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Lin S, He J, Zhou Y, Bao Y, Feng X, Cheng H, Cai H, Hu S, Wang L, Zheng Y, Zhang M, Fan Q, Wen S, Lin Y, Liu C, Chen X, Wang F, Ge X, Yang X. Cross-sectional and Longitudinal Associations Between Metal Mixtures and Serum C3, C4: Result from the Manganese‑exposed Workers Healthy Cohort. Biol Trace Elem Res 2024:10.1007/s12011-024-04143-2. [PMID: 38492120 DOI: 10.1007/s12011-024-04143-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024]
Abstract
Exposure to metal mixtures compromises the immune system, with the complement system connecting innate and adaptive immunity. Herein, we sought to explore the relationships between blood cell metal mixtures and the third and fourth components of serum complement (C3, C4). A total of 538 participants were recruited in November 2017, and 289 participants were followed up in November 2021. We conducted a cross-sectional analysis at baseline and a longitudinal analysis over 4 years. Least Absolute Shrinkage and Selection Operator (LASSO) was employed to identify the primary metals related to serum C3, C4; generalized linear model (GLM) was further used to evaluate the cross-sectional associations of the selected metals and serum C3, C4. Furthermore, participants were categorized into three groups according to the percentage change in metal concentrations over 4 years. GLM was performed to assess the associations between changes in metal concentrations and changes in serum C3, C4 levels. At baseline, each 1-unit increase in log10-transformed in magnesium, manganese, copper, rubidium, and lead was significantly associated with a change in serum C3 of 0.226 (95% CI: 0.146, 0.307), 0.055 (95% CI: 0.022, 0.088), 0.113 (95% CI: 0.019, 0.206), - 0.173 (95% CI: - 0.262, - 0.083), and - 0.020 (95% CI: - 0.039, - 0.001), respectively. Longitudinally, decreased copper concentrations were negatively associated with an increment in serum C3 levels, while decreased lead concentrations were positively associated with an increment in serum C3 levels. However, no metal was found to be primarily associated with serum C4 in LASSO, so we did not further explore the relationship between them. Our research indicates that copper and lead may affect complement system homeostasis by influencing serum C3 levels. Further investigation is necessary to elucidate the underlying mechanisms.
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Affiliation(s)
- Sencai Lin
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Junxiu He
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yinghua Zhou
- School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China
| | - Yu Bao
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Xiuming Feng
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Hong Cheng
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Haiqing Cai
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Sihan Hu
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Lin Wang
- School of Science, Guangxi University of Science and Technology, Liuzhou, 545006, Guangxi, China
| | - Yuan Zheng
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Mengdi Zhang
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Qinghua Fan
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Shifeng Wen
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yuanxin Lin
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Chaoqun Liu
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Xing Chen
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Fei Wang
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Xiaoting Ge
- School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China.
| | - Xiaobo Yang
- School of Public Health, Guangxi Medical University, Nanning, 530021, China.
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Yuan L, Wang X, Liu X, Chen S, Kong W, He M, Sun Y. Genotypic and Allelic Frequencies of GJB2 Variants and Features of Hearing Phenotypes in the Chinese Population of the Dongfeng-Tongji Cohort. Genes (Basel) 2023; 14:2007. [PMID: 38002950 PMCID: PMC10670965 DOI: 10.3390/genes14112007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/22/2023] [Accepted: 10/24/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND This study aimed to describe the distribution of the genotype and allele frequencies of GJB2 variants in the Chinese population of the Dongfeng Tongji cohort and to analyze the features of the hearing phenotype. METHODS We used data from 9910 participants in the Dongfeng Tongji cohort in 2013 and selected nine GJB2 variants. Pure tone audiometry was employed to measure hearing. Differences in genotype and allele frequencies were analyzed via chi-squared test or Fisher's exact test. RESULTS Of the 9910 participants, 5742 had hearing loss. The genotype frequency of the GJB2 variant c.109G>A was statistically significantly distributed between the normal and impaired hearing groups, but not for the variant c.235delC. A higher frequency of the c.109G>A homozygous genotype was found in the hearing loss group (0.5%) than in the normal hearing group (0.1%). Patients with c.109G>A and c.235delC homozygous mutations exhibited varying degrees of hearing loss, mainly presenting sloping and flat audiogram shapes. CONCLUSIONS A significant difference was found in the genotype frequency of the GJB2 variant c.109G>A between the case and control groups, but not in that of the variant c.235delC. Different degrees of hearing loss and various audiogram shapes were observed in patients with c.109G>A and c.235delC homozygous mutations.
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Affiliation(s)
- Lanlai Yuan
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Y.); (X.W.); (X.L.); (S.C.); (W.K.)
| | - Xiaohui Wang
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Y.); (X.W.); (X.L.); (S.C.); (W.K.)
| | - Xiaozhou Liu
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Y.); (X.W.); (X.L.); (S.C.); (W.K.)
| | - Sen Chen
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Y.); (X.W.); (X.L.); (S.C.); (W.K.)
| | - Weijia Kong
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Y.); (X.W.); (X.L.); (S.C.); (W.K.)
- Institute of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, 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 430030, China
| | - Yu Sun
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (L.Y.); (X.W.); (X.L.); (S.C.); (W.K.)
- Institute of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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Liu S, Zhang L, Luo N, Wang M, Tang C, Jing J, Chen H, Hu Q, Tan L, Ma X, Zou Y. Metal mixture exposure and the risk for immunoglobulin A nephropathy: Evidence from weighted quantile sum regression. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:87783-87792. [PMID: 37434053 DOI: 10.1007/s11356-023-28706-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 07/05/2023] [Indexed: 07/13/2023]
Abstract
Immunoglobulin A nephropathy (IgAN) is the most common type of glomerulonephritis in adults worldwide. Environmental metal exposure has been reported to be involved in the pathogenic mechanisms of kidney diseases, yet no further epidemiological study has been conducted to assess the effects of metal mixture exposure on IgAN risk. In this study, we conducted a matched case‒control design with three controls for each patient to investigate the association between metal mixture exposure and IgAN risk. A total of 160 IgAN patients and 480 healthy controls were matched for age and sex. Plasma levels of arsenic, lead, chromium, manganese, cobalt, copper, zinc, and vanadium were measured using inductively coupled plasma mass spectrometry. We used a conditional logistic regression model to assess the association between individual metals and IgAN risk, and a weighted quantile sum (WQS) regression model to analyze the effects of metal mixtures on IgAN risk. Restricted cubic splines were used to evaluate overall associations between plasma metal concentrations and estimated glomerular filtration rate (eGFR) levels. We observed that except for Cu, all the metals analyzed were nonlinearly associated with decreased eGFR, and higher concentrations of arsenic and lead were associated with elevated IgAN risk in both single-metal [3.29 (1.94, 5.57), 6.10 (3.39, 11.0), respectively] and multiple-metal [3.04 (1.66, 5.57), 4.70 (2.47, 8.97), respectively] models. Elevated manganese [1.76 (1.09, 2.83)] levels were associated with increased IgAN risk in the single-metal model. Copper was inversely related to IgAN risk in both single-metal [0.392 (0.238, 0.645)] and multiple-metal [0.357 (0.200, 0.638)] models. The WQS indices in both positive [2.04 (1.68, 2.47)] and negative [0.717 (0.603, 0.852)] directions were associated with IgAN risk. Lead, arsenic, and vanadium contributed significant weights (0.594, 0.195, and 0.191, respectively) in the positive direction; copper, cobalt, and chromium carried significant weights (0.538, 0.253, and 0.209, respectively). In conclusion, metal exposure was related to IgAN risk. Lead, arsenic, and copper were all significantly weighted factors of IgAN development, which may require further investigation.
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Affiliation(s)
- Shaohui Liu
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, 530021, China
| | - Li'e Zhang
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, 530021, China
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Na Luo
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, 530021, China
- Department of Clinical Nutriology, The First Affiliated Hospital of Shaoyang University, Shaoyang, 422000, China
| | - Mingjun Wang
- Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Chuanqiao Tang
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, 530021, China
| | - Jiajun Jing
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, 530021, China
| | - Hao Chen
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Qiuhua Hu
- Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Lina Tan
- Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Xiaoli Ma
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, 530021, China
| | - Yunfeng Zou
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, China.
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, 530021, China.
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