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Probabilistic approach reveals the toxicity threshold values of free-living raptors in Great Britain, United Kingdom, for the lethal effect of second-generation anticoagulant rodenticides 概率方法揭示了第二代抗凝血灭鼠剂对英国自由生活的猛禽的致死作用的毒性阈值
IF 11.8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-24 DOI: 10.1016/j.envint.2026.110099
Shinji Ozaki, Elizabeth A. Barnett, Heather Carter, Jacqueline S. Chaplow, Sheonaidh Charman, Megan Galloway, M. Glória Pereira, Elaine Potter, Anthony W. Sainsbury, Tammy Shadbolt, Elizabeth A. Sharp, Graeme Shaw, Darren Sleep, Lee A. Walker, Suzane M. Qassim
Second-generation anticoagulant rodenticides (SGARs) are recognised as an effective tool for rodent pest control. However, the use of SGARs enhances their exposure of non-target species and can cause lethal and sublethal effects on these species, including free-living raptors. Although certain liver SGAR residue concentrations from laboratory experimental studies have been considered as conventional thresholds, determining the threshold values for free-living predatory birds remains a challenge. In this study, we estimated the toxicity threshold values for liver SGAR residues associated with lethal SGAR poisoning (i.e., mortality by coagulopathy due to SGAR contamination), using a probabilistic modelling approach with data of red kites (Milvus milvus) and common buzzards (Buteo buteo) from Great Britain, United Kingdom. We also assessed factors influencing the relationship between lethal SGAR poisoning and liver SGAR concentrations.
第二代抗凝血灭鼠剂(SGARs)被认为是防治鼠害的有效工具。然而,SGARs的使用增加了它们对非目标物种的暴露,并可能对这些物种造成致命和亚致命的影响,包括自由生活的猛禽。虽然实验室实验研究得出的某些肝脏SGAR残留浓度被认为是常规阈值,但确定自由生活的掠食性鸟类的阈值仍然是一个挑战。在这项研究中,我们利用来自英国的红鸢(Milvus Milvus)和普通秃鹰(Buteo Buteo)的数据,使用概率建模方法估计了与致命性SGAR中毒(即由于SGAR污染引起的凝血功能障碍死亡)相关的肝脏SGAR残留物的毒性阈值。我们还评估了影响致死SGAR中毒与肝脏SGAR浓度之间关系的因素。
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引用次数: 0
Variations in the expression and function of SARS-CoV-2 entry molecules induced by exposure to nano- and microparticles 暴露于纳米和微粒诱导的SARS-CoV-2进入分子表达和功能的变化
IF 9.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-23 DOI: 10.1016/j.envint.2026.110094
Raga Ishikawa , Issei Omori , Tomoya Sagawa , Akiko Honda , Hirohisa Takano
Several epidemiological studies have reported an association between the onset and severity of coronavirus disease 2019 and exposure to particulate matter (PM). However, the detailed molecular mechanisms remain unclear. In this study, we evaluated variations in the expression and function of angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2), the entry molecules of SARS-CoV-2, when type II alveolar epithelial cells were exposed to titanium dioxide particles (TiO2), diesel exhaust particles (DEP), and Asian sand dust (ASD). The results showed that TiO2 exposure increased the expression and activity of ACE2 and TMPRSS2 on the exposed cells, while ASD exposure only increased the activity of TMPRSS2. Furthermore, we found that serine protease inhibitors such as nafamostat can regulate TMPRSS2 activity promoted by PM exposure. Our results provide experimental evidence that exposure to PM with specific properties may enhance intracellular entry of SARS-CoV-2.
几项流行病学研究报告称,2019年冠状病毒病的发病和严重程度与暴露于颗粒物(PM)之间存在关联。然而,具体的分子机制尚不清楚。在这项研究中,我们评估了当II型肺泡上皮细胞暴露于二氧化钛颗粒(TiO2)、柴油废气颗粒(DEP)和亚洲沙尘(ASD)时,血管紧张素转换酶2 (ACE2)和跨膜蛋白酶丝氨酸2 (TMPRSS2)的表达和功能的变化,这是SARS-CoV-2的进入分子。结果表明,TiO2暴露可增加暴露细胞上ACE2和TMPRSS2的表达和活性,而ASD暴露仅增加TMPRSS2的活性。此外,我们发现丝氨酸蛋白酶抑制剂如nafamostat可以调节PM暴露促进的TMPRSS2活性。我们的研究结果提供了实验证据,表明暴露于具有特定性质的PM可能会增强SARS-CoV-2的细胞内进入。
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引用次数: 0
Maternal preconception and gestational exposure to a mixture of short half-life food chemicals altered fetoplacental development in a rabbit model, based on a French mother-child cohort 在一项基于法国母婴队列的兔模型中,母体孕前和妊娠期暴露于短半衰期食品化学物质混合物中改变了胎儿胎盘发育
IF 11.8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-22 DOI: 10.1016/j.envint.2026.110092
Jeanne Bozec, Delphine Rousseau-Ralliard, Nicolas Jovanovic, Marion Ouidir, Louise Angrand, Donya Popping, Sophie Calderari, Michèle Dahirel, Natalie Fournier, Gwendoline Morin, Louise Lemarie, Christophe Richard, Valérie Gelin, Véronique Gayrard, Claire Philippat, Anne Couturier-Tarrade
Pregnant women from the general population are exposed daily to chemicals that can affect offspring’s health. The current study aimed to evaluate the effects of a mixture of chemicals on maternal and fetal health in the rabbit model, which was defined based on associations between urinary concentrations of chemicals in pregnant women from the SEPAGES cohort and offspring outcomes.From the SEPAGES cohort data, a mixture including 3 phenols, 1 paraben and four phthalates was established and used in a rabbit model. Female rabbits were exposed orally from preconception to 28 days post-conception (dpc) to this mixture (PPP exposed group, PPP) or excipient (control group, C) daily at the doses, estimated from the maximum urinary concentrations observed in the cohort. Maternal and fetoplacental phenotype were characterized.Maternal glucose concentration decreased significantly in the PPP group, before mating. At 21 dpc, ultrasound monitoring showed that fetal body length and abdominal perimeter were increased in PPP group compared to C group. At 28 dpc, heart to bodyweight ratio was increased in PPP females compared to C females. At this stage, fetal blood biochemistry showed a decrease in insulin levels, while triglycerides and total protein increased, mostly in PPP males compared to controls.Exposure to a PPP mixture defined from a human mother–child cohort impacted rabbit maternal phenotype and affected fetal health in a sex-specific manner, suggesting that this mixture could induce fetal malprogramming with long-term effects.
普通人群中的孕妇每天都暴露在可能影响后代健康的化学物质中。目前的研究旨在评估化学物质混合物对兔模型中母体和胎儿健康的影响,该模型是根据SEPAGES队列中孕妇尿液中化学物质浓度与后代结局之间的关系来定义的。根据SEPAGES队列数据,建立了包含3种酚类、1种对羟基苯甲酸酯和4种邻苯二甲酸酯的混合物,并用于家兔模型。雌性家兔从孕前到受孕后28 天(dpc)每天口服暴露于该混合物(PPP暴露组,PPP)或辅料(对照组,C),剂量根据队列中观察到的最大尿液浓度估计。对母体和胎胎盘表型进行了表征。在交配前,PPP组的母体葡萄糖浓度显著降低。21 dpc超声监测显示,PPP组胎儿体长和腹围较C组增加。28 dpc时,与C组女性相比,PPP组女性的心重比增加。在这个阶段,胎儿血液生化显示胰岛素水平下降,而甘油三酯和总蛋白增加,与对照组相比,主要是PPP男性。暴露于从人类母婴队列定义的PPP混合物中,会影响兔子的母体表型,并以性别特异性的方式影响胎儿健康,这表明这种混合物可能诱导胎儿编程不良,并产生长期影响。
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引用次数: 0
PFOA and co-exposure with PFOS induce AMPK-dependent hypoglycemia in mice: integrated evidence from physiology, multi-omics, and molecular docking PFOA和与PFOS共暴露诱导小鼠ampk依赖性低血糖:来自生理学、多组学和分子对接的综合证据
IF 11.8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-22 DOI: 10.1016/j.envint.2026.110076
Chang Jiajun, Xu Xiaojuan, Chen Shiyan, Yan Xiaoli, Zhao Yan, Zhang Junfang, Zhu Zhiliang, Yin Daqiang, Qiu Yanling
Per- and polyfluoroalkyl substances, notably perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), are persistent environmental contaminants with increasing evidence of metabolic toxicity. However, their effects on glucose homeostasis and the underlying mechanisms remain unclear. In this study, we investigated the metabolic consequences of PFOA, PFOS and co-exposure in male C57BL/6 mice for 28 days. Physiological indicators, including fasting blood glucose and hepatic glycogen, were evaluated, followed by transcriptomic, metabolomic, and molecular docking analyses. We found that PFOA and PFOS co-exposure significantly induced hypoglycemia and reduced hepatic glycogen content. Transcriptomic and metabolomic profiling revealed enriched pathways related to glucose metabolism, with the AMPK signaling pathway identified as a central mediator. Notably, PFOA and co-exposure upregulated glycolytic and fatty acid oxidation genes, while suppressing glycogen synthesis regulators. Molecular docking further indicated that both PFOA and PFOS could bind to adiponectin receptors (AdipoR1/2), potentially disrupting normal receptor-mediated AMPK activation. Together, these findings establish an AdipoR1/2–AMPK-mediated mechanism for PFAS-induced glucose metabolic disruption, particularly under PFOA or co-exposure. We provide the integrated physiological and mechanistic evidence linking PFAS exposure to AMPK-dependent hypoglycemia, highlighting the need for metabolic health risk assessments of PFAS mixtures in the environment
全氟烷基和多氟烷基物质,特别是全氟辛酸和全氟辛烷磺酸,是持久性环境污染物,越来越多的证据表明其具有代谢毒性。然而,它们对葡萄糖稳态的影响及其潜在机制尚不清楚。在这项研究中,我们研究了PFOA、PFOS和共暴露在雄性C57BL/6小鼠28 天的代谢后果。生理指标,包括空腹血糖和肝糖原,进行评估,然后进行转录组学、代谢组学和分子对接分析。我们发现全氟辛烷磺酸和全氟辛烷磺酸共同暴露可显著诱导低血糖和降低肝糖原含量。转录组学和代谢组学分析揭示了与葡萄糖代谢相关的丰富通路,其中AMPK信号通路被确定为中心介质。值得注意的是,PFOA和共暴露上调了糖酵解和脂肪酸氧化基因,同时抑制了糖原合成调节因子。分子对接进一步表明,PFOA和PFOS都可以结合脂联素受体(AdipoR1/2),潜在地破坏正常受体介导的AMPK激活。总之,这些发现建立了adipor1 /2 - ampk介导的pfas诱导的葡萄糖代谢破坏机制,特别是在PFOA或共暴露下。我们提供了将PFAS暴露与ampk依赖性低血糖联系起来的综合生理和机制证据,强调了对环境中PFAS混合物的代谢健康风险评估的必要性
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引用次数: 0
Machine learning assessment of fungicide ecotoxicity using multi-species biomarkers and an early risk warning system 使用多物种生物标志物和早期风险预警系统的杀菌剂生态毒性的机器学习评估
IF 9.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.envint.2026.110089
Litang Qin , Sihui Hao , Lu Rong , Lei Wang , Chuanjiang Zeng , Yan Tian , Yanpeng Liang , Honghu Zeng , Ning Huang , Lingyun Mo
The widespread use of fungicides has raised significant concerns regarding their ecotoxicological risks. However, most existing studies are limited to single compounds, species, or endpoints. This study developed interpretable machine learning models to assess the toxicity of fungicides across soil and aquatic organisms, incorporating 30 mechanistic biomarkers (9 for soil organisms and 21 for aquatic organisms). Using 21 algorithms, 672 classification models were constructed. Gradient Boosting and Tree-based methods outperformed other approaches, achieving Receiver Operating Characteristic − Area Under the Curve values of 0.990–1.000 (training) and 0.861–1.000 (testing). Internal validation (leave-one-out cross-validation, repeated 5-fold validation, and bootstrap resampling) and external validation (independent test set) collectively confirmed the model’s robust predictive capability and strong generalization performance. SHapley Additive exPlanations analysis identified malondialdehyde (MDA) and reactive oxygen species (ROS) as the most influential biomarkers. An early-risk warning tool with a graphical user interface was developed using MDA and ROS for rapid risk assessment. This study establishes a mechanism-driven framework that leverages machine learning and key biomarkers to not only advance the predictive assessment of fungicide ecological risks but also provide a scientific basis for proactive early risk warning and targeted management.
杀菌剂的广泛使用引起了人们对其生态毒理学风险的重大关注。然而,大多数现有的研究仅限于单一化合物、物种或终点。本研究开发了可解释的机器学习模型来评估杀菌剂对土壤和水生生物的毒性,纳入了30种机械生物标志物(9种用于土壤生物,21种用于水生生物)。采用21种算法,构建了672个分类模型。梯度增强和基于树的方法优于其他方法,获得了0.990-1.000(训练)和0.861-1.000(测试)的Receiver Operating Characteristic−Area Under Curve值。内部验证(留一交叉验证、重复5倍验证和自举重采样)和外部验证(独立测试集)共同证实了模型的鲁棒预测能力和强大的泛化性能。SHapley添加剂解释分析发现丙二醛(MDA)和活性氧(ROS)是最具影响力的生物标志物。利用MDA和ROS开发了具有图形用户界面的早期风险预警工具,用于快速风险评估。本研究建立了一个机制驱动的框架,利用机器学习和关键生物标志物,不仅可以推进杀菌剂生态风险的预测评估,还可以为主动早期风险预警和针对性管理提供科学依据。
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引用次数: 0
Efficient nitrogen removal from acrylic fiber wastewater achieved by the partial denitrification-anammox granule process through gradient-driven microbial remodeling 部分反硝化-厌氧氨氧化颗粒工艺通过梯度驱动的微生物重塑实现腈纶废水的高效脱氮
IF 9.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.envint.2026.110088
Chan Chai , Yongzhen Peng , Jialin Li , Xiyao Li , Hui Wang , Liang Zhang
The partial denitrification-anammox (PDA) process holds promise for nitrogen removal in acrylic fiber wastewater (AFW), yet its application stability is challenged by the sensitivity of anammox bacteria. This study applied a gradient-driven microbial remodeling strategy to the partial denitrification-anammox (PDA) granule process, incrementally increasing the acrylic fiber wastewater (AFW) influent ratio (30%, 60%, 100% v/v) to steer microbial adjustments. The engineered PDA granules achieved 90.4% ± 2.4% total nitrogen removal with more than 85% via the anammox pathway, under a carbon-to-nitrogen ratio of 1.5 and a hydraulic retention time of 10.7h. A critical outcome was the establishment of a highly robust partial denitrification (PD), consistently maintaining a nitrite accumulation ratio of over 70% to ensure sufficient nitrite substrate for anammox. Furthermore, the production of protein-rich extracellular polymeric substances (EPS) increased markedly through positive microbe responses, enhancing the granular integrity and stability. Crucially, an adaptively self-organized, stratified granule architecture emerged: Thauera (52.6%) in the outer layer drove the PD process and EPS formation, creating a spatially sheltered core where Candidatus Brocadia (1.6%) thrived. This work demonstrates that leveraging the inherent AFW inhibition as a gradient-driven force is a viable strategy to remodel microbial structure and function, securing the efficient anammox performance, which provides valuable insights for sustainable nitrogen management in recalcitrant wastewater.
部分反硝化-厌氧氨氧化(PDA)工艺有望去除腈纶废水中的氮,但其应用稳定性受到厌氧氨氧化菌敏感性的挑战。本研究将梯度驱动的微生物重塑策略应用于部分反硝化-厌氧氨氧化(PDA)颗粒工艺,逐步增加腈纶废水(AFW)的进水比例(30%,60%,100% v/v)来引导微生物调节。在碳氮比为1.5、水力停留时间为10.7h的条件下,经厌氧氨氧化处理的PDA颗粒的总氮去除率为90.4%±2.4%,达到85%以上。一个关键的结果是建立了一个高度稳健的部分反硝化(PD),持续保持超过70%的亚硝酸盐积累比率,以确保厌氧氨氧化有足够的亚硝酸盐基质。此外,通过积极的微生物反应,富含蛋白质的细胞外聚合物(EPS)的产量显著增加,增强了颗粒的完整性和稳定性。至关重要的是,一种自适应自组织的分层颗粒结构出现了:外层的Thauera(52.6%)驱动PD过程和EPS的形成,创造了一个空间庇护的核心,Candidatus Brocadia(1.6%)在这里茁壮成长。这项工作表明,利用固有的AFW抑制作为梯度驱动的力量是改造微生物结构和功能的可行策略,确保高效的厌氧氨氧化性能,这为顽固废水的可持续氮管理提供了有价值的见解。
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引用次数: 0
Prenatal exposure to persistent organic pollutants modulates the metabolism and gut microbiota of the offspring 产前暴露于持久性有机污染物会调节后代的代谢和肠道微生物群
IF 9.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.envint.2026.110080
Santosh Lamichhane , Samira Salihovic , Tim Sinioja , Suvi M. Virtanen , Tommi Vatanen , Matej Orešič , Mikael Knip , Tuulia Hyötyläinen
Emerging evidence suggests that environmental contaminants can influence both human metabolism and gut microbiota composition. However, the specific effects of prenatal exposure to persistent organic pollutants (POPs) on host–microbiome metabolic interactions remain incompletely understood. In this study, we investigated associations between prenatal exposure to POPs, including organochlorine pesticides, polychlorinated biphenyls (PCBs), and per- and polyfluoroalkyl substances (PFAS), and growth, metabolic profiles, and gut microbiota composition in infants at three months of age. Prenatal POP exposure was strongly associated with alterations in the infant metabolome, particularly affecting lipid metabolism and microbiota-derived metabolites. Among the POPs examined, PCBs showed the most pronounced influence on both metabolic profiles and gut microbial composition. The most affected metabolic pathways included fatty acid metabolism, bile acid transformation, and steroid hormone biosynthesis. Furthermore, prenatal POP exposure significantly altered the composition of the gut microbiome. PCB exposure was linked to reduced Bifidobacterium bifidum and Lactobacillus paragasseri, and increased Erysipelatoclostridium ramosum, along with disruptions in bile acid and amino acid metabolism. These findings suggest that early-life exposure to POPs can disrupt host–microbiome metabolic interactions, potentially through perturbation of lipid- and amino acid–related pathways.
新出现的证据表明,环境污染物可以影响人体代谢和肠道微生物群组成。然而,产前暴露于持久性有机污染物(POPs)对宿主-微生物代谢相互作用的具体影响仍不完全清楚。在这项研究中,我们调查了产前暴露于持久性有机污染物(包括有机氯农药、多氯联苯(PCBs)、全氟和多氟烷基物质(PFAS)与3个月大婴儿的生长、代谢特征和肠道微生物群组成之间的关系。产前POP暴露与婴儿代谢组的改变密切相关,特别是影响脂质代谢和微生物衍生代谢物。在所检测的持久性有机污染物中,多氯联苯对代谢谱和肠道微生物组成的影响最为显著。受影响最大的代谢途径包括脂肪酸代谢、胆汁酸转化和类固醇激素生物合成。此外,产前POP暴露显著改变了肠道微生物组的组成。多氯联苯暴露与两歧双歧杆菌和副嗜乳杆菌减少、雷氏丹毒梭状芽胞杆菌增加以及胆汁酸和氨基酸代谢紊乱有关。这些发现表明,生命早期暴露于持久性有机污染物可破坏宿主-微生物组代谢相互作用,可能通过扰乱脂质和氨基酸相关途径。
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引用次数: 0
Exploring the mechanism of PPCPs on human digestive system-related chronic inflammatory diseases based on network toxicology and molecular docking 基于网络毒理学和分子对接的PPCPs治疗人类消化系统相关慢性炎性疾病的机制探讨
IF 9.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.envint.2026.110063
Jiahao Liu , Xin Shen , Yinqiang Fan , Haibing Yu , Ning Wei , Yinlian Yao , Yue Zhao , Jichang Han , Hua Jin
Pharmaceutical and personal care products (PPCPs), emerging pollutants, may cause chronic inflammatory and metabolic diseases by inducing metabolic disorders. To explore the underlying mechanisms, this study used network toxicology and molecular docking, focusing on four representative diseases: digestive system diseases, rheumatoid arthritis (RA), non-alcoholic fatty liver disease (NAFLD), and Parkinson’s disease. By integrating data from GeneCards, OMIM, and STRING databases, we found 255, 132, 128, and 117 intersection targets between PPCPs and these diseases respectively. Protein-protein interaction (PPI) networks highlighted core hubs like BCL2, IL1B, and PTGS2. Molecular docking showed strong binding affinities (e.g., IL1ß: –22.18 kcal/mol; CASP3: –23.23 kcal/mol). GO/KEGG analyses revealed PPCPs disrupt shared pathways, such as the AGE − RAGE signaling in digestive diseases and RA, PI3K-Akt-mediated insulin resistance in NAFLD, and neuroinflammation via PTGS2 inhibition in Parkinson’s. Notably, 90 % of top hub genes (e.g., STAT3, AKT1) overlapped across diseases, forming an “inflammation-apoptosis” axis. Our findings suggest PPCPs may exert toxicity through cross-organ interactions via conserved molecular networks, offering insights for environmental risk assessment and cross-disease therapeutic strategy development.
医药和个人护理产品(PPCPs)是新兴的污染物,可能通过诱导代谢紊乱而引起慢性炎症和代谢疾病。为探索其潜在机制,本研究采用网络毒理学和分子对接的方法,重点研究消化系统疾病、类风湿关节炎(RA)、非酒精性脂肪性肝病(NAFLD)和帕金森病4种具有代表性的疾病。通过整合来自GeneCards、OMIM和STRING数据库的数据,我们分别发现了255、132、128和117个PPCPs与这些疾病之间的交叉靶点。蛋白质-蛋白质相互作用(PPI)网络突出了核心枢纽,如BCL2、IL1B和PTGS2。分子对接显示出较强的结合亲和力(例如,IL1ß: -22.18 kcal/mol; CASP3: -23.23 kcal/mol)。GO/KEGG分析显示PPCPs破坏共享通路,如消化系统疾病和RA中的AGE - RAGE信号,NAFLD中pi3k - akt介导的胰岛素抵抗,以及帕金森病中通过PTGS2抑制的神经炎症。值得注意的是,90%的顶端枢纽基因(如STAT3、AKT1)在疾病中重叠,形成“炎症-凋亡”轴。我们的研究结果表明PPCPs可能通过保守的分子网络跨器官相互作用发挥毒性,为环境风险评估和跨疾病治疗策略的制定提供了见解。
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引用次数: 0
Pesticide residues in rice across regions and nations: Contamination profiles, dietary health risks, and mechanism-informed prioritization 各地区和国家水稻中的农药残留:污染概况、饮食健康风险和机制信息优先排序
IF 9.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-21 DOI: 10.1016/j.envint.2026.110098
Ren Kong , Meng Li , Zihan Zhang , Qian Sun , Chunsheng Liu
Rice consumption constitutes a primary pathway for non-occupational pesticide exposure globally. However, systematic characterizations linking multi-regional residue profiles with mechanism-informed toxicity prioritization remain insufficient. Here, we applied an integrated “residue–exposure–mechanism” framework to analyze 98 pesticides across 306 rice samples, comprising 234 from China and 72 from major international producers. Forty-four pesticides were detected across rice samples, including 32 insecticides, 9 fungicides, and 3 herbicides. All samples contained detectable residues, with total concentrations ranging from 0.01 to 242.28 μg/kg dry weight. Insecticides dominated pesticide profiles, while the fungicide carbendazim was nearly ubiquitous. Pronounced spatial heterogeneity in pesticide contamination was observed across surveyed countries, as Pakistan exhibited the highest overall pesticide burden while Russia displayed the lowest. The residues within China followed a “east/south higher, west/north lower” gradient. The maximum total hazard quotient occurred in sample from Myanmar, followed by Pakistan and India, and the dietary risks were primarily driven by lambda-cyhalothrin, profenofos and chlorpyrifos. By integrating exposure metrics with ToxCast in vitro bioactivity and ADME evidence, we identified 20 priority pesticides exhibiting multi-organ bioactivity signatures. Overall, this study provides a comprehensive multi-region examination of pesticide residues in rice and offers a mechanism-informed screening strategy to guide pollutant prioritization and risk management.
大米消费是全球非职业农药接触的主要途径。然而,将多区域残留特征与机制知情的毒性优先级联系起来的系统表征仍然不足。在这里,我们应用了一个综合的“残留暴露机制”框架,分析了306份大米样本中的98种农药,其中234份来自中国,72份来自主要国际生产商。共检出44种农药,其中杀虫剂32种,杀菌剂9种,除草剂3种。所有样品均含有可检测到的残留,总浓度范围为0.01 ~ 242.28 μg/kg干重。杀虫剂在农药档案中占主导地位,而杀菌剂多菌灵几乎无处不在。在被调查的国家中,农药污染的空间异质性明显,巴基斯坦的总体农药负担最高,而俄罗斯的最低。中国境内的剩余物呈“东/南高,西/北低”的梯度。缅甸样本的总危害商最大,其次是巴基斯坦和印度,饮食风险主要由高效氯氟氰菊酯、异丙磷和毒死蜱驱动。通过将暴露指标与ToxCast的体外生物活性和ADME证据相结合,我们确定了20种具有多器官生物活性特征的优先农药。总体而言,本研究提供了水稻中农药残留的综合多区域检测,并提供了一种基于机制的筛选策略,以指导污染物的优先级和风险管理。
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引用次数: 0
Identification of pesticides associated with an increased risk of Parkinson’s disease using a multi-screen approach 使用多筛选方法鉴定与帕金森病风险增加相关的农药
IF 9.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-20 DOI: 10.1016/j.envint.2026.110087
Marisol Arellano , Lisa M. Barnhill , Aaron M. Kim , Kazi Md Mahmudul Hasan , Sharon Li , Kimberly C. Paul , Chao Peng , Beate Ritz , Jeff M. Bronstein
Parkinson’s disease (PD) is a progressive neurodegenerative disease characterized by aggregation and transmission of alpha-synuclein (α-syn) protein and loss of dopaminergic neurons. The etiology of PD is multifactorial, involving both genetic and environmental factors. Pesticide exposure has been associated with PD, and with thousands of registered pesticides in the United States, it is still unclear which of these chemically and structurally diverse pesticides confer this association. The population-based case-control Parkinson’s, Environment, and Gene (PEG) study based in the California Central Valley, an agricultural hub servicing much of the nation, offers a promising opportunity to investigate this relationship and identify likely environmental risk factors contributing to PD risk.
In this study, 62 pesticides with reported agricultural use in the Central Valley were independently evaluated in 2 cell-based assays testing for pesticides that promote α-syn transmission and alter autophagy. To further stratify and prioritize pesticide candidates, pesticides that were positive in the 2 cell-based screens (double hits) were filtered through a newly described pesticide-wide association analysis to agnostically identify relevant real-world exposures. Using these selection criteria, 6 pesticides were identified as triple hits and were tested for dopaminergic neurotoxicity in an in vivo zebrafish (ZF) model. Of these 6 pesticides, 4 pesticides contributed to aminergic neuron loss in ZF larvae. The majority of the pesticides identified in our screens have not previously been implicated as risk factors for PD but should be considered in future studies.
帕金森病(PD)是一种以α-突触核蛋白(α-syn)蛋白聚集传递和多巴胺能神经元丧失为特征的进行性神经退行性疾病。帕金森病的病因是多因素的,包括遗传因素和环境因素。农药暴露与PD有关,在美国有数千种已登记的农药,目前尚不清楚这些化学和结构不同的农药中哪些与PD有关。这项以人群为基础的病例对照帕金森病、环境和基因(PEG)研究基于加州中央山谷,这是一个为全国大部分地区提供服务的农业中心,为研究这种关系和确定可能导致帕金森病风险的环境风险因素提供了一个有希望的机会。在这项研究中,研究人员通过两种基于细胞的方法,对62种在美国中部山谷有报道的农业使用的农药进行了独立评估,以检测促进α-syn传递和改变自噬的农药。为了进一步对候选农药进行分层和优先排序,在2个基于细胞的筛选中呈阳性的农药(双重命中)通过一种新描述的全农药关联分析进行过滤,以未知地确定相关的实际暴露。根据这些选择标准,确定6种农药为三效农药,并在斑马鱼体内模型中进行多巴胺能神经毒性试验。6种农药中有4种农药对采虫幼虫胺能神经元丧失有一定的影响。在我们的筛选中发现的大多数农药以前并没有被认为是帕金森病的危险因素,但应该在未来的研究中加以考虑。
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Environment International
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