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de Haro-Romero T, Peinado FM, Vela-Soria F, Lara-Ramos A, Fernández-Parra J, Molina-Lopez A, Ubiña A, Ocón O, Artacho-Cordón F, Freire C. Association between exposure to perfluoroalkyl substances (PFAS) and endometriosis in the ENDEA case-control study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175593. [PMID: 39179042 DOI: 10.1016/j.scitotenv.2024.175593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/15/2024] [Accepted: 08/15/2024] [Indexed: 08/26/2024]
Abstract
BACKGROUND Perfluoroalkyl substances (PFAS) are environmental contaminants present in a wide range of consumer products and frequently detected in drinking water. They have been linked to adverse reproductive health outcomes in women, but there is limited human evidence on the association of PFAS exposure with endometriosis. OBJECTIVE/AIM To explore the association between plasma concentrations of several PFAS, considered individually and as a mixture, and the risk of endometriosis in women of childbearing age. METHODS Between 2018 and 2020, 42 patients with endometriosis and 90 controls undergoing abdominal surgery were recruited at two public hospitals in Granada, Spain. The presence or absence of endometriosis was ascertained by laparoscopic inspection of the pelvis and biopsy of suspected lesions (histological diagnosis). Concentrations of 10 PFAS were quantified in plasma samples from participants. Unconditional logistic regression was employed to examine associations of individual PFAS and summed concentrations of short (∑SC) and long-chain (∑LC) PFAS with odds of endometriosis, and quantile g-computation was used to assess their mixture effect. RESULTS In models adjusted for age, schooling, and parity, perfluorotridecanoic acid (PFTrDA) was associated with higher odds of endometriosis (odds ratio [OR] = 1.74; 95 % CI = 1.11-2.73 per 2-fold increase in plasma concentrations), while marginally significant associations were found for perfluorohexane sulfonate (PFHxS) (OR = 1.45, 95 % CI = 0.94-2.21) and ∑SC PFAS (OR = 1.48; 95 % CI = 0.96-2.30). No associations were found for the remaining PFAS. The PFAS mixture was non-significantly associated with 1.7-fold higher odds of endometriosis (95 % CI = 0.73-3.80), with perfluorononanoic acid (PFNA), PFHxS, and PFTrDA being the major contributors to this effect. CONCLUSIONS These findings suggest that exposure to certain PFAS may increase the odds of endometriosis. However, given the modest sample size, further studies are warranted to verify these results.
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Affiliation(s)
- Teresa de Haro-Romero
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain; Clinical Laboratory Management Unit, San Cecilio University Hospital, 18016 Granada, Spain.
| | - Francisco M Peinado
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain; Biomedical Research Centre (CIBM), University of Granada, 18100 Granada, Spain; Department of Radiology and Physical Medicine, University of Granada, 18071 Granada, Spain.
| | - Fernando Vela-Soria
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain; Clinical Laboratory Management Unit, San Cecilio University Hospital, 18016 Granada, Spain.
| | - Ana Lara-Ramos
- Gynaecology and Obstetrics Unit, Virgen de las Nieves University Hospital, 18016 Granada, Spain
| | - Jorge Fernández-Parra
- Gynaecology and Obstetrics Unit, Virgen de las Nieves University Hospital, 18016 Granada, Spain
| | - Ana Molina-Lopez
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain; Gynaecology and Obstetrics Unit, San Cecilio University Hospital, 18016 Granada, Spain
| | - Alfredo Ubiña
- General Surgery Unit, San Cecilio University Hospital, E-18016, Granada, Spain
| | - Olga Ocón
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain; Gynaecology and Obstetrics Unit, San Cecilio University Hospital, 18016 Granada, Spain.
| | - Francisco Artacho-Cordón
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain; Department of Radiology and Physical Medicine, University of Granada, 18071 Granada, Spain; General Surgery Unit, San Cecilio University Hospital, E-18016, Granada, Spain.
| | - Carmen Freire
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain; CIBER of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain; Department of Legal Medicine, Toxicology and Physical Anthropology, School of Medicine, University of Granada, 18016 Granada, Spain.
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Gu H, Chen Z, Zhou R, Yang X, Zhang Q, Yang T, Chen X, Zhao L, Cheng S. Vitamin D deficiency may exacerbate the role of metal exposure in depression: A cross-sectional analysis of NHANES data from 2007 to 2018. J Affect Disord 2024; 365:265-275. [PMID: 39142580 DOI: 10.1016/j.jad.2024.08.004] [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: 11/05/2023] [Revised: 06/26/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
People are paying more and more attention to the effects of environmental factors such as heavy metals on depression, and heavy metals may destroy the homeostasis of vitamin D in the body by affecting human metabolism, and the lack of vitamin D will increase the risk of depression. There are few studies on vitamin D deficiency in depression caused by heavy metals, and it is not deep enough. Therefore, this study used logistic regression, restricted cubic spline curve, weighted quantile and Quantile g-computation model to analyze the effects of heavy metal exposure alone and in combination on vitamin D and depression, as well as the potential role of vitamin D deficiency in the process of heavy metal-induced depression. The results showed that cadmium exposure alone or in combination increased the risk of depression (P < 0.05). When Cd increased by 1 unit, the risk of depressive symptoms increased by 1.178 units. Arsenic and its compounds and lead affected vitamin D levels in the body and contributed the second highest or highest weight in the mixture (P < 0.05). It is worth noting that after grouping according to vitamin D deficiency, compared with the normal group, the mixed exposure of heavy metals in the vitamin D deficiency group had more types of metals related to depression and contributed more weight (P < 0.05). This study found that single metal or multi-metal mixed exposure is associated with depression. Vitamin D deficiency may increase the risk of depression. Vitamin D may be a potential factor in the treatment of depression caused by metal, and the specific mechanism of action needs further study.
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Affiliation(s)
- Huiwen Gu
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Zhongwen Chen
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Ruiqi Zhou
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Xiaohong Yang
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Qiuhao Zhang
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Tingting Yang
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Xieyi Chen
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Lingxiao Zhao
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China
| | - Shuqun Cheng
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, People's Republic of China.
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Gu J, Huang H, Tang P, Liao Q, Liang J, Tang Y, Long J, Chen J, Huang D, Liu S, Pan D, Zeng X, Qiu X. Association between maternal metal exposure during early pregnancy and intelligence in children aged 3-6 years: Results from a Chinese birth cohort. ENVIRONMENTAL RESEARCH 2024; 261:119685. [PMID: 39068966 DOI: 10.1016/j.envres.2024.119685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/10/2024] [Accepted: 07/24/2024] [Indexed: 07/30/2024]
Abstract
OBJECTIVE Maternal environmental metal exposure is common, but long-term prospective epidemiological evidence of its impact on children's intellectual development is still insufficient. METHODS Data on maternal plasma metal levels and child intelligence were obtained for 211 3-6-year-old children from Guangxi Zhuang Birth Cohort. ICP-MS was employed to detect 17 metals, including 7 essential metals (Mn, Fe, Co, Ni, Cu, Zn, Mo) and 10 non-essential metals (As, Rb, Sr, Cd, Sb, Cs, Ba, W, Pb, U), in maternal plasma samples obtained before 13 weeks of gestation during the initial maternity checkup. Child intelligence was assessed using the Wechsler Intelligence Scale for Children-Fourth Edition. The GLM, RCS and mixture models were used to assess the associations of maternal plasma metal levels with child intelligence quotient (IQ) scores. RESULTS The GLM analysis revealed that U had a significant adverse effect on child IQ scores in high-dose exposure groups (-9.236 [-18.644, -4.936], p = 0.006) after adjusting for covariates, while Sb showed a linear adverse effect on children's intelligence in the adjusted model (-4.028 [-7.432, -0.626], p = 0.021). BKMR modeling indicated that overall IQ scores decreased as concentrations of non-essential metals mixtures increased after adjusting for essential metal mixtures, consistent with findings from the WQS (β [95% CI], -8.463 [-14.449, -2.476], p = 0.007) and Qgcomp models (-7.003 [-12.928, -1.078], p = 0.022). Among the non-essential metals, U had the highest negative weight at 37.96%, followed by Pb (23.35%) and Sb (16.91%). Furthermore, potential interactions were observed between metals (Pb and U) and Sb in the study findings. CONCLUSION Reducing exposure to non-essential metal mixtures, especially U, Sb and Pb, during early pregnancy and ensuring adequate intake of specific essential metal elements could be a critical intervention in addressing childhood intellectual impairment.
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Affiliation(s)
- Junwang Gu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China; School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China
| | - Huishen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Peng Tang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Qian Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jun Liang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Ying Tang
- Department of Microbiology, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jinghua Long
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jiehua Chen
- Department of Microbiology, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Dongping Huang
- Department of Microbiology, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Shun Liu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Dongxiang Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiaoyun Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China; Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin 541001, Guangxi, China
| | - Xiaoqiang Qiu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
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Wesselink AK, Claus Henn B, Fruh V, Geller RJ, Coleman CM, Schildroth S, Sjodin A, Bethea TN, Noel NL, Baird DD, Wegienka G, Wise LA. Persistent endocrine-disrupting chemicals and incident uterine leiomyomata: A mixtures analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175871. [PMID: 39216750 PMCID: PMC11392607 DOI: 10.1016/j.scitotenv.2024.175871] [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: 05/17/2024] [Revised: 07/25/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Uterine leiomyomata (UL; fibroids) are hormone-dependent neoplasms that can cause significant gynecologic morbidity. Studies have documented associations between concentrations of persistent endocrine-disrupting chemicals (EDCs) and UL incidence; however, few have assessed the effects of EDC mixtures on UL. METHODS In the Study of Environment, Lifestyle, and Fibroids, a prospective cohort study, participants attended study visits at baseline and approximately every 20 months for up to 10 years; at each visit, they completed questionnaires, provided blood samples, and underwent standardized ultrasound examinations. In baseline plasma samples (n = 1155), we quantified concentrations of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), and organochlorine pesticides using high-resolution mass spectrometry. We selected nine EDCs detected in >60 % of samples (4 PCBs, 4 PBDEs, and 2,2-bis(4-chlorophenyl)-1,1-dichloroethene (p,p'-DDE)) and conducted probit Bayesian kernel machine regression with hierarchical variable selection to estimate effects of the EDC mixture and individual EDCs on UL incidence, adjusting for potential confounders. RESULTS During 10 years of follow-up, 32 % of participants developed ultrasound-detected UL. The EDC mixture was not appreciably associated with the probit of UL (β comparing all EDCs at their 75th vs. 50th percentile:= - 0.01, 95 % credible interval [CrI]: -0.11, 0.10). However, individual EDC concentrations were associated with UL in opposing directions: PCB138/158 was positively associated with UL (β for 25th-to-75th-percentile increase when all other chemicals were set to their 50th percentile = 0.18, 95 % CrI: -0.09, 0.44), whereas PBDE99 and p,p'-DDE were inversely associated with UL (β = -0.06, 95 % CrI: -0.21, 0.10 and β = -0.12, 95 % CrI: -0.34, 0.10, respectively). There was little evidence of interaction between EDCs. CONCLUSION In this prospective ultrasound study, a mixture of persistent EDCs was not appreciably associated with incident UL during 10 years of follow-up, but individual EDCs were associated with UL in opposite directions.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America.
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States of America
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States of America
| | - Ruth J Geller
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Chad M Coleman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Samantha Schildroth
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Andreas Sjodin
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Traci N Bethea
- Lombardi Cancer Center, Georgetown University, Washington, DC, United States of America
| | - Nyia L Noel
- Department of Obstetrics & Gynecology, Chobanian and Avedisian School of Medicine, Boston University, Boston Medical Center, United States of America
| | - Donna D Baird
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States of America
| | | | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
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Shi H, Zheng G, Wang C, Qian SE, Zhang J, Wang X, Vaughn MG, McMillin SE, Lin H. Air pollution associated with cardiopulmonary disease and mortality among participants with preserved ratio impaired spirometry. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175395. [PMID: 39122030 DOI: 10.1016/j.scitotenv.2024.175395] [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: 07/25/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Epidemiological evidence regarding the association between air pollutants and cardiopulmonary disease, mortality in individuals with preserved ratio impaired spirometry (PRISm), and their combined effects remains unclear. METHODS We followed 36,149 participants with PRISm in the UK Biobank study. Annual concentrations of PM2.5, PM10, NO2, NOx, and SO2 at residential addresses were determined using a bilinear interpolation method, accounting for address changes. A multistate model assessed the dynamic associations between air pollutants and cardiopulmonary diseases and mortality in PRISm. Quantile g-computation was used to investigate the joint effects of air pollutants. RESULTS Long-term exposure to PM2.5, PM10, NO2, NOx, and SO2 was significantly associated with the risk of cardiopulmonary disease in PRISm. The corresponding hazard ratios (HRs) [95 % confidence intervals (95 % CIs)] per interquartile range (IQR) were 1.49 (1.43, 1.54), 1.52 (1.46, 1.57), 1.34 (1.30, 1.39), 1.30 (1.26, 1.34), and 1.44 (1.41, 1.48), respectively. For mortality, the corresponding HRs (95 % CIs) per IQR were 1.36 (1.25, 1.47), 1.35 (1.24, 1.46), 1.27 (1.18, 1.36), 1.23 (1.15, 1.31), and 1.29 (1.20, 1.39), respectively. In PRISm, quantile g-computation analysis demonstrated that a quartile increase in exposure to a mixture of all air pollutants was positively associated with the risk of cardiopulmonary disease and mortality, with HRs (95 % CIs) of 1.84 (1.76, 3.84) and 1.45 (1.32, 1.57), respectively. CONCLUSION Long-term individual and joint exposure to air pollutants (PM2.5, PM10, NO2, NOx, and SO2) might be an important risk factor for cardiopulmonary disease and mortality in high-risk populations with PRISm.
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Affiliation(s)
- Hui Shi
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guzhengyue Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Samantha E Qian
- College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USA
| | - Jingyi Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Cao S, Wan Y, Li Y, Xu S, Xia W. Urinary polycyclic aromatic hydrocarbon metabolites in Chinese pregnant women: Concentrations, variability, predictors, and association with oxidative stress biomarkers. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175121. [PMID: 39084365 DOI: 10.1016/j.scitotenv.2024.175121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Revised: 07/26/2024] [Accepted: 07/27/2024] [Indexed: 08/02/2024]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are a class of pervasive contaminants having adverse health effects. Urinary monohydroxylated PAHs (OH-PAHs) are commonly employed as biomarkers to estimate PAH exposure levels in humans. However, little is understood about the variability in OH-PAHs among pregnant women across trimesters and their relationship with oxidative stress biomarkers (OSBs). Based on a prospective birth cohort study conducted in Wuhan, China, we selected 644 women who donated (spot) urine samples across different trimesters and measured the urinary concentrations of eight OH-PAHs and three selected OSBs (8-OHG, 8-OHdG, and HNEMA) to explore the relationship between the OH-PAHs and OSBs. Pregnant women were found to be ubiquitously exposed to the PAHs, with detection rates of the OH-PAHs ranging from 86.3% to 100%. 2-Hydroxynaphthalene (2-OH-Nap) had the highest urinary concentrations among the OH-PAHs during the three trimesters (specific gravity-adjusted median values for the first, second, and third trimesters: 1.86, 2.39, and 2.20 ng/mL, respectively). However, low reproducibility of the OH-PAHs was observed across the three trimesters with intraclass correlation coefficients ranged between 0.02 and 0.22. Most urinary OH-PAHs had the highest concentrations at the first trimester and the lowest at the third trimester. Some OH-PAH concentrations were higher in pregnant women with lower educational level [2-hydroxyphenanthrene (2-OH-Phen) and 3-hydroxyphenanthrene (3-OH-Phen)], those who were overweight [2-OH-Nap, 2/3-hydroxyfluorene (2/3-OH-Fluo), 2-OH-Phen, and 4-hydroxyphenanthrene (4-OH-Phen)], those who were unemployed during pregnancy [1-hydroxynaphthalene, 1/9-hydroxyphenanthrene, and 4-OH-Phen], and the samples donated in summer (most OH-PAHs, except for 2-OH-Nap). In multivariable linear mixed-effects model analyses, every OH-PAH was found to be significantly associated with increased levels of the three OSBs. For example, each interquartile range-fold increase in 2/3-OH-Fluo concentration was associated with the largest increase in 8-OHdG (65.4%) and 8-OHG (49.1%), while each interquartile range-fold increase in 3-OH-Phen concentration was associated with the largest increase in HNEMA (76.3%). Weighted quantile sum regression models, which were used to examine the joint effect of OH-PAH mixture on the OSBs, revealed positive associations between the OH-PAH mixture exposure and the OSBs. Specifically, 2/3-OH-Fluo and 2-OH-Nap were the major contributors in the association with oxidative damage of nucleic acids (8-OHdG and 8-OHG), while hydroxyphenanthrenes and 1-hydroxypyrene were the major contributors in the association with oxidative damage of lipid (HNEMA). Further work is required to examine the potential mediating role of oxidative stress in the relationship of adverse health outcomes with elevated PAH exposure among pregnant women.
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Affiliation(s)
- Shuting Cao
- 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 430030, Hubei, China
| | - Yanjian Wan
- Center for Public Health Laboratory Service, Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China
| | - Yuanyuan Li
- 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 430030, Hubei, China
| | - Shunqing Xu
- 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 430030, Hubei, China
| | - Wei Xia
- 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 430030, Hubei, China.
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Chen S, Zhang Y, Lin Z, Liu R, Zheng L, Chen X, Lin S, Qu Y, Hao C, Tang H, Wei J, Zhang W, Hao Y. The joint impact of PM 2.5 constituents on the risk of cerebrovascular diseases hospitalization: A large community-based cohort study. ENVIRONMENTAL RESEARCH 2024; 260:119644. [PMID: 39059620 DOI: 10.1016/j.envres.2024.119644] [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: 04/08/2024] [Revised: 06/19/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024]
Abstract
Air pollution poses significant health risks to urban areas, with limited focus on the chronic association of PM2.5 and its constituents on cerebrovascular diseases (CERs), especially regarding the joint associations. This study explores the individual and joint associations between PM2.5 constituents and CER hospitalization risks through a cohort analysis of 36,271 adults in the Pearl River Delta, South China, from 2015 to 2020. Cox proportional hazards regression and quantile-based g-computation models were used to quantify the individual and joint associations of annual mean concentrations of PM2.5 constituents with hospitalization for CERs. 1151 participants were hospitalized due to CERs during the five-year follow-up period. Joint associations analyses identified that one quartile increase in co-exposure may result in hazard ratios of 1.530 (1.441-1.623), 1.840 (1.710-1.980), and 1.609 (1.491-1.737) for CERs, total, and ischemic stroke hospitalization, respectively. The adverse effect was primarily driven by organic matter and chlorine. Men, those with a history of tobacco or alcohol use or with low residential greenness, were more susceptible to CERs hospitalization following PM2.5 constituents co-exposure. Upcoming strategies should focus on monitoring and regulating PM2.5 constituents, encouraging healthy lifestyles, and enhancing urban greenery.
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Affiliation(s)
- Shirui Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Ziqiang Lin
- Department of Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China
| | - Ruqing Liu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Lingling Zheng
- Institute of Advanced Computing and Digital Engineering, Shenzhen Institute of Advanced Technology Chinese Academy of Science, Shenzhen, China
| | - Xiuyuan Chen
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Yanji Qu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, China
| | - Chun Hao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Hui Tang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education Peking, China.
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Gao C, Luo L, Fan Y, Guo L, Guo L, Tao L, Tao F, Xu DX, Gibson RA, Makrides M, Wang H, Huang Y. Gestational PFAS exposure and newborn size: The modifying effect of cord blood fatty acids. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2024; 22:100476. [PMID: 39228809 PMCID: PMC11369372 DOI: 10.1016/j.ese.2024.100476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 09/05/2024]
Abstract
Per- and polyfluoroalkyl substances (PFASs) can disrupt lipid metabolism, and changes in cord blood fatty acid composition have been observed in small newborns. Emerging evidence suggests that exposure to PFASs during pregnancy is linked to decreased newborn size, although the evidence is not consistent. The modifying effect of fatty acids on the associations of gestational PFAS exposure with newborn size is still unknown. Here we show that the nutritional status of the fetus, as indicated by the level of fatty acids in the cord blood, mitigates the adverse effects of gestational PFAS exposure on the size of the newborn. Our study confirms the adverse developmental effects of PFASs and identifies emerging short-chain PFASs as the primary drivers of reduced newborn size, despite their lower exposure burden compared to legacy PFASs. Additionally, we find the protective role of cord blood fatty acids, suggesting potential strategies for mitigating the detrimental effects of emerging environmental exposures on human health. Our findings provide new evidence of the potential toxicity of emerging PFASs and call for further toxicity evaluations of these pollutants for regulatory purposes. Future studies should consider the complex interaction between exposure and nutrition within the human body, particularly during the first thousand days of life, to promote lifelong health.
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Affiliation(s)
- Chang Gao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
| | - Lin Luo
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
| | - Yijun Fan
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Liyan Guo
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
| | - Lijuan Guo
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
| | - Lin Tao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
| | - Fangbiao Tao
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
- Department of Maternal & Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230031, China
| | - De-Xiang Xu
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
| | - Robert A. Gibson
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, North Adelaide, 5000, South Australia, Australia
| | - Maria Makrides
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, North Adelaide, 5000, South Australia, Australia
| | - Hua Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
| | - Yichao Huang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230031, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230031, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, 230031, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230031, China
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
- Clinical Research Center, Suzhou Hospital of Anhui Medical University, Suzhou, 234099, China
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9
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Frndak S, Cudjoe T, Thorpe RJ, Deng Z, Ward-Caviness CK, Clarke KA, Dickerson AS. Social cohesion as a modifier of joint air pollution exposure and incident dementia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175149. [PMID: 39084376 DOI: 10.1016/j.scitotenv.2024.175149] [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: 01/19/2024] [Revised: 06/19/2024] [Accepted: 07/28/2024] [Indexed: 08/02/2024]
Abstract
Social cohesion can reduce stress, increase social interaction, and improve cognitive reserve. These social mechanisms may modify the effects of air pollution on dementia risk. This cohort study examines the potential moderating effect of social cohesion on associations between joint air pollution exposure and incident dementia leveraging data from 5112 community-dwelling adults ≥65 years of age enrolled in the National Health and Aging Trends Study (NHATS). Study participants were enrolled in 2011 and followed through 2018. We assigned 2010 residential census tract-level exposures to five air pollutants, particulate matter (PM) ≤ 10 μm in diameter, PM ≤ 2.5 μm in diameter, carbon monoxide, nitric oxide, and nitrogen dioxide, using the US Environmental Protection Agency's Community Multiscale Air Quality Modeling System. Dementia status was determined based on self- or proxy-reported dementia diagnosis or "probable dementia" according to NHATS cognitive screening tools. Participants' self-rated neighborhood social cohesion was evaluated based on three questions: neighbors knowing each other, being helpful, and being trustworthy. Social cohesion was dichotomized at the median into high vs low social cohesion. Associations between air pollutants and incident dementia were assessed using quantile g-computation Cox proportional hazard models and stratified by high vs low social cohesion, adjusting for age, sex, education, partner status, urbanicity, annual income, race and ethnicity, years lived at current residence, neighborhood disadvantage index, and tract segregation. High social cohesion (HR = 1.20, 95 % CI = 0.98, 1.47) and air pollution (HR = 1.08, 95 % CI = 0.92, 1.28) were not associated with incident dementia alone. However, when stratified, greater joint air pollution exposure increased dementia risk among participants at low (HR = 1.34, 95 % CI = 1.04, 1.72), but not high (HR = 1.00, 95 % CI = 0.93, 1.06) social cohesion. Air pollution was a risk factor for dementia only when reported social cohesion was low, suggesting that social interaction may play a protective role, mitigating dementia risk via air pollution exposure.
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Affiliation(s)
- Seth Frndak
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Thomas Cudjoe
- Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins School of Medicine, United States of America
| | - Roland J Thorpe
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, United States of America; Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, United States of America; Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, United States of America
| | - Zhengyi Deng
- Department of Urology, Stanford School of Medicine, United States of America
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, United States of America
| | - Kayan A Clarke
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Aisha S Dickerson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States of America; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, United States of America; Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, United States of America; Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, United States of America.
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10
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Grant-Alfieri A, Herman WH, Watkins DJ, Batterman S, Karvonen-Gutierrez C, Park SK. Associations of serum persistent organic pollutant concentrations with incident diabetes in midlife women: The Study of Women's Health Across the Nation Multi-Pollutant Study. ENVIRONMENTAL RESEARCH 2024; 260:119582. [PMID: 38992756 DOI: 10.1016/j.envres.2024.119582] [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: 03/17/2024] [Revised: 06/30/2024] [Accepted: 07/07/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND Organochlorine pesticides (OCPs), polybrominated diphenyl ethers (PBDEs), and polychlorinated biphenyls (PCBs) are persistent organic pollutants (POPs) that can negatively impact metabolic health through pathways including endocrine disruption. Few studies have evaluated diabetes risk associated with PBDEs. Little is known about the joint effect of exposure to POP mixtures on diabetes risk. OBJECTIVES We investigated the relationship between POPs, individually and as mixtures, and diabetes development over 18 years (1999-2016) in midlife women. METHODS We measured lipid-standardized serum concentrations of 34 PCBs, 19 OCPs, and 14 PBDEs in 1040 midlife women aged 45-56 years from the Study of Women's Health Across the Nation. We tested the association between POPs measured in 1999/2000 and incident diabetes using Cox proportional hazards models. We evaluated diabetes risk associated with the overall POP mixture using Quantile-Based G-Computation (QBGC). RESULTS For most mixture components, single pollutant and mixtures analyses indicated null associations with diabetes risk, however results were inconsistent. After adjustment, hazard ratios (HRs) of developing diabetes (95% CI) associated with upper exposure tertiles (T2/T3) compared with the first tertile (T1), were 1.7 (1.0, 2.8) at T2 and 1.5 (0.84, 2.7) at T3 for hexachlorobenzene and 1.9 (1.1, 3.3) at T2 and 1.6 (0.88, 2.9) at T3 for PCB 123. A doubling of PBDE 47 was associated with 1.11 (1.00, 1.24) times the risk of T2D. QBGC identified no association for the overall joint effect of the POP mixture on diabetes (HR = 1.04 [0.53, 2.07]). CONCLUSION Exposure to a mixture of PCBs, OCPs, and PBDEs was not associated with incident diabetes in midlife U.S. women, although some individual POPs demonstrated significant yet inconsistent associations with diabetes. Non-linear and non-monotonic dose-response dynamics deserve further exploration. More research is needed on the diabetogenic effects of PBDEs.
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Affiliation(s)
- Amelia Grant-Alfieri
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - William H Herman
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA; Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Stuart Batterman
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Sung Kyun Park
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
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11
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Wu L, Xin Y, Zhang J, Cui F, Chen T, Chen L, Ma J, Niu P. Metabolic signatures of population exposure to metal mixtures: A metabolome-wide association study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 360:124673. [PMID: 39103040 DOI: 10.1016/j.envpol.2024.124673] [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: 03/11/2024] [Revised: 07/28/2024] [Accepted: 08/03/2024] [Indexed: 08/07/2024]
Abstract
Numerous studies have explored the health impacts of individual metal exposures, yet the effects of metal mixtures on human endogenous metabolism remain largely unexplored. We aimed to assess the serum metabolic signatures of people exposed to metal mixtures. Serum and urine samples were collected from 186 workers at a steel factory in Anhui, China, in September 2019. Inductively coupled plasma mass spectrometry was used to analyze the concentrations of 23 metal elements. The serum metabolome was determined by liquid chromatography-mass spectrometry (LC-MS). A metabolome-wide association study (MWAS) was performed across the metal exposures and metabolism using quantile g-computation modeling. Pathway enrichment analysis was performed using MetaboAnalyst. We identified 226 metabolites associated with metal mixtures, primarily involving lipid metabolism (glycerophospholipids, sphingolipids), amino acid metabolism (arginine and proline, alanine, aspartate and glutamate metabolism) and caffeine metabolic pathways. Exposure to metal mixtures is mainly associated with alterations in lipid metabolism and amino acid metabolism, particularly in the glycerophospholipid and arginine and proline metabolism pathways.
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Affiliation(s)
- Luli Wu
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China
| | - Ye Xin
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China
| | - Junrou Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China
| | - Fengtao Cui
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China; Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, 235000, Huaibei, Anhui Province, China
| | - Tian Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China
| | - Li Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China
| | - Junxiang Ma
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China
| | - Piye Niu
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, 100069, Beijing, China.
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12
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Gwak E, Shin JW, Kim SY, Lee JT, Jeon OH, Choe SA. Exposure to ambient air pollution mixture and senescence-associated secretory phenotype proteins among middle-aged and older women. ENVIRONMENTAL RESEARCH 2024; 260:119642. [PMID: 39029725 DOI: 10.1016/j.envres.2024.119642] [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: 03/17/2024] [Revised: 06/30/2024] [Accepted: 07/17/2024] [Indexed: 07/21/2024]
Abstract
Our study aimed to investigate the impact of environmental exposures, such as ambient air pollutants, on systemic inflammation and cellular senescence in middle-aged and older women. We utilized epidemiological data linked with exposure data of six air pollutants (particulate matters [PM10, PM2.5], sulphur dioxide [SO2], nitrogen dioxide [NO2], carbon monoxide [CO], and ozone [O3]) and blood samples of 380 peri- and postmenopausal women participants of the Korean Genome and Epidemiology Study. We measured blood high-sensitivity C-reactive protein (hsCRP) and age-related 27 circulatory senescence-associated secretory phenotypes (SASP) produced by senescent cells. We employed single exposure models to explore the general pattern of association between air pollution exposure and proteomic markers. Using quantile g-computation models, we assessed the association of six air pollutant mixtures with hsCRP and SASP proteins. In single-exposure, single-period models, nine out of the 27 SASP proteins including IFN-γ (β = 0.04, 95% CI: 0.01, 0.07 per interquartile range-increase), IL-8 (0.15, 95% CI: 0.09, 0.20), and MIP1α (0.11, 95% CI: 0.04, 0.18) were positively associated with the average level of O3 over one week. Among the age-related SASP proteins, IFN-γ (0.11, 95% CI: 0.03, 0.20) and IL-8 (0.22, 95% CI: 0.05, 0.39) were positively associated with exposure to air pollutant mixture over one week. The MIP1β was higher with an increasing one-month average concentration of the air pollutant mixture (0.11, 95% CI: 0.00, 0.21). The IL-8 showed consistently positive association with the ambient air pollutant mixture for the exposure periods ranging from one week to one year. O3 predominantly showed positive weights in the associations between air pollutant mixtures and IL-8. These findings underscore the potential of proteomic indicators as markers for biological aging attributed to short-term air pollution exposure.
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Affiliation(s)
- Eunseon Gwak
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Ji-Won Shin
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408, Republic of Korea
| | - Jong Tae Lee
- School of Health Policy and Management, College of Health Sciences, Korea University, Seoul, 02841, Republic of Korea; Research and Management Center for Health Risk of Particulate Matter, Korea University, Seoul, 02841, Republic of Korea
| | - Ok Hee Jeon
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea.
| | - Seung-Ah Choe
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, 02841, Republic of Korea; Research and Management Center for Health Risk of Particulate Matter, Korea University, Seoul, 02841, Republic of Korea.
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13
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Zhang W, Kong M, Jiang Y, Gan Q, Wei J, Zhang Q, Wang J, Shen J, Wu S. Ambient air pollutants exposure during gestation and incidence risk of hypertensive disorders of pregnancy or preeclampsia in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 359:124722. [PMID: 39147229 DOI: 10.1016/j.envpol.2024.124722] [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: 03/21/2024] [Revised: 06/27/2024] [Accepted: 08/11/2024] [Indexed: 08/17/2024]
Abstract
The relationships between the exposure to ambient air pollutants during gestation and the incidence of hypertensive disorders in pregnancy (HDPs) or preeclampsia are contradictory. This prospective cohort study enrolled the participants between January 2020 and December 2021 from the Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology. The exposure to ambient air pollutants and daily temperatures were obtained from the ChinaHighAirPollutants dataset and the Big Earth Data Platform for Three Poles, respectively. Logistic regression models were used as single- and two-pollutant models. Restricted cubic splines were applied to each ambient air pollutant exposure to further evaluate the exposure-response relationships. Quantile G-computation approaches were employed to evaluate the cumulative impact of mixed ambient air pollutants on the incidence risk HDPs and preeclampsia. Among 19,325 participants (median age: 30.2 years), 1669 (8.64%) were diagnosed with HDPs and 180 (0.94%) with preeclampsia. While mostly null risk estimates were observed, exposure to PM1, PM2.5, PM10, and NO2 correlated with a decreased incidence risk for HDPs and preeclampsia during most gestational periods. Additionally, our multi-pollutant model presented that an increase by one quartile in the cumulative effect of ambient air pollutants was associated with a significantly decreased incidence risk for HDPs in the trimester before gestation and in the third trimester during gestation, as well as for preeclampsia in the third trimester during gestation. These findings warrant further investigation into the mechanisms underlying these associations.
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Affiliation(s)
- Wenkai Zhang
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Minghao Kong
- Tongji University School of Medicine, Shanghai, China
| | - Yuan Jiang
- Tongji University School of Medicine, Shanghai, China
| | - Quan Gan
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Qing Zhang
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiayi Wang
- School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Jun Shen
- Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Shijie Wu
- Tongji University School of Medicine, Shanghai, China.
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14
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Wu H, Liu J, Conway E, Zhan N, Zheng L, Sun S, Li J. Fine particulate matter components associated with exacerbated depressive symptoms among middle-aged and older adults in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174228. [PMID: 38914329 DOI: 10.1016/j.scitotenv.2024.174228] [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: 03/07/2024] [Revised: 05/22/2024] [Accepted: 06/21/2024] [Indexed: 06/26/2024]
Abstract
Growing awareness acknowledges ambient fine particulate matter (PM2.5) as an environmental risk factor for mental disorders, especially among older people. However, there remains limited evidence regarding which specific chemical components of PM2.5 may be more detrimental. This nationwide prospective cohort study included 22,126 middle-aged and older adult participants of the China Health and Retirement Longitudinal Study (CHARLS, 2011-2016), to explore the individual and joint associations between long-term exposure to various PM2.5 components (sulfate, nitrate, ammonium, organic matter, and black carbon) and depressive symptoms. The depressive symptoms were assessed using the 10-item Center for Epidemiological Studies-Depression Scale (CES-D-10). Using the novel quantile-based g-computation for multi-pollutant mixture analysis, we found that exposure to the mixture of major PM2.5 components was significantly associated with aggravating depressive symptoms, with the exposure-response curve exhibiting consistent linear or supra-linear shape without a lower threshold. The estimated weight index indicated that, among major PM2.5 components, only nitrate, sulfate, and black carbon significantly contributed to the exacerbation of depressive symptoms. Given the expanding aging population, stricter regulation on the emissions of particularly toxic PM2.5 components may mitigate the escalating disease burden of depression.
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Affiliation(s)
- Haisheng Wu
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Jiaqi Liu
- Department of Mathematics, Faculty of Science, The University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Erica Conway
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Na Zhan
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China
| | | | - Shengzhi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
| | - Jinhui Li
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA.
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15
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Wang R, Cheng X, Long T, Jia C, Xu Y, Wei Y, Zhang Y, He X, He M. Plasma metals, genetic risk, and rapid kidney function decline among type 2 diabetes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174069. [PMID: 38908586 DOI: 10.1016/j.scitotenv.2024.174069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 05/22/2024] [Accepted: 06/15/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Rapid kidney function decline (RKFD) is a main clinical feature of early chronic kidney disease (CKD) in type 2 diabetes (T2D). Environmental and genetic factors influencing RKFD remain inadequately elucidated. OBJECTIVES This study aimed to examine the associations of metals with RKFD among T2D and to further investigate the effect of metal mixtures on RKFD with the modifying effect of genetic susceptibility. METHODS This study included 2209 people with T2D (1942 had genotyping data) free of CKD at baseline from the Dongfeng-Tongji cohort. We used inductively coupled plasma-mass spectrometry (ICP-MS) to measure 23 metals in baseline plasma. Using elastic net (ENET), multivariate logistic regression, and Bayesian kernel machine regression (BKMR) model, we examined independent associations of multiple metals with RKFD. We calculated the environmental risk score (ERS) to assess the effects of metal mixtures on RKFD and the genetic risk score (GRS) to assess genetic susceptibility. RKFD was defined as estimated glomerular filtration rate (eGFR) loss > 3 mL/min/1.73 m2/year. RESULTS During a median of 9.8 years follow-up, 262 participants developed RKFD. Aluminum, vanadium, zinc, selenium, rubidium, tin, barium, and tungsten were screened from ENET. In multivariate logistic models, vanadium, selenium, and tungsten were negatively associated with RKFD, while zinc, tin, and rubidium were positively associated. The BKMR showed a nonlinear association of vanadium and rubidium with RKFD and interactions between metals (barium‑vanadium, barium‑rubidium). The ERS was positive associated with RKFD (per SD increase in ERS, OR = 1.94, 95% CI: 1.66, 2.27). No significant interaction between ERS and GRS was observed on RKFD, however, participants in the highest ERS and GRS group had the highest RKFD risk. CONCLUSION Vanadium and rubidium were associated with RKFD in T2D. Metal mixtures was associated with an increased risk of RKFD in T2D, particularly in those at high genetic risk.
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Affiliation(s)
- Ruixin Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xu Cheng
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Tengfei Long
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Chengyong Jia
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yali Xu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yue Wei
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Ying Zhang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiangjing He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
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Cui Z, Yi X, Huang Y, Li M, Zhang Z, Kuang L, Song R, Liu J, Pan R, Yi W, Jin X, Song J, Cheng J, Wang W, Su H. Effects of socioeconomic status and regional inequality on the association between PM 2.5 and its components and cardiometabolic multimorbidity: A multicenter population-based survey in eastern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174453. [PMID: 38964410 DOI: 10.1016/j.scitotenv.2024.174453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 06/25/2024] [Accepted: 07/01/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Despite evidence linking fine particulate matter (PM2.5) to cardiometabolic multimorbidity (CMM), the impact of its components remains unclear. Socioeconomic status (SES) and regional disparities may confound their association. We aim to evaluate the associations between PM2.5 components and CMM and explore how socioeconomic status and regional disparities affect these relationships. METHODS We recruited 108,941 participants aged 35-76 years from ten cities in eastern China. Individual exposure was assessed using Tracking Air Pollution in China (TAP) data, including PM2.5 and five components: ammonium (NH4+), black carbon (BC), nitrates (NO3-), organic matter (OM), and sulfates (SO42-). Generalized linear models and quantile g-computation models were employed to quantify the effects of PM2.5 components on CMM and to identify key components. Stratified analyses were performed to investigate the modifying effect of SES and regional disparities. RESULTS For each increase in interquartile range (IQR), BC (odds ratio [OR] 1.37, 95 % CI 1.29-1.47), OM (1.38, 1.29-1.48), NH4+ (1.31, 1.21-1.40), NO3- (1.34, 1.25-1.44), and SO42- (1.28, 1.20-1.38) were positively associated with CMM. Joint exposure to five components was significantly positively associated with CMM (OR: 1.27, 95 % CI: 1.21-1.33), with SO42- having the highest estimated weight, followed by NO3- and BC. These associations were stronger for participants from low socio-economic status and poor regions. CONCLUSION In summary, we found a stronger hazard effect of PM2.5 and its components on CMM, compared to those suffering from CMDs, particularly among participants with low socioeconomic status and in poor regions. SO42- may be a primary contributor to the association between PM2.5 components and CMM. These findings underscore the importance of prioritizing CMM and targeting SO42-related pollution sources in health policies, particularly amid China's aging population, reducing environmental health inequalities is critical.
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Affiliation(s)
- Zhiqian Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xinxu Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yuxin Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Ming Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Zichen Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Lingmei Kuang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | | | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China.
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Li H, Tong J, Wang X, Lu M, Yang F, Gao H, Gan H, Yan S, Gao G, Huang K, Cao Y, Tao F. Associations of prenatal exposure to individual and mixed organophosphate esters with ADHD symptom trajectories in preschool children: The modifying effects of maternal Vitamin D. JOURNAL OF HAZARDOUS MATERIALS 2024; 478:135541. [PMID: 39154480 DOI: 10.1016/j.jhazmat.2024.135541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/31/2024] [Accepted: 08/14/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Organophosphate esters (OPEs) are a class of environmental chemicals with endocrine-disrupting properties. Epidemiologic studies have demonstrated that prenatal OPEs exposure is associated with neurodevelopmental disorders in offspring. However, studies assessing the effects of prenatal OPEs exposure on the dynamic changes in attention deficit hyperactivity disorder (ADHD) symptoms in preschoolers are scarce. Since vitamin D has been demonstrated to have a "neuroprotective" effect, the modifying effects of maternal vitamin D were estimated. METHODS The present study included 2410 pregnant women from the Ma'anshan Birth Cohort. The levels of OPEs in the mothers' urine were examined in the three trimesters. The Chinese version of the Conners Abbreviated Symptom Questionnaire was used to examine preschoolers' ADHD symptoms at 3, 5, and 6 years of age. ADHD symptom trajectories were fitted via group-based trajectory modeling. We used multinomial logistic regression, Bayesian kernel machine regression, quantile-based g-computation, and generalized linear models to assess individual and mixed relationships between OPEs during pregnancy and preschoolers' ADHD symptoms and trajectories. RESULTS Preschoolers' ADHD symptom scores were fitted to 3 trajectories, including the low-score, moderate-score, and high-score groups. First-trimester dibutyl phosphate (DBP), second-trimester bis(2-butoxyethyl) phosphate (BBOEP), and third-trimester diphenyl phosphate (DPHP) were associated with an increased risk in the high-score group (p < 0.05). BBOEP in the third trimester was associated with decreased risk in the moderate-score group (OR = 0.89, 95% CI: 0.79, 1.00). For mothers with 25(OH)D deficiency, a positive relationship was observed between OPEs during pregnancy and symptom trajectories. Our results did not reveal any mixed effects of OPEs on ADHD symptom trajectories. CONCLUSION Prenatal exposure to OPEs had heterogeneous associations with ADHD symptom trajectories in preschoolers. Additionally, the effect of individual OPEs on symptom trajectories was intensified by vitamin D deficiency.
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Affiliation(s)
- Han Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 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; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Hefei 230032, Anhui, China
| | - Xing Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Mengjuan Lu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Hefei 230032, Anhui, China
| | - Fengyu Yang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Hui Gao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Hefei 230032, Anhui, China; Department of Pediatrics, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, 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; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Hefei 230032, Anhui, China
| | - Shuangqin Yan
- Ma'anshan Maternal and Child Health Care Hospital, Ma'anshan 243011, Anhui, China
| | - Guopeng Gao
- Ma'anshan Maternal and Child Health Care Hospital, Ma'anshan 243011, 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; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Hefei 230032, Anhui, China; National Health Commission Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yunxia Cao
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; National Health Commission Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, 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; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Hefei 230032, Anhui, China; National Health Commission Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China.
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Begum S, Prince N, Mínguez-Alarcón L, Chen Y, Soeteman DI, Fangal V, Huang M, Wheelock C, Mendez K, Litonjua AA, Weiss ST, Lasky-Su J, Kelly RS. Pregnancy complications and birth outcomes following low-level exposure to per- and polyfluoroalkyl substances in the vitamin D antenatal asthma reduction trial. ENVIRONMENTAL SCIENCE. ADVANCES 2024; 3:1426-1437. [PMID: 39156222 PMCID: PMC11328948 DOI: 10.1039/d4va00001c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 08/12/2024] [Indexed: 08/20/2024]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are a group of synthetic, highly fluorinated aliphatic compounds, commonly utilised in a wide variety of consumer products with diverse applications. Since the genesis of these compounds, a growing body of evidence has demonstrated adverse health effects associated with PFAS exposure. In a racially diverse cohort of 459 pregnant mothers, demographically weighted towards minority representation (black 44.4%, white 38.4%, other 17.2%), across three major populous cities of the US, PFAS profiling was performed. Nine distinct PFAS species were quantified using mass spectrometry in plasma samples collected during the third trimester. Multivariable logistic and linear regression analyses were conducted to interrogate the associations of PFAS with gestational and birth outcomes: gestational diabetes, preeclampsia, gestational age at delivery, low birth weight, birth weight-, birth length- and head circumference-for-gestational-age. Detectable levels for eight out of nine profiled PFAS species were found in the plasma of pregnant mothers with a median range of 0.1-2.70 ng ml-1. Using a mixtures approach, we observe that increased quantile-based g-computation (Qg-comp) "total" PFAS levels were associated with increased newborn birth-weight-for-gestational-age (β 1.28; 95% CI 1.07-1.52; FDR p 0.006). In study centre-stratified analyses, we observed a similar trend in Boston pregnant mothers, with Qg-comp total PFAS associated with higher newborn birth-weight-for-gestational-age (β 1.39; 95% CI 1.01-1.92, FDR p 0.05). We additionally found elevated PFUA concentrations were associated with longer gestational terms in San Diego pregnant mothers (β 0.60; 95% CI 0.18-1.02, FDR p 0.05). In this multi-city study, we detected lower levels of PFAS than in many previous US environmental studies, concordant with current US trends indicating environmental PFAS levels are falling, and we note geographical variation in the associations between PFAS levels and birth outcomes.
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Affiliation(s)
- Sofina Begum
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London London UK
| | - Nicole Prince
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
| | - Lidia Mínguez-Alarcón
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
- Department of Environmental Health, Harvard T. H. Chan School of Public Health Boston MA USA
| | - Yulu Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
| | - Djøra I Soeteman
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
- Center for Health Decision Science, Harvard T. H. Chan School of Public Health Boston MA USA
| | - Vrushali Fangal
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
- Weill Institute for Cell and Molecular Biology, Cornell University Ithaca NY USA
| | - Mengna Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
| | - Craig Wheelock
- Department of Medical Biochemistry and Biophysics, Division of Physiological Chemistry 2, Karolinska Institute Stockholm Sweden
| | - Kevin Mendez
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
| | - Augusto A Litonjua
- Division of Pediatric Pulmonary Medicine, Department of Pediatrics, University of Rochester Medical Center Rochester NY USA
| | - Scott T Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
| | - Rachel S Kelly
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School 181 Longwood Avenue Boston MA 02115 USA +1 (617) 525-0065
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Wei J, Wang Y, Kong H, Wu J, Jiang L, Pan B, Guo S, Yang F, Liu G, Qiu F, Guo J, Zhang Y, Nie J, Yang J. Association between plasma CC16 levels and lung function changes in coke oven workers: A cohort study from 2014 to 2023. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:117002. [PMID: 39241606 DOI: 10.1016/j.ecoenv.2024.117002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Revised: 08/31/2024] [Accepted: 09/01/2024] [Indexed: 09/09/2024]
Abstract
Club cell secretory protein (CC16) is considered a biological marker indicating lung epithelial and lung permeability. The joint effect of polycyclic aromatic hydrocarbons (PAHs) exposure on CC16 levels and the association between CC16 levels and long-term lung function changes lacks epidemiological evidence. To investigate the effect of PAHs exposure on plasma CC16 levels and the association between CC16 levels and long-term lung function changes, this study enrolled 307 coke oven workers in 2014, measured their baseline concentrations of urinary PAHs metabolites and plasma CC16, with follow-up after nine years. Bayesian kernel machine regression (BKMR) was employed to analyze the effect of mixed PAHs metabolites. The dose-effect association between baseline CC16 levels and lung function during 2014-2023 was explored using restricted cubic spline (RCS) models, and stratified analysis investigated the effect modification of PAHs exposure and smoking status on this association. The median age of the participants was 40 years, with 93.81 % male. The results showed that plasma CC16 levels decreased by 2.02 ng/mL (95 % CI: -3.77, -0.27) among all participants and FVC (% predicted) decreased by 2.87 % (95 % CI: -5.59, -0.14) in the low CC16 group with each unit increase in log-transformed 2-OHNAP. The BKMR model revealed a negative association between PAHs metabolites and both plasma CC16 levels and FVC (% predicted). Plasma CC16 decreased by 1.05 units when all PAHs metabolites at P65 compared to those at P50. After 9 years of follow-up, baseline CC16 levels were significantly associated with follow-up FVC (% predicted), FEV1 (% predicted), and small airway dysfunction risk. Furthermore, high PAHs exposure and smoking enhanced the association between CC16 and lung function. In conclusion, PAHs exposure decreases CC16 levels, and coking workers with low baseline CC16 levels may experience more severe future lung function decline.
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Affiliation(s)
- Jiajun Wei
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Yong Wang
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Hongyue Kong
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Jinyu Wu
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Liuquan Jiang
- Xishan Coal Electricity Corporation Occupational Disease Prevention and Control Institute, Taiyuan City, Shanxi Province 030053, China
| | - Baolong Pan
- Sixth Hospital of Shanxi Medical University (General Hospital of Tisco), Taiyuan City, Shanxi Province 030001, China
| | - Shugang Guo
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan City, Shanxi Province 030001, China
| | - Fan Yang
- Xishan Coal Electricity Corporation Occupational Disease Prevention and Control Institute, Taiyuan City, Shanxi Province 030053, China
| | - Gaisheng Liu
- Xishan Coal Electricity Corporation Occupational Disease Prevention and Control Institute, Taiyuan City, Shanxi Province 030053, China
| | - Fengyu Qiu
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Jingxuan Guo
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Yu Zhang
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Jisheng Nie
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China
| | - Jin Yang
- MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, NHC Key Laboratory of Pneumoconiosis, Department of Occupational Health, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Xinjiannan Road 56, Taiyuan City, Shanxi Province 030001, China.
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Taibl KR, Dunlop AL, Smith MR, Walker DI, Ryan PB, Panuwet P, Corwin EJ, Kannan K, Jones DP, Marsit CJ, Tan Y, Liang D, Eick SM, Barr DB. Association of per- and polyfluoroalkyl substances with the antioxidant bilirubin across pregnancy. Free Radic Biol Med 2024; 223:184-192. [PMID: 39097204 DOI: 10.1016/j.freeradbiomed.2024.07.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 07/24/2024] [Accepted: 07/30/2024] [Indexed: 08/05/2024]
Abstract
BACKGROUND In mechanistic and preliminary human studies, prenatal exposure to per- and polyfluoroalkyl substances (PFAS) is associated with oxidative stress, a potential contributor to maternal liver disease. Bilirubin is an endogenous antioxidant abundant in the liver that may serve as a physiological modulator of oxidative stress in pregnant people. Hence, our objective was to estimate the association between repeated measures of PFAS and bilirubin during pregnancy. METHODS The study population included 332 participants in the Atlanta African American Maternal-Child Cohort between 2014 and 2020. Serum samples were collected up to two times (early pregnancy: 6-18 gestational weeks; late pregnancy: 21-36 gestational weeks) for the measurement of perfluorohexane sulfonate (PFHxS), perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), and total bilirubin. We analyzed single PFAS with linear mixed effect regression and a mixture of the four PFAS with quantile g-computation. Models were repeated with a multiplicative interaction term to explore effect modification by study visit. RESULTS Overall, PFHxS was positively associated with bilirubin (β = 0.08, 95 % CI = 0.01, 0.15). We also found during late pregnancy, there was a positive association of PFHxS and the PFAS mixture with bilirubin (β = 0.12, 95 % CI = 0.02, 0.22; ψ = 0.19, 95 % CI = 0.03, 0.34, respectively). Finally, study visit modified the PFOA-bilirubin association (interaction p-value = 0.09), which was greater during early pregnancy (β = 0.08, 95 % CI = 0.01, 0.15). CONCLUSION In a prospective cohort of pregnant African Americans, an increase in PFOA, PFHxS, and the PFAS mixture was associated with an increase in bilirubin. Our results suggest that, depending on pregnancy stage, prenatal PFAS exposure disrupts the maternal liver antioxidant capacity.
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Affiliation(s)
- Kaitlin R Taibl
- 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
| | - M Ryan Smith
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Atlanta VA Healthcare System, Decatur, GA, USA
| | - Douglas I Walker
- 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
| | - Parinya Panuwet
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Elizabeth J Corwin
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Kurunthachalam Kannan
- Wadsworth Center, New York State Department of Health, Albany, NY, USA; Department of Environmental Health Sciences, State University of New York at Albany, NY, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Carmen J Marsit
- 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
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stephanie M Eick
- 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.
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Chen Y, Li Y, Gu W, Liu S, Wang Y, Jiao B, Wang M, Long Y, Miao K, Niu Y, Duan H, Tang S, Zheng Y, Dai Y. The key metabolic signatures and biomarkers of polycyclic aromatic hydrocarbon-induced blood glucose elevation in chinese individuals exposed to diesel engine exhaust. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116997. [PMID: 39260215 DOI: 10.1016/j.ecoenv.2024.116997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 08/19/2024] [Accepted: 09/01/2024] [Indexed: 09/13/2024]
Abstract
Due to the complexity of environmental exposure factors and the low levels of exposure in the general population, identifying the key environmental factors associated with diabetes and understanding their potential mechanisms present significant challenges. This study aimed to identify key polycyclic aromatic hydrocarbons (PAHs) contributing to increased fasting blood glucose (FBG) concentrations and to explore their potential metabolic mechanisms. We recruited a highly PAH-exposed diesel engine exhaust testing population and healthy controls. Our findings found a positive association between FBG concentrations and PAH metabolites, identifying 1-OHNa, 2-OHPh, and 9-OHPh as major contributors to the rise in FBG concentrations induced by PAH mixtures. Specifically, each 10 % increase in 1-OHNa, 2-OHPh, and 9-OHPh concentrations led to increases in FBG concentrations of 0.201 %, 0.261 %, and 0.268 %, respectively. Targeted metabolomics analysis revealed significant alterations in metabolic pathways among those exposed to high levels of PAHs, including sirtuin signaling, asparagine metabolism, and proline metabolism pathway. Toxic function analysis highlighted differential metabolites involved in various dysglycemia-related conditions, such as cardiac arrhythmia and renal damage. Mediation analysis revealed that 2-aminooctanoic acid mediated the FBG elevation induced by 2-OHPh, while 2-hydroxyphenylacetic acid and hypoxanthine acted as partial suppressors. Notably, 2-aminooctanoic acid was identified as a crucial intermediary metabolic biomarker, mediating significant portions of the associations between the multiple different structures of OH-PAHs and elevated FBG concentrations, accounting for 16.73 %, 10.84 %, 10.00 %, and 11.90 % of these effects for 1-OHPyr, 2-OHFlu, the sum concentrations of 2- and 9-OHPh, and the sum concentrations of total OH-PAHs, respectively. Overall, our study explored the potential metabolic mechanisms underlying the elevated FBG induced by PAHs and identified 2-aminooctanoic acid as a pivotal metabolic biomarker, presenting a potential target for intervention.
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Affiliation(s)
- Yuanyuan Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yanting Li
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao, Shandong 266021, China
| | - Wen Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Shuai Liu
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yican Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Bo Jiao
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Mengmeng Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yuehan Long
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ke Miao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yong Niu
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Huawei Duan
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yuxin Zheng
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao, Shandong 266021, China
| | - Yufei Dai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
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Liao G, Weng X, Wang F, Yu YHK, Arrandale VH, Chan AHS, Lu S, Tse LA. Urinary metals and their associations with DNA oxidative damage among e-waste recycling workers in Hong Kong. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116872. [PMID: 39146595 DOI: 10.1016/j.ecoenv.2024.116872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 07/30/2024] [Accepted: 08/09/2024] [Indexed: 08/17/2024]
Abstract
Recycling electronic waste (e-waste) poses risks of metal exposure, potentially leading to health impairments. However, no previous study has focused on this issue in Hong Kong. Therefore, from June 2021 to September 2022, this study collected urine samples from 101 e-waste workers and 100 office workers in Hong Kong to compare their urinary levels of metals using ICP-MS. Among the 15 included metals (with detection rates above the 70 % threshold), eight showed significantly higher urinary concentrations (unit: μg/g creatinine) in e-waste workers compared to office workers: Li (25.09 vs. 33.36), Mn (1.78 vs. 4.15), Ni (2.10 vs. 2.77), Cu (5.81 vs. 9.23), Zn (404.35 vs. 431.52), Sr (151.33 vs. 186.26), Tl (0.35 vs. 0.43), and Pb (0.69 vs. 1.16). E-waste workers in Hong Kong generally exhibited lower metal levels than those in developing regions but higher than their counterparts in developed areas. The urine level of 8-hydroxy-2-deoxyguanosine (8-OHdG) was determined by HPLC-MS/MS, and no significant difference was found between the two groups. Multiple linear regression models revealed no significant association between individual metal and urinary 8-OHdG concentrations. However, the metal mixture was identified to marginally elevate the 8-OHdG concentrations (1.12, 95 %CI: 0.04, 2.19) by quantile g‑computation models, with Mn and Cd playing significant roles in such effect. In conclusion, while the metal levels among Hong Kong e-waste workers compared favorably with their counterparts in other regions, their levels were higher than those of local office workers. This underscores the need for policymakers to prioritize attention to this unique industry.
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Affiliation(s)
- Gengze Liao
- JC 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
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Feng Wang
- JC 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
- JC 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.
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23
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Hu Z, Wu N, An S, Deng M, Tao L, Liao D, Yu R, Yang J, Xiao Y, Zheng X, Zeng R, Liu Y, Xiong S, Xie Y, Liu X, Shen X, Shang X, Li Q, Zhou Y. Effect of combined exposure to phthalates and polycyclic aromatic hydrocarbons during early pregnancy on gestational age and neonatal size: A prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116868. [PMID: 39146592 DOI: 10.1016/j.ecoenv.2024.116868] [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: 08/07/2024] [Accepted: 08/09/2024] [Indexed: 08/17/2024]
Abstract
Many studies have indicated that individual exposure to phthalates (PAEs) or polycyclic aromatic hydrocarbons (PAHs) affects pregnancy outcomes. However, combined exposure to PAEs and PAHs presents a more realistic situation, and research on the combined effects of PAEs and PAHs on gestational age and newborn size is still limited. This study aimed to assess the effects of combined exposure to PAEs and PAHs on neonatal gestational age and birth size. Levels of 9 PAE and 10 PAH metabolites were measured from the urine samples of 1030 women during early pregnancy from the Zunyi Birth Cohort in China. Various statistical models, including linear regression, restricted cubic spline, Bayesian kernel machine regression, and quantile g-computation, were used to study the individual effects, dose-response relationships, and combined effects, respectively. The results of this prospective study revealed that each ten-fold increase in the concentration of monoethyl phthalate (MEP), 2-hydroxynaphthalene (2-OHNap), 2-hydroxyphenanthrene (2-OHPhe), and 1-hydroxypyrene (1-OHPyr) decreased gestational age by 1.033 days (95 % CI: -1.748, -0.319), 0.647 days (95 % CI: -1.076, -0.219), 0.845 days (95 % CI: -1.430, -0.260), and 0.888 days (95 % CI: -1.398, -0.378), respectively. Moreover, when the concentrations of MEP, 2-OHNap, 2-OHPhe, and 1-OHPyr exceeded 0.528, 0.039, 0.012, and 0.002 µg/g Cr, respectively, gestational age decreased in a dose-response manner. Upon analyzing the selected PAE and PAH metabolites as a mixture, we found that they were significantly negatively associated with gestational age, birth weight, and the ponderal index, with 1-OHPyr being the most important contributor. These findings highlight the adverse effects of single and combined exposure to PAEs and PAHs on gestational age. Therefore, future longitudinal cohort studies with larger sample sizes should be conducted across different geographic regions and ethnic groups to confirm the impact of combined exposure to PAEs and PAHs on birth outcomes.
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Affiliation(s)
- Zhongmei Hu
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China; Department of Reproductive Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Nian Wu
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Songlin An
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Mingyu Deng
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Lin Tao
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Dengqing Liao
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Rui Yu
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Jing Yang
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Yanling Xiao
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Xingting Zheng
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Rong Zeng
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563000, China
| | - Yijun Liu
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563000, China
| | - Shimin Xiong
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563000, China
| | - Yan Xie
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563000, China
| | - Xingyan Liu
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563000, China
| | - Xubo Shen
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563000, China
| | - Xuejun Shang
- Department of Andrology, School of Medicine, Jinling Hospital, Nanjing University, Nanjing 210002, China
| | - Quan Li
- Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China.
| | - Yuanzhong Zhou
- School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou 563000, China.
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24
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Rosato I, Batzella E, Pitter G, Russo F, Da Re F, Fletcher T, Canova C. Association of perfluoroalkyl substances (PFAS) with liver function biomarkers in the highly exposed population of the Veneto Region. ENVIRONMENTAL RESEARCH 2024; 263:120082. [PMID: 39357637 DOI: 10.1016/j.envres.2024.120082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 09/26/2024] [Accepted: 09/27/2024] [Indexed: 10/04/2024]
Abstract
INTRODUCTION Epidemiological studies highlight the presence of associations between per- and polyfluoroalkyl substances (PFAS) exposure with liver damage. In 2013, PFAS contamination was discovered in Veneto (Italy), leading to the implementation of a Surveillance Program (SP). Our objective is to investigate the association between PFAS exposure and biomarkers of liver function using single-pollutant and mixture approaches, while exploring the sex-specific differences and the mediating role of obesity in the association. METHODS The study included 42,094 subjects aged ≥20 years participating in the SP. We used generalized additive models to investigate the association between several PFAS and alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels, adjusting for possible confounders and stratifying by sex. Results were back-transformed to show predicted percentage changes in outcomes per ln-unit increase in PFAS levels; furthermore, we explored the role of BMI in the abovementioned causal pathway, considering it as a potential confounder or mediator PFAS joint effect was investigated using Quantile G-computation. RESULTS One ln-unit increase in PFHxS concentrations was associated with a 1.49% (95%CI: 0.87, 2.12) and a 0.84% (95% CI: 0.27, 1.40) increase in ALT levels, in males and females respectively; one ln-unit increase in PFOA concentrations was associated with a 1.03% (95%CI: 0.50, 1.55) increase in ALT levels in males, and a 0.52% (95% CI: 0.22, 0.82) and a 0.60% (95% CI: 0.25, 0.96) increase in AST levels in females and males. PFOS showed no association with ALT and AST levels. Quantile G-computation revealed that an interquartile increase in the PFAS mixture was associated with a 3.02% increase (95% CI: 1.65, 4.43) and a 1.65% (95% CI: 0.77, 2.5) increase in ALT levels, in females and males. Mediation analysis suggested that BMI suppressed the association between PFAS and ALT levels, with positive direct effects higher than the total effects. CONCLUSION Our findings suggest sex-specific associations between PFAS exposure and liver function biomarkers and underscore the need for additional studies on potential mediators.
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Affiliation(s)
- Isabella Rosato
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Erich Batzella
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Gisella Pitter
- Screening and Health Impact Assessment Unit, Azienda Zero-Veneto Region, Padova, Italy
| | - Francesca Russo
- Directorate of Prevention, Food Safety, and Veterinary Public Health-Veneto Region, Venice, Italy
| | - Filippo Da Re
- Directorate of Prevention, Food Safety, and Veterinary Public Health-Veneto Region, Venice, Italy
| | - Tony Fletcher
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Cristina Canova
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Padova, Italy.
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25
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Zhang Y, Tian Z, Cheng X, Fang B, Liu Q, Li J, Wang Y, Wang H, Guo X, Chen G, Li H, Sun L, Hu B, Zhang D, Liang C, Sheng J, Tao F, Wang J, Yang L. The Association Between the Non-essential Metal Mixture and Handgrip Strength in Chinese Community-Dwelling Older Adults. Biol Trace Elem Res 2024:10.1007/s12011-024-04389-w. [PMID: 39322923 DOI: 10.1007/s12011-024-04389-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 09/17/2024] [Indexed: 09/27/2024]
Abstract
There is limited research on the effects of non-essential metal (NEM) mixture on handgrip strength in the elderly. This study aimed to assess the associations of single NEMs and their mixture with handgrip strength in Chinese community-dwelling older adults. A total of 3807 elderly people aged 60 years or above were included in this study. Measurement of urinary aluminum (Al), arsenic (As), barium (Ba), cadmium (Cd), and gallium (Ga) concentrations was conducted by inductively coupled plasma mass spectrometry (ICP-MS). Handgrip strength was measured using a hand dynamometer. Four statistical models, including general linear regression and generalized additive models (GAMs), as well as Bayesian kernel machine regression (BKMR) and quantile-based computation regression (QGC) models, were used to assess the individual and joint effects of urine NEMs with handgrip strength, respectively. After adjusting for covariates, Ga (ß = - 0.27; 95% CI, - 0.54 ~ - 0.01) and As ( β = - 0.34; 95% CI, - 0.61 ~ - 0.07) were negatively associated with handgrip strength. The GAMs and BKMR further suggested that the negative associations of Ga and As with handgrip strength were linear and inverted U-shaped, respectively. The BKMR and QGC models showed that the NEM mixture was negatively related to handgrip strength, with Ga and As contributing the most within the mixture. Moreover, we also observed an interaction between As and Ga on handgrip strength. Longitudinal studies are needed to verify these findings.
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Affiliation(s)
- Yan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Ziwei Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Xuqiu Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Bohao Fang
- Department of Clinical Medicine, School of the Second Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Qiang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Junzhe Li
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Yuan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Hongli Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Guimei Chen
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Huaibiao Li
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Liang Sun
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Bing Hu
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Dongmei Zhang
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Chunmei Liang
- Department of Hygiene Inspection and Quarantine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jie Sheng
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Jun Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Linsheng Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
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26
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Guo Z, Liu P, Li T, Gao E, Bian J, Ren X, Xu B, Chen X, Huang H, Liu J, Yang X, Lu S. Associations of urinary nicotine metabolites and essential metals with metabolic syndrome in older adults: The mediation effect of insulin resistance. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135969. [PMID: 39342858 DOI: 10.1016/j.jhazmat.2024.135969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 08/30/2024] [Accepted: 09/25/2024] [Indexed: 10/01/2024]
Abstract
Exposure to tobacco smoke and essential metals is linked with metabolic syndrome (MS). However, the joint effect of them on MS in older adults and the underlying mechanisms are still unclear. This large-scale study measured the urinary concentrations of 8 nicotine metabolites and 8 essential metals in 4564 older adults from Shenzhen, China. The biomarker of insulin resistance, triglyceride-glucose index (TyG), was also calculated. Restricted cubic splines (RCS), Bayesian kernel machine regression and quantile-based g-computation were used to access the single and joint effects of urinary nicotine metabolites and essential metals on MS and insulin resistance. Mediation analysis was performed to investigate the role of TyG in these relationships. Single urinary nicotine metabolite and essential metal had non-linear relationships with MS in RCS. The overall effect of urinary nicotine metabolites and essential metals was positively associated with MS. Urinary zinc (52.2 %) and copper (20.1 %) were the major contributors to MS, whereas molybdenum had a negative association with MS. TyG mediated 64.7 % of the overall effect of urinary nicotine metabolites and essential metals on MS. Overall, the mixture of urinary nicotine metabolites and essential metals had a dose-response relationship with MS. Insulin resistance was as a crucial mediated pathway in this association.
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Affiliation(s)
- Zhihui Guo
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China; School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Peiyi Liu
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Tian Li
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, 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 430074, China; Beijing Daxing District Center for Disease Control and Prevention, Beijng 102699, China
| | - Erwei Gao
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, 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 430074, China
| | - Junye Bian
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Xiaohu Ren
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Benhong Xu
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Xiao Chen
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Haiyan Huang
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Jianjun Liu
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Xifei Yang
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
| | - Shaoyou Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China.
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27
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Wang Z, Zhang B, Zhang J, Xu S, Dai Y, Ding J, Guo J, Qi X, Chang X, Wu C, Zhou Z. Prenatal exposure to per- and polyfluoroalkyl substances and sex-specific associations with offspring adiposity at 10 years of age: Metabolic perturbation plays a role. ENVIRONMENT INTERNATIONAL 2024; 192:109037. [PMID: 39353210 DOI: 10.1016/j.envint.2024.109037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 09/10/2024] [Accepted: 09/24/2024] [Indexed: 10/04/2024]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) have been suspected as potential environmental obesogens, with several mechanisms being proposed, including the role of metabolomics. However, current epidemiological studies have yielded inconclusive findings. OBJECTIVES We aimed to estimate the associations of prenatal exposure to PFAS with offspring adiposity measures, and to explore the potential metabolic pathways underlying these associations. METHODS A total of 464 mother-child pairs from the Sheyang Mini Birth Cohort Study (SMBCS) were included in this study. Cord serum concentrations of 12 PFAS and urine metabolite profiles at age 10 were obtained from the SMBCS database. Adiposity-related anthropometric measurements and body composition estimates of children aged 10 were used to assess offspring obesity. Multiple linear regression models and quantile g-computation were conducted to estimate the associations of prenatal exposure to individual and multiple PFAS with obesity at 10 years old. Metabolomics analysis was performed to characterize the biological pathways associated with PFAS exposure or obesity, subsequently identifying the overlapping metabolic pathways underlying the PFAS-obesity relationship. RESULTS Prenatal exposure to several PFAS was significantly associated with elevated obesity-related markers in 10-year-old children. After stratification by sex, the effects were more pronounced in girls. Quantile g-computation results indicated that exposure to higher levels of PFAS mixtures during pregnancy was associated with increased odds of obesity in girls, with PFNA emerging as the predominant driving compound. Untargeted metabolomics results showed that several amino acid metabolic pathways were characterized as the overlapping pathways underlying the above associations. CONCLUSIONS Taken together, our findings suggested the potential obesogenic effects of prenatal exposure to PFAS and offered insight into the possible metabolic mechanisms underlying PFAS-related offspring obesity.
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Affiliation(s)
- Zheng Wang
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Boya Zhang
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Jiming Zhang
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
| | - Sinan Xu
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Yiming Dai
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Jiayun Ding
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Jianqiu Guo
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Xiaojuan Qi
- Zhejiang Provincial Center for Disease Control and Prevention, No. 3399 Binsheng Road, Hangzhou 310051, China
| | - Xiuli Chang
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Chunhua Wu
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China
| | - Zhijun Zhou
- School of Public Health/MOE Key Laboratory of Public Health Safety, Fudan University, No. 130 Dong'an Road, Shanghai 200032, China.
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Li S, Zhu H, Yang C, Wang C, Liu J, Jin L, Li Z, Ren A, Wang L. Prenatal co-exposure to phthalate metabolites and bisphenols among non-syndromic cleft lip and/or palate in offspring. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 362:125001. [PMID: 39322108 DOI: 10.1016/j.envpol.2024.125001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 09/16/2024] [Accepted: 09/19/2024] [Indexed: 09/27/2024]
Abstract
Phthalate metabolites and bisphenols can cause adverse pregnancy outcomes. However, there is no study to evaluate the associations of prenatal exposure to phthalate metabolites and bisphenols with non-syndromic cleft lip and/or palate (NSCL/P) risk in offspring. A population-based case-control study was conducted in a multicenter setting from 2005 to 2021, enrolling 448 pregnant women. Seven phthalate metabolites and six bisphenols were quantified in placenta using liquid chromatography-tandem mass spectrometry. In the logistic regression analysis, high levels of mono-ethyl phthalate, mono-cyclohexyl phthalate, mono-octyl phthalate, bisphenol A, bisphenol AF, bisphenol AP, and fluorene-9-bisphenol were associated with increased NSCL/P risk with odds ratios (95% confidence intervals) of 1.86(1.07,3.25), 6.56(3.47,12.39), 8.49(4.44,16.24), 8.34(4.32,16.08), 3.19(1.81,5.62), 2.78(1.59,4.86), and 5.16(2.82,9.44). The Bayesian kernel machine regression model revealed that co-exposure to phthalate metabolites and bisphenols was associated with increased NSCL/P risk. Similarly, quantile-based g-computation analysis indicated that each quantile increase in mixture concentration was positively related to higher risk for NSCL/P [odds ratio (95% confidence interval) = 2.98(1.97,4.51)]. This study provides novel evidence that prenatal single and co-exposure to phthalate metabolites and bisphenols were associated with increased NSCL/P risk, suggesting that exposure to phthalate metabolites and bisphenols during pregnancy should be minimized to reduce the incidence of NSCL/P in offspring.
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Affiliation(s)
- Sainan Li
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Haiyan Zhu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Chen Yang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Chengrong Wang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Jufen Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Lei Jin
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Zhiwen Li
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Aiguo Ren
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Linlin Wang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
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29
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Cheng X, Zhang S, An J, Jia C, Zhang X, Li P, Guan Y, Yan Y, Zhao Z, Liu Y, Jing T, Huang S, He M. Association between phthalates exposure and all-cause mortality among diabetic cases: A prospective study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 362:125008. [PMID: 39307341 DOI: 10.1016/j.envpol.2024.125008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 08/14/2024] [Accepted: 09/20/2024] [Indexed: 10/01/2024]
Abstract
The aim of this study was to explore the association between phthalates (PAEs) exposure and all-cause mortality among diabetic cases, and potential molecular mechanisms of the effect. We followed 2806 diabetes cases from 2008 to the end of 2018 based on the Dongfeng-Tongji study, of which 446 cases died. We measured serum levels of six PAEs (DMP, DEP, DiBP, DnBP, BBP, and DEHP). Cox models were used to investigate the associations between PAEs and all-cause mortality. Genes related to PAEs are obtained from the Comparative Toxicogenomics Database. We constructed polygenic scores for sex hormone-binding globulin (SHBG) and testosterone, and functional SNPs for IL-6, PPARG, and GPX1 from genotyping data, and further analyzed the environment-gene interactions. The positive associations of PAEs (DMP, DiBP, DnBP, DEHP) with mortality were only observed in males but not in females. Comparing with the extreme quartile 1, the HRs (95% CI) for quartile 4 were 1.63 (0.17, 2.26) for DMP, 1.82 (1.29, 2.56) for DiBP, 1.68 (1.18, 2.40) for DnBP, 1.66 (1.17, 2.36) for DEHP. Enrichment analysis showed that PAEs-related genes were mainly associated with hormones and IL-6-related pathways. Genetic variants of SHBG, testosterone, and IL-6 modified the association between PAEs mixture and all-cause mortality. PAEs exposure are associated with all-cause mortality among diabetic cases, and PAE exposure increases the risk of all-cause mortality only in males. Effects on the hormonal system and IL6-related pathways may be potential mechanisms.
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Affiliation(s)
- Xu Cheng
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shiyang Zhang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jun An
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chengyong Jia
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xin Zhang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Peiwen Li
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Youbing Guan
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yan Yan
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhuoya Zhao
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuenan Liu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tao Jing
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Suli Huang
- School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Luo F, Bi J, Liu Q, Fan G, Fang Q, Qin X, Zhang X, Huang X, Li H, Guo W, Liu B, Yan L, Mei S, Wang Y, Song L. Association of exposure to multiple metals with hemoglobin levels in Chinese children and adolescents. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 944:173954. [PMID: 38876334 DOI: 10.1016/j.scitotenv.2024.173954] [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: 02/15/2024] [Revised: 04/06/2024] [Accepted: 06/10/2024] [Indexed: 06/16/2024]
Abstract
BACKGROUND Previous studies have linked single metal to hemoglobin levels in children and adolescents; however, studies with regards to metal mixtures are still limited. OBJECTIVE We aimed to investigate the associations of single metal and metal mixtures with hemoglobin levels in children and adolescents. METHODS We conducted a cross-sectional study of 2064 children and adolescents aged 6 to 19 years in Liuzhou, China in 2018. The concentrations of 15 metals in urine were determined by inductively coupled plasma mass spectrometry. Generalized linear regression and weighted quantile sum (WQS) regression were used to estimate the associations of single metal and metal mixtures with hemoglobin levels, respectively. RESULTS The multivariable-adjusted β-values for the highest versus the first quartiles of urinary metal concentrations were - 1.57 (95 % confidence interval [CI]: -3.01, -0.13) for chromium, -2.47 (95 % CI: -3.90, -1.05) for nickel and 1.88 (95 % CI: 0.49, 3.28) for copper. In addition, we found a significant negative association between the WQS index and hemoglobin levels (adjusted β = -0.93, 95 % CI: -1.69, -0.19), with nickel contributing the most to the WQS index at 59.0 %. Subgroup analyses showed that exposure to urinary nickel or metal mixtures were associated with decreased hemoglobin levels in adolescents, but not in children (all Pinteration < 0.001). CONCLUSION Among children and adolescents, urinary chromium and nickel concentrations were associated with decreased hemoglobin levels, while copper showed a positive relationship. Moreover, a negative association was observed between exposure to metal mixtures and hemoglobin levels. These findings need to be further validated in prospective studies.
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Affiliation(s)
- Fei Luo
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Qing Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Gaojie Fan
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Qing Fang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiya Qin
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xukuan Zhang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiaofeng Huang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Heng Li
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Wenwen Guo
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Binghai Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Lianyan Yan
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Surong Mei
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
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Fowler CH, Reuben A, Stapleton HM, Hoffman K, Herkert N, Barakat L, Gaffrey MS. Children's exposure to chemical contaminants: Demographic disparities and associations with the developing basal ganglia. ENVIRONMENTAL RESEARCH 2024; 263:119990. [PMID: 39304016 DOI: 10.1016/j.envres.2024.119990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 08/17/2024] [Accepted: 09/11/2024] [Indexed: 09/22/2024]
Abstract
Children are regularly exposed to chemical contaminants that may influence brain development. However, relatively little is known about how these contaminants impact the developing human brain. Here, we combined silicone wristband exposure assessments with neuroimaging for the first time to examine how chemical contaminant mixtures are associated with the developing basal ganglia-a brain region key for the healthy development of emotion, reward, and motor processing, and which may be particularly susceptible to contaminant harm. Further, we examined demographic disparities in exposures to clarify which children were at highest risk for any contaminant-associated neurobiological changes. Participants included 62 community children (average age 7.00 years, 53% female, 66% White) who underwent structural neuroimaging to provide data on their basal ganglia structure and wore a silicone wristband for seven days to track their chemical contaminant exposure. 45 chemical contaminants-including phthalates and their alternatives, brominated flame retardants, organophosphate esters, pesticides, polycyclic aromatic hydrocarbons, and polychlorinated biphenyls-were detected in over 75% of wristbands. Notable demographic disparities in exposure were present, such that Non-White and lower-income children were more exposed to several contaminants. Exposure to chemical contaminant mixtures was not associated with overall basal ganglia volume; however, two organophosphate esters (2IPPDPP and 4IPPDPP) were both associated with a larger globus pallidus, a basal ganglia sub-region. Results highlight demographic disparities in exposure and suggest possible risks to a brain region key for healthy emotional development.
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Affiliation(s)
| | | | | | | | | | - Lubna Barakat
- University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA
| | - Michael S Gaffrey
- Duke University, Durham, NC, 27708, USA; Children's Wisconsin, Milwaukee, WI, 53226, USA
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Liu Q, Pan L, He H, Hu Y, Tu J, Zhang L, Sun Z, Cui Z, Han X, Huang H, Lin B, Fan Y, Ji Y, Shan G. Effects of long-term exposure to air pollutant mixture on blood pressure in typical areas of North China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 285:116987. [PMID: 39299210 DOI: 10.1016/j.ecoenv.2024.116987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 08/22/2024] [Accepted: 08/30/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Studies about the combined effects of gaseous air pollutants and particulate matters are still rare. OBJECTIVES This study was performed based on baseline survey of the Diverse Life-Course Cohort in the Beijing-Tianjin-Hebei (BTH) Region of North China to evaluate the association of long-term air pollutants with blood pressure and the combined effect of the air pollutants mixture among 32821 natural han population aged 20 years or above. METHODS Three-year average exposure to air pollutants (PM10, PM2.5, PM1, O3, SO2, NO2, and CO) and PM2.5 components [black carbon (BC), ammonium (NH4+), nitrate (NO3-), sulfate (SO42-), and organic matter (OM)] of residential areas were calculated based on well-validated models. Generalized linear mixed models (GLMMs) were used to estimate the associations of air pollutants exposure with the systolic blood pressure (SBP), diastolic blood pressure (DBP), Mean arterial pressure (MAP), pulse pressure (PP) and prevalent hypertension. Quantile g-Computation and Bayesian Kernel Machine Regression (BKMR) were employed to assess the combined effect of the air pollutant mixture. RESULTS We found that long-term exposures of O3, PM2.5, and PM2.5 components were stably and strongly associated with elevated SBP, DBP, and MAP and prevalent hypertension. O3 increased SBP, DBP, and MAP at a similar extent, but with greater effects; while, PM2.5 and PM2.5 components had a greater impact on SBP than DBP, which increased PP simultaneously. In multi-pollutant models, the combined effects of the air pollutant mixture on blood pressure and prevalent hypertension was predominantly influenced by O3, PM2.5, and O3, OM in different models, respectively. For example, O3, PM2.5 contributed 57.25 %, 39.22 % of the positive combined effect of the air pollutant mixture on SBP; and O3, OM positively contributed 70.00 %, 30.00 % on prevalent hypertension, respectively. There were interactions between O3, CO, SO2 and PM2.5 components on hbp, SBP and PP. CONCLUSIONS The results showed positive associations of air pollutant mixtures with blood pressure, where O3 and PM2.5 (especially OM) might be primary contributors. There were interactions between gaseous air pollutants and PM2.5 components on blood pressure and prevalent hypertension.
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Affiliation(s)
- Qihang Liu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Li Pan
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Huijing He
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yaoda Hu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ji Tu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Ze Cui
- Hebei Provicel Center for diseases prevention and control, Shijiazhuang, Hebei, China
| | - Xiaoyan Han
- Chaoyang District Center for Disease Control and Prevention, Beijing, China
| | - Haibo Huang
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Binbin Lin
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yajiao Fan
- Department of Preventive Medicine, School of Public Health, Hebei University, Baoding, Hebei, China
| | - Yanxin Ji
- Baoding Center for Disease Control and Prevention, Hebei, China
| | - Guangliang Shan
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China.
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Ren J, Sun X, Zhang Z, Pei H, Zhang Y, Wen R, Qiao S, Wang Z, Zhang W, Zuo J, Ma Y. Exposure to volatile organic compounds and growth indicators in adolescents: Unveiling the association and potential intervention strategies. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135422. [PMID: 39106727 DOI: 10.1016/j.jhazmat.2024.135422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/31/2024] [Accepted: 08/01/2024] [Indexed: 08/09/2024]
Abstract
Environmental pollutant is considered to be one of the important factors affecting adolescent growth. However, the effects of volatile organic compounds (VOCs) exposure on adolescent growth have not been assessed. Data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 was used to examine the associations between VOCs exposure and adolescent growth indicators through three statistical models. The mediating effect of bone mineral density (BMD) on these associations was examined. The potential pathways and key targets were identified by the network pharmacology analysis methods. This study included 746 adolescents. Three statistical methods consistently showed a negative correlation between VOCs exposure and adolescent growth indicators. Furthermore, BMD mediated the relationship between VOCs exposure and adolescent growth indicators, with mediated proportion ranging from 4.3 % to 53.4 %. Network pharmacology analysis found a significant enrichment in IL-17 signaling pathway. Moreover, the adverse effects of VOCs exposure on adolescent growth were observed to significantly attenuate in adolescents with high serum vitamin D levels. Our results suggested that VOCs exposure was an adverse factor affecting adolescent growth, with BMD playing a significant regulatory role, and IL-17 signaling pathway was the underlying mechanism. Vitamin D supplementation may be a viable strategy to prevent VOCs exposure from affecting adolescent growth.
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Affiliation(s)
- Jingyi Ren
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Xiaoya Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Zhenao Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Huanting Pei
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Yadong Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Rui Wen
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Simeng Qiao
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Zidan Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Weican Zhang
- Undergraduate of College of Public Health, Hebei Medical University, Shijiazhuang 050017, China
| | - Jinshi Zuo
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Yuxia Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China.
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Huang RG, Li KD, Wu H, Wang YY, Xu Y, Jin X, Du YJ, Wang YY, Wang J, Lu ZW, Li BZ. The correlation between single and mixed trace elements exposure in systemic lupus erythematosus: A case-control study. J Trace Elem Med Biol 2024; 86:127524. [PMID: 39293108 DOI: 10.1016/j.jtemb.2024.127524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 08/11/2024] [Accepted: 09/04/2024] [Indexed: 09/20/2024]
Abstract
BACKGROUND Recent studies have shown an association between trace elements and systemic lupus erythematosus (SLE), but the relationship between trace elements and SLE is still unclear. This study aims to determine the distribution of plasma trace elements in newly diagnosed SLE patients and the association between these essential and toxic element mixtures and SLE. METHODS In total, 110 SLE patients and 110 healthy controls were included. Blood samples were collected. 15 plasma trace elements were quantified using an inductively coupled plasma mass spectrometer (ICP-MS). Multivariate logistic regression, restricted cubic spline (RCS), weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) are used to analyze the association between single and mixed exposure of elements and SLE. RESULTS The logistic regression model shows that, plasma lithium (Li) [OR (95 % CI): 1.963 (1.49-2.586)], vanadium (V) [OR (95 % CI): 2.617(1.645-4.166)] and lead (Pb) [OR (95 % CI): 1.603(1.197-2.145)] were positively correlated with SLE, while selenium (Se) [OR (95 % CI): 0.055(0.019-0.157)] and barium (Ba) [OR (95 % CI): 0.792(0.656-0.957)] had been identified as protective factors for SLE. RCS results showed a non-linear correlation between the elements Li, V, Ni, copper, Se, rubidium and SLE. In addition, WQS regression, qgcomp, and BKMR models consistently revealed significant positive effects of plasma Li and Pb on SLE, as well as significant negative effects of plasma Se. CONCLUSIONS Exposure to heavy metals such as Li and Pb is significantly positively correlated with SLE, but Se may be protective factors for SLE. In addition, there is a nonlinear correlation between the elements Li and Se and SLE, and there are complex interactions between the elements. In the future, larger populations and prospective studies are needed to confirm these associations.
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Affiliation(s)
- Rong-Gui Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Kai-Di Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yi-Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Ya Xu
- School of Clinical Medicine, Anhui Medical University, Hefei, Anhui, China
| | - Xue Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yu-Jie Du
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yi-Yuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Zhang-Wei Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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Zhou H, Hong F, Wang L, Tang X, Guo B, Luo Y, Yu H, Mao D, Liu T, Feng Y, Baima Y, Zhang J, Zhao X. Air pollution and risk of 32 health conditions: outcome-wide analyses in a population-based prospective cohort in Southwest China. BMC Med 2024; 22:370. [PMID: 39256817 PMCID: PMC11389248 DOI: 10.1186/s12916-024-03596-5] [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: 04/11/2024] [Accepted: 08/28/2024] [Indexed: 09/12/2024] Open
Abstract
BACKGROUND Uncertainty remains about the long-term effects of air pollutants (AP) on multiple diseases, especially subtypes of cardiovascular disease (CVD). We aimed to assess the individual and joint associations of fine particulate matter (PM2.5), along with its chemical components, nitrogen dioxide (NO2) and ozone (O3), with risks of 32 health conditions. METHODS A total of 17,566 participants in Sichuan Province, China, were included in 2018 and followed until 2022, with an average follow-up period of 4.2 years. The concentrations of AP were measured using a machine-learning approach. The Cox proportional hazards model and quantile g-computation were applied to assess the associations between AP and CVD. RESULTS Per interquartile range (IQR) increase in PM2.5 mass, NO2, O3, nitrate, ammonium, organic matter (OM), black carbon (BC), chloride, and sulfate were significantly associated with increased risks of various conditions, with hazard ratios (HRs) ranging from 1.06 to 2.48. Exposure to multiple air pollutants was associated with total cardiovascular disease (HR 1.75, 95% confidence intervals (CIs) 1.62-1.89), hypertensive diseases (1.49, 1.38-1.62), cardiac arrests (1.52, 1.30-1.77), arrhythmia (1.76, 1.44-2.15), cerebrovascular diseases (1.86, 1.65-2.10), stroke (1.77, 1.54-2.03), ischemic stroke (1.85, 1.61-2.12), atherosclerosis (1.77, 1.57-1.99), diseases of veins, lymphatic vessels, and lymph nodes (1.32, 1.15-1.51), pneumonia (1.37, 1.16-1.61), inflammatory bowel diseases (1.34, 1.16-1.55), liver diseases (1.59, 1.43-1.77), type 2 diabetes (1.48, 1.26-1.73), lipoprotein metabolism disorders (2.20, 1.96-2.47), purine metabolism disorders (1.61, 1.38-1.88), anemia (1.29, 1.15-1.45), sleep disorders (1.54, 1.33-1.78), renal failure (1.44, 1.21-1.72), kidney stone (1.27, 1.13-1.43), osteoarthritis (2.18, 2.00-2.39), osteoporosis (1.36, 1.14-1.61). OM had max weights for joint effects of AP on many conditions. CONCLUSIONS Long-term exposure to increased levels of multiple air pollutants was associated with risks of multiple health conditions. OM accounted for substantial weight for these increased risks, suggesting it may play an important role in these associations.
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Affiliation(s)
- Hanwen Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Lele Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xuewei Tang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuying Luo
- Health Information Center of Sichuan Province, Chengdu, Sichuan, China
| | - Hui Yu
- Health Information Center of Sichuan Province, Chengdu, Sichuan, China
| | - Deqiang Mao
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Ting Liu
- Chenghua District Center for Disease Control and Prevention, Chengdu, China
| | - Yuemei Feng
- School of Public Health, Kunming Medical University, Kunming, Yunnan, China
| | - Yangji Baima
- School of Medicine, Tibet University, Tibet, China
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
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Zhang B, Hart JE, Laden F, Bozigar M, James P. Environmental mixtures and body mass index in two prospective US-based cohorts of female nurses. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135794. [PMID: 39265401 DOI: 10.1016/j.jhazmat.2024.135794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 08/23/2024] [Accepted: 09/08/2024] [Indexed: 09/14/2024]
Abstract
We estimated the joint effect of particulate matter ≤ 2.5 µm in diameter (PM2.5), nitrogen dioxide (NO2), seasonal temperature, noise, greenness, light at night, and neighborhood socioeconomic status (NSES) on body mass index (BMI) in a mixture context among 194,966 participants from the Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) over 30 years. BMI was calculated from self-reported weight and height. Single- and multi-exposure generalized estimating equations models were used to estimate the difference in BMI per interquartile range (IQR) increase of environmental factors, and quantile g-computation methods were used to estimate joint associations. In both cohorts, we consistently observed positive associations of BMI with PM2.5 and NO2 concentrations as well as negative associations with light at night and NSES regardless modeling approach. A positive association with noise was only observed in NHS. Negative associations with greenness and winter temperature were only observed in NHSII. Overall, the changes in BMI per quintile increase in all eight exposures were -0.11 (-0.13, -0.08) in NHS and -0.39 (-0.41, -0.37) in NHSII, which were largely driven by air pollution and nighttime noise (18-45 %) in the positive direction and NSES (>70 %) in the negative direction. Future intervention on environmental factors, especially reducing PM2.5, NO2 and noise or improving the NSES, might be helpful to lower BMI.
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Affiliation(s)
- Boya Zhang
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Matthew Bozigar
- School of Nutrition and Public Health, College of Health, Oregon State University, 160 SW 26th Street, Corvallis, OR 97331, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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Pan S, Li Z, Rubbo B, Quon-Chow V, Chen JC, Baumert BO, Garcia E, Aung MT, Conti DV, Chatzi L. Applications of mixture methods in epidemiological studies investigating the health impact of persistent organic pollutants exposures: a scoping review. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00717-3. [PMID: 39256588 DOI: 10.1038/s41370-024-00717-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 08/21/2024] [Accepted: 08/22/2024] [Indexed: 09/12/2024]
Abstract
BACKGROUND Persistent organic pollutants (POPs) are environmental chemicals characterized by long half-lives in nature and human bodies, posing significant health risks. The concept of the exposome, encompassing all lifetime environmental exposures, underscores the importance of studying POP as mixtures rather than in isolation. The increasing body of evidence on the health impacts of POP mixtures necessitates the proper application of statistical methods. OBJECTIVES We aimed to summarize studies on the overall effects of POP mixtures, identify patterns in applications of mixture methods-statistical methods for investigating the association of mixtures-and highlight current challenges in synthesizing epidemiologic evidence of POP mixtures on health effects as illustrated through a case study. METHODS We conducted a systematic literature search on PubMed and Embase for epidemiological studies published between January 2011 and April 2023. RESULTS We included 240 studies that met our eligibility criteria. 126 studies focused on per- and polyfluoroalkyl substances (PFAS) mixtures only, while 40 analyzed three or more classes of POPs in mixture analyses. We identified 23 unique mixture methods used to estimate the overall effects of POP mixtures, with Bayesian Kernel Machine Regression (BKMR), a type of response-surface modeling, being the most common. Additionally, 22.9% of studies used a combination of methods, including response-surface modeling, index modeling, dimension reduction, and latent variable models. The most extensively explored health outcome category was body weight and birth sizes (n = 43), and neurological outcomes (n = 41). In the case study of PFAS mixtures and birth weight, 12 studies showed negative associations, while 4 showed null results, and 2 showed positive associations. IMPACT STATEMENT This scoping review consolidates the existing literature on the overall effects of POP mixtures using statistical methods. By providing a comprehensive overview, our study illuminates the present landscape of knowledge in this field and underscores the methodological hurdles prevalent in epidemiological studies focused on POP mixtures. Through this analysis, we aim to steer future research directions, fostering a more nuanced comprehension of the intricate dynamics involved in assessing the health effects of POP mixtures. Our work stands as a significant contribution to the ongoing exploration of the chemical exposome.
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Affiliation(s)
- Shudi Pan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA.
| | - Zhenjiang Li
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
| | - Bruna Rubbo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
| | - Victoria Quon-Chow
- Department of Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jiawen Carmen Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
| | - Brittney O Baumert
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
| | - Erika Garcia
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
| | - Max T Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern, California, Los Angeles, CA, USA
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Li M, Jiang S, Dong C, Jiang D. Association between fat-soluble vitamins and metabolic syndromes in US adults: a cross-section study from NHANES database. BMC Endocr Disord 2024; 24:178. [PMID: 39237954 PMCID: PMC11378540 DOI: 10.1186/s12902-024-01711-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 08/29/2024] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND Previous studies have shown significant associations between individual fat-soluble vitamins (FSVs) and metabolic syndromes (MetS). However, evidence on the multiple FSVs co-exposure and MetS odds is limited. Given that individuals are typically exposed to different levels of FSVs simultaneously, and FSVs can interact with each other. It's necessary to explore the association between multiple FSVs co-exposure and MetS odds. This study aims to address this gap in general U.S. adults aged ≥ 20 years. METHODS We conducted a cross-sectional study utilizing data from the National Health and Nutrition Examination Surveys (NHANESs) 2003-2006 and 2017-2018. Three FSV, including vitamin A (VA), vitamin E (VE), and vitamin D (VD), and MetS diagnosed according to the ATP III guidelines were selected as exposure and outcome, respectively. Multivariable-adjusted logistic model was used to explore the associations of individual FSV exposure with MetS odds and MetS components. Restricted cubic splines were performed to explore the dose-response relationships among them. The quantile g-computation method was adopted to explore the associations of multiple FSVs co-exposure with MetS odds and MetS components. RESULTS The presented study included a total of 13,975 individuals, with 2400 (17.17%) were diagnosed with MetS. After adjusting for various confounders, a positive linear pattern was observed for serum VA and VE and MetS associations. Serum VD was found to be negatively associated with MetS in a linear dose-response way. For each component of MetS, higher serum VA and VE were associated with higher triglyceride and high-density lipoprotein; higher serum VD was negatively associated with triglyceride, blood pressure, and fasting plasma glucose. MetS odds increased by 15% and 13%, respectively, in response to one quartile increase in FSVs co-exposure index (qgcomp) in the conditional model (OR = 1.15, 95%CI: 1.06, 1.24) and the marginal structural model (OR = 1.13, 95%CI: 1.06, 1.20). Besides, co-exposure to VA, VE, and VD was positively associated with triglyceride, high-density lipoprotein, and blood pressure levels. CONCLUSION Findings in the present study revealed that high serum VA and VE levels were associated with elevated MetS odds, while serum VD was inversely associated with MetS odds. FSVs co-exposure was positively associated with MetS odds.
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Affiliation(s)
- Muxi Li
- College of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150036, China
| | - Shan Jiang
- College of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China
| | - Chenxuan Dong
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Deyou Jiang
- College of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150036, China.
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Liu RL, Wang T, Yao YL, Lv XY, Hu YL, Chen XZ, Tang XJ, Zhong ZH, Fu LJ, Luo X, Geng LH, Yu SM, Ding YB. Association of ambient air pollutant mixtures with IVF/ICSI-ET clinical pregnancy rates during critical exposure periods. Hum Reprod Open 2024; 2024:hoae051. [PMID: 39301245 PMCID: PMC11412601 DOI: 10.1093/hropen/hoae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 08/04/2024] [Indexed: 09/22/2024] Open
Abstract
STUDY QUESTION Does exposure to a mixture of ambient air pollutants during specific exposure periods influence clinical pregnancy rates in women undergoing IVF/ICSI-embryo transfer (ET) cycles? SUMMARY ANSWER The specific exposure period from ET to the serum hCG test was identified as a critical exposure window as exposure to sulfur dioxide (SO2) or a combination of air pollutants was associated with a decreased likelihood of clinical pregnancy. WHAT IS KNOWN ALREADY Exposure to a single pollutant may impact pregnancy outcomes in women undergoing ART. However, in daily life, individuals often encounter mixed pollution, and limited research exists on the effects of mixed air pollutants and the specific exposure periods. STUDY DESIGN SIZE DURATION This retrospective cohort study involved infertile patients who underwent their initial IVF/ICSI-ET cycle at an assisted reproduction center between January 2020 and January 2023. Exclusions were applied for patients meeting specific criteria, such as no fresh ET, incomplete clinical and address information, residency outside the 17 cities in the Sichuan Basin, age over 45 years, use of donor semen, thin endometrium (<8 mm) and infertility factors unrelated to tubal or ovulation issues. In total, 5208 individuals were included in the study. PARTICIPANTS/MATERIALS SETTING METHODS Daily average levels of six air pollutants (fine particulate matter (PM2.5), inhalable particulate matter (PM10), SO2, nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3)) were acquired from air quality monitoring stations. The cumulative average levels of various pollutants were determined using the inverse distance weighting (IDW) method across four distinct exposure periods (Period 1: 90 days before oocyte retrieval; Period 2: oocyte retrieval to ET; Period 3: ET to serum hCG test; Period 4: 90 days before oocyte retrieval to serum hCG test). Single-pollutant logistic regression, two-pollutant logistic regression, Quantile g-computation (QG-C) regression, and Bayesian kernel machine regression (BKMR) were employed to evaluate the influence of pollutants on clinical pregnancy rates. Stratified analyses were executed to discern potentially vulnerable populations. MAIN RESULTS AND THE ROLE OF CHANCE The clinical pregnancy rate for participants during the study period was 54.53%. Single-pollutant logistic models indicated that for PM2.5 during specific exposure Period 1 (adjusted odds ratio [aOR] = 0.83, 95% CI: 0.70-0.99) and specific exposure Period 4 (aOR = 0.83, 95% CI: 0.69-0.98), and SO2 in specific exposure Period 3 (aOR = 0.92, 95% CI: 0.86-0.99), each interquartile range (IQR) increment exhibited an association with a decreased probability of clinical pregnancy. Consistent results were observed with dual air pollution models. In the multi-pollution analysis, QG-C indicated a 12% reduction in clinical pregnancy rates per IQR increment of mixed pollutants during specific exposure Period 3 (aOR = 0.89, 95% CI: 0.79-0.99). Among these pollutants, SO2 (33.40%) and NO2 (33.40%) contributed the most to the negative effects. The results from BKMR and QG-C were consistent. Stratified analysis revealed increased susceptibility to ambient air pollution among individuals who underwent transfer of two embryos, those with BMI ≥ 24 kg/m2 and those under 35 years old. LIMITATIONS REASONS FOR CAUTION Caution was advised in interpreting the results due to the retrospective nature of the study, which was prone to selection bias from non-random sampling. Smoking and alcohol, known confounding factors in IVF/ICSI-ET, were not accounted for. Only successful cycles that reached the hCG test were included, excluding a few patients who did not reach the ET stage. While IDW was used to estimate pollutant concentrations at residential addresses, data on participants' work locations and activity patterns were not collected, potentially affecting the accuracy of exposure prediction. WIDER IMPLICATIONS OF THE FINDINGS Exposure to a mixture of pollutants, spanning from ET to the serum hCG test (Period 3), appeared to be correlated with a diminished probability of achieving clinical pregnancy. This association suggested a potential impact of mixed pollutants on the interaction between embryos and the endometrium, as well as embryo implantation during this critical stage, potentially contributing to clinical pregnancy failure. This underscored the importance of providing women undergoing ART with comprehensive information to comprehend the potential environmental influences and motivating them to adopt suitable protective measures when feasible, thereby mitigating potential adverse effects of contaminants on reproductive health. STUDY FUNDING/COMPETING INTERESTS This work received support from the National Key Research and Development Program of China (No. 2023YFC2705900), the National Natural Science Foundation of China (Nos. 82171664, 81971391, 82171668), the Natural Science Foundation of Chongqing Municipality of China (Nos. CSTB2022NSCQ-LZX0062, CSTB2023TIAD-KPX0052) and the Foundation of State Key Laboratory of Ultrasound in Medicine and Engineering (No. 2021KFKT013). The authors report no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Rui-Ling Liu
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Toxicology, Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Tong Wang
- Department of Toxicology, Key Lab of Medical Protection for Electromagnetic Radiation, Ministry of Education of China, Institute of Toxicology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ying-Ling Yao
- Department of Toxicology, Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Xing-Yu Lv
- The Reproductive Center, Sichuan Jinxin Xinan Women & Children's Hospital, Chengdu, Sichuan, China
| | - Yu-Ling Hu
- The Reproductive Center, Sichuan Jinxin Xinan Women & Children's Hospital, Chengdu, Sichuan, China
| | - Xin-Zhen Chen
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Xiao-Jun Tang
- Department of Toxicology, Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Zhao-Hui Zhong
- Department of Toxicology, Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Li-Juan Fu
- Department of Toxicology, Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health, Chongqing Medical University, Chongqing, China
- Department of Pharmacology, Academician Workstation, Changsha Medical University, Changsha, China
| | - Xin Luo
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li-Hong Geng
- The Reproductive Center, Sichuan Jinxin Xinan Women & Children's Hospital, Chengdu, Sichuan, China
| | - Shao-Min Yu
- Department of Obstetrics and Gynecology, The People's Hospital of Yubei, Chongqing, China
| | - Yu-Bin Ding
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Pharmacology, Academician Workstation, Changsha Medical University, Changsha, China
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Wu D, Guo Z, Xue H, Fan L, Liao Y, Nyame L, Cui M, Tian Y, Ruan Z, Du W. Association between City-Level Particulate Matter Exposure and Frailty among Middle-Aged and Older Adults in China. Gerontology 2024:1-14. [PMID: 39245032 DOI: 10.1159/000539517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 05/18/2024] [Indexed: 09/10/2024] Open
Abstract
INTRODUCTION The effects of exposure to particulate matter and frailty, as well as its exposure-response relationship, have not been effectively explored. This study aimed to explore the association between long-term exposure to particulate matter and frailty state and each dimension in Chinese middle-aged and older adults, in addition to the exposure-response relationship. METHODS The data were obtained from the National Urban Air Quality Real-Time Dissemination Platform and China Health and Retirement Longitudinal Study (CHARLS). Frailty was measured by a frailty index containing 39 indicators. Annual averages of seven pollutants were calculated from hourly monitoring data. We used multilevel regression modeling to explore the association between long-term exposure to particulate matter and frailty. Meanwhile, we explored the exposure-response relationship based on a multilevel generalized summation model. We performed a sensitivity analysis using a multi-pollution model and a quantile-based g-computation (QGC) model. RESULTS A total of 15,611 participants were included in the analysis. We find that long-term exposure to PM2.5 was associated with an increased risk of pre-frailty and frailty (all p < 0.05). PMc and PM10 exhibited similar associations. The exposure-response relationship between PM2.5 showed a linear relationship, whereas the exposure-response relationship between PM10, PMc showed a nonlinear relationship. Elevated PM2.5 concentrations showed significant positive associations with the number of chronic disease score, IADL score, and functional limitation status score (all p < 0.05). PM10 and PMc showed similar positive correlations. These results remained robust after sensitivity analyses using a multi-pollution model and QGC model. CONCLUSION Chronic exposure to particulate matter was significantly associated with increased risk of frailty. The exposure-response relationship between PM2.5 concentration and frailty showed a linear relationship, and the exposure-response relationship between PM10 and PMc showed a nonlinear relationship. Exposure to a mixture of pollutants carried a higher risk of frailty than exposure to a single pollutant.
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Affiliation(s)
- Di Wu
- School of Public Health, Southeast University, Nanjing, China
| | - Zhen Guo
- School of Public Health, Southeast University, Nanjing, China
| | - Hui Xue
- School of Public Health, Southeast University, Nanjing, China,
| | - Lijun Fan
- School of Public Health, Southeast University, Nanjing, China
| | - Yilan Liao
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Linda Nyame
- School of Public Health, Southeast University, Nanjing, China
| | - Mengjing Cui
- School of Public Health, Southeast University, Nanjing, China
| | - Yong Tian
- School of Law and Politics, Nanjing University of Information Science and Technology, Nanjing, China
- Common Prosperity Research Institute, Nanjing University of Information Science and Technology, Nanjing, China
| | - Zengliang Ruan
- School of Public Health, Southeast University, Nanjing, China
| | - Wei Du
- School of Public Health, Southeast University, Nanjing, China
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Yang C, Ning X, Wang B, Tian T, Chen Y, Ma L, Wang L. Association between spectrum of mycotoxins and semen quality: A cross-sectional study in Beijing, China. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:135124. [PMID: 38981237 DOI: 10.1016/j.jhazmat.2024.135124] [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: 06/26/2024] [Accepted: 07/05/2024] [Indexed: 07/11/2024]
Abstract
Exposure to mycotoxins is unavoidable in daily life through ingestion, dermal, and inhalation routes. Toxicological studies found that exposure to mycotoxins might affect male reproductive function. However, there is still a lack of population evidence. We aimed to assess the association of individual and joint exposure to spectrum of mycotoxins with semen quality. The present study included 192 participants in Beijing, China. We measured conventional semen parameters and assessed semen quality. Sixty-seven traditional or emerging mycotoxins were determined to describe the spectrum of mycotoxins. The participants were widely exposed to multiple mycotoxins, and nearly half were simultaneously exposed to more than six mycotoxins. After adjusting potential confounders, logistic regression indicated that the number and concentration of plasma mycotoxin were correlated to the risk of low semen quality. Plasma beauvericin and citrinin concentrations were associated with lower semen quality. The least absolute shrinkage and selection operator regression showed similar results to logistic regression. Quantile-based g-computation and Bayesian kernel machine regression models found that the mixture of mycotoxins was harmful to semen quality, especially in sperm motility. In conclusion, both individual and mixture of mycotoxin exposure were correlated with lower semen quality. More regulations and measures should be taken to reduce mycotoxin contamination.
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Affiliation(s)
- Chen Yang
- Institute of Reproductive and Child Health/National Health Commission, Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xiao Ning
- Key Laboratory of Food Quality and Safety for State Market Regulation, National Institute of Food and Drug Control, Beijing 100050, China
| | - Baojun Wang
- Department of Urology Surgery, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100006, China
| | - Tian Tian
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Yongyan Chen
- Institute of Reproductive and Child Health/National Health Commission, Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Le Ma
- Department of Urology Surgery, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100006, China.
| | - Linlin Wang
- Institute of Reproductive and Child Health/National Health Commission, Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
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Burdeau JA, Stephenson BJK, Chavarro JE, Mahalingaiah S, Preston EV, Hivert MF, Oken E, Calafat AM, Rifas-Shiman SL, Zota AR, James-Todd T. Early Pregnancy Plasma Per- and Polyfluoroalkyl Substances (PFAS) and Maternal Midlife Adiposity. J Clin Endocrinol Metab 2024:dgae542. [PMID: 39235224 DOI: 10.1210/clinem/dgae542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Indexed: 09/06/2024]
Abstract
CONTEXT Evidence suggests that exposure to per- and polyfluoroalkyl substances (PFAS) increases the risk of developing cardiometabolic disease risk factors. Limited research has evaluated associations between PFAS, assessed during pregnancy, a sensitive window for maternal endocrine effects, and long-term maternal adiposity. OBJECTIVE Estimate associations of early pregnancy measures of individual PFAS, and PFAS mixtures, with maternal adiposity in midlife. METHODS We studied 547 Project Viva participants with measures of early pregnancy (mean gestation 10.0 weeks; mean age 32.5 years) plasma concentrations of 6 PFAS and midlife adiposity outcomes (mean follow-up 17.7 years; mean age 50.7 years), including weight, waist circumference (WC), trunk fat mass (TFM), and total body fat mass (TBFM). We used linear regression and Bayesian Kernel Machine Regression (BKMR). RESULTS Linear regression estimated higher midlife weight per doubling of perfluorooctane sulfonate (PFOS) (3.8 kg [95% CI: 1.6, 5.9]) and 2-(N-ethyl-perfluorooctane sulfonamido) acetate (2.3 kg [95% CI: 0.9, 3.7]). BKMR analyses of single PFAS plasma concentrations (comparing the 25th percentile concentration to the 75th percentile) showed a positive association between PFOS and midlife adiposity (weight: 7.7 kg [95% CI: 4.0, 11.5]; TFM: 1.2 kg [95% CI: 0.0, 2.3]; TBFM: 3.0 kg [95% CI: 0.8, 5.2]), but inverse associations with perfluorononanoate (weight: -6.0 kg [95% CI: -8.5, -3.5]; WC: -1.8 cm [95% CI: -3.2, -0.3]; TFM: -0.8 kg [95% CI: -1.5, -0.1]; TBFM: -1.4 kg [95% CI: -2.7, -0.3]) and perfluorohexane sulfonate (TFM: -0.8 kg [95% CI: -1.5, -0.1]; TBFM: -1.4 kg [95% CI: -2.6, -0.2]). No associations were observed with the overall PFAS mixture. CONCLUSION Select PFAS, assessed in pregnancy, may differentially affect maternal midlife adiposity, influencing later-life maternal cardiometabolic health.
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Affiliation(s)
- Jordan A Burdeau
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Briana J K Stephenson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Shruthi Mahalingaiah
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emma V Preston
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emily Oken
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Ami R Zota
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Tamarra James-Todd
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
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Dai Y, Ding J, Wang Z, Zhang B, Guo Q, Guo J, Qi X, Chang X, Wu C, Zhang J, Zhou Z. Sex-specific associations of per- and polyfluoroalkyl substances with brain-derived neurotrophic factors (BDNF) in cord serum. ENVIRONMENTAL RESEARCH 2024; 262:119922. [PMID: 39237020 DOI: 10.1016/j.envres.2024.119922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 09/01/2024] [Accepted: 09/02/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) is perceived as an emerging environmental endocrine disruptor, which have been linked to children neurodevelopment. However, the potential mechanisms are not clear. Brain-derived neurotrophic factor (BDNF) is a vital protein in neurodevelopment, and the associations between PFAS exposure and BDNF require exploration. OBJECTIVE We aimed to explore the relationships between PFAS exposure and the levels of BDNF in cord serum. METHODS A total of 1,189 mother-infant dyads from the Sheyang Mini Birth Cohort Study (SMBCS) were enrolled. The levels of 12 PFAS and BDNF were measured in cord serum. We utilized generalized linear models (GLMs), quantile-based g-computation (QGC) models, and Bayesian Kernel Machine Regression (BKMR) models to explore the relationships between single and mixed PFAS exposure and BDNF concentration. Additionally, the potential sex differences were explored by sex-stratified analysis. RESULTS Median concentrations of the included 10 PFAS ranged from 0.04 to 3.97 μg/L. In the single chemical models, four PFAS congeners, namely perfluorononanoic acid (PFNA), perfluorooctane sulfonic acid (PFOS), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), were negatively associated with BDNF levels in cord serum among females only (β: -0.116 to -0.062, p < 0.05). In the BKMR models of total mother-infant dyads and female fetuses, the significant negative relationships between PFAS mixtures and BDNF were observed, and PFUnDA was identified as an important contributor (Posterior inclusion probability, PIP = 0.8584 for the total subjects; PIP = 0.8488 for the females). PFOS was another important driver based on the mixture approaches. CONCLUSIONS We found that PFNA, PFOS, PFDA, and PFUnDA were associated with decreased BDNF concentration in the females, although the causal inference might be limited. PFAS mixtures were also negatively linked with BDNF levels in the total mother-infant pairs and female fetuses. The adverse effect of PFAS exposure on fetal BDNF levels might be sex-specific.
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Affiliation(s)
- Yiming Dai
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Jiayun Ding
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Zheng Wang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Boya Zhang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Qin Guo
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Jianqiu Guo
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Xiaojuan Qi
- Zhejiang Provincial Center for Disease Control and Prevention, No. 3399 Binsheng Road, Hangzhou, 310051, China
| | - Xiuli Chang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Chunhua Wu
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Jiming Zhang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China.
| | - Zhijun Zhou
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China.
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Hasegawa K, Motoki N, Inaba Y, Toubou H, Shibazaki T, Nakayama SF, Kamijima M, Tsukahara T, Nomiyama T. Maternal Exposure to Per- and Polyfluoroalkyl Substances and Offspring Chromosomal Abnormalities: The Japan Environment and Children's Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:97004. [PMID: 39258902 PMCID: PMC11389478 DOI: 10.1289/ehp13617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2024]
Abstract
BACKGROUND Although recent in vitro experimental results have raised the question of whether maternal exposure to per- and polyfluoroalkyl substances (PFAS) may be a potential environmental risk factor for chromosomal abnormalities, epidemiological studies investigating these associations are lacking. OBJECTIVES This study examined whether prenatal PFAS exposure is associated with a higher prevalence of chromosomal abnormalities among offspring. METHODS We used data from the Japan Environment and Children's Study, a nationwide birth cohort study, and employed logistic regression models to examine the associations between maternal plasma PFAS concentrations in the first trimester and the diagnosis of chromosomal abnormalities in all births (artificial abortions, miscarriages, stillbirths, and live births) up to 2 years of age. In addition, we examined associations with mixtures of PFAS using multipollutant models. RESULTS The final sample consisted of 24,724 births with singleton pregnancies, of which 44 confirmed cases of chromosomal abnormalities were identified (prevalence: 17.8/10,000 births). When examined individually, exposure to perfluorononanoic acid (PFNA) and perfluorooctane sulfonic acid (PFOS) showed positive associations with any chromosomal abnormalities with age-adjusted odds ratios of 1.81 (95% CI: 1.26, 2.61) and 2.08 (95% CI: 1.41, 3.07) per doubling in concentration, respectively. These associations remained significant after Bonferroni correction, although they did not reach the adjusted significance threshold in certain sensitivity analyses. Furthermore, the doubling in all PFAS included as a mixture was associated with chromosomal abnormalities, indicating an age-adjusted odds ratio of 2.25 (95% CI: 1.34, 3.80), with PFOS as the predominant contributor, followed by PFNA, perfluoroundecanoic acid (PFUnA), and perfluorooctanoic acid (PFOA). DISCUSSION The study findings suggested a potential association between maternal exposure to PFAS, particularly PFOS, and chromosomal abnormalities in offspring. However, the results should be interpreted cautiously, because selection bias arising from the recruitment of women in early pregnancy may explain the associations. https://doi.org/10.1289/EHP13617.
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Affiliation(s)
- Kohei Hasegawa
- Department of Preventive Medicine and Public Health, Shinshu University School of Medicine, Matsumoto, Japan
- Center for Perinatal, Pediatric, and Environmental Epidemiology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Noriko Motoki
- Department of Preventive Medicine and Public Health, Shinshu University School of Medicine, Matsumoto, Japan
- Center for Perinatal, Pediatric, and Environmental Epidemiology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Yuji Inaba
- Center for Perinatal, Pediatric, and Environmental Epidemiology, Shinshu University School of Medicine, Matsumoto, Japan
- Department of Neurology, Nagano Children's Hospital, Azumino, Japan
- Life Science Research Center, Nagano Children's Hospital, Azumino, Japan
| | - Hirokazu Toubou
- Department of Preventive Medicine and Public Health, Shinshu University School of Medicine, Matsumoto, Japan
- Center for Perinatal, Pediatric, and Environmental Epidemiology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Takumi Shibazaki
- Department of Pediatrics, Shinshu University School of Medicine, Matsumoto, Japan
| | - Shoji F Nakayama
- Japan Environment and Children's Study Programme Office, National Institute for Environmental Studies, Tsukuba, Japan
| | - Michihiro Kamijima
- Department of Occupational and Environmental Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Teruomi Tsukahara
- Department of Preventive Medicine and Public Health, Shinshu University School of Medicine, Matsumoto, Japan
- Center for Perinatal, Pediatric, and Environmental Epidemiology, Shinshu University School of Medicine, Matsumoto, Japan
- Department of Occupational Medicine, Shinshu University School of Medicine, Matsumoto, Japan
| | - Tetsuo Nomiyama
- Department of Preventive Medicine and Public Health, Shinshu University School of Medicine, Matsumoto, Japan
- Center for Perinatal, Pediatric, and Environmental Epidemiology, Shinshu University School of Medicine, Matsumoto, Japan
- Department of Occupational Medicine, Shinshu University School of Medicine, Matsumoto, Japan
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Suthar H, Tanghal RB, Chatzi L, Goodrich JA, Morello-Frosch R, Aung M. Metabolic Perturbations Associated with both PFAS Exposure and Perinatal/Antenatal Depression in Pregnant Individuals: A Meet-in-the-Middle Scoping Review. Curr Environ Health Rep 2024; 11:404-415. [PMID: 38898328 PMCID: PMC11324697 DOI: 10.1007/s40572-024-00451-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] [Accepted: 05/27/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE OF REVIEW Depression during the perinatal or antenatal period affects at least 1 in 10 women worldwide, with long term health implications for the mother and child. Concurrently, there is increasing evidence associating maternal exposure to per- and poly-fluoroalkyl substances (PFAS) to adverse pregnancy outcomes. We reviewed the body of evidence examining both the associations between PFAS exposure and perturbations in the maternal metabolome, and the associations between the maternal metabolome and perinatal/antenatal depression. Through this, we sought to explore existing evidence of the perinatal metabolome as a potential mediation pathway linking PFAS exposure and perinatal/antenatal depression. RECENT FINDINGS There are few studies examining the metabolomics of PFAS exposure-specifically in pregnant women-and the metabolomics of perinatal/antenatal depression, let alone studies examining both simultaneously. Of the studies reviewed (N = 11), the majority were cross sectional, based outside of the US, and conducted on largely homogenous populations. Our review identified 23 metabolic pathways in the perinatal metabolome common to both PFAS exposure and perinatal/antenatal depression. Future studies may consider findings from our review to conduct literature-derived hypothesis testing focusing on fatty acid metabolism, alanine metabolism, glutamate metabolism, and tyrosine metabolism when exploring the biochemical mechanisms conferring the risk of perinatal/antenatal depression due to PFAS exposure. We recommend that researchers also utilize heterogenous populations, longitudinal study designs, and mediation approaches to elucidate key pathways linking PFAS exposures to perinatal/antenatal depression.
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Affiliation(s)
- Himal Suthar
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Roselyn B Tanghal
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Jesse A Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy, and Management, University of California, 130 Mulford Hall #3114, Berkeley, CA, 94720, USA
| | - Max Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA.
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Dou Q, Bai Y, Li Y, Zheng S, Wang M, Wang Z, Sun J, Zhang D, Yin C, Ma L, Lu Y, Zhang L, Chen R, Cheng Z. Perfluoroalkyl substances exposure and the risk of breast cancer: A nested case-control study in Jinchang Cohort. ENVIRONMENTAL RESEARCH 2024; 262:119909. [PMID: 39222733 DOI: 10.1016/j.envres.2024.119909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 08/28/2024] [Accepted: 08/31/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND As persistent organic pollutants (POPs), perfluoroalkyl substances (PFAS) may potentially impact human health. Our study aimed to investigate the prospective association between PFAS exposure and the incidence risk of breast cancer in females. METHODS By fully following the Jinchang Cohort after a decade, we conducted this nested case-control study with 135 incidence cases of breast cancer (BC) and 540 bias-paired controls. The PFAS levels were tested by baseline serum samples. Conditional logistic regression and a restricted cubic spline model were employed to investigate the BC incidence risks and the dose-response associated with single PFAS component exposure. Furthermore, the Quantile g-computation model (Qgc), random forest model (RFM), and bayesian kernel machine regression models (BKMR) were integrated to estimate the mixed effects of PFAS exposure on the incidence risk of BC. RESULTS Exposures to specific PFAS components were positively associated with an increased incidence risk of breast cancer. By grouping the study population into different baseline menopausal statuses, PFHxS, PFNA, PFBA, PFUdA, PFOS, and PFDA demonstrated a similarly positive correlation with BC incidence risks. However, the increased incidence risks of BC associated with PFOA, PFOS, PFUdA, and 9CL-PF3ONS exposure were exclusively found in the premenopausal population. Both BKMR and Qgc revealed that exposure to mixed PFAS was associated with an increased risk of breast cancer, with Qgc specifically indicating an odds ratio (OR) of 2.21 (95% CI: 1.53, 3.19). Random forests showed that PFBA, PFOS, PFHxS, and PFDA emerged as predominant factors potentially influencing breast cancer incidence. CONCLUSION Our findings suggest a strong association between PFAS exposure and the incidence of breast cancer. Premenopausal women should exercise more caution regarding PFAS exposure.
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Affiliation(s)
- Qian Dou
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
| | - Yana Bai
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Yongjun Li
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, 730000, China
| | - Shan Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Minzhen Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Zhongge Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Jianyun Sun
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, 730000, China
| | - Desheng Zhang
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang, 737100, Gansu, China
| | - Chun Yin
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang, 737100, Gansu, China
| | - Li Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Yongbin Lu
- Center for Evidence-Based Medicine, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Lizhen Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Ruirui Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Zhiyuan Cheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
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Madrigal JM, Pruitt CN, Fisher JA, Liao LM, Graubard BI, Gierach GL, Silverman DT, Ward MH, Jones RR. Carcinogenic industrial air pollution and postmenopausal breast cancer risk in the National Institutes of Health AARP Diet and Health Study. ENVIRONMENT INTERNATIONAL 2024; 191:108985. [PMID: 39226766 PMCID: PMC11425761 DOI: 10.1016/j.envint.2024.108985] [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: 05/17/2024] [Revised: 08/01/2024] [Accepted: 08/23/2024] [Indexed: 09/05/2024]
Abstract
BACKGROUND Chemicals emitted from industrial facilities include known or suspected mammary carcinogens and endocrine disruptors, but epidemiologic studies are limited. We evaluated associations between air emissions of multiple carcinogenic chemicals and postmenopausal breast cancer risk in a large prospective U.S. COHORT METHODS We used the U.S. Environmental Protection Agency's Toxics Release Inventory to estimate historical airborne emissions (1987-1995) of 19 known and probable carcinogens for participants enrolled (1995-1996) in the NIH-AARP Diet and Health Study. Among 170,402 women, 15,124 breast cancers were diagnosed through 2018. We constructed inverse distance- and wind-weighted average emissions metrics within 1, 2, 5, and 10 km of the enrollment address for each chemical. We estimated multivariable adjusted HRs and 95 % CIs for categories (quartiles, tertiles, medians) of each chemical in association with breast cancer overall and separately by type (invasive, ductal carcinoma in situ) and estrogen receptor (ER) status. RESULTS We observed an association between benzene emissions and breast cancer risk that was strongest at 1 km (HRQ4 vs. non-exposed = 2.06, 95 %CI: 1.34-3.17; p-trend = 0.001). The magnitude of the association weakened with increasing distance (2 km HRQ4 vs. non-exposed = 1.17, 95 %CI=0.92-1.49; p-trend = 0.19; 5 km HRQ4 vs. non-exposed = 1.05, 95 %CI=0.94-1.16; p-trend = 0.37; 10 km HRQ4 vs. non-exposed = 0.95, 95 %CI=0.89-1.02; p-trend = 0.19) and appeared to be most relevant for invasive rather than intraductal disease. Overall risk was also elevated for vinyl chloride at 5 km (HR≥median vs. non-exposed = 1.20, 95 %CI=1.01-1.43; p-trend = 0.04), but not 2 km or 10 km. We observed suggestive associations for asbestos, trichloroethylene, and styrene in different subgroup analyses, but risk patterns were not clear across distances. Associations with other chemicals were generally null, with limited evidence of heterogeneity by disease type or ER status. CONCLUSIONS An increased risk of breast cancer associated with relatively high levels of industrial benzene emissions warrants additional study, particularly among participants with diverse sociodemographic characteristics that live in areas with higher density of industrial facilities.
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Affiliation(s)
- Jessica M Madrigal
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA.
| | - Caroline N Pruitt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Jared A Fisher
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Linda M Liao
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Barry I Graubard
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
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Abulikemu A, Zhang X, Su X, Meng T, Su W, Shi Q, Yu T, Niu Y, Yu H, Yuan H, Zhou C, Yang H, Zhang Y, Wang Y, Dai Y, Duan H. Particulate matter, polycyclic aromatic hydrocarbons and metals, platelet parameters and blood pressure alteration: Multi-pollutants study among population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 941:173657. [PMID: 38838997 DOI: 10.1016/j.scitotenv.2024.173657] [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: 12/06/2023] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/07/2024]
Abstract
Epidemiological findings have determined the linkage of fine particulate matter (PM2.5) and the morbidity of hypertension. However, the mode of action and specific contribution of PM2.5 component in the blood pressure elevation remain unclear. Platelets are critical for vascular homeostasis and thrombosis, which may be involved in the increase of blood pressure. Among 240 high-PM2.5 exposed, 318 low-PM2.5 exposed workers in a coking plant and 210 workers in the oxygen plant and cold-rolling mill enrolled in present study, both internal and external exposure characteristics were obtained, and we performed linear regression, adaptive elastic net regression, quantile g-computation and mediation analyses to analyze the relationship between urine metabolites of polycyclic aromatic hydrocarbons (PAHs) and metals fractions with platelets indices and blood pressure indicators. We found that PM2.5 exposure leads to increased systolic blood pressure (SBP) and pulse pressure (PP). Specifically, for every 10 μg/m3 increase in PM2.5, there was a 0.09 mmHg rise in PP. Additionally, one IQR increase in urinary 1-hydroxypyrene (1.06 μmol/mol creatinine) was associated with a 3.43 % elevation in PP. Similarly, an IQR increment of urine cobalt (2.31 μmol/mol creatinine) was associated with a separate 1.77 % and 4.71 % elevation of SBP and PP. Notably, platelet-to-lymphocyte ratio (PLR) played a mediating role in the elevation of SBP and PP induced by cobalt. Our multi-pollutants results showed that PAHs and cobalt were deleterious contributors to the elevated blood pressure. These findings deepen our understanding of the cardiovascular effects associated with PM2.5 constituents, highlighting the importance of increased vigilance in monitoring and controlling the harmful components in PM2.5.
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Affiliation(s)
- Alimire Abulikemu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xuewei Zhang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xizi Su
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- Institute of Brain Science, Shanxi Datong University, Datong, China
| | - Wenge Su
- Laigang Hospital Affiliated to Taishan Medical University, Jinan, China
| | - Qiwei Shi
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Tao Yu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haitao Yu
- Laigang Hospital Affiliated to Taishan Medical University, Jinan, China
| | - Huige Yuan
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Cailan Zhou
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haoying Yang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanshu Zhang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Yanhua Wang
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China; Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yufei Dai
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huawei Duan
- State Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China; Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
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Li S, Xiang Y, Yang X, Chen J, Xian W, Wang Y. Associations of sugary beverage consumption with chronic obstructive pulmonary disease, asthma, and asthma-chronic obstructive pulmonary disease overlap syndrome: a prospective cohort study. Am J Clin Nutr 2024; 120:707-718. [PMID: 38971468 DOI: 10.1016/j.ajcnut.2024.07.001] [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: 04/23/2024] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024] Open
Abstract
BACKGROUND The associations between specific types of sugary beverages and major chronic respiratory diseases remain relatively unexplored. OBJECTIVES This study aimed to investigate the associations of sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs), and natural juices (NJs) with chronic obstructive pulmonary disease (COPD), asthma, and asthma-chronic obstructive pulmonary disease overlap syndrome (ACOS). METHODS This prospective cohort study included 210,339 participants from the UK Biobank. Sugary beverage intake was measured in units (glasses/cans/cartons/250 mL) through 24-h dietary questionnaires. Logistic regression and Cox proportional hazards models were used to analyze the prevalence and incidence, respectively. Quantile G-computation was used to estimate the joint associations and relative contributions of the 3 types of sugary beverages. RESULTS Over a median follow-up of 11.6 y, 3491 participants developed COPD, 4645 asthma, and 523 ACOS. In prevalence analysis, certain categories of SSB and NJ consumption were associated with increased asthma prevalence, while high ASB consumption (>2 units/d) was linked to higher risks of all 3 outcomes. In incidence analysis, high SSB consumption (>2 units/d) was associated with incident COPD (hazard ratio [HR]: 1.53; 95% confidence interval [CI]: 1.19, 1.98) and asthma (HR: 1.22; 95% CI: 0.98, 1.52). Dose‒response relationships were observed for ASB consumption with all 3 outcomes (continuous HR: 1.98; 95% CI: 1.36, 2.87, for COPD; continuous HR: 1.65; 95% CI: 1.24, 2.20, for asthma; and continuous HR: 2.84; 95% CI: 1.20, 6.72, for ACOS). Moderate NJ consumption (>0-1 unit/d) was inversely associated with COPD (HR: 0.89; 95% CI: 0.82, 0.97), particularly grapefruit and orange juice. Joint exposure to these beverages (per unit increase) was associated with COPD (HR: 1.15; 95% CI: 1.02, 1.29) and asthma (HR: 1.16; 95% CI: 1.06, 1.27), with ASBs having greater positive weights than SSBs. CONCLUSIONS Consumption of SSBs and ASBs was associated with increased risks of COPD, asthma, and potentially ACOS, whereas moderate NJ consumption was associated with reduced risk of COPD, depending on the juice type.
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Affiliation(s)
- Sicheng Li
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
| | - Yi Xiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xue Yang
- MED-X institute, Center for Immunological and Metabolic Diseases, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jiajin Chen
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Wenpan Xian
- Department of Stomatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China; State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, National Clinical Research Center for Oral Diseases, Sichuan University, Chengdu, China.
| | - Yan Wang
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
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Taylor BD, Noah AI, Adekanmbi V, Zhang Y, Berenson AB. Per- and Polyfluoroalkyl Substances May Be Correlated With Chlamydia trachomatis: Data From the National Health and Nutrition Examination Survey 2003-2016. J Occup Environ Med 2024; 66:750-756. [PMID: 38752649 PMCID: PMC11371533 DOI: 10.1097/jom.0000000000003151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2024]
Abstract
OBJECTIVE Per- and polyfluoroalkyl substances (PFAS) alter immune function increasing infectious diseases risk. We examined the relationship between PFAS and chlamydia. METHODS A total of 3965 nonpregnant adults ages 18-39 years from the National Nutrition Examination Survey 2003-2016 cycles were included. Poisson regression with robust error variance estimated the prevalence ratio and 95% confidence intervals for the association between PFAS and chlamydia. A g computation model was used to examine PFAS mixtures and chlamydia. RESULTS In adjusted age and sex-stratified models, an increase in PFAS mixtures by one quintile was associated with chlamydia in older males and younger females. Associations were not observed before stratification. CONCLUSIONS PFAS exposure associated with higher chlamydia prevalence, but only in stratified models suggesting biological differences by gender and age. However, small sample sizes could have affected the precision of our models.
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Affiliation(s)
- Brandie DePaoli Taylor
- From the Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas (B.D.T., A.N., V.A., A.B.); Department of Population Health and Health Disparities, University of Texas Medical Branch, Galveston, Texas (B.D.T.); Center for Interdisciplinary Research in Women's Health, University of Texas Medical Branch, Galveston, Texas (B.D.T., V.A., A.B.); and Department of Biostatistics and Data Science, University of Texas Medical Branch, Galveston, Texas (Y.Z.)
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