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Xiao F, Yang M, Lv J, Li J, Guo M, Duan W, Li H, An Z, Su Z, Li A, Liu Y, Lu J, Guo H. Association between per- and polyfluoroalkyl substances with serum hepatobiliary system function biomarkers in patients with acute coronary syndrome. J Environ Sci (China) 2025; 155:773-785. [PMID: 40246507 DOI: 10.1016/j.jes.2024.06.026] [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: 02/25/2024] [Revised: 06/17/2024] [Accepted: 06/19/2024] [Indexed: 04/19/2025]
Abstract
Previous studies have suggested that abnormal hepatobiliary system function may contribute to poor prognosis in patients with acute coronary syndrome (ACS) and that abnormal hepatobiliary system function may be associated with per- and polyfluoroalkyl substances (PFAS) exposure. However, there is limited evidence for this association in cardiovascular subpopulations, particularly in the ACS patients. Therefore, we performed this study to evaluate the association between plasma PFAS exposure and hepatobiliary system function biomarkers in patients with ACS. This study included 546 newly diagnosed ACS patients at the Second Hospital of Hebei Medical University, and data on 15 hepatobiliary system function biomarkers were obtained from medical records. Associations between single PFAS and hepatobiliary system function biomarkers were assessed using multiple linear regression models and restricted cubic spline model (RCS), and mixture effects were assessed using the Quantile g-computation model. The results showed that total bile acids (TBA) was negative associated with perfluorohexane sulfonic acid (PFHxS) (-7.69 %, 95 % CI: -12.15 %, -3.01 %). According to the RCS model, linear associations were found between TBA and PFHxS (P for overall = 0.003, P for non-linear = 0.234). We also have observed the association between between PFAS congeners and liver enzyme such as aspartate aminotransferase (AST) and α-l-Fucosidase (AFU), but it was not statistically significant after correction. In addition, Our results also revealed an association between prealbumin (PA) and PFAS congeners as well as mixtures. Our findings have provided a piece of epidemiological evidence on associations between PFAS congeners or mixture, and serum hepatobiliary system function biomarkers in ACS patients, which could be a basis for subsequent mechanism studies.
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Affiliation(s)
- Fang Xiao
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Junli Lv
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Jing Li
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Mingmei Guo
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - WenJing Duan
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Haoran Li
- Department of Pharmacy, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Ziwen An
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Zhengyi Su
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yi Liu
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Jingchao Lu
- Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
| | - Huicai Guo
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China; The Key Laboratory of Neural and Vascular Biology Ministry of Education, Shijiazhuang 050017, China.
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Cheng X, Liu W, Tian Z, Yan J, Liu X, Liu Q, Zhang Y, Wang Y, Hu B, Wang J, Tao F, Yang L. Associations of non-essential metal/metalloids and their mixture with liver function in Chinese older adults: the mediating roles of lipid profiles. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2025; 373:126207. [PMID: 40187525 DOI: 10.1016/j.envpol.2025.126207] [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: 01/29/2025] [Revised: 03/03/2025] [Accepted: 04/02/2025] [Indexed: 04/07/2025]
Abstract
The liver is vulnerable to damage from environmental pollutants, but evidence on the effects of non-essential metal/metalloid (NEM) mixture on liver function and their mechanisms remains limited. The study aimed to explore the correlations between individual NEMs and their combinations with liver function, and the mediating roles of lipid profiles. The research involved 2642 individuals aged 60 and older in China. Urine concentrations of arsenic (As), cesium (Cs), barium (Ba), thallium (Tl), and cadmium (Cd) were analyzed using ICP-MS. Liver function was assessed based on the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and albumin (ALB). To evaluate the individual and combined effects of these NEMs on liver function, linear regression, restricted cubic splines (RCS), weighted quantile sum (WQS), quantile g-computation (QGC), and Bayesian kernel machine regression (BKMR) models were utilized. Mediation analyses were conducted to explore the potential role of lipid profiles in NEM-liver function relations. Adjusted linear regression revealed positive associations of Tl with ALT (β = 0.044, 95 % CI: 0.022 to 0.066) and AST (β = 0.019, 95 % CI: 0.004 to 0.035), and negative associations of Cs (β = -0.015, 95 % CI: -0.020 to -0.010), Tl (β = -0.010, 95 % CI: -0.015 to -0.005), and Cd (β = -0.019, 95 % CI: -0.024 to -0.014) with ALB. The RCS model confirmed these linear relationships. Mixture models consistently demonstrated a positive association between the NEM mixture and ALT/AST, primarily driven by Tl, and a negative association with ALB, predominantly influenced by Cd. Mediation analyses suggested triglycerides and total cholesterol partially mediated the associations between Tl, the NEM mixture, and liver function. In conclusion, the NEM mixture, mainly driven by Tl and Cd, is linked to liver function impairment, with lipid profiles potentially mediating these effects. More research is needed to confirm these findings and clarify the mechanisms.
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Affiliation(s)
- Xuqiu Cheng
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Wenyuan Liu
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Ziwei Tian
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Jinqi Yan
- First School of Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xianglong Liu
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Qiang Liu
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yan Zhang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yuan Wang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; Clinical College of Anhui Medical University, Hefei, 230032, Anhui, China
| | - Bing Hu
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Jun Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Linsheng Yang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China.
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Li H, Yang M, Zhao J, Tan Z, Li L, An Z, Liu Y, Liu X, Zhang X, Lu J, Li A, Guo H. Association of Per- and Polyfluoroalkyl Substance Exposure with Coronary Stenosis and Prognosis in Acute Coronary Syndrome. ENVIRONMENT & HEALTH (WASHINGTON, D.C.) 2025; 3:291-307. [PMID: 40144317 PMCID: PMC11934203 DOI: 10.1021/envhealth.4c00166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 11/20/2024] [Accepted: 11/22/2024] [Indexed: 03/28/2025]
Abstract
Per- and polyfluoroalkyl substances (PFAS) have been associated with an increased risk of acute coronary syndromes (ACS), but the influence on the degree of coronary stenosis and prognosis is unclear. This study enrolled 571 newly diagnosed ACS cases and investigated the association of 12 PFAS with coronary stenosis severity and prognosis. Coronary stenosis was assessed via Gensini score (GS) and number of lesioned vessels (LVN). Prognosis was estimated by tracking major adverse cardiovascular events (MACE). Statistical analyses included ordered logistic regression, Cox regression, threshold effect models, Bayesian kernel machine regression, and quantile g-computation models. The adverse outcome pathway (AOP) framework was applied to reveal the underlying mechanism. The results showed positive association between perfluorooctanesulfonic acid (PFOS) and coronary stenosis, with an odds ratio (95% confidence interval, CI) of 1.33 (1.06, 1.67) for GS and 1.36 (1.08, 1.71) for LVN. PFOS significantly increased the incidence of poor prognosis, with hazard ratios (95% CI) of 1.96 (1.34, 2.89) for MACE. Threshold effects were observed for PFAS on coronary stenosis and prognosis, with PFOS thresholds of 4.65 ng/mL for GS, 4.54 ng/mL for LVN, and 5.14 ng/mL for MACE, and 5.03 ng/mL for nonfatal myocardial infarction. PFAS mixture exposure increased the occurrence of MACE and nonfatal myocardial infarction. The AOP framework shows that PFAS may impact protein binding, the cytoskeleton, multicellular biological processes, and heart function. In summary, our study revealed the adverse effects of PFAS on the degree of coronary stenosis and prognosis in ACS and identified potentially relevant molecular loci.
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Affiliation(s)
- Haoran Li
- Department
of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
- Department
of Pharmacy, The Second Hospital of Hebei
Medical University, Shijiazhuang 050000, China
| | - Ming Yang
- Department
of Epidemiology and Biostatistics, Institute of Basic Medical Sciences
Chinese Academy of Medical Sciences, School
of Basic Medicine Peking Union Medical College, Beijing 100005, China
- Center
of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jiaxin Zhao
- Department
of Epidemiology and Biostatistics, Institute of Basic Medical Sciences
Chinese Academy of Medical Sciences, School
of Basic Medicine Peking Union Medical College, Beijing 100005, China
- Center
of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Zhenzhen Tan
- Department
of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Longfei Li
- Department
of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Ziwen An
- Department
of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Yi Liu
- Department
of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Xuehui Liu
- Hebei
Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, China
| | - Xiaoguang Zhang
- Core
Facilities
and Centers of Hebei Medical University, Shijiazhuang 050017, China
| | - Jingchao Lu
- Department
of Cardiology, The Second Hospital of Hebei
Medical University, Shijiazhuang 050000, China
| | - Ang Li
- Department
of Epidemiology and Biostatistics, Institute of Basic Medical Sciences
Chinese Academy of Medical Sciences, School
of Basic Medicine Peking Union Medical College, Beijing 100005, China
- Center
of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Huicai Guo
- Department
of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China
- Hebei
Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, China
- The
Key Laboratory
of Neural and Vascular Biology, Ministry
of Education, Shijiazhuang 050017, China
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4
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Li M, Gende M, Tovar A, Schmeling M, Tidow-Kebritchi S, Gaynes BI. Assessing Chronic Heavy Metal Exposure by Analysis of Human Cataract Specimens and the Relationship to Metabolic Profiles. Curr Eye Res 2025; 50:264-275. [PMID: 39651585 DOI: 10.1080/02713683.2024.2421932] [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: 03/26/2024] [Revised: 08/15/2024] [Accepted: 10/22/2024] [Indexed: 12/11/2024]
Abstract
PURPOSE With age, the mammalian lens forms successive layers of crystallin protein fibers which infoliate with lens growth and development. As heavy metals generally bind to tissue protein, heavy metals are posited to sequester within the lens with age. Therefore, this study aims to compare heavy metals in human crystalline lens of older adults to known physiologic blood and urine levels and assess the association between concentrations in the lens and metabolic biomarkers. METHODS Consecutive lens specimens obtained during cataract surgery by phacoemulsification were subjected to atomic spectrometry for heavy metal content. A one-sample t-test compared heavy metals in lens to known physiologic blood and urine concentrations. Linear regression models assessed the association between heavy metals and biomarkers of metabolic function. Linear discriminant analysis assessed the classification of gender and smoking status based on multiple and individual heavy metals. RESULTS All heavy metal levels were elevated in lens specimens compared to blood and urine with the exception of iron (p < 0.0001). Lens titanium and copper were positively associated with blood-urea nitrogen (Titanium: β ̂ = 1.14, p = 0.04, Copper: β ̂ = 1.12, p = 0.03. Lens copper was positively associated with creatinine (β ̂ = 1.10; p = 0.02), but negatively associated with glomerular filtration rate (β ̂ = 0.89; p = 0.02). Lens chromium and lead were positively associated with albumin (Chromium: β ̂ = 1.03, p = 0.03; Lead: β ̂ = 1.02, p = 0.04). Lens nickel was positively associated with bilirubin (β ̂ = 1.14; p = 0.03). Classification based on multiple or individual heavy metals for gender and smoking status was not statistically significant. CONCLUSIONS Our results suggest the human crystalline lens accumulates heavy metals with age and demonstrate the correlation between abnormality of metabolic function and heavy metal deposition in older adult lens.
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Affiliation(s)
- Matthew Li
- Department of Ophthalmology, Loyola University Medical Center, Maywood, IL, USA
| | - Michelle Gende
- Department of Chemistry and Biochemistry, Loyola University Chicago, Chicago, IL, USA
| | - Alyssa Tovar
- Department of Chemistry and Biochemistry, Loyola University Chicago, Chicago, IL, USA
| | - Martina Schmeling
- Department of Chemistry and Biochemistry, Loyola University Chicago, Chicago, IL, USA
| | | | - Bruce I Gaynes
- Department of Ophthalmology, Loyola University Medical Center, Maywood, IL, USA
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Long C, Wang X, Wang D, Chen Y, Zhang B. Deciphering the impact of heavy metal mixed exposure on lipid metabolism using three statistical models. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 47:20. [PMID: 39692884 DOI: 10.1007/s10653-024-02328-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 12/04/2024] [Indexed: 12/19/2024]
Abstract
Lipid metabolism disorders pose a significant threat to human health. However, the relationship between heavy metal mixed exposure and lipid metabolism remains poorly understood. This study recruited 1717 residents living near a chromium factory in northeast China. The concentrations of blood Cr, Mn, Cd, Pb, V, and serum CHOL, TG, LDL and HDL levels were measured. Generalized linear model (GLM), quantile g-computation (Qg-comp), and Bayesian kernel machine regression (BKMR) were simultaneously employed to investigate the associations between heavy metal mixed exposure and lipid markers levels. GLM analysis revealed significant associations between blood Cr concentration and HDL (β = -0.07; 95%CI: -0.09, -0.05), LDL (β = -0.06; 95%CI: -0.11, -0.02), and CHOL (β = 0.07; 95%CI: 0.01, 0.12) levels. V concentration was positively associated with HDL (β = 0.12; 95%CI: 0.06, 0.18) and LDL (β = 0.17; 95%CI: 0.04, 0.30) levels. Qg-comp analysis indicated a negative association between heavy metal mixed exposure and HDL (β = -0.040; 95%CI: -0.073, -0.006) level. BKMR model further confirmed the negative relationship between heavy metal mixed exposure and HDL, with the interaction between blood Cr (> 1.05 μg/L) and blood V (> 5.16 μg/L) contributing to decreased HDL levels. Our findings suggested that heavy metal mixed exposure had impacts on HDL and CHOL levels, and the Cr and V may mutually play a predominant role in the observed abnormal HDL levels.
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Affiliation(s)
- Changmao Long
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, 330031, China
| | - Xiangjun Wang
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, 330031, China
| | - Dongsheng Wang
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, 330031, China
| | - Yuqing Chen
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, 330031, China
| | - Baojun Zhang
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, 330031, China.
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6
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Subramaniam NK, Mann KK. Mechanisms of Metal-Induced Hepatic Inflammation. Curr Environ Health Rep 2024; 11:547-556. [PMID: 39499483 DOI: 10.1007/s40572-024-00463-6] [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] [Accepted: 09/16/2024] [Indexed: 11/07/2024]
Abstract
PURPOSE OF REVIEW Worldwide, there is an increasing prevalence of hepatic diseases. The most common diseases include alcoholic-associated liver disease (ALD), metabolic dysfunction-associated fatty liver disease/ metabolic dysfunction-associated steatohepatitis (MAFLD/MASH) and viral hepatitis. While there are many important mediators of these diseases, there is increasing recognition of the importance of the inflammatory immune response in hepatic disease pathogenesis. RECENT FINDINGS Hepatic inflammation triggers the onset and progression of liver diseases. Chronic and sustained inflammation can lead to fibrosis, then cirrhosis and eventually end-stage cancer, hepatocellular carcinoma. Importantly, growing evidence suggest that metal exposure plays a role in hepatic disease pathogenesis. While in recent years, studies have linked metal exposure and hepatic steatosis, studies emphasizing metal-induced hepatic inflammation are limited. Hepatic inflammation is an important hallmark of fatty liver disease. This review aims to summarize the mechanisms of arsenic (As), cadmium (Cd) and chromium (Cr)-induced hepatic inflammation as they contribute to hepatic toxicity and to identify data gaps for future investigation.
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Affiliation(s)
| | - Koren K Mann
- Division of Experimental Medicine, McGill University, Montréal, Québec, Canada.
- Department of Pharmacology and Therapeutics, McGill University, Montréal, Québec, Canada.
- Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste Catherine Rd. Rm 202.1, Montréal, Québec, H3T 1E2, Canada.
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Lee DW, Oh J, Lee YM, Bae HJ, Lim YH. Association between heavy metal exposure and biomarkers for non-alcoholic fatty liver disease in Korean adolescents. Heliyon 2024; 10:e37840. [PMID: 39386834 PMCID: PMC11462472 DOI: 10.1016/j.heliyon.2024.e37840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 09/07/2024] [Accepted: 09/11/2024] [Indexed: 10/12/2024] Open
Abstract
Objectives The global prevalence of non-alcoholic fatty liver disease (NAFLD) in adolescents has increased. In addition to childhood obesity, environmental risk factors, such as heavy metals that are known to be involved in hepatotoxicity, play role in NAFLD occurrence. However, their association with NAFLD remains unclear. This study aimed to investigate the association between heavy metal exposure and NAFLD biomarkers in adolescents. Methods In this cross-sectional study, we used the data of a total of 1505 adolescents aged 12-17 years who participated in the Korean National Environmental Health Survey III (2015-2017) and IV (2018-2020). The presence of blood lead (BPb), blood mercury (BHg), urinary mercury (UHg), and urinary cadmium (UCd) were measured. Liver enzymes including serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gamma-glutamyl transferase (GGT) were evaluated. For NAFLD biomarkers, the hepatic steatosis index (HSI) was calculated. Multivariate linear regression models, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) model were used to investigate the association between heavy metals and NAFLD biomarkers. Results Among heavy metals, mercury presence showed a significant association with NAFLD biomarkers. Two-fold increases in BHg and UHg were associated with 0.21 points (95 % confidence interval [CI]: 0.08-0.35) and 0.19 points (95 % CI: 0.09-0.30) higher HSI, respectively. In the WQS model, heavy metal mixture was significantly associated with increased HSI (β = 0.06, 95 % CI: 0.01-0.11). Similarly, in the BKMR model, heavy metal mixture was positively associated with NAFLD biomarkers, and BHg was the most important contributor in the association. Conclusions BHg and UHg were significantly associated with NAFLD biomarkers in adolescents, indicating that organic and inorganic mercury exposure could potentially be a risk factor for NAFLD. To mitigate and address the risk of NAFLD associated with heavy metal exposure, it is imperative to take measure to reduce avoidable mercury exposure is necessary.
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Affiliation(s)
- Dong-Wook Lee
- Department of Occupational and Environmental Medicine, Inha University Hospital, Inha University, Incheon, Republic of Korea
| | - Jongmin Oh
- Institute of Ewha-SCL for Environmental Health (IESEH), Ewha Womans University College of Medicine, Seoul, Republic of Korea
| | - Yu Min Lee
- Department of Occupational and Environmental Medicine, Severance Hospital, College of Medicine, Yonsei University, Seoul, Republic of Korea
| | - Hyun-Joo Bae
- Korea Environment Institute, Sejong, Republic of Korea
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Su Z, Zhang Y, Hong S, Zhang Q, Xu J, Hu G, Zhu X, Yuan F, Yu S, Wang T, Jia G. Relationships between blood chromium exposure and liver injury: Exploring the mediating role of systemic inflammation in a chromate-exposed population. J Environ Sci (China) 2024; 143:224-234. [PMID: 38644019 DOI: 10.1016/j.jes.2023.08.014] [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: 04/10/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 04/23/2024]
Abstract
Hexavalent chromium and its compounds are prevalent pollutants, especially in the work environment, pose a significant risk for multisystem toxicity and cancers. While it is known that chromium accumulation in the liver can cause damage, the dose-response relationship between blood chromium (Cr) and liver injury, as well as the possible potential toxic mechanisms involved, remains poorly understood. To address this, we conducted a follow-up study of 590 visits from 305 participants to investigate the associations of blood Cr with biomarkers for liver injury, including serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and direct bilirubin (DBIL), and to evaluate the mediating effects of systemic inflammation. Platelet (PLT) and the platelet-to-lymphocyte ratio (PLR) were utilized as biomarkers of systemic inflammation. In the linear mixed-effects analyses, each 1-unit increase in blood Cr level was associated with estimated effect percentage increases of 0.82% (0.11%, 1.53%) in TBIL, 1.67% (0.06%, 3.28%) in DBIL, 0.73% (0.04%, 1.43%) in ALT and 2.08% (0.29%, 3.87%) in AST, respectively. Furthermore, PLT mediated 10.04%, 11.35%, and 10.77% increases in TBIL, DBIL, and ALT levels induced by chromate, respectively. In addition, PLR mediated 8.26% and 15.58% of the association between blood Cr and TBIL or ALT. These findings shed light on the mechanisms underlying blood Cr-induced liver injury, which is partly due to worsening systemic inflammation.
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Affiliation(s)
- Zekang Su
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Yali Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Shiyi Hong
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Qiaojian Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Jiayu Xu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Guiping Hu
- School of Engineering Medicine and Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
| | - Xiaojun Zhu
- National Center for Occupational Safety and Health, Beijing 102308, China
| | - Fang Yuan
- Department of Occupational Health and Radiological Health, Chongqing Centers for Disease Control and Prevention, Chongqing 400042, China
| | - Shanfa Yu
- Henan Institute for Occupational Medicine, Zhengzhou 450052, China
| | - Tianchen Wang
- Department of Clinical Laboratory, Third Hospital of Peking University, Beijing 100191, China
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
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Chávez-López LM, Carballo-López GI, Lugo-Ibarra KDC, Castro-Ceseña AB. A comprehensive framework for managing metabolic dysfunction-associated steatotic liver disease: analyzing novel risk factors and advances in nanotechnology-based treatments and diagnosis. RSC Med Chem 2024; 15:2622-2642. [PMID: 39149095 PMCID: PMC11324041 DOI: 10.1039/d4md00420e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Accepted: 06/11/2024] [Indexed: 08/17/2024] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing global health challenge requiring innovative approaches for effective management. This comprehensive review examines novel risk factors, including environmental pollutants like heavy metals, and underscores the complexity of personalized medicine tailored to individual patient profiles, influenced by gender and sex differences. Traditional treatments for MASLD, such as glucose- and lipid-lowering agents, show mixed results, highlighting the necessity for larger, long-term studies to establish safety and efficacy. Alternative therapies, including antioxidants, stem cells, and antiplatelets, although promising, demand extensive clinical trials for validation. This review highlights the importance of personalized medicine, considering individual variations and specific factors such as gender and sex, to optimize treatment responses. The shift from metabolic-associated fatty liver disease (MAFLD) to MASLD terminology underscores the metabolic components of the disease, aligning with the multiple-hit theory and highlighting the necessity for comprehensive risk factor management. Our vision advocates for an integrated approach to MASLD, encompassing extensive risk factor analysis and the development of safer, more effective treatments. Primary prevention and awareness initiatives are crucial in addressing the rising prevalence of MASLD. Future research must prioritize larger, long-term studies and personalized medicine principles to ensure the effective use of emerging therapies and technologies. The review underscores the need for continuous exploration and innovation, balancing the benefits and challenges of nanotechnology, to combat MASLD and improve patient outcomes comprehensively.
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Affiliation(s)
- Lucia M Chávez-López
- Facultad de Medicina, Centro de Estudios Universitarios Xochicalco Campus Ensenada San Francisco 1139, Fraccionamiento Misión C.P. 22830 Ensenada Baja California Mexico
- Departamento de Innovación Biomédica, Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE) Carretera Ensenada-Tijuana No. 3918, Zona Playitas C.P. 22860 Ensenada Baja California Mexico
| | - Gabriela I Carballo-López
- Departamento de Innovación Biomédica, Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE) Carretera Ensenada-Tijuana No. 3918, Zona Playitas C.P. 22860 Ensenada Baja California Mexico
| | | | - Ana B Castro-Ceseña
- Departamento de Innovación Biomédica, Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE) Carretera Ensenada-Tijuana No. 3918, Zona Playitas C.P. 22860 Ensenada Baja California Mexico
- CONAHCYT - Departamento de Innovación Biomédica, Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE) Carretera Ensenada-Tijuana No. 3918, Zona Playitas C.P. 22860 Ensenada Baja California Mexico
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10
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Zhao S, Yin G, Zhao M, Wu J, Liu X, Wei L, Xu Q, Xu J. Inflammation as a pathway for heavy metal-induced liver damage-Insights from a repeated-measures study in residents exposed to metals and bioinformatics analysis. Int J Hyg Environ Health 2024; 261:114417. [PMID: 38968837 DOI: 10.1016/j.ijheh.2024.114417] [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: 04/02/2024] [Revised: 06/08/2024] [Accepted: 06/27/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND Epidemiological studies on heavy metal exposure and liver injury are predominantly cross-sectional, lacking longitudinal data and exploration of potential mechanisms. METHOD We conducted a repeated-measures study in Northeast China from 2016 to 2019, involving 322 participants. Linear mixed models (LMM) and Bayesian kernel machine regression (BKMR) were employed to explore the associations between individual and mixed blood metal concentrations [chromium (Cr), cadmium (Cd), vanadium (V), manganese (Mn), lead (Pb)] and liver function biomarkers [alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin (ALB), globulin (GLB), total protein (TP)]. Mediation and enrichment analyses were used to determine whether the inflammatory response is a critical pathway for heavy metal-induced liver damage. RESULT We obtained a total of 958 observations. The results from LMM and BKMR indicated significant associations between individual and mixed heavy metals and liver function biomarkers. Longitudinal analysis revealed associations between Cd and the annual increase rate of ALT (β = 2.61; 95% CI: 0.97, 4.26), the annual decrease rate of ALB (β = -0.21; 95% CI: -0.39, -0.03), Mn and the annual increase rate of GLB (β = 0.38; 95% CI: 0.05, 0.72), and V and the annual decrease rate of ALB/GLB (β = -1.15; 95% CI: -2.00, -0.31). Mediation analysis showed that high-sensitivity C-reactive protein (hsCRP) mediated the associations between Cd and AST, TP, with mediation effects of 27.7% and 13.4%, respectively. Additionally, results from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses supported the role of inflammatory response pathways. CONCLUSION Our findings indicate that heavy metal exposure leads to liver damage, with the inflammatory response potentially serving as a crucial pathway in this process. This study offers a novel perspective on understanding heavy metal-induced liver injury and provides insights for preventive measures against the health damage caused by heavy metals.
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Affiliation(s)
- Shuanzheng Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Guohuan Yin
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou, 121001, Liaoning, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Han X, Lv Z, He M, Cheng J, Zhang Y, Wang T, Chen J, Liu Y, Hu D, Wu X, Zhai R, Huang H, Huang S. Effects of multiple metals exposure on abnormal liver function: The mediating role of low-density lipoprotein cholesterol. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 276:116283. [PMID: 38574647 DOI: 10.1016/j.ecoenv.2024.116283] [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: 11/12/2023] [Revised: 03/09/2024] [Accepted: 03/30/2024] [Indexed: 04/06/2024]
Abstract
Equilibration of metal metabolism is critical for normal liver function. Most epidemiological studies have only concentrated on the influence of limited metals. However, the single and synergistic impact of multiple-metal exposures on abnormal liver function (ALF) are still unknown. A cross-sectional study involving 1493 Chinese adults residing in Shenzhen was conducted. Plasma concentrations of 13 metals, including essential metals (calcium, copper, cobalt, iron, magnesium, manganese, molybdenum, zinc, and selenium) and toxic metals (aluminum, cadmium, arsenic, and thallium) were detected by the inductively coupled plasma spectrometry (ICP-MS). ALF was ascertained as any observed abnormality from albumin, alanine transaminase, aspartate transaminase, γ-glutamyl transpeptidase, and direct bilirubin. Diverse statistical methods were used to evaluate the single and mixture effect of metals, as well as the dose-response relationships with ALF risk, respectively. Mediation analysis was conducted to evaluate the role of blood lipids in the relation of metal exposure with ALF. The average age of subjects was 59.7 years, and 56.7 % were females. Logistic regression and the least absolute shrinkage and selection operator (LASSO) penalized regression model consistently suggested that increased levels of arsenic, aluminum, manganese, and cadmium were related to elevated risk of ALF; while magnesium and zinc showed protective effects on ALF (all p-trend < 0.05). The grouped weighted quantile sum (GWQS) regression revealed that the WQS index of essential metals and toxic metals showed significantly negative or positive relationship with ALF, respectively. Aluminum, arsenic, cadmium, and manganese showed linear whilst magnesium and zinc showed non-linear dose-response relationships with ALF risk. Mediation analysis showed that LDL-c mediated 4.41 % and 14.74 % of the relationship of plasma cadmium and manganese with ALF, respectively. In summary, plasma aluminum, arsenic, manganese, cadmium, magnesium, and zinc related with ALF, and LDL-c might underlie the pathogenesis of ALF associated with cadmium and manganese exposure. This study may provide critical public health significances in liver injury prevention and scientific evidence for the establishment of environmental standard.
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Affiliation(s)
- Xu Han
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China; Department of Occupational and Environmental Health and Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Ziquan Lv
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Mei'an He
- Department of Occupational and Environmental Health and Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Yanwei Zhang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Tian Wang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Jiaxin Chen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Dongsheng Hu
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Xuli Wu
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Rihong Zhai
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Hui Huang
- Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Shenzhen 518303, China
| | - Suli Huang
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China; Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China.
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Sazakli E. Human Health Effects of Oral Exposure to Chromium: A Systematic Review of the Epidemiological Evidence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:406. [PMID: 38673319 PMCID: PMC11050383 DOI: 10.3390/ijerph21040406] [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: 12/05/2023] [Revised: 03/10/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
The toxicity and carcinogenicity of hexavalent chromium via the inhalation route is well established. However, a scientific debate has arisen about the potential effects of oral exposure to chromium on human health. Epidemiological studies evaluating the connection between ingested chromium and adverse health effects on the general population are limited. In recent years, a wealth of biomonitoring studies has emerged evaluating the associations between chromium levels in body fluids and tissues and health outcomes. This systematic review brings together epidemiological and biomonitoring evidence published over the past decade on the health effects of the general population related to oral exposure to chromium. In total, 65 studies were reviewed. There appears to be an inverse association between prenatal chromium exposure and normal fetal development. In adults, parameters of oxidative stress and biochemical alterations increase in response to chromium exposure, while effects on normal renal function are conflicting. Risks of urothelial carcinomas cannot be overlooked. However, findings regarding internal chromium concentrations and abnormalities in various tissues and systems are, in most cases, controversial. Environmental monitoring together with large cohort studies and biomonitoring with multiple biomarkers could fill the scientific gap.
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Affiliation(s)
- Eleni Sazakli
- Lab of Public Health, Medical School, University of Patras, GR 26504 Patras, Greece
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Yin G, Zhao S, Zhao M, Xu J, Ge X, Wu J, Zhou Y, Liu X, Wei L, Xu Q. Joint and interactive effects of metal mixtures on liver damage: Epidemiological evidence from repeated-measures study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 274:116178. [PMID: 38461577 DOI: 10.1016/j.ecoenv.2024.116178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/01/2024] [Accepted: 03/03/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND The impact of heavy metals on liver function has been examined in numerous epidemiological studies. However, these findings lack consistency and longitudinal validation. METHODS In this study, we conducted three follow-up surveys with 426 participants from Northeast China. Blood and urine samples were collected, along with questionnaire information. Urine samples were analyzed for concentrations of four metals (chromium [Cr], cadmium [Cd], lead [Pb], and manganese [Mn]), while blood samples were used to measure five liver function indicators (alanine aminotransferase [ALT], aspartate aminotransferase [AST], albumin [ALB], globulin [GLB], and total protein [TP]). We utilized a linear mixed-effects model (LME) to explore the association between individual heavy metal exposure and liver function. Joint effects of metal mixtures were investigated using quantile g-computation and Bayesian kernel machine regression (BKMR). Furthermore, we employed BKMR and Marginal Effect models to examine the interaction effects between metals on liver function. RESULTS The LME results demonstrated a significant association between urinary heavy metals (Cr, Cd, Pb, and Mn) and liver function markers. BKMR results indicated positive associations between heavy metal mixtures and ALT, AST, and GLB, and negative associations with ALB and TP, which were consistent with the g-comp results. Synergistic effects were observed between Cd-Cr on ALT, Mn-Cr and Cr-Pb on ALB, while an antagonistic effect was found between Mn-Pb and Mn-Cd on ALB. Additionally, synergistic effects were observed between Mn-Cr on GLB and Cd-Cr on TP. Furthermore, a three-way antagonistic effect of Mn-Pb-Cr on ALB was identified. CONCLUSION Exposure to heavy metals (Cr, Cd, Mn, Pb) is associated with liver function markers, potentially leading to liver damage. Moreover, there are joint and interaction effects among these metals, which warrant further investigation at both the population and mechanistic levels.
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Affiliation(s)
- Guohuan Yin
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Shuanzheng Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yifan Zhou
- Civil Aviation Medicine Center, Civil Aviation Administration of China, Beijing 100123, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou, Liaoning 121001, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou, Liaoning 121001, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
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Zhang Y, Cai J, Yao Z, Zhang H, Wang Z, Lei J, Guo H. The relationship between plasma nickel concentrations and type 2 diabetes mellitus risk: A protective effect within a specific range. J Trace Elem Med Biol 2024; 82:127362. [PMID: 38101165 DOI: 10.1016/j.jtemb.2023.127362] [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: 09/21/2023] [Revised: 11/17/2023] [Accepted: 12/09/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Nickel is considered an essential nutrient for certain microbial, plant, and animal species, but its role in human health remains controversial. Some studies have reported the relationship between nickel and type 2 diabetes mellitus (T2DM), but the results are not consistent and the mechanism is not clear, which needs further exploration. AIM To investigate the possible correlation between nickel and T2DM. METHODS We conducted a case-control study of 192 patients with T2DM and 189 healthy controls at a hospital in central China. Plasma concentrations of nickel and six other trace elements were measured with inductively coupled plasma mass spectrometry. Logistic regression models, restricted cubic spline models (RCS), and Bayesian kernel machine regression (BKMR) were used to evaluate the relationship between plasma nickel and T2DM and its metabolic risk factors, as well as the presence or absence of interactions between nickel and other elements. RESULTS The T2DM group exhibited considerably lower plasma nickel levels than the control group (P < 0.001). Whether using a crude or adjusted model, logistic regression analysis finds a negative correlation between nickel levels and the risk of T2DM (P trend < 0.001). According to the RCS, the risk of T2DM reduces with rising nickel levels when the value is below 6.1 μg/L; nickel has a negative linear correlation with fasting plasma glucose (FPG), an inverse U-shaped connection with superoxide dismutase (SOD), and a positive linear correlation with malondialdehyde (MDA) (all P overall < 0.05). The plasma nickel concentration was positively correlated with zinc, vanadium, and chromium (r = 0.23, 0.11, and 0.19, respectively; all P < 0.05) and negatively correlated with copper (r = - 0.11, P < 0.05). In the BKMR model, interactions of nickel with zinc on T2DM and SOD, nickel with chromium on T2DM and homeostasis model assessment of β cell (HOMA-β), and nickel with copper on FPG, homeostasis model assessment of insulin (HOMA-IR), and MDA were observed. CONCLUSION Nickel may have a dual effect on the risk of T2DM, with a protective range of less than 6.1 μg/L. Potential interactions between nickel, copper, zinc, and chromium existed in their associations with T2DM and its metabolic risk factors.
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Affiliation(s)
- Yong Zhang
- School of Public Health, Hubei University of Medicine, Shiyan 442000, China
| | - Junwei Cai
- Department of Endocrinology, Taihe Hospital, Shiyan 442000, China
| | - Zijun Yao
- School of Public Health, Hubei University of Medicine, Shiyan 442000, China
| | - Han Zhang
- School of Public Health, Hubei University of Medicine, Shiyan 442000, China
| | - Zhen Wang
- School of Public Health, Hubei University of Medicine, Shiyan 442000, China
| | - Jinlin Lei
- School of Public Health, Hubei University of Medicine, Shiyan 442000, China
| | - Huailan Guo
- School of Public Health, Hubei University of Medicine, Shiyan 442000, China; Research Center of Environment and Health of South-to-North Water Diversion Area, Hubei University of Medicine, Shiyan 442000, China.
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Nan Y, Yang J, Yang J, Wei L, Bai Y. Associations Between Individual and Combined Metal Exposures in Whole Blood and Kidney Function in U.S. Adults Aged 40 Years and Older. Biol Trace Elem Res 2024; 202:850-865. [PMID: 37291467 DOI: 10.1007/s12011-023-03722-z] [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: 02/12/2023] [Accepted: 05/29/2023] [Indexed: 06/10/2023]
Abstract
The effects of metal exposure on kidney function have been reported in previous literature. There is limited and inconsistent information on the associations between individual and combined exposures to metals and kidney function among the middle-aged and older population. The aim of this study was to clarify the associations of exposure to individual metals with kidney function while accounting for potential coexposure to metal mixtures and to evaluate the joint and interactive associations of blood metals with kidney function. A total of 1669 adults aged 40 years and older were enrolled in the present cross-sectional study using the 2015-2016 National Health and Nutrition Examination Survey (NHANES). Single-metal and multimetal multivariable logistic regression models, quantile G-computation, and Bayesian kernel machine regression models (BKMR) were fitted to explore the individual and joint associations of whole blood metals [lead (Pb), cadmium (Cd), mercury (Hg), cobalt (Co), manganese (Mn), and selenium (Se)] with the odds of decreased estimated glomerular filtration rate (eGFR) and albuminuria. A decreased eGFR was defined as an eGFR ≤ 60 mL/min per 1.73 m2, and albuminuria was categorized as a urinary albumin-creatinine ratio (UACR) of ≥ 30.0 mg/g. The results from quantile G-computation and BKMR indicated positive associations between exposure to the metal mixture and the prevalence of decreased eGFR and albuminuria (all P values < 0.05). These positive associations were mainly driven by blood Co, Cd, and Pb. Furthermore, blood Mn was identified as an influential element contributing to an inverse correlation with kidney dysfunction within metal mixtures. Increasing blood Se levels were negatively associated with the prevalence of decreased eGFR and positively associated with albuminuria. In addition, a potential pairwise interaction between Mn-Co on decreased eGFR was identified by BKMR analysis. Findings from our study suggested a positive association between exposure to the whole blood metal mixture and decreased kidney function, with blood Co, Pb, and Cd being the main contributors to this association, while Mn demonstrated an inverse relationship with renal dysfunction. However, as our study was cross-sectional in nature, further prospective studies are warranted to better understand the individual and combined effects of metals on kidney function.
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Affiliation(s)
- Yaxing Nan
- Gansu University of Chinese Medicine, Lanzhou, 730000, China
- College of Earth and Environmental Sciences, Lanzhou University, Dong Gang Xi Road 199, Lanzhou, Gansu, 730000, China
| | - Jingli Yang
- College of Earth and Environmental Sciences, Lanzhou University, Dong Gang Xi Road 199, Lanzhou, Gansu, 730000, China
| | - Jinyu Yang
- Gansu University of Chinese Medicine, Lanzhou, 730000, China
| | - Lili Wei
- Gansu University of Chinese Medicine, Lanzhou, 730000, China
| | - Yana Bai
- College of Earth and Environmental Sciences, Lanzhou University, Dong Gang Xi Road 199, Lanzhou, Gansu, 730000, China.
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, 730000, Lanzhou, China.
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Yin F, Zhang Y, Zhang X, Zhang M, Zhang Z, Yin Y, Xu H, Yang Y, Gao Y. The ROS/NF-κB/HK2 axis is involved in the arsenic-induced Warburg effect in human L-02 hepatocytes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:150-165. [PMID: 36264688 DOI: 10.1080/09603123.2022.2134559] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Arsenic has been identified as a carcinogen, although the molecular mechanism underlying itscarcinogenesis has not been fully elucidated. To date, only a few studies have attempted to confirm a direct link between oxidative stress and the Warburg effect . This study demonstrated that 0.2 μmol/L As3+ induced the Warburg effect to contribute to abnormal proliferation of L-02 cells, that was mediated by upregulation of hexokinase 2 (HK2), a key enzyme in glycolysis. Further study indicated that arsenic-induced accumulation of reactive oxygen species (ROS) activated the nuclear factor kappa B (NF-κB) signaling pathway by phosphorylation of p65 at the Ser536 and Ser276 sites, leading to upregulated expression of HK2. We therefore concluded that the ROS/NF-κB/HK2 axis contributes to the Warburg effect and cell proliferation induced by low doses of arsenic.AbbreviationsROS, Reactive oxygen species; NAC, N-acetyl-L-cysteine; 2-DG, 2-deoxy-D-glucose; 2-NBDG, 2-Deoxy-2-[(7-nitro-2,1,3-benzoxadiazol-4-yl)amino]-D-glucose.
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Affiliation(s)
- Fanshuo Yin
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
- Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health of P. R. China, Harbin Medical University, Harbin, Heilongjiang, China
| | - Ying Zhang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
- Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health of P. R. China, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xin Zhang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
- Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health of P. R. China, Harbin Medical University, Harbin, Heilongjiang, China
| | - Meichen Zhang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
- Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health of P. R. China, Harbin Medical University, Harbin, Heilongjiang, China
| | - Zaihong Zhang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
- Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health of P. R. China, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yunyi Yin
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
- Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health of P. R. China, Harbin Medical University, Harbin, Heilongjiang, China
| | - Haili Xu
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
- Key Lab of Etiology and Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health of P. R. China, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yanmei Yang
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yanhui Gao
- Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang, China
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Cheng P, Tao Y, Hu J, Wang H, Zhao R, Mei S, Yang Y, Ye F, Chen Z, Ding H, Xing M, Xu P, Wu L, Li X, Zhang X, Ji Z, Xiang J, Xu D, Chen Y, Wang X, Lou X. Relationship of individual and mixed urinary metals exposure with liver function in the China National Human Biomonitoring (CNHBM) of Zhejiang Province. CHEMOSPHERE 2023; 342:140050. [PMID: 37660798 DOI: 10.1016/j.chemosphere.2023.140050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Heavy metals have been reported to affect liver function. However, there is currently little and inconsistent knowledge about the effects of combined and individual urinary metals on specific parameters of liver function in the general population. Therefore, this study aimed to investigate their associations. METHODS This study involved 807 general population from the China National Human Biomonitoring of Zhejiang Province 2017-2018. Concentrations of urinary metals, including Chromium (Cr), Cobalt (Co), Nickle (Ni), Arsenic (As), Selenium (Se), Molybdenum (Mo), Cadmium (Cd), Thallium (Tl) and Lead (Pb) were measured. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), total protein (TP), albumin (ALB), direct bilirubin (DBIL), total bilirubin (TBIL) as liver function biomarkers. Multivariable linear regression and weighted quantile sum (WQS) regression were employed to explore the associations of urinary metals with liver function biomarkers. Subgroup analysis stratified by gender and age, excluding smokers and drinkers for sensitivity analysis. RESULTS Both statistical models indicated that urinary metals were positively associated with ALT and AST, while negatively with TP, ALB, DBIL and TBIL. In the WQS analysis, each quartile increase in the ln-transformed levels of metal mixtures was associated with 4.11 IU/L (95% CI: 1.07, 7.15) higher ALT and 3.00 IU/L (95% CI: 1.75, 4.25) higher AST, as well as, with 0.67 g/L (95% CI: 1.24, -0.11) lower TP, 0.74 g/L (95% CI: 1.09, -0.39) lower ALB, 0.38 μmol/L (95% CI: 0.67, -0.09) lower DBIL, and 1.56 μmol/L (95% CI: 2.22, -0.90) lower TBIL. The association between urinary metals and ALT was primarily driven by Cd (55.8%), Cr contributed the most to the association with AST (20.2%) and TBIL (45.2%), while the association with TP was primarily driven by Ni (38.2%), the association with ALB was primarily driven by As (32.8%), and the association with DBIL was primarily driven by Pb (30.9%). The associations between urinary metals and liver function might differ by sex and age. CONCLUSION Urinary metals were significantly associated with liver function parameters. Further studies are required to clarify the relationship between heavy metals and liver function.
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Affiliation(s)
- Ping Cheng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China.
| | - Yi Tao
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006, China
| | - Jinfeng Hu
- Shangcheng District Center for Disease Control and Prevention, Hangzhou, 310009, China
| | - Hongxin Wang
- Wucheng District Center for Disease Control and Prevention, Jinhua, 321025, China
| | - Ruifang Zhao
- Qujiang District Center for Disease Control and Prevention, Quzhou, 324022, China
| | - Shenghua Mei
- Longquan County Center for Disease Control and Prevention, Lishui, 323799, China
| | - Yin Yang
- Jinyun County Center for Disease Control and Prevention, Lishui, 321499, China
| | - Fugen Ye
- Songyang County Center for Disease Control and Prevention, Lishui, 323499, China
| | - Zhijian Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Hao Ding
- Environmental Science Research & Design Institute of Zhejiang Province, Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, 310007, China
| | - Mingluan Xing
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Peiwei Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Lizhi Wu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Xueqing Li
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Xuwenqi Zhang
- Environmental Science Research & Design Institute of Zhejiang Province, Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, 310007, China
| | - Zhengquan Ji
- Environmental Science Research & Design Institute of Zhejiang Province, Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, 310007, China
| | - Jie Xiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Dandan Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Yuan Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Xiaofeng Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China.
| | - Xiaoming Lou
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, China.
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Zha B, Xu H, Liu Y, Zha X. Association between mixed urinary metal exposure and liver function: analysis of NHANES data. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:112564-112574. [PMID: 37833592 DOI: 10.1007/s11356-023-30242-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 09/29/2023] [Indexed: 10/15/2023]
Abstract
Metals have been reported to affect liver functions; however, the association between mixed metal exposure in the urine and liver functions remains unclear. The present study analyzed data from the National Health and Nutrition Examination Survey (NHANES) program collected in 2005-2018. Weighted multiple linear regression and Bayesian kernel machine regression (BKMR) were used to explore the relationship between mixed urinary metal contents and liver function tests (LFTs). A total of 8158 participants were analyzed in this study. Multiple methods suggested that cadmium (Cd) was significantly positively related to LFTs, while cobalt (Co) was negatively related to LFTs. Meanwhile, some other metals showed a significant relationship with some indicators of LFTs. Urine metal is related to LFTs, with Cd and Co content changes being closely related to LFTs. The metal in urine may represent a marker for predicting liver dysfunction. Further studies are needed to verify this hypothesis.
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Affiliation(s)
- Bowen Zha
- Department of Education, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100069, People's Republic of China
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Huanchang Xu
- Department of Education, Beijing Luhe Hospital, Capital Medical University, 101149, Beijing, People's Republic of China
| | - Yuqi Liu
- Department of Education, Beijing Luhe Hospital, Capital Medical University, 101149, Beijing, People's Republic of China
| | - Xiaqin Zha
- Department of Blood Purification, University Affiliated Second Hospital, 333000, Nanchang, People's Republic of China.
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Li A, Zhou Q, Mei Y, Zhao J, Zhao M, Xu J, Ge X, Li Y, Li K, Yang M, Xu Q. Thyroid disrupting effects of multiple metals exposure: Comprehensive investigation from the thyroid parenchyma to hormonal function in a prospective cohort study. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132115. [PMID: 37499494 DOI: 10.1016/j.jhazmat.2023.132115] [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: 04/29/2023] [Revised: 07/01/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023]
Abstract
This study aimed to investigate the thyroid disrupting effects of multiple metals exposure with comprehensive investigation from the thyroid parenchyma to hormonal function. In this prospective cohort study of in-service staff of the Baoding Power Supply, we found that arsenic was negatively associated with total thyroxine (TT4) [βAs = -0.075, 95% confidence interval (CI): -0.129, -0.020, Padj = 0.04]. Similarly, selenium was negatively correlated with TT4 (βSe = -0.134, 95% CI: -0.211, -0.058, Padj < 0.01) and peripheral deiodinase activity (GT) (βSe = -0.133, 95% CI: -0.210, -0.056, Padj = 0.01). With respect to strontium, there were positive associations of strontium with thyroid-stimulating hormone (βSr = 0.263, 95% CI: 0.112, 0.414, Padj = 0.01), and negative associations of strontium with TT4 (βSr = -0.099, 95% CI: -0.150, -0.048, Padj < 0.01) and GT (βSr = -0.102, 95% CI: -0.153, -0.050, Padj < 0.01). We also observed negative associations of metal mixtures with TT4 and GT and potential interactions. Increased risks of thyroid nodule associated with aluminum, cobalt and nickel were also observed. Our findings suggest that multiple metals exposure leads to a multi-pronged assault to thyroid from the thyroid parenchyma to hormonal function. Future large-scale prospective cohort studies of general population and experimental studies were warranted.
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Affiliation(s)
- Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
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20
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Yang M, Su W, Li H, Li L, An Z, Xiao F, Liu Y, Zhang X, Liu X, Guo H, Li A. Association of per- and polyfluoroalkyl substances with hepatic steatosis and metabolic dysfunction-associated fatty liver disease among patients with acute coronary syndrome. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115473. [PMID: 37722302 DOI: 10.1016/j.ecoenv.2023.115473] [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: 04/19/2023] [Revised: 09/02/2023] [Accepted: 09/11/2023] [Indexed: 09/20/2023]
Abstract
Etiology of hepatic steatosis and metabolic dysfunction-associated fatty liver disease (MAFLD) among acute coronary syndrome (ACS) remains unclear. Existing studies suggested the potential role of per- and polyfluoroalkyl substances (PFAS) in comorbidity of hepatic steatosis among ACS patients. Therefore, we conducted a cross-sectional study based on the ACS inpatients to assess the associations of plasma PFAS congeners and mixtures with hepatic steatosis and MAFLD. This study included 546 newly diagnosed ACS patients. Twelve PFAS were quantified using ultra-high-performance liquid chromatography-tandem mass spectrometry. Hepatic steatosis was defined by hepatic steatosis index (HSI). MAFLD was defined as the combination of hepatic steatosis based on the risk factor calculation with metabolic abnormalities. Generalized linear model was used to examine the associations of PFAS congeners with HSI and MAFLD. Adaptive elastic net (AENET) was further used for PFAS congeners selection. Mixture effects were also assessed with Bayesian kernel machine regression model (BKMR). Congeners analysis observed significant greater percent change of HSI for each doubling in PFOS (1.82%, 95% CI: 0.87%, 2.77%), PFHxS (1.17%, 95% CI: 0.46%, 1.89%) and total PFAS (1.84%, 95% CI: 0.56%, 3.14%). Moreover, each doubling in PFOS (OR=1.42, 95% CI: 1.13, 1.81), PFHxS (OR=1.31, 95% CI: 1.09, 1.59) and total PFAS (OR=1.43, 95% CI: 1.06, 1.94) was associated with increased risk of MAFLD. In AENET regression, only PFOS presented significant positive associations with HSI. Mixture analysis indicated significant positive associations between PFAS mixtures and HSI. This is the first study to demonstrate associations of PFAS congeners and mixtures with hepatic steatosis and MAFLD among ACS patients, which provides hypothesis into the mechanisms behind comorbidity of hepatic steatosis among ACS patients, as well as tertiary prevention of ACS.
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Affiliation(s)
- Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, PR China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, PR China
| | - Weitao Su
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, PR China
| | - Haoran Li
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, PR China; Department of Pharmacy, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, PR China
| | - Longfei Li
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, PR China
| | - Ziwen An
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, PR China
| | - Fang Xiao
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, PR China
| | - Yi Liu
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, PR China
| | - Xiaoguang Zhang
- Core Facilities and Centers of Hebei Medical University, Shijiazhuang 050017, PR China
| | - Xuehui Liu
- Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, PR China
| | - Huicai Guo
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang 050017, PR China.
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, PR China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, PR China.
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21
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Li H, Yang M, Yang J, Seery S, Ma C, Liu Y, Zhang X, Li A, Guo H. Per- and polyfluoroalkyl substances and the associated thyroid cancer risk: A case-control study in China. CHEMOSPHERE 2023; 337:139411. [PMID: 37419160 DOI: 10.1016/j.chemosphere.2023.139411] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 06/13/2023] [Accepted: 07/02/2023] [Indexed: 07/09/2023]
Abstract
The role of perfluoroalkyl and polyfluoroalkyl substances (PFAS) as thyroid carcinogens is unclear. Therefore, we intended to identify associations between each PFAS congener and their mixture with thyroid cancer risk. This case-control study of thyroid cancer was conducted in Shijiazhuang, Hebei Province, China. Three hundred participants were recruited from January to May 2022 and were matched according to sex and age. Twelve PFAS were assessed using ultra-high-performance liquid chromatography-tandem mass spectrometry. Associations between PFAS congeners and thyroid cancer risk were considered under conditional logistic regression analysis and a restricted cubic spline model. Mixture effects were also assessed with quantile g-computation and a Bayesian kernel machine regression model. Compared to the first tertile, third tertile PFOA, PFNA, PFHxS, PFDA, and PFUnDA concentrations were associated with lower thyroid cancer risk (ORPFOA: 0.32, 95% confidence interval (CI): 0.15-0.69; ORPFNA: 0.18, 95% CI: 0.07-0.46; ORPFHxS: 0.37, 95% CI: 0.15-0.92; ORPFDA: 0.07, 95% CI: 0.02-0.23; ORPFUnDA: 0.12, 95% CI: 0.05-0.30) after adjusting for confounding factors. PFNA, PFDA, and PFUnDA had a negative dose-response relationship with thyroid cancer risk. Mixture analysis also showed that thyroid cancer risk is negatively associated with the overall mixture and carboxylates. In the overall mixture, PFOS and PFDA contributed most to positive and negative changes in thyroid cancer risk, respectively. However, PFOS, PFNA, PFDA, and PFUnDA were of equally high importance. This study is the first to confirm the effects of the PFAS mixture on thyroid cancer, and further large-scale prospective studies are still warranted to test these inverse associations.
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Affiliation(s)
- Haoran Li
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Department of Pharmacy, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, PR China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, PR China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, PR China
| | - Jing Yang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China
| | - Samuel Seery
- Faculty of Health and Medicine, Division of Health Research, Lancaster University, Lancaster, LA1 4YW, UK; School of Humanities and Social Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Chaoying Ma
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China
| | - Yi Liu
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang, 050017, PR China
| | - Xiaoguang Zhang
- Core Facilities and Centers of Hebei Medical University, Shijiazhuang, 050017, PR China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, PR China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, PR China.
| | - Huicai Guo
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Province, Shijiazhuang, 050017, PR China.
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22
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Tang P, Liao Q, Tang Y, Yao X, Du C, Wang Y, Song F, Deng S, Wang Y, Qiu X, Yang F. Independent and combined associations of urinary metals exposure with markers of liver injury: Results from the NHANES 2013-2016. CHEMOSPHERE 2023; 338:139455. [PMID: 37429383 DOI: 10.1016/j.chemosphere.2023.139455] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/02/2023] [Accepted: 07/07/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Heavy metals entering the human body could cause damage to a variety of organs. However, the combined harmful effects of exposure to various metals on liver function are not well understood. The purpose of the study was to investigate the independent and joint relationships between heavy metal exposure and liver function in adults. METHODS The study involved 3589 adults from the National Health and Nutrition Examination Survey. Concentrations of urinary metals, including arsenic (As), cadmium (Cd), lead (Pb), antimony (Sb), barium (Ba), thallium (Tl), tungsten (W), uranium (U), were determined in urine using inductively coupled plasma mass spectrometry. Data for liver function biomarkers included alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transaminase (GGT), and alkaline phosphatase (ALP). Survey-weighted linear regression and quantile g-computation (qgcomp) were employed to evaluate the relationship of urinary metals with the markers of liver injury. RESULTS Cd, U and Ba were found to have positive correlations with ALT, AST, GGT, and ALP in the survey-weighted linear regression analyses. According to the qgcomp analyses, the total metal mixture was positively correlated with ALT (percent change: 8.15; 95% CI: 3.84, 12.64), AST (percent change: 5.55; 95% CI: 2.39, 8.82), GGT (percent change: 14.30; 95% CI: 7.81, 21.18), and ALP (percent change: 5.59; 95% CI: 2.65, 8.62), and Cd, U, and Ba were the main contributors to the combined effects. Positive joint effects were observed between Cd and U on ALT, AST, GGT and ALP, and U and Ba had positive joint effects on ALT, AST and GGT. CONCLUSION Exposures to Cd, U, and Ba were individually associated with multiple markers of liver injury. Mixed metal exposure might be adversely correlated with markers of liver function. The findings indicated the potential harmful effect of metal exposure on liver function.
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Affiliation(s)
- Peng Tang
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China; Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China; Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Qian Liao
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yan Tang
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Xueqiong Yao
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Can Du
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yangcan Wang
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Fengmei Song
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Shuxiang Deng
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Yue Wang
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Xiaoqiang Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
| | - Fei Yang
- Department of Epidemiology and Health Statistics, The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Basic Medicine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
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Chi Y, Park JT, Na S, Kwak K. Environment-wide association study of elevated liver enzymes: results from the Korean National Environmental Health Survey 2018-2022. Ann Occup Environ Med 2023; 35:e27. [PMID: 37701484 PMCID: PMC10493370 DOI: 10.35371/aoem.2023.35.e27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/27/2023] [Accepted: 06/11/2023] [Indexed: 09/14/2023] Open
Abstract
Background Environmental exposure is characterized by low concentration, chronic, and complex exposure. Traditional epidemiological studies show limitations in reflecting these characteristics since they usually focus on a single or very limited number of exposure factors at a time. In this study, we adopted the methodology of environment-wide association study (EWAS) to figure out the association of human liver function with various environmentally hazardous substances. Methods We analyzed 2,961 participants from the Korean National Environmental Health Survey Cycle 4 (2018-2020). Using generalized linear model (GLM) analysis, we analyzed the association of 72 variables with 3 liver function indices (aspartate aminotransferase [AST], alanine aminotransferase [ALT], and gamma glutamyl transferase [GGT]). Finally, we visualized our results with Manhattan plot. Results In GLM analysis, perfluorooctanesulfonate were positively associated with ALT (odds ratio [OR]: 2.2; 95% confidence interval [CI]: 1.39-3.46; p adjusted = 0.0147) and perfluorodecanoic acid showed positive association with GGT (OR: 2.73; 95% CI: 1.36-5.5; p adjusted = 0.0256). Plasma mercury showed positive association with GGT (OR: 1.45; 95% CI: 1.14-1.84; p adjusted = 0.0315). Using a plastic container while keeping food in the refrigerator was associated with elevated GGT compared to using a glass container (OR: 1.51; 95% CI: 1.16-1.95; p adjusted = 0.0153). 2-ethyl-5-oxohexyl phthalate, showed a negative trend with all 3 indices, with AST (OR: 0.54; 95% CI: 0.39-0.73; p adjusted = 0.00357), ALT (OR: 0.5; 95% CI: 0.34-0.75; p adjusted = 0.036), GGT (OR: 0.55; 95% CI: 0.4-0.76; p adjusted = 0.00697). Bisphenol S and frequent use of sunblock cream showed negative association with ALT (OR: 0.77; 95% CI: 0.66-0.89), and GGT (OR: 0.25; 95% CI: 0.11-0.55), respectively. Conclusions We conducted an exploratory study on environmental exposure and human liver function. By using EWAS methodology, we identified 7 factors that could have potential association with liver function.
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Affiliation(s)
- Youngchan Chi
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
| | - Jong-Tae Park
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
| | - Sewhan Na
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
- Department of Environmental Health Sciences, Seoul National University Graduate School of Public Health, Seoul, Korea
| | - Kyeongmin Kwak
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
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Wu J, Xu J, Zhao M, Li K, Yin G, Ge X, Zhao S, Liu X, Wei L, Xu Q. Threshold effect of urinary chromium on kidney function biomarkers: Evidence from a repeated-measures study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115139. [PMID: 37327523 DOI: 10.1016/j.ecoenv.2023.115139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/07/2023] [Accepted: 06/11/2023] [Indexed: 06/18/2023]
Abstract
Chronic kidney disease (CKD) is a public health concern worldwide, and chromium exposure may be a risk factor due to its potential nephrotoxicity. However, research on the association between chromium exposure and kidney function especially the potential threshold effect of chromium exposure is limited. A repeated-measures study involving 183 adults (641 observations) was conducted from 2017 to 2021 in Jinzhou, China. Urinary albumin-to-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR) were measured as kidney function biomarkers. Generalized mixed models and two-piecewise linear spline mixed models were used to assess the dose-response relationship and potential threshold effect of chromium on kidney function, respectively. Temporal analysis was conducted by the latent process mixed model to depict the longitudinal change of kidney function over age. Urinary chromium was associated with CKD (odds ratio [OR] = 1.29; 95 % confidence interval [CI], 6.41, 14.06) and UACR (Percent change = 10.16 %; 95 % CI, 6.41 %, 14.06 %), and we did not find significant association between urinary chromium and eGFR (Percent change = 0.06 %; 95 % CI, -0.80 %, 0.95 %). The threshold analyses suggested the existence of threshold effects of urinary chromium, with inflection points at 2.74 μg/L for UACR and 3.95 μg/L for eGFR. Furthermore, we found that chromium exposure exhibited stronger kidney damage over age. Our study provided evidence for the threshold effects of chromium exposure on kidney function biomarkers and the heightened nephrotoxicity of chromium in older adults. More attention should be paid to the supervision of chromium exposure concentrations for preventing kidney damage, especially in older adults.
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Affiliation(s)
- Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Guohuan Yin
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Shuanzheng Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou 121001, Liaoning Province, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou 121001, Liaoning Province, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
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25
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Zhang Z, Guo S, Hua L, Wang B, Chen Q, Liu L, Xiang L, Sun H, Zhao H. Urinary Levels of 14 Metal Elements in General Population: A Region-Based Exploratory Study in China. TOXICS 2023; 11:488. [PMID: 37368588 DOI: 10.3390/toxics11060488] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023]
Abstract
Metal pollution may lead to a variety of diseases; for this reason, it has become a matter of public concern worldwide. However, it is necessary to use biomonitoring approaches to assess the risks posed to human health by metals. In this study, the concentrations of 14 metal elements in 181 urine samples obtained from the general population of Gansu Province, China, were analyzed using inductively coupled plasma mass spectrometry. Eleven out of fourteen target elements had detection frequencies above 85%, namely, Cr, Ni, As, Se, Cd, Al, Fe, Cu and Rb. The concentrations of most metal elements in the urine of our subjects corresponded to the medium levels of subjects in other regional studies. Gender exerted a significant influence (p < 0.05) on the concentrations of Tl, Rb and Zn. The concentrations of Ni, As, Pb, Sr, Tl, Zn, Cu and Se showed significant differences among different age groups and the age-related concentration trends varied among these elements. There were significant differences in the urine concentrations of Zn and Sr between those subjects in the group who were frequently exposed to soil (exposed soil > 20 min/day) and those in the group who were not, indicating that people in regular contact with soil may be more exposed to metals. This study provides useful information for evaluating the levels of metal exposure among general populations.
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Affiliation(s)
- Zining Zhang
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Sai Guo
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Liting Hua
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Qiusheng Chen
- Institute of Agro-Product Safety and Nutrition, Tianjin Academy of Agricultural Sciences, Tianjin 300381, China
| | - Lu Liu
- Institute of Agro-Product Safety and Nutrition, Tianjin Academy of Agricultural Sciences, Tianjin 300381, China
| | - Li Xiang
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Hongwen Sun
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Hongzhi Zhao
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
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26
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Yu YJ, Li ZC, Tian JL, Hao CJ, Kuang HX, Dong CY, Zhou Y, Wu QZ, Gong YC, Xiang MD, Chen XC, Yang X, Dong GH. Why Do People Gain Belly Fat in Rural Areas? A Study of Urinary Metal(loid)s and Abdominal Obesity in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:7938-7949. [PMID: 37202343 DOI: 10.1021/acs.est.2c09464] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Obesity is prevalent in rural areas of China, and there are inconsistent findings regarding the association between metal(loid) exposure and the risk of obesity. Abdominal obesity (AOB), which reflects visceral fat abnormity, is a crucial factor in studying obesity-related diseases. We conducted a study measuring 20 urinary metal(loid)s, 13 health indicators, and the waist circumference (WC) in 1849 participants from 10 rural areas of China to investigate their relationships. In the single exposure models, we found that urinary chromium (Cr) was significantly associated with the odds of having AOB [adjusted odds ratio (OR) = 1.81 (95% confidence interval (CI): 1.24, 2.60)]. In the mixture exposure models, urinary Cr consistently emerged as the top contributor to AOB, while the overall effect of mixed metal(loid)s was positive toward the odds of having AOB [adjusted OR: 1.33 (95% CI: 1.00, 1.77)], as revealed from the quantile g-computation model. After adjusting for the effects of other metal(loid)s, we found that the elevation of apolipoprotein B and systolic blood pressure significantly mediated the association between urinary Cr and the odds of having AOB by 9.7 and 19.4%, respectively. Our results suggest that exposure to metal(loid)s is a key factor contributing to the prevalence of AOB and WC gain in rural areas of China.
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Affiliation(s)
- Yun-Jiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Zhen-Chi Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Jing-Lin Tian
- Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Chao-Jie Hao
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Hong-Xuan Kuang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Chen-Yin Dong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Qi-Zhen Wu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yan-Chen Gong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ming-Deng Xiang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Xi-Chao Chen
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Xiao Yang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
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Dolce A, Della Torre S. Sex, Nutrition, and NAFLD: Relevance of Environmental Pollution. Nutrients 2023; 15:nu15102335. [PMID: 37242221 DOI: 10.3390/nu15102335] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/12/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common form of chronic liver disease and represents an increasing public health issue given the limited treatment options and its association with several other metabolic and inflammatory disorders. The epidemic, still growing prevalence of NAFLD worldwide cannot be merely explained by changes in diet and lifestyle that occurred in the last few decades, nor from their association with genetic and epigenetic risk factors. It is conceivable that environmental pollutants, which act as endocrine and metabolic disruptors, may contribute to the spreading of this pathology due to their ability to enter the food chain and be ingested through contaminated food and water. Given the strict interplay between nutrients and the regulation of hepatic metabolism and reproductive functions in females, pollutant-induced metabolic dysfunctions may be of particular relevance for the female liver, dampening sex differences in NAFLD prevalence. Dietary intake of environmental pollutants can be particularly detrimental during gestation, when endocrine-disrupting chemicals may interfere with the programming of liver metabolism, accounting for the developmental origin of NAFLD in offspring. This review summarizes cause-effect evidence between environmental pollutants and increased incidence of NAFLD and emphasizes the need for further studies in this field.
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Affiliation(s)
- Arianna Dolce
- Department of Pharmaceutical Sciences, University of Milan, 20133 Milan, Italy
| | - Sara Della Torre
- Department of Pharmaceutical Sciences, University of Milan, 20133 Milan, Italy
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28
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Yu YJ, Li ZC, Zhou Y, Dong CY, Kuang HX, Zheng T, Xiang MD, Chen XC, Li HY, Zeng XW, Xu SL, Hu LW, Dong GH. Associations between trace level thallium and multiple health effects in rural areas: Chinese Exposure and Response Mapping Program (CERMP). THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 862:160466. [PMID: 36436652 DOI: 10.1016/j.scitotenv.2022.160466] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/25/2022] [Accepted: 11/20/2022] [Indexed: 06/16/2023]
Abstract
Thallium (Tl) is a cumulative high toxicant in the environment, but few studies have investigated the comprehensive health effects underlying chronic Tl exposure at trace levels. This study aims to evaluate the liver, kidney, lung and other potential health effects associated with chronic Tl exposure at trace levels in rural areas of China. Urinary Tl concentrations of 2883 adults from rural areas of 12 provinces in China were measured and 2363 participants were involved in the final analysis. Indicators of liver and kidney functions in the serum, as well as the lung function indicators, were determined in the participants. General linear regression and restricted cubic spline regression were combined to study the associations between urinary Tl and health indicators or outcomes. In this study, the detected rate of Tl in the urine of the participants was 97.28 %. When the urinary Tl concentration was ranged at the fourth quintile, the risk of having liver function disorder was 70 % higher [Odds ratio (OR) = 1.70 (95 % confidence intervals (CI): 1.30, 2.22)] in all the participants, whereas the farmers were more likely to have the disorder [OR = 2.08 (95 % CI: 1.49, 2.92)] than the non-farmers [OR = 1.20 (95 % CI: 0.77, 1.88)]. Nonlinear associations between most of the liver health indicators and urinary Tl were identified, of which serum bilirubin was strongly associated with the elevation of urinary Tl when its concentration was >0.40 μg/g creatinine. Besides, urinary Tl was negatively associated with lung health indicators. Our study proposes the safety re-assessment of the current exposure level of Tl in the environment, especially in rural areas of China.
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Affiliation(s)
- Yun-Jiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Zhen-Chi Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China.
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Chen-Yin Dong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Hong-Xuan Kuang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Tong Zheng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Ming-Deng Xiang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Xi-Chao Chen
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Hong-Yan Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shu-Li Xu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Li W, Li X, Su J, Chen H, Zhao P, Qian H, Gao X, Ye Q, Zhang G, Li X. Associations of blood metals with liver function: Analysis of NHANES from 2011 to 2018. CHEMOSPHERE 2023; 317:137854. [PMID: 36649900 DOI: 10.1016/j.chemosphere.2023.137854] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 01/05/2023] [Accepted: 01/11/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Heavy metals have been reported to affect liver function. However, there is currently little and inconsistent knowledge about the effects of combined and individual blood metals on specific parameters of liver function in the general population. Hence, this study aimed to elucidate their associations. METHODS Data from National Health and Nutrition Examination Survey (NHANES) 2011-2018 were used in this cross-sectional study. Multivariate linear, and a quantile-based g-computation (qgcomp) were applied to explore the associations between blood metals [mercury (Hg), manganese (Mn), lead (Pb), cadmium (Cd), selenium (Se)], alone and in combination, and liver function parameters [alanine transaminase (ALT), aspartate transaminase (AST), ALT/AST, alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT) and serum total bilirubin (TBIL)]. RESULTS A total of 15,328 were included. Multivariate linear models indicated that liver function was significantly associated with blood heavy metals. The most significant relationship was found between Se and AST (β 5.09, 95%CI (3.28,6.91), p<0.001), Mn and ALT (β 1.24, 95%CI (0.57, 1.91), p<0.001). Furthermore, the qgcomp analysis showed that the combination of five blood metals was positively associated with AST, ALT, GGT, TBIL and HSI. Cd contributed the most to the correlation of AST (weight = 0.447), Se contributed the most to the association of ALT (weight = 0.438) and HSI (weight = 0.570), Pb contributed the most to the association of GGT (weight = 0.421) and Hg contributed the most to the correlation of TBIL (weight = 0.331). CONCLUSIONS Blood heavy metal levels were significantly associated with liver function parameters. Further studies are required to clarify the relationship between heavy metals and liver function.
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Affiliation(s)
- Wenjie Li
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Xinyan Li
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Jing Su
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China; Department of Gastroenterology, The Xuzhou School of Clinical Medicine of Nanjing Medical University, Xuzhou, 221009, China.
| | - Han Chen
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Ping Zhao
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Haisheng Qian
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Xin Gao
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Qiang Ye
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Guoxin Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
| | - Xuan Li
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
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30
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Liu J, Tan L, Liu Z, Shi R. Blood and urine manganese exposure in non-alcoholic fatty liver disease and advanced liver fibrosis: an observational study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:22222-22231. [PMID: 36280639 DOI: 10.1007/s11356-022-23630-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
Manganese was the key activator of biological enzymes-mediated metabolic diseases (Mets)-associated pathophysiological process. Non-alcoholic fatty liver disease (NAFLD), which was the hepatic manifestation of Mets, development remained a mystery. We aimed to explore the association between blood/urine manganese exposure and NAFLD and liver fibrosis diagnosed by vibration-controlled transient elastography (VCTE). All data were extracted from National Health and Nutrition Examination Survey database (2017-2018). A total of 3580 participants with blood manganese data were enrolled and divided into four groups according to the quartile of blood manganese exposure level. In multiple logistic regression models, the higher blood manganese exposure level (groups 2, 3, and 4) had a significant positive association with NAFLD (β = 1.58, 1.30, and 1.69). In subgroup analysis, the main inversely correlation between blood manganese and NAFLD was found in participants with normal/high body mass index and high blood manganese exposure level. Moreover, in 1179 participants with urine manganese data, urine manganese exposure level presented as significantly associated with advanced liver fibrosis in models 1 and 2 (β = 2.00 and 2.02). This study showed that manganese exposure level was positively associated with NAFLD and advanced liver fibrosis among the US population. We suggested that manganese exposure level was a biomarker of the development of NAFLD.
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Affiliation(s)
- Jie Liu
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Liao Tan
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhaoya Liu
- Department of the Geriatrics, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ruizheng Shi
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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31
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Zhao M, Wu J, Xu J, Li A, Mei Y, Ge X, Yin G, Liu X, Wei L, Xu Q. Association of environmental exposure to chromium with differential DNA methylation: An epigenome-wide study. Front Genet 2023; 13:1043486. [PMID: 36685967 PMCID: PMC9845398 DOI: 10.3389/fgene.2022.1043486] [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: 09/13/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction: Previous studies have reported that chromium (Cr)-induced epigenetic alterations and DNA methylation play a vital role in the pathogenesis of diseases induced by chromium exposure. Epigenomic analyses have been limited and mainly focused on occupational chromium exposure; their findings are not generalizable to populations with environmental Cr exposure. Methods: We identified the differential methylation of genes and regions to elucidate the mechanisms of toxicity related to environmental chromium exposure. DNA methylation was measured in blood samples collected from individuals in Cr-contaminated (n = 10) and unexposed areas (n = 10) by using the Illumina Infinium HumanMethylation850K array. To evaluate the relationship between chromium levels in urine and CpG methylation at 850 thousand sites, we investigated differentially methylated positions (DMPs) and differentially methylated regions (DMRs) by using linear models and DMRcate method, respectively. The model was adjusted for biologically relevant variables and estimated cell-type compositions. Results: At the epigenome-wide level, we identified five CpGs [cg20690919 (p FDR =0.006), cg00704664 (p FDR =0.024), cg10809143 (p FDR =0.043), cg27057652 (p FDR =0.047), cg05390480 (p FDR =0.024)] and one DMR (chr17: 19,648,718-19,648,972), annotated to ALDH3A1 genes (p < 0.05) as being significantly associated with log2 transformed urinary chromium levels. Discussion: Environmental chromium exposure is associated with DNA methylation, and the significant DMPs and DMR being annotated to cause DNA damage and genomic instability were found in this work. Research involving larger samples is required to further explore the epigenetic effect of environmental chromium exposure on health outcomes through DNA methylation.
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Affiliation(s)
- Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Guohuan Yin
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou, Liaoning, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China,*Correspondence: Qun Xu,
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32
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Chen Y, Wang Y, Cui Z, Liu W, Liu B, Zeng Q, Zhao X, Dou J, Cao J. Endocrine disrupting chemicals: A promoter of non-alcoholic fatty liver disease. Front Public Health 2023; 11:1154837. [PMID: 37033031 PMCID: PMC10075363 DOI: 10.3389/fpubh.2023.1154837] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/06/2023] [Indexed: 04/11/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most prevalent liver disorder. With the improvement in human living standards, the prevalence of NAFLD has been increasing in recent years. Endocrine-disrupting chemicals (EDCs) are a class of exogenous chemicals that simulate the effects of hormones in the body. There has been growing evidence regarding the potential effects of EDCs on liver health, especially in NAFLD. This paper aims to summarize the major EDCs that contribute to the growing burden of NAFLD and to raise public awareness regarding the hazards posed by EDCs with the objective of reducing the incidence of NAFLD.
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Guo X, Li N, Wang H, Su W, Song Q, Liang Q, Liang M, Sun C, Li Y, Lowe S, Bentley R, Song EJ, Zhou Q, Ding X, Sun Y. Combined exposure to multiple metals on cardiovascular disease in NHANES under five statistical models. ENVIRONMENTAL RESEARCH 2022; 215:114435. [PMID: 36174761 DOI: 10.1016/j.envres.2022.114435] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 09/13/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND It is well-documented that heavy metals are associated with cardiovascular disease (CVD). However, there is few studies exploring effect of metal mixture on CVD. Therefore, the primary objective of present study was to investigate the joint effect of heavy metals on CVD and to identify the most influential metals in the mixture. METHODS Original data for study subjects were obtained from the National Health and Nutrition Examination Survey. In this study, adults with complete data on 12 kinds of urinary metals (antimony, arsenic, barium, cadmium, cobalt, cesium, molybdenum, mercury, lead, thallium, tungsten, and uranium), cardiovascular disease, and core covariates were enrolled. We applied five different statistical strategies to examine the CVD risk with metal exposure, including multivariate logistic regression, adaptive elastic net combined with Environmental Risk Score, Quantile g-computation, Weighted Quantile Sum regression, and Bayesian kernel machine regression. RESULTS Higher levels of cadmium, tungsten, cobalt, and antimony were significantly associated with Increased risk of CVD when covariates were adjusted for multivariate logistic regression. The results from multi-pollutant strategies all indicated that metal mixture was positively associated with the risk of CVD. Based on the results of multiple statistical strategies, it was determined that cadmium, tungsten, cobalt, and antimony exhibited the strongest positive correlations, whereas barium, lead, molybdenum, and thallium were most associated with negative correlations. CONCLUSION Overall, our study demonstrates that exposure to heavy metal mixture is linked to a higher risk of CVD. Meanwhile, this association may be driven primarily by cadmium, tungsten, cobalt, and antimony. Further prospective studies are warranted to validate or refute our primary findings as well as to identify other important heavy metals linked with CVD.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Yaru Li
- Internal Medicine, Swedish Hospital, 5140 N California Ave, Chicago, IL, 60625, USA
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Evelyn J Song
- Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Qin Zhou
- Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China; Chaohu Hospital, Anhui Medical University, Hefei, 238006, Anhui, PR China.
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Wei Y, Cai J, Mo X, Xu M, Liu Q, Zhang J, Liu S, Lin Y, Huang S, Qin J, Zhang Z. Associations of Dietary and Plasma Copper Levels with Liver Function in a Chinese Population. Biol Trace Elem Res 2022; 201:3268-3278. [PMID: 36369451 DOI: 10.1007/s12011-022-03445-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 10/03/2022] [Indexed: 11/13/2022]
Abstract
The potential mechanisms underlying the association between copper (Cu) exposure and impaired liver function are unclear. This study aimed to investigate the potential associations of dietary Cu intake and plasma Cu levels with liver function biomarkers. A cross-sectional study was performed to assess liver function biomarkers-namely, levels of total bilirubin (TBIL), direct bilirubin (DBIL), indirect bilirubin (IBIL), alanine transaminase (ALT), and aspartate transaminase (AST)-in 2376 subjects in Guangxi, China. Dietary Cu intake was determined from a food frequency questionnaire containing 109 common foods. Plasma Cu concentrations were determined by inductively coupled plasma‒mass spectrometry. Multiple linear regression and multivariate restricted cubic splines (RCS) were used to evaluate the correlations of plasma Cu levels and dietary Cu levels with liver function biomarkers. The covariate-adjusted results of the linear regression analysis showed that plasma Cu levels were significantly negatively correlated with serum IBIL (β = - 0.37), DBIL (β = - 0.22), and TBIL levels (β = - 0.32) (all p < 0.05), and dietary Cu was negatively correlated with serum AST levels (β = - 0.12, p < 0.05). The RCS analysis further indicated a negative linear relationship between dietary Cu levels and AST levels. In summary, our results suggested that the plasma Cu level is associated with serum bilirubin levels and that dietary Cu intake is associated with serum AST levels. Further studies are needed to validate these associations and elucidate the underlying mechanisms.
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Affiliation(s)
- Yanfei Wei
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Jiansheng Cai
- Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin541004, China
| | - Xiaoting Mo
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Min Xu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Qiumei Liu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Junling Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Shuzhen Liu
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yinxia Lin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Shenxiang Huang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Jian Qin
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
| | - Zhiyong Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, 541004, China.
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, 541004, China.
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Li A, Zhou Q, Mei Y, Zhao J, Liu L, Zhao M, Xu J, Ge X, Xu Q. The effect of urinary essential and non-essential elements on serum albumin: Evidence from a community-based study of the elderly in Beijing. Front Nutr 2022; 9:946245. [PMID: 35923200 PMCID: PMC9342688 DOI: 10.3389/fnut.2022.946245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 06/24/2022] [Indexed: 11/16/2022] Open
Abstract
Background & aims Few epidemiological studies have investigated the relationships of urinary essential and non-essential elements with serum albumin, an indicator of nutritional status, especially for the elderly in China. Methods A community-based study among elderly participants (n = 275) was conducted in Beijing from November to December 2016. We measured 15 urinary elements concentrations and serum albumin levels. Three statistical methods including the generalized linear model (GLM), quantile g-computation model (qgcomp) and bayesian kernel machine regression (BKMR) were adapted. Results In GLM analysis, we observed decreased serum albumin levels associated with elevated urinary concentrations of aluminum, arsenic, barium, cobalt, chromium, copper, iron, manganese, selenium, strontium, and zinc. Compared with the lowest tertile, the highest tertile of cadmium and cesium was also negatively associated with serum albumin. Urinary selenium concentration had the most significant negative contribution (30.05%) in the qgcomp analysis. The negative correlations of element mixtures with serum albumin were also observed in BKMR analysis. Conclusions Our findings suggested the negative associations of essential and non-essential elements with serum albumin among the elderly. Large-scare cohort studies among the general population are required to validate our findings and elucidate the relevant underlying mechanisms.
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Affiliation(s)
- Ang Li
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Liu Liu
- Chaoyang District Center for Disease Control and Prevention, Beijing, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, School of Basic Medicine Peking Union Medical College, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, Beijing, China
- Center of Environmental and Health Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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Weng X, Tan Y, Fei Q, Yao H, Fu Y, Wu X, Zeng H, Yang Z, Zeng Z, Liang H, Wu Y, Wen L, Jing C. Association between mixed exposure of phthalates and cognitive function among the U.S. elderly from NHANES 2011-2014: Three statistical models. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 828:154362. [PMID: 35259385 DOI: 10.1016/j.scitotenv.2022.154362] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/28/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Studies on the relationship between phthalate exposure and cognition in adults are sparse and inconsistent. These studies only assessed their association of single phthalates for one-time and the tools for assessing cognitive function were different. OBJECTIVE We aimed to examine the association between mixed phthalates and cognition in the U.S elderly using three statistical models. METHODS The generalized linear (GLM), weighted quantile sum (WQS), and Bayesian kernel machine regression (BKMR) models were used to evaluate the associations between mixed phthalates and the standardized z-scores of four cognitive tests [Immediate Recall test (IRT), Delayed Recall test (DRT), Animal Fluency test (AFT), and Digit Symbol Substitution test (DSST)] in participants aged over 60 years from NHANES 2011-2014. RESULTS 835 individuals were included and the median raw scores of IRT, DRT, AFT, and DSST were 19 (IQR: 16-23), 6 (IQR: 5-8), 16 (IQR: 13-20), 46 (IQR: 35-59). In adjusted GLM, negative associations were observed between MECPP, MnBP, MCOP, MCPP, and the IRT z-scores; MCPP, MBzP, and the DRT z-scores. Positive relationships were found between MCOP, MCPP, and the AFT z-scores; MCPP and the DSST z-scores. The WQS index was associated with the IRT z-scores (β(95%CI): -0.069(-0.118, -0.020)), where MCPP weighted the highest. In the BKMR, negative overall trends between the mixture and the IRT, DRT z-scores were observed when the mixture was at 40th to 65th percentile, 65th percentile or above it, respectively, where MnBP and MBzP drove the main effect of the mixture. CONCLUSION This study is an academic exploration of the association between phthalates exposure and cognitive function, suggesting that exposure to phthalates might be associated with bad performance in IRT and DRT in the U.S. elderly.
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Affiliation(s)
- Xueqiong Weng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Yuxuan Tan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Qiaoyuan Fei
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Huojie Yao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Yingyin Fu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Xiaomei Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Huixian Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Zhiyu Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Zurui Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Huanzhu Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Yingying Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Lin Wen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou 510632, Guangdong, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou 510632, Guangdong, China.
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