4c0001710.1021/envhealth.4c00017","DOIUrl":"https://doi.org/10.1021/envhealth.4c00017https://doi.org/10.1021/envhealth.4c00017","url":null,"abstract":"<p >Dioxins are ubiquitous endocrine-disrupting substances, but determining the effects and benchmark doses in situations of coexposure is highly challenging. The objective of this study was to assess the relationship between dioxin andgestational diabetes mellitus (GDM), calculate the benchmark dose (BMD) of dioxin in coexposure scenarios, and derive a daily exposure threshold using an optimized physiologically based toxicokinetic (PBTK) model. Based on a nested case-control study including 77 cases with GDM and 154 controls, serum levels of 29 dioxin-like compounds (DLCs) along with 10 perfluoroalkyl acids (PFAAs), seven polybrominated diphenyl ethers (PBDEs), and five non-dioxin-like polychlorinated biphenyls (ndl-PCBs) were measured at 9–16 weeks of gestation. Bayesian machine kernel regression (BKMR) was employed to identify significant chemicals, and probit and logistic models were used to calculate BMD adjusted for significant chemicals. A physiologically based toxicokinetic (PBTK) model was optimized using polyfluorinated dibenzo-<i>p</i>-dioxins and dibenzofurans (PFDD/Fs) data by the Bayesian–Monte Carlo Markov chain method and was used to determine the daily dietary exposure threshold. The median serum level of total dioxin toxic equivalent (TEQ) was 7.72 pg TEQ/g fat. Logistic regression analysis revealed that individuals in the fifth quantile of total TEQ level had significantly higher odds of developing GDM compared to those in the first quantile (OR, 8.87; 95% CI 3.19, 27.58). The BKMR analysis identified dioxin TEQ and BDE-153 as the compounds with the greatest influence. The binary logistic and probit models showed that the BMD₁₀ (benchmark dose corresponding to a 10% extra risk) and BMDL₁₀ (lower bound on the BMD₁₀) were 3.71 and 3.46 pg TEQ/g fat, respectively, when accounting for coexposure to BDE-153 up to the 80% level. Using the optimized PBTK model and modifying factor, it was estimated that daily exposure should be below 4.34 pg TEQ kg^–1 bw week^–1 in order to not reach a harmful serum concentration for GDM. Further studies should utilize coexposure statistical methods and physiologically based pharmacokinetic (PBTK) models in reference dose calculation.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 9","pages":"661–671 661–671"},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142270048","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":"Prenatal Environmental Antibiotic Exposure and Autism Spectrum Disorder Symptoms in Children at 3 Years of Age: Findings from the Ma’anshan Birth Cohort Study","authors":"Baolin Wang,&nbsp;Feifei Han,&nbsp;Peng Ding,&nbsp;Juan Tong,&nbsp;Kaiyong Liu,&nbsp;Shuangqin Yan,&nbsp;Sheng Wang,&nbsp;Guanjun Chen,&nbsp;Xiaoyan Wu,&nbsp;Kun Huang,&nbsp;Menglong Geng* and Fangbiao Tao*,&nbsp;","doi":"10.1021/envhealth.4c0003210.1021/envhealth.4c00032","DOIUrl":"https://doi.org/10.1021/envhealth.4c00032https://doi.org/10.1021/envhealth.4c00032","url":null,"abstract":"<p >Antibiotic exposure during pregnancy may affect the neurodevelopment of children, but biomonitoring-based population studies on this class of new pollutants are lacking. We conducted a prospective birth cohort study of 2860 mother–child pairs, measured the urinary concentrations of 41 antibiotics and their two metabolites over three trimesters, and assessed children’s autism spectrum disorder (ASD) symptoms at 3 years of age. We examined the associations between prenatal antibiotic exposure and children’s ASD symptoms. The least absolute shrinkage and selection operator regression screened for Tetracycline and Ofloxacin as important predictors of ASD symptoms. Modified Poisson regression models revealed that maternal Tetracycline exposure throughout pregnancy increased the risk of ASD symptoms (RR: 1.66, 95% CI: 1.14, 2.40). Maternal Tetracycline exposure during the first (RR: 1.74, 95% CI: 1.13, 2.68) and third trimesters (RR: 1.86, 95% CI: 1.16, 3.00) increased the risk of ASD symptoms in boys, and Ofloxacin exposure during the first trimester (RR: 1.47, 95% CI: 1.07, 2.02) increased the risk of ASD symptoms in girls. No dose-dependent relationships between prenatal antibiotic exposure and ASD symptoms were validated by restricted cubic splines. Prenatal exposure to Tetracycline and Ofloxacin may increase the risk of ASD symptoms in children, and the first and third trimesters might be the key windows.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 9","pages":"651–660 651–660"},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142269997","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":"Development of a Method to Determine the Environmental Burden of Diseases and an Application to Identify Factors Driving Changes in the Number of PM2.5-Related Deaths in China between 2000 and 2010","authors":"Ning Kang,&nbsp;Pengfei Li,&nbsp;Tao Xue* and Tong Zhu,&nbsp;","doi":"10.1021/envhealth.4c0004810.1021/envhealth.4c00048","DOIUrl":"https://doi.org/10.1021/envhealth.4c00048https://doi.org/10.1021/envhealth.4c00048","url":null,"abstract":"<p >The attributable burden is codetermined by the exposure level and nontarget characteristics. However, the conventional method of health impact assessment based on preestablished exposure–response functions includes only a few well-known characteristics and thus is insufficient to capture the comprehensive variation. We aimed to develop a method to fuse health impact assessment with epidemiological analysis and to identify factors driving baseline risk. The method was applied to identify the factors underlying the change in the number of fine particulate matter (PM_2.5) related deaths in China between 2000 and 2010. During the study period, the number of PM_2.5-related deaths across mainland China increased by 0.62 (95% CI: 0.57, 0.69) million, with 0.65 (95% CI: 0.47, 0.91) million, 0.55 (95% CI: 0.39, 0.79) million, and 0.11 (95% CI: 0.06, 0.18) million deaths being associated with increased PM_2.5 exposure, population aging, and growth in population size, respectively. However, economic growth, urbanization, improvement of welfare services, and improvement of hospital services resulted in 0.25 (95% CI: 0.15, 0.40) million, 0.16 (95% CI: 0.10, 0.27) million, 0.16 (95% CI: 0.09, 0.26) million, and 0.09 (95% CI: 0.05, 0.15) million fewer deaths, respectively. Results indicated that increased exposure was the major driver of the change in the number of PM_2.5-related deaths, and economic growth was the main driver of increased resilience to air pollution.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 9","pages":"642–650 642–650"},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273767","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":"Development of “Threshold Microplastics Concentration” Concept and Framework in Drinking Water","authors":"Fengbang Wang,&nbsp; and ,&nbsp;Maoyong Song*,&nbsp;","doi":"10.1021/envhealth.4c00086","DOIUrl":"10.1021/envhealth.4c00086","url":null,"abstract":"","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 7","pages":"422–423"},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141365533","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":"Predicting the Bioaccessibility of Soil Cd, Pb, and As with Advanced Machine Learning for Continental-Scale Soil Environmental Criteria Determination in China","authors":"Kunting Xie,&nbsp;Jiajun Ou,&nbsp;Minghao He,&nbsp;Weijie Peng and Yong Yuan*,&nbsp;","doi":"10.1021/envhealth.4c0003510.1021/envhealth.4c00035","DOIUrl":"https://doi.org/10.1021/envhealth.4c00035https://doi.org/10.1021/envhealth.4c00035","url":null,"abstract":"<p >Investigating the bioaccessibility of harmful inorganic elements in soil is crucial for understanding their behavior in the environment and accurately assessing the environmental risks associated with soil. Traditional batch experimental methods and linear models, however, are time-consuming and often fall short in precisely quantifying bioaccessibility. In this study, using 937 data points gathered from 56 journal articles, we developed machine learning models for three harmful inorganic elements, namely, Cd, Pb, and As. After thorough analysis, the model optimized through a boosting ensemble strategy demonstrated the best performance, with an average <i>R</i>² of 0.95 and an RMSE of 0.25. We further employed SHAP values in conjunction with quantitative analysis to identify the key features that influence bioaccessibility. By utilizing the developed integrated models, we carried out predictions for 3002 data points across China, clarifying the bioaccessibility of cadmium (Cd), lead (Pb), and arsenic (As) in the soils of various sites and constructed a comprehensive spatial distribution map of China using the inverse distance weighting (IDW) interpolation method. Based on these findings, we further derived the soil environmental standards for metallurgical sites in China. Our observations from the collected data indicate a reduction in the number of sites exceeding the standard levels for Cd, Pb, and As in mining/smelting sites from 5, 58, and 14 to 1, 24, and 7, respectively. This research offers a precise and scientific approach for cross-regional risk assessment at the continental scale and lays a solid foundation for soil environmental management.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 9","pages":"631–641 631–641"},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142270050","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":"Association between Long-Term Exposure to PM2.5 Inorganic Chemical Compositions and Cardiopulmonary Mortality: A 22-Year Cohort Study in Northern China","authors":"Hongyue Sun,&nbsp;Xi Chen,&nbsp;Wenzhong Huang,&nbsp;Jing Wei,&nbsp;Xueli Yang,&nbsp;Anqi Shan,&nbsp;Liwen Zhang,&nbsp;Honglu Zhang,&nbsp;Jiayu He,&nbsp;Chengjie Pan,&nbsp;Jingjing Li,&nbsp;Jing Wu,&nbsp;Tong Wang,&nbsp;Jie Chen,&nbsp;Yuming Guo,&nbsp;Shilu Tong,&nbsp;Guanghui Dong* and Nai-Jun Tang*,&nbsp;","doi":"10.1021/envhealth.4c0002010.1021/envhealth.4c00020","DOIUrl":"https://doi.org/10.1021/envhealth.4c00020https://doi.org/10.1021/envhealth.4c00020","url":null,"abstract":"<p >Particulate matter with diameters ≤2.5 μm (PM_2.5) has been identified as a significant air pollutant contributing to premature mortality. Nevertheless, the specific compositions within PM_2.5 that play the most crucial role remain unclear, especially in areas with high pollution concentrations. This study aims to investigate the individual and joint mortality risks associated with PM_2.5 inorganic chemical compositions and identify primary contributors. In 1998, we conducted a prospective cohort study in four northern Chinese cities (Tianjin, Shenyang, Taiyuan, and Rizhao). Satellite-based machine learning models calculated PM_2.5 inorganic chemical compositions, including sulfate (SO₄^2–), nitrate (NO₃^–), ammonium (NH₄⁺), and chloride (Cl^–). A time-varying Cox proportional hazards model was applied to analyze associations between these compositions and cardiorespiratory mortality, encompassing nonaccidental causes, cardiovascular diseases (CVDs), nonmalignant respiratory diseases (RDs), and lung cancer. The quantile-based g-computation model evaluated joint exposure effects and relative contributions of the compositions. Stratified analysis was used to identify vulnerable subpopulations. During 785,807 person-years of follow-up, 5812 (15.5%) deaths occurred from nonaccidental causes, including 2932 (7.8%) from all CVDs, 479 (1.3%) from nonmalignant RDs, and 552 (1.4%) from lung cancer. Every interquartile range (IQR) increase in SO₄^2– was associated with mortality from nonaccidental causes (hazard ratio: 1.860; 95% confidence interval: 1.809, 1.911), CVDs (1.909; 1.836, 1.985), nonmalignant RDs (2.178; 1.975, 2.403), and lung cancer (1.773; 1.624, 1.937). In the joint exposure model, a simultaneous rise of one IQR in all four compositions increased the risk of cardiorespiratory mortality by at least 36.3%, with long-term exposure to SO₄^2– contributing the most to nonaccidental and cardiopulmonary deaths. Individuals with higher incomes and lower education levels were found to be more vulnerable. Long-term exposure to higher levels of PM_2.5 inorganic compositions was associated with significantly increased cardiopulmonary mortality, with SO₄^2– potentially being the primary contributor. These findings offer insights into how PM_2.5 sources impact health, aiding the development of more effective governance measures.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 8","pages":"530–540 530–540"},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141990272","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":"Multifaceted Aquatic Environmental Differences between Nanoplastics and Microplastics: Behavior and Fate","authors":"Sheng Wang,&nbsp;Noor Sulaiman AL-Hasni,&nbsp;Zhaoli Liu and Airong Liu*,&nbsp;","doi":"10.1021/envhealth.4c0001310.1021/envhealth.4c00013","DOIUrl":"https://doi.org/10.1021/envhealth.4c00013https://doi.org/10.1021/envhealth.4c00013","url":null,"abstract":"<p >Microplastics and nanoplastics are emerging pollutants of concern in the aquatic environment that are causing increasing global environmental and human health problems. Although there has been extensive research on microplastics and nanoplastics, little has been said about the differences in their behavior in the aquatic environment, and many studies have considered them as the same class of hazardous materials; but in fact, microplastics and nanoplastics should be considered as two different types of environmentally hazardous materials. In this review, we propose that microplastics and nanoplastics behave in the aquatic environment in a size-dependent manner and should be distinguished. And we systematically analyzed the differences in the behavior of microplastics and nanoplastics in the aquatic environment in terms of five aspects: 1) distribution behavior; 2) adsorption behavior; 3) reaction with natural colloids; 4) aging and leaching behavior; 5) interaction with organisms. This paper has been written to draw academic attention to the different behaviors of microplastics and nanoplastics in the aquatic environment in order to distinguish between their effects on humans and the environment.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 10","pages":"688–701 688–701"},"PeriodicalIF":0.0,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142450460","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":"Protein Corona Formation on Cadmium-Bearing Nanoparticles: Important Role of Facet-Dependent Binding of Cysteine-Rich Proteins","authors":"Yu Qi,&nbsp;Wenyu Guan,&nbsp;Chuanjia Jiang*,&nbsp;Wei Chen and Tong Zhang*,&nbsp;","doi":"10.1021/envhealth.4c0003110.1021/envhealth.4c00031","DOIUrl":"https://doi.org/10.1021/envhealth.4c00031https://doi.org/10.1021/envhealth.4c00031","url":null,"abstract":"<p >Cadmium-bearing nanoparticles, such as nanoparticulate cadmium selenide (CdSe) and cadmium sulfide (CdS), widely exist in the environment and originate from both natural and anthropogenic sources. Risk assessment of these nanoparticles cannot be accurate without taking into account the properties of the protein corona that is acquired by the nanoparticles upon biouptake. Here, we show that the compositions of the protein corona on CdSe/CdS nanoparticles are regulated collectively by the surface atomic arrangement of the nanoparticles and the abundance and distribution of cysteine moieties of the proteins in contact with the nanoparticles. A proteomic analysis shows that the observed facet-dependent preferential binding of proteins is mostly related to the cysteine contents of the proteins, among commonly recognized protein properties controlling the formation of the protein corona. Theoretical calculations further demonstrate that the atomic arrangement of surface Cd atoms, as dictated by the exposed facets of the nanoparticles, controls the specific binding mode of the S atoms in the disulfide bonds of the proteins. Supplemental protein adsorption experiments confirm that disulfide bonds remain intact during protein adsorption, making the binding of protein molecules sensitive to the abundance and distribution of Cd-binding moieties and possibly molecular rigidity of the proteins. The significant conformational changes of adsorbed proteins evidenced from a circular dichroism spectroscopy analysis suggest that disrupting the structural stability of proteins may be an additional risk factor of Cd-bearing nanoparticles. These findings underline that the unique properties and behaviors of nanoparticles must be fully considered when evaluating the biological effects and health risks of metal pollutants.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 9","pages":"623–630 623–630"},"PeriodicalIF":0.0,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273770","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":"Protein Corona Formation on Cadmium-Bearing Nanoparticles: Important Role of Facet-Dependent Binding of Cysteine-Rich Proteins.","authors":"Yu Qi, Wenyu Guan, Chuanjia Jiang, Wei Chen, Tong Zhang","doi":"10.1021/envhealth.4c00031","DOIUrl":"https://doi.org/10.1021/envhealth.4c00031","url":null,"abstract":"<p><p>Cadmium-bearing nanoparticles, such as nanoparticulate cadmium selenide (CdSe) and cadmium sulfide (CdS), widely exist in the environment and originate from both natural and anthropogenic sources. Risk assessment of these nanoparticles cannot be accurate without taking into account the properties of the protein corona that is acquired by the nanoparticles upon biouptake. Here, we show that the compositions of the protein corona on CdSe/CdS nanoparticles are regulated collectively by the surface atomic arrangement of the nanoparticles and the abundance and distribution of cysteine moieties of the proteins in contact with the nanoparticles. A proteomic analysis shows that the observed facet-dependent preferential binding of proteins is mostly related to the cysteine contents of the proteins, among commonly recognized protein properties controlling the formation of the protein corona. Theoretical calculations further demonstrate that the atomic arrangement of surface Cd atoms, as dictated by the exposed facets of the nanoparticles, controls the specific binding mode of the S atoms in the disulfide bonds of the proteins. Supplemental protein adsorption experiments confirm that disulfide bonds remain intact during protein adsorption, making the binding of protein molecules sensitive to the abundance and distribution of Cd-binding moieties and possibly molecular rigidity of the proteins. The significant conformational changes of adsorbed proteins evidenced from a circular dichroism spectroscopy analysis suggest that disrupting the structural stability of proteins may be an additional risk factor of Cd-bearing nanoparticles. These findings underline that the unique properties and behaviors of nanoparticles must be fully considered when evaluating the biological effects and health risks of metal pollutants.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 9","pages":"623-630"},"PeriodicalIF":0.0,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540113/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142606522","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":"Effect of Elevated Temperatures on Inflammatory Cytokine Release: An In Vitro and Population-Based Study","authors":"Xiaoxu Hu,&nbsp;Hualing Fu,&nbsp;Luou Zhang,&nbsp;Qian Zhang,&nbsp;Tong Xu,&nbsp;Yangsheng Chen,&nbsp;Guomin Chen,&nbsp;Shuai Jiang,&nbsp;Jiajia Ji,&nbsp;Heidi Qunhui Xie,&nbsp;Li Xu* and Bin Zhao*,&nbsp;","doi":"10.1021/envhealth.4c0005910.1021/envhealth.4c00059","DOIUrl":"https://doi.org/10.1021/envhealth.4c00059https://doi.org/10.1021/envhealth.4c00059","url":null,"abstract":"<p >Extreme high temperatures in the summer have become a global concern, and their risks to the inflammatory system have been largely unknown. Here we appraised the exposure risks of summer heatwaves by comparing the sera cytokine levels in healthy individuals under high and normal temperatures. In addition, we established a cell model with a 1.5 °C temperature increase to investigate the regulatory mechanisms of temperature-related cytokines. Our results suggest that elevated temperatures enhance the release of interleukin-6 (IL-6) and interleukin-8 (IL-8) via the aryl hydrocarbon receptor (AhR) pathway and augment the pro-inflammatory effects of other factors. This suggests that we may have underestimated the impact of high temperatures on the health of individuals beyond just mortality rates. Moreover, seemingly minor temperature increases of just 1.5 °C can still pose a challenge to cells.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"2 10","pages":"721–728 721–728"},"PeriodicalIF":0.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448966","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}