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Chen Z, Wei W, Hu Y, Niu Q, Yan Y. Associations between co-exposure to per- and polyfluoroalkyl substances and metabolic diseases: The mediating roles of inflammation and oxidative stress. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 953:176187. [PMID: 39265689 DOI: 10.1016/j.scitotenv.2024.176187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 08/17/2024] [Accepted: 09/08/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) pose potential risks to human health. In real-world settings, humans are exposed to various PFAS through numerous pathways. OBJECTIVES This study evaluated the associations between co-exposure to PFAS and obesity and its comorbidities, along with the mediating roles of inflammation and oxidative stress. METHODS We analyzed 11,090 participants from National Health and Nutrition Examination Survey (NHANES), 2003-2018. Linear regression, logistic regression, and generalized additive models were used to assess the individual effects of PFAS exposure on obesity and its comorbidities. The environmental risk score (ERS) was calculated using the adaptive elastic-net model to assess the co-exposure effects. Linear and logistic regression models explored the associations between ERS and obesity and its comorbidities. Mediation analyses explored the roles of inflammatory (neutrophils, lymphocytes, and alkaline phosphatase) and oxidative stress (gamma-glutamyl transferase, total bilirubin, and uric acid) markers in the associations between ERS and obesity and its comorbidities. RESULTS For each unit increase in ERS, the odds of obesity and type 2 diabetes mellitus (T2DM) increased 3.60-fold (95 % CI: 2.03, 6.38) and 1.91-fold (95 % CI: 1.28, 2.86), respectively. For each unit increase in ERS, BMI increased by 2.36 (95 % CI: 1.24, 3.48) kg/m2, waist circumference increased by 6.47 (95 % CI: 3.56, 9.37) cm, and waist-to-height ratio increased by 0.04 (95 % CI: 0.02, 0.06). Lymphocytes, alkaline phosphatase, and total bilirubin were significantly associated with both ERS and obesity, with mediation proportions of 4.17 %, 3.62 %, and 7.37 %, respectively. Lymphocytes, alkaline phosphatase, total bilirubin, and uric acid were significantly associated with both ERS and T2DM, with the mediation proportions of 8.90 %, 8.74 %, 29.73 %, and 38.19 %, respectively. CONCLUSIONS Co-exposure to PFAS was associated with obesity and T2DM, and these associations may be mediated by inflammation and oxidative stress. Further mechanistic and prospective studies are required to verify these associations.
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Affiliation(s)
- Zuhai Chen
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Wanting Wei
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Yunhua Hu
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China; Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, China; Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China; Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Qiang Niu
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China; Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, China; Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China; Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, China
| | - Yizhong Yan
- Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China; Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, China; Key Laboratory of Preventive Medicine, Shihezi University, Shihezi, Xinjiang, China; Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, China.
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Ding X, Liu Y, Wan S, Yang Y, Liang R, Yang S, Zhang J, Cao X, Zhou M, Chen W. Cross-sectional and longitudinal associations of PAHs exposure with serum uric acid and hyperuricemia among Chinese urban residents: The potential role of oxidative damage. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 360:124664. [PMID: 39098642 DOI: 10.1016/j.envpol.2024.124664] [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: 02/19/2024] [Revised: 07/13/2024] [Accepted: 08/01/2024] [Indexed: 08/06/2024]
Abstract
A few studies found polycyclic aromatic hydrocarbons (PAHs) were associated with serum uric acid (SUA) or hyperuricemia (HUA). However, the longitudinal study is vacant, and the underlying mechanisms remain unclear. We aimed to assess the cross-sectional and longitudinal associations of urinary PAHs metabolites with SUA levels and HUA risk, and explore the mediating effects of oxidative stress and inflammation. 10 urinary mono-hydroxylated PAHs metabolites and SUA levels were measured among 4047 Chinese urban residents at baseline and 1496 individuals at 6-year follow-up. Biomarkers of oxidative damage and inflammation in urine/plasma were determined at baseline. We adopted generalized linear mixed models and logistic regression to assess the associations of PAHs metabolites with SUA and HUA, weighted quantile sum regression and adaptive elastic net regression to evaluate the overall effects of multi-PAHs mixture, and mediation analysis to estimate the mediating roles of the biomarkers. In the cross-sectional study, each 1-unit increase in the ln-transformed values of 2-OHNa, 2-OHFlu, 4-OHPh, 9-OHPh, 3-OHPh, 2-OHPh, ΣOHNa, ΣOHPh, and ΣOHPAHs was associated with a 4.10-, 3.90-, 6.42-, 7.33-, 4.85-, 5.43-, 4.47-, 7.67-, and 5.22-μmol/L increase in SUA, respectively. Meanwhile, each 1-unit increase in the ln-transformed values of 1-OHNa, 2-OHNa, 4-OHPh, 9-OHPh, 3-OHPh, 2-OHPh, ΣOHNa, ΣOHPh, and ΣOHPAHs was associated with a 17, 14, 15, 22, 14, 19, 18, 27, and 21% increment in HUA risk, respectively. After 6 years, individuals with persistent high level of 9-OHPh had a 12.5 μmol/L increase in SUA compared with those with persistent low level. The overall effects of multi-PAHs mixture on SUA and HUA remain positive. 8-hydroxy-deoxyguanosine mediated the associations of PAHs metabolites with SUA and HUA, and the mediated proportion ranged from 5.39% to 15.34%. PAHs exposure was associated with the elevated SUA levels and increased HUA risk, and oxidative DNA damage may be one of the underlying mechanisms.
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Affiliation(s)
- Xuejie Ding
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Yang Liu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Shuhui Wan
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Yueru Yang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Ruyi Liang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Shijie Yang
- Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430079, China
| | - Jiake Zhang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xiuyu Cao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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Kagawa T. The effect of low-level phthalate mixture on the prevalence of type 2 diabetes mellitus among adults in the US. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:3575-3585. [PMID: 38303613 DOI: 10.1080/09603123.2024.2312431] [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: 10/25/2023] [Accepted: 01/27/2024] [Indexed: 02/03/2024]
Abstract
Type 2 diabetes mellitus (T2DM) is an important public health issue owing to its rising global prevalence. Phthalates cause various health problems and are currently regulated in developed countries. However, studies on the impacts of low-level phthalate exposure under these regulations on T2DM are limited. This study investigated the impacts of combined and single exposures to phthalates and their alternatives on the prevalence of T2DM in 3,005 adults in the United States. The results indicated a positive joint effect of phthalate mixtures on the prevalence of T2DM. The joint effect was primarily attributed to Di-2-ethylhexyl phthalate (DEHP) metabolites, whereas the contributions of others were limited. This study suggests that, despite the stringent regulations on phthalates, low levels of phthalates, including DEHP, still have joint effects on T2DM. The findings highlight the importance of regulating hazardous phthalates and the need for safer alternatives to reduce public health risks.
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Affiliation(s)
- Takumi Kagawa
- Graduate school of medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Yang C, Sun X, Liu H, Yu L, Xu S, Zhou A, Li Y. Prenatal exposure to metal mixtures, body mass index trajectories in early life and effect modifiers: Insights from a prospective birth cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135220. [PMID: 39084009 DOI: 10.1016/j.jhazmat.2024.135220] [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: 04/16/2024] [Revised: 07/08/2024] [Accepted: 07/14/2024] [Indexed: 08/02/2024]
Abstract
Current scientific knowledge is insufficient on the effects of metal mixtures on early life growth trajectories. This study included 7118 mother-infant pairs from a Chinese birth cohort. Concentrations of 18 maternal urinary metals were quantified, and growth trajectories were conducted based on standardized body mass index (BMI) for up to eight times from 0 to 2 years. A three-phase analytical framework was applied to explore the risk ratios (RR) and 95 % confidence intervals (95 % CI) of co-exposure to metals on dynamic growth, along with potential modifiers. Five growth trajectory groups were identified. Exposure to metal mixtures driven by thallium (Tl, 34.8 %) and aluminum (Al, 16.2 %) was associated with an increased risk of low-rising trajectory (RR=1.58, 95 % CI: 1.25, 2.00); however, exposure to mixtures driven by strontium (Sr, 49.5 %) exhibited an inverse correlation (RR = 0.81, 95 % CI: 0.67, 0.97). Furthermore, infants with varying levels of Tl, Al and Sr, as well as modifiers including pre-pregnancy BMI and infant sex faced distinct risks of low-rising trajectory. Our findings highlighted the Tl, Al, and Sr as key metals in relation to the low-rising trajectory in early life characterized as catch-up growth, with pre-pregnancy BMI and infant sex exerting as potential modifiers.
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Affiliation(s)
- Chenhui Yang
- Institute of Maternal and Child Health, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, People's Republic of China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China
| | - Xiaojie Sun
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, Hubei 430065, People's Republic of China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China
| | - Ling Yu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China
| | - Shunqing Xu
- School of Environmental Science and Engineering, Hainan University, Haikou, Hainan 570228, People's Republic of China
| | - Aifen Zhou
- Institute of Maternal and Child Health, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, People's Republic of China.
| | - Yuanyuan Li
- Institute of Maternal and Child Health, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, People's Republic of China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei 430030, People's Republic of China.
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Zhang J, Xiong YW, Zhu HL, Tan LL, Zhou H, Zheng XM, Zhang YF, Chang W, Xu DX, Wei T, Guan SZ, Wang H. Adolescent co-exposure to environmental cadmium and high-fat diet induces cognitive decline via Larp7 m6A-mediated SIRT6 inhibition. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:135159. [PMID: 39002485 DOI: 10.1016/j.jhazmat.2024.135159] [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: 04/05/2024] [Revised: 07/07/2024] [Accepted: 07/07/2024] [Indexed: 07/15/2024]
Abstract
The effects and underlying mechanisms of adolescent exposure to combined environmental hazards on cognitive function remain unclear. Here, using a combined exposure model, we found significant cognitive decline, hippocampal neuronal damage, and neuronal senescence in mice exposed to cadmium (Cd) and high-fat diet (HFD) during adolescence. Furthermore, we observed a significant downregulation of Sirtuin 6 (SIRT6) expression in the hippocampi of co-exposed mice. UBCS039, a specific SIRT6 activator, markedly reversed the above adverse effects. Further investigation revealed that co-exposure obviously reduced the levels of La ribonucleoprotein 7 (LARP7), disrupted the interaction between LARP7 and SIRT6, ultimately decreasing SIRT6 expression in mouse hippocampal neuronal cells. Overexpression of Larp7 reversed the combined exposure-induced SIRT6 decrease and senescence in mouse hippocampal neuronal cells. Additionally, the results showed notably elevated levels of Larp7 m6A and YTH domain family protein 2 (YTHDF2) in mouse hippocampal neuronal cells treated with the combined hazards. Ythdf2 short interfering RNA, RNA immunoprecipitation, and RNA stability assays further demonstrated that YTHDF2 mediated the degradation of Larp7 mRNA under combined exposure. Collectively, adolescent co-exposure to Cd and HFD causes hippocampal senescence and cognitive decline in mice by inhibiting LARP7-mediated SIRT6 expression in an m6A-dependent manner.
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Affiliation(s)
- Jin Zhang
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China
| | - Yong-Wei Xiong
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, China
| | - Hua-Long Zhu
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, China
| | - Lu-Lu Tan
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China
| | - Huan Zhou
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China
| | - Xin-Mei Zheng
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China
| | - Yu-Feng Zhang
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China
| | - Wei Chang
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China
| | - De-Xiang Xu
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, China
| | - Tian Wei
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, China.
| | - Su-Zhen Guan
- School of Public Health, Ningxia Medical University, China.
| | - Hua Wang
- Department of Toxicology, School of Public Health, Center for Big Data and Population Health of IHM, Anhui Medical University, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, China.
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Mao Q, Zhu X, Kong Y. Sleep duration mediates the association between heavy metals and the prevalence of depression: an integrated approach from the NHANES (2005-2020). Front Psychiatry 2024; 15:1455896. [PMID: 39286395 PMCID: PMC11404323 DOI: 10.3389/fpsyt.2024.1455896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 08/08/2024] [Indexed: 09/19/2024] Open
Abstract
Purpose This study investigates the association between heavy metal exposure and the prevalence of depression, with the mediating role of sleep duration. Method Our study investigated the association between heavy metal concentration and depression risk in the NHANES from 2005 to 2020. We used logistic regression analysis, WQS regression model and BKMR model to assess the association. Mediation analysis was performed to explore the role of sleep duration in heavy metal exposure-induced depression. Result Of the 10,825 individuals included in this study, 705 (6.85%) were diagnosed with depression. We found a positive association between the cadmium (Cd), cobalt (Co), lead (Pb), antimony (Sb), wolfram (W) concentration and the prevalence of depression. Moreover, heavy metals mixtures were positively correlated with the prevalence of depression, with Cd identified as the main contributor in the WQS regression model (0.4654). Furthermore, sleep duration mediated the association between Cd, molybdenum (Mo), Pb, Sb, W exposure and prevalence of depression, explaining 3.12%, 15.84%, 18.24%, 9.56%, 3.68% of the effect. Conclusion The findings affirm that heavy metal exposure is linked to higher depression incidence and that this relationship is partly mediated by sleep duration alterations. The study underscores the importance of environmental health monitoring and interventions aimed at reducing heavy metal exposure to mitigate its psychological impacts.
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Affiliation(s)
- Qingsong Mao
- Hepatobiliary Pancreatic Surgery, Banan Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoyi Zhu
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Yuzhe Kong
- Xiangya School of Medicine, Central South University, Changsha, China
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Li P, Ma J, Jiang Y, Yang X, Luo Y, Tao L, Guo X, Gao B. Association between Mixed Heavy Metal Exposure and Arterial Stiffness, with Alkaline Phosphatase Identified as a Mediator. Biol Trace Elem Res 2024:10.1007/s12011-024-04359-2. [PMID: 39218814 DOI: 10.1007/s12011-024-04359-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
Elevated arterial stiffness has been associated with exposure to heavy metals such as lead (Pb) and cadmium (Cd). However, the collective impact of multiple metals and the underlying mechanisms are not fully elucidated. The purpose of this study was to assess the combined effects of exposure to nine heavy metals on arterial stiffness and explore whether serum alkaline phosphatase (ALP) acts as a mediator in this relationship. In the retrospective analysis, data from 8,700 participants were retrieved from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. Arterial stiffness was measured by estimated pulse wave velocity (ePWV). The cumulative impact of exposure to multiple metals was examined using adaptive elastic-net, environmental risk score, weighted quantile sum regression, and quantile g-computation. Additionally, mediation analysis was conducted to explore the potential mediating role of serum ALP. We found that combined exposure to multiple metals was consistently associated with elevated ePWV, with Ba, Pb, and Sb exhibiting the greatest contributions. Notably, serum ALP partially mediated the associations between individual (Pb, Sb) and mixed metal exposure with ePWV, with mediation proportions at 10.76% for Pb, 18.22% for Sb, and 11.07% for mixed metal exposure. In conclusion, this study demonstrates a clear association between exposure to heavy metals, either individually or in combination, and heightened arterial stiffness. Furthermore, the findings suggest that serum ALP activity may act as a mediator in these relationships.
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Affiliation(s)
- Pingan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China
| | - Jianhua Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China
| | - Yue Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China
| | - Lixin Tao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China
| | - Bo Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China.
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Cao J, Bu X, Chen J, Zhang X. Associations of prognostic nutritional index with risk of all-cause and cardiovascular disease mortalities in persons with gestational diabetes mellitus: A NHANES-based analysis. Diab Vasc Dis Res 2024; 21:14791641241284409. [PMID: 39255041 PMCID: PMC11406618 DOI: 10.1177/14791641241284409] [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] [Indexed: 09/12/2024] Open
Abstract
OBJECTIVE To investigate relationships between prognostic nutritional index (PNI) during pregnancy and risk of all-cause mortality (ACM) and cardiovascular disease (CVD) mortality in persons with gestational diabetes mellitus (GDM). METHODS A cross-sectional study was conducted using NHANES data from 2007 to 2018, and weighted Cox regression models were established. Restricted cubic spline analysis was used to unveil associations of PNI with risk of ACM and CVD mortalities in individuals with GDM. Receiver operating characteristic curve was employed for determination of threshold value for association of PNI with mortality. Sensitivity analysis was performed to verify the stability of the results. RESULTS 734 GDM individuals and 7987 non-GDM individuals were included in this study. In GDM population, after adjusting for different categorical variables, PNI was significantly negatively correlated with ACM risk. Subgroup analysis showed that among GDM populations with no physical activity, moderate physical activity, parity of 1 or 2, negative correlation between PNI and risk of ACM was stronger than other subgroups. Sensitivity analysis results showed stable negative correlations between PNI and ACM and CVD mortality of total population, and between PNI and ACM of GDM. CONCLUSION In individuals with GDM, PNI was negatively correlated with ACM risk, especially in populations with no physical activity, moderate physical activity, and parity of 1 or 2. PNI = 50.75 may be an effective threshold affecting ACM risk in GDM, which may help in risk assessment and timely intervention for individuals with GDM.
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Affiliation(s)
- Jianfang Cao
- Maternity Group Health Department, Jinhua Maternal and Child Health Hospital, Hangzhou, China
| | - Xiao Bu
- Zhejiang Sci-Tech University, Hangzhou, China
| | - Juping Chen
- Nursing Department, Jinhua Maternal and Child Health Hospital, Jinhua, China
| | - Xia Zhang
- Medical Oncology Department, Jinhua Central Hospital, Jinhua, China
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Gao Q, Song Y, Jia Z, Huan C, Cao Q, Wang C, Mao Z, Huo W. Association of exposure to a mixture of phenols, parabens, and phthalates with altered serum thyroid hormone levels and the roles of iodine status and thyroid autoantibody status: A study among American adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 282:116754. [PMID: 39047362 DOI: 10.1016/j.ecoenv.2024.116754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND Toxicological and epidemiological studies have shown that environmental endocrine disruptors interfere with hormonal homeostasis. However, there is limited research on the effects of mixed exposure to nonpersistent endocrine disruptors on thyroid hormones and the factors (e.g., presence status of thyroid autoantibodies or nutritional status of organismal iodine) that may influence this association. METHODS Data were collected from the National Health and Nutrition Examination Survey (NHANES) 2007-2008 and 2011-2012. Relationships between single pollutants and thyroid hormone and thyroid autoantibody levels were assessed using generalized linear (GLM) and restricted cubic spline (RCS) regression models. Weighted quantile sum regression (WQS), group-weighted quantile sum regression (GWQS), quantile-based g-computation (qgcomp), and adaptive elasticity network (AENET) were applied to assess the mixed exposure effect. Next, subgroup analyses were performed on the basis of the urinary iodine concentration or thyroid autoantibody status to assess the modifying role of urinary iodine and thyroid autoantibodies. RESULTS A total of 2385 study participants were included in this study. Both the single-pollutant model and the multipollutant mixed model revealed that parabens and bis(2-ethylhexyl) phthalate (DEHP) metabolites were significantly and negatively associated with serum thyroxine (T4) levels. However, no associations were found between the target pollutants and thyroid autoantibodies (thyroglobulin antibodies (TgAb) and thyroid peroxidase antibodies (TPOAb)). In addition, this study revealed that urinary iodine or thyroid autoantibody status altered the associations of some of the target pollutants with thyroid hormones. WQS and qgcomp analyses, revealed that the associations of mixed pollutants with hormones differed depending on the urinary iodine or antibody status, especially T4 and thyroid-stimulating hormone (TSH). CONCLUSION Significant associations were found between phenols, parabens, and phthalates and serum thyroid hormone levels, with parabens and DEHP metabolites playing major roles. Urinary iodine and thyroid autoantibody status act as modifiers between environmental endocrine-disrupting pollutants and thyroid hormones.
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Affiliation(s)
- Qian Gao
- Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yu Song
- Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zexin Jia
- Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Changsheng Huan
- Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Qingqing Cao
- Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Wang Y, Xu T, Zhang Y, He Y, Fang J, Xu Y, Jin L. Interaction between depression and non-essential heavy metals (Cd, Pb, and Hg) on metabolic diseases. J Trace Elem Med Biol 2024; 85:127484. [PMID: 38924924 DOI: 10.1016/j.jtemb.2024.127484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 05/19/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVES Metal exposure and depression have each been associated with adverse metabolic diseases, but no study has examined the potential interaction between them. We examined the interaction of depression on the association between metals and metabolic diseases among adults. STUDY DESIGN The interaction of depression in the relationship between metal and metabolic disease in adults was investigated using NHANES, a cross-sectional survey design. METHODS By employing data from the NHANES database spanning the years 2007-2018, regression models were employed to investigate the independent impacts of heavy metals (cadmium, lead, and mercury) and depression on metabolic diseases (type 2 diabetes, hypertension, hyperlipidemia, metabolic syndrome). Subsequently, the association between metals and metabolic diseases was explored stratified by depression, and the interaction between heavy metals and depression was explored. Because of the complex NHANES design, statistical evaluations were adjusted through weighting to represent the populace of the United States. RESULTS We found log transformed-urinary lead was significantly associated with type 2 diabetes (OR: 2.33; 95 % CI: 1.23, 4.41) in adults with depression. Log transformed-urinary lead was not associated with type 2 diabetes (OR: 0.84; 95 % CI: 0.56, 1.27) in adults without depression. The interaction between Pb and depression in type 2 diabetes was significant (P for interaction = 0.033). Log transformed-urinary lead * depression was significantly associated with type 2 diabetes (OR: 1.82; 95 % CI: 1.01, 3.34) in adults. There was no significant interaction between cadmium and mercury exposure and depression in patients with type 2 diabetes, hypertension, hyperlipidemia, and metabolic syndrome (P for interaction > 0.05). CONCLUSIONS The presence of depression positively modified the adverse associations between urinary lead and type 2 diabetes.
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Affiliation(s)
- Yanfang Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China
| | - Tong Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China
| | - Yuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China
| | - Yue He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China
| | - Jiaxin Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China
| | - Yan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
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11
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Ding E, Deng F, Fang J, Liu J, Yan W, Yao Q, Miao K, Wang Y, Sun P, Li C, Liu Y, Dong H, Dong L, Zhang X, Lu Y, Lin X, Ding C, Li T, Shi Y, Cai Y, Liu X, Godri Pollitt KJ, Ji JS, Tong S, Tang S, Shi X. Exposome-Wide Ranking to Uncover Environmental Chemicals Associated with Dyslipidemia: A Panel Study in Healthy Older Chinese Adults from the BAPE Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:97005. [PMID: 39240788 PMCID: PMC11379127 DOI: 10.1289/ehp13864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2024]
Abstract
BACKGROUND Environmental contaminants (ECs) are increasingly recognized as crucial drivers of dyslipidemia and cardiovascular disease (CVD), but the comprehensive impact spectrum and interlinking mechanisms remain uncertain. OBJECTIVES We aimed to systematically evaluate the association between exposure to 80 ECs across seven divergent categories and markers of dyslipidemia and investigate their underpinning biomolecular mechanisms via an unbiased integrative approach of internal chemical exposome and multi-omics. METHODS A longitudinal study involving 76 healthy older adults was conducted in Jinan, China, and participants were followed five times from 10 September 2018 to 19 January 2019 in 1-month intervals. A broad spectrum of seven chemical categories covering the prototypes and metabolites of 102 ECs in serum or urine as well as six serum dyslipidemia markers [total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, apolipoprotein (Apo)A1, ApoB, and ApoE4] were measured. Multi-omics, including the blood transcriptome, serum/urine metabolome, and serum lipidome, were profiled concurrently. Exposome-wide association study and the deletion/substitution/addition algorithms were applied to explore the associations between 80 EC exposures detection frequency > 50 % and dyslipidemia markers. Weighted quantile sum regression was used to assess the mixture effects and relative contributions. Multi-omics profiling, causal inference model, and pathway analysis were conducted to interpret the mediating biomolecules and underlying mechanisms. Examination of cytokines and electrocardiograms was further conducted to validate the observed associations and biomolecular pathways. RESULTS Eight main ECs [1-naphthalene, 1-pyrene, 2-fluorene, dibutyl phosphate, tri-phenyl phosphate, mono-(2-ethyl-5-hydroxyhexyl) phthalate, chromium, and vanadium] were significantly associated with most dyslipidemia markers. Multi-omics indicated that the associations were mediated by endogenous biomolecules and pathways, primarily pertinent to CVD, inflammation, and metabolism. Clinical measures of cytokines and electrocardiograms further cross-validated the association of these exogenous ECs with systemic inflammation and cardiac function, demonstrating their potential mechanisms in driving dyslipidemia pathogenesis. DISCUSSION It is imperative to prioritize mitigating exposure to these ECs in the primary prevention and control of the dyslipidemia epidemic. https://doi.org/10.1289/EHP13864.
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Affiliation(s)
- Enmin Ding
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fuchang Deng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Juan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wenyan Yan
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qiao Yao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Ke Miao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yu Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Peijie Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Chenfeng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Haoran Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Li Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xu Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yifu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xiao Lin
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Changming Ding
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yali Shi
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Yaqi Cai
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Xiaohui Liu
- National Protein Science Technology Center, Tsinghua University, Beijing, China
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Krystal J Godri Pollitt
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Shilu Tong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NIEH, China CDC, Beijing, China
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12
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Zhong J, Yang T, Wang Z, Zhang Y, Shen Y, Hu Y, Hong F. Associations between individual and mixed urinary metal exposure and dyslipidemia among Chinese adults: Data from the China Multi-Ethnic Cohort Study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 282:116696. [PMID: 38986334 DOI: 10.1016/j.ecoenv.2024.116696] [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: 04/07/2024] [Revised: 07/03/2024] [Accepted: 07/04/2024] [Indexed: 07/12/2024]
Abstract
The prevalence of dyslipidemia is increasing, and it has become a significant global public health concern. Some studies have demonstrated contradictory relationships between urinary metals and dyslipidemia, and the combined effects of mixed urinary metal exposure on dyslipidemia remain ambiguous. In this study, we examined how individual and combined urinary metal exposure are associated with the occurrence of dyslipidemia. According to the data from the 2018-2019 baseline survey database of the China Multi-Ethnic Cohort (CMEC) Study, a population of 9348 individuals was studied. Inductively coupled plasmamass spectrometry (ICP-MS) was used to measure 21 urinary metal concentrations in the collected adult urinary samples. The associations between urinary metals and dyslipidemia were analyzed by logistic regression, weighted quantile sum regression (WQS), and quantile-based g-computation (qgcomp), controlled for potential confounders to examine single and combined effects. Dyslipidemia was detected in 3231 individuals, which represented approximately 34.6 % of the total population. According to the single-exposure model, Al and Na were inversely associated with the risk of dyslipidemia (OR = 0.95, 95 % CI: 0.93, 0.98; OR = 0.89, 95 % CI: 0.83, 0.95, respectively), whereas Zn, Ca, and P were positively associated (OR = 1.69, 95 % CI: 1.42, 2.01; OR = 1.12, 95 % CI: 1.06, 1.18; OR = 1.21, 95 % CI: 1.09, 1.34, respectively). Moreover, Zn and P were significantly positively associated even after adjusting for these metals, whereas Al and Cr were negatively associated with the risk of dyslipidemia. The results of the WQS and qgcomp analyses showed that urinary metal mixtures were positively associated with the risk of dyslipidemia (OR = 1.26, 95 % CI: 1.15, 1.38; OR = 1.09, 95 % CI: 1.01, 1.19). This positive association was primarily driven by Zn, P, and Ca. In the sensitivity analyses with collinearity diagnosis, interaction, and stratified analysis, the results remained, confirming the reliability of the study findings. In this study, the individual and combined effects of urinary Zn, P, and Ca on dyslipidemia were determined, which provided novel insights into the link between exposure to metals and dyslipidemia.
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Affiliation(s)
- Jianqin Zhong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Tingting Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Ziyun Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Yuxin Zhang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Yili Shen
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Yuxin Hu
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6 Ankang Road, Guian New Area, Guizhou 561113, China.
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13
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Gong Z, Song T, Hu M, Che Q, Guo J, Zhang H, Li H, Wang Y, Liu B, Shi N. Natural and socio-environmental factors in the transmission of COVID-19: a comprehensive analysis of epidemiology and mechanisms. BMC Public Health 2024; 24:2196. [PMID: 39138466 PMCID: PMC11321203 DOI: 10.1186/s12889-024-19749-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 08/09/2024] [Indexed: 08/15/2024] Open
Abstract
PURPOSE OF REVIEW There are significant differences in the transmission rate and mortality rate of COVID-19 under environmental conditions such as seasons and climates. However, the impact of environmental factors on the role of the COVID-19 pandemic and the transmission mechanism of the SARS-CoV-2 is unclear. Therefore, a comprehensive understanding of the impact of environmental factors on COVID-19 can provide innovative insights for global epidemic prevention and control policies and COVID-19 related research. This review summarizes the evidence of the impact of different natural and social environmental factors on the transmission of COVID-19 through a comprehensive analysis of epidemiology and mechanism research. This will provide innovative inspiration for global epidemic prevention and control policies and provide reference for similar infectious diseases that may emerge in the future. RECENT FINDINGS Evidence reveals mechanisms by which natural environmental factors influence the transmission of COVID-19, including (i) virus survival and transport, (ii) immune system damage, (iii) inflammation, oxidative stress, and cell death, and (iiii) increasing risk of complications. All of these measures appear to be effective in controlling the spread or mortality of COVID-19: (1) reducing air pollution levels, (2) rational use of ozone disinfection and medical ozone therapy, (3) rational exposure to sunlight, (4) scientific ventilation and maintenance of indoor temperature and humidity, (5) control of population density, and (6) control of population movement. Our review indicates that with the continuous mutation of SARS-CoV-2, high temperature, high humidity, low air pollution levels, and low population density more likely to slow down the spread of the virus.
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Affiliation(s)
- Zhaoyuan Gong
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Tian Song
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Mingzhi Hu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Qianzi Che
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Jing Guo
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Haili Zhang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Huizhen Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Yanping Wang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Bin Liu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Nannan Shi
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
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14
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Jang DG, Dou JF, Koubek EJ, Teener S, Zhou L, Bakulski KM, Mukherjee B, Batterman SA, Feldman EL, Goutman SA. Multiple metal exposures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study. J Neurol Neurosurg Psychiatry 2024:jnnp-2024-333978. [PMID: 39107037 DOI: 10.1136/jnnp-2024-333978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 07/15/2024] [Indexed: 08/09/2024]
Abstract
BACKGROUND The pathogenesis of amyotrophic lateral sclerosis (ALS) involves both genetic and environmental factors. This study investigates associations between metal measures in plasma and urine, ALS risk and survival and exposure sources. METHODS Participants with and without ALS from Michigan provided plasma and urine samples for metal measurement via inductively coupled plasma mass spectrometry. ORs and HRs for each metal were computed using risk and survival models. Environmental risk scores (ERS) were created to evaluate the association between exposure mixtures and ALS risk and survival and exposure source. ALS (ALS-PGS) and metal (metal-PGS) polygenic risk scores were constructed from an independent genome-wide association study and relevant literature-selected single-nucleotide polymorphisms. RESULTS Plasma and urine samples from 454 ALS and 294 control participants were analysed. Elevated levels of individual metals, including copper, selenium and zinc, significantly associated with ALS risk and survival. ERS representing metal mixtures strongly associated with ALS risk (plasma, OR=2.95, CI=2.38-3.62, p<0.001; urine, OR=3.10, CI=2.43-3.97, p<0.001) and poorer ALS survival (plasma, HR=1.37, CI=1.20-1.58, p<0.001; urine, HR=1.44, CI=1.23-1.67, p<0.001). Addition of the ALS-PGS or metal-PGS did not alter the significance of metals with ALS risk and survival. Occupations with high potential of metal exposure associated with elevated ERS. Additionally, occupational and non-occupational metal exposures were associated with measured plasma and urine metals. CONCLUSION Metals in plasma and urine associated with increased ALS risk and reduced survival, independent of genetic risk, and correlated with occupational and non-occupational metal exposures. These data underscore the significance of metal exposure in ALS risk and progression.
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Affiliation(s)
- Dae-Gyu Jang
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - John F Dou
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Emily J Koubek
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - Samuel Teener
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - Lili Zhou
- Department of Biostatistics, Corewell Health, Royal Oak, Michigan, USA
| | - Kelly M Bakulski
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Stuart A Batterman
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - Stephen A Goutman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
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15
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Teffera M, Veith AC, Ronnekleiv-Kelly S, Bradfield CA, Nikodemova M, Tussing-Humphreys L, Malecki K. Diverse mechanisms by which chemical pollutant exposure alters gut microbiota metabolism and inflammation. ENVIRONMENT INTERNATIONAL 2024; 190:108805. [PMID: 38901183 DOI: 10.1016/j.envint.2024.108805] [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: 12/11/2023] [Revised: 05/28/2024] [Accepted: 06/07/2024] [Indexed: 06/22/2024]
Abstract
The human gut microbiome, the host, and the environment are inextricably linked across the life course with significant health impacts. Consisting of trillions of bacteria, fungi, viruses, and other micro-organisms, microbiota living within our gut are particularly dynamic and responsible for digestion and metabolism of diverse classes of ingested chemical pollutants. Exposure to chemical pollutants not only in early life but throughout growth and into adulthood can alter human hosts' ability to absorb and metabolize xenobiotics, nutrients, and other components critical to health and longevity. Inflammation is a common mechanism underlying multiple environmentally related chronic conditions, including cardiovascular disease, multiple cancer types, and mental health. While growing research supports complex interactions between pollutants and the gut microbiome, significant gaps exist. Few reviews provide descriptions of the complex mechanisms by which chemical pollutants interact with the host microbiome through either direct or indirect pathways to alter disease risk, with a particular focus on inflammatory pathways. This review focuses on examples of several classes of pollutants commonly ingested by humans, including (i) heavy metals, (ii) persistent organic pollutants (POPs), and (iii) nitrates. Digestive enzymes and gut microbes are the first line of absorption and metabolism of these chemicals, and gut microbes have been shown to alter compounds from a less to more toxic state influencing subsequent distribution and excretion. In addition, chemical pollutants may interact with or alter the selection of more harmful and less commensal microbiota, leading to gut dysbiosis, and changes in receptor-mediated signaling pathways that alter the integrity and function of the gut intestinal tract. Arsenic, cadmium, and lead (heavy metals), influence the microbiome directly by altering different classes of bacteria, and subsequently driving inflammation through metabolite production and different signaling pathways (LPS/TLR4 or proteoglycan/TLR2 pathways). POPs can alter gut microbial composition either directly or indirectly depending on their ability to activate key signaling pathways within the intestine (e.g., PCB-126 and AHR). Nitrates and nitrites' effect on the gut and host may depend on their ability to be transformed to secondary and tertiary metabolites by gut bacteria. Future research should continue to support foundational research both in vitro, in vivo, and longitudinal population-based research to better identify opportunities for prevention, gain additional mechanistic insights into the complex interactions between environmental pollutants and the microbiome and support additional translational science.
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Affiliation(s)
- Menna Teffera
- Molecular and Environmental Toxicology, University of Wisconsin-Madison, Madison, WI, US; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, US.
| | - Alex C Veith
- Department of Oncology, University of Wisconsin-Madison, Madison, WI, US.
| | - Sean Ronnekleiv-Kelly
- Molecular and Environmental Toxicology, University of Wisconsin-Madison, Madison, WI, US; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, US; Department of Surgery, University of Wisconsin-Madison, Madison, WI, US.
| | - Christopher A Bradfield
- Molecular and Environmental Toxicology, University of Wisconsin-Madison, Madison, WI, US; Department of Surgery, University of Wisconsin-Madison, Madison, WI, US; Department of Oncology, University of Wisconsin-Madison, Madison, WI, US.
| | - Maria Nikodemova
- College of Public Health and Health Professionals, University of Florida, FL, US.
| | - Lisa Tussing-Humphreys
- Department of Kinesiology and Nutrition, University of Illinois-Chicago, Chicago, IL, US; University of Illinois Cancer Center, University of Illinois-Chicago, Chicago, IL, US.
| | - Kristen Malecki
- Molecular and Environmental Toxicology, University of Wisconsin-Madison, Madison, WI, US; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, US; University of Illinois Cancer Center, University of Illinois-Chicago, Chicago, IL, US; Environmental Occupational Health Sciences, University of Illinois-Chicago, Chicago, IL, US.
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16
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Meng C, Gu C, Cai C, He S, Lai D, Qiu Q. Associations of heavy metal exposure with diabetic retinopathy in the U.S. diabetic population: a cross-sectional study. Front Public Health 2024; 12:1401034. [PMID: 39148656 PMCID: PMC11324498 DOI: 10.3389/fpubh.2024.1401034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/18/2024] [Indexed: 08/17/2024] Open
Abstract
Background Mounting evidence suggests a correlation between heavy metals exposure and diabetes. Diabetic retinopathy (DR) is a prevalent and irreversible complication of diabetes that can result in blindness. However, studies focusing on the effects of exposure to heavy metals on DR remain scarce. Thus, this study aimed to investigate the potential correlation between heavy metals exposure and DR. Methods A total of 1,146 diabetics from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018 were included in this study. Heavy metal levels were measured via urine testing. Weighted logistic regression, Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS) regression, and restricted cubic spline (RCS) were utilized to investigate the potential relationships between exposure to 10 heavy metals and DR. Finally, subgroup analysis was conducted based on the glycemic control status. Results Among the 1,146 participants, 239 (20.86%) were diagnosed with DR. Those with DR had worse glycemic control and a higher prevalence of chronic kidney disease compared to those without DR. Moreover, both the WQS regression and BKMR models demonstrated a positive relationship between exposure to mixed heavy metals and the risk of DR. The results of weighted logistic regression revealed a positive correlation between cobalt (Co) and antimony (Sb) exposure and the risk of DR (OR = 1.489, 95%CI: 1.064-2.082, p = 0.021; OR = 1.475, 95% CI: 1.084-2.008, p = 0.014), while mercury (Hg) exposure was found to promote DR exclusively in the group with good glycemic control (OR = 1.509, 95% CI: 1.157-1.967, p = 0.003). These findings were corroborated by the results of the RCS analysis. Conclusion Heavy metal exposure is associated with an increased risk of DR, especially Sb, Co, and Hg exposure. Nevertheless, well-designed prospective studies are warranted to validate these findings.
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Affiliation(s)
- Chunren Meng
- Department of Ophthalmology, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China
| | - Chufeng Gu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China
- Department of Ophthalmology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, China
| | - Chunyang Cai
- Department of Ophthalmology, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China
| | - Shuai He
- Department of Ophthalmology, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China
| | - Dongwei Lai
- Department of Ophthalmology, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China
| | - Qinghua Qiu
- Department of Ophthalmology, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China
- Department of Ophthalmology, Shigatse People's Hospital, Shigatse, Xizang, China
- High Altitude Ocular Disease Research Center of Shigatse People's Hospital and Tongren Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Wang Y, Gui J, Howe CG, Emond JA, Criswell RL, Gallagher LG, Huset CA, Peterson LA, Botelho JC, Calafat AM, Christensen B, Karagas MR, Romano ME. Association of diet with per- and polyfluoroalkyl substances in plasma and human milk in the New Hampshire Birth Cohort Study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:173157. [PMID: 38740209 PMCID: PMC11247473 DOI: 10.1016/j.scitotenv.2024.173157] [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: 04/08/2024] [Revised: 05/09/2024] [Accepted: 05/09/2024] [Indexed: 05/16/2024]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are related to various adverse health outcomes, and food is a common source of PFAS exposure. Dietary sources of PFAS have not been adequately explored among U.S. pregnant individuals. We examined associations of dietary factors during pregnancy with PFAS concentrations in maternal plasma and human milk in the New Hampshire Birth Cohort Study. PFAS concentrations, including perfluorohexane sulfonate (PFHxS), perfluorooctane sulfonate (PFOS), perfluorooctanoate (PFOA), perfluorononanoate (PFNA), and perfluorodecanoate (PFDA), were measured in maternal plasma collected at ∼28 gestational weeks and human milk collected at ∼6 postpartum weeks. Sociodemographic, lifestyle and reproductive factors were collected from prenatal questionnaires and diet from food frequency questionnaires at ∼28 gestational weeks. We used adaptive elastic net (AENET) to identify important dietary variables for PFAS concentrations. We used multivariable linear regression to assess associations of dietary variables selected by AENET models with PFAS concentrations. Models were adjusted for sociodemographic, lifestyle, and reproductive factors, as well as gestational week of blood sample collection (plasma PFAS), postpartum week of milk sample collection (milk PFAS), and enrollment year. A higher intake of fish/seafood, eggs, coffee, or white rice during pregnancy was associated with higher plasma or milk PFAS concentrations. For example, every 1 standard deviation (SD) servings/day increase in egg intake during pregnancy was associated with 4.4 % (95 % CI: 0.6, 8.4), 3.3 % (0.1, 6.7), and 10.3 % (5.6, 15.2) higher plasma PFOS, PFOA, and PFDA concentrations respectively. Similarly, every 1 SD servings/day increase in white rice intake during pregnancy was associated with 7.5 % (95 % CI: -0.2, 15.8) and 12.4 % (4.8, 20.5) greater milk PFOS and PFOA concentrations, respectively. Our study suggests that certain dietary factors during pregnancy may contribute to higher PFAS concentrations in maternal plasma and human milk, which could inform interventions to reduce PFAS exposure for both birthing people and offspring.
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Affiliation(s)
- Yuting Wang
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA.
| | - Jiang Gui
- Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Caitlin G Howe
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Jennifer A Emond
- Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Rachel L Criswell
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA; Skowhegan Family Medicine, Redington-Fairview General Hospital, Skowhegan, ME 04976, USA
| | - Lisa G Gallagher
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Carin A Huset
- Minnesota Department of Health, St. Paul, MN 55101, USA
| | - Lisa A Peterson
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, MN 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Julianne Cook Botelho
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Brock Christensen
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Margaret R Karagas
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Megan E Romano
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
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18
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Yu YJ, Zheng T, Perret JL, Han Y, Li H, Meng W, Bui D, Wu QZ, Dong C, Fang QL, Li Z, Kuang H, Chen X, Xiang M, Qin X, Dharmage SC, Dong GH, Zhou Y. Comprehensive analysis of environmental exposure to hazardous trace elements and lung function: a national cross-sectional study. Thorax 2024; 79:615-623. [PMID: 38388490 DOI: 10.1136/thorax-2022-219839] [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: 11/11/2022] [Accepted: 02/01/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND There is growing interest in the joint effects of hazardous trace elements (HTEs) on lung function deficits, but the data are limited. This is a critical research gap given increased global industrialisation. METHODS A national cross-sectional study including spirometry was performed among 2112 adults across 11 provinces in China between 2020 and 2021. A total of 27 HTEs were quantified from urine samples. Generalised linear models and quantile-based g-computation were used to explore the individual and joint effects of urinary HTEs on lung function, respectively. RESULTS Overall, there were negative associations between forced expiratory volume in 1 s (FEV1) and urinary arsenic (As) (z-score coefficient, -0.150; 95% CI, -0.262 to -0.038 per 1 ln-unit increase), barium (Ba) (-0.148, 95% CI: -0.258 to -0.039), cadmium (Cd) (-0.132, 95% CI: -0.236 to -0.028), thallium (Tl) (-0.137, 95% CI: -0.257 to -0.018), strontium (Sr) (-0.147, 95% CI: -0.273 to -0.022) and lead (Pb) (-0.121, 95% CI: -0.219 to -0.023). Similar results were observed for forced vital capacity (FVC) with urinary As, Ba and Pb and FEV1/FVC with titanium (Ti), As, Sr, Cd, Tl and Pb. We found borderline associations between the ln-quartile of joint HTEs and decreased FEV1 (-20 mL, 95% CI: -48 to +8) and FVC (-14 mL, 95% CI: -49 to+2). Ba and Ti were assigned the largest negative weights for FEV1 and FVC within the model, respectively. CONCLUSION Our study investigating a wide range of HTEs in a highly polluted setting suggests that higher urinary HTE concentrations are associated with lower lung function, especially for emerging Ti and Ba, which need to be monitored or regulated to improve lung health.
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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, Guangdong, 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, Guangdong, China
| | - Jennifer L Perret
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Respiratory and Sleep Medicine, Austin Hospital, Melbourne, Victoria, Australia
| | - Yajing Han
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Hongyan Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Wenjie Meng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Dinh Bui
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Qi-Zhen Wu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Chenyin Dong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Qiu-Ling Fang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Zhenchi Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Hongxuan Kuang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Xiaowen Chen
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Mingdeng Xiang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong, China
| | - Xiaodi Qin
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Shyamali C Dharmage
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, Sun Yat-Sen University, Guangzhou, Guangdong, 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, Guangdong, China
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, Sun Yat-Sen University, Guangzhou, Guangdong, China
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Panghal A, Thakur A, Deore MS, Goyal M, Singh C, Kumar J. Multimetal exposure: Challenges in diagnostics, prevention, and treatment. J Biochem Mol Toxicol 2024; 38:e23745. [PMID: 38769715 DOI: 10.1002/jbt.23745] [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: 09/11/2023] [Revised: 12/20/2023] [Accepted: 05/09/2024] [Indexed: 05/22/2024]
Abstract
Extensive use of heavy metals has posed a serious concern for ecosystem and human too. Heavy metals are toxic in nature and their accumulation in human body causes serious disorders such as neurological disease, cardiac disease, gastrointestinal problems, skin disorders, reproductive disease, lungs diseases, and so on. Furthermore, heavy metals not only affect the human health but also have a negative impact on the economy. In the current review, we have elaborated the impact of heavy metal exposure on human health and socioeconomics. We have discussed the molecular mechanism involved in the heavy metal-induced human disorders such as oxidative stress, neuroinflammation, and protein misfolding. Finally, we discussed the preventive measure and treatment strategy that could counter the negative effects of heavy metal intoxications. In conclusion, there is a substantial correlation between heavy metals and the onset and advancement of several health issues. Chelation treatment could be a useful tactic to lessen the toxic metal load and the difficulties that come with it.
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Affiliation(s)
- Archna Panghal
- Department of Pharmacology and Toxicology, Facility for Risk Assessment and Intervention Studies, National Institute of Pharmaceutical Education and Research, SAS Nagar, India
| | - Ashima Thakur
- Department of Pharmaceutical Sciences, ICFAI University, Solan, India
| | - Monika S Deore
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER-R), Raebareli, India
| | - Manoj Goyal
- Department of Pharmaceutical Sciences, Hemwati Nandan Bahuguna Garhwal University (A Central University), Srinagar, India
| | - Charan Singh
- Department of Pharmaceutical Sciences, Hemwati Nandan Bahuguna Garhwal University (A Central University), Srinagar, India
| | - Jayant Kumar
- Department of Pharmaceutical Sciences, Hemwati Nandan Bahuguna Garhwal University (A Central University), Srinagar, India
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Zangiabadian M, Jolfayi AG, Nejadghaderi SA, Amirkhosravi L, Sanjari M. The association between heavy metal exposure and obesity: A systematic review and meta-analysis. J Diabetes Metab Disord 2024; 23:11-26. [PMID: 38932800 PMCID: PMC11196503 DOI: 10.1007/s40200-023-01307-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 09/05/2023] [Indexed: 06/28/2024]
Abstract
Background Obesity and metabolic syndrome are global health concerns associated with development of different types of diseases and serious health threats in the long term. Their metabolic imbalance can be attributable to inherited and environmental factors. As a considerable environmental agent, heavy metals exposure can predispose individuals to diseases like obesity. This systematic review and meta-analysis aimed to evaluate the association between heavy metals exposure and the risk of obesity. Methods PubMed/MEDLINE, EMBASE and Web of Science were systematically searched until December 17, 2022. Only observational studies that evaluated heavy metals exposure and obesity were included. Studies were excluded if they assessed maternal or prenatal exposure, the mixture of heavy metals and other chemicals, reported the association with overweight or other diseases, and undesirable study designs. The Joanna Briggs Institute checklist was used for quality assessment. The pooled adjusted odds ratio (aOR) and the pooled standardized mean difference (SMD) with their 95% confidence intervals (CIs) were calculated, respectively. The publication bias was evaluated using Egger's and Begg's tests. Results Twenty studies (n = 127755), four case-control and sixteen analytical cross-sectional studies, were included. Lead exposure was significantly associated with a lower risk of obesity (aOR: 0.705, 95% CI: 0.498-0.997), while mercury (aOR: 1.458, 95% CI: 1.048-2.031) and barium (aOR: 1.439, 95% CI: 1.142-1.813) exposure increased the risk of obesity. No significant publication bias was found and the studies had a low risk of bias. Conclusion Overall, lead exposure reduced obesity risk, while mercury and barium exposure raised it. Further large-scale observational studies are recommended to determine the roles of heavy metals in obesity.Study registration ID: CRD42023394865. Supplementary information The online version contains supplementary material available at 10.1007/s40200-023-01307-0.
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Affiliation(s)
- Moein Zangiabadian
- Endocrinology and Metabolism Re-Search Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | | | - Seyed Aria Nejadghaderi
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Ladan Amirkhosravi
- Endocrinology and Metabolism Re-Search Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | - Mojgan Sanjari
- Endocrinology and Metabolism Re-Search Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
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Odediran A, Obeng-Gyasi E. Association between Combined Metals and PFAS Exposure with Dietary Patterns: A Preliminary Study. ENVIRONMENTS 2024; 11:127. [PMID: 39139369 PMCID: PMC11321592 DOI: 10.3390/environments11060127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Background The global burden of chronic diseases has been increasing, with evidence suggesting that diet and exposure to environmental pollutants, such as per- and polyfluoroalkyl substances (PFAS) and heavy metals, may contribute to their development. The Dietary Inflammatory Index (DII) assesses the inflammatory potential of an individual's diet. However, the complex interplay between PFAS, heavy metals, and DII remains largely unexplored. Objective The goal of this cross-sectional study was to investigate the associations between diet operationalized as the DII with individual and combined lead, cadmium, mercury, perfluorooctanoic acid (PFOA), and perfluorooctanesulfonic acid (PFOS) exposures using data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018. Methods Descriptive statistics, a correlational analysis, and linear regression were initially used to assess the relationship between the variables of interest. We subsequently employed Bayesian kernel Machine regression (BKMR) to analyze the data to assess the non-linear, non-additive, exposure-response relationships and interactions between PFAS and metals with the DII. Results The multi-variable linear regression revealed significant associations between the DII and cadmium and mercury. Our BKMR analysis revealed a complex relationship between PFAS, metal exposures, and the DII. In our univariate exposure-response function plot, cadmium and mercury exhibited a positive and negative linear relationship, respectively, which indicated a positive and negative relationship across the spectrum of exposures with the DII. In addition, the bivariate exposure-response function between two exposures in a mixture revealed that cadmium had a robust positive relationship with the DII for different quantiles of lead, mercury, PFOA, and PFOS, indicating that increasing levels of cadmium are associated with the DII. Mercury's bivariate plot demonstrated a negative relationship across all quantiles for all pollutants. Furthermore, the posterior inclusion probability (PIP) results highlighted the consistent importance of cadmium and mercury with the inflammatory potential of an individual's diet, operationalized as the DII in our study, with both showing a PIP of 1.000. This was followed by PFOS with a PIP of 0.8524, PFOA at 0.5924, and lead, which had the lowest impact among the five environmental pollutants, with a PIP of 0.5596. Conclusion Our study suggests that exposures to environmental metals and PFAS, particularly mercury and cadmium, are associated with DII. These findings also provide evidence of the intricate relationships between PFAS, heavy metals, and the DII. The findings underscore the importance of considering the cumulative effects of multi-pollutant exposures. Future research should focus on elucidating the mechanistic pathways and dose-response relationships underlying these associations in a study that examines causality, which will enable a deeper understanding of the dietary risks associated with environmental pollutants.
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Affiliation(s)
- Augustina Odediran
- Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA
- Environmental Health and Disease Laboratory, North Carolina A&T State University, Greensboro, NC 27411, USA
| | - Emmanuel Obeng-Gyasi
- Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA
- Environmental Health and Disease Laboratory, North Carolina A&T State University, Greensboro, NC 27411, USA
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22
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Liang Z, Sun X, Guo R, Wang H, Tian Y, Wang Y, Liu Y, Liu S. Association between glyphosate exposure and osteoarthritis in US adults: Especially in people who are obese and inactive in leisure time physical activity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172008. [PMID: 38547993 DOI: 10.1016/j.scitotenv.2024.172008] [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: 12/10/2023] [Revised: 03/16/2024] [Accepted: 03/25/2024] [Indexed: 04/09/2024]
Abstract
OBJECTIVE Little has been known on the effect of chronic glyphosate exposure on osteoarthritis (OA). The aim of this study was to investigate the association between glyphosate exposure and OA and to further investigate the different moderating effects of leisure time physical activity (LTPA) and body mass index (BMI) types on the association between glyphosate exposure and OA. METHODS Cross-sectional data from 2540 participants in the 2015-2018 National Health and Nutrition Examination Survey (NHANES) were used to explore the association between glyphosate exposure and OA. Multivariate logistic regression models and restricted cubic spline models were used to investigate the association between glyphosate exposure and OA, and further analyses were conducted to determine the association between glyphosate exposure and OA under different LTPA and BMI types. RESULTS Of the 2540 participants, 346 had OA. Participants with the highest glyphosate concentration (Q4) had a higher incidence of OA compared to participants with the lowest glyphosate concentration (Q1) (OR, 1.88; 95 % confidence interval [CI]: 1.13, 3.13), there was no nonlinear association between glyphosate and OA (non-linear P = 0.343). In the no LTPA group, glyphosate concentration in the Q4 group was correlated with OA (OR, 2.65; 95%CI: 1.27, 5.51). In the obese group, glyphosate concentration in the Q4 group was correlated with OA (OR, 2.74; 95 % CI: 1.48, 5.07). Among people with high BMI and inactive in LTPA, glyphosate concentrations in Q4 were associated with OA (OR, 2.19; 95 % CI: 1.07, 4.48). CONCLUSIONS Glyphosate is associated with OA odd, and physical activity and moderate weight loss can mitigate this association to some degree. This study provides a scientific basis for rational prevention of OA by regulation of LTPA and BMI under glyphosate exposure.
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Affiliation(s)
- Zhuoshuai Liang
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China
| | - Xiaoyue Sun
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China
| | - Ruifang Guo
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China
| | - Hongwei Wang
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China
| | - Yuyang Tian
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China
| | - Yujian Wang
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China
| | - Yawen Liu
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China.
| | - Siyu Liu
- Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun 130021, China.
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Cheng Z, Kong Y, Yang W, Xu H, Tang D, Zuo Y. Association between serum copper and blood glucose: a mediation analysis of inflammation indicators in the NHANES (2011-2016). Front Public Health 2024; 12:1401347. [PMID: 38855446 PMCID: PMC11157037 DOI: 10.3389/fpubh.2024.1401347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 05/07/2024] [Indexed: 06/11/2024] Open
Abstract
Background The rising prevalence of diabetes underscores the need for identifying effective prevention strategies. Recent research suggests environmental factors, particularly heavy metals like copper, significantly influence health outcomes, including diabetes, through mechanisms involving inflammation and oxidative stress. This study aims to explore how serum copper levels affect blood glucose, employing NHANES data from 2011 to 2016, to provide insights into environmental health's role in diabetes prevention and management. Methods The study analyzed data from 2,318 NHANES participants across three cycles (2011-2016), focusing on those with available data on serum copper, inflammatory markers, and blood glucose levels. We utilized principal component analysis for selecting inflammatory markers, mediation analysis to examine direct and indirect effects, multiple linear regression for assessing relationships between markers and glucose levels, and weighted quantile sum regression for evaluating individual and collective marker effects, adjusting for demographic variables and serum copper. Results Participants averaged 42.70 years of age, with a near-even split between genders. Average serum copper was 119.50 μg/dL, white blood cell count 6.82 × 109/L, and fasting blood glucose 107.10 mg/dL. Analyses identified significant mediation by inflammatory markers (especially white blood cells: 39.78%) in the copper-blood glucose relationship. Regression analyses highlighted a positive correlation between white blood cells (estimate: 1.077, 95% CI: 0.432 to 2.490, p = 0.013) and copper levels and a negative correlation for monocyte percentage (estimate: -1.573, 95% CI: 0.520 to -3.025, p = 0.003). Neutrophil percentage was notably influential in glucose levels. Sensitive analyses confirmed the study's findings. Conclusion Serum copper levels significantly impact blood glucose through inflammatory marker mediation, highlighting the importance of considering environmental factors in diabetes management and prevention. These findings advocate for public health interventions and policies targeting environmental monitoring and heavy metal exposure reduction, emphasizing the potential of environmental health measures in combating diabetes incidence.
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Affiliation(s)
- Zijing Cheng
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yuzhe Kong
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Wenqi Yang
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Haitao Xu
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Decheng Tang
- Department of Management Science, School of Management, Fudan University, Shanghai, China
| | - Yu Zuo
- Third Xiangya Hospital, Central South University, Changsha, China
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Yang X, Li L, Nie L. Associations between co‑exposure to heavy metals and vertebral compression fracture, as well as femoral neck bone mineral density: A cross-sectional study from NHANES data. PLoS One 2024; 19:e0303418. [PMID: 38776301 PMCID: PMC11111051 DOI: 10.1371/journal.pone.0303418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/06/2024] [Indexed: 05/24/2024] Open
Abstract
OBJECTIVE Accumulating evidence showed that exposure to heavy metals was harmful to human health. Little is known regarding the mixing effects of multiple metal exposures on vertebral compression fracture (VCF) and femoral neck bone mineral density (BMD). This study aimed to explore the individual and joint effects of four heavy metals [manganese (Mn), lead (Pb), cadmium (Cd) and mercury (Hg)] on VCF risk and femoral neck BMD. METHODS This cross-sectional study included 1,007 eligible individuals with vertebral fractures from National Health and Nutrition Examination Survey 2013-2014. The outcome was the risk of VCF and femoral neck BMD. Weighted multivariate logistic regression was used to explore the individual effect of four heavy metals on the VCF risk, separately. Weighted multivariate linear regression was used to explore the individual effect of four heavy metals on the femoral neck BMD, separately. Adopted bayesian kernel machine regression (BKMR) model and quantile-based g computation (qgcomp) to examine the joint effects of four heavy metals on the VCF risk and femoral neck BMD. RESULTS Among the population, 57 individuals developed VCF. After adjusting covariates, we found no statistical differences regarding the individual effects of four heavy metals on the risk of VCF. BKMR model and qgcomp indicated that there were no statistical differences regarding the joint effects between four heavy metals on the VCF risk. In addition, we found that Cd was associated with femoral neck BMD, and an increase in the mixture of heavy metal exposures was associated with a decreased risk of femoral neck BMD. CONCLUSION No significant correlation was observed between co-exposure to Mn, Pb, Cd and Hg and VCF risk. But co-exposure to Mn, Pb, Cd and Hg may be associated with femoral neck BMD.
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Affiliation(s)
- Xurong Yang
- Department of Orthopedic Surgery, Jiangle General Hospital of FuJian Province, Sanming, China
| | - Li Li
- Department of Endocrinology, Jiangle General Hospital of FuJian Province, Sanming, China
| | - Lixiong Nie
- Department of Critical Care Medicine, Jiangle General Hospital of FuJian Province, Sanming, China
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Ichipi-Ifukor PC, Asagba SO, Achuba FI. Co-exposure to Aluminium and Cadmium Mediates Postpartum Maternal Variation in Brain Architecture and Behaviour of Mice; Involvement of Oxido-nitrergic and Cholinergic Mechanisms : Postpartum effects of Aluminium and Cadmium co-exposure in pregnancy. Biol Trace Elem Res 2024:10.1007/s12011-024-04218-0. [PMID: 38777875 DOI: 10.1007/s12011-024-04218-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024]
Abstract
Most research has not been done on the possible relationship between pregnant women's cross-metal exposures and postpartum neuroendocrine functions. The purpose of this study was to look into how co-exposure to aluminium chloride (AlCl3) and cadmium chloride (CdCl2) affected the neuroendocrine and neurometabolic changes in postpartum mice. A total of 24 adult pregnant female mice were used for the study. Group 1 served as control and received neither AlCl3 nor CdCl2 (n=6), group 2 comprised pregnant mice treated with AlCl3 (10mg/kg), group 3 with CdCl2 (1.5mg/kg), group 4 with a combination of AlCl3 (10 mg/kg) and CdCl2 (1.5 mg/kg).Oral treatment of animals was done daily from gestation day 7 to gestation day 20. Upon delivery and weaning on postnatal day 21 (PND 21), behavioural assessment was done on the postpartum mice and immediately followed by sacrifice for assessment of histological and neuroendocrine markers. Our findings revealed that the brain-to-body weight ratio was affected and brain oxidative stress was elevated in mice exposed to AlCl3 and CdCl2 during pregnancy. Given the strong association between postpartum hyperactivity, social interaction index, brain catalase and acetylcholinesterase activity, and the brain/body weight ratio, it is plausible that these effects have played a role in the adverse behavioural abnormalities observed in the postpartum maternal mice. Moreover, it was noted that in certain situations, co-exposures to the metals tended to have opposite effects to single metal exposures.
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Jang H, Choi KH, Cho YM, Han D, Hong YS. Environmental risk score of multiple pollutants for kidney damage among residents in vulnerable areas by occupational chemical exposure in Korea. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:35938-35951. [PMID: 38743333 PMCID: PMC11136836 DOI: 10.1007/s11356-024-33567-5] [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: 11/17/2023] [Accepted: 04/30/2024] [Indexed: 05/16/2024]
Abstract
This study aimed to develop an environmental risk score (ERS) of multiple pollutants (MP) causing kidney damage (KD) in Korean residents near abandoned metal mines or smelters and evaluate the association between ERS and KD by a history of occupational chemical exposure (OCE). Exposure to MP, consisting of nine metals, four polycyclic aromatic hydrocarbons, and four volatile organic compounds, was measured as urinary metabolites. The study participants were recruited from the Forensic Research via Omics Markers (FROM) study (n = 256). Beta-2-microglobulin (β2-MG), N-acetyl-β-D-glucosaminidase (NAG), and estimated glomerular filtration rate (eGFR) were used as biomarkers of KD. Bayesian kernel machine regression (BKMR) was selected as the optimal ERS model with the best performance and stability of the predicted effect size among the elastic net, adaptive elastic net, weighted quantile sum regression, BKMR, Bayesian additive regression tree, and super learner model. Variable importance was estimated to evaluate the effects of metabolites on KD. When stratified with the history of OCE after adjusting for several confounding factors, the risks for KD were higher in the OCE group than those in the non-OCE group; the odds ratio (OR; 95% CI) for ERS in non-OCE and OCE groups were 2.97 (2.19, 4.02) and 6.43 (2.85, 14.5) for β2-MG, 1.37 (1.01, 1.86) and 4.16 (1.85, 9.39) for NAG, and 4.57 (3.37, 6.19) and 6.44 (2.85, 14.5) for eGFR, respectively. We found that the ERS stratified history of OCE was the most suitable for evaluating the association between MP and KD, and the risks were higher in the OCE group than those in the non-OCE group.
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Affiliation(s)
- Hyuna Jang
- Department of Environmental Science, Baylor University, Waco, TX, USA
| | - Kyung-Hwa Choi
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Republic of Korea.
| | - Yong Min Cho
- Institute of Environmental Health, Seokyeong University, Seoul, Republic of Korea
- Department of Environmental Chemical Engineering, Seokyeong University, Seoul, Republic of Korea
| | - Dahee Han
- Institute of Environmental Health, Seokyeong University, Seoul, Republic of Korea
- Department of Environmental Chemical Engineering, Seokyeong University, Seoul, Republic of Korea
| | - Young Seoub Hong
- Department of Preventive Medicine, Dong-A University College of Medicine, Busan, Republic of Korea
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Blaustein JR, Quisel MJ, Hamburg NM, Wittkopp S. Environmental Impacts on Cardiovascular Health and Biology: An Overview. Circ Res 2024; 134:1048-1060. [PMID: 38662864 PMCID: PMC11058466 DOI: 10.1161/circresaha.123.323613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
Environmental stressors associated with human activities (eg, air and noise pollution, light disturbance at night) and climate change (eg, heat, wildfires, extreme weather events) are increasingly recognized as contributing to cardiovascular morbidity and mortality. These harmful exposures have been shown to elicit changes in stress responses, circadian rhythms, immune cell activation, and oxidative stress, as well as traditional cardiovascular risk factors (eg, hypertension, diabetes, obesity) that promote cardiovascular diseases. In this overview, we summarize evidence from human and animal studies of the impacts of environmental exposures and climate change on cardiovascular health. In addition, we discuss strategies to reduce the impact of environmental risk factors on current and future cardiovascular disease burden, including urban planning, personal monitoring, and mitigation measures.
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Affiliation(s)
- Jacob R. Blaustein
- New York University Grossman School of Medicine, Department of Medicine, Leon H. Charney Division of Cardiology, New York, USA
| | - Matthew J. Quisel
- Department of Medicine, Boston University Chobanian and Avedision School of Medicine
| | - Naomi M. Hamburg
- Section of Vascular Biology, Whitaker Cardiovascular Institute, Chobanian and Avedisian School of Medicine, Boston University, Boston, USA
| | - Sharine Wittkopp
- New York University Grossman School of Medicine, Department of Medicine, Leon H. Charney Division of Cardiology, New York, USA
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Mitra T, Gulati R, Ramachandran K, Rajiv R, Enninga EAL, Pierret CK, Kumari R S, Janardhanan R. Endocrine disrupting chemicals: gestational diabetes and beyond. Diabetol Metab Syndr 2024; 16:95. [PMID: 38664841 PMCID: PMC11046910 DOI: 10.1186/s13098-024-01317-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
Gestational Diabetes Mellitus (GDM) has been on the rise for the last two decades along with the growing incidence of obesity. The ubiquitous use of Endocrine-Disrupting Chemicals (EDCs) worldwide has been associated with this increase in GDM incidence. Epigenetic modifications such as DNA methylation, histone acetylation, and methylation have been associated with prenatal exposure to EDCs. EDC exposure can also drive a sustained disruption of the hypothalamus-pituitary-thyroid axis and various other signaling pathways such as thyroid signaling, PPARγ signaling, PI3K-AKT signaling. This disruption leads to impaired glucose metabolism, insulin resistance as well as β-cell dysfunction, which culminate into GDM. Persistent EDC exposure in pregnant women also increases adipogenesis, which results in gestational weight gain. Importantly, pregnant mothers transfer these EDCs to the fetus via the placenta, thus leading to other pregnancy-associated complications such as intrauterine growth restriction (IUGR), and large for gestational age neonates. Furthermore, this early EDC exposure of the fetus increases the susceptibility of the infant to metabolic diseases in early life. The transgenerational impact of EDCs is also associated with higher vascular tone, cognitive aberrations, and enhanced susceptibility to lifestyle disorders including reproductive health anomalies. The review focuses on the impact of environmental toxins in inducing epigenetic alterations and increasing the susceptibility to metabolic diseases during pregnancy needs to be extensively studied such that interventions can be developed to break this vicious cycle. Furthermore, the use of EDC-associated ExomiRs from the serum of patients can help in the early diagnosis of GDM, thereby leading to triaging of patients based on increasing risk factor of the clinicopathological condition.
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Affiliation(s)
- Tridip Mitra
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Richa Gulati
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Krithika Ramachandran
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Rohan Rajiv
- Dietrich School of Arts and Sciences, University of Pittsburgh, 15260, Pittsburgh, PA, USA
| | | | - Chris K Pierret
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA
| | - Sajeetha Kumari R
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Rajiv Janardhanan
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India.
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Tain YL, Hsu CN. The Impact of the Aryl Hydrocarbon Receptor on Antenatal Chemical Exposure-Induced Cardiovascular-Kidney-Metabolic Programming. Int J Mol Sci 2024; 25:4599. [PMID: 38731818 PMCID: PMC11083012 DOI: 10.3390/ijms25094599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 04/18/2024] [Accepted: 04/20/2024] [Indexed: 05/13/2024] Open
Abstract
Early life exposure lays the groundwork for the risk of developing cardiovascular-kidney-metabolic (CKM) syndrome in adulthood. Various environmental chemicals to which pregnant mothers are commonly exposed can disrupt fetal programming, leading to a wide range of CKM phenotypes. The aryl hydrocarbon receptor (AHR) has a key role as a ligand-activated transcription factor in sensing these environmental chemicals. Activating AHR through exposure to environmental chemicals has been documented for its adverse impacts on cardiovascular diseases, hypertension, diabetes, obesity, kidney disease, and non-alcoholic fatty liver disease, as evidenced by both epidemiological and animal studies. In this review, we compile current human evidence and findings from animal models that support the connection between antenatal chemical exposures and CKM programming, focusing particularly on AHR signaling. Additionally, we explore potential AHR modulators aimed at preventing CKM syndrome. As the pioneering review to present evidence advocating for the avoidance of toxic chemical exposure during pregnancy and deepening our understanding of AHR signaling, this has the potential to mitigate the global burden of CKM syndrome in the future.
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Affiliation(s)
- You-Lin Tain
- Division of Pediatric Nephrology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan;
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Chien-Ning Hsu
- Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan
- School of Pharmacy, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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Yao X, Jiang M, Dong Y, Wen J, Jiang H. Association between exposure to multiple metals and stress urinary incontinence in women: a mixture approach. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:149. [PMID: 38578493 DOI: 10.1007/s10653-024-01929-0] [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: 10/13/2023] [Accepted: 02/20/2024] [Indexed: 04/06/2024]
Abstract
There is limited evidence linking exposure to heavy metals, especially mixed metals, to stress urinary incontinence (SUI). This study aimed to explore the relationship between multiple metals exposure and SUI in women. The data were derived from the National Health and Nutrition Examination Survey (NHANES), 2007-2020. In the study, a total of 13 metals were analyzed in blood and urine. In addition, 5155 adult women were included, of whom 2123 (41.2%) suffered from SUI. The logistic regression model and restricted cubic spline (RCS) were conducted to assess the association of single metal exposure with SUI risk. The Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) were used to estimate the combined effect of multiple metals exposure on SUI. First, we observed that blood Pb, Hg and urinary Pb, Cd were positively related to SUI risk, whereas urinary W was inversely related by multivariate logistic regression (all p-FDR < 0.05). Additionally, a significant non-linear relationship between blood Hg and SUI risk was observed by RCS analysis. In the co-exposure models, WQS model showed that exposure to metal mixtures in blood [OR (95%CI) = 1.18 (1.06, 1.31)] and urine [OR (95%CI) = 1.18 (1.03, 1.34)] was positively associated with SUI risk, which was consistent with the results of BKMR model. A potential interaction was identified between Hg and Cd in urine. Hg and Cd were the main contributors to the combined effects. In summary, our study indicates that exposure to heavy metal mixtures may increase SUI risk in women.
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Affiliation(s)
- Xiaodie Yao
- Department of Obstetrics and Gynaecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, Jiangsu, People's Republic of China
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Mei Jiang
- Department of Obstetrics and Gynaecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, Jiangsu, People's Republic of China
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Yunyun Dong
- Department of Obstetrics and Gynaecology, Lishui Maternal and Child Health Hospital of Nanjing, Lishui District, Nanjing, 211299, Jiangsu, People's Republic of China
| | - Juan Wen
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Hua Jiang
- Department of Obstetrics and Gynaecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, Jiangsu, People's Republic of China.
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Wang C, Shang X, Fu Y, Guo P, Wang P, Yan S. Investigating the impact of elevated urinary trace elements on non-alcoholic fatty liver disease using vibration-controlled transient elastography. Front Endocrinol (Lausanne) 2024; 15:1310044. [PMID: 38532896 PMCID: PMC10963415 DOI: 10.3389/fendo.2024.1310044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/19/2024] [Indexed: 03/28/2024] Open
Abstract
Introduction Non-alcoholic fatty liver disease (NAFLD) is a global public health concern. However, limited data are available on urinary trace elements and NAFLD caused by various exposure factors. This study aimed to investigate the relationship between the presence of 16 trace elements in urine and NAFLD using data from the National Health and Nutrition Examination Survey (NHANES). Methods By utilizing the NHANES data from 2017 to 2018, 1613 participants who fulfilled the research criteria were identified from the initial pool of 2979 participants with available urine trace element detection data. Among them, 706 individuals had been diagnosed with NAFLD based on a coefficient of attenuation parameter (CAP) value of at least 274 db/m, determined using vibration-controlled transient elastography (VCTE); whereas the remaining 907 participants were classified as non-NAFLD. The data obtained were used to construct univariate and multivariate logistic regression models and restricted cubic spline models (RCS) analyses. Results The presence of arsenic, iodine, barium, cesium, molybdenum, lead, tin, and tungsten in the urine of individuals with NAFLD showed a positive correlation with the likelihood of developing NAFLD. The risk of NAFLD had a non-linear dose-dependent relationship with urinary iodine, molybdenum, barium, and cesium. NAFLD was also associated with elevated levels of barium and cesium in urine, which were identified as significant risk factors. Conclusion These findings suggest a positive association between exposure to trace elements in the urine and the risk of NAFLD. Specifically, urinary barium and cesium appeared to have the greatest impact on the risk of NAFLD. These results provide novel insights into the diagnosis and treatment of NAFLD.
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Affiliation(s)
- Chenxiao Wang
- Department of Gastroenterology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Xin Shang
- Department of Endocrinology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Yu Fu
- Department of Endocrinology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Panpan Guo
- Department of Endocrinology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Ping Wang
- Department of Endocrinology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Shuxun Yan
- Department of Endocrinology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
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Chen X, Li P, Huang Y, Lv Y, Xu X, Nong H, Zhang L, Wu H, Yu C, Chen L, Liu D, Wei L, Zhang H. Joint associations among non-essential heavy metal mixtures and nutritional factors on glucose metabolism indexes in US adults: evidence from the NHANES 2011-2016. Food Funct 2024; 15:2706-2718. [PMID: 38376466 DOI: 10.1039/d3fo05439j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Dietary intake can modify the impact of metals on human health, and is also closely related to glucose metabolism in human bodies. However, research on their interaction is limited. We used data based on 1738 adults aged ≥20 years from the National Health and Nutrition Examination Survey 2011-2016. We combined linear regression and restricted cubic splines with Bayesian kernel machine regression (BKMR) to identify metals associated with each glucose metabolism index (P < 0.05 and the posterior inclusion probabilities of BKMR >0.5) in eight non-essential heavy metals (barium, cadmium, antimony, tungsten, uranium, arsenic, lead, and thallium) and glucose metabolism indexes [fasting plasma glucose (FPG), blood hemoglobin A1c (HbA1c) and homeostatic model assessment of insulin resistance (HOMA-IR)]. We identified two pairs of metals associated with glucose metabolism indexes: cadmium and tungsten to HbA1c and barium and thallium to HOMA-IR. Then, the cross-validated kernel ensemble (CVEK) approach was applied to identify the specific nutrient group (nutrients) that interacted with the association. By using the CVEK model, we identified significant interactions between the energy-adjusted diet inflammatory index (E-DII) and cadmium, tungsten and barium (all P < 0.05); macro-nutrients and cadmium, tungsten and barium (all P < 0.05); minerals and cadmium, tungsten, barium and thallium (all P < 0.05); and A vitamins and thallium (P = 0.043). Furthermore, a lower E-DII, a lower intake of carbohydrates and phosphorus, and a higher consumption of magnesium seem to attenuate the positive association between metals and glucose metabolism indexes. Our finding identifying the nutrients that interact with non-essential heavy metals could provide a feasible nutritional guideline for the general population to protect against the adverse effects of non-essential heavy metals on glucose metabolism.
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Affiliation(s)
- Xiaolang Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Peipei Li
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Yuanhao Huang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Yingnan Lv
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xia Xu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Huiyun Nong
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Lulu Zhang
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Huabei Wu
- School of General Practice, Guangxi Medical University, Nanning 530021, China
| | - Chao Yu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Lina Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Di Liu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Lancheng Wei
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
| | - Haiying Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, China
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Pan K, Jia H, Chen R, Su C, Wang H, Zhang T, Wu Z. Sex-specific, non-linear and congener-specific association between mixed exposure to polychlorinated biphenyls (PCBs) and diabetes in U.S. adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 272:116091. [PMID: 38340600 DOI: 10.1016/j.ecoenv.2024.116091] [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: 10/30/2023] [Revised: 01/15/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Whether and to what extent the impact of exposure to various polychlorinated biphenyls (PCBs) congeners on diabetes, as well as the important contributors, have remained unclear. OBJECTIVE We aimed to investigate the association patterns between PCBs mixture and diabetes, identify the critical congeners, and explore the potential modifiers. METHODS The present study included 5900 U.S. adults from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2016. Weighted logistic regression, restricted cubic spline regression, weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were applied to estimate the linear and non-linear associations of single and mixed PCB exposure with diabetes. Subgroup analyses were also conducted to explore potential sex differences. RESULTS In the weighted logistic regression model, total PCBs were positively associated with diabetes (OR = 1.33, P < 0.025), and significant non-linear associations were observed using RCS analyses. The non-linear positive association between PCBs mixed exposure and diabetes was likewise found in the WQS and BKMR results. PCB180, PCB194, PCB196, and PCB167 were with the highest weights in the WQS, and PCB209 and PCB66 were with the highest posterior inclusion probabilities in the BKMR. Additionally, exposure to total PCBs and most of individual PCB congeners were significantly associated with elevated risk of in females (OR = 1.74; P for trend < 0.001), while fewer significant associations were observed in males. CONCLUSION The present study highlighted the importance of the long-term surveillance of PCBs and the need to enhance protective measures against them. Notably, these associations were non-linear, congener-specific, and significantly stronger in females than males, especially at relatively high levels of PCBs exposure. Further prospective and mechanistic studies were warranted to ascertain the causal effects between PCBs mixture and diabetes.
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Affiliation(s)
- Keyu Pan
- Department of Biostatistics, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.; Institute for Medical Dataology, Shandong University, Jinan 250012, China
| | - Huixun Jia
- National Clinical Research Center for Ophthalmic Diseases; Department of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Shanghai Key Laboratory of Fundus Diseases, Shanghai, China; School of Public Health, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.; Institute for Medical Dataology, Shandong University, Jinan 250012, China; Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
| | - Zhenyu Wu
- School of Public Health, Fudan University, Shanghai 200032, China.
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Li J, Lai ZG, Huang XH. Association of Thallium with Diabetes Risk among Patients with Hearing Loss: Result from NHANES 2013 to 2018. Medicine (Baltimore) 2024; 103:e37317. [PMID: 38428895 PMCID: PMC10906567 DOI: 10.1097/md.0000000000037317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/30/2024] [Indexed: 03/03/2024] Open
Abstract
To evaluate the correlation between thallium and diabetes risk among participants with hearing loss. This retrospective cohort study extracted related data such as demographic characteristics, lifestyle factors, and laboratory findings from the National Health and Nutrition Examination Survey (NHANES) database (2013-2018). Logistic regression analysis and interaction analysis were adopted to analyze the correlation between thallium and diabetes risk among patients with hearing loss. Then, the restricted cubic spline was employed to assess the nonlinear relationship between thallium and diabetes risk. The receiver operating characteristic curve and decision curve analysis were used to assess the predictive values of 3 multivariate models with or without thallium for diabetes risk. The Delong test was adopted to assess the significant change of the area under the curves (AUCs) upon thallium addition. A total of 425 participants with hearing loss were enrolled in the study: without diabetes group (n = 316) and diabetes group (n = 109). Patients with hearing loss in the diabetes group had significantly lower thallium (P < .05). The thallium was an independent predictor for diabetes risk after adjusting various covariates (P < .05). The restricted cubic spline (RCS) result showed that there was a linear correlation between thallium and diabetes risk (P nonlinear > .05). Finally, the receiver operating characteristic and decision curve analysis results revealed that adding thallium to the models slightly increased the performance in predicting diabetes risk but without significance in AUC change. Thallium was an independent predictor of diabetes risk among patients with hearing loss. The addition of thallium might help improve the predictive ability of models for risk reclassification. However, the conclusions should be verified in our cohort in the future due to the limitations inherent in the NHANES database.
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Affiliation(s)
- Jing Li
- Otolaryngology department, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian, China
| | - Zhi-Gang Lai
- Otolaryngology department, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian, China
| | - Xiao-Hua Huang
- Otolaryngology department, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian, China
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Jang DG, Dou J, Koubek EJ, Teener S, Zhao L, Bakulski KM, Mukherjee B, Batterman SA, Feldman EL, Goutman SA. Metal mixtures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.27.24303143. [PMID: 38464233 PMCID: PMC10925361 DOI: 10.1101/2024.02.27.24303143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background The pathogenesis of amyotrophic lateral sclerosis (ALS) involves both genetic and environmental factors. This study investigates associations between metal measures in plasma and urine, ALS risk and survival, and exposure sources. Methods Participants with and without ALS from Michigan provided plasma and urine samples for metal measurement via inductively coupled plasma mass spectrometry. Odds and hazard ratios for each metal were computed using risk and survival models. Environmental risk scores (ERS) were created to evaluate the association between exposure mixtures and ALS risk and survival and exposure source. ALS (ALS-PGS) and metal (metal-PGS) polygenic risk scores were constructed from an independent genome-wide association study and relevant literature-selected SNPs. Results Plasma and urine samples from 454 ALS and 294 control participants were analyzed. Elevated levels of individual metals, including copper, selenium, and zinc, significantly associated with ALS risk and survival. ERS representing metal mixtures strongly associated with ALS risk (plasma, OR=2.95, CI=2.38-3.62, p<0.001; urine, OR=3.10, CI=2.43-3.97, p<0.001) and poorer ALS survival (plasma, HR=1.42, CI=1.24-1.63, p<0.001; urine, HR=1.52, CI=1.31-1.76, p<0.001). Addition of the ALS-PGS or metal-PGS did not alter the significance of metals with ALS risk and survival. Occupations with high potential of metal exposure associated with elevated ERS. Additionally, occupational and non-occupational metal exposures associated with measured plasma and urine metals. Conclusion Metals in plasma and urine associated with increased ALS risk and reduced survival, independent of genetic risk, and correlated with occupational and non-occupational metal exposures. These data underscore the significance of metal exposure in ALS risk and progression.
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Affiliation(s)
- Dae Gyu Jang
- Department of Neurology, University of Michigan, Ann Arbor, MI
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI
| | - John Dou
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Emily J. Koubek
- Department of Neurology, University of Michigan, Ann Arbor, MI
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI
| | - Samuel Teener
- Department of Neurology, University of Michigan, Ann Arbor, MI
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI
| | - Lili Zhao
- Department of Biostatistics, Corewell Health, Royal Oak, MI
| | | | | | - Stuart A. Batterman
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI
| | - Eva L. Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI
| | - Stephen A. Goutman
- Department of Neurology, University of Michigan, Ann Arbor, MI
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI
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Wang X, Han X, Guo S, Ma Y, Zhang Y. Associations between patterns of blood heavy metal exposure and health outcomes: insights from NHANES 2011-2016. BMC Public Health 2024; 24:558. [PMID: 38389043 PMCID: PMC10882930 DOI: 10.1186/s12889-024-17754-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/11/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Extensive research has explored the association between heavy metal exposure and various health outcomes, including malignant neoplasms, hypertension, diabetes, and heart diseases. This study aimed to investigate the relationship between patterns of exposure to a mixture of seven heavy metals and these health outcomes. METHODS Blood samples from 7,236 adults in the NHANES 2011-2016 studies were analyzed for levels of cadmium, manganese, lead, mercury, selenium, copper, and zinc. Cluster analysis and logistic regression identified three distinct patterns of mixed heavy metal exposure, and their associations with health outcomes were evaluated. RESULTS Pattern 1 exhibited higher odds ratios (ORs) for malignancy during NHANES 2011-2012 (OR = 1.33) and 2015-2016 (OR = 1.29) compared to pattern 2. Pattern 3 showed a lower OR for malignancy during NHANES 2013-2014 (OR = 0.62). For hypertension, pattern 1 displayed higher ORs than pattern 2 for NHANES 2011-2012 (OR = 1.26), 2013-2014 (OR = 1.31), and 2015-2016 (OR = 1.41). Pattern 3 had lower ORs for hypertension during NHANES 2013-2014 (OR = 0.72) and 2015-2016 (OR = 0.67). In terms of heart diseases, pattern 1 exhibited higher ORs than pattern 2 for NHANES 2011-2012 (OR = 1.34), 2013-2014 (OR = 1.76), and 2015-2016 (OR = 1.68). Pattern 3 had lower ORs for heart diseases during NHANES 2013-2014 (OR = 0.59) and 2015-2016 (OR = 0.52). However, no significant trend was observed for diabetes. All three patterns showed the strongest association with hypertension among the health outcomes studied. CONCLUSIONS The identified patterns of seven-metal mixtures in NHANES 2011-2016 were robust. Pattern 1 exhibited higher correlations with hypertension, heart disease, and malignancy compared to pattern 2, suggesting an interaction between these metals. Particularly, the identified patterns could offer valuable insights into the management of hypertension in healthy populations.
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Affiliation(s)
- Xiangyu Wang
- Institute for Hospital Management of Henan Province, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, 450000, China
- Party Committee Office, Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xinhao Han
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Shufang Guo
- Department of Hematology and Oncology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Yujie Ma
- Institute for Hospital Management of Henan Province, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, 450000, China.
| | - Yafeng Zhang
- Institute for Hospital Management of Henan Province, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, 450000, China.
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Fernández-Martínez NF, Rodríguez-Barranco M, Huerta JM, Gil F, Olmedo P, Molina-Montes E, Guevara M, Zamora-Ros R, Jiménez-Zabala A, Colorado-Yohar SM, Ardanaz E, Bonet C, Amiano P, Chirlaque MD, Pérez-Gómez B, Jiménez-Moleón JJ, Martín-Jiménez M, de Santiago E, Sánchez MJ. Breast cancer risk for the joint exposure to metals and metalloids in women: Results from the EPIC-Spain cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168816. [PMID: 38036124 DOI: 10.1016/j.scitotenv.2023.168816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 11/21/2023] [Accepted: 11/21/2023] [Indexed: 12/02/2023]
Abstract
Environmental factors play a role in breast cancer development. While metals and metalloids (MMs) include some carcinogens, their association with breast cancer depends on the element studied. Most studies focus on individual MMs, but the combined effects of metal mixtures remain unclear. The aim of this study was to analyze the relationship between the joint exposure to MMs and the risk of developing female breast cancer. We conducted a case-control study within the multicenter prospective EPIC-Spain cohort. Study population comprised 292 incident cases and 286 controls. Plasma concentrations of 16 MMs were quantified at recruitment. Potential confounders were collected using a questionnaire and anthropometric measurements. Mixed-effects logistic regression models were built to explore the effect of individual MMs. Quantile-based g computation models were applied to identify the main mixture components and to estimate the joint effect of the metal mixture. The geometric means were highest for Cu (845.6 ng/ml) and Zn (604.8 ng/ml). Cases had significantly higher Cu concentrations (p = 0.010) and significantly lower Zn concentrations (p < 0.001). Cu (+0.42) and Mn (+0.13) showed the highest positive weights, whereas Zn (-0.61) and W (-0.16) showed the highest negative weights. The joint effect of the metal mixture was estimated at an OR = 4.51 (95%CI = 2.32-8.79), suggesting a dose-response relationship. No evidence of non-linearity or non-additivity was found. An unfavorable exposure profile, primarily characterized by high Cu and low Zn levels, could lead to a significant increase in the risk of developing female breast cancer. Further studies are warranted to confirm these findings.
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Affiliation(s)
- Nicolás Francisco Fernández-Martínez
- Instituto de Investigación Biosanitaria ibs, GRANADA, 18012 Granada, Spain; Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Miguel Rodríguez-Barranco
- Instituto de Investigación Biosanitaria ibs, GRANADA, 18012 Granada, Spain; Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
| | - José María Huerta
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, 30008 Murcia, Spain
| | - Fernando Gil
- Department of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain
| | - Pablo Olmedo
- Department of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain
| | - Esther Molina-Montes
- Instituto de Investigación Biosanitaria ibs, GRANADA, 18012 Granada, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Nutrition and Food Science, University of Granada, 18011 Granada, Spain; Institute of Nutrition and Food Technology (INYTA) 'Jose Mataix', Biomedical Research Center, University of Granada, 18071 Granada, Spain
| | - Marcela Guevara
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Instituto de Salud Pública y Laboral de Navarra, 31003 Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Raúl Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), 08908 Bellvitge, Spain; Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain
| | - Ana Jiménez-Zabala
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain; BioGipuzkoa Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, 20014 San Sebastián, Spain
| | - Sandra Milena Colorado-Yohar
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, 30008 Murcia, Spain; Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Eva Ardanaz
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Instituto de Salud Pública y Laboral de Navarra, 31003 Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), 08908 Bellvitge, Spain; Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain
| | - Pilar Amiano
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain; BioGipuzkoa Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, 20014 San Sebastián, Spain
| | - María Dolores Chirlaque
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, 30008 Murcia, Spain
| | - Beatriz Pérez-Gómez
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Epidemiology for Chronic Diseases, National Center of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
| | - José Juan Jiménez-Moleón
- Instituto de Investigación Biosanitaria ibs, GRANADA, 18012 Granada, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Legal Medicine and Toxicology, University of Granada, 18016 Granada, Spain
| | - Miguel Martín-Jiménez
- Hospital Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Universidad Complutense, 28007 Madrid, Spain; GEICAM, Spanish Breast Cancer Group, 28703 Madrid, Spain; Consorcio de Investigación Biomédica en Red de Oncología (CIBERONC), 28029 Madrid, Spain
| | - Esperanza de Santiago
- GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, 18016 Granada, Spain
| | - María-José Sánchez
- Instituto de Investigación Biosanitaria ibs, GRANADA, 18012 Granada, Spain; Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Department of Legal Medicine and Toxicology, University of Granada, 18016 Granada, Spain
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Huang Q, Wan J, Nan W, Li S, He B, Peng Z. Association between manganese exposure in heavy metals mixtures and the prevalence of sarcopenia in US adults from NHANES 2011-2018. JOURNAL OF HAZARDOUS MATERIALS 2024; 464:133005. [PMID: 37988867 DOI: 10.1016/j.jhazmat.2023.133005] [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: 08/12/2023] [Revised: 10/10/2023] [Accepted: 11/12/2023] [Indexed: 11/23/2023]
Abstract
Environmental pollution is identified as an essential risk factor for sarcopenia. However, the effect of manganese (Mn) exposure on the prevalence of sarcopenia is not assessed. Our study investigated the correlation between blood Mn concentration and sarcopenia risk in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Three statistical methods were used to assess these correlations. Mediation analysis was performed to explore the role of inflammation in Mn exposure-induced sarcopenia. Of the 4957 individuals enrolled in this study, 398 (8 %) were diagnosed with sarcopenia. We found a positive association between the log10 Mn concentration and the prevalence of sarcopenia in the logistic regression model. Moreover, heavy metals mixtures were positively correlated with the prevalence of sarcopenia, with Mn identified as the main contributor to this association in the weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models. Furthermore, inflammation mediated the relationship between Mn exposure and the prevalence of sarcopenia, explaining 7.29 % of the effect (odds ratio: 0.03, 0.19, P = 0.002). Thus, our study results revealed that excessive Mn exposure is a contributing factor for sarcopenia. More prospective studies are required to examine the association between Mn exposure and the prevalence of sarcopenia.
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Affiliation(s)
- Qiong Huang
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Department of Geriatric Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Jinfa Wan
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha 410011, China
| | - Wenbin Nan
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha 410011, China
| | - Siqi Li
- Department of Geriatric Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Baimei He
- Department of Geriatric Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Zhenyu Peng
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China; Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha 410011, China.
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Goutman SA, Boss J, Jang DG, Mukherjee B, Richardson RJ, Batterman S, Feldman EL. Environmental risk scores of persistent organic pollutants associate with higher ALS risk and shorter survival in a new Michigan case/control cohort. J Neurol Neurosurg Psychiatry 2024; 95:241-248. [PMID: 37758454 PMCID: PMC11060633 DOI: 10.1136/jnnp-2023-332121] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/05/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a fatal, progressive neurogenerative disease caused by combined genetic susceptibilities and environmental exposures. Identifying and validating these exposures are of paramount importance to modify disease risk. We previously reported that persistent organic pollutants (POPs) associate with ALS risk and survival and aimed to replicate these findings in a new cohort. METHOD Participants with and without ALS recruited in Michigan provided plasma samples for POPs analysis by isotope dilution with triple quadrupole mass spectrometry. ORs for risk models and hazard ratios for survival models were calculated for individual POPs. POP mixtures were represented by environmental risk scores (ERS), a summation of total exposures, to evaluate the association with risk (ERSrisk) and survival (ERSsurvival). RESULTS Samples from 164 ALS and 105 control participants were analysed. Several individual POPs significantly associated with ALS, including 8 of 22 polychlorinated biphenyls and 7 of 10 organochlorine pesticides (OCPs). ALS risk was most strongly represented by the mixture effects of OCPs alpha-hexachlorocyclohexane, hexachlorobenzene, trans-nonachlor and cis-nonachlor and an interquartile increase in ERSrisk enhanced ALS risk 2.58 times (p<0.001). ALS survival was represented by the combined mixture of all POPs and an interquartile increase in ERSsurvival enhanced ALS mortality rate 1.65 times (p=0.008). CONCLUSIONS These data continue to support POPs as important factors for ALS risk and progression and replicate findings in a new cohort. The assessments of POPs in non-Michigan ALS cohorts are encouraged to better understand the global effect and the need for targeted disease risk reduction strategies.
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Affiliation(s)
- Stephen A Goutman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - Jonathan Boss
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Dae-Gyu Jang
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Rudy J Richardson
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Stuart Batterman
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
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Hu WL, Xiao W, Shen WB, Wu YY, Li X, Zhong Q, Li GA, Lu HH, Liu JJ, Zhang ZH, Huang F. Effect of exposures to multiple metals on blood pressure and hypertension in the elderly: a community-based study. Biometals 2024; 37:211-222. [PMID: 37792258 DOI: 10.1007/s10534-023-00543-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/15/2023] [Indexed: 10/05/2023]
Abstract
A chronic disease, hypertension (HTN) is prevalent among the elderly. Exploring the factors that influence HTN and blood pressure (BP) changes is of great public health significance. However, mixed exposure to multiple serum metals has had less research on the effects on BP and HTN for the elderly. From April to August 2019, 2372 people participated in the community physical examination program for the elderly in Tongling City, Anhui Province. We measured BP and serum levels of 10 metals and collected basic demographic information. We analyzed the relationship between metal levels and changes in BP and HTN by the least absolute shrinkage and selection operator regression, Bayesian kernel machine regression model, and generalized linear model. In multiple models, lead (Pb) and cadmium (Cd) were still significantly associated with HTN occurrence after adjusting for potential confounders (Pb: ORquartile 4 VS quartile 1 = 1.20, 95% CI 1.01-1.43; Cd: ORquartile 4 VS quartile 1 = 1.37, 95% CI 1.16-1.62). In the male subgroup, results were similar to those of the general population. In the female group, Cd was positively correlated with HTN and systolic blood pressure, while Pb was not. According to this study, Pb and Cd were correlated with BP and HTN positively, and there was a certain joint effect. To some extent, our findings provide clues for the prevention of hypertension in the elderly.
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Affiliation(s)
- Wen-Lei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Wei Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Wen-Bin Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Yue-Yang Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xue Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Qi Zhong
- Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Guo-Ao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Huan-Huan Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Jian-Jun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Zhi-Hua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
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Jin T, Park EY, Kim B, Oh JK. Environmental exposure to lead and cadmium are associated with triglyceride glucose index. Sci Rep 2024; 14:2496. [PMID: 38291186 PMCID: PMC10827717 DOI: 10.1038/s41598-024-52994-5] [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: 10/05/2023] [Accepted: 01/25/2024] [Indexed: 02/01/2024] Open
Abstract
The triglyceride glucose (TyG) index was suggested as a novel reliable surrogate marker for insulin resistance and related cardiovascular-metabolic diseases. We aimed to evaluate the association between the TyG index and environmental exposure to lead (Pb), mercury (Hg), and cadmium (Cd). A total of 9645 adults who enrolled in the Korea National Health and Nutrition Examination Survey in 2005, 2008-2013, and 2016 were included. Fasting plasma glucose and triglyceride levels were used to calculate the TyG index. Multivariate logistic regression model was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). We noted an increasing trend in the TyG index with increment of blood Pb and Cd concentrations. Participants in the highest quartile of blood Pb and Cd concentrations had higher TyG index values than those in the lowest quartile, with ORs (95% CIs) of 1.32 (1.07-1.63) and 1.29 (1.04-1.59) for Pb and Cd, respectively. Strong associations between blood Pb and Cd concentrations and the TyG index were found in men. Blood Hg concentrations did not show a significant association with the TyG index. Our study suggests that public health strategies for cardiovascular-metabolic disorder prevention should be directed toward individuals exposed to priority heavy metals.
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Affiliation(s)
- Taiyue Jin
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang-si, 10408, Gyeonggi-do, Korea
| | - Eun Young Park
- Department of Preventive Medicine, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea.
| | - Byungmi Kim
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang-si, 10408, Gyeonggi-do, Korea
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, 10408, Gyeonggi-do, Korea
| | - Jin-Kyoung Oh
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang-si, 10408, Gyeonggi-do, Korea
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, 10408, Gyeonggi-do, Korea
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Li X, Bi L, Han L. Associations of five blood heavy metals with hepatitis B virus infection and immunity in adults: a cross-sectional study. BMC Public Health 2024; 24:266. [PMID: 38262984 PMCID: PMC10804536 DOI: 10.1186/s12889-024-17799-1] [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: 08/22/2023] [Accepted: 01/17/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Heavy metal pollution has emerged as a significant concern for human health, prompting increased awareness of its potential adverse effects. While previous research has established a connection between heavy metals and liver function biomarkers, the specific relationship between heavy metals and HBV infection remains unexplored. This cross-sectional study aims to investigate the potential correlations between five blood heavy metals - lead, cadmium, mercury, manganese, and selenium - and the presence of HBsAg, HBsAb, and HBcAb in adults. METHODS The study utilized data from NHANES 2007-2018. Participants were classified into four groups based on their infectious status, and the association between heavy metals and HBV infection was analyzed using multiple logistic regression and stratification analysis. RESULTS A total of 8431 participants were included, with 5 436 classified as Susceptible, 1 765 as Vaccinated, 865 as Natural Infection, and 103 as Acute/Chronic HBV Infection. The Vaccinated group exhibited a lower mean age (34.52 ± 14.16 years) compared to the other groups. Statistically significant differences in heavy metal concentrations (except selenium) were observed among the groups (P < 0.001). After adjusting for covariates, lead was significantly associated with HBV infection (Q2: OR 2.37, 95%CI 1.04-5.39; Q3: OR 2.34, 95%CI 1.01-5.40), and positive trends were observed for high blood concentrations of mercury (Q4: OR 3.03, 95%CI 1.31-7.04) and manganese (Q4: OR 2.52, 95%CI 1.20-5.28). Furtherly, the presence of lead reduced the protection of HBsAb (Q2: OR 0.84, 95%CI 0.73-0.97; Q3: OR 0.77, 95%CI 0.66-0.90; Q4: OR 0.83, 95%CI 0.70-0.98). Subgroup analysis indicated that cadmium was associated with an increased risk of HBV infection in Asians (OR 1.36, 95%CI 1.03-1.78) and individuals with a BMI range of 25 to 30 (OR 1.60, 95%CI 1.17-2.18). CONCLUSIONS The study's findings suggest a correlation between elevated blood Pb concentrations and reduced immunization rates against hepatitis B. Individuals with a positive HBsAg exhibit lower blood Se concentrations and higher blood Hg and Mn concentrations.
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Affiliation(s)
- Xinpeng Li
- Department of Clinical Laboratory, Public Health Clinical Center of Chengdu, Chengdu, 610000, China
| | - Lei Bi
- Department of Clinical Laboratory, Public Health Clinical Center of Chengdu, Chengdu, 610000, China
| | - Lu Han
- Department of Clinical Laboratory, Public Health Clinical Center of Chengdu, Chengdu, 610000, China.
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Zhang Z, Xiao Y, Long P, Yu Y, Liu Y, Liu K, Yang H, Li X, He M, Wu T, Yuan Y. Associations between plasma metal/metalloid mixtures and the risk of central obesity: A prospective cohort study of Chinese adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 270:115838. [PMID: 38128312 DOI: 10.1016/j.ecoenv.2023.115838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/07/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
Central obesity has increased rapidly over the past decade and posed a substantial disease burden worldwide. Exposure to metals/metalloids has been acknowledged to be involved in the development of central obesity through regulation of cortisol, insulin resistance, and glucocorticoid receptor reduction. Despite the importance, it is lack of prospective study which comprehensively evaluate the relations between multiple metals exposure and central obesity. We explored the prospective associations of plasma metal concentrations with central obesity in a prospective study of the Dongfeng-Tongji cohort. The present study included 2127 participants with a 6.87-year mean follow-up duration. We measured 23 plasma metal/metalloid concentrations at baseline. The associations between metals and incident central obesity were examined utilizing the Cox proportional hazard regression in single and multiple metals models. Additionally, we applied elastic net (ENET), Bayesian kernel machine regression (BKMR), plasma metal score (PMS), and quantile-based g-computation (Qgcomp) models to explore the joint associations of metal mixtures with central obesity. After adjusting potential confounders, we found significant associations of plasma manganese (Mn) and thallium (Tl) concentrations with a higher risk of central obesity, whereas plasma rubidium (Rb) concentration was associated with a lower risk of central obesity both in single and multiple metals models (all FDR <0.05). The ENET and Qqcomp models verified similar metals (Mn, Rb, and Tl) as important predictors for central obesity. The results of both BKMR model and PMS suggested cumulative exposure to metal mixtures was associated with a higher risk of central obesity. Our findings suggested that co-exposure to metals was associated with a higher risk of central obesity. This study expands our knowledge that the management of metals/metalloids exposure may be beneficial for the prevention of new-onset central obesity, which may subsequently alleviate the disease burden of late-life health outcomes.
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Affiliation(s)
- Zirui Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Xiao
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pinpin Long
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanqiu Yu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yiyi Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kang Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Department of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China
| | - Xiulou Li
- Department of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China
| | - Meian He
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yuan
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Zhang Z, Liang W, Zheng X, Zhong Q, Hu H, Huo X. Kindergarten dust heavy metal(loid) exposure associates with growth retardation in children. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:118341-118351. [PMID: 37910347 DOI: 10.1007/s11356-023-30278-1] [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: 06/08/2023] [Accepted: 09/29/2023] [Indexed: 11/03/2023]
Abstract
Heavy metal contamination from electronic waste recycling sites is present in dust found in indoor kindergartens located in e-waste recycling areas, and its potential impact on child health is a significant concern. The association between heavy metal(loid)s and the child developmental indicators is still unclear. In 2019 and 2020, we enrolled 325 and 319 children in an e-waste recycling town, respectively. Corresponding 61 and 121 dust samples were collected from roads, houses, and kindergartens in the two years. The median concentrations of metals, including Cr, Ni, Cu, Zn, and Pb exceeded the allowable limits. The highest amount of cumulative enrichment (cEF) was observed in indoor kindergarten dust (cEF = 112.3400), followed by house dust (cEF = 76.6950) and road dust (cEF = 39.7700). Children residing in the e-waste town had below-average height and weight compared to their Chinese peers. Based on linear regression analysis, the daily intake of Cd, V, Mn, and Pb in indoor kindergarten dust was found to be negatively associated with head circumference (HeC) (P < 0.05). Similarly, the daily intake of As, Cd, and Ba in indoor kindergarten dust was found to be negatively associated with chest circumference (ChC) (P < 0.05). In addition, the daily intake of As, Cd, and Ba in indoor kindergarten dust was negatively correlated with body mass index (BMI), as per the results of the study (P < 0.05). Cross-product term analysis revealed a negative correlation between daily intake of heavy metal(loid)s and HeC, ChC, and BMI, with age and sex serving as influencing factors. In conclusion, exposure to heavy metal(loid)s in indoor kindergarten dust increases the risk of growth retardation and developmental delay in children.
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Affiliation(s)
- Zhuxia Zhang
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Wanting Liang
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Xiangbin Zheng
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Qi Zhong
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China
| | - Hongfei Hu
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Xia Huo
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China.
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Zhan R, Liu L, Yang M, Ren Y, Ge Z, Shi J, Zhou K, Zhang J, Cao H, Yang L, Liu K, Sheng J, Tao F, Wang S. Associations of 10 trace element levels in the whole blood with risk of three types of obesity in the elderly. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:9787-9806. [PMID: 37847362 DOI: 10.1007/s10653-023-01747-w] [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: 04/20/2023] [Accepted: 08/29/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Currently, over 2 billion people worldwide suffer from obesity, which poses a serious health risk. More and more attention is being given to the effects of trace elements on obesity in recent years. Synergistic or antagonistic interactions among these elements can adversely or positively impact human health. However, epidemiological evidence on the relationship between trace element exposure levels and obesity has been inconclusive. METHODS Baseline data of 994 participants from the Cohort of Elderly Health and Environment Controllable Factors were used in the present study. ICP-MS was used to measure the concentrations of 10 trace elements in the whole blood of the older population. Binary logistic regression, restricted cubic splines (RCS) models, and Bayesian kernel machine regression (BKMR) models were employed to assess single, nonlinear, and mixed relationships between 10 trace element levels and three types of obesity based on body mass index (BMI), waist circumference (WC), and body fat percentage (BFP) in the elderly. RESULTS Based on BMI, WC and BFP, 51.8% of the included old population were defined as general overweight/obesity, 67.1% as abdominal obesity, and 36.2% as having slightly high/high BFP. After multivariable adjustment, compared with the lowest tertile, the highest tertile of blood selenium (Se) concentration was associated with an increased risk of all three types of obesity. Additionally, compared with the lowest tertile, higher tertiles of strontium (Sr) concentrations were associated with a lower risk of general overweight/obesity and having slightly high/high BFP, and the highest tertile of barium (Ba) was associated with a lower risk of having slightly high BFP, while higher tertiles of arsenic (As) concentrations were associated with an increased risk of having slightly high/high BFP, and the highest tertile of manganese (Mn) was associated with a higher risk of abdominal obesity. BKMR analyses showed a strong linear positive association between Se and three types of obesity. Higher blood levels of trace element mixture were associated with increased obesity risks in a dose-response pattern, with Se having the highest value of the posterior inclusion probability (PIP) within the mixture. CONCLUSIONS In this study, we found higher Se levels were associated with an elevated risk of obesity and high levels of Ba, Pb and Cr were associated with a decreased risk of obesity. Studies with larger samples are needed to confirm these findings.
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Affiliation(s)
- Rui Zhan
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lin Liu
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Maoyuan Yang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yating Ren
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Zhihao Ge
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jun Shi
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Ke Zhou
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jiebao Zhang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Hongjuan Cao
- Lu'an Center of Disease Control and Prevention, Lu'an, Anhui, China
| | - Linsheng Yang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Kaiyong Liu
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jie Sheng
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Sufang Wang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China.
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China.
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Chen H, Wang M, Zhang C, Li J. A methodological study of exposome based on an open database: Association analysis between exposure to metal mixtures and hyperuricemia. CHEMOSPHERE 2023; 344:140318. [PMID: 37775054 DOI: 10.1016/j.chemosphere.2023.140318] [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: 04/18/2023] [Revised: 09/08/2023] [Accepted: 09/26/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND Exposome recognizes that humans are constantly exposed to multiple environmental factors, and elucidating the health effects of complex exposure mixtures places greater demands on analytical methods. OBJECTS We aimed to explore the association between mixed exposure to metals and hyperuricemia (HUA), and highlight the potential of explainable machine learning (EML) and causal mediation analysis (CMA) for application in the analysis of exposome data. METHODS Pre-pandemic data from the National Health and Nutrition Examination Survey (NHANES) 2011-2020 and a total of 13780 individuals were included. We first used traditional statistical models (multiple logistic regression (MLR) and restricted cubic spline regression (RCS)) and EML to explore associations between mixed metals exposures and HUA, followed by the CMA using the 4-way decomposition method to analyze the interaction and mediation effects among BMI or estimated glomerular filtration rate (eGFR), metals and HUA. RESULTS The prevalence of HUA was 18.91% (2606/13780). The MLR showed that mercury (Q4 vs Q1: OR = 1.08, 95% CI:1.02-1.14) and lead (Q4 vs Q1: OR = 1.23, 95% CI:1.13-1.34) were generally positively associated with HUA. Higher concentrations of lead, mercury, selenium and manganese were associated with the increased odds of HUA, and BMI and eGFR were the top two variables attributable to the risk of developing HUA in the EML. Subgroup analyses from the MLR and EML consistently demonstrated the positive relationship between exposure to lead, mercury and selenium in participants with BMI <25 kg/m2 and BMI ≥30 kg/m2. BMI mediated 32.12% of the association between lead exposure and HUA, and the interaction between BMI and lead accounted for 3.88% of the association in the CMA. CONCLUSIONS Heavy metals can increase the HUA risk and BMI or eGFR can mediate and interact with metals to cause HUA. Future studies based on exposome can attempt to utilize the EML and CMA.
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Affiliation(s)
- Haoran Chen
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Min Wang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Chongyang Zhang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Jiao Li
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
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Liu Y, Wang T, Ge Y, Shen H, Li J, Qiao C. Individual and combined association between nutritional trace metals and the risk of preterm birth in a recurrent pregnancy loss cohort. Front Nutr 2023; 10:1205748. [PMID: 38099181 PMCID: PMC10720726 DOI: 10.3389/fnut.2023.1205748] [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: 04/14/2023] [Accepted: 10/30/2023] [Indexed: 12/17/2023] Open
Abstract
Background Recurrent pregnancy loss (RPL) was associated with an elevated risk of pregnancy complications, particularly preterm birth (PTB). However, the risk factors associated with PTB in RPL remained unclear. Emerging evidence indicated that maternal exposure to metals played a crucial role in the development of PTB. The objective of our study was to investigate the individual and combined associations of nutritional trace metals (NTMs) during pregnancy with PTB in RPL. Methods Using data from a recurrent pregnancy loss cohort (n = 459), propensity score matching (1:3) was performed to control for covariates. Multiple logistic regression and multiple linear regression were employed to identify the individual effects, while elastic-net regularization (ENET) and Bayesian kernel machine regression (BKMR) were used to examine the combined effects on PTB in RPL. Results The logistic regression model found that maternal exposure to copper (Cu) (quantile 4 [Q4] vs. quantile 1 [Q1], odds ratio [OR]: 0.21, 95% confidence interval [CI]: 0.05, 0.74) and zinc (Zn) (Q4 vs. Q1, OR: 0.19, 95%CI: 0.04, 0.77) was inversely associated with total PTB risk. We further constructed environmental risk scores (ERSs) using principal components and interaction terms derived from the ENET model to predict PTB accurately (p < 0.001). In the BKMR model, we confirmed that Cu was the most significant component (PIP = 0.85). When other metals were fixed at the 25th and 50th percentiles, Cu was inversely associated with PTB. In addition, we demonstrated the non-linear relationships of Zn with PTB and the potential interaction between Cu and other metals, including Zn, Ca, and Fe. Conclusion In conclusion, our study highlighted the significance of maternal exposure to NTMs in RPL and its association with PTB risk. Cu and Zn were inversely associated with PTB risk, with Cu identified as a crucial factor. Potential interactions between Cu and other metals (Zn, Ca, and Fe) further contributed to the understanding of PTB etiology in RPL. These findings suggest opportunities for personalized care and preventive interventions to optimize maternal and infant health outcomes.
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Affiliation(s)
- Yilin Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive and Genetic Medicine, National Health Commission, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Tingting Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive and Genetic Medicine, National Health Commission, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Yunpeng Ge
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive and Genetic Medicine, National Health Commission, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Hongfei Shen
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive and Genetic Medicine, National Health Commission, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Jiapo Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive and Genetic Medicine, National Health Commission, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Chong Qiao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive and Genetic Medicine, National Health Commission, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
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Amerikanou C, Kleftaki SA, Karavoltsos S, Tagkouli D, Sakellari A, Valsamidou E, Gioxari A, Kalogeropoulos N, Kaliora AC. Vanadium, cobalt, zinc, and rubidium are associated with markers of inflammation and oxidative stress in a Greek population with obesity. Front Endocrinol (Lausanne) 2023; 14:1265310. [PMID: 38075040 PMCID: PMC10703041 DOI: 10.3389/fendo.2023.1265310] [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: 07/24/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Introduction The prevalence of obesity is rising globally, with negative effects on the socioeconomic system. As a result of its drivers which include low-grade chronic inflammation, oxidative stress, and fatty acid metabolism, this phenotype develops metabolic anomalies that exacerbate its pathogenesis. It has been discovered that metals and metalloids have substantial effects on both the immune system and metabolism and are influenced by factors connected to obesity. Although there is a known connection between metals, obesity, and related metabolic disorders, it is still under research. Methods We determined the plasma levels of 16 metals and metalloids in 76 individuals with obesity and investigated the relationships with inflammatory and oxidative stress biomarkers in order to clarify the processes by which metals/metalloids exhibit their effects. Results After adjusting for age, gender, BMI, physical activity level, smoking, the existence of metabolic abnormalities, and dietary intake of the corresponding metal, regression analysis revealed the following statistically significant associations; vanadium was negatively associated with oxLDL (Beta ± SE= -0.014 ± 0.005, p=0.007), zinc was negatively associated with leptin (Beta ± SE= -12.390 ± 5.226, p=0.025), cobalt was associated negatively with adiponectin (Beta ± SE= -0.030 ± 0.012, p=0.001) and positively with MPO (Beta ± SE= 0.002 ± 0.001, p=0.023), and rubidium was negatively associated with oxLDL (Beta ± SE= -1.139 ± 0.411, p=0.008) and positively with MPO (Beta ± SE= 0.324 ± 0.102, p=0.003). Discussion The aforementioned associations highlight the need for further research, demonstrating the importance of inflammation and oxidative stress in the association between metals/metalloids and obesity-related metabolic abnormalities.
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Affiliation(s)
- Charalampia Amerikanou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Stamatia-Angeliki Kleftaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Sotirios Karavoltsos
- Department of Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitra Tagkouli
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Aikaterini Sakellari
- Department of Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Evdokia Valsamidou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Aristea Gioxari
- Department of Nutritional Science and Dietetics, School of Health Science, University of the Peloponnese, Kalamata, Greece
| | - Nick Kalogeropoulos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Andriana C. Kaliora
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
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Garofalo G, Nielsen T, Caito S. Expression Profiling of Adipogenic and Anti-Adipogenic MicroRNA Sequences following Methylmercury Exposure in Caenorhabditis elegans. TOXICS 2023; 11:934. [PMID: 37999587 PMCID: PMC10674990 DOI: 10.3390/toxics11110934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/08/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023]
Abstract
MicroRNA (miRNA) are important regulators of gene expression that respond not only to developmental and pathological cues, but also to environmental stimuli. Dyslipidemia is a hallmark of metabolic conditions and has been shown to significantly affect the expression of circulating miRNA sequences. Recently, our lab has shown that the environmental toxicant methylmercury (MeHg) causes dyslipidemia in the Caenorhabditis elegans model organism. While 10 and 20 μM MeHg increases the expression of adipogenic transcription factors and lipid-binding proteins in worms, there is limited information on how the toxicant affects the miRNA regulators of these genes. We hypothesized that MeHg would increase the expression of adipogenic miRNA sequences and/or decrease the expression of anti-adipogenic miRNA sequences. We further hypothesized that the target mRNA sequences for the miRNAs affected by MeHg would be consequently altered. We selected three potentially adipogenic (mir-34, mir-124, and mir-355) and three potentially anti-adipogenic (mir-240, mir-786, and let-7) miRNA sequences homologous to known human miRNA sequences altered in obesity, and quantified their levels 24 h and 48 h post MeHg treatment. At 24 h post exposure, MeHg significantly increased expression of both the adipogenic and anti-adipogenic miRNA sequences 1.5-3x above untreated control. By 48 h post exposure, only the adipogenic miRNA sequences were elevated, while the anti-adipogenic miRNA sequences were decreased by 50% compared to untreated control. These data suggest that there are developmental changes in miRNA expression over time following MeHg exposure. We next selected one target mRNA sequence for each miRNA sequence based on miRNA-mRNA relationships observed in humans. MeHg altered the gene expression of all the target genes assayed. Except for mir-34, all the tested miRNA-mRNA sequences showed a conserved relationship between nematode and humans. To determine whether the selected miRNA sequences were involved in lipid accumulation in response to MeHg, lipid storage was investigated in transgenic worm strains that lacked the specific miRNA strains. Of the six strains investigated, only the mir-124 and let-7 mutant worms had lipid storage levels that were statistically different from wild type, suggesting that these two sequences can be potential mediators of MeHg-induced lipid dysregulation.
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Affiliation(s)
| | | | - Samuel Caito
- Department of Pharmaceutical Sciences, Husson University School of Pharmacy, Bangor, ME 04401, USA
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50
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Wu J, Wang K, Tao F, Li Q, Luo X, Xia F. The association of blood metals with latent tuberculosis infection among adults and adolescents. Front Nutr 2023; 10:1259902. [PMID: 38024374 PMCID: PMC10655142 DOI: 10.3389/fnut.2023.1259902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Objective We aimed to investigate the relationship of metal exposure and latent tuberculosis infection (LTBI) among US adults and adolescents. Methods Participants from the National Health and Nutrition Examination Surveys (NHANES 2011 ~ 2012) were included. Multiple logistic regression models were used to explore the associations between metal exposure and LTBI. A total of 5,248 adults and 1,860 adolescents were included in the present analysis. Results For adults, we only found a positive association between total mercury and LTBI (OR: 1.411; 95% CI: 1.164 ~ 1.710) when used as a continuous variable. Compared with Q1, Q4 increased the prevalence of LTBI (2.303; 1.455 ~ 3.644) when used as a quartile. The OR of total mercury and LTBI was higher among females (1.517; 1.009 ~ 2.279), individuals aged 45 ~ 64 (1.457; 1.060 ~ 2.002), and non-Hispanic White individuals (1.773; 1.316 ~ 2.388). A relationship was observed among only participants with obesity (1.553; 1.040 ~ 2.319) or underweight (1.380; 1.076 ~ 1.771), with college or above (1.645; 1.184 ~ 2.286), with PIR > 3.0 (1.701; 1.217 ~ 2.376), reported smoking (1.535; 1.235 ~ 1.907) and drinking (1.464; 1.232 ~ 1.739). For adolescents, blood manganese was positively associated with LTBI. The OR and 95% CIs for each one-unit increase in the log-transformed level of blood manganese with LTBI were 9.954 (1.389 ~ 71.344). Conclusion Significant associations were observed in girls, aged ≥12 years and in the non-Hispanic white population. In conclusion, total mercury is associated with an increased prevalence of LTBI among adults and positive association between blood manganese and LTBI was observed among adolescents. Further studies should be conducted to verify the results and explore potential biological mechanisms.
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Affiliation(s)
| | | | | | | | - Xin Luo
- Department of Public Health, Wuhan Fourth Hospital, Wuhan, China
| | - Fang Xia
- Department of Public Health, Wuhan Fourth Hospital, Wuhan, China
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