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Xu X, Zheng J, Li J, Shen Y, Zhu L, Jin Y, Zhang M, Yang S, Du J, Wang H, Chen B, Dong R. Phthalate exposure and markers of biological aging: The mediating role of inflammation and moderating role of dietary nutrient intake. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 281:116649. [PMID: 38954910 DOI: 10.1016/j.ecoenv.2024.116649] [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: 03/10/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024]
Abstract
Limited evidence has suggested a relationship between phthalate exposure and biological aging. This study investigated the association between phthalate exposure and biological aging, focusing on the mediating role of inflammation and the interaction with dietary nutrient intake. Data were analyzed from a nationwide cross-sectional survey comprising 12,994 participants aged 18 and above. Eight phthalate metabolites were detected in spot urine samples. Biological aging was assessed using the Klemera-Doubal method-biological age (KDM-BA) acceleration, phenotypic age (PA) acceleration, and homeostatic dysregulation (HD). The systemic immune-inflammation index (SII) evaluated systemic inflammation. The individual and combined associations between phthalate exposure and biological aging were assessed using linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp). The participants had a mean age of 47 years, with 50.7 % male and 44.8 % non-Hispanic white. Most phthalate metabolites were positively correlated with KDM-BA acceleration (β = 0.306-0.584), PA acceleration (β = 0.081-0.281), and HD (β = 0.016-0.026). Subgroup analysis indicated that men, older individuals, and non-Hispanic whites are particularly sensitive populations. WQS regression and qgcomp analyses consistently indicated a positive association between mixed phthalate exposure and HD, highlighting MEHHP as the most significant contributing metabolite. Mediation analyses showed inflammation partially mediated the association between phthalate metabolites and biological aging. Significant interactions regarding biological aging were found between specific phthalate metabolites and dietary nutrients (carotenoids, vitamins A, B1, B2, B6, B12, niacin, and selenium) intake. These findings indicated that the association between phthalate exposure and biological aging was mediated by inflammation, with nutrient intake mitigating this effect.
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Affiliation(s)
- Xin Xu
- School of Public Health, Institute of Nutrition, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | | | - Jing Li
- Zhongshan Community Health Care Center, Songjiang District, Shanghai 201613, China
| | - Ying Shen
- Zhongshan Community Health Care Center, Songjiang District, Shanghai 201613, China
| | - Leiyan Zhu
- Zhongshan Community Health Care Center, Songjiang District, Shanghai 201613, China
| | - Yan Jin
- Zhongshan Community Health Care Center, Songjiang District, Shanghai 201613, China
| | - Mei Zhang
- Zhongshan Community Health Care Center, Songjiang District, Shanghai 201613, China
| | - Shuyu Yang
- Nutrilite Health Institute, Shanghai 200023, China
| | - Jun Du
- Nutrilite Health Institute, Shanghai 200023, China
| | - Huatao Wang
- Institute of Science and Technology, Fudan University, Shanghai 200433, China
| | - Bo Chen
- School of Public Health, Institute of Nutrition, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Ruihua Dong
- School of Public Health, Institute of Nutrition, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China.
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Wu B, Sheng N, Li Z, Wang J, Ji S, Zhao F, Pan Y, Qu Y, Wei Y, Xie L, Li Y, Hu X, Wu C, Zhang Z, Qiu Y, Zheng X, Zhang W, Hu X, Song H, Cai J, Cao Z, Ji JS, Lv Y, Dai J, Shi X. Positive Associations of Perfluoroalkyl and Polyfluoroalkyl Substances With Hypertension May Be Attenuated by Endogenous Sex Hormones: A Nationally Representative Cross-Sectional Study. Hypertension 2024; 81:1799-1810. [PMID: 38853753 DOI: 10.1161/hypertensionaha.123.22127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 05/06/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND Perfluoroalkyl and polyfluoroalkyl substance (PFAS) has endocrine-disrupting properties and may affect blood pressure. Endogenous hormones also play a crucial role in the progression of hypertension. However, their interaction with hypertension remains to be explored. METHODS This study included 10 794 adults aged ≥18 years from the China National Human Biomonitoring program. Weighted multiple logistic regression and linear regression were used to examine the associations of serum PFAS with hypertension, diastolic blood pressure, and systolic blood pressure. Joint effects of PFAS mixtures on hypertension, diastolic blood pressure, and systolic blood pressure were evaluated using quantile-based g-computation. Additive and multiplicative interactions were used to assess the role of PFAS with testosterone and estradiol on hypertension. RESULTS The prevalence of hypertension in Chinese adults was 35.50%. Comparing the fourth quartile with the first quartile, odds ratio (95% CI) of hypertension were 1.53 (1.13-2.09) for perfluorononanoic acid, 1.40 (1.03-1.91) for perfluorodecanoic acid, 1.34 (1.02-1.78) for perfluoroheptane sulfonic acid, and 1.46 (1.07-1.99) for perfluorooctane sulfonic acid. Moreover, PFAS mixtures, with perfluorononanoic acid contributing the most, were positively associated with hypertension, diastolic blood pressure, and systolic blood pressure. PFAS and endogenous hormones had an antagonistic interaction in hypertension. For example, the relative excess risk ratio, attributable proportion, and synergy index for perfluorononanoic acid and estradiol were -3.61 (-4.68 to -2.53), -1.65 (-2.59 to -0.71), and 0.25 (0.13-0.47), respectively. CONCLUSIONS Perfluorononanoic acid, perfluorodecanoic acid, perfluoroheptane sulfonic acid, perfluorooctane sulfonic acid, and PFAS mixtures showed positive associations with hypertension, systolic blood pressure, and diastolic blood pressure. Positive associations of PFAS with hypertension might be attenuated by increased levels of endogenous sex hormones.
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Affiliation(s)
- Bing Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Nan Sheng
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, China (N.S., J.W., Y.P., J.D.)
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Jinghua Wang
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, China (N.S., J.W., Y.P., J.D.)
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Yitao Pan
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, China (N.S., J.W., Y.P., J.D.)
| | - Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Yuan Wei
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Linna Xie
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Xiaojian Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Changzi Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Zheng Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Yidan Qiu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Wenli Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Xuehua Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Haocan Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China (J.S.J.)
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
| | - Jiayin Dai
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, China (N.S., J.W., Y.P., J.D.)
- Center for Global Health, School of Public Health, Nanjing Medical University, China (J.D., X.S.)
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing (B.W., Z.L., S.J., F.Z., Y.Q., Y.W., L.X., Y.L., X.H., C.W., Z.Z., Y.Q., X.Z., W.Z., X.H., H.S., J.C., Z.C., Y.L., X.S.)
- Center for Global Health, School of Public Health, Nanjing Medical University, China (J.D., X.S.)
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Li K, Yang Y, Zhao J, Zhou Q, Li Y, Yang M, Hu Y, Xu J, Zhao M, Xu Q. Associations of metals and metal mixtures with glucose homeostasis: A combined bibliometric and epidemiological study. JOURNAL OF HAZARDOUS MATERIALS 2024; 470:134224. [PMID: 38583198 DOI: 10.1016/j.jhazmat.2024.134224] [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: 01/25/2024] [Revised: 04/03/2024] [Accepted: 04/04/2024] [Indexed: 04/09/2024]
Abstract
This study employs a combination of bibliometric and epidemiological methodologies to investigate the relationship between metal exposure and glucose homeostasis. The bibliometric analysis quantitatively assessed this field, focusing on study design, predominant metals, analytical techniques, and citation trends. Furthermore, we analyzed cross-sectional data from Beijing, examining the associations between 14 blood metals and 6 glucose homeostasis markers using generalized linear models (GLM). Key metals were identified using LASSO-PIPs criteria, and Bayesian kernel machine regression (BKMR) was applied to assess metal mixtures, introducing an "Overall Positive/Negative Effect" concept for deeper analysis. Our findings reveal an increasing research interest, particularly in selenium, zinc, cadmium, lead, and manganese. Urine (27.6%), serum (19.0%), and whole blood (19.0%) were the primary sample types, with cross-sectional studies (49.5%) as the dominant design. Epidemiologically, significant associations were found between 9 metals-cobalt, copper, lithium, manganese, nickel, lead, selenium, vanadium, zinc-and glucose homeostasis. Notably, positive-metal mixtures exhibited a significant overall positive effect on insulin levels, and notable interactions involving nickel were identified. These finding not only map the knowledge landscape of research in this domain but also introduces a novel perspective on the analysis strategies for metal mixtures.
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Affiliation(s)
- Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yisen Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yaoyu Hu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
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Zhou R, Chen Z, Yang T, Gu H, Yang X, Cheng S. Vitamin D Deficiency Exacerbates Poor Sleep Outcomes with Endocrine-Disrupting Chemicals Exposure: A Large American Population Study. Nutrients 2024; 16:1291. [PMID: 38732537 PMCID: PMC11085561 DOI: 10.3390/nu16091291] [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: 04/07/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Phthalates and bisphenol A are recognized as the predominant endocrine-disrupting substances (EDCs) in the environment, but their impact on sleep health remains unclear. Vitamin D has often been reported to play a role in sleep health and may be affected by endocrine-disrupting compounds. The study utilized data from 5476 individuals in the NHANES project to investigate the correlation between combined exposure to environmental EDCs and sleep duration through modeling various exposures. Furthermore, it emphasizes the importance of vitamin D in the present scenario. Preliminary analyses suggested that vitamin D-deficient individuals generally slept shorter than individuals with normal vitamin D (p < 0.05). Exposure to Mono-ethyl phthalate (MEP), triclosan (TRS), and Mono-benzyl phthalate (MZP), either alone or in combination, was associated with reduced sleep duration and a greater risk of vitamin D deficiency. Individuals with low vitamin D levels exposed to TRS experienced shorter sleep duration than those with normal vitamin D levels (p < 0.05). TRS and MZP were identified as crucial factors in patient outcomes when evaluating mixed exposures (p < 0.05). The results provide new data supporting a link between exposure to EDCs and insufficient sleep length. Additionally, they imply that a vitamin D shortage may worsen the sleep problems induced by EDCs.
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Affiliation(s)
| | | | | | | | | | - Shuqun Cheng
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing 400016, China; (R.Z.); (Z.C.); (T.Y.); (H.G.); (X.Y.)
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Dong R, Chang D, Shen C, Shen Y, Shen Z, Tian T, Wang J. Association of volatile organic compound exposure with metabolic syndrome and its components: a nationwide cross-sectional study. BMC Public Health 2024; 24:671. [PMID: 38431552 PMCID: PMC10909266 DOI: 10.1186/s12889-024-18198-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/23/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is a health issue consisting of multiple metabolic abnormalities. The impact of exposure to volatile organic compounds (VOCs) on MetS and its components remains uncertain. This study aimed to assess the associations of individual urinary metabolites of VOC (mVOCs) and mVOC mixtures with MetS and its components among the general adult population in the United States. METHODS A total of 5345 participants with eligible data were filtered from the 2011-2020 cycles of the National Health and Nutrition Examination Survey. Multivariate logistic regression models were applied to assess the associations of individual mVOCs with MetS and its components. The least absolute shrinkage and selection operator (LASSO) regression models were constructed to identify more relevant mVOCs. The weight quantile sum regression model was applied to further explore the links between mVOC co-exposure and MetS and its components. RESULTS The results indicated positive associations between multiple mVOCs and MetS, including CEMA, DHBMA, and HMPMA. CEMA was found to be positively correlated with all components of MetS. HMPMA was associated with elevated triglyceride (TG), reduced high-density lipoprotein, and fasting blood glucose (FBG) impairment; 3HPMA was associated with an elevated risk of high TG and FBG impairment; and DHBMA had positive associations with elevated TG and high blood pressure. The co-exposure of LASSO-selected mVOCs was associated with an increased risk of elevated TG, high blood pressure, and FBG impairment. CONCLUSION Positive associations of certain individual urinary mVOCs and mVOC mixtures with MetS and its components were observed by utilizing multiple statistical models and large-scale national data. These findings may serve as the theoretical basis for future experimental and mechanistic studies and have important implications for public health.
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Affiliation(s)
- Rui Dong
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, China
| | - Dongchun Chang
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, China
| | - Chao Shen
- Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
| | - Ya Shen
- Department of Integrated Service and Management, Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
| | - Zhengkai Shen
- Department of Integrated Service and Management, Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
| | - Ting Tian
- Jiangsu Provincial Center for Disease Control and Prevention, Institute of Nutrition and Food Safety, Nanjing, China.
| | - Jie Wang
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, China.
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Jin S, Liu L, Li S, Zhou Y, Huang C, Wang Z, Zhai Y. Removal of low concentration of perchlorate from natural water by quaternized chitosan sphere (CGQS): Efficiency and mechanism research. JOURNAL OF HAZARDOUS MATERIALS 2024; 466:133595. [PMID: 38290332 DOI: 10.1016/j.jhazmat.2024.133595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/20/2024] [Accepted: 01/20/2024] [Indexed: 02/01/2024]
Abstract
In this study, an innovative approach utilizing betaine as a raw material was employed to effectively modify the surface of chitosan with quaternary ammonium groups. X-ray photoelectron spectroscopy (XPS) and Fourier transform infrared spectrometer (FTIR) characterization showed that the quaternary ammonium groups on betaine were successfully loaded on the chitosan surface. The effects of dosage, pH, initial perchlorate concentration, temperature and co-existing anions on the removal efficiency of perchlorate were investigated. The saturated adsorption capacity of CGQS was 35.41 mg/g under natural condition. The impact of initial perchlorate concentrations and column flow rates on the column adsorption experiments were investigated, as well as natural water tests. Sterilizing performance experiments of CGQS were carried out innovatively. Under the condition of initial concentration of 0.5 mg/L, 9 BV/h (bed volume per hour), the effluent natural water was up to standard (≤0.07 mg/L) with a treatment capacity of 210 BV/g, and the sterilizing rate of CGQS was up to 97.02%. The proposed adsorption mechanisms involved surface pore adsorption, electrostatic adsorption of quaternary ammonium groups, and ion exchange between chloride and perchlorate ions. The CGQS prepared in this work had great potential for treating trace perchlorate contamination in natural water.
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Affiliation(s)
- Shiyun Jin
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
| | - Liming Liu
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China; Department of Civil and Earth Resources Engineering, Kyoto University, Kyoto 615-8246, Japan
| | - Shanhong Li
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
| | - Yin Zhou
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
| | - Cheng Huang
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
| | - Zhexian Wang
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
| | - Yunbo Zhai
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China.
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Li B, Zhang F, Jiang H, Wang C, Zhao Q, Yang W, Hu A. Adequate Intake of Dietary Fiber May Relieve the Detrimental Impact of Blood Lead on Dyslipidemia among US Adults: A Study of Data from the National Health and Nutrition Examination Survey Database. Nutrients 2023; 15:4434. [PMID: 37892509 PMCID: PMC10610417 DOI: 10.3390/nu15204434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/15/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
Lead (Pb) exposure is a well-established risk factor for dyslipidemia, and people are exposed to it in multiple ways daily. Dietary fiber is presumed to improve lipid metabolism disorders, but it is still unknown whether it can relieve the detrimental impact of Pb on dyslipidemia. We used publicly accessible data from the 2011-2016 cycles of the National Health and Nutrition Examination Survey (NHANES). A total of 2128 US adults were enrolled for the subsequent analysis. Heavy metal concentrations in blood were measured using inductively coupled plasma mass spectrometry (ICP-MS). A weighted logistic regression was conducted to calculate odds ratios (ORs) and 95% confidence intervals (CIs). The dose-response relationship between blood heavy metals and dyslipidemia was explored using a weighted restricted cubic spline (RCS) analysis. After fully adjusting for potential confounding factors (age, gender, race, education level, ratio of family income to poverty, marital status, body mass index, physical activity, waist circumference, smoke, alcohol drinking and history of metabolic syndrome, hypertension, and diabetes), a positive association between blood Pb levels and dyslipidemia risk was revealed (OR = 1.20, 95% CI: 1.03-1.40). Dietary fiber intake may significantly modify the association between blood Pb levels and dyslipidemia (p-interaction = 0.049), with a stronger association (OR = 1.26, 95% CI: 1.05-1.52) being revealed in individuals with an inadequate intake of dietary fiber (<14 g/1000 kcal/day), but a null association (OR = 1.01, 95% CI: 0.72-1.42) being observed in those with an adequate intake of dietary fiber (≥14 g/1000 kcal/day). Moreover, the weighted RCS analysis showed that compared with the average blood Pb exposure level (4.24 µg/dL), a lower blood Pb exposure level (3.08 µg/dL) may contribute to the risk of dyslipidemia in the group with an inadequate dietary fiber intake. Our findings suggest that Pb exposure in blood may be a risk factor for dyslipidemia. However, an adequate dietary fiber intake may offset the risk of dyslipidemia caused by blood Pb exposure. Since avoiding Pb exposure in daily life is difficult, increasing dietary fiber intake in the future might be a promising approach to alleviate dyslipidemia caused by Pb exposure.
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Affiliation(s)
| | | | | | | | | | | | - Anla Hu
- Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China; (B.L.); (F.Z.); (H.J.); (C.W.); (Q.Z.); (W.Y.)
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Wang D, Li Y, Duan H, Zhang S, Liu L, He Y, Chen X, Jiang Y, Ma Q, Yu G, Liu S, Yao N, Liang Y, Lin X, Liu L, Wan H, Shen J. Associations between blood essential metal mixture and serum uric acid: a cross-sectional study. Front Public Health 2023; 11:1182127. [PMID: 37670835 PMCID: PMC10476669 DOI: 10.3389/fpubh.2023.1182127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/02/2023] [Indexed: 09/07/2023] Open
Abstract
Introduction Although several studies have explored the associations between single essential metals and serum uric acid (SUA), the study about the essential metal mixture and the interactions of metals for hyperuricemia remains unclear. Methods We performed a cross-sectional study to explore the association of the SUA levels with the blood essential metal mixture, including magnesium (Mg), calcium (Ca), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn) in Chinese community-dwelling adults (n=1039). The multivariable linear regression, the weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were conducted to estimate the associations of blood essential metals with SUA levels and the BKMR model was also conducted to estimate the interactions of the essential metals on SUA. Results In the multivariable linear regression, the association of blood Mg, Mn, and Cu with SUA was statistically significant, both in considering multiple metals and a single metal. In WQS regression [β=13.59 (95%CI: 5.57, 21.60)] and BKMR models, a positive association was found between the mixture of essential metals in blood and SUA. Specifically, blood Mg and Cu showed a positive association with SUA, while blood Mn showed a negative association. Additionally, no interactions between individual metals on SUA were observed. Discussion In conclusion, further attention should be paid to the relationship between the mixture of essential metals in blood and SUA. However, more studies are needed to confirm these findings.
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Affiliation(s)
- Dongmei Wang
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Yue Li
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Hualin Duan
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Shuting Zhang
- Department of Endocrinology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Lingling Liu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Yajun He
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Xingying Chen
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Yuqi Jiang
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Qintao Ma
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Genfeng Yu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Siyang Liu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Nanfang Yao
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Yongqian Liang
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Xu Lin
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Lan Liu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Heng Wan
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Jie Shen
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
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Song S, Liu N, Wang G, Wang Y, Zhang X, Zhao X, Chang H, Yu Z, Liu X. Sex Specificity in the Mixed Effects of Blood Heavy Metals and Cognitive Function on Elderly: Evidence from NHANES. Nutrients 2023; 15:2874. [PMID: 37447200 DOI: 10.3390/nu15132874] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/17/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
The way that males and females react to environmental exposures and negative impacts on their neurological systems is often different. Although previous research has examined the cognitively impairing effects of solitary metal exposures, the relationship between metal mixtures and cognitive function, particularly when considering an individual's sex, remains elusive. This study aimed to investigate the sex differences in the association between multiple metal combinations and cognitive function in older Americans. This research employed the 2011-2014 NHANES survey of elderly Americans. The association between five mixed metals and four cognitive tests (the animal fluency test (AFT), the digit symbol substitution test (DSST), the instant recall test (IRT), and the delayed recall test (DRT)) were investigated with generalized linear regression model (GLM), Bayesian kernel machine regression model (BKMR), weighted quantile sum regression model (WQS), and quantile g-computation regression model (Qgcomp). A total of 1833 people, including 883 males and 950 females, enrolled in this cross-sectional study. We discovered that blood lead and blood cadmium were negatively associated with cognitive performance, while blood selenium demonstrated a positive association with cognitive function in older people. The negative relationship of heavy metal combinations on cognitive function might be somewhat reduced or even reversed via selenium. The IRT, AFT, and DSST are three of the four cognitive tests where men had more dramatic positive or negative results. There was a sex-specific connection between blood metal ratios and cognitive function among older Americans, as evidenced by the more significant relationship between mixed metals and cognitive performance in men (either positively or negatively). These results emphasize the impacts of ambient heavy metal exposure on cognitive function by employing sex-specific methods.
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Affiliation(s)
- Shuaixing Song
- Center for Clinical Single-Cell Biomedicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Nan Liu
- Institute of Environment and Health, South China Hospital of Shenzhen University, Shenzhen 518000, China
| | - Guoxu Wang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yulin Wang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Xin Zhao
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Hui Chang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Zengli Yu
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaozhuan Liu
- Center for Clinical Single-Cell Biomedicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
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Guo X, Zhao D, Meng J, Hu W, Wu B, Wang X, Su W, Meng M, Qu G, Sun Y. Association of a mixture of phthalates and phenols with frailty among middle-aged and older adults: A population-based cross-sectional study. CHEMOSPHERE 2023:139144. [PMID: 37302498 DOI: 10.1016/j.chemosphere.2023.139144] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/01/2023] [Accepted: 06/04/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND Frailty is a complex geriatric syndrome caused by degenerative changes in the body or various chronic diseases. The use of personal care and consumer products is associated with a wide range of health outcomes, but its relationship with frailty remains unknown. Therefore, our primary aim was to explore the potential links between exposure to phenols and phthalates, either separately or in combination, and frailty. METHODS The exposure levels of phthalates and phenols were evaluated through the measurement of metabolites in urine samples. Frailty state was assessed by a 36-item frailty index with values ≥ 0.25 indicating frailty. Weighted logistic regression was used to explore the relationship between individual chemical exposure and frailty. In addition, multi-pollutant strategies (WQS, Qgcomp, BKMR) were used to examine the joint effect of chemical mixture on frailty. A series of subgroup analyses and sensitivity analyses were conducted as well. RESULTS In the multivariate logistic regression model, each unit increase in natural log-transformed BPA (OR: 1.21; 95%CI: 1.04, 1.40), MBP (OR: 1.25; 95%CI: 1.07, 1.46), MBzP (OR: 1.18; 95%CI: 1.03, 1.36), and MiBP (OR: 1.19; 95%CI: 1.03, 1.37) were significantly associated with higher odds of frailty. The results of the WQS and Qgcomp indicated that increasing quartiles of chemical mixture was associated with odds of frailty with ORs of 1.29 (95%CI: 1.01, 1.66) and 1.37 (95%CI: 1.06, 1.76). The weight of MBzP is dominant in both the WQS index and the positive weight of Qgcomp. In the BKMR model, the cumulative effect of chemical mixture was positively correlated with the prevalence of frailty. CONCLUSIONS In summary, higher levels of BPA, MBP, MBzP, and MiBP are significantly associated with higher odds of frailty. Our study provides preliminary evidence that phenol and phthalate biomarker mixture is positively associated with frailty, with MBzP contributing most to the positive association.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Dongdong Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China
| | - Jia Meng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Wenjing Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Birong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xingyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Wenqi Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Muzi Meng
- UK Program Site, American University of the Caribbean School of Medicine, Vernon Building Room 64, Sizer St, Preston PR1 1JQ, United Kingdom; Bronxcare Health System, 1650 Grand Concourse, The Bronx, NY 10457, USA
| | - Guangbo Qu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
| | - Yehuan Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
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