Ying Qing , Jianheng Zheng , TianRan Tang , Yingyi Luo , Dan Han , Liqiang Wang , Yaxin Dong , Shuyu Yang , Jun Du , Yanfei Li
{"title":"金属元素暴露和氧化应激在轻度认知障碍中的作用:来自上海老年队列的证据","authors":"Ying Qing , Jianheng Zheng , TianRan Tang , Yingyi Luo , Dan Han , Liqiang Wang , Yaxin Dong , Shuyu Yang , Jun Du , Yanfei Li","doi":"10.1016/j.ecoenv.2025.118617","DOIUrl":null,"url":null,"abstract":"<div><div>This study, based on a cross-sectional study of elderly individuals in Shanghai, explored the associations between mixed metal element exposure and mild cognitive impairment (MCI), as well as the mediating role of oxidative stress. We assessed MCI using the Montreal Cognitive Assessment (MoCA) scale and measured plasma levels of amyloid β<sub>40</sub> (Aβ<sub>40</sub>), Aβ<sub>42</sub>, Aβ<sub>42/40</sub>, total tau (T-tau) and phosphorylated tau (P-tau) proteins. Spearman’s correlation analysis, linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp) modeling were used to assess the associations between metal elements and MCI, and to analyze the mediating role of oxidative stress using mediation models. The results showed significant differences in blood cadmium (Cd), lead (Pb), copper (Cu), zinc (Zn), and selenium (Se) levels between the MCI group and the normal cognition group. MoCA scores were negatively correlated with Cd, Pb, and Cu levels, and positively correlated with Zn and Se levels. Aβ<sub>42</sub> and Aβ<sub>42/40</sub> were negatively correlated with Cu and positively correlated with Zn and Se. P-tau was positively correlated with mercury (Hg). The WQS index was significantly negatively correlated with the MoCA score, with Cu contributing the most (84.0 %). Meanwhile, Aβ<sub>42</sub> and Aβ<sub>42/40</sub> were significantly positively correlated with the WQS index, with Se (34.0 %) and Zn (58.3 %) being the main contributors. Qgcomp modeling also found that mixed exposure to metal elements was significantly negatively correlated with the MoCA score, with Cu given the highest negative weight (-0.601). SOD partially mediated the correlation of Cu, Zn, Se, and WQS index with Aβ<sub>42</sub> (mediation ratio of 14.3–27.8 %). This study provides population-based evidence for identifying factors and potential mechanisms affecting MCI.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"Article 118617"},"PeriodicalIF":6.1000,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The role of metal element exposure and oxidative stress in mild cognitive impairment: Evidence from a Shanghai elderly cohort\",\"authors\":\"Ying Qing , Jianheng Zheng , TianRan Tang , Yingyi Luo , Dan Han , Liqiang Wang , Yaxin Dong , Shuyu Yang , Jun Du , Yanfei Li\",\"doi\":\"10.1016/j.ecoenv.2025.118617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study, based on a cross-sectional study of elderly individuals in Shanghai, explored the associations between mixed metal element exposure and mild cognitive impairment (MCI), as well as the mediating role of oxidative stress. We assessed MCI using the Montreal Cognitive Assessment (MoCA) scale and measured plasma levels of amyloid β<sub>40</sub> (Aβ<sub>40</sub>), Aβ<sub>42</sub>, Aβ<sub>42/40</sub>, total tau (T-tau) and phosphorylated tau (P-tau) proteins. Spearman’s correlation analysis, linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp) modeling were used to assess the associations between metal elements and MCI, and to analyze the mediating role of oxidative stress using mediation models. The results showed significant differences in blood cadmium (Cd), lead (Pb), copper (Cu), zinc (Zn), and selenium (Se) levels between the MCI group and the normal cognition group. MoCA scores were negatively correlated with Cd, Pb, and Cu levels, and positively correlated with Zn and Se levels. Aβ<sub>42</sub> and Aβ<sub>42/40</sub> were negatively correlated with Cu and positively correlated with Zn and Se. P-tau was positively correlated with mercury (Hg). The WQS index was significantly negatively correlated with the MoCA score, with Cu contributing the most (84.0 %). Meanwhile, Aβ<sub>42</sub> and Aβ<sub>42/40</sub> were significantly positively correlated with the WQS index, with Se (34.0 %) and Zn (58.3 %) being the main contributors. Qgcomp modeling also found that mixed exposure to metal elements was significantly negatively correlated with the MoCA score, with Cu given the highest negative weight (-0.601). SOD partially mediated the correlation of Cu, Zn, Se, and WQS index with Aβ<sub>42</sub> (mediation ratio of 14.3–27.8 %). This study provides population-based evidence for identifying factors and potential mechanisms affecting MCI.</div></div>\",\"PeriodicalId\":303,\"journal\":{\"name\":\"Ecotoxicology and Environmental Safety\",\"volume\":\"302 \",\"pages\":\"Article 118617\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecotoxicology and Environmental Safety\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0147651325009625\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecotoxicology and Environmental Safety","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0147651325009625","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
The role of metal element exposure and oxidative stress in mild cognitive impairment: Evidence from a Shanghai elderly cohort
This study, based on a cross-sectional study of elderly individuals in Shanghai, explored the associations between mixed metal element exposure and mild cognitive impairment (MCI), as well as the mediating role of oxidative stress. We assessed MCI using the Montreal Cognitive Assessment (MoCA) scale and measured plasma levels of amyloid β40 (Aβ40), Aβ42, Aβ42/40, total tau (T-tau) and phosphorylated tau (P-tau) proteins. Spearman’s correlation analysis, linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp) modeling were used to assess the associations between metal elements and MCI, and to analyze the mediating role of oxidative stress using mediation models. The results showed significant differences in blood cadmium (Cd), lead (Pb), copper (Cu), zinc (Zn), and selenium (Se) levels between the MCI group and the normal cognition group. MoCA scores were negatively correlated with Cd, Pb, and Cu levels, and positively correlated with Zn and Se levels. Aβ42 and Aβ42/40 were negatively correlated with Cu and positively correlated with Zn and Se. P-tau was positively correlated with mercury (Hg). The WQS index was significantly negatively correlated with the MoCA score, with Cu contributing the most (84.0 %). Meanwhile, Aβ42 and Aβ42/40 were significantly positively correlated with the WQS index, with Se (34.0 %) and Zn (58.3 %) being the main contributors. Qgcomp modeling also found that mixed exposure to metal elements was significantly negatively correlated with the MoCA score, with Cu given the highest negative weight (-0.601). SOD partially mediated the correlation of Cu, Zn, Se, and WQS index with Aβ42 (mediation ratio of 14.3–27.8 %). This study provides population-based evidence for identifying factors and potential mechanisms affecting MCI.
期刊介绍:
Ecotoxicology and Environmental Safety is a multi-disciplinary journal that focuses on understanding the exposure and effects of environmental contamination on organisms including human health. The scope of the journal covers three main themes. The topics within these themes, indicated below, include (but are not limited to) the following: Ecotoxicology、Environmental Chemistry、Environmental Safety etc.