101
|
Liu M, Guo W, Li M, Yang H, Lai X, Yang L, Zhang X. Physical activity modified association of urinary metals mixture and fasting blood glucose in children: From two panel studies. ENVIRONMENTAL RESEARCH 2024; 252:118767. [PMID: 38527725 DOI: 10.1016/j.envres.2024.118767] [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: 12/13/2023] [Revised: 02/23/2024] [Accepted: 03/19/2024] [Indexed: 03/27/2024]
Abstract
There is unclear evidence available on the associations between multiple metals and fasting blood glucose (FBG) in children, and whether they could be beneficial from physical activity. We included 283 children aged 4-12 years from two panel studies with 4-consecutive morning urinary 13 essential metals and 10 non-essential metals repeated across 3 seasons. We employed multiple informant model, linear mixed-effect model, and quantile g-computation to evaluate associations of single metal and their mixture with FBG and interactions with extra-school activity. The results showed that positive relations of multiple essential metals (aluminum, chromium, copper, iron, molybdenum (Mo), nickel, selenium (Se), strontium, zinc) and non-essential metals (arsenic (As), cadmium (Cd), rubidium, titanium (Ti), thallium) with FBG were the strongest at lag 0 (the health examination day), especially in overweight & obesity children (FDR <0.05). The strongest effect presented 1-fold increment in As was related to FBG increased 1.66% (95%CI: 0.84%, 2.48%) in overweight & obesity children. Notably, modification of extra-school activity showed significant, and the effects of multiple metals on FBG were attenuated in children taking total extra-school activity ≥1 h/day, and only one type of which, low or moderate & high intensity extra-school activity reached 20 min/day (Pint <0.05). For instance, each 1-fold increased As was associated with 1.41% increased FBG in overall children taking total extra-school activity <1 h/day, while that of 0.13% in those ≥1 h/day. Meanwhile, mixture of all, essential and non-essential metals were associated with increased FBG, a trend that decreased and became nonsignificant in children having certain extra-school activity, which were dominated by Mo, Se, Ti, Cd. And such relations were substantially beneficial from extra-school activity in overweight & obesity children. Accordingly, multiple essential and non-essential metals, both individual and in mixture, were positively related to FBG in children, which might be attenuated by regular physical activity.
Collapse
Affiliation(s)
- Miao Liu
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, Guangdong, China; Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenting Guo
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meng Li
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Huihua Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liangle Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| |
Collapse
|
102
|
Carlin DJ, Rider CV. Combined Exposures and Mixtures Research: An Enduring NIEHS Priority. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:75001. [PMID: 38968090 PMCID: PMC11225971 DOI: 10.1289/ehp14340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 04/25/2024] [Accepted: 06/12/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND The National Institute of Environmental Health Sciences (NIEHS) continues to prioritize research to better understand the health effects resulting from exposure to mixtures of chemical and nonchemical stressors. Mixtures research activities over the last decade were informed by expert input during the development and deliberations of the 2011 NIEHS Workshop "Advancing Research on Mixtures: New Perspectives and Approaches for Predicting Adverse Human Health Effects." NIEHS mixtures research efforts since then have focused on key themes including a) prioritizing mixtures for study, b) translating mixtures data from in vitro and in vivo studies, c) developing cross-disciplinary collaborations, d) informing component-based and whole-mixture assessment approaches, e) developing sufficient similarity methods to compare across complex mixtures, f) using systems-based approaches to evaluate mixtures, and g) focusing on management and integration of mixtures-related data. OBJECTIVES We aimed to describe NIEHS driven research on mixtures and combined exposures over the last decade and present areas for future attention. RESULTS Intramural and extramural mixtures research projects have incorporated a diverse array of chemicals (e.g., polycyclic aromatic hydrocarbons, botanicals, personal care products, wildfire emissions) and nonchemical stressors (e.g., socioeconomic factors, social adversity) and have focused on many diseases (e.g., breast cancer, atherosclerosis, immune disruption). We have made significant progress in certain areas, such as developing statistical methods for evaluating multiple chemical associations in epidemiology and building translational mixtures projects that include both in vitro and in vivo models. DISCUSSION Moving forward, additional work is needed to improve mixtures data integration, elucidate interactions between chemical and nonchemical stressors, and resolve the geospatial and temporal nature of mixture exposures. Continued mixtures research will be critical to informing cumulative impact assessments and addressing complex challenges, such as environmental justice and climate change. https://doi.org/10.1289/EHP14340.
Collapse
Affiliation(s)
- Danielle J. Carlin
- Division of Extramural Research and Training, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Cynthia V. Rider
- Division of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| |
Collapse
|
103
|
Hu C, Fan Y, Lin Z, Xie X, Huang S, Hu Z. Metabolomic landscape of overall and common cancers in the UK Biobank: A prospective cohort study. Int J Cancer 2024; 155:27-39. [PMID: 38430541 DOI: 10.1002/ijc.34884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 01/15/2024] [Accepted: 01/26/2024] [Indexed: 03/04/2024]
Abstract
Information about the NMR metabolomics landscape of overall, and common cancers is still limited. Based on a cohort of 83,290 participants from the UK Biobank, we used multivariate Cox regression to assess the associations between each of the 168 metabolites with the risks of overall cancer and 20 specific types of cancer. Then, we applied LASSO to identify important metabolites for overall cancer risk and obtained their associations using multivariate cox regression. We further conducted mediation analysis to evaluate the mediated role of metabolites in the effects of traditional factors on overall cancer risk. Finally, we included the 13 identified metabolites as predictors in prediction models, and compared the accuracies of our traditional models. We found that there were commonalities among the metabolic profiles of overall and specific types of cancer: the top 20 frequently identified metabolites for 20 specific types of cancer were all associated with overall cancer; most of the specific types of cancer had common identified metabolites. Meanwhile, the associations between the same metabolite with different types of cancer can vary based on the site of origin. We identified 13 metabolic biomarkers associated with overall cancer, and found that they mediated the effects of traditional factors. The accuracies of prediction models improved when we added 13 identified metabolites in models. This study is helpful to understand the metabolic mechanisms of overall and a wide range of cancers, and our results also indicate that NMR metabolites are potential biomarkers in cancer diagnosis and prevention.
Collapse
Affiliation(s)
- Chanchan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yi Fan
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Zhifeng Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Shaodan Huang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China
| |
Collapse
|
104
|
Chen Y, Feuerstahler L, Martinez-Steele E, Buckley JP, Liu SH. Phthalate mixtures and insulin resistance: an item response theory approach to quantify exposure burden to phthalate mixtures. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:581-590. [PMID: 36966251 PMCID: PMC10580272 DOI: 10.1038/s41370-023-00535-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 02/27/2023] [Accepted: 03/09/2023] [Indexed: 05/17/2023]
Abstract
BACKGROUND Molar sums are often used to quantify total phthalate exposure, but they do not capture patterns of exposure to multiple phthalates. OBJECTIVE To introduce an exposure burden score method for quantifying exposure to phthalate metabolites and examine the association between phthalate burden scores and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). METHODS We applied item response theory (IRT) to data from 3474 adults aged 20-60 years in the 2013-2018 National Health and Examination Survey (NHANES) to quantify latent phthalate exposure burden from 12 phthalate metabolites. We compared model fits of three IRT models that used different a priori groupings (general phthalate burden; low molecular weight (LMW) and high molecular weight (HMW) burdens; and LMW, HMW and DEHP burden), and used the best fitting model to estimate phthalate exposure burden scores. Regression models assessed the covariate-adjusted association between phthalate burden scores and HOMA-IR. We compared findings to those using molar sums. In secondary analyses, we examined how the IRT model could be used for data harmonization when a subset of participants are missing some phthalate metabolites, and accounted for measurement error of the phthalate burden scores in estimating associations with HOMA-IR through a resampling approach using plausible value imputation. RESULTS A three correlated factors model (LMW, HMW and DEHP burdens) provided the best fit. One interquartile range (IQR) increase in DEHP burden score was associated with 0.094 (95% CI: 0.022, 0.164, p = 0.010) increase in log HOMA-IR, co-adjusted for LMW and HMW burden scores. Findings were consistent when using log molar sums. Associations of phthalate burden and insulin resistance were also consistent when participants were simulated to be missing some phthalate metabolites, and when we accounted for measurement error in estimating burden scores. CONCLUSION Both phthalate molar sums and burden scores are sensitive to associations with insulin resistance. Phthalate burden scores may be useful for data harmonization.
Collapse
Affiliation(s)
- Yitong Chen
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - Jessie P Buckley
- Department of Environmental Health and Engineering, John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shelley H Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
105
|
Kim KN, Park S, Choi J, Hwang IU. Associations between short-term exposure to air pollution and thyroid function in a representative sample of the Korean population. ENVIRONMENTAL RESEARCH 2024; 252:119018. [PMID: 38685294 DOI: 10.1016/j.envres.2024.119018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 04/05/2024] [Accepted: 04/23/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Disruption of thyroid function can profoundly affect various organ systems. However, studies on the association between air pollution and thyroid function are relatively scarce and most studies have focused on the long-term effects of air pollution among pregnant women. OBJECTIVES This study aimed to explore the associations between short-term exposure to air pollution and thyroid function in the general population. METHODS Data from the Korea National Health and Nutrition Examination Survey (2013-2015) were analyzed (n = 5,626). Air pollution concentrations in residential addresses were estimated using Community Multiscale Air Quality models. The moving averages of air pollution over 7 days were set as exposure variables through exploratory analyses. Linear regression and quantile g-computation models were constructed to assess the effects of individual air pollutants and air pollution mixture, respectively. RESULTS A 10-ppb increase in NO2 (18.8-μg/m3 increase) and CO (11.5-μg/m3 increase) was associated with 2.43% [95% confidence interval (CI): 0.42, 4.48] and 0.19% (95% CI: 0.01, 0.36) higher thyroid-stimulating hormone (TSH) levels, respectively. A 10-μg/m3 increase in PM2.5 and a 10-ppb increase in O3 (19.6-μg/m3 increment) were associated with 0.87% (95% CI: 1.47, -0.27) and 0.59% (95% CI: 1.18, -0.001) lower free thyroxine (fT4) levels, respectively. A simultaneous quartile increase in PM2.5, NO2, O3, and CO levels was associated with lower fT4 but not TSH levels. CONCLUSIONS As the subtle changes in thyroid function can affect various organ systems, the present results may have substantial public health implications despite the relatively modest effect sizes. Because this was a cross-sectional study, it is necessary to conduct further experimental or repeated-measures studies to consolidate the current results.
Collapse
Affiliation(s)
- Kyoung-Nam Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - SoHyun Park
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Junseo Choi
- Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Il-Ung Hwang
- Division of Public Health and Medical Care, Seoul National University Hospital, Seoul, Republic of Korea.
| |
Collapse
|
106
|
Wang L, Wen L, Shen J, Wang Y, Wei Q, He W, Liu X, Chen P, Jin Y, Yue D, Zhai Y, Mai H, Zeng X, Hu Q, Lin W. The association between PM 2.5 components and blood pressure changes in late pregnancy: A combined analysis of traditional and machine learning models. ENVIRONMENTAL RESEARCH 2024; 252:118827. [PMID: 38580006 DOI: 10.1016/j.envres.2024.118827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/22/2024] [Accepted: 03/28/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND PM2.5 is a harmful mixture of various chemical components that pose a challenge in determining their individual and combined health effects due to multicollinearity issues with traditional linear regression models. This study aimed to develop an analytical methodology combining traditional and novel machine learning models to evaluate PM2.5's combined effects on blood pressure (BP) and identify the most toxic components. METHODS We measured late-pregnancy BP of 1138 women from the Heshan cohort while simultaneously analyzing 31 PM2.5 components. We utilized multiple linear regression modeling to establish the relationship between PM2.5 components and late-pregnancy BP and applied Random Forest (RF) and generalized Weighted Quantile Sum (gWQS) regression to identify the most toxic components contributing to elevated BP and to quantitatively evaluate the cumulative effect of the PM2.5 component mixtures. RESULTS The results revealed that 16 PM2.5 components, such as EC, OC, Ti, Fe, Mn, Cu, Cd, Mg, K, Pb, Se, Na+, K+, Cl-, NO3-, and F-, contributed to elevated systolic blood pressure (SBP), while 26 components, including two carbon components (EC, OC), fourteen metallics (Ti, Fe, Mn, Cr, Mo, Co, Cu, Zn, Cd, Na, Mg, Al, K, Pb), one metalloid (Se), and nine water-soluble ions (Na+, K+, Mg2+, Ca2+, NH4+, Cl-, NO3-, SO42-, F-), contributed to elevated diastolic blood pressure (DBP). Mn and Cr were the most toxic components for elevated SBP and DBP, respectively, as analyzed by RF and gWQS models and verified against each other. Exposure to PM2.5 component mixtures increased SBP by 1.04 mmHg (95% CI: 0.33-1.76) and DBP by 1.13 mmHg (95% CI: 0.47-1.78). CONCLUSIONS Our study highlights the effectiveness of combining traditional and novel models as an analytical strategy to quantify the health effects of PM2.5 constituent mixtures.
Collapse
Affiliation(s)
- Lijie Wang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Li Wen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Jianling Shen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Yi Wang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Qiannan Wei
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Wenjie He
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Xueting Liu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Peiyao Chen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Yan Jin
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Dingli Yue
- Guangdong Ecological and Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou, 510308, China
| | - Yuhong Zhai
- Guangdong Ecological and Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou, 510308, China
| | - Huiying Mai
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Jiangmen, 529700, China
| | - Xiaoling Zeng
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Jiangmen, 529700, China
| | - Qiansheng Hu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
| | - Weiwei Lin
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
| |
Collapse
|
107
|
Han B, Wang L, Wang X, Huang K, Shen Y, Wang Z, Jing T. Association between multipollutant exposure and thyroid hormones in elderly people: A cross-sectional study in China. ENVIRONMENTAL RESEARCH 2024; 252:118781. [PMID: 38552824 DOI: 10.1016/j.envres.2024.118781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/03/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
Environmental chemicals have been indicated to cause disruption of thyroid homeostasis in human populations. However, previous studies mostly focused on single group of chemicals. Herein, we investigate the independent and combined effects of multiple pollutants on thyroid homeostasis, including thyroid-stimulating hormone (TSH), total and free thyroxine (tT4 and fT4) and total and free triiodothyronine (tT3 and fT3) in elderly people. These environmental pollutants (n = 144) are from ten categories, including phenols, parabens, perfluoroalkyl substances (PFASs), polychlorinated biphenyls (PCBs), phthalate esters (PAEs), polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs), organophosphate pesticides (OPPs), synthetic pyrethroids (SPs), herbicides, and metals. Few studies have evaluated the health risks of these 144 chemicals, especially their joint effects. In single-pollutant evaluations, multiple linear regression (MLR) models were used to estimate the independent associations between multiple exposures and thyroid biomarkers. In multi-pollutant evaluations, elastic net regression and Bayesian kernel machine regression (BKMR) models were used to estimate the combined associations. The MLR models showed that 41 chemicals were significantly related to THs levels. BKMR models revealed the most important chemical groups: metals for TSH, PAHs, SPs and PCBs for tT4, herbicides and SPs for tT3. This study will contribute to the understanding of multipollutant exposure and help prioritize specific chemical groups related to thyroid hormone disruption.
Collapse
Affiliation(s)
- Bin Han
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Lulu Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Xiu Wang
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Kai Huang
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, Zhejiang, 310003, China
| | - Yang Shen
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Zhu Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China
| | - Tao Jing
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, China.
| |
Collapse
|
108
|
Fu Y, He M, Liu Y, Li M, Zhu M, Wang Y, Lin W, Yu L, Yang L, Zhang Y, Liu Y, Ji H, Ding H, Wang J. Reduction of haemoglobin is related to metal mixtures exposure in Chinese preschoolers: Joint effect models. J Trace Elem Med Biol 2024; 84:127427. [PMID: 38518386 DOI: 10.1016/j.jtemb.2024.127427] [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: 01/04/2024] [Revised: 03/02/2024] [Accepted: 03/03/2024] [Indexed: 03/24/2024]
Abstract
Heavy metal exposure is a known risk factor for hematologic disorders in children, yet the impact of co-exposure to multiple metals remains underexplored. This cross-sectional study investigates the relationship between urinary levels of 23 metals and haemoglobin (Hb) in 1460 Chinese preschoolers. The concentrations of the 23 urinary metals were quantified using an inductively coupled plasma mass spectrometer, while Hb levels were assessed through finger prick blood samples. To evaluate the co-exposure effects, we employed three approaches: Generalized linear regression model, joint effect models including Quantile g-Computation and Bayesian Kernel Machine Regression (BKMR). From the generalized linear regression and Quantile g-computation, urinary uranium, thallium, aluminium, iron and tungsten were correlated negatively with Hb, while urinary barium was correlated positively (all P < 0.05). Moreover, significant negative associations between metal mixtures exposure with Hb were identified in both Quantile g-computation [β (95% CI): -0.083 (-0.132, -0.033), P = 0.0012] and BKMR [90th percentile vs. 50th percentile β (95% CI): -0.238 (-0.368, -0.107), P < 0.001] with aluminium emerging as the primary contributor to this joint effect (weight in Quantile g-computation = 0.399, PIPs in BKMR = 0.896). These findings provide a potential explanation for environmental exposure to metals and Hb-related disease in preschoolers.
Collapse
Affiliation(s)
- Ye Fu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China; Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Minghui He
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yang Liu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Mingzhu Li
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Meiqin Zhu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yan Wang
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China; Department of Clinical Laboratory, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Wei Lin
- Department of Endocrinology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Lili Yu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Liting Yang
- Biomedical Research Institute of Hubei University of Medicine, Shiyan, Hubei, China
| | - Yao Zhang
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yanli Liu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Hongxian Ji
- Department of Child Health, Maternal and Child Health Hospital, Shiyan, Hubei, China
| | - Hongcheng Ding
- Department of Endocrinology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
| | - Jing Wang
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China; Department of Endocrinology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
| |
Collapse
|
109
|
Zhao J, Mei Y, Li A, Zhou Q, Zhao M, Xu J, Li Y, Li K, Yang M, Xu Q. Association between PM 2.5 constituents and cardiometabolic risk factors: Exploring individual and combined effects, and mediating inflammation. CHEMOSPHERE 2024; 359:142251. [PMID: 38710413 DOI: 10.1016/j.chemosphere.2024.142251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/17/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND The individual and combined effects of PM2.5 constituents on cardiometabolic risk factors are sparsely investigated. Besides, the key cardiometabolic risk factor that PM2.5 constituents targeted and the biological mechanisms remain unclear. METHOD A multistage, stratified cluster sampling survey was conducted in two typically air-polluted Chinese cities. The PM2.5 and its constituents including sulfate, nitrate, ammonium, organic matter, and black carbon were predicted using a machine learning model. Twenty biomarkers in three category were simultaneously adopted as cardiometabolic risk factors. We explored the individual and mixture association of long-term PM2.5 constituents with these markers using generalized additive model and quantile-based g-computation, respectively. To minimize potential confounding effects, we accounted for covariates including demographic, lifestyle, meteorological, temporal trends, and disease-related information. We further used ROC curve and mediation analysis to identify the key subclinical indicators and explore whether inflammatory mediators mediate such association, respectively. RESULT PM2.5 constituents was positively correlated with HOMA-B, TC, TG, LDL-C and LCI, and negatively correlated with PP and RC. Further, PM2.5 constituent mixture was positive associated with DBP, MAP, HbA1c, HOMA-B, AC, CRI-1 and CRI-2, and negative associated with PP and HDL-C. The ROC analysis further reveals that multiple cardiometabolic risk factors can collectively discriminate exposure to PM2.5 constituents (AUC>0.9), among which PP and CRI-2 as individual indicators exhibit better identifiable performance for nitrate and ammonium (AUC>0.75). We also found that multiple blood lipid indicators may be affected by PM2.5 and its constituents, possibly mediated through complement C3 or hsCRP. CONCLUSION Our study suggested associations of individual and combined PM2.5 constituents exposure with cardiometabolic risk factors. PP and CRI-2 were the targeted markers of long-term exposure to nitrate and ammonium. Inflammation may serve as a mediating factor between PM2.5 constituents and dyslipidemia, which enhance current understanding of potential pathways for PM2.5-induced preclinical cardiovascular responses.
Collapse
Affiliation(s)
- Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China; Big Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
| |
Collapse
|
110
|
Nguyen PH, Herring AH, Engel SM. Power Analysis of Exposure Mixture Studies via Monte Carlo Simulations. STATISTICS IN BIOSCIENCES 2024; 16:321-346. [PMID: 39091460 PMCID: PMC11293479 DOI: 10.1007/s12561-023-09385-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 05/25/2023] [Accepted: 08/12/2023] [Indexed: 08/04/2024]
Abstract
Estimating sample size and statistical power is an essential part of a good epidemiological study design. Closed-form formulas exist for simple hypothesis tests but not for advanced statistical methods designed for exposure mixture studies. Estimating power with Monte Carlo simulations is flexible and applicable to these methods. However, it is not straightforward to code a simulation for non-experienced programmers and is often hard for a researcher to manually specify multivariate associations among exposure mixtures to set up a simulation. To simplify this process, we present the R package mpower for power analysis of observational studies of environmental exposure mixtures involving recently-developed mixtures analysis methods. The components within mpower are also versatile enough to accommodate any mixtures methods that will developed in the future. The package allows users to simulate realistic exposure data and mixed-typed covariates based on public data set such as the National Health and Nutrition Examination Survey or other existing data set from prior studies. Users can generate power curves to assess the trade-offs between sample size, effect size, and power of a design. This paper presents tutorials and examples of power analysis using mpower.
Collapse
Affiliation(s)
- Phuc H Nguyen
- Department of Statistical Science, Duke University, Durham, 27710, NC, USA
| | - Amy H Herring
- Department of Statistical Science, Duke University, Durham, 27710, NC, USA
| | - Stephanie M Engel
- Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, 27516, NC, USA
| |
Collapse
|
111
|
Liao G, Weng X, Wang F, Kuen Yu YH, Arrandale VH, Chan AHS, Lu S, Tse LA. Estimated daily intake and cumulative risk assessment of organophosphate esters and associations with DNA damage among e-waste workers in Hong Kong. CHEMOSPHERE 2024; 360:142406. [PMID: 38782132 DOI: 10.1016/j.chemosphere.2024.142406] [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: 04/02/2024] [Revised: 05/20/2024] [Accepted: 05/21/2024] [Indexed: 05/25/2024]
Abstract
Organophosphate esters (OPEs) are extensively used as additives in various products, including electronic equipment, which becomes e-waste when obsolete. Nevertheless, no study has evaluated OPEs exposure levels and the related health risks among e-waste workers in Hong Kong. Therefore, 201 first-spot morning urine samples were collected from 101 e-waste workers and 100 office workers to compare eight urinary OPE metabolites (mOPEs) levels in these groups. The concentrations of six mOPEs were similar in e-waste workers and office workers, except for significantly higher levels of diphenyl phosphate (DPHP) in e-waste workers and bis(1-chloro-2propyl) phosphate (BCIPP) in office workers. Spearman correlation analysis showed that most non-chlorinated mOPEs were correlated with each other in e-waste workers (i.e., nine out of ten pairs, including di-p-cresyl phosphate (DpCP) and di-o-cresyl phosphate (DoCP), DpCP and bis(2-butoxyethyl) phosphate (BBOEP), DpCP and DPHP, DpCP and dibutyl phosphate (DBP), DoCP and BBOEP, DoCP and DPHP, DoCP and DBP, BBOEP and DPHP, DPHP and DBP), indicating that handling e-waste could be the exposure source of specific OPEs. The median values of estimated daily intake (EDI) and hazard quotient (HQ) suggested that the health risks from OPEs exposures were under the recommended thresholds. However, linear regression models, Quantile g-computation, and Bayesian kernel machine regression found that urinary mOPEs elevated 8-hydroxy-2-deoxyguanosine (8-OhdG) levels individually or as a mixture, in which DPHP contributed prominently. In conclusion, although e-waste might not elevate the internal OPEs levels among the participating Hong Kong e-waste workers, attention should be paid to the potential DNA damage stimulated by OPEs under the currently recommended thresholds.
Collapse
Affiliation(s)
- Gengze Liao
- J.C. School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China; The CUHK Centre for Public Health and Primary Care (Shenzhen) & Shenzhen Municipal Key Laboratory for Health Risk Analysis, Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - Xueqiong Weng
- J.C. School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Feng Wang
- J.C. School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China; The CUHK Centre for Public Health and Primary Care (Shenzhen) & Shenzhen Municipal Key Laboratory for Health Risk Analysis, Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | | | | | - Alan Hoi-Shou Chan
- Department of Systems Engineering, City University of Hong Kong, Hong Kong SAR, China
| | - Shaoyou Lu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
| | - Lap Ah Tse
- J.C. School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China; The CUHK Centre for Public Health and Primary Care (Shenzhen) & Shenzhen Municipal Key Laboratory for Health Risk Analysis, Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China; Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong SAR, China.
| |
Collapse
|
112
|
Siwakoti RC, Park S, Ferguson KK, Hao W, Cantonwine DE, Mukherjee B, McElrath TF, Meeker JD. Prenatal per- and polyfluoroalkyl substances (PFAS) and maternal oxidative stress: Evidence from the LIFECODES study. CHEMOSPHERE 2024; 360:142363. [PMID: 38768789 DOI: 10.1016/j.chemosphere.2024.142363] [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: 03/13/2024] [Revised: 05/13/2024] [Accepted: 05/16/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals linked to adverse pregnancy outcomes. Although their underlying biological mechanisms are not fully understood, evidence suggests PFAS may disrupt endocrine functions and contribute to oxidative stress (OS) and inflammation. OBJECTIVE We examined associations between early pregnancy PFAS exposure and OS biomarkers, exploring potential effect modifications by fetal sex and maternal race. METHODS We used data from 469 LIFECODES participants with measured plasma PFAS (median 10 weeks gestation) and repeated measures (median 10, 18, 26, and 35 weeks gestation) of urinary OS biomarkers [8-iso-prostaglandin-F2α (8-isoprostane) and 8-hydroxydeoxyguanosine (8-OHdG)]. Protein damage biomarkers (chlorotyrosine, dityrosine, and nitrotyrosine) were additionally measured in plasma from a subset (N = 167) during the third visit. Associations between each PFAS and OS biomarkers were examined using linear mixed-effects models and multivariable linear regressions, adjusting for potential confounders, including maternal age, race, education level, pre-pregnancy BMI, insurance status, and parity. Effect modifications were evaluated by including an interaction term between each PFAS and fetal sex or maternal race in the models. RESULTS We observed significant positive associations between PFOS and 8-isoprostane, with a 9.68% increase in 8-isoprostane levels (95% CI: 0.10%, 20.18%) per interquartile range increase in PFOS. In contrast, PFUA was negatively associated [9.32% (95% CI: -17.68%, -0.11%)], while there were suggestive positive associations for MPAH and PFOA with 8-isoprostane. The associations of several PFAS with 8-OHdG varied by fetal sex, showing generally positive trends in women who delivered females, but negative or null in those who delivered males. No significant effect modification by maternal race was observed. CONCLUSIONS This study provides evidence linking PFAS exposure to OS during pregnancy, with potential sex-specific effects of certain PFAS on 8-OHdG. Further research should explore additional OS/inflammatory biomarkers and assess the modifying effects of dietary and behavioral patterns across diverse populations.
Collapse
Affiliation(s)
- Ram C Siwakoti
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Seonyoung Park
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Kelly K Ferguson
- Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Wei Hao
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - David E Cantonwine
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Thomas F McElrath
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
| |
Collapse
|
113
|
Eick SM, Tan Y, Taibl KR, Barry Ryan P, Barr DB, Hüls A, Eatman JA, Panuwet P, D'Souza PE, Yakimavets V, Lee GE, Brennan PA, Corwin EJ, Dunlop AL, Liang D. Prenatal exposure to persistent and non-persistent chemical mixtures and associations with adverse birth outcomes in the Atlanta African American Maternal-Child Cohort. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:570-580. [PMID: 36841843 PMCID: PMC10450095 DOI: 10.1038/s41370-023-00530-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND African Americans (AAs) experience higher rates of preterm birth and fetal growth restriction relative to other pregnant populations. Differential in utero exposure to environmental chemicals may partially explain these health disparities, as AAs are disproportionately exposed to environmental hazards. OBJECTIVE We examined the individual and mixture effects of non-persistent chemicals and persistent organic pollutants (POPs) on gestational age at birth and birthweight for gestational age z-scores within a prospective cohort of pregnant AAs. METHODS First-trimester serum and urine samples obtained from participants within the Atlanta African American Maternal-Child cohort were analyzed for 43 environmental chemicals, including per-and polyfluoroalkyl substances (PFAS), polybrominated diphenyl ethers (PBDEs), organochlorine pesticides, pyrethroid insecticides, phthalates, bisphenol A, nicotine, and the primary metabolite of delta-9-tetrahydrocannabinol. Linear regression was used to estimate individual associations between chemicals and gestational age and birthweight z-scores (N ranging from 107 to 523). Mixture associations were estimated using quantile g-computation, principal component (PC) analyses, and hierarchical Bayesian kernel machine regression among complete cases (N = 86). RESULTS Using quantile g-computation, increasing all chemical exposures by one quantile was modestly associated with a reduction in gestational age (mean change per quartile increase = -0.47, 95% CI = -1.56, 0.61) and birthweight z-scores (mean change per quartile increase = -0.49, 95% CI = -1.14, 0.15). All PCs were associated with a reduction in birthweight z-scores; associations were greatest in magnitude for the two PCs reflecting exposure to combined tobacco, insecticides, PBDEs, and phthalates. In single pollutant models, we observed inconsistent and largely non-significant associations. SIGNIFANCE We conducted multiple targeted exposure assessment methods to quantify levels of environmental chemicals and leveraged mixture methods to quantify their joint effects on gestational age and birthweight z-scores. Our findings suggest that prenatal exposure to multiple classes of persistent and non-persistent chemicals is associated with reduced gestational age and birthweight z-scores in AAs. IMPACT African Americans (AAs) experience higher rates of preterm birth and fetal growth restriction relative to other pregnant populations. Differential in utero exposure to environmental chemicals may partially explain these health disparities, as AAs are disproportionately exposed to environmental hazards. In the present study, we analyzed serum and urine samples for levels of 43 environmental chemicals. We used quantile g-computation, principal component analysis, and BKMR to assess associations between chemical exposure mixtures and adverse birth outcomes. Our findings suggest that prenatal exposure to multiple classes of chemicals is associated with reduced birthweight z-scores, a proxy for fetal growth, in AAs.
Collapse
Affiliation(s)
- Stephanie M Eick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Youran Tan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kaitlin R Taibl
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - P Barry Ryan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Anke Hüls
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Epidemiology. Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jasmin A Eatman
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Parinya Panuwet
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Priya E D'Souza
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Volha Yakimavets
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Grace E Lee
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | | | - Anne L Dunlop
- Department of Gynecology and Obstetrics, School of Medicine, Emory University, Atlanta, GA, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| |
Collapse
|
114
|
Yim G, Margetaki K, Romano ME, Kippler M, Vafeiadi M, Roumeliotaki T, Bempi V, Farzan SF, Chatzi L, Howe CG. Metal mixture exposures and serum lipid levels in childhood: the Rhea mother-child cohort in Greece. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:688-698. [PMID: 38698271 DOI: 10.1038/s41370-024-00674-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND Growing evidence suggests that cardiovascular disease develops over the lifetime, often beginning in childhood. Metal exposures have been associated with cardiovascular disease and important risk factors, including dyslipidemia, but prior studies have largely focused on adult populations and single metal exposures. OBJECTIVE To investigate the individual and joint impacts of multiple metal exposures on lipid levels during childhood. METHODS This cross-sectional study included 291 4-year-old children from the Rhea Cohort Study in Heraklion, Greece. Seven metals (manganese, cobalt, selenium, molybdenum, cadmium, mercury, and lead) were measured in whole blood using inductively coupled plasma mass spectrometry. Serum lipid levels included total cholesterol, triglycerides, high-density lipoprotein (HDL) cholesterol, and low-density lipoprotein (LDL) cholesterol. To determine the joint and individual impacts of child metal exposures (log2-transformed) on lipid levels, Bayesian kernel machine regression (BKMR) was employed as the primary multi-pollutant approach. Potential effect modification by child sex and childhood environmental tobacco smoke exposure was also evaluated. RESULTS BKMR identified a positive association between the metal mixture and both total and LDL cholesterol. Of the seven metals examined, selenium (median 90.6 [IQR = 83.6, 96.5] µg/L) was assigned the highest posterior inclusion probability for both total and LDL cholesterol. A difference in LDL cholesterol of 8.22 mg/dL (95% CI = 1.85, 14.59) was observed when blood selenium was set to its 75th versus 25th percentile, holding all other metals at their median values. In stratified analyses, the positive association between selenium and LDL cholesterol was only observed among boys or among children exposed to environmental tobacco smoke during childhood. IMPACT STATEMENT Growing evidence indicates that cardiovascular events in adulthood are the consequence of the lifelong atherosclerotic process that begins in childhood. Therefore, public health interventions targeting childhood cardiovascular risk factors may have a particularly profound impact on reducing the burden of cardiovascular disease. Although growing evidence supports that both essential and nonessential metals contribute to cardiovascular disease and risk factors, such as dyslipidemia, prior studies have mainly focused on single metal exposures in adult populations. To address this research gap, the current study investigated the joint impacts of multiple metal exposures on lipid concentrations in early childhood.
Collapse
Affiliation(s)
- Gyeyoon Yim
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, NH, USA.
| | - Katerina Margetaki
- Clinic of Preventive Medicine and Nutrition, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Megan E Romano
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, NH, USA
| | - Maria Kippler
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Vicky Bempi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Leda Chatzi
- Department of Population and Public Health Sciences, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, NH, USA
| |
Collapse
|
115
|
Boyle J, Ward MH, Koutros S, Karagas MR, Schwenn M, Johnson AT, Silverman DT, Wheeler DC. Modeling Historic Arsenic Exposures and Spatial Risk for Bladder Cancer. STATISTICS IN BIOSCIENCES 2024; 16:377-394. [PMID: 39247147 PMCID: PMC11378980 DOI: 10.1007/s12561-023-09404-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/02/2023] [Accepted: 10/12/2023] [Indexed: 09/10/2024]
Abstract
Arsenic is a bladder carcinogen though less is known regarding the specific temporal relationship between exposure and bladder cancer diagnosis. In this study, we modeled time-varying mixtures of arsenic exposures at many historic temporal windows to evaluate their association with bladder cancer risk in the New England Bladder Cancer Study. We used arsenic exposure estimates up to 60 years prior to study entry and compared the goodness of fit of models using these mixtures to those using summary measures of arsenic exposures. We used the Bayesian index low rank kriging multiple membership model (LRK-MMM) to estimate the associations of these mixtures with bladder cancer and estimate cumulative spatial risk for bladder cancer using participants' residential histories. We found consistent evidence that modeling arsenic exposures as a time-varying mixture provided better fit to the data than using a single arsenic exposure summary measure. We estimated several positive though not significant associations of the time-varying arsenic mixtures with bladder cancer having odds ratios (ORs) of 1.03-1.14 and identified many significant and positive associations for an interaction among those who consumed water from a private dug well (ORs 1.28-1.60). Arsenic exposures 40-50 years before study entry received elevated importance weights in these mixtures. Additionally, we found two small areas of elevated cumulative spatial risk for bladder cancer in southern New Hampshire and in south central Maine. These results emphasize the importance of considering time-varying mixtures of exposures for diseases with long latencies such as bladder cancer.
Collapse
Affiliation(s)
- Joseph Boyle
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, NH, USA
| | - Molly Schwenn
- Formerly of the Maine Department of Health and Human Services, Maine Cancer Registry, Augusta, ME, USA
| | | | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - David C Wheeler
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA
| |
Collapse
|
116
|
Bigambo FM, Chen Z, Yang W, Huang Q, Wang X. The effect of bisphenols on sex and thyroid hormone concentrations in cord blood among newborns. Food Chem Toxicol 2024; 189:114750. [PMID: 38777166 DOI: 10.1016/j.fct.2024.114750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/11/2024] [Accepted: 05/18/2024] [Indexed: 05/25/2024]
Abstract
This study aims to investigate the associations of bisphenols with sex and thyroid hormones in cord blood among newborns. Four bisphenols, three hormones related to gonadal function, and four parameters related to thyroid function were measured in umbilical cord blood in 378 mother-newborn pairs. Multivariable linear regression, quantile-based g-computation (QGC), and Bayesian kernel machine regression were used. In the multivariable linear regression, bisphenol A (BPA) was associated with increased testosterone (TT) (regression coefficient, β = 0.049, 95% confidence interval, CI: 0.013,0.085; p = 0.007) and free tri-iodothyronine (FT3) levels (β = 0.019, 95% CI: 0.003, 0.035; p = 0.023), and decreased thyroid peroxidase antibody (TPOAb) (β = -0.053, 95% CI: 0.098, -0.008; p = 0.021). Consistently associations were observed in males, except TT, which was observed in females, and bisphenol AF (BPAF) was associated with decreased follicle-stimulating hormone (FSH) in females. These associations were also observed in a mixture of bisphenols. Moreover, we observed maternal prepregnancy body mass index (BMI) and delivery mode disparity in the relationship between bisphenols and sex and thyroid hormones. This study suggests that bisphenols may exert effects on sex and thyroid hormones in newborns, the effect may vary with sex differences, maternal prepregnancy BMI, and delivery mode.
Collapse
Affiliation(s)
- Francis Manyori Bigambo
- Clinical Medical Research Center, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Zhaofang Chen
- Department of Emergency, Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Wentao Yang
- Department of Endocrinology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Qian Huang
- Department of Obstetrical, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
| | - Xu Wang
- Clinical Medical Research Center, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China.
| |
Collapse
|
117
|
Buckley JP, Zhou J, Marquess KM, Lanphear BP, Cecil KM, Chen A, Sears CG, Xu Y, Yolton K, Kalkwarf HJ, Braun JM, Kuiper JR. Per- and polyfluoroalkyl substances and bone mineral content in early adolescence: Modification by diet and physical activity. ENVIRONMENTAL RESEARCH 2024; 252:118872. [PMID: 38580001 PMCID: PMC11156547 DOI: 10.1016/j.envres.2024.118872] [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: 02/26/2024] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Per- and polyfluoroalkyl substance (PFAS) exposures may negatively impact bone mineral accrual, but little is known about potential mitigators of this relation. We assessed whether associations of PFAS and their mixture with bone mineral content (BMC) in adolescence were modified by diet and physical activity. METHODS We included 197 adolescents enrolled in a prospective pregnancy and birth cohort in Cincinnati, Ohio (2003-2006). At age 12 years, we collected serum for PFAS measurements and used dual-energy x-ray absorptiometry to measure BMC. We calculated dietary calcium intake and Health Eating Index (HEI) scores from repeated 24-h dietary recalls, physical activity scores using the Physical Activity Questionnaire for Older Children (PAQ-C), and average moderate to vigorous physical activity (MVPA) based on accelerometry. We estimated covariate-adjusted differences in BMC z-scores per interquartile range (IQR) increase of individual PFAS concentrations using linear regression and per simultaneous IQR increase in all four PFAS using g-computation. We evaluated effect measure modification (EMM) using interaction terms between each modifier and PFAS. RESULTS Higher serum perfluorooctanoic acid, perfluorooctanesulfonic acid, and perfluorononanoic acid concentrations and the PFAS mixture were associated with lower BMC z-scores. An IQR increase in all PFAS was associated with a 0.27 (-0.54, 0.01) lower distal radius BMC z-score. Associations with lower BMC were generally stronger among adolescents classified as < median for calcium intake, HEI scores, or MVPA compared to those ≥ median. The difference in distal radius BMC z-score per IQR increase in all PFAS was -0.38 (-0.72, -0.04) for those with CONCLUSION Healthy, calcium-rich diets and higher intensity physical activity may mitigate the adverse impact of PFAS on adolescent bone health.
Collapse
Affiliation(s)
- Jessie P Buckley
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Junyi Zhou
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Katherine M Marquess
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Vancouver, Canada
| | - Kim M Cecil
- Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Clara G Sears
- Christina Lee Brown Envirome Institute, Department of Medicine, Division of Environmental Medicine, University of Louisville, KY, USA
| | - Yingying Xu
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Heidi J Kalkwarf
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, USA
| | - Jordan R Kuiper
- Department of Environmental and Occupational Health, The George Washington University Milken Institute School of Public Health, Washington, D.C., USA
| |
Collapse
|
118
|
Jedynak P, Siroux V, Broséus L, Tost J, Busato F, Gabet S, Thomsen C, Sakhi AK, Sabaredzovic A, Lyon-Caen S, Bayat S, Slama R, Philippat C, Lepeule J. Epigenetic footprints: Investigating placental DNA methylation in the context of prenatal exposure to phenols and phthalates. ENVIRONMENT INTERNATIONAL 2024; 189:108763. [PMID: 38824843 DOI: 10.1016/j.envint.2024.108763] [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: 12/22/2023] [Revised: 04/22/2024] [Accepted: 05/18/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND Endocrine disrupting compounds (EDCs) such as phthalates and phenols can affect placental functioning and fetal health, potentially via epigenetic modifications. We investigated the associations between pregnancy exposure to synthetic phenols and phthalates estimated from repeated urine sampling and genome wide placental DNA methylation. METHODS The study is based on 387 women with placental DNA methylation assessed with Infinium MethylationEPIC arrays and with 7 phenols, 13 phthalates, and two non-phthalate plasticizer metabolites measured in pools of urine samples collected twice during pregnancy. We conducted an exploratory analysis on individual CpGs (EWAS) and differentially methylated regions (DMRs) as well as a candidate analysis focusing on 20 previously identified CpGs. Sex-stratified analyses were also performed. RESULTS In the exploratory analysis, when both sexes were studied together no association was observed in the EWAS. In the sex-stratified analysis, 114 individual CpGs (68 in males, 46 in females) were differentially methylated, encompassing 74 genes (36 for males and 38 for females). We additionally identified 28 DMRs in the entire cohort, 40 for females and 42 for males. Associations were mostly positive (for DMRs: 93% positive associations in the entire cohort, 60% in the sex-stratified analysis), with the exception of several associations for bisphenols and DINCH metabolites that were negative. Biomarkers associated with most DMRs were parabens, DEHP, and DiNP metabolite concentrations. Some DMRs encompassed imprinted genes including APC (associated with parabens and DiNP metabolites), GNAS (bisphenols), ZIM2;PEG3;MIMT1 (parabens, monoethyl phthalate), and SGCE;PEG10 (parabens, DINCH metabolites). Terms related to adiposity, lipid and glucose metabolism, and cardiovascular function were among the enriched phenotypes associated with differentially methylated CpGs. The candidate analysis identified one CpG mapping to imprinted LGALS8 gene, negatively associated with ethylparaben. CONCLUSIONS By combining improved exposure assessment and extensive placental epigenome coverage, we identified several novel genes associated with the exposure, possibly in a sex-specific manner.
Collapse
Affiliation(s)
- Paulina Jedynak
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France; ISGlobal, Barcelona, Spain
| | - Valérie Siroux
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Lucile Broséus
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, University Paris Saclay, Evry, France
| | - Florence Busato
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, University Paris Saclay, Evry, France
| | - Stephan Gabet
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France; Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483-IMPacts de l'Environnement Chimique sur la Santé (IMPECS), 59000 Lille, France
| | - Cathrine Thomsen
- Department of Food Safety, Norwegian Institue of Public Health, Oslo, Norway
| | - Amrit K Sakhi
- Department of Food Safety, Norwegian Institue of Public Health, Oslo, Norway
| | | | - Sarah Lyon-Caen
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Sam Bayat
- Department of Pulmonology and Physiology, CHU Grenoble Alpes, Grenoble, France
| | - Rémy Slama
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Claire Philippat
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France.
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| |
Collapse
|
119
|
Knobel P, Colicino E, Klog I, Litke R, Lane K, Federman A, Mobbs C, Sade MY. Social Vulnerability and Biological Aging in New York City: An Electronic Health Records-Based Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.29.24309707. [PMID: 38978670 PMCID: PMC11230307 DOI: 10.1101/2024.06.29.24309707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Chronological age is not an accurate predictor of morbidity and mortality risk, as individuals' aging processes are diverse. Phenotypic age acceleration (PhenoAgeAccel) is a validated biological age measure incorporating chronological age and biomarkers from blood samples commonly used in clinical practice that can better reflect aging-related morbidity and mortality risk. The heterogeneity of age-related decline is not random, as environmental exposures can promote or impede healthy aging. Social Vulnerability Index (SVI) is a composite index accounting for different facets of the social, economic, and demographic environment grouped into four themes: socioeconomic status, household composition and disability, minority status and language, and housing and transportation. We aim to assess the concurrent and combined associations of the four SVI themes on PhenoAgeAccel and the differential effects on disadvantaged groups. We use electronic health records data from 31,913 patients from the Mount Sinai Health System (116,952 person-years) and calculate PhenoAge for years with available laboratory results (2011-2022). PhenoAge is calculated as a weighted linear combination of lab results and PhenoAgeAccel is the differential between PhenoAge and chronological age. A decile increase in the mixture of SVI dimensions was associated with an increase of 0.23 years (95% CI: 0.21, 0.25) in PhenoAgeAccel. The socioeconomic status dimension was the main driver of the association, accounting for 61% of the weight. Interaction models revealed a more substantial detrimental association for women and racial and ethnic minorities with differences in leading SVI themes. These findings suggest that neighborhood-level social vulnerability increases the biological age of its residents, increasing morbidity and mortality risks. Socioeconomic status has the larger detrimental role amongst the different facets of social environment.
Collapse
|
120
|
Chen Z, Wu R, Wei D, Wu X, Ma C, Shi J, Geng J, Zhao M, Guo Y, Xu H, Zhou Y, Zeng X, Huo W, Wang C, Mao Z. New findings on the risk of hypertension from organophosphorus exposure under different glycemic statuses: The key role of lipids? THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 930:172711. [PMID: 38688361 DOI: 10.1016/j.scitotenv.2024.172711] [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: 03/01/2024] [Revised: 04/15/2024] [Accepted: 04/21/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND AND OBJECTIVE Considering the widespread use of organophosphorus pesticides (OPs) and the global prevalence of hypertension (HTN), as well as studies indicating that different glycemic statuses may respond differently to the biological effects of OPs. Therefore, this study, based on the Henan rural cohort, aims to investigate the association between OPs exposure and HTN, and further explores whether lipids mediate these associations. METHODS We measured the plasma levels of OPs in 2730 participants under different glycemic statuses using gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS). A generalized linear model, Quantile g-computation (QGC), adaptive elastic net (AENET), and Bayesian kernel machine regression (BKMR) models were used to assess the impact of OPs exposure on HTN, with least absolute shrinkage and selection operator (LASSO) penalty regression identifying main OPs. Mediation models were used to evaluate the intermediary role of blood lipids in the OPs-HTN relationship. RESULTS The detection rates for all OPs were high, ranging from 76.35 % to 99.17 %. In the normal glucose tolerance (NGT) population, single exposure models indicated that malathion and phenthoate were associated with an increased incidence of HTN (P-FDR < 0.05), with corresponding odds ratios (ORs) and 95 % confidence intervals (CIs) of 1.624 (1.167,2.260) and 1.290 (1.072,1.553), respectively. QGC demonstrated a positive association between OP mixtures and HTN, with malathion and phenthoate being the primary contributors. Additionally, the AENET model's Exposure Response Score (ERS) suggested that the risk of HTN increases with higher ERS (P < 0.001). Furthermore, BKMR revealed that co-exposure to OPs increases HTN risk, with phenthoate having a significant impact. Furthermore, triglycerides (TG) mediated 6.55 % of the association between phenthoate and HTN. However, no association was observed in the impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM) populations. CONCLUSIONS Our findings suggest that in the NGT population, OPs may significantly contribute to the development of HTN, proposing TG as a potential novel target for HTN prevention.
Collapse
Affiliation(s)
- Zhiwei Chen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruihong Wu
- School of Computer Science and Technology, East China Normal University; Information Department, First Affiliated Hospital of Henan University of Chinese Medicine, PR China
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Cuicui Ma
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jiayu Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jintian Geng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Mengzhen Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yao Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Haoran Xu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yilin Zhou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xin Zeng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Occupational and Environmental Health Sciences, 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.
| |
Collapse
|
121
|
Chen Y, Zhang Z, He G, Liang H, Song X, Xi J, Wen S, Yuan W, Wang Z, Miao M. Associations of prenatal exposure to bisphenols with infant anthropometry: A prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 930:172409. [PMID: 38636856 DOI: 10.1016/j.scitotenv.2024.172409] [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: 02/21/2024] [Revised: 04/09/2024] [Accepted: 04/09/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Bisphenols (BPs) have been shown to exhibit developmental toxicities. Epidemiological evidence on prenatal BPs exposure and infant growth primarily confined scopes to specific BPs and birth outcomes, with few studies focusing on infant growth and reporting inconsistent findings. The joint effect of prenatal exposure to BPs mixture on infant growth was rarely studied. OBJECTIVE This study examined associations of prenatal exposure to individual bisphenol A (BPA) and its analogues (bisphenol F [BPF], bisphenol S [BPS], bisphenol AF [BPAF], and tetrachlorobisphenol A [TCBPA]) and their mixture with infant growth. METHODS Urinary concentrations of BPs in pregnant women were quantified. Weight, body mass index, skinfold thickness, and circumference measurements of infants were collected at birth, 6 and 12 months of age, rapid growth and overweight were further defined. Multiple linear regression models and Bayesian kernel machine regression models (BKMR) were used to analyze associations of exposure to individual BPs and BPs mixture with infants' anthropometric measurements, and to identify the important components among mixture. The risks for rapid growth and overweight of each BP were determined using modified Poisson regression models. RESULTS A general profile of higher prenatal BPs exposure (mainly BPA, BPF, and BPS) associated with higher anthropometric measurements and higher risks of overweight during infancy was found. We also observed higher risks of rapid growth in infants following prenatal BPs exposure, with risk ratios ranging from 1.46 to 1.91. The joint effect of BPs mixture and single effect of each BP from the BKMR models were consistent with findings from the linear regression models, further suggesting that associations in girls were generally driven by BPA, BPF, or BPS, while in boys mainly by BPF. CONCLUSION Prenatal exposure to BPs and their mixture could increase anthropometric measurements of offspring during infancy, with implications of altered growth trajectory in future.
Collapse
Affiliation(s)
- Yao Chen
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China
| | - Zhaofeng Zhang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China
| | - Gengsheng He
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, No.130, Dong An Road, Shanghai 200032, China
| | - Hong Liang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China
| | - Xiuxia Song
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China
| | - Jianya Xi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China
| | - Sheng Wen
- Hubei Provincial Key Laboratory of Applied Toxicology, National Reference Laboratory of Dioxin, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Wei Yuan
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China
| | - Ziliang Wang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China.
| | - Maohua Miao
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Department of Public Health, Fudan University, Shanghai 200237, China
| |
Collapse
|
122
|
Wang H, Zhang Y, Sun L, Guo X, Liu Q, Li J, Tian Z, Cheng X, Wang Y, Li H, Hu B, Sheng J, Qu G, Chen G, Liu X, Lin W, Tao F, Yang L. Associations of toxic metals and their mixture with hyperuricemia in Chinese rural older adults. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:256. [PMID: 38884822 DOI: 10.1007/s10653-024-02035-x] [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: 02/27/2024] [Accepted: 05/14/2024] [Indexed: 06/18/2024]
Abstract
Previous studies have related single toxic metals (TMs) to hyperuricemia (HUA) among the general population, however, the association of the TM mixture with HUA, especially in older adults, remains poorly understood. We aimed to examine the relationships between individual TMs and their mixture and HUA in Chinese rural older adults. This study consisted of 2075 rural older adults aged 60 years or over. Blood concentrations of aluminum (Al), arsenic (As), barium (Ba), cadmium (Cd), cesium (Cs), gallium (Ga), mercury (Hg), lead (Pb), thallium (Tl), and uranium (U) were detected using inductively coupled plasma mass spectrometry. The associations of single TMs with HUA were assessed using logistic regression and restricted cubic spline (RCS) models, and the association of TM mixture with HUA was explored using the elastic net with environmental risk score (ENET-ERS), quantile g-computation (QGC), and Bayesian kernel machine regression (BKMR) models, respectively. Adjusted logistic regression model showed that Cs (OR = 1.65, 95% CI 1.37-1.99) and Pb (OR = 1.46, 95% CI 1.28-1.67) were positively related to HUA, and RCS model exhibited a positive linear association of Cs and Pb with HUA. ENET-ERS and QGC models quantified a positive correlation between the TM mixture and the odds of HUA, with estimated ORs of 1.15 (95% CI 1.11-1.19) and 1.84 (95% CI 1.37-2.47), respectively, and Cs and Pb had the most weight. BKMR model demonstrated a significant linear association between the TM mixture and increased odds of HUA, with the posterior inclusion probabilities (PIPs) of both Cs and Pb being 1.00. Moreover, we observed a positive interaction between Cs and Pb on HUA. The TM mixture is associated with increased odds of HUA in rural older adults, which may mainly be driven by Cs and Pb. Subsequent studies are warranted to confirm these findings and clarify the mechanisms linking multiple TMs with HUA.
Collapse
Affiliation(s)
- Hongli Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Liang Sun
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Qiang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Junzhe Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Ziwei Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xuqiu Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yuan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Huaibiao Li
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Bing Hu
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Jie Sheng
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Guangbo Qu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Guimei Chen
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xuechun Liu
- Department of Neurology, The Second People's Hospital of Hefei, Hefei, 230011, Anhui, China
| | - Wenbo Lin
- Second School of Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Linsheng Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230032, Anhui, China.
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China.
| |
Collapse
|
123
|
Zhu Y, Ying T, Xu M, Chen Q, Wu M, Liu Y, He G. Joint B Vitamin Intake and Type 2 Diabetes Risk: The Mediating Role of Inflammation in a Prospective Shanghai Cohort. Nutrients 2024; 16:1901. [PMID: 38931256 PMCID: PMC11206684 DOI: 10.3390/nu16121901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 06/06/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND AND AIMS Type 2 diabetes (T2D) is a global and complex public health challenge, and dietary management is acknowledged as critical in its prevention. Recent studies have highlighted the involvement of micronutrients in T2D pathophysiology; our study aims to assess the association between B vitamin intake and T2D risks and the mediating role of inflammation. METHODS In a prospective cohort design, data on B vitamins intake, including thiamine (B1), riboflavin (B2), niacin (B3), pyridoxine (B6), folate (B9), and cobalamin (B12), was obtained using a validated food frequency questionnaire (FFQ), and blood inflammatory biomarkers were analyzed according to standard protocol in the local hospitals at baseline from 44,960 adults in the Shanghai Suburban Adult Cohort and Biobank (SSACB). Incident T2D cases were identified according to a physician's diagnosis or medication records from the electronic medical information system. We employed logistic and weighted quantile sum regression models to explore the associations of single and combined levels of B vitamins with T2D and mediation analyses to investigate the effects of inflammation. RESULTS Negative correlations between B vitamins and T2D were observed in the single-exposure models, except for B3. The analyses of joint exposure (B1, B2, B6, B9, and B12) also showed an inverse association (OR 0.80, 95% CI 0.71 to 0.88), with vitamin B6 accounting for 45.58% of the effects. Further mediation analysis indicated a mediating inflammatory impact, accounting for 6.72% of the relationship. CONCLUSIONS Dietary intake of B vitamins (B1, B2, B6, B9, B12) was associated with a reduced T2D risk partially mediated by inflammation in Shanghai residents.
Collapse
Affiliation(s)
| | | | | | | | | | - Yuwei Liu
- Key Laboratory of Public Health Safety of the Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China; (Y.Z.)
| | - Gengsheng He
- Key Laboratory of Public Health Safety of the Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China; (Y.Z.)
| |
Collapse
|
124
|
Yin G, Zhao S, Zhao M, Xu J, Ge X, Wu J, Zhou Y, Liu X, Wei L, Xu Q. Complex interplay of heavy metals and renal injury: New perspectives from longitudinal epidemiological evidence. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 278:116424. [PMID: 38723382 DOI: 10.1016/j.ecoenv.2024.116424] [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: 02/03/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Epidemiological studies have reported associations between heavy metals and renal function. However, longitudinal studies are required to further validate these associations and explore the interactive effects of heavy metals on renal function and their directional influence. METHOD This study, conducted in Northeast China from 2016 to 2021, included a four-time repeated measures design involving 384 participants (1536 observations). Urinary concentrations of chromium (Cr), cadmium (Cd), manganese (Mn), and lead (Pb) were measured, along with renal biomarkers including urinary microalbumin (umAlb), urinary albumin-to-creatinine ratio (UACR), N-acetyl-β-D-glucosaminidase (NAG), and β2-microglobulin (β2-MG) levels. Estimated glomerular filtration rate (eGFR) was calculated. A Linear Mixed Effects Model (LME) examined the association between individual metal exposure and renal biomarkers. Subsequently, Quantile g-computation and Bayesian Kernel Machine Regression (BKMR) models assessed the overall effects of heavy metal mixtures. Marginal Effect models examined the directional impact of metal interactions in the BKMR on renal function. RESULT Results indicate significant impacts of individual and combined exposures of Cr, Cd, Pb, and Mn on renal biomarkers. Metal interactions in the BKMR model were observed, with synergistic effects of Cd-Cr on NAG, umAlb, UACR; Cd-Pb on NAG, UACR; Pb-Cr on umAlb, UACR, eGFR-MDRD, eGFR-EPI; and an antagonistic effect of Mn-Pb-Cr on UACR. CONCLUSION Both individual and combined exposures to heavy metals are associated with renal biomarkers, with significant synergistic interactions leading to renal damage. Our findings elucidate potential interactions among these metals, offering valuable insights into the mechanisms linking multiple metal exposures to renal injury.
Collapse
Affiliation(s)
- Guohuan Yin
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Shuanzheng Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Yifan Zhou
- Civil Aviation Medicine Center, Civil Aviation Administration of China, Beijing 100123, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou, Liaoning 121001, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou, Liaoning 121001, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China.
| |
Collapse
|
125
|
Bai T, Li X, Zhang H, Yang W, Lv C, Du X, Xu S, Zhao A, Xi Y. The association between brominated flame retardants exposure with bone mineral density in US adults: A cross-sectional study of the national health and nutrition examination survey (NHANES) 2005-2014. ENVIRONMENTAL RESEARCH 2024; 251:118580. [PMID: 38423496 DOI: 10.1016/j.envres.2024.118580] [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: 12/15/2023] [Revised: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND AND AIMS Exposure to brominated flame retardants (BFRs) has been widely confirmed to impair the normal functioning of the human body system. However, there is a paucity of study on the effects of serum BFRs on bone mineral density (BMD). This study aims to investigate the relationship between exposure to BFRs and BMD in a nationally representative sample of U.S. adults. METHODS 3079 participants aged between 20 and 80 years with complete data were included in the study. Serum levels of BFRs were measured using automated liquid-liquid extraction and subsequent sample clean-up. The BMD of all participants were assessed by DXA examinations. Generalize linear model, Restricted cubic spline (RCS), subgroup, weighted quantile sum (WQS) and bayesian kernel machine regression (BKMR) were used to estimate the association between serum BFRs and BMD. RESULTS Multivariate linear regression analyses revealed that, after adjusting for covariates, PBB153 was significantly associated with TF-BMD (β = 0.0177, 95%CI: 0.0103-0.0252), FN-BMD (β = 0.009, 95%CI: 0.0036-0.0145), TS-BMD (β = 0.0081, 95%CI: 0.0013-0.015) and L1-BMD (β = 0.0144, 95%CI: 0.0075-0.0213). However, the associations lose their statistical significance after further adjustment for sex. BFRs exhibited S-shaped or line-plateau dose-response curves with BMD. In subgroup analyses, BFRs were significantly associated with BMD in participants who were younger than 55 years, female, overweight (BMI >25 kg/m2), and less alcohol consumption. In WQS and BKMR analyses, the effects of BFRs mixtures on BMD differed by sex, and PBDE153, PBDE209 and PBB153 had the highest weights in the WQS regression model. CONCLUSION This study showed that serum BFRs negatively predicted BMD in men, but not in women or the general population. PBDE153, PBDE209, and PBB153 were significant BMD factors, especially in younger, overweight, and less alcohol consumption individuals.
Collapse
Affiliation(s)
- Tianyu Bai
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Xiangjun Li
- Breast Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
| | - Han Zhang
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Wenkang Yang
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Changlin Lv
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Xiaofan Du
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Shiqi Xu
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Aiping Zhao
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| | - Yongming Xi
- Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
| |
Collapse
|
126
|
Guo JY, Wang SN, Zhang ZL, Luan M. Associations between organophosphate esters and bone mineral density in adults in the United States: 2011-2018 NHANES. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 278:116414. [PMID: 38714086 DOI: 10.1016/j.ecoenv.2024.116414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/18/2024] [Accepted: 04/28/2024] [Indexed: 05/09/2024]
Abstract
BACKGROUND Organophosphate esters (OPEs) are used extensively as flame retardants and plasticizers. Laboratory studies have shown that OPEs exhibit osteotoxicity by inhibiting osteoblast differentiation; however, little is known about how OPEs exposure is associated with bone health in humans. OBJECTIVES We conducted a cross-sectional study to investigate the association between OPEs exposure and bone mineral density (BMD) in adults in the United States using data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES). METHODS Multivariate linear regression models were used to assess the association between concentrations of individual OPE metabolites and BMDs. We also used the Bayesian kernel machine regression (BKMR) and quantile g-computation (qgcomp) models to estimate joint associations between OPE mixture exposure and BMDs. All the analyses were stratified according to gender. RESULTS A total of 3546 participants (median age, 40 years [IQR, 30-50 years]; 50.11% male) were included in this study. Five urinary OPE metabolites with a detection rate of > 50% were analyzed. After adjusting for the potential confounders, OPE metabolite concentrations were associated with decreased total-body BMD and lumbar spine BMD in males, although some associations only reached significance for bis(1-chloro-2-propyl) phosphate (BCPP), dibutyl phosphate (DBUP), and bis(2-chloroethyl) phosphate (BCEP) (β = -0.013, 95% CI: -0.026, -0.001 for BCPP and total-body BMD; β = -0.022, 95% CI: -0.043, -0.0001 for DBUP and lumbar spine BMD; β=-0.018, 95% CI: -0.034, -0.002 for BCEP and lumbar spine BMD). OPE mixture exposure was also inversely associated with BMD in males, as demonstrated in the BMKR and qgcomp models. CONCLUSIONS This study provides preliminary evidence that urinary OPE metabolite concentrations are inversely associated with BMD. The results also suggested that males were more vulnerable than females. However, further studies are required to confirm these findings.
Collapse
Affiliation(s)
- Jing-Yi Guo
- Department of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Su-Na Wang
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhen-Lin Zhang
- Department of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Min Luan
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
127
|
Qian T, Zhang J, Liu J, Wu J, Ruan Z, Shi W, Fan Y, Ye D, Fang X. Associations of phthalates with accelerated aging and the mitigating role of physical activity. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 278:116438. [PMID: 38744065 DOI: 10.1016/j.ecoenv.2024.116438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/06/2024] [Accepted: 05/03/2024] [Indexed: 05/16/2024]
Abstract
Phthalates are positioned as potential risk factors for health-related diseases. However, the effects of exposure to phthalates on accelerated aging and the potential modifications of physical activity remain unclear. A total of 2317 participants containing complete study-related information from the National Health and Nutrition Examination Survey 2007-2010 were included in the current study. We used two indicators, the Klemera-Doubal method biological age acceleration (BioAgeAccel) and phenotypic age acceleration (PhenoAgeAccel), to assess the accelerated aging status of the subjects. Multiple linear regression (single pollutant models), weighted quantile sum (WQS) regression, Quantile g-computation, and Bayesian kernel machine regression (BKMR) models were utilized to explore the associations between urinary phthalate metabolites and accelerated aging. Three groups of physical activity with different intensities were used to evaluate the modifying effects on the above associations. Results indicated that most phthalate metabolites were significantly associated with BioAgeAccel and PhenoAgeAccel, with effect values (β) ranging from 0.16 to 0.21 and 0.16-0.37, respectively. The WQS indices were positively associated with BioAgeAccel (0.33, 95% CI: 0.11, 0.54) and PhenoAgeAccel (0.50, 95% CI: 0.19, 0.82). Quantile g-computation indicated that phthalate mixtures were associated with accelerated aging, with effect values of 0.15 (95% CI: 0.02, 0.28) for BioAgeAccel and 0.39 (95% CI: 0.12, 0.67) for PhenoAgeAccel respectively. The BKMR models indicated a significant positive association between the concentrations of urinary phthalate mixtures with the two indicators. In addition, we found that most phthalate metabolites showed the strongest effects on accelerated aging in the no physical activity group and that the effects decreased gradually with increasing levels of physical activity (P < 0.05 for trend). Similar results were also observed in the mixed exposure models (WQS and Quantile g-computation). This study indicates that phthalates exposure is associated with accelerated aging, while physical activity may be a crucial barrier against phthalates exposure-related aging.
Collapse
Affiliation(s)
- Tingting Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jie Zhang
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui 231131, China; Key Laboratory of Industrial Dust Prevention and Control, Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, Hefei, Anhui 231131, China; Anhui Institute of Occupational Safety and Health, Anhui University of Science and Technology, Hefei, Anhui 231131, China; Joint Research Center of Occupational Medicine and Health, Institute of Grand Health, Hefei Comprehensive National Science Center, Anhui University of Science and Technology, Hefei, Anhui 231131, China
| | - Jintao Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jingwei Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Zhaohui Ruan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Wenru Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yinguang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China.
| | - Dongqing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; School of Public Health, Anhui University of Science and Technology, Hefei, Anhui 231131, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China; Key Laboratory of Industrial Dust Prevention and Control, Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, Hefei, Anhui 231131, China; Anhui Institute of Occupational Safety and Health, Anhui University of Science and Technology, Hefei, Anhui 231131, China; Joint Research Center of Occupational Medicine and Health, Institute of Grand Health, Hefei Comprehensive National Science Center, Anhui University of Science and Technology, Hefei, Anhui 231131, China.
| | - Xinyu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China.
| |
Collapse
|
128
|
Lu M, Gan H, Zhou Q, Han F, Wang X, Zhang F, Tong J, Huang K, Gao H, Yan S, Jin Z, Wang Q, Tao F. Trimester-specific effect of maternal co-exposure to organophosphate esters and phthalates on preschooler cognitive development: The moderating role of gestational vitamin D status. ENVIRONMENTAL RESEARCH 2024; 251:118536. [PMID: 38442813 DOI: 10.1016/j.envres.2024.118536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/12/2024] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
Organophosphate esters (OPEs) and phthalate acid esters (PAEs) are prevalent endocrine-disrupting chemicals (EDCs). Humans are often exposed to OPEs and PAEs simultaneously through multiple routes. Given that fetal stage is a critical period for neurodevelopment, it is necessary to know whether gestational co-exposure to OPEs and PAEs affects fetal neurodevelopment. However, accessible epidemiological studies are limited. The present study included 2, 120 pregnant women from the Ma'anshan Birth Cohort (MABC) study. The concentrations of tris (2-chloroethyl) phosphate (TCEP), 6 OPE metabolites and 7 PAE metabolites were measured in the first, second and third trimester using ultra-performance liquid chromatography-tandem mass spectrometry (LC-MS). Cognitive development of preschooler was assessed based on the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition (WPPSI-IV) of the Chinese version. Generalized estimating equations (GEEs), restricted cubic spline (RCS) and generalized additive models (GAMs) were employed to explore the associations between individual OPE exposure and preschooler cognitive development. The quantile-based g-computation (QGC) method was used to estimate the joint effect of PAEs and OPEs exposure on cognitive development. GEEs revealed significant adverse associations between diphenyl phosphate (DPHP) (β: -0.58, 95% CI: -1.14, -0.01), bis (2-butoxyethyl) phosphate(BBOEP) (β: -0.44, 95% CI: -0.85, -0.02), bis(1-chloro-2-propyl) phosphate (BCIPP) (β: -0.81, 95%CI: -1.43, -0.20) and full-scale intelligence quotient (FSIQ) in the first trimester; additionally, TCEP and bis(2-ethylhexyl) phosphate (BEHP) in the second trimester, as well as DPHP in the third trimester, were negatively associated with cognitive development. Through the QGC analyses, mixture exposure in the first trimester was negatively associated with FSIQ scores (β: -1.70, 95% CI: -3.06, -0.34), mono-butyl phthalate (MBP), BCIPP, and DPHP might be the dominant contributors after controlling for other OPEs and PAEs congeners. Additionally, the effect of OPEs and PAEs mixture on cognitive development might be driven by vitamin D deficiency.
Collapse
Affiliation(s)
- Mengjuan Lu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hong Gan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Qiong Zhou
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Feifei Han
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xiaorui Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Fu Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Juan Tong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Kun Huang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hui Gao
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Shuangqin Yan
- Ma'anshan Maternal and Child Healthcare (MCH) Center, Ma'anshan, 243011, China
| | - Zhongxiu Jin
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Qunan Wang
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
| |
Collapse
|
129
|
Amadou A, Giampiccolo C, Bibi Ngaleu F, Praud D, Coudon T, Grassot L, Faure E, Couvidat F, Frenoy P, Severi G, Romana Mancini F, Roy P, Fervers B. Multiple xenoestrogen air pollutants and breast cancer risk: Statistical approaches to investigate combined exposures effect. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 351:124043. [PMID: 38679129 DOI: 10.1016/j.envpol.2024.124043] [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: 08/07/2023] [Revised: 02/10/2024] [Accepted: 04/23/2024] [Indexed: 05/01/2024]
Abstract
Studies suggested that exposure to air pollutants, with endocrine disrupting (ED) properties, have a key role in breast cancer (BC) development. Although the population is exposed simultaneously to a mixture of multiple pollutants and ED pollutants may act via common biological mechanisms leading to synergic effects, epidemiological studies generally evaluate the effect of each pollutant separately. We aimed to assess the complex effect of exposure to a mixture of four xenoestrogen air pollutants (benzo-[a]-pyrene (BaP), cadmium, dioxin (2,3,7,8-Tétrachlorodibenzo-p-dioxin TCDD)), and polychlorinated biphenyl 153 (PCB153)) on the risk of BC, using three recent statistical methods, namely weighted quantile sum (WQS), quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR). The study was conducted on 5222 cases and 5222 matched controls nested within the French prospective E3N cohort initiated in 1990. Annual average exposure estimates to the pollutants were assessed using a chemistry transport model, at the participants' residence address between 1990 and 2011. We found a positive association between the WQS index of the joint effect and the risk of overall BC (adjusted odds ratio (OR) = 1.10, 95% confidence intervals (CI): 1.03-1.19). Similar results were found for QGC (OR = 1.11, 95%CI: 1.03-1.19). Despite the association did not reach statistical significance in the BKMR model, we observed an increasing trend between the joint effect of the four pollutants and the risk of BC, when fixing other chemicals at their median concentrations. BaP, cadmium and PCB153 also showed positive trends in the multi-pollutant mixture, while dioxin showed a modest inverse trend. Despite we found a clear evidence of a positive association between the joint exposure to pollutants and BC risk only from WQS and QGC regression, we observed a similar suggestive trend using BKMR. This study makes a major contribution to the understanding of the joint effects of air pollution.
Collapse
Affiliation(s)
- Amina Amadou
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France.
| | - Camille Giampiccolo
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Université Claude Bernard Lyon 1, Lyon, France; Service de Biostatistique-Bioinformatique, Pole Sante Publique, Hospices Civils de Lyon, Lyon, France; Laboratoire de Biometrie Et Biologie Evolutive, CNRS UMR 5558, Villeurbanne, France
| | - Fabiola Bibi Ngaleu
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France; Université Claude Bernard Lyon 1, Lyon, France
| | - Delphine Praud
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Thomas Coudon
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Lény Grassot
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Elodie Faure
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Florian Couvidat
- National Institute for industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France
| | - Pauline Frenoy
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Gianluca Severi
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications (DISIA), University of Florence, Italy
| | - Francesca Romana Mancini
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France.
| | - Pascal Roy
- Université Claude Bernard Lyon 1, Lyon, France; Service de Biostatistique-Bioinformatique, Pole Sante Publique, Hospices Civils de Lyon, Lyon, France; Laboratoire de Biometrie Et Biologie Evolutive, CNRS UMR 5558, Villeurbanne, France
| | - Béatrice Fervers
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France.
| |
Collapse
|
130
|
Rodríguez-Carrillo A, Remy S, Koppen G, Wauters N, Mustieles V, Desalegn A, Iszatt N, den Hond E, Verheyen VJ, Fábelová L, Murinova LP, Pedraza-Díaz S, Esteban M, Poyatos RM, Govarts E, van Nuijs ALN, Covaci A, Schoeters G, Olea N, Fernández MF. Urinary phthalate/DINCH metabolites associations with kisspeptin and reproductive hormones in teenagers: A cross-sectional study from the HBM4EU aligned studies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172426. [PMID: 38631641 DOI: 10.1016/j.scitotenv.2024.172426] [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: 12/22/2023] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Exposure to phthalate/DINCH metabolites can induce human reproductive toxicity, however, their endocrine-disrupting mechanisms are not fully elucidated. OBJECTIVE To investigate the association between concentrations of phthalate/DINCH metabolites, serum kisspeptin, and reproductive hormones among European teenagers from three of the HBM4EU Aligned Studies. METHODS In 733 Belgian (FLEHS IV study), Slovak (PCB cohort follow-up), and Spanish (BEA study) teenagers, ten phthalate and two DINCH metabolites were measured in urine by high-performance liquid chromatography-tandem mass spectrometry. Serum kisspeptin (kiss54) protein, follicle-stimulating hormone (FSH), total testosterone (TT), estradiol (E2), and sex hormone-binding globulin (SHBG) levels were measured by immunosorbent assays. Free Androgen Index (FAI) was calculated as a proxy of free testosterone. Adjusted sex-stratified linear regression models for individual studies, mixed effect models (LME) accounting for random effects for pooled studies, and g-computation and Bayesian kernel machine regression (BKMR) models for the phthalate/DINCH mixture were performed. RESULTS The LME suggested that each IQR increase in ln-transformed levels of several phthalates was associated with lower kisspeptin [MnBP: %change (95%CI): -2.8 (-4.2;-0.4); MEHP: -1.4 (-3.4,0.2)] and higher FSH [∑DINP: 11.8 (-0.6;25.1)] levels in females from pooled studies. G-computation showed that the phthalates/DINCH mixture was associated with lower kisspeptin [-4.28 (-8.07;-0.34)] and higher FSH [22.13 (0.5;48.4)] also in females; BKMR showed similar although non-significant pattern. In males, higher phthalates metabolites [MEHP: -12.22 (-21.09;-1.18); oxo-MEHP: -12.73 (-22.34;-1.93)] were associated with lower TT and FAI, although higher DINCH [OH-MINCH: 16.31 (6.23;27.35), cx-MINCH: 16.80 (7.03;27.46), ∑DINCH: 17.37 (7.26;29.74)] were associated with higher TT levels. No mixture associations were found in males. CONCLUSION We observed sex-specific associations between urinary concentrations of phthalate/DINCH metabolites and the panel of selected effect biomarkers (kisspeptin and reproductive hormones). This suggests that exposure to phthalates would be associated with changes in kisspeptin levels, which would affect the HPG axis and thus influence reproductive health. However, further research is needed, particularly for phthalate replacements such as DINCH.
Collapse
Affiliation(s)
- Andrea Rodríguez-Carrillo
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium; Toxicological Centre, University of Antwerp, Universiteitsplein, 1, 2610 Wilrijk, Belgium
| | - Sylvie Remy
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium
| | - Gudrun Koppen
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium
| | - Natasha Wauters
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium
| | - Vicente Mustieles
- Biomedical Research Center & School of Medicine, University of Granada, 18016 Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Spain
| | - Anteneh Desalegn
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Norway
| | - Nina Iszatt
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Norway
| | | | - Veerle J Verheyen
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium
| | - Lucia Fábelová
- Department of Environmental Medicine, Faculty of Public Health, Slovak Medical University, Bratislava, Slovakia
| | - Lubica Palkovicova Murinova
- Department of Environmental Medicine, Faculty of Public Health, Slovak Medical University, Bratislava, Slovakia
| | - Susana Pedraza-Díaz
- National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Esteban
- National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Rafael M Poyatos
- Unidad de Gestión Clínica de Laboratorios, Hospital Universitario Clínico San Cecilio, Granada, Spain
| | - Eva Govarts
- VITO Health, Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium
| | | | - Adrian Covaci
- Toxicological Centre, University of Antwerp, Universiteitsplein, 1, 2610 Wilrijk, Belgium
| | - Greet Schoeters
- Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18016 Granada, Spain
| | - Nicolás Olea
- Biomedical Research Center & School of Medicine, University of Granada, 18016 Granada, Spain; Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18016 Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Spain
| | - Mariana F Fernández
- Biomedical Research Center & School of Medicine, University of Granada, 18016 Granada, Spain; Department of Radiology and Physical Medicine, School of Medicine, University of Granada, 18016 Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Spain.
| |
Collapse
|
131
|
Zhu S, Zhang F, Xie X, Zhu W, Tang H, Zhao D, Ruan L, Li D. Association between long-term exposure to fine particulate matter and its chemical constituents and premature death in individuals living with HIV/AIDS. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 351:124052. [PMID: 38703976 DOI: 10.1016/j.envpol.2024.124052] [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: 10/26/2023] [Revised: 04/21/2024] [Accepted: 04/24/2024] [Indexed: 05/06/2024]
Abstract
Long-term exposure to fine particulate matter (PM2.5) is associated with an increased total mortality. However, the association of PM2.5 with mortality in people living with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS, PLWHA) and the relationship between its constituents and adverse outcomes remain unknown. In this cohort study, 28,140 PLWHA were recruited from the HIV/AIDS Comprehensive Response Information Management System of the Hubei Provincial Centre for Disease Control and Prevention in China between 2001 and 2020. The annual PM2.5 chemical composition data, including sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), black carbon (BC), and organic matter (OM), was extracted from the Tracking Air Pollution (TAP) dataset in China. A Cox proportional hazard model with time-varying exposure and time-to-event quantile-based generalized (g) computation was used to assess the associations between PM2.5 chemical constituents, and mortality in PLWHA. A multivariate Cox proportional hazard model estimated an excess hazard ratio (eHR) of 0.32% [95% confidence interval (CI): (0.01%, 0.64%)] for AIDS-related death (ARD), associated with 1 μg/m3 rise in PM2.5 exposure. An increase of 1 μg/m3 in NH4+ was associated with 5.13% [95% CI: (2.89%, 7.43%)] and 2.97% [95% CI: (1.52%, 4.44%)] increase in the risk of ARD and all-cause deaths (ACD), respectively. When estimated using survival-based quantile g-computation, the eHR for ARD with a joint change in a decile increase in all five components was 6.10% [95% CI: 3.77%, 8.48%)]. Long-term exposure to PM2.5 chemical composition, particularly NH4+ increased the risk of death in PLWHA. This study provides epidemiological evidence that SO42- and NH4+ increased the risk of ARD and that NH4+ increased the risk of ACD in PLWHA. Multi-constituent analyses further suggested that NH4+ may be a key component in increasing the risk of premature death in patients with HIV/AIDS. Individuals aged ≥65 with HIV/AIDS are more vulnerable to SO42-, and consequent ACD.
Collapse
Affiliation(s)
- Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Xiaoxin Xie
- Guiyang Public Health Treatment Center, Guiyang, 550004, China
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Heng Tang
- Institute for the Prevention and Control of HIV/AIDS, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Dingyuan Zhao
- Institute for the Prevention and Control of HIV/AIDS, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Lianguo Ruan
- Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, 430023, China
| | - Dejia Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
| |
Collapse
|
132
|
Frndak S, Deng Z, Ward-Caviness CK, Gorski-Steiner I, Thorpe RJ, Dickerson AS. Risk of dementia due to Co-exposure to air pollution and neighborhood disadvantage. ENVIRONMENTAL RESEARCH 2024; 251:118709. [PMID: 38493859 DOI: 10.1016/j.envres.2024.118709] [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: 11/11/2023] [Revised: 03/06/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Co-exposure to air pollution and neighborhood disadvantage may influence cognition decline. We tested these associations in the context of dementia risk. METHODS We leveraged a cohort of adults ≥65 years (n = 5397) enrolled from 2011 to 2018 in the National Health and Aging Trends Study (NHATS). Particulate matter (PM) ≤ 10 μm in diameter, PM ≤ 2.5 μm in diameter, carbon monoxide, nitric oxide, and nitrogen dioxide - and neighborhood disadvantage were tested for joint associations with dementia risk. Pollutant concentrations at the 2010 census tract level were assigned using the US Environmental Protection Agency's Community Multiscale Air Quality Modeling System. Neighborhood disadvantage was defined using the tract Social Deprivation Index (SDI). Dementia was determined through self- or proxy-report or scores indicative of "probable dementia" according to NHATS screening tools. Joint effects of air pollutants and SDI were tested using quantile g-computation Cox proportional hazards models. We also stratified joint air pollution effects across SDI tertiles. Analyses adjusted for age at enrollment, sex, education, partner status, urbanicity, income, race and ethnicity, years at residence, census segregation, and census region. RESULTS SDI score (aHR = 1.08; 95% CI 0.96, 1.22), joint air pollution (aHR = 1.03, 95% CI 0.92, 1.16) and joint SDI with air pollution (aHR = 1.04, 95% CI 0.89, 1.22) were not associated with dementia risk. After accounting for competing risk of death, joint SDI with air pollution was not associated with dementia risk (aHR = 1.06; 95% CI 0.87, 1.29). In stratified models, joint air pollution was associated with greater risk of dementia at high (aHR = 1.19; 95% CI 0.87, 1.63), but not at medium or low SDI. CONCLUSION Air pollution was associated with greater dementia risk in disadvantaged areas after accounting for competing risks. Air pollution associations with dementia incidence may be attenuated when other risk factors are more prominent in disadvantaged neighborhoods.
Collapse
Affiliation(s)
- Seth Frndak
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, USA.
| | - Zhengyi Deng
- Department of Urology, Stanford School of Medicine, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, USA
| | - Irena Gorski-Steiner
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, USA
| | - Roland J Thorpe
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, USA; Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, USA; Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, USA
| | - Aisha S Dickerson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, USA; Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, USA
| |
Collapse
|
133
|
Wang Y, Wu H, Li K, Huang R, Liu J, Lu Z, Wang Y, Wang J, Du Y, Jin X, Xu Y, Li B. Environmental triggers of autoimmunity: The association between bisphenol analogues and systemic lupus erythematosus. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 278:116452. [PMID: 38744066 DOI: 10.1016/j.ecoenv.2024.116452] [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: 02/06/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/16/2024]
Abstract
The aim of this research was to examine the correlation between the exposure to bisphenol analogues (BPs), such as bisphenol A (BPA), bisphenol F (BPF), and bisphenol S (BPS), and the risk of developing systemic lupus erythematosus (SLE). Ultra performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) was utilized to measure the levels of BPA, BPF, and BPS in the urine of 168 female participants diagnosed with SLE and 175 female participants who were deemed healthy controls. Logistic regression models were utilized to assess the connections between levels of bisphenol and the risk of SLE. The findings indicated that levels of BPA and BPF in the urine of individuals with SLE were markedly elevated compared to those in the control group. Higher exposure to BPA and BPF exhibited positive dose-response relationships with increased SLE risk. No significant associations were identified between BPS and the risk of SLE. These findings suggest exposure to BPA and BPF may be implicated as novel environmental triggers in the development of autoimmunity such as SLE. The significantly increased levels of these bisphenol analogues detected in SLE patients versus healthy controls, along with the associations between higher exposures and elevated SLE risk, which offers crucial hints for comprehending how endocrine-disrupting substances contribute to the genesis of autoimmune illnesses. Further research using robust longitudinal assessments of bisphenol analogue exposures is warranted to corroborate these epidemiological findings. Overall, this study highlights potential environmental risk factors for SLE while calling for additional investigation into the impact of bisphenol exposures on autoimmunity development.
Collapse
Affiliation(s)
- Yiyu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Hong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Kaidi Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Ronggui Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Jiamin Liu
- Department of Health lnspection and Quarantine, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Zhangwei Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Yiyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Jing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Yujie Du
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Xue Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China
| | - Ya Xu
- Clinical College of Anhui Medical University, Hefei, Anhui, China
| | - Baozhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Second Hospital of Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Laboratory of Inflammatory and Immune Diseases, Hefei, Anhui, China; Clinical College of Anhui Medical University, Hefei, Anhui, China.
| |
Collapse
|
134
|
Lang Q, Sun J, Yu X, Wei S, Wei J, Zhang M, Zhao C, Zhang J, Zeng D, Huang B. Environmental exposures to organophosphorus flame retardants in early pregnancy and risks of gestational diabetes mellitus: a nested case-control study. Sci Rep 2024; 14:13752. [PMID: 38877153 PMCID: PMC11178875 DOI: 10.1038/s41598-024-64557-9] [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: 01/30/2024] [Accepted: 06/11/2024] [Indexed: 06/16/2024] Open
Abstract
OPFRs are emerging environmental pollutants with reproductive and endocrine toxicity. This study aimed to examine the association between environmental exposure to OPFRs during early pregnancy and GDM. This nested case-control study was based on a birth cohort that was constructed at a maternal and child health hospital, including 74 cases of GDM among 512 pregnant women. The OPFRs, including TBP, TBEP, TCEP, TDCPP, TMCP, TOCP, and TPHP during 10-14 weeks of pregnancy were determined using GC-MS. The association between the OPFRs and GDM was assessed using WQS and BKMR models. The levels of OPFRs were significantly elevated in GDM patients (60) compared with the controls (90). The WQS analysis showed that mixtures of the OPFRs were significantly associated with GDM (OR 1.370, 95% CI 1.036-1.810, P = 0.027), and TBP, TPHP, and TMCP were the major contributors to the mixed exposure effect. In the BKMR model, individual exposure to TBP, TPHP, and TMCP, and the interaction of TMCP with TBP and TPHP were significantly associated with GDM. Environmental exposure to OPFRs is positively associated with GDM. These findings provide evidence for the adverse effects of OPFR exposure on the health of pregnant women.
Collapse
Affiliation(s)
- Qi Lang
- Clinical Laboratory Center, First Affiliated Hospital of Guilin Medical University, 109 Ring City North Second Road, Guilin, 541004, Guangxi, China
| | - Jiali Sun
- Guangxi Key Laboratory of Environmental Exposomics and Entire LifeCourse Health, Guangxi Health Commission Key Laboratory of Entire LifeCourse Health and Care, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541199, Guangxi, China
| | - Xiangyuan Yu
- Guangxi Key Laboratory of Environmental Exposomics and Entire LifeCourse Health, Guangxi Health Commission Key Laboratory of Entire LifeCourse Health and Care, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541199, Guangxi, China
| | - Shudan Wei
- Guangxi Key Laboratory of Environmental Exposomics and Entire LifeCourse Health, Guangxi Health Commission Key Laboratory of Entire LifeCourse Health and Care, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541199, Guangxi, China
| | - Jinyan Wei
- Guangxi Key Laboratory of Environmental Exposomics and Entire LifeCourse Health, Guangxi Health Commission Key Laboratory of Entire LifeCourse Health and Care, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541199, Guangxi, China
| | - Min Zhang
- Guangxi Key Laboratory of Environmental Exposomics and Entire LifeCourse Health, Guangxi Health Commission Key Laboratory of Entire LifeCourse Health and Care, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541199, Guangxi, China
| | - Chaochao Zhao
- Guangxi Key Laboratory of Environmental Exposomics and Entire LifeCourse Health, Guangxi Health Commission Key Laboratory of Entire LifeCourse Health and Care, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541199, Guangxi, China
| | - Jun Zhang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai JiaoTong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China
| | - Dingyuan Zeng
- Guangxi Health Commission Key Laboratory of Birth Cohort Study in Pregnant Women With Advanced Age, Liuzhou Maternity and Child Healthcare Hospital, 50 Yingshan Street, Liuzhou, 545001, Guangxi, China
| | - Bo Huang
- Guangxi Key Laboratory of Environmental Exposomics and Entire LifeCourse Health, Guangxi Health Commission Key Laboratory of Entire LifeCourse Health and Care, School of Public Health, Guilin Medical University, 1 Zhiyuan Road, Guilin, 541199, Guangxi, China.
| |
Collapse
|
135
|
Zhang S, Tang H, Zhou M, Pan L. Sexual dimorphism association of combined exposure to volatile organic compounds (VOC) with kidney damage. ENVIRONMENTAL RESEARCH 2024; 258:119426. [PMID: 38879106 DOI: 10.1016/j.envres.2024.119426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 06/05/2024] [Accepted: 06/12/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Epidemiological evidence emphasizes air pollutants' role in chronic kidney disease (CKD). Volatile organic compounds (VOCs) contribute to air pollution, yet research on VOCs and kidney damage, especially gender disparities, is limited. METHODS This study analyzed NHANES data to explore associations between urinary VOC metabolite mixtures (VOCMs) and key kidney-related parameters: estimated glomerular filtration rate (eGFR), albumin-to-creatinine ratio (ACR), chronic kidney disease (CKD), and albuminuria. Mediation analyses assessed the potential mediating roles of biological aging (BA) and serum albumin in VOCM mixtures' effects on kidney damage. Sensitivity analyses were also conducted. RESULTS The mixture analysis unveiled a noteworthy positive association between VOCM mixtures and the risk of developing CKD, coupled with a significant negative correlation with eGFR within the overall participant cohort. These findings remained consistent when examining the female subgroup. However, among male participants, no significant link emerged between VOCM mixtures and CKD or eGFR. Furthermore, in both the overall and female participant groups, there was an absence of a significant correlation between VOCM mixtures and either ACR or albuminuria. On the other hand, in male participants, while no significant correlation was detected with albuminuria, a significant positive correlation was observed with ACR. Pollutant analysis identified potential links between kidney damage and 1,3-butadiene, toluene, ethylbenzene, styrene, xylene, acrolein, crotonaldehyde and propylene oxide. Mediation analyses suggested that BA might partially mediate the relationship between VOCM mixtures and kidney damage. CONCLUSION The current findings highlight the widespread exposure to VOCs among the general U.S. adult population and indicate a potential correlation between exposure to VOC mixtures and compromised renal function parameters, with notable gender disparities. Females appear to exhibit greater sensitivity to impaired renal function resulting from VOCs exposure. Anti-aging treatments may offer some mitigation against kidney damage due to VOCs exposure.
Collapse
Affiliation(s)
- Shuai Zhang
- Department of Male Reproductive Health, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China; Clinical Center of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China.
| | - Hanhan Tang
- Graduate School of Xuzhou Medical University, Xuzhou Medical University, No. 209, Tongshan Road, Xuzhou, 221004, China
| | - Minglian Zhou
- Department of Male Reproductive Health, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China; Clinical Center of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China
| | - Linqing Pan
- Clinical Center of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Qindongmen Avenue, Haizhou District, Lianyungang, 222000, China
| |
Collapse
|
136
|
Barandiaran LN, Taylor VF, Karagas MR. Exposure to iodine, essential and non-essential trace element through seaweed consumption in humans. Sci Rep 2024; 14:13698. [PMID: 38871780 PMCID: PMC11176391 DOI: 10.1038/s41598-024-64556-w] [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: 04/05/2024] [Accepted: 06/11/2024] [Indexed: 06/15/2024] Open
Abstract
Seaweed consumption has gained popularity due to its nutritional value and potential health benefits. However, concerns regarding the bioaccumulation of several trace elements highlight the need for comprehensive studies on exposure associated with seaweed consumption. To address this gap in knowledge, we carried out a feeding intervention study of three common edible seaweeds (Nori, Kombu, and Wakame) in 11 volunteers, aiming to elucidate the extent of both beneficial and harmful trace element exposure through seaweed consumption in humans. Concentrations of total arsenic, cobalt, copper, cadmium, iodine, molybdenum, selenium, and zinc were measured in urine samples before and following seaweed consumption. Elements concentrations were also measured in the seaweeds provided for the study. Descriptive analysis for each element were conducted and we used quantile g-computation approach to assess the association between the 8-element mixture and seaweed consumption. Differences in urine element concentrations and seaweed consumption were analyzed using generalized estimating equations (GEE). Urinary concentrations of iodine and total arsenic increased after seaweed consumption. When we analyze the 8-element mixture, the largest weight was observed for iodine after Kombu consumption while for total arsenic was observed after Wakame consumption. Similar results were observed when we compared the mean differences between the elements before and after seaweed consumption through the GEE. Seaweed consumption relates with increased urinary iodine and total arsenic concentrations, particularly after Kombu and Wakame consumption.
Collapse
Affiliation(s)
- Leyre Notario Barandiaran
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, 1 Rope Ferry Road, Hanover, NH, 03755-1404, USA.
| | - Vivien F Taylor
- Department of Earth Science, Dartmouth College, 6105 Sherman Fairchild Hall, Hanover, NH, 03755, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, 1 Rope Ferry Road, Hanover, NH, 03755-1404, USA
| |
Collapse
|
137
|
Li H, Cheng BJ, Yang PY, Wang C, Meng K, Li TL, Wang J, Liu R. Associations of Urinary Heavy Metal Mixtures with High Remnant Cholesterol among US Adults: Evidence from the National Health and Nutrition Examination Survey (1998-2018). TOXICS 2024; 12:430. [PMID: 38922110 PMCID: PMC11209470 DOI: 10.3390/toxics12060430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/27/2024]
Abstract
The main objective of our study is to explore the associations between combined exposure to urinary heavy metals and high remnant cholesterol (HRC), a known cardiovascular risk factor. Utilizing data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, we conducted a cross-sectional analysis of 5690 participants, assessing urinary concentrations of ten heavy metals. Ten heavy metals in urine were measured by inductively coupled plasma mass spectrometry (ICP-MS). Fasting residual cholesterol ≥0.8 mmol/L was defined as HRC (using blood samples). Statistical analyses included weighted multivariable logistic regression, weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) to evaluate the associations of heavy metal exposure with HRC. Stratified analyses based on individual characteristics were also conducted. Multivariable logistic regression found that the four metals (OR Q4 vs. Q1: 1.33, 95% CI: 1.01-1.75 for barium (Ba); OR Q4 vs. Q1: 1.50, 95% CI: 1.16-1.94 for cadmium (Cd); OR Q4 vs. Q1: 1.52, 95% CI: 1.15-2.01 for mercury (Hg); OR Q4 vs. Q1: 1.35, 95% CI: 1.06-1.73 for lead (Pb)) were positively correlated with the elevated risk of HRC after adjusting for covariates. In addition, all three mixed models, including WQS (OR: 1.25; 95% CI: 1.07-1.46), qgcomp (OR: 1.17; 95% CI: 1.03-1.34), and BKMR, consistently showed a significant positive correlation between co-exposure to heavy metal mixtures and HRC, with Ba and Cd being the main contributors within the mixture. These associations were more pronounced in younger adults (20 to 59 years), males, and those with a higher body mass index status (≥25 kg/m2). Our findings reveal a significant relationship between exposure to the mixture of heavy metals and HRC among US adults, with Ba and Cd being the major contributors to the mixture's overall effect. Public health efforts aimed at reducing heavy metal exposure can help prevent HRC and, in turn, cardiovascular disease.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Ran Liu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China; (H.L.); (B.-J.C.); (P.-Y.Y.); (C.W.); (K.M.); (T.-L.L.); (J.W.)
| |
Collapse
|
138
|
Xu L, Yang S, Wang L, Qiu J, Meng H, Zhang L, Sun W, He A. Association between pesticide exposure and thyroid function: analysis of Chinese and NHANES databases. Front Public Health 2024; 12:1378027. [PMID: 38939562 PMCID: PMC11210317 DOI: 10.3389/fpubh.2024.1378027] [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: 01/29/2024] [Accepted: 05/28/2024] [Indexed: 06/29/2024] Open
Abstract
Background Pesticides are widely used in agricultural activities. Although pesticide use is known to cause damage to the human body, its relationship with thyroid function remains unclear. Therefore, this study aimed to investigate the association between pesticide exposure and thyroid function. Methods The Chinese database used included 60 patients with pyrethroid poisoning and 60 participants who underwent health checkups between June 2022 and June 2023. The NHANES database included 1,315 adults enrolled from 2007 to 2012. The assessed pesticide and their metabolites included 2,4-dichlorophenoxyacetic acid (2,4-D), 4-fluoro-3-phenoxybenzoic acid (4F3PB), para-nitrophenol (PN), 3-phenoxybenzoic acid (3P), and trans-dichlorovinyl-dimethylcyclopropane carboxylic acid (TDDC). The evaluated indicators of thyroid function were measured by the blood from the included population. The relationship between pesticide exposure and thyroid function indexes was investigated using linear regression, Bayesian kernel machine regression (BKMR), restricted cubic spline (RCS), and weighted quantile sum (WQS) models. Results The Chinese data showed that pesticide exposure was negatively correlated with the thyroid function indicators FT4, TT4, TgAb, and TPOAb (all p < 0.05). The BKMR model analysis of the NHANES data showed that the metabolic mixture of multiple pesticides was negatively associated with FT4, TSH, and Tg, similar to the Chinese database findings. Additionally, linear regression analysis demonstrated positive correlations between 2,4-D and FT3 (p = 0.041) and 4F3PB and FT4 (p = 0.003), whereas negative associations were observed between 4F3PB and Tg (p = 0.001), 4F3PB and TgAb (p = 0.006), 3P and TgAB (p = 0.006), 3P and TPOAb (p = 0.03), PN and TSH (p = 0.003), PN and TT4 (p = 0.031), and TDDC and TPOAb (p < 0.001). RCS curves highlighted that most pesticide metabolites were negatively correlated with thyroid function indicators. Finally, WQS model analysis revealed significant differences in the weights of different pesticide metabolites on the thyroid function indexes. Conclusion There is a significant negative correlation between pesticide metabolites and thyroid function indicators, and the influence weights of different pesticide metabolites on thyroid function indicators are significantly different. More research is needed to further validate the association between different pesticide metabolites and thyroid disease.
Collapse
Affiliation(s)
- Leiming Xu
- Binhai County People's Hospital Affiliated to Kangda College of Nanjing Medical University, Yancheng, Jiangsu, China
| | - Shengkai Yang
- Binhai County People's Hospital Affiliated to Kangda College of Nanjing Medical University, Yancheng, Jiangsu, China
| | - Longqing Wang
- Binhai County People's Hospital Affiliated to Kangda College of Nanjing Medical University, Yancheng, Jiangsu, China
| | - Jinxin Qiu
- Binhai County People's Hospital Affiliated to Kangda College of Nanjing Medical University, Yancheng, Jiangsu, China
| | - Hai Meng
- Binhai County People's Hospital Affiliated to Kangda College of Nanjing Medical University, Yancheng, Jiangsu, China
| | - Lulu Zhang
- Binhai County People's Hospital Affiliated to Kangda College of Nanjing Medical University, Yancheng, Jiangsu, China
| | - Wenwen Sun
- Department of Intensive Care Unit, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Aifeng He
- Binhai County People's Hospital Affiliated to Kangda College of Nanjing Medical University, Yancheng, Jiangsu, China
| |
Collapse
|
139
|
Pu F, Chen W, Li C, Fu J, Gao W, Ma C, Cao X, Zhang L, Hao M, Zhou J, Huang R, Ma Y, Hu K, Liu Z. Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics. Nat Commun 2024; 15:4921. [PMID: 38858361 PMCID: PMC11164970 DOI: 10.1038/s41467-024-49283-0] [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: 10/24/2023] [Accepted: 05/31/2024] [Indexed: 06/12/2024] Open
Abstract
Complicated associations between multiplexed environmental factors and aging are poorly understood. We manipulated aging using multidimensional metrics such as phenotypic age, brain age, and brain volumes in the UK Biobank. Weighted quantile sum regression was used to examine the relative individual contributions of multiplexed environmental factors to aging, and self-organizing maps (SOMs) were used to examine joint effects. Air pollution presented a relatively large contribution in most cases. We also found fair heterogeneities in which the same environmental factor contributed inconsistently to different aging metrics. Particulate matter contributed the most to variance in aging, while noise and green space showed considerable contribution to brain volumes. SOM identified five subpopulations with distinct environmental exposure patterns and the air pollution subpopulation had the worst aging status. This study reveals the heterogeneous associations of multiplexed environmental factors with multidimensional aging metrics and serves as a proof of concept when analyzing multifactors and multiple outcomes.
Collapse
Affiliation(s)
- Fan Pu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Weiran Chen
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Chenxi Li
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Jingqiao Fu
- Ocean College, Zhejiang University, Zhoushan, 316021, Zhejiang, China
| | - Weijing Gao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Chao Ma
- School of Economics and Management, Southeast University, Nanjing, 211189, Jiangsu, China
| | - Xingqi Cao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Lingzhi Zhang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Meng Hao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200433, China
| | - Jin Zhou
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Rong Huang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Yanan Ma
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China.
| | - Kejia Hu
- Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China.
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China.
| |
Collapse
|
140
|
Feng X, Qiu F, Zheng L, Zhang Y, Wang Y, Wang M, Xia H, Tang B, Yan C, Liang R. Exposure to volatile organic compounds and mortality in US adults: A population-based prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172512. [PMID: 38636853 DOI: 10.1016/j.scitotenv.2024.172512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 03/25/2024] [Accepted: 04/14/2024] [Indexed: 04/20/2024]
Abstract
Volatile organic compounds (VOCs) are ubiquitous in both indoor and outdoor environments. Evidence on the associations of individual and joint VOC exposure with all-cause and cause-specific mortality is limited. Measurements of 15 urinary VOC metabolites were available to estimate exposure to 12 VOCs in the National Health and Nutritional Examination Survey (NHANES) 2005-2006 and 2011-2018. The environment risk score (ERS) was calculated using LASSO regression to reflect joint exposure to VOCs. Follow-up data on death were obtained from the NHANES Public-Use Linked Mortality File through December 31, 2019. Cox proportional hazard models and restricted cubic spline models were applied to evaluate the associations of individual and joint VOC exposures with all-cause and cause-specific mortality. Population attributable fractions were calculated to assess the death burden attributable to VOC exposure. During a median follow-up of 6.17 years, 734 (8.34 %) deaths occurred among 8799 adults. Urinary metabolites of acrolein, acrylonitrile, 1,3-butadiene, and ethylbenzene/styrene were significantly associated with all-cause, cardiovascular disease (CVD), respiratory disease (RD), and cancer mortality in a linear dose-response manner. Linear and robust dose-response relationships were also observed between ERS and all-cause and cause-specific mortality. Each 1-unit increase in ERS was associated with a 33.6 %, 39.1 %, 109.8 %, and 67.8 % increase for all-cause, CVD, RD, and cancer mortality risk, respectively. Moreover, joint exposure to VOCs contributed to 17.95 % of all-cause deaths, 13.49 % of CVD deaths, 35.65 % of RD deaths, and 33.85 % of cancer deaths. Individual and joint exposure to VOCs may enhance the risk of all-cause and cause-specific mortality. Reducing exposure to VOCs may alleviate the all-cause and cause-specific death burden.
Collapse
Affiliation(s)
- Xiaobing Feng
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China
| | - Feng Qiu
- Department of Occupational and 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, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Ling Zheng
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China
| | - Yue Zhang
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China
| | - Yuji Wang
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China
| | - Min Wang
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China
| | - Han Xia
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China
| | - Bingrong Tang
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China
| | - Chunxiang Yan
- Department of Medical Records Statistics, Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430016, China.
| | - Ruyi Liang
- Department of Occupational and 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, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
| |
Collapse
|
141
|
Huh DA, Choi YH, Kim L, Park K, Lee J, Hwang SH, Moon KW, Kang MS, Lee YJ. Air pollution and survival in patients with malignant mesothelioma and asbestos-related lung cancer: a follow-up study of 1591 patients in South Korea. Environ Health 2024; 23:56. [PMID: 38858710 PMCID: PMC11163745 DOI: 10.1186/s12940-024-01094-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 06/01/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Despite significant advancements in treatments such as surgery, radiotherapy, and chemotherapy, the survival rate for patients with asbestos-related cancers remains low. Numerous studies have provided evidence suggesting that air pollution induces oxidative stress and inflammation, affecting acute respiratory diseases, lung cancer, and overall mortality. However, because of the high case fatality rate, there is limited knowledge regarding the effects of air pollution exposures on survival following a diagnosis of asbestos-related cancers. This study aimed to determine the effect of air pollution on the survival of patients with malignant mesothelioma and asbestos-related lung cancer. METHODS We followed up with 593 patients with malignant mesothelioma and 998 patients with lung cancer identified as asbestos victims between 2009 and 2022. Data on five air pollutants-sulfur dioxide, carbon monoxide, nitrogen dioxide, fine particulate matter with a diameter < 10 μm, and fine particulate matter with a diameter < 2.5 μm-were obtained from nationwide atmospheric monitoring stations. Cox proportional hazard models were used to estimate the association of cumulative air pollutant exposure with patient mortality, while adjusting for potential confounders. Quantile-based g-computation was used to assess the combined effect of the air pollutant mixture on mortality. RESULTS The 1-, 3-, and 5-year survival rates for both cancer types decreased with increasing exposure to all air pollutants. The estimated hazard ratios rose significantly with a 1-standard deviation increase in each pollutant exposure level. A quartile increase in the pollutant mixture was associated with a 1.99-fold increase in the risk of malignant mesothelioma-related mortality (95% confidence interval: 1.62, 2.44). For lung cancer, a quartile increase in the pollutant mixture triggered a 1.87-fold increase in the mortality risk (95% confidence interval: 1.53, 2.30). CONCLUSION These findings support the hypothesis that air pollution exposure after an asbestos-related cancer diagnosis can negatively affect patient survival.
Collapse
Affiliation(s)
- Da-An Huh
- Institute of Health Sciences, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea.
| | - Yun-Hee Choi
- Department of Ophthalmology, Korea University College of Medicine, Anam-ro 145, Seongbuk- gu, Seoul, 02841, South Korea
| | - Lita Kim
- Department of Health and Safety Convergence Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
| | - Kangyeon Park
- Department of Health and Safety Convergence Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
| | - Jiyoun Lee
- School of Health and Environmental Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
| | - Se Hyun Hwang
- School of Health and Environmental Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
| | - Kyong Whan Moon
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
- School of Health and Environmental Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea
| | - Min-Sung Kang
- Environmental Health Center for Asbestos, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan-si, 31151, South Korea.
| | - Yong-Jin Lee
- Environmental Health Center for Asbestos, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan-si, 31151, South Korea
- Department of Occupational & Environmental Medicine, Soonchunhyang University, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan-si, 31151, South Korea
| |
Collapse
|
142
|
Kuiper JR, Liu SH, Lanphear BP, Calafat AM, Cecil KM, Xu Y, Yolton K, Kalkwarf HJ, Chen A, Braun JM, Buckley JP. Estimating effects of longitudinal and cumulative exposure to PFAS mixtures on early adolescent body composition. Am J Epidemiol 2024; 193:917-925. [PMID: 38400650 DOI: 10.1093/aje/kwae014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 02/07/2024] [Accepted: 02/20/2024] [Indexed: 02/25/2024] Open
Abstract
Few methods have been used to characterize repeatedly measured biomarkers of chemical mixtures. We applied latent profile analysis (LPA) to serum concentrations of 4 perfluoroalkyl and polyfluoroalkyl substances (PFAS) measured at 4 time points from gestation to age 12 years. We evaluated the relationships between profiles and z scores of height, body mass index, fat mass index, and lean body mass index at age 12 years (n = 218). We compared LPA findings with an alternative approach for cumulative PFAS mixtures using g-computation to estimate the effect of simultaneously increasing the area under the receiver operating characteristic curve (AUC) for all PFAS. We identified 2 profiles: a higher PFAS profile (35% of sample) and a lower PFAS profile (relative to each other), based on their average PFAS concentrations at all time points. The higher PFAS profile had generally lower z scores for all outcomes, with somewhat larger effects for males, though all 95% CIs crossed the null. For example, the higher PFAS profile was associated with a 0.50-unit lower (β = -0.50; 95% CI, -1.07 to 0.08) BMI z score among males but not among females (β = 0.04; 95% CI, -0.45 to 0.54). We observed similar patterns with AUCs. We found that a higher childhood PFAS profile and higher cumulative PFAS mixtures may be associated with altered growth in early adolescence. This article is part of a Special Collection on Environmental Epidemiology.
Collapse
Affiliation(s)
- Jordan R Kuiper
- Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20037, United States
| | - Shelley H Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
| | - Antonia M Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, United States
| | - Kim M Cecil
- Department of Radiology, College of Medicine, and Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45267, United States
| | - Yingying Xu
- Department of Pediatrics, College of Medicine, and Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45267, United States
| | - Kimberly Yolton
- Department of Pediatrics, College of Medicine, and Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45267, United States
- Department of Environmental and Public Health Sciences, College of Medicine, and Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45267, United States
| | - Heidi J Kalkwarf
- Department of Pediatrics, College of Medicine, and Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45267, United States
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Joseph M Braun
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02903, United States
| | - Jessie P Buckley
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| |
Collapse
|
143
|
Fan J, Liu S, Wei L, Zhao Q, Zhao G, Dong R, Chen B. Relationships between minerals' intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study. Nutr Diabetes 2024; 14:36. [PMID: 38824142 PMCID: PMC11144190 DOI: 10.1038/s41387-024-00293-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 04/26/2024] [Accepted: 05/13/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Blood homocysteine (Hcy) level has become a sensitive indicator in predicting the development of cardiovascular disease. Studies have shown an association between individual mineral intake and blood Hcy levels. The effect of mixed minerals' intake on blood Hcy levels is unknown. METHODS Data were obtained from the baseline survey data of the Shanghai Suburban Adult Cohort and Biobank(SSACB) in 2016. A total of 38273 participants aged 20-74 years met our inclusion and exclusion criteria. Food frequency questionnaire (FFQ) was used to calculate the intake of 10 minerals (calcium, potassium, magnesium, sodium, iron, zinc, selenium, phosphorus, copper and manganese). Measuring the concentration of Hcy in the morning fasting blood sample. Traditional regression models were used to assess the relationship between individual minerals' intake and blood Hcy levels. Three machine learning models (WQS, Qg-comp, and BKMR) were used to the relationship between mixed minerals' intake and blood Hcy levels, distinguishing the individual effects of each mineral and determining their respective weights in the joint effect. RESULTS Traditional regression model showed that higher intake of calcium, phosphorus, potassium, magnesium, iron, zinc, copper, and manganese was associated with lower blood Hcy levels. Both Qg-comp and BKMR results consistently indicate that higher intake of mixed minerals is associated with lower blood Hcy levels. Calcium exhibits the highest weight in the joint effect in the WQS model. In Qg-comp, iron has the highest positive weight, while manganese has the highest negative weight. The BKMR results of the subsample after 10,000 iterations showed that except for sodium, all nine minerals had the high weights in the joint effect on the effect of blood Hcy levels. CONCLUSION Overall, higher mixed mineral's intake was associated with lower blood Hcy levels, and each mineral contributed differently to the joint effect. Future studies are available to further explore the mechanisms underlying this association, and the potential impact of mixed minerals' intake on other health indicators needs to be further investigated. These efforts will help provide additional insights to deepen our understanding of mixed minerals and their potential role in health maintenance.
Collapse
Affiliation(s)
- Jing Fan
- Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Shaojie Liu
- Department of Clinical Nutrition, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361003, China
| | - Lanxin Wei
- Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Qi Zhao
- Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Genming Zhao
- Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Ruihua Dong
- Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China.
| | - Bo Chen
- Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
144
|
Keil AP, O'Brien KM. Considerations and targeted approaches to identifying bad actors in exposure mixtures. STATISTICS IN BIOSCIENCES 2024; 16:459-481. [PMID: 39220676 PMCID: PMC11364366 DOI: 10.1007/s12561-023-09409-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 10/24/2023] [Accepted: 11/06/2023] [Indexed: 09/04/2024]
Abstract
Variable importance is a key statistical issue in exposure mixtures, as it allows a ranking of exposures as potential targets for intervention, and helps to identify bad actors within a mixture. In settings where mixtures have many constituents or high between-constituent correlations, estimators of importance can be subject to bias or high variance. Current approaches to assessing variable importance have major limitations, including reliance on overly strong or incorrect constraints or assumptions, excessive model extrapolation, or poor interpretability, especially regarding practical significance. We sought to overcome these limitations by applying an established doubly-robust, machine learning-based approach to estimating variable importance in a mixtures context. This method reduces model extrapolation, appropriately controls confounding, and provides both interpretability and model flexibility. We illustrate its use with an evaluation of the relationship between telomere length, a measure of biologic aging, and exposure to a mixture of polychlorinated biphenyls (PCBs), dioxins, and furans among 979 US adults from the National Health and Nutrition Examination Survey (NHANES). In contrast with standard approaches for mixtures, our approach selected PCB 180 and PCB 194 as important contributors to telomere length. We hypothesize that this difference could be due to residual confounding in standard methods that rely on variable selection. Further empirical evaluation of this method is needed, but it is a promising tool in the search for bad actors within a mixture.
Collapse
Affiliation(s)
- Alexander P Keil
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 9609 Medical Center Drive, Rockville, 20850, MD, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, 111 T.W. Alexander Drive, Durham, 27709, NC, USA
| |
Collapse
|
145
|
Nakamura Y, Kobayashi S, Cho K, Itoh S, Miyashita C, Yamaguchi T, Iwata H, Tamura N, Saijo Y, Ito Y, Seto Y, Honjo R, Ando A, Furuse Y, Manabe A, Kishi R. Prenatal metal concentrations and physical abnormalities in the Japan Environment and Children's Study. Pediatr Res 2024; 95:1875-1882. [PMID: 37857850 DOI: 10.1038/s41390-023-02851-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 08/22/2023] [Accepted: 09/27/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND The association between prenatal metal exposure and congenital anomalies is unclear. We aimed to examine the association between exposure to cadmium, lead, mercury, selenium, and manganese and physical abnormalities. METHODS Data from 89,887 pregnant women with singleton pregnancies who participated in the Japan Environment and Children's Study (JECS) were used. The correlation between maternal blood metal concentrations and physical abnormalities during the second or third trimester was investigated using logistic regression models. Physical anomalies included those observed at birth or at 1 month, primarily from ICD-10 Chapter 17, particularly congenital anomalies associated with environmental factors (e.g., hypospadias, cryptorchidism, cleft lip and palate, digestive tract atresia, congenital heart disease, and chromosomal abnormalities) and minor abnormalities. RESULTS After adjusting for covariates, the OR (95% CIs) of physical abnormalities for a one-unit rise in Mn concentrations in all individuals were 1.26 (1.08, 1.48). The OR (95% CIs) of physical abnormalities in the 4th quartile (≥18.7 ng/g) were 1.06 (1.01, 1.13) (p-value for the trend = 0.034) compared with those in the 1st quartile (≤12.5 ng/g). CONCLUSION In Japan, maternal blood Mn concentrations above threshold during pregnancy may slightly increase the incidence of physical abnormalities. IMPACT Physical abnormalities (including minor anomalies and congenital anomalies) are associated with prenatal manganese concentrations. They are not associated with cadmium, lead, mercury, and selenium concentrations.
Collapse
Affiliation(s)
- Yuichi Nakamura
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Sapporo, Japan
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Sumitaka Kobayashi
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan.
| | - Kazutoshi Cho
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Sachiko Itoh
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Chihiro Miyashita
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Takeshi Yamaguchi
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Hiroyoshi Iwata
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Naomi Tamura
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Yasuaki Saijo
- Department of Social Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Yoshiya Ito
- Division of Clinical Medicine, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
| | - Yoshitaka Seto
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Sapporo, Japan
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Ryota Honjo
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Sapporo, Japan
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Akiko Ando
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Sapporo, Japan
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Yuta Furuse
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Atsushi Manabe
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Sapporo, Japan
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Reiko Kishi
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| |
Collapse
|
146
|
Wu Y, Cheng Z, Zhang W, Yin C, Sun J, Hua H, Long X, Wu X, Wang Y, Ren X, Zhang D, Bai Y, Li Y, Cheng N. Association between per- and poly-fluoroalkyl substances and nonalcoholic fatty liver disease: A nested case-control study in northwest China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 350:123937. [PMID: 38631453 DOI: 10.1016/j.envpol.2024.123937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 03/19/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024]
Abstract
Per- and poly-fluoroalkyl substances (PFAS) have been reported to have hepatotoxic effects. However, it is unclear whether they are linked to non-alcoholic fatty liver disease (NAFLD). This nested case-control study focused on the epidemiological links between PFAS and the prevalence of NAFLD. We selected 476 new cases of NAFLD and 952 age- and sex-matched controls from the Jinchang cohort population between 2014 and 2019. Serum concentrations of PFAS were measured using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Only PFAS with a detection rate of ≥90 % were included for analysis, which included PFPeA, PFOA, PFNA, PFHxS, PFOS, and 9Cl-PF3ONS. The relationship between single and co-exposure to PFAS and the occurrence of NAFLD was evaluated using conditional logistic regression, Quantile g-computation (QgC), and Bayesian kernel machine regression (BKMR) model. Logistic regression indicated that PFPeA, PFOA, and 9Cl-PF3ONS were positive correlation with the incidence of NAFLD after adjusting for confounders, with odds ratios (OR) and 95 % confidence interval (CI) of 3.13 (95 % CI: 2.53, 3.86), 1.39 (95 % CI: 1.12, 1.73), and 1.41 (95 % CI: 1.20, 1.66), respectively. PFNA, PFHxS, and PFOS were nonlinearly and negatively associated with the incidence of NAFLD, with OR (95 % CI) of 0.53 (0.46, 0.62), 0.83 (0.73, 0.95), and 0.52 (0.44, 0.61), respectively. QgC showed a significant joint effect of PFAS mixture on NAFLD onset (OR: 1.52, 95 % CI: 1.24, 1.88). BKMR showed a weak positive trend between PFAS mixtures and NAFLD incidence. Positive correlations were primarily driven by PFPeA and 9Cl-PF3ONS, while negative correlations were mainly influenced by PFNA and PFOS. The BKMR model also suggested that there was an interaction between PFOS and PFNA and other four PFAS compounds. In conclusion, our findings suggest that individual and co-exposure to PFAS is associated with a risk of NAFLD onset.
Collapse
Affiliation(s)
- Yuanqin Wu
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China
| | - Zhiyuan Cheng
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, PR China
| | - Wei Zhang
- Basic Medical College, Lanzhou University, Lanzhou, Gansu, PR China
| | - Chun Yin
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu, PR China
| | - Jianyun Sun
- Physical and Chemical Laboratory, Center for Disease Control and Prevention of Gansu, PR China
| | - Honghao Hua
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China
| | - Xianzhen Long
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China
| | - Xijiang Wu
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu, PR China
| | - Yufeng Wang
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu, PR China
| | - Xiaoyu Ren
- Basic Medical College, Lanzhou University, Lanzhou, Gansu, PR China
| | - Desheng Zhang
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu, PR China
| | - Yana Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China
| | - Yongjun Li
- Physical and Chemical Laboratory, Center for Disease Control and Prevention of Gansu, PR China
| | - Ning Cheng
- Basic Medical College, Lanzhou University, Lanzhou, Gansu, PR China.
| |
Collapse
|
147
|
Wen Y, Wang Y, Chen R, Guo Y, Pu J, Li J, Jia H, Wu Z. Association between exposure to a mixture of organochlorine pesticides and hyperuricemia in U.S. adults: A comparison of four statistical models. ECO-ENVIRONMENT & HEALTH 2024; 3:192-201. [PMID: 38646098 PMCID: PMC11031731 DOI: 10.1016/j.eehl.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/21/2024] [Accepted: 02/03/2024] [Indexed: 04/23/2024]
Abstract
The association between the exposure of organochlorine pesticides (OCPs) and serum uric acid (UA) levels remained uncertain. In this study, to investigate the combined effects of OCP mixtures on hyperuricemia, we analyzed serum OCPs and UA levels in adults from the National Health and Nutrition Examination Survey (2005-2016). Four statistical models including weighted logistic regression, weighted quantile sum (WQS), quantile g-computation (QGC), and bayesian kernel machine regression (BKMR) were used to assess the relationship between mixed chemical exposures and hyperuricemia. Subgroup analyses were conducted to explore potential modifiers. Among 6,529 participants, the prevalence of hyperuricemia was 21.15%. Logistic regression revealed a significant association between both hexachlorobenzene (HCB) and trans-nonachlor and hyperuricemia in the fifth quintile (OR: 1.54, 95% CI: 1.08-2.19; OR: 1.58, 95% CI: 1.05-2.39, respectively), utilizing the first quintile as a reference. WQS and QGC analyses showed significant overall effects of OCPs on hyperuricemia, with an OR of 1.25 (95% CI: 1.09-1.44) and 1.20 (95% CI: 1.06-1.37), respectively. BKMR indicated a positive trend between mixed OCPs and hyperuricemia, with HCB having the largest weight in all three mixture analyses. Subgroup analyses revealed that females, individuals aged 50 years and above, and those with a low income were more vulnerable to mixed OCP exposure. These results highlight the urgent need to protect vulnerable populations from OCPs and to properly evaluate the health effects of multiple exposures on hyperuricemia using mutual validation approaches.
Collapse
Affiliation(s)
- Yu Wen
- School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China
| | - Yibaina Wang
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Renjie Chen
- School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China
| | - Yi Guo
- School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China
| | - Jialu Pu
- School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China
| | - Jianwen Li
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Huixun Jia
- School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China
- National Clinical Research Center for Ophthalmic Diseases, Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai Key Laboratory of Fundus Diseases, Shanghai 200080, China
| | - Zhenyu Wu
- School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai 200032, China
| |
Collapse
|
148
|
Pacyga DC, Papandonatos GD, Rosas L, Whalen J, Smith S, Park JS, Gardiner JC, Braun JM, Schantz SL, Strakovsky RS. Associations of per- and polyfluoroalkyl substances with maternal early second trimester sex-steroid hormones. Int J Hyg Environ Health 2024; 259:114380. [PMID: 38657330 PMCID: PMC11127781 DOI: 10.1016/j.ijheh.2024.114380] [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: 10/12/2023] [Revised: 03/30/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND/AIMS Pregnant women are exposed to persistent environmental contaminants, including per- and polyfluoroalkyl substances (PFAS) that disrupt thyroid function. However, it is unclear if PFAS alter maternal sex-steroid hormone levels, which support pregnancy health and fetal development. METHODS In Illinois women with relatively high socioeconomic status (n = 460), we quantified perfluorononanoic (PFNA), perfluorooctane sulfonic (PFOS), perfluorooctanoic (PFOA), methyl-perfluorooctane sulfonamide acetic acid, perfluorohexanesulphonic (PFHxS), perfluorodecanoic (PFDeA), and perfluoroundecanoic (PFUdA) acid concentrations in fasting serum samples at median 17 weeks gestation, along with plasma progesterone, testosterone, and estradiol. We evaluated covariate-adjusted associations of ln-transformed hormones with each ln-transformed PFAS individually using linear regression and with the PFAS mixture using quantile-based g-computation (QGComp). RESULTS Interquartile range (IQR) increases in PFOS were associated with higher progesterone (%Δ 3.0; 95%CI: -0.6, 6.6) and estradiol (%Δ: 8.1; 95%CI: 2.2, 14.4) levels. Additionally, PFHxS was positively associated with testosterone (%Δ: 10.2; 95%CI: 4.0, 16.7), whereas both PFDeA and PFUdA were inversely associated with testosterone (%Δ: -5.7; 95%CI: -10.3, -0.8, and %Δ: -4.1; 95%CI: -7.6, -0.4, respectively). The IQR-standardized PFAS mixture was not associated with progesterone (%Δ: 1.6; 95%CI: -5.8, 9.2), due equal partial positive (%Δ: 9.2; driven by PFOA) and negative (%Δ: -7.4; driven by PFOS) mixture associations. Similarly, the mixture was not associated with testosterone (%Δ: 5.3; 95%CI: -9.0, 20.1), due to similar partial positive (%Δ: 23.6; driven by PFHxS) and negative (%Δ: -17.4; driven by PFDeA) mixture associations. However, we observed a slightly stronger partial positive (%Δ: 25.6; driven by PFOS and PFUdA) than negative (%Δ: -16.3; driven by PFOA) association resulting in an overall non-significant positive trend between the mixture and estradiol (%Δ: 8.5; 95%CI: -3.7, 20.9). CONCLUSION PFAS mixture modeled using QGComp was not associated with maternal sex-steroid hormones due to potential opposing effects of certain PFAS. Additional prospective studies could corroborate these findings.
Collapse
Affiliation(s)
- Diana C Pacyga
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA; Institute for Integrative Toxicology, Michigan State University, East Lansing, MI 48824, USA; Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | | | - Libeth Rosas
- The Beckman Institute, University of Illinois, Urbana-Champaign, IL 61801, USA
| | - Jason Whalen
- Michigan Diabetes Research Center Chemistry Laboratory, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sabrina Smith
- Environmental Chemistry Laboratory, Department of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA 94710, USA
| | - June-Soo Park
- Environmental Chemistry Laboratory, Department of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA 94710, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA 94158, USA
| | - Joseph C Gardiner
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI 02912, USA
| | - Susan L Schantz
- The Beckman Institute, University of Illinois, Urbana-Champaign, IL 61801, USA; Department of Comparative Biosciences, University of Illinois, Urbana-Champaign, IL 61802, USA
| | - Rita S Strakovsky
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA; Institute for Integrative Toxicology, Michigan State University, East Lansing, MI 48824, USA.
| |
Collapse
|
149
|
Shi T, Li D, Li D, Sun J, Xie P, Wang T, Li R, Li Z, Zou Z, Ren X. Individual and joint associations of per- and polyfluoroalkyl substances (PFAS) with gallstone disease in adults: A cross-sectional study. CHEMOSPHERE 2024; 358:142168. [PMID: 38685323 DOI: 10.1016/j.chemosphere.2024.142168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/28/2024] [Accepted: 04/26/2024] [Indexed: 05/02/2024]
Abstract
Disturbances in the enterohepatic circulation are important biological mechanisms for causing gallstones and also have important effects on the metabolism of Per- and polyfluoroalkyl substances (PFAS). Moreover, PFAS is associated with sex hormone disorder which is another important cause of gallstones. However, it remains unclear whether PFAS is associated with gallstones. In this study, we used logistic regression, restricted cubic spline (RCS), quantile g-computation (qg-comp), Bayesian kernel machine regression (BKMR), and subgroup analysis to assess the individual and joint associations of PFAS with gallstones and effect modifiers. We observed that the individual associations of perfluorodecanoic acid (PFDeA) (OR: 0.600, 95% CI: 0.444 to 0.811), perfluoroundecanoic acid (PFUA) (OR: 0.630, 95% CI: 0.453 to 0.877), n-perfluorooctane sulfonic acid (n-PFOS) (OR: 0.719, 95% CI: 0.571 to 0.906), and perfluoromethylheptane sulfonic acid isomers (Sm-PFOS) (OR: 0.768, 95% CI: 0.602 to 0.981) with gallstones were linearly negative. Qg-comp showed that the PFAS mixture (OR: 0.777, 95% CI: 0.514 to 1.175) was negatively associated with gallstones, but the difference was not statistically significant, and PFDeA had the highest negative association. Moreover, smoking modified the association of perfluorononanoic acid (PFNA) with gallstones. BKMR showed that PFDeA, PFNA, and PFUA had the highest groupPIP (groupPIP = 0.93); PFDeA (condPIP = 0.82), n-perfluorooctanoic acid (n-PFOA) (condPIP = 0.68), and n-PFOS (condPIP = 0.56) also had high condPIPs. Compared with the median level, the joint association of the PFAS mixture with gallstones showed a negative trend; when the PFAS mixture level was at the 70th percentile or higher, they were negatively associated with gallstones. Meanwhile, when other PFAS were fixed at the 25th, 50th, and 75th percentiles, PFDeA had negative associations with gallstones. Our evidence emphasizes that PFAS is negatively associated with gallstones, and more studies are needed in the future to definite the associations of PFAS with gallstones and explore the underlying biological mechanisms.
Collapse
Affiliation(s)
- Tianshan Shi
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Di Li
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Donghua Li
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Jin Sun
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Peng Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Tingrong Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Rui Li
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Zhenjuan Li
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Zixuan Zou
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaowei Ren
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China; Institute for Health Statistics and Intelligent Analysis, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
| |
Collapse
|
150
|
Zhou Y, Zhang L, Wang P, Li Q, Li J, Wang H, Gui Y, Liu Y, Sui X, Li J, Shi H, Zhang Y. Prenatal organophosphate esters exposure and neurodevelopment trajectory in infancy: Evidence from the Shanghai Maternal-Child Pairs Cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172366. [PMID: 38614325 DOI: 10.1016/j.scitotenv.2024.172366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/08/2024] [Accepted: 04/08/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Concerns remain about the neurotoxic properties of the ubiquitous organophosphate esters (OPEs), the replacement of the toxicant polybrominated diphenyl ethers. OBJECTIVES We examined the associations of prenatal exposure to OPEs and their mixtures with early-life neurodevelopment trajectories. METHODS Totally 1276 mother-child pairs were recruited from the Shanghai Maternal-Child Pairs Cohort. A high-performance liquid chromatography-triple quadrupole mass spectrometer was used to measure the levels of 7 OPEs in cord serum. Ages and Stages Questionnaires was used to examine children's neuropsychological development at 2, 6, 12, and 24 months of age. Group-based trajectory models were applied to derive the neurodevelopmental trajectories. Multiple linear regression and logistic regression model were performed to assess the relationships between OPEs exposure and neurodevelopment and trajectories. Mixtures for widely detected OPEs (n = 4) were investigated using quantile-based g-computation. RESULTS Tributyl phosphate (TBP), tris (2-butoxy ethyl) phosphate (TBEP), tris(1,3-dichloro-2-propyl) phosphate (TDCPP), and 2-ethylhexyl diphenyl phosphate (EHDPP), had detection rates >50 %. TDCPP had the highest median concentration (1.02 μg/L) in cord serum. EHDPP concentrations were negatively associated with scores in most domains at 12 months of age, with effect values (β) ranging from -1.89 to -0.57. EHDPP could negatively affect the total ASQ (OR = 1.07, 95 % CI: 1, 1.15) and gross-motor (OR = 1.09, 95 % CI: 1.02, 1.17) trajectory in infancy. Joint exposure to OPEs was associated with decreased scores in the total ASQ, gross-motor, fine-motor and problem-solving domain of 12-month-old infants, with β ranging from -5.93 to -1.25. In addition, the qgcomp models indicated significant positive associations between the concentrations of OPEs mixtures and risks of the persistently low group of the total ASQ, gross-motor and fine-motor development in early childhood. The impact of OPEs was more pronounced in boys. DISCUSSION Our findings suggested OPEs, especially EHDPP, had a persistently negative effect on neurodevelopment during the first 2 years.
Collapse
Affiliation(s)
- Yuhan Zhou
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China; Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Liyi Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Pengpeng Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Qiang Li
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Putuo District Center for Disease Control & Prevention, Shanghai 200333, China
| | - Jinhong Li
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Hang Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yuyan Gui
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yang Liu
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xinyao Sui
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Jiufeng Li
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Huijing Shi
- Key Laboratory of Public Health Safety, Ministry of Education, Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China
| | - Yunhui Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
| |
Collapse
|