1
|
Ortega-Romero M, Rojas-Lima E, Rubio-Gutiérrez JC, Aztatzi-Aguilar OG, Narváez-Morales J, Esparza-García M, Barrera-Hernández Á, Mejia MÁ, Mendez-Hernández P, Medeiros M, Barbier OC. Associations among environmental exposure to trace elements and biomarkers of early kidney damage in the pediatric population. Biometals 2024:10.1007/s10534-024-00603-3. [PMID: 38642266 DOI: 10.1007/s10534-024-00603-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 04/08/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND In kidney damage, molecular changes can be used as early damage kidney biomarkers, such as Kidney Injury Molecule-1 and Neutrophil gelatinase-associated lipocalin. These biomarkers are associated with toxic metal exposure or disturbed homeostasis of trace elements, which might lead to serious health hazards. This study aimed to evaluate the relationship between exposure to trace elements and early damage kidney biomarkers in a pediatric population. METHODS In Tlaxcala, a cross-sectional study was conducted on 914 healthy individuals. The participants underwent a medical review and a socio-environmental questionnaire. Five early damage kidney biomarkers were determined in the urine with Luminex, and molybdenum, copper, selenium, nickel, and iodine were measured with ICP-Mass. RESULTS The eGFR showed a median of 103.75 mL/min/1.73 m2. The median levels for molybdenum, copper, selenium, nickel, and iodine were 24.73 ng/mL, 73.35 ng/mL, 4.78 ng/mL, 83.68 ng/mL, and 361.83 ng/mL, respectively. Except for molybdenum and nickel, the other trace elements had significant associations with the eGFR and the early kidney damage biomarkers. Additionally, we report the association of different exposure scenarios with renal parameters. DISCUSSION and Conclusions. Among the explored metals, exposure to Cu and iodine impairs renal function. In contrast, Se may manifest as a beneficial metal. Interactions of Mo-Se and Mo-Iodine seem to alter the expression of NGAL; Mo-Cu for CLU; Mo-Cu, Mo-Se, and Mo-iodine for Cys-C and a-1MG; and Mo-Cu and Mo-iodine for KIM-1; were noticed. Our study could suggest that trace element interactions were associated with early kidney damage biomarkers.
Collapse
Affiliation(s)
- Manolo Ortega-Romero
- Unidad de Investigación en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez, Ciudad de México, Mexico
| | - Elodia Rojas-Lima
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Juan Carlos Rubio-Gutiérrez
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Octavio Gamaliel Aztatzi-Aguilar
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Juana Narváez-Morales
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Mariela Esparza-García
- Unidad de Investigación en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez, Ciudad de México, Mexico
| | - Ángel Barrera-Hernández
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Miguel Ángel Mejia
- Fundación Franco-Mexicana Para La Medicina, I.A.P, Ciudad de México, Mexico
| | - Pablo Mendez-Hernández
- Departamento de Calidad y Educación en Salud, Secretaría de Salud de Tlaxcala, Tlaxcala, Mexico
- Facultad de Ciencias de La Salud, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico
| | - Mara Medeiros
- Unidad de Investigación en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez, Ciudad de México, Mexico
- Departamento de Farmacología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Olivier Christophe Barbier
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, Mexico.
| |
Collapse
|
2
|
An Q, Wang Q, Liu R, Zhang J, Li S, Shen W, Zhou H, Liang Y, Li Y, Mu L, Lei L. Analysis of relationship between mixed heavy metal exposure and early renal damage based on a weighted quantile sum regression and Bayesian kernel machine regression model. J Trace Elem Med Biol 2024; 84:127438. [PMID: 38520795 DOI: 10.1016/j.jtemb.2024.127438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/18/2024] [Accepted: 03/18/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Occupation, environmental heavy metal exposure, and renal function impairment are closely related. The relationship between mixed metal exposure and chronic renal injury is inadequately described, and the interaction between each metal is poorly explored. OBJECTIVE This cross-sectional study assessed mixed heavy metal exposure in the general population and their relationship with early renal impairment, as well as possible interactions between metals. METHODS The study was conducted in two communities in Taiyuan City in northern China. Multiple linear regression, weighted quantile sum (WQS) and bayesian kernel machine regression (BKMR) regression were used to explore the relationship of mixed heavy metal exposure with indicators of early kidney injury (N-acetyl-β-D- glucosidase (UNAG), urinary albumin (UALB)). Meanwhile, BKMR was used to explore the possible interactions between mixed heavy metal and indicators of early kidney injury. RESULTS Based on the WQS regression results, we observed adjusted WQS coefficient β (β-WQS) of 0.711 (95% CI: 0.543, 0.879). Notably, this change was primarily driven by As (35.6%) and Cd (22.5%). In the UALB model, the adjusted β-WQS was 0.657 (95% CI: 0.567, 0.747), with Ni (30.5%), Mn (22.1%), Cd (21.2%), and As (18.6%) exhibiting higher weights in the overall effect. The BKMR results showed a negative interaction between As and other metals in the UNAG and UALB models, a positive interaction between Mn and Ni and other metals. No significant pairwise interaction was observed in the association of metals with indicators of early kidney injury. CONCLUSION Through multiple linear regression, WQS regression, and BKMR analyses, we found that exposure to mixed heavy metals such as Cd, Cr, Pb, Mn, As, Co and Ni was positively correlated with UNAG and UALB. Moreover, there are complex interactions between two or more heavy metals in more than one direction.
Collapse
Affiliation(s)
- Qi An
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan 030001, China
| | - Qingyao Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan 030001, China
| | - Rujie Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Jiachen Zhang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Shuangjing Li
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Weitong Shen
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Han Zhou
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Yufen Liang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Yang Li
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan 030001, China
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY 14214, USA
| | - Lijian Lei
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan 030001, China.
| |
Collapse
|
3
|
Li W, Li Z, Yan Y, Zhang J, Zhou Q, Wang R, He M. Association of urinary arsenic metabolism with type 2 diabetes and glucose homeostasis: Cross-sectional and longitudinal associations. Environ Res 2023; 239:117410. [PMID: 37858693 DOI: 10.1016/j.envres.2023.117410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/20/2023] [Accepted: 10/11/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Previous researches have assessed the relationships of urinary arsenic metabolism with type 2 diabetes (T2D) and glucose-insulin homeostasis, but the results were controversial, and potential mechanisms remain largely unclear. OBJECTIVES This study aimed to investigate the cross-sectional and longitudinal associations of urinary arsenic metabolism with T2D prevalence and glucose changes in relatively higher arsenic exposure, and further to evaluate the underlying roles of oxidative damage in these relationships. METHODS We included 796 participants at baseline, among them 509 participants were followed up after 2 years. Logistic regression model and leave-one-out approach were applied to evaluate the associations of arsenic metabolism with T2D prevalence. Linear mixed model was conducted to estimate the relationship of arsenic metabolism with glycemic changes over two years. The associations between arsenic metabolism and indicators of oxidative stress were assessed with a linear regression model. We further performed mediation analysis to investigate the role of oxidative stress in the associations of arsenic metabolism with 2-year change of glucose levels. RESULTS Higher urinary MMA% increased T2D prevalence and baseline glucose levels. MMA% was positively associated with 2-year change of glucose levels. Moreover, we observed significant dose-response relationship between MMA% and 8-hydroxy-2-deoxyguanosine (8-OHdG). However, the mediating role of 8-OHdG in the association of MMA% and 2-year change of glucose levels was not observed in this population. CONCLUSIONS In this population exposure to relatively higher arsenic levels, higher MMA% contributed to increased T2D prevalence and glucose homeostasis disorder. Arsenic metabolism also affected oxidative stress levels, especially 8-OHdG. Further studies are required to investigate the potential mechanisms.
Collapse
Affiliation(s)
- Weiya Li
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhaoyang Li
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Yan
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiazhen Zhang
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qihang Zhou
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruixin Wang
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| |
Collapse
|
4
|
Zhao H, Fang L, Chen Y, Ma Y, Xu S, Ni J, Chen X, Wang G, Pan F. Associations of exposure to heavy metal mixtures with kidney stone among U.S. adults: A cross-sectional study. Environ Sci Pollut Res Int 2023; 30:96591-96603. [PMID: 37580472 DOI: 10.1007/s11356-023-29318-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 08/09/2023] [Indexed: 08/16/2023]
Abstract
Assessing the effects of heavy metals (HMs) on kidney stone is often limited to analyzing individual metal exposures, with studies on the effects of exposure to mixtures of HMs being scarce. To comprehensively evaluate the relationship between exposure to mixed HMs and kidney stones, we analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2007-2016, which included 7809 adults. We used multiple statistical methods, including multiple logistic regression models, weighted quantile sum (WQS) regression, quantile g-computation (qgcomp) and bayesian kernel machine regression (BKMR), to assess the association between single HM and mixed exposure to HMs and kidney stones. Firstly, in single exposure analysis, urinary cadmium (Cd) and cobalt (Co) demonstrated a positive association with the risk of kidney stones. Secondly, various other approaches consistently revealed that mixed exposure to HMs exhibited a positive association with kidney stone risk, primarily driven by Cd, Co, and barium (Ba) in urine, with these associations being particularly notable among the elderly population. Finally, both BKMR and survey-weighted generalized linear models consistently demonstrated a significant synergistic effect between urinary Co and urinary uranium (Ur) in elevating the risk of kidney stones. Overall, this study provides new epidemiological evidence that mixed exposure to HMs is associated with an increased risk of kidney stones. Further prospectively designed studies are needed to confirm these findings.
Collapse
Affiliation(s)
- Hui Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lanlan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Shanshan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jianping Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xuyang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Guosheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Rd, Hefei, 230032, Anhui, China.
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
| |
Collapse
|
5
|
Du G, Song X, Zhou F, Ouyang L, Li Q, Ruan S, Yang S, Rao S, Wan X, Xie J, Feng C, Fan G. Association between multiple metal(loid)s exposure and renal function: a cross-sectional study from southeastern China. Environ Sci Pollut Res Int 2023; 30:94552-94564. [PMID: 37532974 DOI: 10.1007/s11356-023-29001-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 07/22/2023] [Indexed: 08/04/2023]
Abstract
In the real world, humans are exposed to multiple metal(loid)s (designated hereafter metals) that contain essential metals as well as toxic metals. Exposure to the metal mixture was assumed to be associated with renal function impairment; however, there is no consensus on available studies. Therefore, we here explored the association between multiple metals exposure and indicators of renal function in the general population from southeastern China. A total of 11 metals with 6 human essential metals and 5 toxic metals were determined in the selected 720 subjects. In addition, serum uric acid (SUA), serum creatinine (SCR), and the estimated glomerular filtration rate (eGFR) were measured or calculated as indicators of renal function. Using multiple flexible statistical models of generalized linear model, elastic net regression, and Bayesian kernel machine regression, the joint as well as the individual effect of metals within the mixture, and the interactions between metals were explored. When exposed to the metal mixture, the statistically non-significantly increased SUA, the significantly increased SCR, and the significantly declined eGFR were observed. In addition, the declined renal function may be primarily attributed to lead (Pb), arsenic (As), and nickel (Ni) exposure. Finally, interactions, such as the synergistic effect between Pb and Mo on SUA, whereas the antagonistic effect between Ni and Cd on SCR and eGFR were identified. Our finding suggests that combined exposure to multiple metals would impair renal function. Therefore, reducing exposure to toxic heavy metals of Pb, As, and Cd and limiting exposure to the human essential metal of Ni would protect renal function.
Collapse
Affiliation(s)
- Guihua Du
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Xiaoguang Song
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Province Center for Disease Control and Prevention, Institute of Environmental Health, 555 Beijingdong Road, Qingshanhu District, Nanchang, Jiangxi, 330046, People's Republic of China
| | - Fankun Zhou
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Lu Ouyang
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Qi Li
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Shiying Ruan
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Stress, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Shuo Yang
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Shaoqi Rao
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Xin Wan
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Jie Xie
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Chang Feng
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Guangqin Fan
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China.
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, 461 Bayi Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China.
| |
Collapse
|
6
|
Wang T, Zhang L, Liu Y, Li J, Chen G, Zhou H, Yu L, Wan Z, Dong C, Qin L, Chen J. Combined Exposure to Multiple Metals and Kidney Function in a Midlife and Elderly Population in China: A Prospective Cohort Study. Toxics 2023; 11:toxics11030274. [PMID: 36977039 PMCID: PMC10051264 DOI: 10.3390/toxics11030274] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/01/2023] [Accepted: 03/15/2023] [Indexed: 06/10/2023]
Abstract
[Background] Metal exposure is suspected to be correlated to kidney function. However, the combined effects of co-exposing to multiple metals, especially both toxic and protective metals, have not been completely evaluated. [Method] A prospective cohort study was conducted with the "135" cohort for the evaluation of how plasma metal levels are correlated to kidney function in a midlife and elderly community in southern China. An amount of 1368 subjects without kidney disease at baseline were enrolled in the final analysis. By using linear regression and logistic regression models, the correlation of individual metal values with renal function parameters was assessed. Measuring of the multiple metal exposure level was performed by principal component analysis (PCA). [Results] Diminished renal function, as evaluated based on fast kidney function decline, or estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2, was positively associated with the plasma concentrations of chromium and potassium, but it was negatively associated with selenium and iron (p < 0.05). In multiple-metal analyses, linear and logistic regression models showed that the iron and chromium exposure pattern had a protective effect on renal function, whereas the sodium and potassium exposure pattern and the cadmium and lead exposure pattern increased the risk for fast kidney function decline, and eGFR < 60 mL/min/1.73 m2. [Conclusions] Certain metals, including chromium, potassium, selenium, and iron, were correlated with kidney function in a midlife and elderly community in China. In addition, the potential combined influences of co-exposing to multiple metals were observed.
Collapse
Affiliation(s)
- Tianci Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Liming Zhang
- Suzhou Municipal Center for Disease Control and Prevention, Suzhou 215007, China
| | - Yujie Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Jian Li
- Suzhou Municipal Center for Disease Control and Prevention, Suzhou 215007, China
| | - Guochong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Hui Zhou
- Suzhou Industrial Park Centers for Disease Control and Prevention, Suzhou 215021, China
| | - Lugang Yu
- Suzhou Industrial Park Centers for Disease Control and Prevention, Suzhou 215021, China
| | - Zhongxiao Wan
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Chen Dong
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Liqiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Jingsi Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| |
Collapse
|