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Pacheco DA, de Sousa Campêlo AL, de Sousa SES, Sales MC, Sena-Evangelista KCM, Barbosa F, Lima KC, Ferreira MRP, Reis BZ, Pedrosa LFC. Association between exposure to plasma mixture of essential and toxic elements and the lipid profile in institutionalized older adults. J Trace Elem Med Biol 2024; 85:127490. [PMID: 38954873 DOI: 10.1016/j.jtemb.2024.127490] [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: 03/01/2024] [Revised: 05/17/2024] [Accepted: 06/19/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Older adults have a progressive deficiency in the ability to detoxify chemical elements and are susceptible to dyslipidemia and changes in glycemic control. The objective was to evaluate the association of the mixture of essential and toxic elements in the plasma of institutionalized older adults and test the associations with lipid profile variables and glycemic control. METHODS Data were obtained from 149 Brazilian older adults aged ≥60 living in nursing homes (NH) in Natal, Brazil. The concentrations of sixteen chemical elements in plasma and lipid profile parameters and glycemic control of 149 institutionalized older adults were measured. Bayesian kernel machine regression was used to estimate the associations of the mixture of chemical elements with total cholesterol (TC), high-density lipoprotein (HDL-c), low-density lipoprotein (LDL-c), triglycerides (TG), fasting glucose, and glycated hemoglobin. RESULTS Non-linear responses to exposure were observed for iron (Fe) about TC, LDL-c, and TG, and for barium (Ba) and copper (Cu) about TG. The concentration of the mixture of chemical elements below the 35th percentile was associated with a decrease in TC. Fe was the main element in the effect of the mixture associated with TC. CONCLUSIONS The lower concentrations of the mixture of chemical elements in plasma had a protective effect on the increase in TC, with Fe being the main element. Considering the results, the levels of essential and toxic elements in the plasma of older adults require extensive screening, mainly to prevent dyslipidemia and monitor clinical interventions.
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Affiliation(s)
- Daniela Antunes Pacheco
- Graduate Program in Nutrition, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil
| | - Angélica Lopes de Sousa Campêlo
- Graduate Program in Nutrition, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil
| | - Sara Estéfani Soares de Sousa
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Avenida Gustavo Cordeiro de Farias, s/n, Petrópolis, Natal, RN CEP: 59012570, Brazil
| | - Márcia Cristina Sales
- School of Medicine, State University of Roraima, Rua Sete de Setembro, 231, Canarinho, Boa Vista, RR CEP: 69306530, Brazil
| | - Karine Cavalcanti Maurício Sena-Evangelista
- Graduate Program in Nutrition, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil; Department of Nutrition, Federal University of Rio Grande do Norte, Av. Senador, Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil
| | - Fernando Barbosa
- Laboratory of Clinical, Toxicological and Bromatological Analysis, Faculty of Pharmaceutical Sciences, University of São Paulo, Ribeirão Preto, Ribeirão Preto, SP CEP 14040-903, Brazil
| | - Kenio Costa Lima
- Department of Dentistry, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 1787 - Lagoa Nova, Natal, RN CEP: 59056000, Brazil
| | - Marcelo Rodrigo Portela Ferreira
- Department of Statistics, Federal University of Paraíba, João Pessoa, Conj. Pres, Castelo Branco III, João Pessoa, PB 58050-585, Brazil
| | - Bruna Zavarize Reis
- Graduate Program in Nutrition, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil; Department of Nutrition, Federal University of Rio Grande do Norte, Av. Senador, Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil
| | - Lucia Fatima Campos Pedrosa
- Graduate Program in Nutrition, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil; Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Avenida Gustavo Cordeiro de Farias, s/n, Petrópolis, Natal, RN CEP: 59012570, Brazil; Department of Nutrition, Federal University of Rio Grande do Norte, Av. Senador, Salgado Filho, 3000 - Lagoa Nova, Natal, RN CEP: 59078900, Brazil.
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Du G, Song X, Zhou F, Ouyang L, Li Q, Ruan S, Su R, Rao S, Zhu Y, Xie J, Feng C, Fan G. Association Between Multiple Metal(loid)s Exposure and Blood Lipid Levels: Evidence from a Cross-Sectional Study of Southeastern China. Biol Trace Elem Res 2024; 202:3483-3495. [PMID: 37991670 DOI: 10.1007/s12011-023-03951-2] [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: 08/07/2023] [Accepted: 11/01/2023] [Indexed: 11/23/2023]
Abstract
Exposure to essential and toxic metals occurs simultaneously as a mixture in real-life. However, there is no consensus regarding the effects of co-exposure to multiple metal(loid)s (designated hereafter metals) on blood lipid levels. Thus, blood concentrations of six human essential metals and five toxic metals in 720 general populations from southeastern China were simultaneously determined as a measure of exposure. In addition, quantile g-computation, Bayesian kernel machine regression, elastic net regression, and generalized linear model were used to investigate both the joint and individual effects of exposure to this metal mixture on human blood lipid levels. The significant positive joint effect of exposure to this metal mixture on serum total cholesterol (TC) levels, rather than on serum triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, Castelli risk index I, Castelli risk index II, atherogenic coefficient, and non-HDL-C levels, was found. In addition, the positive effect may be primarily driven by selenium (Se), lead (Pb), and mercury (Hg) exposure. In addition, on the effect of TC levels, the synergistic effect between Pb and Hg and the antagonistic effect between Se and Pb were identified. Our finding suggests that combined exposure to this metal mixture may affect human blood lipid levels. Therefore, reducing exposure to heavy metals, such as Pb and Hg, should be a priority for the general population. In addition, Se supplementation should also be considered with caution.
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Affiliation(s)
- Guihua Du
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Xiaoguang Song
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Institute of Environmental Health, Jiangxi Province Center for Disease Control and Prevention, Nanchang, 330046, People's Republic of China
| | - Fankun Zhou
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Lu Ouyang
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Qi Li
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Shiying Ruan
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- The First Affiliated Hospital of Nanchang University, Nanchang, 330006, People's Republic of China
| | - Rui Su
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Shaoqi Rao
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Yanhui Zhu
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Jie Xie
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Chang Feng
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Guangqin Fan
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China.
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Pálešová N, Řiháčková K, Kuta J, Pindur A, Šebejová L, Čupr P. Internal Flames: Metal(loid) Exposure Linked to Alteration of the Lipid Profile in Czech Male Firefighters (CELSPAC-FIREexpo Study). ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 2024; 11:679-686. [PMID: 39006815 PMCID: PMC11238583 DOI: 10.1021/acs.estlett.4c00272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/03/2024] [Accepted: 06/05/2024] [Indexed: 07/16/2024]
Abstract
Increased wildfire activity increases the demands on fire rescue services and firefighters' contact with harmful chemicals. This study aimed to determine firefighters' exposure to toxic metal(loid)s and its association with the lipid profile. CELSPAC-FIREexpo study participants (including 110 firefighters) provided urine and blood samples to quantify urinary levels of metal(loid)s (arsenic, cadmium (Cd), mercury, and lead (Pb)), and serum lipid biomarkers (cholesterol (CHOL), low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglycerides (TG)). The associations were investigated by using multiple linear regression and Bayesian weighted quantile sum (BWQS) regression. Higher levels of Pb were observed in firefighters. Pb was positively associated with CHOL and TG. Cd was negatively associated with HDL. In the BWQS model, the mixture of metal(loid)s was associated positively with CHOL (β = 14.75, 95% CrI = 2.45-29.08), LDL (β = 15.14, 95% CrI = 3.39-29.35), and TG (β = 14.79, 95% CrI = 0.73-30.42), while negatively with HDL (β = -14.96, 95% CrI = -25.78 to -1.8). Pb emerged as a key component in a metal(loid) mixture. The results suggest that higher exposure to lead and the mixture of metal(loid)s is associated with the alteration of the lipid profile, which can result in an unfavorable cardiometabolic profile, especially in occupationally exposed firefighters.
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Affiliation(s)
- Nina Pálešová
- RECETOX, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
| | - Katarína Řiháčková
- RECETOX, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
| | - Jan Kuta
- RECETOX, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
| | - Aleš Pindur
- RECETOX, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
- Faculty of Sports Studies, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
- Training Centre of Fire Rescue Service, Fire Rescue Service of the Czech Republic, Ministry of the Interior, Trnkova 85, 628 00 Brno, Czech Republic
| | - Ludmila Šebejová
- RECETOX, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
| | - Pavel Čupr
- RECETOX, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
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Yim G, Margetaki K, Romano ME, Kippler M, Vafeiadi M, Roumeliotaki T, Bempi V, Farzan SF, Chatzi L, Howe CG. Metal mixture exposures and serum lipid levels in childhood: the Rhea mother-child cohort in Greece. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:688-698. [PMID: 38698271 DOI: 10.1038/s41370-024-00674-x] [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: 09/19/2023] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND Growing evidence suggests that cardiovascular disease develops over the lifetime, often beginning in childhood. Metal exposures have been associated with cardiovascular disease and important risk factors, including dyslipidemia, but prior studies have largely focused on adult populations and single metal exposures. OBJECTIVE To investigate the individual and joint impacts of multiple metal exposures on lipid levels during childhood. METHODS This cross-sectional study included 291 4-year-old children from the Rhea Cohort Study in Heraklion, Greece. Seven metals (manganese, cobalt, selenium, molybdenum, cadmium, mercury, and lead) were measured in whole blood using inductively coupled plasma mass spectrometry. Serum lipid levels included total cholesterol, triglycerides, high-density lipoprotein (HDL) cholesterol, and low-density lipoprotein (LDL) cholesterol. To determine the joint and individual impacts of child metal exposures (log2-transformed) on lipid levels, Bayesian kernel machine regression (BKMR) was employed as the primary multi-pollutant approach. Potential effect modification by child sex and childhood environmental tobacco smoke exposure was also evaluated. RESULTS BKMR identified a positive association between the metal mixture and both total and LDL cholesterol. Of the seven metals examined, selenium (median 90.6 [IQR = 83.6, 96.5] µg/L) was assigned the highest posterior inclusion probability for both total and LDL cholesterol. A difference in LDL cholesterol of 8.22 mg/dL (95% CI = 1.85, 14.59) was observed when blood selenium was set to its 75th versus 25th percentile, holding all other metals at their median values. In stratified analyses, the positive association between selenium and LDL cholesterol was only observed among boys or among children exposed to environmental tobacco smoke during childhood. IMPACT STATEMENT Growing evidence indicates that cardiovascular events in adulthood are the consequence of the lifelong atherosclerotic process that begins in childhood. Therefore, public health interventions targeting childhood cardiovascular risk factors may have a particularly profound impact on reducing the burden of cardiovascular disease. Although growing evidence supports that both essential and nonessential metals contribute to cardiovascular disease and risk factors, such as dyslipidemia, prior studies have mainly focused on single metal exposures in adult populations. To address this research gap, the current study investigated the joint impacts of multiple metal exposures on lipid concentrations in early childhood.
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Affiliation(s)
- Gyeyoon Yim
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, NH, USA.
| | - Katerina Margetaki
- Clinic of Preventive Medicine and Nutrition, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Megan E Romano
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, NH, USA
| | - Maria Kippler
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Vicky Bempi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Leda Chatzi
- Department of Population and Public Health Sciences, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, NH, USA
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Blaustein JR, Quisel MJ, Hamburg NM, Wittkopp S. Environmental Impacts on Cardiovascular Health and Biology: An Overview. Circ Res 2024; 134:1048-1060. [PMID: 38662864 PMCID: PMC11058466 DOI: 10.1161/circresaha.123.323613] [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] [Indexed: 05/02/2024]
Abstract
Environmental stressors associated with human activities (eg, air and noise pollution, light disturbance at night) and climate change (eg, heat, wildfires, extreme weather events) are increasingly recognized as contributing to cardiovascular morbidity and mortality. These harmful exposures have been shown to elicit changes in stress responses, circadian rhythms, immune cell activation, and oxidative stress, as well as traditional cardiovascular risk factors (eg, hypertension, diabetes, obesity) that promote cardiovascular diseases. In this overview, we summarize evidence from human and animal studies of the impacts of environmental exposures and climate change on cardiovascular health. In addition, we discuss strategies to reduce the impact of environmental risk factors on current and future cardiovascular disease burden, including urban planning, personal monitoring, and mitigation measures.
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Affiliation(s)
- Jacob R. Blaustein
- New York University Grossman School of Medicine, Department of Medicine, Leon H. Charney Division of Cardiology, New York, USA
| | - Matthew J. Quisel
- Department of Medicine, Boston University Chobanian and Avedision School of Medicine
| | - Naomi M. Hamburg
- Section of Vascular Biology, Whitaker Cardiovascular Institute, Chobanian and Avedisian School of Medicine, Boston University, Boston, USA
| | - Sharine Wittkopp
- New York University Grossman School of Medicine, Department of Medicine, Leon H. Charney Division of Cardiology, New York, USA
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Martin L, Boutwell BB, Messerlian C, Adams CD. Mendelian randomization reveals apolipoprotein B shortens healthspan and possibly increases risk for Alzheimer's disease. Commun Biol 2024; 7:230. [PMID: 38402277 PMCID: PMC10894226 DOI: 10.1038/s42003-024-05887-2] [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: 12/29/2022] [Accepted: 02/05/2024] [Indexed: 02/26/2024] Open
Abstract
Apolipoprotein B-100 (APOB) is a component of fat- and cholesterol-transporting molecules in the bloodstream. It is the main lipoprotein in low-density lipoprotein cholesterol (LDL) and has been implicated in conditions that end healthspan (the interval between birth and onset of chronic disease). However, APOB's direct relationship with healthspan remains uncertain. With Mendelian randomization, we show that higher levels of APOB and LDL shorten healthspan in humans. Multivariable Mendelian randomization of APOB and LDL on healthspan suggests that the predominant trait accounting for the relationship is APOB. In addition, we provide preliminary evidence that APOB increases risk for Alzheimer's disease, a condition that ends healthspan. If these relationships are causal, they suggest that interventions to improve healthspan in aging populations could include strategies targeting APOB. Ultimately, given that more than 44 million people currently suffer from Alzheimer's disease worldwide, such interventions are needed.
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Affiliation(s)
- Leah Martin
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Brian B Boutwell
- School of Applied Sciences, University of Mississippi, University, Jackson, MS, USA
- John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Carmen Messerlian
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital Fertility Center, Boston, MA, USA
- Department of Environmental Health, Harvard T. H. Chan School of Public Heath, Boston, MA, USA
| | - Charleen D Adams
- Department of Environmental Health, Harvard T. H. Chan School of Public Heath, Boston, MA, USA.
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Wang G, Fang L, Chen Y, Ma Y, Zhao H, Wu Y, Xu S, Cai G, Pan F. Association between exposure to mixture of heavy metals and hyperlipidemia risk among U.S. adults: A cross-sectional study. CHEMOSPHERE 2023; 344:140334. [PMID: 37788750 DOI: 10.1016/j.chemosphere.2023.140334] [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: 05/28/2023] [Revised: 09/20/2023] [Accepted: 09/28/2023] [Indexed: 10/05/2023]
Abstract
Previous studies have suggested that exposure to heavy metals might increase the risk of hyperlipidemia. However, limited research has investigated the association between exposure to mixture of heavy metals and hyperlipidemia risk. To explore the independent and combined effects of heavy metal exposure on hyperlipidemia risk, this study involved 3293 participants from the National Health and Nutrition Examination Survey (NHANES), including 2327 with hyperlipidemia and the remaining without. In the individual metal analysis, the logistic regression model confirmed the positive effects of barium (Ba), cadmium (Cd), mercury (Hg), Lead (Pb), and uranium (U) on hyperlipidemia risk, Ba, Cd, Hg and Pb were further validated in restricted cubic splines (RCS) regression model and identified as positive linear relationships. In the metal mixture analysis, weighted quantile sum (WQS) regression, Bayesian kernel machine regression (BKMR), and quantile-based g computation (qgcomp) models consistently revealed a positive correlation between exposure to metal mixture and hyperlipidemia risk, with Ba, Cd, Hg, Pb, and U having significant positive driving roles in the overall effects. These associations were more prominent in young/middle-aged individuals. Moreover, the BKMR model uncovered some interactions between specific heavy metals. In conclusion, this study offers new evidence supporting the link between combined exposure to multiple heavy metals and hyperlipidemia risk, but considering the limitations of this study, further prospective research is required.
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Affiliation(s)
- Guosheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Lanlan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Hui Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Ye Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Shengqian Xu
- Department of Rheumatism and Immunity, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Guoqi Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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8
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Li B, Zhang F, Jiang H, Wang C, Zhao Q, Yang W, Hu A. Adequate Intake of Dietary Fiber May Relieve the Detrimental Impact of Blood Lead on Dyslipidemia among US Adults: A Study of Data from the National Health and Nutrition Examination Survey Database. Nutrients 2023; 15:4434. [PMID: 37892509 PMCID: PMC10610417 DOI: 10.3390/nu15204434] [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: 09/25/2023] [Revised: 10/15/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
Lead (Pb) exposure is a well-established risk factor for dyslipidemia, and people are exposed to it in multiple ways daily. Dietary fiber is presumed to improve lipid metabolism disorders, but it is still unknown whether it can relieve the detrimental impact of Pb on dyslipidemia. We used publicly accessible data from the 2011-2016 cycles of the National Health and Nutrition Examination Survey (NHANES). A total of 2128 US adults were enrolled for the subsequent analysis. Heavy metal concentrations in blood were measured using inductively coupled plasma mass spectrometry (ICP-MS). A weighted logistic regression was conducted to calculate odds ratios (ORs) and 95% confidence intervals (CIs). The dose-response relationship between blood heavy metals and dyslipidemia was explored using a weighted restricted cubic spline (RCS) analysis. After fully adjusting for potential confounding factors (age, gender, race, education level, ratio of family income to poverty, marital status, body mass index, physical activity, waist circumference, smoke, alcohol drinking and history of metabolic syndrome, hypertension, and diabetes), a positive association between blood Pb levels and dyslipidemia risk was revealed (OR = 1.20, 95% CI: 1.03-1.40). Dietary fiber intake may significantly modify the association between blood Pb levels and dyslipidemia (p-interaction = 0.049), with a stronger association (OR = 1.26, 95% CI: 1.05-1.52) being revealed in individuals with an inadequate intake of dietary fiber (<14 g/1000 kcal/day), but a null association (OR = 1.01, 95% CI: 0.72-1.42) being observed in those with an adequate intake of dietary fiber (≥14 g/1000 kcal/day). Moreover, the weighted RCS analysis showed that compared with the average blood Pb exposure level (4.24 µg/dL), a lower blood Pb exposure level (3.08 µg/dL) may contribute to the risk of dyslipidemia in the group with an inadequate dietary fiber intake. Our findings suggest that Pb exposure in blood may be a risk factor for dyslipidemia. However, an adequate dietary fiber intake may offset the risk of dyslipidemia caused by blood Pb exposure. Since avoiding Pb exposure in daily life is difficult, increasing dietary fiber intake in the future might be a promising approach to alleviate dyslipidemia caused by Pb exposure.
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Affiliation(s)
| | | | | | | | | | | | - Anla Hu
- Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China; (B.L.); (F.Z.); (H.J.); (C.W.); (Q.Z.); (W.Y.)
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9
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Adejumo OA, Enikuomehin AC, Ogunleye A, Osungbemiro WB, Adelosoye AA, Akinbodewa AA, Lawal OM, Ngoka SC, Junaid OA, Okonkwo K, Alli EO, Oloyede RO. Cardiovascular risk factors and kidney function among automobile mechanic and their association with serum heavy metals in Southwest Nigeria: A cross-sectional study. PLoS One 2023; 18:e0292364. [PMID: 37819988 PMCID: PMC10566715 DOI: 10.1371/journal.pone.0292364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/18/2023] [Indexed: 10/13/2023] Open
Abstract
INTRODUCTION The burden of cardiovascular disease (CVD) is huge due to its associated morbidity, mortality and adverse socio-economic impact. Environmental pollution as a risk factor contributes significantly to the burden of CVD, especially in the low and middle income countries. One of the effective strategies to reduce CVD burden is to prevent or detect cardiovascular risk factors early in at-risk population. This study determined some cardiovascular risk factors, kidney function, and their association with heavy metals among automobile mechanics. METHOD This was a cross-sectional study involving 162 automobile mechanics and 81 age and sex matched controls. Serum levels of lead, cadmium and some cardiovascular risks were assessed and compared in the two groups. Associations between serum lead, cadmium and some cardiovascular risks were determined using correlation analysis. P value of <0.05 was taken as significant. RESULTS The mean ages of the automobile mechanics and controls were 47.27±9.99 years and 48.94±10.34 years, respectively. The prevalence of elevated serum cadmium was significantly higher in the automobile mechanics (25.9% vs 7.9%; p = <0.001). The significant cardiovascular risk factors in the automobile mechanics vs controls were elevated total cholesterol (32.1% vs 18.5%; p = 0.017), hyperuricemia (20.4% vs 1.2%; p = <0.001), elevated blood glucose (16.0% vs 4.9% p = 0.013); and alcohol use (55.1% vs 30.0%; p = 0.001). Among the automobile mechanics, there were significant positive correlations between serum cadmium, atherogenic index of plasma (AIP) (p = 0.024; r = 0.382) and triglyceride (p = 0.020; r = 0.391). Significant positive correlation was found between serum lead and neutrophil gelatinase associated lipocalin (NGAL) (p = <0.001; r = 0.329). There were significant positive correlation between serum cadmium level, AIP (p = 0.016; r = 0.373) and TG (p = 0.004; r = 0.439); between serum lead and NGAL in all the study participants (p = 0.005; r = 0.206). CONCLUSION Automobile mechanics have notable exposure to heavy metals and a higher prevalence of some cardiovascular risk factors. Health education and sensitisation as well as policies that would regulate exposure of persons to heavy metals should be implemented in Nigeria.
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Affiliation(s)
- Oluseyi Ademola Adejumo
- Department of Internal Medicine, University of Medical Sciences, Ondo City, Ondo State, Nigeria
| | | | - Adeyemi Ogunleye
- Department of Medical Laboratory Science, University of Medical Sciences, Ondo City, Ondo State, Nigeria
| | | | - Alex Adedotun Adelosoye
- Department of Family Medicine, University of Medical Sciences Teaching Hospital, Akure, Ondo State, Nigeria
| | | | - Olutoyin Morenike Lawal
- Department of Internal Medicine, University of Medical Sciences, Ondo City, Ondo State, Nigeria
| | - Stanley Chidozie Ngoka
- Department of Internal Medicine, Federal University Teaching Hospital, Owerri, Imo State, Nigeria
| | | | - Kenechukwu Okonkwo
- Department of Internal Medicine, University of Medical Sciences, Ondo City, Ondo State, Nigeria
| | - Emmanuel Oladimeji Alli
- Department of Internal Medicine, University of Medical Sciences, Ondo City, Ondo State, Nigeria
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10
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Zhang Z, Wang R, He P, Dai Y, Duan S, Li M, Shen Z, Li X, Sun J. Study on the correlation and interaction between metals and dyslipidemia: a case-control study in Chinese community-dwelling elderly. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:105756-105769. [PMID: 37715907 DOI: 10.1007/s11356-023-29695-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 08/31/2023] [Indexed: 09/18/2023]
Abstract
Previous studies on the association between metals and dyslipidemia are not completely consistent. There are few studies investigating the relationship between mixed metal exposure and dyslipidemia as well as the effects of metals on dyslipidemia in community-dwelling elderly. To evaluate the correlations and interaction effect between the urinary concentrations of metals and the risk of dyslipidemia in community-dwelling elderly. We designed a case-control study to assess the correlation between urine metals and dyslipidemia in elderly people in the Yinchuan. The urinary levels of 13 metals, including calcium, vanadium, iron, cobalt, zinc, copper, arsenic, selenium, molybdenum, cadmium, tellurium, and thallium, were measured by inductively coupled plasma-mass spectrometry (ICP-MS), and the blood biochemical analyzer was used to measure the blood lipid levels of 3384 senior individuals from four different areas of Yinchuan city. Logistic regression and restricted cubic splines (RCS) were used to explore the correlation and dose-response relationship between urinary metals and the risk of dyslipidemia. Least absolute shrinkage and selection operator (LASSO) regression was used to select metals, and then weighted quantile sum (WQS) regression was used to explore the weight of each metal in mixed metals. Bayesian kernel machine regression (BKMR) was used to explore the interactions between metals on dyslipidemia risk. (1) After selection by LASSO regression, in the multi-metal model, compared with the lowest quartile, the adjusted ORs (95%CI) of the highest quartiles were 0.47 (0.37-0.60) for Fe, 1.43 (1.13-1.83) for Zn, 1.46 (1.11-1.92) for As, 0.59 (0.44-0.80) for Se, 1.53 (1.18-2.00) for Mo, and 1.36 (1.07-1.73) for Te. (2) In the WQS regression model, Fe and Mo accounted for the largest weight in the negative and positive effects of dyslipidemia, respectively. (3) In the BKMR model, there may be a positive interaction between Te and Se on dyslipidemia. Among the mixed metals, Fe, As, Se, Mo, and Te were associated with the prevalence of dyslipidemia, with Fe and Mo contributing the most. There may be certain interactions between Te and Se.
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Affiliation(s)
- Zhongyuan Zhang
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Rui Wang
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Pei He
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Yuqing Dai
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Siyu Duan
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Meiyan Li
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Zhuoheng Shen
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Xiaoyu Li
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China
| | - Jian Sun
- School of Public Health, Ningxia Medical University, No.1160, Shengli Street, Xingqing District, Yinchuan, 750004, People's Republic of China.
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan Ningxia, 750004, People's Republic of China.
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11
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Cakmak S, Mitchell K, Lukina A, Dales R. Do blood metals influence lipid profiles? Findings of a cross-sectional population-based survey. ENVIRONMENTAL RESEARCH 2023; 231:116107. [PMID: 37187310 DOI: 10.1016/j.envres.2023.116107] [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: 03/15/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 05/17/2023]
Abstract
Dyslipidemia, an imbalance of lipids and a major risk factor for cardiovascular disease, has been associated with elevated blood and urine levels of several heavy metals. Using data from a Canadian Health Measures Survey (CHMS), we tested associations between blood levels of cadmium, copper, mercury, lead, manganese, molybdenum, nickel, selenium, and zinc, and the lipids triglycerides (TG), total cholesterol (TC), low density lipoproteins (LDL), high density lipoproteins (HDL) and apolipoproteins A1 (APO A1), and B (APO B). All adjusted associations between single metals and lipids were positive and significant, except for APO A1 and HDL. The joint effect of an interquartile range increase in heavy metals was positively associated with percentage increases of TC, LDL and APO B of 8.82% (95%CI: 7.06, 10.57), 7.01% (95%CI: 2.51, 11.51) and 7.15% (95%CI: 0.51, 13.78), respectively. Future studies are warranted to determine if reducing environmental exposure to heavy metals favorably influences lipid profiles and the risk of cardiovascular disease.
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Affiliation(s)
- Sabit Cakmak
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Kimberly Mitchell
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Anna Lukina
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Robert Dales
- Population Studies Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
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Martins AC, Ferrer B, Tinkov AA, Caito S, Deza-Ponzio R, Skalny AV, Bowman AB, Aschner M. Association between Heavy Metals, Metalloids and Metabolic Syndrome: New Insights and Approaches. TOXICS 2023; 11:670. [PMID: 37624175 PMCID: PMC10459190 DOI: 10.3390/toxics11080670] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 08/26/2023]
Abstract
Metabolic syndrome (MetS) is an important public health issue that affects millions of people around the world and is growing to pandemic-like proportions. This syndrome is defined by the World Health Organization (WHO) as a pathologic condition characterized by abdominal obesity, insulin resistance, hypertension, and hyperlipidemia. Moreover, the etiology of MetS is multifactorial, involving many environmental factors, including toxicant exposures. Several studies have associated MetS with heavy metals exposure, which is the focus of this review. Environmental and/or occupational exposure to heavy metals are a major risk, contributing to the development of chronic diseases. Of particular note, toxic metals such as mercury, lead, and cadmium may contribute to the development of MetS by altering oxidative stress, IL-6 signaling, apoptosis, altered lipoprotein metabolism, fluid shear stress and atherosclerosis, and other mechanisms. In this review, we discuss the known and potential roles of heavy metals in MetS etiology as well as potential targeted pathways that are associated with MetS. Furthermore, we describe how new approaches involving proteomic and transcriptome analysis, as well as bioinformatic tools, may help bring about an understanding of the involvement of heavy metals and metalloids in MetS.
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Affiliation(s)
- Airton C. Martins
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, New York, NY 10461, USA; (A.C.M.)
| | - Beatriz Ferrer
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, New York, NY 10461, USA; (A.C.M.)
| | - Alexey A. Tinkov
- Laboratory of Ecobiomonitoring and Quality Control, Yaroslavl State University, 150003 Yaroslavl, Russia; (A.A.T.)
- IM Sechenov First Moscow State Medical University (Sechenov University), 119435 Moscow, Russia
| | - Samuel Caito
- School of Pharmacy, Husson University, Bangor, ME 04401, USA
| | - Romina Deza-Ponzio
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, New York, NY 10461, USA; (A.C.M.)
| | - Anatoly V. Skalny
- Laboratory of Ecobiomonitoring and Quality Control, Yaroslavl State University, 150003 Yaroslavl, Russia; (A.A.T.)
- IM Sechenov First Moscow State Medical University (Sechenov University), 119435 Moscow, Russia
| | - Aaron B. Bowman
- School of Health Sciences, Purdue University, West Lafayette, IN 47907-2051, USA;
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, New York, NY 10461, USA; (A.C.M.)
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13
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Chen S, Zhang M, Duan L, Chen M, Du Y, Cao Y, Huang Z, Zhao J, Duan Y. Dose-response relationship of elements with blood lipids and the potential interaction: A cross-sectional study from four areas with different pollution levels in China. J Trace Elem Med Biol 2023; 79:127206. [PMID: 37224743 DOI: 10.1016/j.jtemb.2023.127206] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 04/28/2023] [Accepted: 05/15/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND A growing number of researches indicated the association between plasma trace elements and blood lipids. However, the potential interaction and dose-response relationship were less frequently reported. METHODS In this study, a total of 3548 participants were recruited from four counties in Hunan Province, South China. Demographic characteristics were collected by face-to-face interviews and inductively coupled plasma mass spectrometry (ICPMS) was used to determine the levels of 23 trace elements in plasma. We applied a fully adjusted generalized linear regression model (GLM) and a multivariate restricted cubic spline (RCS) to estimate the correlation, dose-response relationship and possible interaction between 23 trace elements and four blood lipid markers. RESULTS The results indicated positive dose-response relationships of plasma 66zinc with triglycerides (TG) and low density lipoprotein cholesterol (LDL-C), plasma 78selenium with LDL-C and total cholesterol (TCH), and plasma 59cobalt with high-density lipoprotein cholesterol (HDL-C). There was a negative dose-response relationship between 59cobalt and LDL-C. Further analysis found that 66zinc and 59cobalt had an antagonistic effect on the risk of increased LDL-C level. CONCLUSIONS This study added new evidence for the potential adverse effects of 66Zn and 78Se on blood lipids, and provided new insight into the threshold value setting for metals as well as the intervention strategy for dyslipidemia.
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Affiliation(s)
- Shaoyi Chen
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Muyang Zhang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Lidan Duan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Meiling Chen
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Yuwei Du
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Yuhan Cao
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Zhijun Huang
- Center of Clinical Pharmacology, the Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Jia Zhao
- Environmental Science and Engineering, College of Resource and Environment, Hunan Agricultural University, Changsha 410128, China
| | - Yanying Duan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha 410078, China.
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Li S, Liu R, Wu Y, Liang R, Zhou Z, Chen J, You Y, Guo P, Zhang Q. Elevated serum lead and cadmium levels associated with increased risk of dyslipidemia in children aged 6 to 9 years in Shenzhen, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27335-0. [PMID: 37148513 DOI: 10.1007/s11356-023-27335-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/26/2023] [Indexed: 05/08/2023]
Abstract
Exposure to heavy metals can influence on metabolism, but studies have not fully evaluated young children. We investigated the association between levels of serum lead (Pb), cadmium (Cd), chromium (Cr), and arsenic (As) and risk of dyslipidemia in children. A total of 4513 children aged 6 to 9 years at 19 primary schools in Shenzhen were enrolled. Overall, 663 children with dyslipidemia were matched 1:1 with control by sex and age, and levels of serum Pb, Cd, Cr, and As were detected by inductively coupled plasma-mass spectrometry. Demographic characteristics and lifestyle were covariates in the logistic regression to determine the association of heavy metal levels with risk of dyslipidemia. Serum Pb and Cd levels were significantly higher in children with dyslipidemia than controls (133.08 vs. 84.19 μg/L; 0.45 vs. 0.29 μg/L; all P < 0.05), but this association was not found in Cr and As. We found significant upward trends for the odds ratios (ORs) of dyslipidemia associated with increasing quartiles of Pb and Cd levels (highest quartile of serum Pb OR 1.86, 95% confidence interval (CI) 1.46-2.38; Cd OR 2.51, 95% CI 1.94-3.24). Elevated serum Pb and Cd levels were associated with increased risk of dyslipidemia among children.
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Affiliation(s)
- Shufan Li
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Ruiguo Liu
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Yueyang Wu
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Rimei Liang
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Zhijiang Zhou
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Jiaqi Chen
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Yingbin You
- Baoan Central Hospital of Shenzhen, No. 233, Xixiang Section, Guangshen Road, Baoan District, Shenzhen, 518102, Guangdong, People's Republic of China
| | - Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China
| | - Qingying Zhang
- Department of Preventive Medicine, Shantou University Medical College, No. 22, Xinling Road, Shantou, 515041, Guangdong, People's Republic of China.
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15
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Lin CY, Hsu SHJ, Chen CW, Wang C, Sung FC, Su TC. Association of Urinary Lead and Cadmium Levels, and Serum Lipids with Subclinical Arteriosclerosis: Evidence from Taiwan. Nutrients 2023; 15:nu15030571. [PMID: 36771277 PMCID: PMC9919350 DOI: 10.3390/nu15030571] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/14/2023] [Accepted: 01/16/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Exposure to lead and cadmium has been linked to changes in lipid metabolism and the development of arteriosclerosis, but the role of lipoprotein profiles in this relationship is not well understood, including the potential role of novel lipid biomarkers. METHODS In this study, we enrolled 736 young Taiwanese subjects aged 12 to 30 years to assess the correlation between urine levels of lead and cadmium, lipoprotein profiles, and carotid intima-media thickness (CIMT). RESULTS Higher levels of lead and cadmium were significantly associated with higher levels of low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), LDL-triglyceride (LDL-TG), and CIMT. Participants with higher levels of lead and cadmium had the highest mean values of CIMT, LDL-C, sdLDL-C, and LDL-TG. In a structural equation model, lead had a direct and indirect association with CIMT through LDL-C and sdLDL-C, whereas cadmium had a direct association with CIMT and an indirect association through LDL-C. CONCLUSION Our results suggest higher levels of lead and cadmium are associated with abnormal lipid profiles and increased CIMT. These heavy metals could have additive effects on lipids and CIMT, and the relationship between them may be mediated by lipoprotein levels. Further research is needed to determine the causal relationship.
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Affiliation(s)
- Chien-Yu Lin
- Department of Internal Medicine, En Chu Kong Hospital, New Taipei City 237, Taiwan
- School of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan
- Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu 300, Taiwan
| | - Sandy Huey-Jen Hsu
- Department of Laboratory Medicine, College of Medicine, National Taiwan University Hospital, National Taiwan University, Taipei 100, Taiwan
| | - Ching-Way Chen
- Department of Cardiology, National Taiwan University Hospital, Yunlin Branch, Yunlin 640, Taiwan
| | - Chikang Wang
- Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu 300, Taiwan
| | - Fung-Chang Sung
- Department of Health Services Administration, College of Public Health, China Medical University, Taichung 404, Taiwan
- Department of Food Nutrition and Health Biotechnology, Asia University, Taichung 413, Taiwan
| | - Ta-Chen Su
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
- Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei 100, Taiwan
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei 100, Taiwan
- The Experimental Forest, National Taiwan University, Nantou 558, Taiwan
- Correspondence: ; Tel.: +886-2-23123456 (ext. 67183); Fax: +886-2-23712361
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Wan H, Wang D, Liang Y, He Y, Ma Q, Li T, He Y, Guo H, Wang J, Li Z, Lin X, Liu L, Shen J. Single and combined associations of blood lead and essential metals with serum lipid profiles in community-dwelling adults. Front Nutr 2023; 10:1129169. [PMID: 37125027 PMCID: PMC10140323 DOI: 10.3389/fnut.2023.1129169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/23/2023] [Indexed: 05/02/2023] Open
Abstract
Background Although several studies have examined the relationships between lead (Pb) exposure and serum lipid profiles, the associations of the metal mixture, including lead (Pb) and essential metals with lipid profiles, remain unclear. Objective To investigate the associations of the metal mixture including Pb and essential metals [magnesium (Mg), manganese (Mn), copper (Cu), iron (Fe), zinc (Zn), and calcium (Ca)] with serum lipid profiles [total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)], as well as the potential interactions among the metals. Methods Nine hundred and ninety-eight Chinese community-dwelling adults completed a questionnaire and underwent checkups of anthropometric parameters, serum lipid profile levels (TC, TG, LDL-C, and HDL-C), and blood metal concentrations (Pb, Mg, Mn, Cu, Fe, Zn, and Ca). The multivariable linear regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) were applied to evaluate the single and combined associations of blood Pb and essential metals with serum lipid profiles. Results In the multivariable linear regression model, the blood Pb was positively associated with TC, LDL-C, and HDL-C (p < 0.05, all), and the blood Mg were positively associated with serum TC, LDL-C, and Ln TG (p < 0.05, all). In the WQS regression and BKMR models, the metal mixture of blood Pb and the essential metals was positively associated with all of the serum lipid profiles. In addition, an inverse U-shaped association of Pb with Ln TG and the positive interactive effect between blood Pb and Mg levels on TC and LDL-C were found. Conclusion The levels of blood Pb, together with the essential metals, especially Mg levels, are suggested to be considered when assessing dyslipidemia risk. However, more evidence is still needed to validate the conclusions.
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Affiliation(s)
- Heng Wan
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Dongmei Wang
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Yongqian Liang
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Yajun He
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Qintao Ma
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Tingting Li
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Yingbo He
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Hanquan Guo
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jiachen Wang
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhao Li
- Department of Business Development, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Xu Lin
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Lan Liu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
- Lan Liu,
| | - Jie Shen
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
- *Correspondence: Jie Shen,
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Chen QY, Wu P, Wen T, Qin X, Zhang R, Jia R, Jin J, Hu F, Xie X, Dang J. Association of cerebral spinal fluid copper imbalance in amyotrophic lateral sclerosis. Front Aging Neurosci 2022; 14:970711. [PMID: 36466599 PMCID: PMC9714432 DOI: 10.3389/fnagi.2022.970711] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 10/28/2022] [Indexed: 10/24/2023] Open
Abstract
A plethora of environmental risk factors has been persistently implicated in the pathogenesis of amyotrophic lateral sclerosis (ALS), including metal/metalloids. This study aimed to examine potential associations between cerebral spinal fluid (CSF) metal/metalloids and ALS risks. CSF concentrations of copper (Cu), nickel (Ni), mercury (Hg), arsenic (As), manganese (Mn), and iron (Fe) in ALS (spinal- and bulbar-onset) patients and controls were measured using inductively coupled plasma mass spectrometry (ICP-MS). Results from this study revealed marked differences between control, spinal-onset, and bulbar-onset groups. We report that Cu levels were lower in the ALS and spinal-onset groups compared to the control group. Ni level were higher in the spinal-onset group compared to the control and bulbar-onset groups. In addition, associations between CSF metal/metalloid levels with disease severity, sex, and serum triglycerides were also examined to broach the potential relevance of neurotoxic metal/metalloids in ALS disease heterogeneity.
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Affiliation(s)
- Qiao Yi Chen
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
| | - Peng Wu
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
| | - Ting Wen
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
| | - Xing Qin
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Ronghua Zhang
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Rui Jia
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jiaoting Jin
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Fangfang Hu
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiaoge Xie
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
| | - Jingxia Dang
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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18
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Zhang Y, Liu W, Zhang W, Cheng R, Tan A, Shen S, Xiong Y, Zhao L, Lei X. Association between blood lead levels and hyperlipidemiais: Results from the NHANES (1999-2018). Front Public Health 2022; 10:981749. [PMID: 36159291 PMCID: PMC9500574 DOI: 10.3389/fpubh.2022.981749] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/22/2022] [Indexed: 01/25/2023] Open
Abstract
Background Research on the association between blood lead (Pb) and lipid biomarkers have yielded inconsistent results, and epidemiological studies on blood Pb levels and hyperlipidemia are scarce. The present study aimed to examine the association between blood Pb levels and hyperlipidemia in adults from the National Health and Nutrition Examination Survey (NHANES). Methods A total of 43,196 participants in the NHANES from 1999 to 2018 were included in the final analysis. Hyperlipidemia was determined based on the National Cholesterol Education Program guidelines. Blood Pb levels were assessed using inductively-coupled plasma mass spectrometry. Weighted multivariable logistic regression analysis and subgroup analysis were conducted to determine the correlation between blood Pb levels and hyperlipidemia. Results In the multivariable logistic regression model, high blood Pb levels were significantly associated with hyperlipidemia after adjusting for confounders (OR 1.41; 95%CI: 1.18-1.67). Furthermore, elevated blood Pb levels were associated with an increased risk of hyperlipidemia across the four quartile (Q) groups (Q1: OR 1.00; Q2: OR 1.16 [95%CI: 1.04-1.29]; Q3: OR 1.39 [95%CI: 1.21-1.59]; and Q4: OR 1.33 [95%CI: 1.15-1.54]; P for trend <0.05). Significant moderating effects were found in the subgroup analysis stratified by age, education, hypertension, and diabetes (P < 0.05). In sensitivity analysis, the ORs for hyperlipidemia across the quartiles of blood Pb levels were 1.00, 1.17 (95%CI: 1.05-1.30), 1.42 (95%CI: 1.24-1.62), and 1.38 (95%CI: 1.19-1.60) for Q1, Q2, Q3, and Q4, respectively (P for trend <0.001) after removing adults with arteriosclerotic cardiovascular disease, and the ORs were 1.00, 1.13 (95%CI: 1.01-1.25), 1.38 (95%CI: 1.21-1.56), and 1.32 (95%CI: 1.16-1.52) for Q1, Q2, Q3, and Q4, respectively (P for trend <0.001) after including pregnant women. Conclusion The current study showed a positive association between blood lead levels and hyperlipidemia.
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Affiliation(s)
- Yangchang Zhang
- School of Public Health, Chongqing Medical University, Chongqing, China,Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China
| | - Weiwei Liu
- School of Public Health, Chongqing Medical University, Chongqing, China,Chongqing College of Traditional Chinese Medicine, Chongqing, China,Research Center for Medicine and Social Development, Chongqing, China
| | - Wei Zhang
- Chongqing College of Traditional Chinese Medicine, Chongqing, China
| | - Rui Cheng
- Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, China
| | - Andi Tan
- International Business School, Yunnan University of Finance and Economics, Kunming, China
| | - Shisi Shen
- The First School of Clinical Medicine, Chongqing Medical University, Chongqing, China
| | - Yang Xiong
- West China Hospital, Sichuan University, Chengdu, China
| | - Limei Zhao
- Chongqing Jiangjin Central Hospital, Chongqing, China
| | - Xun Lei
- School of Public Health, Chongqing Medical University, Chongqing, China,Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China,*Correspondence: Xun Lei
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