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Qin L, Liu Q, Zhang T, Tang X, Mo X, Liang Y, Wang X, Cao J, Huang C, Lu Y, Zhang Z, Qin J, Cai J. Association Between Combined Polymetallic Exposure and Osteoporosis. Biol Trace Elem Res 2024; 202:3945-3958. [PMID: 38109003 DOI: 10.1007/s12011-023-04002-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/05/2023] [Indexed: 12/19/2023]
Abstract
Combined polymetallic exposure may be an influential factor in osteoporosis. This study aimed to explore the association between polymetallic combined exposure and osteoporosis. A total of 2115 participants were included. Plasma concentrations of 22 metals were determined by inductively coupled plasma mass spectrometry. Osteoporosis was defined as a T ≤ - 2.5. The least absolute shrinkage and selection operator (LASSO) regression, binary logistics regression, and Bayesian kernel machine regression (BKMR) model were used to explore the association between plasma metals and osteoporosis. LASSO regression showed that 10 metals were associated with osteoporosis in the total population (magnesium, calcium, manganese, nickel, cobalt, arsenic, selenium, rubidium, cadmium, aluminum) and women (magnesium, calcium, molybdenum, nickel, cobalt, arsenic, selenium, rubidium, cadmium, aluminum), and four metals associated with men (magnesium, cobalt, aluminum, iron). Logistics regression showed that in total population, magnesium (ORQ3 = 0.653, 95% CI = 0.446-0.954) was negatively correlated with osteoporosis, while aluminum (ORQ2 = 1.569, 95% CI = 1.095-2.248, ORQ4 = 1.616, 95% CI = 1.109-2.354) and cadmium (ORQ4 = 1.989, 95% CI = 1.379-2.870) were positively correlated; in women, magnesium (ORQ3 = 0.579, 95% CI = 0.379-0.883) was negatively correlated with osteoporosis, while aluminum (ORQ2 = 1.563, 95% CI = 1.051-2.326, ORQ4 = 1.543, 95% CI = 1.024-2.326) and cadmium (ORQ3 = 1.482, 95% CI = 1.003-2.191, ORQ4 = 1.740, 95% CI = 1.167-2.596) were positively correlated. BKMR model showed that combined polymetallic exposure had an overall positive effect on osteoporosis, magnesium was negatively associated with osteoporosis, and cadmium, selenium, and aluminum were positively associated with osteoporosis. Metal mixtures in plasma were associated with osteoporosis risk. Magnesium may reduce the risk of osteoporosis, while cadmium, selenium, and aluminum may increase the risk of osteoporosis. Future studies needed to explore correlations and mechanisms.
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Affiliation(s)
- Lidong Qin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Qiumei Liu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Tiantian Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Xu Tang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Xiaoting Mo
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Yujian Liang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Xuexiu Wang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Jiejing Cao
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Chuwu Huang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Yufu Lu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
| | - Zhiyong Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, China
- Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, China
| | - Jian Qin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China.
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China.
- Key Laboratory of Longevity and Aging-Related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning, China.
| | - Jiansheng Cai
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Shuangyong Road 22, Nanning, 530021, Guangxi, China.
- Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Huan Cheng North 2Nd Road 109, Guilin, 541004, Guangxi, China.
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Zhao L, Wei Y, Liu Q, Cai J, Mo X, Tang X, Wang X, Qin L, Liang Y, Cao J, Huang C, Lu Y, Zhang T, Luo L, Rong J, Wu S, Jin W, Guan Q, Teng K, Li Y, Qin J, Zhang Z. Association between multiple-heavy-metal exposures and systemic immune inflammation in a middle-aged and elderly Chinese general population. BMC Public Health 2024; 24:1192. [PMID: 38679723 PMCID: PMC11057124 DOI: 10.1186/s12889-024-18638-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/17/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND Exposure to heavy metals alone or in combination can promote systemic inflammation. The aim of this study was to investigate potential associations between multiple plasma heavy metals and markers of systemic immune inflammation. METHODS Using a cross-sectional study, routine blood tests were performed on 3355 participants in Guangxi, China. Eight heavy metal elements in plasma were determined by inductively coupled plasma mass spectrometry. Immunoinflammatory markers were calculated based on peripheral blood WBC and its subtype counts. A generalised linear regression model was used to analyse the association of each metal with the immunoinflammatory markers, and the association of the metal mixtures with the immunoinflammatory markers was further assessed using weighted quantile sum (WQS) regression. RESULTS In the single-metal model, plasma metal Fe (log10) was significantly negatively correlated with the levels of immune-inflammatory markers SII, NLR and PLR, and plasma metal Cu (log10) was significantly positively correlated with the levels of immune-inflammatory markers SII and PLR. In addition, plasma metal Mn (log10 conversion) was positively correlated with the levels of immune inflammatory markers NLR and PLR. The above associations remained after multiple corrections. In the mixed-metal model, after WQS regression analysis, plasma metal Cu was found to have the greatest weight in the positive effects of metal mixtures on SII and PLR, while plasma metals Mn and Fe had the greatest weight in the positive effects of metal mixtures on NLR and LMR, respectively. In addition, blood Fe had the greatest weight in the negative effects of the metal mixtures for SII, PLR and NLR. CONCLUSION Plasma metals Cu and Mn were positively correlated with immunoinflammatory markers SII, NLR and PLR. While plasma metal Fe was negatively correlated with immunoinflammatory markers SII, NLR, and PLR.
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Affiliation(s)
- Linhai Zhao
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Yanfei Wei
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China
| | - Qiumei Liu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiansheng Cai
- School of Public Health, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China
- Guangxi Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China
| | - Xiaoting Mo
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xu Tang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xuexiu Wang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Lidong Qin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Yujian Liang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiejing Cao
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Chuwu Huang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Yufu Lu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Tiantian Zhang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Lei Luo
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiahui Rong
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Songju Wu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Wenjia Jin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Qinyi Guan
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Kaisheng Teng
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - You Li
- School of Public Health, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China
| | - Jian Qin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
| | - Zhiyong Zhang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- School of Public Health, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China.
- Guangxi Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China.
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Cai J, Bidulescu A. E-cigarette use or dual use of E-cigarette and combustible cigarette and mental health and cognitive impairment: Findings from the National Health Interview Survey, 2020-2021. J Affect Disord 2024; 351:878-887. [PMID: 38211743 DOI: 10.1016/j.jad.2024.01.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 12/14/2023] [Accepted: 01/04/2024] [Indexed: 01/13/2024]
Abstract
BACKGROUND Studies on the association between e-cigarette use and mental health are mostly among adolescents and young adults, leaving limited evidence of this association among general US adults. Besides, few studies have examined how e-cigarette use or dual use of e-cigarette and combustible cigarette is related to cognitive function. METHODS Cross-sectional data of 56,734 adults from the 2020-2021 National Health Interview Survey were analyzed. Weighted multivariable logistic regression models were applied to examine the independent association between e-cigarette use or dual use and anxiety symptoms, depression symptoms, serious psychological distress (SPD), and cognitive impairment. RESULTS Compared with never e-cigarette users, current e-cigarette users had 2.10-fold (95 % CI: 1.84, 2.39), 2.53-fold (95 % CI: 2.13, 3.00), 2.02-fold (95 % CI: 1.47, 2.76), and 2.00-fold (95 % CI: 1.47, 2.72) higher odds of reporting anxiety symptoms, depression symptoms, SPD, and cognitive impairment, respectively. Former e-cigarette use was also associated with all three mental conditions and cognitive impairment (AOR ranged from 1.38 to 2.53, all P < 0.01). Dual users were more likely to report all three mental conditions and cognitive impairment than those who never used combustible cigarette and e-cigarette (AOR ranged from 1.89 to 2.83, all P < 0.01). Dual users also had a greater likelihood of having anxiety or depression symptoms than exclusive combustible cigarette users (AOR ranged from 1.46 to 1.47, all P < 0.01). CONCLUSIONS E-cigarette use or dual use is associated with poor mental health and cognitive impairment among US adults. Regulations on e-cigarette use are needed to prevent mental illness and improve cognitive function.
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Affiliation(s)
- Jiahui Cai
- Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, IN, United States of America.
| | - Aurelian Bidulescu
- Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, IN, United States of America
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Lu Y, Liu Q, Huang C, Tang X, Wei Y, Mo X, Huang S, Lin Y, Luo T, Gou R, Zhang Z, Qin J, Cai J. Association between plasma and dietary trace elements and obesity in a rural Chinese population. Br J Nutr 2024; 131:123-133. [PMID: 37439087 DOI: 10.1017/s0007114523001435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
Trace elements may play an important role in obesity. This study aimed to assess the plasma and dietary intake levels of four trace elements, Mn, Cu, Zn and Se in a rural Chinese population, and analyse the relationship between trace elements and obesity. A cross-sectional study involving 2587 participants was conducted. Logistic regression models were used to analyse the association between trace elements and obesity; restricted cubic spline (RCS) models were used to assess the dose-response relationship between trace elements and obesity; the weighted quantile sum (WQS) model was used to examine the potential interaction of four plasma trace elements on obesity. Logistic regression analysis showed that plasma Se concentrations in the fourth quartile (Q4) exhibited a lower risk of developing obesity than the first quartile (Q1) (central obesity: OR = 0·634, P = 0·002; general obesity: OR = 0·525, P = 0·005). Plasma Zn concentration in the third quartile (Q3) showed a lower risk of developing obesity in general obesity compared with the first quartile (Q1) (OR = 0·625, P = 0·036). In general obesity, the risk of morbidity was 1·727 and 1·923 times higher for the second and third (Q2, Q3) quartiles of dietary Mn intake than for Q1, respectively. RCS indicated an inverse U-shaped correlation between plasma Se and obesity. WQS revealed the combined effects of four trace elements were negatively associated with central obesity. Plasma Zn and Se were negatively associated with obesity, and dietary Mn was positively associated with obesity. The combined action of the four plasma trace elements had a negative effect on obesity.
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Affiliation(s)
- Yufu Lu
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Qiumei Liu
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Chuwu Huang
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Xu Tang
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Yanfei Wei
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Xiaoting Mo
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Shenxiang Huang
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Yinxia Lin
- School of Public Health, Guangxi Medical University, Shuangyong Road No.22, Nanning530021, Guangxi, People's Republic of China
| | - Tingyu Luo
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, People's Republic of China
| | - Ruoyu Gou
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, People's Republic of China
| | - Zhiyong Zhang
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, Guangxi, People's Republic of China
| | - Jian Qin
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning530021, People's Republic of China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning530021, People's Republic of China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning530021, People's Republic of China
| | - Jiansheng Cai
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi, People's Republic of China
- Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, Guangxi, People's Republic of China
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Mateo D, Marquès M, Torrente M. Metals linked with the most prevalent primary neurodegenerative dementias in the elderly: A narrative review. ENVIRONMENTAL RESEARCH 2023; 236:116722. [PMID: 37487923 DOI: 10.1016/j.envres.2023.116722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 07/26/2023]
Abstract
The ageing population has been steadily increasing worldwide, leading to a higher risk of cognitive decline and dementia. Environmental toxicants, particularly metals, have been identified as modifiable risk factors for cognitive impairment. Continuous exposure to metals occurs mainly through dietary sources, with older adults being particularly vulnerable. However, imbalances in the gut microbiota, known as dysbiosis, have also been associated with dementia. A literature review was conducted to explore the potential role of metals in the development of cognitive decline and the most prevalent primary neurodegenerative dementias, as well as their interaction with the gut microbiota. High levels of iron (Fe) and copper (Cu) are associated with mild cognitive impairment (MCI) and Alzheimer's disease (AD), while low selenium (Se) levels are linked to poor cognitive status. Parkinson's disease dementia (PDD) is associated with elevated levels of iron (Fe), manganese (Mn), and zinc (Zn), but the role of copper (Cu) remains unclear. The relationship between metals and Lewy body dementia (LBD) requires further investigation. High aluminium (Al) exposure is associated with frontotemporal dementia (FTD), and elevated selenium (Se) levels may be linked to its onset. Challenges in comparing studies arise from the heterogeneity of metal analysis matrices and analytical techniques, as well as the limitations of small study cohorts. More research is needed to understand the influence of metals on cognition through the gut microbiota (GMB) and its potential relevance in the development of these diseases.
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Affiliation(s)
- David Mateo
- Laboratory of Toxicology and Environmental Health, School of Medicine, Universitat Rovira i Virgili, Sant Llorenç 21, 43201, Reus, Catalonia, Spain; Center of Environmental, Food and Toxicological Technology - TecnATox, Universitat Rovira i Virgili, Spain
| | - Montse Marquès
- Laboratory of Toxicology and Environmental Health, School of Medicine, Universitat Rovira i Virgili, Sant Llorenç 21, 43201, Reus, Catalonia, Spain; Center of Environmental, Food and Toxicological Technology - TecnATox, Universitat Rovira i Virgili, Spain
| | - Margarita Torrente
- Laboratory of Toxicology and Environmental Health, School of Medicine, Universitat Rovira i Virgili, Sant Llorenç 21, 43201, Reus, Catalonia, Spain; Center of Environmental, Food and Toxicological Technology - TecnATox, Universitat Rovira i Virgili, Spain; Department of Psychology, CRAMC (Research Center for Behaviour Assessment), Faculty of Education Sciences and Psychology, Universitat Rovira i Virgili, Crta. de Valls s/n, 43007, Tarragona, Catalonia, Spain; Institute Lerin Neurocognitive, Alzheimer and other Neurocognitive Disorders Association, Av. D'Antoni Planas i Marca, 13, 43205, Reus, Catalonia, Spain.
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Ye Z, Tan D, Luo T, Gou R, Cai J, Wei Y, He K, Xiao S, Mai T, Tang X, Liu Q, Mo X, Lin Y, Huang S, Li Y, Qin J, Zhang Z. ApoE gene polymorphisms and metals and their interactions with cognitive function. BMC Med Genomics 2023; 16:206. [PMID: 37644506 PMCID: PMC10466837 DOI: 10.1186/s12920-023-01632-6] [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: 05/17/2023] [Accepted: 08/14/2023] [Indexed: 08/31/2023] Open
Abstract
OBJECTIVE To analyze the relationship between plasma metal elements, ApoE gene polymorphisms and the interaction between the two and impaired cognitive function in elderly population. METHOD A stratified sample was drawn according to the age of the study population, and 911 subjects were included. Baseline information and health indicators were obtained, and cognitive function status was assessed by health examination, a general questionnaire and Mini-Mental Status Examination. Plasma metal elements were measured, and SNP typing was performed. Binary logistic regression was used to analyze the factors influencing cognitive function status and the association between the SNP genetic pattern of the ApoE gene and cognitive function. RESULTS The differences in gene frequencies and genotype frequencies of the ApoE rs7412 and rs7259620 genotype frequencies were statistically different between the cognitive impairment group and the control group (P < 0.05). statistically differences were found for the codominant model in rs7412-TT compared with the CC genotype (OR = 3.112 (1.159-8.359), P = 0.024) and rs7259620-AA compared with the GG genotype (OR = 1.588 (1.007-2.504), P = 0.047). Statistically differences were found in the recessive models rs7412-TT compared with (CC + CT) (OR = 2.979 (1.112-7.978), P = 0.030), rs7259620-AA compared with (GG + GA), and rs405509-GG compared with (TT + TG) (OR = 1.548(1.022-2.344), P = 0.039) all of which increased the risk of developing cognitive impairment. The differences in plasma Fe, Cu, and Rb concentrations between the case and control groups were significant (P < 0.05). The regression results showed that the plasma Cd concentrations in the Q1 range was a protective factor for cognitive function compared with Q4 (0.510 (0.291-0.892), P = 0.018). Furthermore, there was a multiplicative interaction between the codominant and recessive models for the Q2 concentrations of Cd and the rs7259620 loci, and the difference was significant, indicating increased risk of developing cognitive impairment (codominant model OR = 3.577 (1.496-8.555), P = 0.004, recessive model OR = 3.505 (1.479-8.307), P = 0.004). There was also a multiplicative interaction between Cd and the recessive model at the rs405509 loci, and the difference was significant, indicating increased risk of developing cognitive impairment (OR = 3.169 (1.400-7.175), P = 0.006). CONCLUSION The ApoE rs7412, rs7259620 and rs405509 loci were associated with cognitive impairment in the elderly population, and there was an interaction between plasma metalloid Cd and the rs7259620 and rs405509 loci that increased the risk of cognitive impairment in the elderly population.
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Affiliation(s)
- Zeyan Ye
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China
| | - Dechan Tan
- Guangzhou Huashang Vocational College, No.1 Huashang Road, Lihu Street, Zengcheng District, Guangzhou, Guangdong Province, 511300, China
| | - Tingyu Luo
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China
| | - Ruoyu Gou
- School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Jianshen Cai
- Department of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China
| | - Yanfei Wei
- Department of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China
| | - Kailian He
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China
| | - Song Xiao
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China
| | - Tingyu Mai
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China
| | - Xu Tang
- Department of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China
| | - Qiumei Liu
- Department of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China
| | - Xiaoting Mo
- Department of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China
| | - Yinxia Lin
- Department of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China
| | - Shenxiang Huang
- Department of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China
| | - You Li
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China
| | - Jian Qin
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China.
| | - Zhiyong Zhang
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China.
- Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, China.
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Bibi K, Shah MH. Investigation of imbalances in essential/toxic metal levels in the blood of laryngeal cancer patients in comparison with controls. Biometals 2023; 36:111-127. [PMID: 36370262 DOI: 10.1007/s10534-022-00464-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 11/03/2022] [Indexed: 11/13/2022]
Abstract
Laryngeal carcinoma is one of the common types of head and neck cancer, with men being more likely than women to develop it. Diet, age, gender, smoking habits, and environmental factors play important roles in its development. The goal of this study was to ascertain if there were imbalances in essential and toxic trace metals owing to the initiation and progression of laryngeal cancer. Atomic absorption spectrometry was employed to quantify selected macroelements, and essential/toxic trace metals in blood of the cancerous patients and matching controls. Significantly higher concentrations of Pb, Cu, Fe, and Sr while substantially lower levels of Na, K, Ca, and Mg were observed in the cancer patients compared with the controls. Considerably disparate mutual relationships among the macroelements, and essential/toxic trace metals in the patients and controls were manifested by their correlation coefficients. Similarly, multivariate apportionment of the metal levels showed appreciably diverse associations and grouping in the patients and controls. The laryngeal cancer patients exhibited significant disparities in the metal levels among various sub-types (supraglottic, subglottic, transglottic, and glottic cancer) and stages (I, II, III, and IV) of the disease. Most of the metals revealed distinct differences based on the gender, habitat, age, eating preferences, and smoking habits in both donor groups. Overall, the study demonstrated significant imbalances among the macroelements, and essential/toxic trace metal levels in the blood of laryngeal cancer patients compared to the controls.
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Affiliation(s)
- Kalsoom Bibi
- Department of Chemistry, Quaid-i-Azam University, Islamabad, 45320, Pakistan
| | - Munir H Shah
- Department of Chemistry, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
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Wang R, Shi Z, Li J, Tang D, Qin S, Guo Y. Protective Effect of Manganese on Apoptosis and Mitochondrial Function of Heat-Stressed Primary Chick Embryonic Myocardial Cells. Biol Trace Elem Res 2022; 200:4419-4429. [PMID: 34779997 DOI: 10.1007/s12011-021-03016-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/03/2021] [Indexed: 12/16/2022]
Abstract
Heat stress, as a kind of oxidative stress, induces cell apoptosis. Apoptosis is a form of programmed cell death, and mitochondria play an important role in apoptosis. Manganese (Mn) has an antioxidant capacity by enhancing the activity of manganese superoxide dismutase (MnSOD). To investigate the potential effect of Mn on heat stress-induced apoptosis and mitochondrial function, we examined crucial related factors in the context of heat stress using primary chick embryonic myocardial cells pretreated with Mn for 24 h. The results showed that Mn restored the heat stress-induced decrease in cell viability and reduced the activities of caspase-3 (P < 0.05). The repression of the Δψm and intracellular ATP content caused by heat stress was reversed dramatically in the Mn pretreatment group (P < 0.05). Additionally, Mn inhibited heat stress-induced mitochondrial fission, as shown by decreased mitochondrial fission-related protein dynamin-related protein 1 (Drp1) expression and increased mitochondrial fusion-related protein optic atrophy 1 (Opa1) and mitofusin 1 (Mfn1) (P < 0.05) in primary chick embryonic myocardial cells. It was concluded that Mn attenuates the mitochondrial-mediated apoptosis pathway and sustains mitochondrial structure and function under heat stress in primary chick embryonic myocardial cells.
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Affiliation(s)
- Rui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China
| | - Zhaoguo Shi
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China
| | - Jinlu Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China
| | - Defu Tang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China
| | - Shizhen Qin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China.
| | - Yanli Guo
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China
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Strumylaite L, Kregzdyte R, Kucikiene O, Baranauskiene D, Simakauskiene V, Naginiene R, Damuleviciene G, Lesauskaite V, Zemaitiene R. Alzheimer's Disease Association with Metals and Metalloids Concentration in Blood and Urine. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127309. [PMID: 35742553 PMCID: PMC9224238 DOI: 10.3390/ijerph19127309] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 06/10/2022] [Accepted: 06/11/2022] [Indexed: 02/01/2023]
Abstract
As there is some evidence that the risk for Alzheimer’s disease (AD) is partially attributable to environmental exposure to some metals and metalloids, we examined an association between AD and arsenic, chromium, and selenium in 53 AD patients and 217 controls. Urinary arsenic, blood chromium, and selenium were determined by inductively coupled plasma mass spectrometry. Logistic regression models calculating odds ratios (ORs) and 95% confidence intervals (CI) were used to estimate AD association with arsenic, chromium, and selenium. In AD patients, urinary arsenic and blood chromium were significantly higher, while blood selenium was significantly lower compared to controls. Increased blood selenium was related to a significant decrease in the odds of AD after adjustment for risk factors. Blood selenium per 1 kg × 10−9/m3 × 10−4 increment was associated with 1.4 times lower risk of AD (OR = 0.71; 95% CI 0.58–0.87). A significant increase in the odds of AD associated with increased blood chromium was also seen in the adjusted model: the OR per 1 kg × 10−9/m3 × 10−3 chromium increment was 2.39 (95% CI 1.32–4.31). The association of urinary arsenic with the risk of AD was not significant. The data obtained provide evidence that selenium reduces the risk of Alzheimer’s disease, while chromium increases it.
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Affiliation(s)
- Loreta Strumylaite
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (R.K.); (D.B.); (V.S.); (R.N.)
- Correspondence: ; Tel.: +370-37-302948
| | - Rima Kregzdyte
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (R.K.); (D.B.); (V.S.); (R.N.)
| | - Odeta Kucikiene
- Department of Geriatrics, Medical Academy, Lithuanian University of Health Science, LT-44307 Kaunas, Lithuania; (O.K.); (G.D.); (V.L.)
| | - Dale Baranauskiene
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (R.K.); (D.B.); (V.S.); (R.N.)
| | - Vaida Simakauskiene
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (R.K.); (D.B.); (V.S.); (R.N.)
| | - Rima Naginiene
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania; (R.K.); (D.B.); (V.S.); (R.N.)
| | - Gyte Damuleviciene
- Department of Geriatrics, Medical Academy, Lithuanian University of Health Science, LT-44307 Kaunas, Lithuania; (O.K.); (G.D.); (V.L.)
| | - Vita Lesauskaite
- Department of Geriatrics, Medical Academy, Lithuanian University of Health Science, LT-44307 Kaunas, Lithuania; (O.K.); (G.D.); (V.L.)
| | - Reda Zemaitiene
- Department of Ophthalmology, Medical Academy, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania;
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