Health effects of mixed metal exposure on accelerating aging among the elderly population
Background: Human exposure to heavy metals occurs through multiple pathways in daily life. However, the effects of mixed heavy metal exposure on accelerated aging in the elderly U.S. population remains unclear. This study aims to investigate the association between heavy metal concentrations in bloo...
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| Format: | Article |
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Elsevier
2025-02-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S014765132500096X |
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| author | Chuanli Yang Jijun Zhang Haohan Liu Qin Hong Yunhe Fan Jie An Haijia Zhang Xiaobing Shen Xiushan Dong |
| author_facet | Chuanli Yang Jijun Zhang Haohan Liu Qin Hong Yunhe Fan Jie An Haijia Zhang Xiaobing Shen Xiushan Dong |
| author_sort | Chuanli Yang |
| collection | DOAJ |
| description | Background: Human exposure to heavy metals occurs through multiple pathways in daily life. However, the effects of mixed heavy metal exposure on accelerated aging in the elderly U.S. population remains unclear. This study aims to investigate the association between heavy metal concentrations in blood and urine and the onset of accelerated aging. Methods: A total of 2530 individuals were included in the blood metals analysis and 716 individuals in the urine metals analysis in this study. GrimAge acceleration (AgeAccelGrim) was calculated as the residuals from regressing DNA methylation GrimAge on chronological age. Weighted multivariable logistic regression models were applied to analyze the relationship between metal exposure with AgeAccelGrim. Bayesian kernel machine regression (BKMR) was performed to estimate the effects of individual metals or metals mixtures and AgeAccelGrim. Results: We found that blood cadmium (Cd) concentration was positively associated with an increased risk of AgeAccelGrim in both females and males, with odds ratios (OR) of 5.73 (95 % confidence interval (95 % CI): 1.88–17.41, P trend = 0.008) and 14.25 (95 % CI: 4.88–41.62, P trend < 0.001), respectively. Moreover, these associations were more pronounced for urinary Cd compared to blood Cd. Blood lead (Pb) was also associated with a 3.52-fold (95 % CI: 1.21–10.24, P trend = 0.007) increase in AgeAccelGrim risk among males. BKMR confirmed the aforementioned findings, identifying Cd as the most significant contributor to accelerated aging. Conclusions: Exposure to heavy metals, either individually or in mixture, was positively associated with accelerated biological aging. These associations were more pronounced in males. |
| format | Article |
| id | doaj-art-cf7e05118cf545cf83d90384f1cee392 |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-cf7e05118cf545cf83d90384f1cee3922025-02-05T04:31:01ZengElsevierEcotoxicology and Environmental Safety0147-65132025-02-01291117760Health effects of mixed metal exposure on accelerating aging among the elderly populationChuanli Yang0Jijun Zhang1Haohan Liu2Qin Hong3Yunhe Fan4Jie An5Haijia Zhang6Xiaobing Shen7Xiushan Dong8Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China; Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China; Key Laboratory of Environmental Medical Engineering and Education Ministry, School of Public Health, Southeast University, Nanjing, Jiangsu, China; Department of Preventive Medicine, School of Public Health, Southeast University, Nanjing, ChinaThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, ChinaKey Laboratory of Environmental Medical Engineering and Education Ministry, School of Public Health, Southeast University, Nanjing, Jiangsu, China; Department of Preventive Medicine, School of Public Health, Southeast University, Nanjing, ChinaKey Laboratory of Environmental Medical Engineering and Education Ministry, School of Public Health, Southeast University, Nanjing, Jiangsu, China; Department of Preventive Medicine, School of Public Health, Southeast University, Nanjing, ChinaShanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, ChinaShanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, ChinaShanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, ChinaKey Laboratory of Environmental Medical Engineering and Education Ministry, School of Public Health, Southeast University, Nanjing, Jiangsu, China; Department of Preventive Medicine, School of Public Health, Southeast University, Nanjing, China; Corresponding author at: Key Laboratory of Environmental Medical Engineering and Education Ministry, School of Public Health, Southeast University, Nanjing, Jiangsu, China.Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China; Corresponding author.Background: Human exposure to heavy metals occurs through multiple pathways in daily life. However, the effects of mixed heavy metal exposure on accelerated aging in the elderly U.S. population remains unclear. This study aims to investigate the association between heavy metal concentrations in blood and urine and the onset of accelerated aging. Methods: A total of 2530 individuals were included in the blood metals analysis and 716 individuals in the urine metals analysis in this study. GrimAge acceleration (AgeAccelGrim) was calculated as the residuals from regressing DNA methylation GrimAge on chronological age. Weighted multivariable logistic regression models were applied to analyze the relationship between metal exposure with AgeAccelGrim. Bayesian kernel machine regression (BKMR) was performed to estimate the effects of individual metals or metals mixtures and AgeAccelGrim. Results: We found that blood cadmium (Cd) concentration was positively associated with an increased risk of AgeAccelGrim in both females and males, with odds ratios (OR) of 5.73 (95 % confidence interval (95 % CI): 1.88–17.41, P trend = 0.008) and 14.25 (95 % CI: 4.88–41.62, P trend < 0.001), respectively. Moreover, these associations were more pronounced for urinary Cd compared to blood Cd. Blood lead (Pb) was also associated with a 3.52-fold (95 % CI: 1.21–10.24, P trend = 0.007) increase in AgeAccelGrim risk among males. BKMR confirmed the aforementioned findings, identifying Cd as the most significant contributor to accelerated aging. Conclusions: Exposure to heavy metals, either individually or in mixture, was positively associated with accelerated biological aging. These associations were more pronounced in males.http://www.sciencedirect.com/science/article/pii/S014765132500096XHeavy metalsAging accelerationGrimAgeBayesian kernel machine regressionCombined exposure |
| spellingShingle | Chuanli Yang Jijun Zhang Haohan Liu Qin Hong Yunhe Fan Jie An Haijia Zhang Xiaobing Shen Xiushan Dong Health effects of mixed metal exposure on accelerating aging among the elderly population Ecotoxicology and Environmental Safety Heavy metals Aging acceleration GrimAge Bayesian kernel machine regression Combined exposure |
| title | Health effects of mixed metal exposure on accelerating aging among the elderly population |
| title_full | Health effects of mixed metal exposure on accelerating aging among the elderly population |
| title_fullStr | Health effects of mixed metal exposure on accelerating aging among the elderly population |
| title_full_unstemmed | Health effects of mixed metal exposure on accelerating aging among the elderly population |
| title_short | Health effects of mixed metal exposure on accelerating aging among the elderly population |
| title_sort | health effects of mixed metal exposure on accelerating aging among the elderly population |
| topic | Heavy metals Aging acceleration GrimAge Bayesian kernel machine regression Combined exposure |
| url | http://www.sciencedirect.com/science/article/pii/S014765132500096X |
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