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Empirical analysis of lead neurotoxicity mode of action and its application in health risk assessment.
Huang, Hehai; Lv, Yanrong; Chen, Qingfei; Huang, Xiaowei; Qin, Jingyao; Liu, Yan; Liao, Qilong; Xing, Xiumei; Chen, Liping; Liu, Qing; Li, Shuangqi; Long, Zihao; Wang, Qing; Chen, Wen; Wei, Qing; Hou, Mengjun; Hu, Qiansheng; Xiao, Yongmei.
Affiliation
  • Huang H; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Department of Occupational Health, Public Health Service Center, Bao'an District, Shenzhen, 518126, China.
  • Lv Y; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Chen Q; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Huang X; Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
  • Qin J; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Liu Y; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Liao Q; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Xing X; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Chen L; Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Liu Q; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Li S; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Long Z; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Wang Q; Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Chen W; Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Wei Q; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Hou M; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Hu Q; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Xiao Y; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: xiaoym@ma
Environ Res ; 251(Pt 2): 118708, 2024 Jun 15.
Article in En | MEDLINE | ID: mdl-38493858
ABSTRACT
The mode of action (MOA) framework is proposed to inform a biological link between chemical exposures and adverse health effects. Despite a significant increase in knowledge and awareness, the application of MOA in human health risk assessment (RA) remains limited. This study aims to discuss the adoption of MOA for health RA within a regulatory context, taking our previously proposed but not yet validated MOA for lead neurotoxicity as an example. We first conducted a quantitative weight of evidence (qWOE) assessment, which revealed that the MOA has a moderate confidence. Then, targeted bioassays were performed within an in vitro blood-brain barrier (BBB) model to quantitatively validate the scientific validity of key events (KEs) in terms of essentiality and concordance of empirical support (dose/temporal concordance), which increases confidence in utilizing the MOA for RA. Building upon the quantitative validation data, we further conducted benchmark dose (BMD) analysis to map dose-response relationships for the critical toxicity pathways, and the lower limit of BMD at a 5% response (BMDL5) was identified as the point of departure (POD) value for adverse health effects. Notably, perturbation of the Aryl Hydrocarbon Receptor (AHR) signaling pathway exhibited the lowest POD value, measured at 0.0062 µM. Considering bioavailability, we further calculated a provisional health-based guidance value (HBGV) for children's lead intake, determining it to be 2.56 µg/day. Finally, the health risk associated with the HBGV was assessed using the hazard quotient (HQ) approach, which indicated that the HBGV established in this study is a relative safe reference value for lead intake. In summary, our study described the procedure for utilizing MOA in health RA and set an example for MOA-based human health risk regulation.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lead Limits: Humans Language: En Journal: Environ Res Year: 2024 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lead Limits: Humans Language: En Journal: Environ Res Year: 2024 Type: Article Affiliation country: China