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Oyebamiji AO, Olaolorun OA, Popoola OJ, Zafar T. Assessment of heavy metal pollution in soils of Jebba Area, Nigeria: Concentrations, source analysis and implications for ecological and human health risks. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:173860. [PMID: 38871321 DOI: 10.1016/j.scitotenv.2024.173860] [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: 04/13/2024] [Accepted: 06/06/2024] [Indexed: 06/15/2024]
Abstract
This comprehensive research investigates heavy metal contamination in the rapidly developing town of Jebba in north-central Nigeria, which is essential to the nation's economy due to its agro-allied and non-agro-allied businesses. The research focuses on soil samples, collecting and analyzing 137 surface soil samples to assess the presence of 25 distinct metals. After statistical analysis and simple mathematical models are applied to the data, the amounts of harmful metals and their probable causes are revealed. The study identifies geogenic and anthropogenic origins of toxic metals, with some elements exceeding average crustal concentrations. Non-homogeneous metal dispersion is shown in the region by spatial distribution maps. The geo-accumulation index reflects various amounts of contamination, with particular metals posing significant threats to the ecosystem. Additionally, the study compares results with worldwide studies, revealing distinct pollution patterns in Jebba. The research delves into weathering processes, employing chemical indices to quantify the level of soil weathering and uncovering a prominent role of geogenic activities in metal release. Bivariate correlation and principal component analysis indicate links and possibly common sources among heavy metals, emphasizing anthropogenic contributions. In addition, assessments of ecological and medical risks are conducted, indicating possible threats to human wellness and the ecosystem. Children, in particular, are regarded as especially vulnerable to non-carcinogenic health concerns, with various heavy metals posing potential threats through diverse exposure routes. The study emphasizes the need to implement remediation procedures to address the risks to public health and the environment related to metal pollution.
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Affiliation(s)
- Abiola Omotayo Oyebamiji
- State Key Laboratory of Ore Deposit Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China; Department of Science Laboratory Technology (Geology/Mining option), Ekiti State University, P.M.B. 5363, Ado-Ekiti, Nigeria.
| | | | | | - Tehseen Zafar
- School of Earth and Space Sciences, Peking University, Beijing, China.
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Soomro MH, England-Mason G, Reardon AJF, Liu J, MacDonald AM, Kinniburgh DW, Martin JW, Dewey D. Maternal exposure to bisphenols, phthalates, perfluoroalkyl acids, and trace elements and their associations with gestational diabetes mellitus in the APrON cohort. Reprod Toxicol 2024; 127:108612. [PMID: 38782143 DOI: 10.1016/j.reprotox.2024.108612] [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: 11/14/2023] [Revised: 05/08/2024] [Accepted: 05/18/2024] [Indexed: 05/25/2024]
Abstract
The increasing global prevalence of gestational diabetes mellitus (GDM) has been hypothesized to be associated with maternal exposure to environmental chemicals. Here, among 420 women participating in the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study, we examined associations between GDM and second trimester blood or urine concentrations of endocrine disrupting chemicals (EDCs): bisphenol-A (BPA), bisphenol-S (BPS), twelve phthalate metabolites, eight perfluoroalkyl acids (PFAAs), and eleven trace elements. Fifteen (3.57%) of the women were diagnosed with GDM, and associations between the environmental chemical exposures and GDM diagnosis were examined using multiple logistic and LASSO regression analyses in single- and multi-chemical exposure models, respectively. In single chemical exposure models, BPA and mercury were associated with increased odds of GDM, while a significant inverse association was observed for zinc. Double-LASSO regression analysis selected mercury (AOR: 1.51, CI: 1.12-2.02), zinc (AOR: 0.017, CI: 0.0005-0.56), and perfluoroundecanoic acid (PFUnA), a PFAAs, (AOR: 0.43, CI: 0.19-0.94) as the best predictors of GDM. The combined data for this Canadian cohort suggest that second trimester blood mercury was a robust predictor of GDM diagnosis, whereas blood zinc and PFUnA were protective factors. Research into mechanisms that underlie the associations between mercury, zinc, PFUnA, and the development of GDM is needed.
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Affiliation(s)
- Munawar Hussain Soomro
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Gillian England-Mason
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Anthony J F Reardon
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Jiaying Liu
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Amy M MacDonald
- Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada
| | - David W Kinniburgh
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada; Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada
| | - Jonathan W Martin
- Science for Life Laboratory, Department of Analytical Chemistry and Environmental Sciences, Stockholm University, Stockholm, Sweden
| | - Deborah Dewey
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
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Song J, Wu Y, Ma Y, He J, Zhu S, Tang Y, Tang J, Hu M, Hu L, Zhang L, Wu Q, Liu J, Liang Z. A prospective cohort study of multimetal exposure and risk of gestational diabetes mellitus. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174568. [PMID: 38977093 DOI: 10.1016/j.scitotenv.2024.174568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 07/03/2024] [Accepted: 07/04/2024] [Indexed: 07/10/2024]
Abstract
The relationship between co-exposure to multiple metals and gestational diabetes mellitus (GDM) and the mechanisms involved are poorly understood. In this nested case-control study, 228 GDM cases and 456 matched controls were recruited, and biological samples were collected at 12-14 gestational weeks. The urinary concentrations of 10 metals and 8-hydroxydeoxyguanosine (8-OHdG) as well as the serum levels of malondialdehyde (MDA) and advanced glycation end products (AGEs) were determined to assess the association of metals with GDM risk and the mediating effects of oxidative stress. Urinary Ti concentration was significantly and positively associated with the risk of GDM (odds ratio [OR]:1.45, 95 % confidence interval [CI]: 1.12, 1.88), while Mn and Fe were negatively associated with GDM risk (OR: 0.67, 95 % CI: 0.50, 0.91 or OR: 0.61, 95 % CI: 0.47, 0.80, respectively). A significant negative association was observed between Mo and GDM risk, specifically in overweight and obese pregnant women. Bayesian kernel machine regression showed a significant negative joint effect of the mixture of 10 metals on GDM risk. The adjusted restricted cubic spline showed a protective role of Mn and Fe in GDM risk (P < 0.05). A significant negative association was observed between essential metals and GDM risk in quantile g-computation analysis (P < 0.05). Mediation analyses showed a mediating effect of MDA on the association between Ti and GDM risk, with a proportion of 8.7 % (P < 0.05), and significant direct and total effects on Ti, Mn, and Fe. This study identified Ti as a potential risk factor and Mn, Fe, and Mo as potential protective factors against GDM, as well as the mediating effect of lipid oxidation.
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Affiliation(s)
- Jiajia Song
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Yihui Wu
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Yubing Ma
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China; Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Juhui He
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Shuqi Zhu
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Yibo Tang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Jiayue Tang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Mengjia Hu
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Luyao Hu
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Lixia Zhang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Qi Wu
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
| | - Jing Liu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China; Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Zhaoxia Liang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.
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Yu J, Wang C, Liu Y, Tao T, Yang L, Liu R, Liang D, Zhang Y, He Z, Sun Y. A comparative study of urinary levels of multiple metals and neurotransmitter correlations between GDM and T2DM populations. J Trace Elem Med Biol 2024; 84:127447. [PMID: 38733832 DOI: 10.1016/j.jtemb.2024.127447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/26/2024] [Accepted: 04/04/2024] [Indexed: 05/13/2024]
Abstract
OBJECTIVE The pathogenesis of GDM and T2DM are closely related to various metals in vivo, and changes in the concentration of these metal exposures can lead to neuropathy through the DNA damage pathway caused by the accumulation of ROS. METHOD Urine samples were analyzed for heavy metals and trace elements by ICP-MS, neurotransmitter metabolites by HPLC, 8-OH-dG by HPLC-MS and metabolomics by UPLC-MS. RESULT Cd and Hg were risk factors for T2DM. There was a positive correlation between 8-OH-dG and neurotransmitter metabolites in both two populations. For GDM, the metabolite with the largest down-regulation effect was desloratadine and the largest up-regulation effect was D-glycine. That tyrosine and carbon metabolites were upregulated in the GDM population and downregulated in the T2DM population. CONCLUSION The BMI, urinary Cd and Hg endo-exposure levels correlated with elevated blood glucose, and the latter may cause changes in the DNA damage marker 8-OH-dG in both study populations and trigger common responses to neurological alterations changes in the neurotransmitter. Tyrosine, carbonin metabolites, alanine, aspartate, and glutamate were signature metabolites that were altered in both study populations. These indicators and markers have clinical implications for monitoring and prevention of neurological injury in patients with GDM and T2DM.
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Affiliation(s)
- Jia Yu
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Caimei Wang
- Department of Laboratory Medicine, Affiliated Hospital of Guilin medical University, Guilin, China
| | - Yun Liu
- Department of Gynaecolog, Tangshan Central Hospital, Tangshan, Hebei 063000, China
| | - Tao Tao
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Liuxue Yang
- Department of Endocrinology, The Second Affiliated Hospital of Guilin Medical College, China
| | - Ruxi Liu
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Dan Liang
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Ying Zhang
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Zhuohong He
- Department of Toxicology, Guilin Medical University, Guilin 541004, China
| | - Yi Sun
- Department of Toxicology, Guilin Medical University, Guilin 541004, China.
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Wu T, Luo C, Li T, Zhang C, Chen HX, Mao YT, Wu YT, Huang HF. Effects of exposure to multiple metallic elements in the first trimester of pregnancy on the risk of preterm birth. MATERNAL & CHILD NUTRITION 2024:e13682. [PMID: 38925571 DOI: 10.1111/mcn.13682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/08/2024] [Accepted: 05/29/2024] [Indexed: 06/28/2024]
Abstract
Exposure to certain heavy metals has been demonstrated to be associated with a higher risk of preterm birth (PTB). However, studies focused on the effects of other metal mixtures were limited. A nested case‒control study enrolling 94 PTB cases and 282 controls was conducted. Metallic elements were detected in maternal plasma collected in the first trimester using inductively coupled plasma‒mass spectrometry. The effect of maternal exposure on the risk of PTB was investigated using logistic regression, least absolute shrinkage and selection operator, restricted cubic spline (RCS), quantile g computation (QGC) and Bayesian kernel machine regression (BKMR). Vanadium (V) and arsenic (As) were positively associated with PTB risk in the logistic model, and V remains positively associated in the multi-exposure logistic model. QGC analysis determined V (69.42%) and nickel (Ni) (70.30%) as the maximum positive and negative contributors to the PTB risk, respectively. BKMR models further demonstrated a positive relationship between the exposure levels of the mixtures and PTB risk, and V was identified as the most important independent variable among the elements. RCS analysis showed an inverted U-shape effect of V and gestational age, and plasma V more than 2.18 μg/L was considered a risk factor for shortened gestation length. Exposure to metallic elements mixtures consisting of V, As, cobalt, Ni, chromium and manganese in the first trimester was associated with an increased risk of PTB, and V was considered the most important factor in the mixtures in promoting the incidence of PTB.
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Affiliation(s)
- Ting Wu
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Chuan Luo
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Tao Li
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Chen Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Hui-Xi Chen
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Yi-Ting Mao
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Yan-Ting Wu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Reproduction and Development, Shanghai, China
| | - He-Feng Huang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Reproduction and Development, Shanghai, China
- Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences (No. 2019RU056), Shanghai, China
- Key Laboratory of Reproductive Genetics (Ministry of Education), Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- State Key Laboratory of Cardiology, Shanghai, China
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Alegría-Torres JA, Rocha-Amador DO, Pérez-Rodríguez RY, Rodríguez-Felipe VM, Cauich-Díaz M, Ponce-Noyola P, Carrizales-Yáñez L. Pilot Monitoring of Lead in Umbilical Cord Blood of Newborns Associated With the Use of Glazed Ceramics from Guanajuato, Mexico. Biol Trace Elem Res 2024; 202:2403-2409. [PMID: 37702961 DOI: 10.1007/s12011-023-03843-5] [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: 06/01/2023] [Accepted: 09/01/2023] [Indexed: 09/14/2023]
Abstract
The use of lead-glazed pottery for cooking and storing food, a widespread practice in Mexico, represents a risk of exposure to lead from the human intrauterine stage. Therefore, a pilot study was carried out by means of the measurement of lead in umbilical cord blood by inductively coupled plasma mass spectrometry (ICP-MS) including 69 newborns from the Mexican state capital of Guanajuato, Guanajuato City, where the use of glazed clay is still widespread. Lifestyle and sociodemographic data were collected by interviewing the participating mothers. Hematological parameters and the anthropometry of the newborns and their mothers were analyzed; likewise, the G177C polymorphism in the ALAD gene was genotyped by PCR-RFLP as a marker of genetic vulnerability to lead. The geometric mean of lead in umbilical cord blood was 0.7 µg/dL (< limit of detection = 0.01-28.22). Boys presented higher values than girls (p = 0.03). Only 5.8% of these were above the safety value of the US Centers for Disease Control and Prevention (CDC) of 3.5 µg/dL. Correlations among lead concentrations, maternal age, weeks of gestation, newborn anthropometry, and hematological parameters were not found; however, the participating mothers who reported using glazed ceramics for cooking or storing food had the highest cord-blood lead concentrations (p = 0.04). Regarding genotyping, 97% had ALAD 1, while 3% had ALAD 1, 2; unfortunately, the sample size did not allow analysis of genetic vulnerability to lead. The preparation and conservation of food in handcrafted clay pottery increased the risk of having cord-blood lead values higher than those recommended by the CDC of 3.5 µg/dL (OR = 5; 95% CI:1.3-23; p = 0.01). Our preliminary results suggest that there continues to be intrauterine exposure to lead in Guanajuato.
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Affiliation(s)
- Jorge Alejandro Alegría-Torres
- Departamento de Farmacia, División de Ciencias Naturales Y Exactas, Campus Guanajuato, Universidad de Guanajuato, Noria Alta S/N, Edificio I, C.P. 36050, Guanajuato, Guanajuato, Mexico.
| | - Diana Olivia Rocha-Amador
- Departamento de Farmacia, División de Ciencias Naturales Y Exactas, Campus Guanajuato, Universidad de Guanajuato, Noria Alta S/N, Edificio I, C.P. 36050, Guanajuato, Guanajuato, Mexico
| | - Rebeca Yazmín Pérez-Rodríguez
- Departamento de Química, División de Ciencias Naturales Y Exactas, Campus Guanajuato, Universidad de Guanajuato, Noria Alta S/N, C.P. 36050, Guanajuato, Mexico
| | - Valeria Monserrat Rodríguez-Felipe
- Departamento de Farmacia, División de Ciencias Naturales Y Exactas, Campus Guanajuato, Universidad de Guanajuato, Noria Alta S/N, Edificio I, C.P. 36050, Guanajuato, Guanajuato, Mexico
| | - Mayra Cauich-Díaz
- Departamento de Biología, División de Ciencias Naturales Y Exactas, Campus Guanajuato, Universidad de Guanajuato, Noria Alta S/N, C.P. 36050, Guanajuato, Mexico
| | - Patricia Ponce-Noyola
- Departamento de Biología, División de Ciencias Naturales Y Exactas, Campus Guanajuato, Universidad de Guanajuato, Noria Alta S/N, C.P. 36050, Guanajuato, Mexico
| | - Leticia Carrizales-Yáñez
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, Av. Sierra Leona #550, Lomas de San Luis, C.P. 78210, San Luis Potosí, Mexico
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Wu W, Ren J, Wang J, Wang J, Yu D, Zhang Y, Zeng F, Huang B. Metalloestrogens exposure and risk of gestational diabetes mellitus: Evidence emerging from the systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2024; 248:118321. [PMID: 38307186 DOI: 10.1016/j.envres.2024.118321] [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: 12/01/2023] [Revised: 01/04/2024] [Accepted: 01/25/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND Metalloestrogens are metals and metalloid elements with estrogenic activity found everywhere. Their impact on human health is becoming more apparent as human activities increase. OBJECTIVE Our aim is to conduct a comprehensive systematic review and meta-analysis of observational studies exploring the correlation between metalloestrogens (specifically As, Sb, Cr, Cd, Cu, Se, Hg) and Gestational Diabetes Mellitus (GDM). METHODS PubMed, Web of Science, and Embase were searched to examine the link between metalloestrogens (As, Sb, Cr, Cd, Cu, Se, and Hg) and GDM until December 2023. Risk estimates were derived using random effects models. Subgroup analyses were conducted based on study countries, exposure sample, exposure assessment method, and detection methods. Sensitivity analyses and adjustments for publication bias were carried out to assess the strength of the findings. RESULTS Out of the 389 articles identified initially, 350 met our criteria and 33 were included in the meta-analysis, involving 141,175 subjects (9450 cases, 131,725 controls). Arsenic, antimony, and copper exposure exhibited a potential increase in GDM risk to some extent (As: OR = 1.28, 95 % CI [1.08, 1.52]; Sb: OR = 1.73, 95 % CI [1.13, 2.65]; Cu: OR = 1.29, 95 % CI [1.02, 1.63]), although there is a high degree of heterogeneity (As: Q = 52.93, p < 0.05, I2 = 64.1 %; Sb: Q = 31.40, p < 0.05, I2 = 80.9 %; Cu: Q = 21.14, p < 0.05, I2 = 71.6 %). Conversely, selenium, cadmium, chromium, and mercury exposure did not exhibit any association with the risk of GDM in our study. DISCUSSION Our research indicates that the existence of harmful metalloestrogens in the surroundings has a notable effect on the likelihood of GDM. Hence, we stress the significance of environmental elements in the development of GDM and the pressing need for relevant policies and measures.
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Affiliation(s)
- Wanxin Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, MOE Key Laboratory of Population Health Across Life Cycle, NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Junjie Ren
- Department of Medical Psychology, School of Mental Health and Psychological Science, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Juan Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, MOE Key Laboratory of Population Health Across Life Cycle, NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jiamei Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, MOE Key Laboratory of Population Health Across Life Cycle, NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Deshui Yu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, MOE Key Laboratory of Population Health Across Life Cycle, NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yan Zhang
- School of Biology and Food Engineering, Hefei Normal University, Hefei, 230092, Anhui, China.
| | - Fa Zeng
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, 518109, Guangdong, China.
| | - Binbin Huang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, MOE Key Laboratory of Population Health Across Life Cycle, NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, 230032, Anhui, China.
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He S, Jiang T, Zhang D, Li M, Yu T, Zhai M, He B, Yin T, Wang X, Tao F, Yao Y, Ji D, Yang Y, Liang C. Association of exposure to multiple heavy metals during pregnancy with the risk of gestational diabetes mellitus and insulin secretion phase after glucose stimulation. ENVIRONMENTAL RESEARCH 2024; 248:118237. [PMID: 38244971 DOI: 10.1016/j.envres.2024.118237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/02/2024] [Accepted: 01/16/2024] [Indexed: 01/22/2024]
Abstract
BACKGROUND Epidemiological evidence for the association between heavy metals exposure during pregnancy and gestational diabetes mellitus (GDM) is still inconsistent. Additionally, that is poorly understood about the potential cause behind the association, for instance, whether heavy metal exposure is related to the change of insulin secretion phase is unknown. OBJECTIVES We aimed to explore the relationships of blood levels of arsenic (As), lead (Pb), thallium (Tl), nickel (Ni), cadmium (Cd), cobalt (Co), barium (Ba), chromium (Cr), mercury (Hg) and copper (Cu) during early pregnancy with the odds of GDM, either as an individual or a mixture, as well as the association of the metals with insulin secretion phase after glucose stimulation. METHODS We performed a nested case-control study consisting of 302 pregnant women with GDM and 302 controls at the First Affiliated Hospital of Anhui Medical University in Hefei, China. Around the 12th week of pregnancy, blood samples of pregnant women were collected and levels of As, Pb, Tl, Ni, Cd, Co, Ba, Cr, Hg and Cu in blood were measured. An oral glucose tolerance test (OGTT) was done in each pregnant woman during the 24-28th week of pregnancy to diagnose GDM and C-peptide (CP) levels during OGTT were measured simultaneously. The four metals (As, Pb, Tl and Ni) with the highest effect on odds of GDM were selected for the subsequent analyses via the random forest model. Conditional logistic regression models were performed to analyze the relationships of blood As, Pb, Tl and Ni levels with the odds of GDM. The weighted quantile sum (WQS) regression and bayesian kernel machine regression (BKMR) were used to assess the joint effects of levels of As, Pb, Tl and Ni on the odds of GDM as well as to evaluate which metal level contributed most to the association. Latent profile analysis (LPA) was conducted to identify profiles of glycemic and C-peptide levels at different time points. Multiple linear regression models were employed to explore the relationships of metals with glycaemia-related indices (fasting blood glucose (FBG), 1-hour blood glucose (1h BG), 2-hour blood glucose (2h BG), fasting C-peptide (FCP), 1-hour C-peptide (1h CP), 2-hour C-peptide (2h CP), FCP/FBG, 1h CP/1h BG, 2h CP/2h BG, area under the curve of C-peptide (AUCP), area under the curve of glucose (AUCG), AUCP/AUCG and profiles of BGs and CPs, respectively. Mixed-effects models with repeated measures data were used to explore the relationship between As (the ultimately selected metal) level and glucose-stimulated insulin secretion phase. The mediation effects of AUCP and AUCG on the association of As exposure with odds of GDM were investigated using mediation models. RESULTS The odds of GDM in pregnant women increased with every ln unit increase in blood As concentration (odds ratio (OR) = 1.46, 95% confidence interval (CI) = 1.04-2.05). The joint effects of As, Pb, Tl and Ni levels on the odds of GDM was statistically significant when blood levels of four metals were exceeded their 50th percentile, with As level being a major contributor. Blood As level was positively associated with AUCG and the category of glucose latent profile, the values of AUCG were much higher in GDM group than those in non-GDM group, which suggested that As exposure associated with the odds of GDM may be due to that As exposure was related to the impairment of glucose tolerance among pregnant women. The significant and positive relationships of As level with AUCP, CP latent profile category, 2h CP and 2h CP/2h BG were observed, respectively; and the values of 1h CP/1h BG and AUCP/AUCG were much lower in GDM group than those in non-GDM group, which suggested that As exposure may not relate to the impairment of insulin secretion (pancreatic β-cell function) among pregnant women. The relationships between As level and 2h CP as well as 2h CP/2h BG were positive and significant; additionally, the values of 2h CP/2h BG in GDM group were comparable with those in non-GDM group; the peak value of CP occurred at 2h in GDM group, as well as the values of 2h CP/2h BG in high As exposure group were much higher than those in low As exposure group, which suggested that As exposure associated with the increased odds of GDM may be due to that As exposure was related to the change of insulin secretion phase (delayment of the peak of insulin secretion) among pregnant women. In addition, AUCP mediated 11% (p < 0.05) and AUCG mediated 43% (p < 0.05) of the association between As exposure and the odds of GDM. CONCLUSION Our results suggested that joint exposure to As, Pb, Tl and Ni during early pregnancy was positively associated with the odds of GDM, As was a major contributor; and the association of environmental As exposure with the increased odds of GDM may be due to that As exposure was related to the impairment of glucose tolerance and change of insulin secretion phase after glucose stimulation (delayment of the peak of insulin secretion) among pregnant women.
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Affiliation(s)
- Shitao He
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Tingting Jiang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Dongyang Zhang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Mengzhu Li
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Tao Yu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China
| | - Muxin Zhai
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China
| | - Bingxia He
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Tao Yin
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China
| | - Xin Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China
| | - Fangbiao Tao
- 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; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Institute of Translational Medicine, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yuyou Yao
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
| | - Dongmei Ji
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, 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; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Engineering Research Center of Biopreservation and Artificial Organs, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Institute of Translational Medicine, No 81 Meishan Road, Hefei, 230032, Anhui, China.
| | - Yuanyuan Yang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
| | - Chunmei Liang
- School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, 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; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Province Key Laboratory of Reproductive Health and Genetics, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Engineering Research Center of Biopreservation and Artificial Organs, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Institute of Translational Medicine, No 81 Meishan Road, Hefei, 230032, Anhui, China.
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9
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Mitra T, Gulati R, Ramachandran K, Rajiv R, Enninga EAL, Pierret CK, Kumari R S, Janardhanan R. Endocrine disrupting chemicals: gestational diabetes and beyond. Diabetol Metab Syndr 2024; 16:95. [PMID: 38664841 PMCID: PMC11046910 DOI: 10.1186/s13098-024-01317-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
Gestational Diabetes Mellitus (GDM) has been on the rise for the last two decades along with the growing incidence of obesity. The ubiquitous use of Endocrine-Disrupting Chemicals (EDCs) worldwide has been associated with this increase in GDM incidence. Epigenetic modifications such as DNA methylation, histone acetylation, and methylation have been associated with prenatal exposure to EDCs. EDC exposure can also drive a sustained disruption of the hypothalamus-pituitary-thyroid axis and various other signaling pathways such as thyroid signaling, PPARγ signaling, PI3K-AKT signaling. This disruption leads to impaired glucose metabolism, insulin resistance as well as β-cell dysfunction, which culminate into GDM. Persistent EDC exposure in pregnant women also increases adipogenesis, which results in gestational weight gain. Importantly, pregnant mothers transfer these EDCs to the fetus via the placenta, thus leading to other pregnancy-associated complications such as intrauterine growth restriction (IUGR), and large for gestational age neonates. Furthermore, this early EDC exposure of the fetus increases the susceptibility of the infant to metabolic diseases in early life. The transgenerational impact of EDCs is also associated with higher vascular tone, cognitive aberrations, and enhanced susceptibility to lifestyle disorders including reproductive health anomalies. The review focuses on the impact of environmental toxins in inducing epigenetic alterations and increasing the susceptibility to metabolic diseases during pregnancy needs to be extensively studied such that interventions can be developed to break this vicious cycle. Furthermore, the use of EDC-associated ExomiRs from the serum of patients can help in the early diagnosis of GDM, thereby leading to triaging of patients based on increasing risk factor of the clinicopathological condition.
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Affiliation(s)
- Tridip Mitra
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Richa Gulati
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Krithika Ramachandran
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Rohan Rajiv
- Dietrich School of Arts and Sciences, University of Pittsburgh, 15260, Pittsburgh, PA, USA
| | | | - Chris K Pierret
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA
| | - Sajeetha Kumari R
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India
| | - Rajiv Janardhanan
- Division of Medical Research, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, 603 203, Kattankulathur, Tamil Nadu, India.
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10
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Ding A, Wan H, Peng J, Wang H, Zhu S, Dong X. Role of placental barrier on trace element transfer in maternal fetal system and hypertensive disorders complicating pregnancy and gestational diabetes mellitus. BMC Pregnancy Childbirth 2023; 23:867. [PMID: 38104073 PMCID: PMC10724887 DOI: 10.1186/s12884-023-06183-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 12/08/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND Hypertensive disorders complicating pregnancy (HDCP) and gestational diabetes mellitus (GDM) can affect the placental barrier function to varying degrees. However, current studies show that the transfer and distribution characteristics of trace elements in the maternal-fetal system are still unclear. This study investigated the effect of the placental barrier on the transfer of trace elements from mother to fetus and its relationship with HDCP and GDM. METHODS A case-control method was used in this study. 140 pairs of samples were collected; 60 were from healthy pregnant women, and 80 were from patients with pregnancy complications. The contents of trace elements in paired samples were determined by inductively coupled plasma-mass spectrometry (ICP-MS). SPSS software was used to analyze the differences in trace element levels in matched samples of each group. The correlations were analyzed based on Pearson's correlation factor (r). RESULTS The distribution characteristics of Fe content in the pathological group (HDCP group and GDM group) were the same as those in the normal group (umbilical cord blood > maternal blood > placenta), but there was no significant difference in the iron content in maternal blood and cord blood of pathological group. The distribution characteristics of Mn content in the pathological group (placenta > umbilical cord blood > maternal blood) were changed compared with those in the normal group (placenta > maternal blood > umbilical cord blood). In addition, the placental Cr content and cord blood Cr and Ni content of the pathological group were higher than those of the normal group. HDCP placental Cr and GDM placental Fe levels were significantly correlated with the Apgar score. CONCLUSIONS The transfer of Fe and Mn and the placental barrier function of Cr and Ni in the maternal-fetal system of HDCP and GDM are significantly altered, which directly or indirectly increases the maternal and fetal health risk.
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Affiliation(s)
- Ailing Ding
- Faculty of Life Science and Technology, Kunming University of Science & Technology, Kunming, 650500, China
- The Obstetrical Department of the First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China
| | - Huimin Wan
- Medical school, Kunming University of Science and Technology, Kunming, 650500, China
- The Obstetrical Department of the First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China
| | - Juan Peng
- The Obstetrical Department of the First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China
| | - Huizi Wang
- The Obstetrical Department of the First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China
| | - Shaodan Zhu
- The Obstetrical Department of the First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China
| | - Xudong Dong
- The Obstetrical Department of the First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China.
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11
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Deng G, Chen H, Liu Y, Zhou Y, Lin X, Wei Y, Sun R, Zhang Z, Huang Z. Combined exposure to multiple essential elements and cadmium at early pregnancy on gestational diabetes mellitus: a prospective cohort study. Front Nutr 2023; 10:1278617. [PMID: 38125730 PMCID: PMC10730676 DOI: 10.3389/fnut.2023.1278617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
Background Minerals and trace elements were involved in the pathogenesis and progression of diabetes. However, the association of mixed exposure to essential elements and toxic elements with gestational diabetes mellitus (GDM) is poorly understood. Objective This study aims to examine the associations between serum calcium (Ca), iron (Fe), zinc (Zn), copper (Cu), magnesium (Mg), and cadmium (Cd) concentrations in early pregnancy and GDM risk in Chinese pregnant women. Method A total of 1,168 pregnant women were included in this prospective cohort study. The concentrations of serum elements were measured using the polarography method before 14 gestational weeks and an oral glucose tolerance test was conducted at 24-28 gestational weeks to diagnose GDM. Binary logistic regression analysis and restricted cubic spline were applied to evaluate the association between serum individual element and GDM. Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) regression were used to assess the associations between mixed essential elements and Cd exposure and GDM risk. Results The mean concentrations of Zn (124.65 vs. 120.12 μmol/L), Fe (135.26 vs. 132.21 μmol/L) and Cu (23.33 vs. 23.03 μmol/L) in the GDM group were significantly higher than those in the control group. Single-element modeling results suggested that second and fourth-quartile maternal Zn and Fe concentration, third and fourth-quartile Cu concentration and fourth-quartile Ca concentration were associated with an increased risk of GDM compared to first-quartile values. Restricted cubic spline analysis showed U-shaped and non-linear relationships between Cd and GDM. According to the BKMR models and WQS analyses, a six-element mixture was significantly and positively associated with the risk of GDM. Additionally, Cd, Zn, and Cu contributed the most strongly to the association. Conclusion Serum Zn, Cu, Fe, and Ca exposure during early pregnancy showed a positive association with GDM in the individual evaluation. The multiple-evaluation showed that high levels of elements mixture, particularly Cd, Zn, and Cu, may promote the development of GDM.
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Affiliation(s)
- Guifang Deng
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Hengying Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Liu
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, China
| | - Yingyu Zhou
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xiaoping Lin
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yuanhuan Wei
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Ruifang Sun
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Zheqing Zhang
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhenhe Huang
- Geriatric Medicine Department, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
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12
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Sun Y, Zhang Y. Blood manganese level and gestational diabetes mellitus: a systematic review and meta-analysis. J OBSTET GYNAECOL 2023; 43:2266646. [PMID: 37921106 DOI: 10.1080/01443615.2023.2266646] [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: 05/26/2023] [Accepted: 09/29/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Previous studies evaluating the relationship between blood manganese (Mn) level and gestational diabetes mellitus (GDM) in pregnant women showed inconsistent results. A systematic review and meta-analysis was therefore performed to investigate the above association. METHODS Relevant observational studies were obtained by search of electronic databases including Medline, Embase, Cochrane Library and Web of Science from database inception to 10 March 2023. Two authors independently performed database search, literature identification and data extraction. A randomised-effects model was selected to pool the data by incorporating the influence of potential heterogeneity. Subgroup analysis was performed to evaluate the influence of study characteristics on the results of the meta-analysis. RESULTS Six datasets from five observational studies, involving 91,249 pregnant women were included in the meta-analysis. Among the participants, 3597 (3.9%) were diagnosed as GDM. Overall, pooled results showed that a high blood level of Mn was associated with a higher risk of GDM (compared between women with highest versus lowest category blood Mn, odds ratio: 1.31, 95% confidence interval: 1.19-1.44, p < .001) with no significant heterogeneity (p for Cochrane Q-test = 0.93, I2 = 0%). Subgroup analyses according to study design, mean maternal age, matrix or methods for measuring blood Mn, and the incidence of GDM also showed consistent results (p for subgroup difference all >.05). CONCLUSIONS Results of the meta-analysis suggest that a high blood Mn level may be a risk factor of GDM in pregnant women. Studies are needed to determine the underlying mechanisms, and to investigate if the relationship between blood Mn level and GDM is dose-dependent.
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Affiliation(s)
- Yingmei Sun
- Department of Gynaecology and Obstetrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yu Zhang
- Department of Gynaecology and Obstetrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
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13
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Sun F, Pan XF, Hu Y, Xie J, Cui W, Ye YX, Wang Y, Yang X, Wu P, Yuan J, Yang Y, Pan A, Chen D. Metal Exposure during Early Pregnancy and Risk of Gestational Diabetes Mellitus: Mixture Effect and Mediation by Phospholipid Fatty Acids. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:13778-13792. [PMID: 37656932 DOI: 10.1021/acs.est.3c04065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
Despite existing studies exploring the association between metal exposure and gestational diabetes mellitus (GDM), most of them have focused on a single metal or a small mixture of metals. Our prospective work investigated the joint and independent effects of early gestational exposure to 17 essential and nonessential metals on the GDM risk and potential mediation by plasma phospholipid fatty acids (PLFAs) based on a nested case-control study established with 335 GDM cases and 670 randomly matched healthy controls. The Bayesian kernel machine regression (BKMR) and quantile g-computation analyses demonstrated a joint effect from metal co-exposure on GDM risk. BKMR with hierarchical variable selection indicated that the group of essential metals was more strongly associated with GDM than the group of nonessential metals with group posterior inclusion probabilities (PIPs) of 0.979 and 0.672, respectively. Cu (0.988) and Ga (0.570) had the largest conditional PIPs within each group. We also observed significant mediation effects of selected unsaturated PLFAs on Cu-GDM and Ga-GDM associations. KEGG enrichment analysis further revealed significant enrichment in the biosynthesis of unsaturated PLFAs. C18:1 n-7 exhibited the largest proportion of mediation in both associations (23.8 and 22.9%). Collectively, our work demonstrated the joint effect of early gestational metal exposure on GDM risk and identified Cu and Ga as the key species to the joint effect. The findings lay a solid ground for further validation through multicenter investigations and mechanism exploration via laboratory studies.
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Affiliation(s)
- Fengjiang Sun
- School of Environment, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, and National Medical Product Administration Key Laboratory for Technical Research on Drug Products in Vitro and in Vivo Correlation, West China Second University Hospital, Sichuan University and Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu 610041, Sichuan, China
| | - Yongxia Hu
- School of Environment, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Jinxin Xie
- School of Environment, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Wenxuan Cui
- School of Environment, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xue Yang
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, and National Medical Product Administration Key Laboratory for Technical Research on Drug Products in Vitro and in Vivo Correlation, West China Second University Hospital, Sichuan University and Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu 610041, Sichuan, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jiaying Yuan
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, Sichuan, China
| | - Yan Yang
- School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, Guangdong, China
- Synergy Innovation Institute of GDUT, Shantou 515041, Guangdong, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Da Chen
- School of Environment, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
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14
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Yang Q, Liu Y, Liu L, Zhang L, Lei J, Wang Q, Hong F. Exposure to multiple metals and diabetes mellitus risk in dong ethnicity in China: from the China multi-ethnic cohort study. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:2435-2445. [PMID: 35986857 DOI: 10.1007/s10653-022-01366-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
Metals play an important role in the development of diabetes mellitus (DM). The association of metals with diabetes among the Dong ethnicity in China remains poorly understood. The current study aimed to evaluate the association of single metal exposure and multi-metal co-exposure with DM risk. Urinary concentrations of arsenic, cadmium, chromium, copper, iron, lead, manganese, mercury, molybdenum, nickel, strontium, vanadium, and zinc were measured using inductively coupled plasma-mass spectrometry (ICP-MS) among 4479 Dong ethnic participants aged 30-79 years from the China Multi-Ethnic Cohort (CMEC) study. Based on tertiles, the metal exposure can be divided into three groups: low, middle, and high exposure. Multivariate logistic regression models and principal component analysis were performed to determine exposure to single-metal and multi-metal co-exposure in relation to DM. A decrease in risk of DM was associated with iron (OR = 0.78, 95% CI: 0.61-1.00 and 0.68, 0.53-0.88 for the middle and high vs. low) and strontium (OR = 0.87, 95% CI: 0.69-1.12 and 0.67, 0.51-0.86 for the middle and high vs. low), respectively. A principal component 3 (PC3) characterized by iron and strontium showed an inverse association with DM. A principal component 4 (PC4) characterized by manganese and lead positively associated with DM. Exposure to high concentrations of urinary iron and strontium may reduce the risk of diabetes mellitus. This study revealed an increase in the risk of diabetes mellitus by co-exposure to high concentrations of urinary manganese and lead.
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Affiliation(s)
- Qianyuan Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Yalan Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Leilei Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Linyuan Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Juan Lei
- Guiyang City Center for Disease Control and Prevention, Guizhou, 550003, China
| | - Qiaorong Wang
- University Town Hospital, Gui'an New District, Guizhou, 550025, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
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15
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Liang Y, Pan Z, Zhu M, Gao R, Wang Y, Cheng Y, Zhang N. Exposure to essential and non-essential trace elements and risks of congenital heart defects: A narrative review. Front Nutr 2023; 10:1121826. [PMID: 36998909 PMCID: PMC10043220 DOI: 10.3389/fnut.2023.1121826] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/23/2023] [Indexed: 03/16/2023] Open
Abstract
Congenital heart defects (CHDs) are congenital abnormalities involving the gross structures of the heart and large blood vessels. Environmental factors, genetic factors and their interactions may contribute to the pathogenesis of CHDs. Generally, trace elements can be classified into essential trace elements and non-essential trace elements. Essential trace elements such as copper (Cu), zinc (Zn), iron (Fe), selenium (Se), and manganese (Mn) play important roles in human biological functions such as metabolic function, oxidative stress regulation, and embryonic development. Non-essential trace elements such as cadmium (Cd), arsenic (As), lead (Pb), nickle (Ni), barium (Ba), chromium (Cr) and mercury (Hg) are harmful to health even at low concentrations. Recent studies have revealed the potential involvement of these trace elements in the pathogenesis of CHDs. In this review, we summarized current studies exploring exposure to essential and non-essential trace elements and risks of CHDs, in order to provide further insights for the pathogenesis and prevention of CHDs.
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Affiliation(s)
- Yipu Liang
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zijian Pan
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Mingzheng Zhu
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- West China Hospital, Sichuan University, Chengdu, China
| | - Ruonan Gao
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- West China School of Pharmacy, Sichuan University, Chengdu, China
| | - Yijue Wang
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yijuan Cheng
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- West China Hospital, Sichuan University, Chengdu, China
| | - Nannan Zhang
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- *Correspondence: Nannan Zhang,
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16
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Rudge MVC, Alves FCB, Hallur RLS, Oliveira RG, Vega S, Reyes DRA, Floriano JF, Prudencio CB, Garcia GA, Reis FVDS, Emanueli C, Fuentes G, Cornejo M, Toledo F, Valenzuela-Hinrichsen A, Guerra C, Grismaldo A, Valero P, Barbosa AMP, Sobrevia L. Consequences of the exposome to gestational diabetes mellitus. Biochim Biophys Acta Gen Subj 2023; 1867:130282. [PMID: 36436753 DOI: 10.1016/j.bbagen.2022.130282] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/14/2022] [Accepted: 11/16/2022] [Indexed: 11/26/2022]
Abstract
The exposome is the cumulative measure of environmental influences and associated biological responses throughout the lifespan, including those from the environment, diet, behaviour, and endogenous processes. The exposome concept and the 2030 Agenda for the Sustainable Development Goals (SDGs) from the United Nations are the basis for understanding the aetiology and consequences of non-communicable diseases, including gestational diabetes mellitus (GDM). Pregnancy may be developed in an environment with adverse factors part of the immediate internal medium for fetus development and the external medium to which the pregnant woman is exposed. The placenta is the interface between maternal and fetal compartments and acts as a protective barrier or easing agent to transfer exposome from mother to fetus. Under and over-nutrition in utero, exposure to adverse environmental pollutants such as heavy metals, endocrine-disrupting chemicals, pesticides, drugs, pharmaceuticals, lifestyle, air pollutants, and tobacco smoke plays a determinant role in the development of GDM. This phenomenon is worsened by metabolic stress postnatally, such as obesity which increases the risk of GDM and other diseases. Clinical risk factors for GDM development include its aetiology. It is proposed that knowledge-based interventions to change the potential interdependent ecto-exposome and endo-exposome could avoid the occurrence and consequences of GDM.
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Affiliation(s)
- Marilza V C Rudge
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil.
| | - Fernanda C B Alves
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil
| | - Raghavendra L S Hallur
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil; Centre for Biotechnology, Pravara Institute of Medical Sciences (DU), Loni-413736, Rahata Taluk, Ahmednagar District, Maharashtra, India
| | - Rafael G Oliveira
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil
| | - Sofia Vega
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - David R A Reyes
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil
| | - Juliana F Floriano
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil
| | - Caroline B Prudencio
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil
| | - Gabriela A Garcia
- São Paulo State University (UNESP), School of Sciences, Postgraduate Program in Materials Science and Technology (POSMAT), 17033-360 Bauru, São Paulo, Brazil
| | - Fabiana V D S Reis
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil
| | - Costanza Emanueli
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
| | - Gonzalo Fuentes
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713GZ Groningen, The Netherlands; Faculty of Health Sciences, Universidad de Talca, Talca 3460000, Chile; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - Marcelo Cornejo
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713GZ Groningen, The Netherlands; Faculty of Health Sciences, Universidad de Talca, Talca 3460000, Chile; Faculty of Health Sciences, Universidad de Antofagasta, Antofagasta 02800, Chile; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - Fernando Toledo
- Faculty of Basic Sciences, Universidad del Bío-Bío, Chillán 3780000, Chile; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - Andrés Valenzuela-Hinrichsen
- Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - Catalina Guerra
- Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - Adriana Grismaldo
- Tecnologico de Monterrey, Eutra, The Institute for Obesity Research (IOR), School of Medicine and Health Sciences, Monterrey, Nuevo León 64710, Mexico; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - Paola Valero
- Faculty of Health Sciences, Universidad de Talca, Talca 3460000, Chile; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
| | - Angelica M P Barbosa
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil; Department of Physiotherapy and Occupational Therapy, School of Philosophy and Sciences, São Paulo State University (UNESP), 17525-900 Marília, São Paulo, Brazil
| | - Luis Sobrevia
- Department of Gynaecology and Obstetrics, Botucatu Medical School, São Paulo State University (UNESP), 18618-687 Botucatu, São Paulo, Brazil; Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, 9713GZ Groningen, The Netherlands; Tecnologico de Monterrey, Eutra, The Institute for Obesity Research (IOR), School of Medicine and Health Sciences, Monterrey, Nuevo León 64710, Mexico; Department of Physiology, Faculty of Pharmacy, Universidad de Sevilla, Seville E-41012, Spain; University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine and Biomedical Sciences, University of Queensland, Herston QLD 4029, Queensland, Australia; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrician, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile.
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17
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Palma P, Penha AM, Novais MH, Fialho S, Lima A, Catarino A, Mourinha C, Alvarenga P, Iakunin M, Rodrigues G, Potes M, Morais M, Costa MJ, Salgado R. Integrative toolbox to assess the quality of freshwater sediments contaminated with potentially toxic metals. ENVIRONMENTAL RESEARCH 2023; 217:114798. [PMID: 36427636 DOI: 10.1016/j.envres.2022.114798] [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: 07/23/2022] [Revised: 10/20/2022] [Accepted: 11/10/2022] [Indexed: 05/16/2023]
Abstract
The Guadiana Basin is a transnational basin, presenting historical contamination with potentially toxic metals (PTM), which origin can be both natural and anthropogenic. This study explores the use of a set of observational, chemical and ecotoxicological assays with Heterocypris incongruens, Vibrio fischeri, Pseudokirchneriella subcapitata, Thamnocephalus platyurus, identifying the most sensitive to be included in a toolbox to analyze the quality of freshwater sediments related to this type of contamination. The study included the analysis of a reservoir and streams sediments of Guadiana basin, in two consecutive years with different climate conditions 2017 (dry year) and 2018 (normal year). The results showed high chemical variability along the basin, with greater contamination with PTM in the reservoir sediments. The calculated Enrichment Factors (EF) indicated high anthropogenic contamination by Cd, followed by Pb (EF > 1.5). The geoaccumulation index (Igeo) revealed that the sediments were severely polluted with Cd, and slightly polluted with Pb and Cu, inducing a higher sublethal toxicity to Heterocypris incongruens. Among the parameters evaluated, and after the use of multivariate statistical techniques, the toolbox for assessing sediments quality, in similar climate and geological conditions, should include the analysis of: meteorology, land use/cover in the area, granulometry, organic matter content, PTM concentrations, contamination indices (e.g., Igeo and EF), and sublethal bioassays with H. incongruens (total sediment analysis) and Vibrio fisheri luminescence inhibition (pore water analysis).
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Affiliation(s)
- Patrícia Palma
- Department of Technologies and Applied Sciences, Polytechnic Institute of Beja, 7801-295, Portugal; ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal.
| | - Alexandra Marchã Penha
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal; Water Laboratory, University of Évora, P.I.T.E, Rua da Barba Rala No. 1, 7005-345, Évora, Portugal
| | - Maria Helena Novais
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal; Water Laboratory, University of Évora, P.I.T.E, Rua da Barba Rala No. 1, 7005-345, Évora, Portugal
| | - Sofia Fialho
- Department of Technologies and Applied Sciences, Polytechnic Institute of Beja, 7801-295, Portugal
| | - Ana Lima
- Department of Technologies and Applied Sciences, Polytechnic Institute of Beja, 7801-295, Portugal
| | - Adriana Catarino
- Department of Technologies and Applied Sciences, Polytechnic Institute of Beja, 7801-295, Portugal
| | - Clarisse Mourinha
- Department of Technologies and Applied Sciences, Polytechnic Institute of Beja, 7801-295, Portugal
| | - Paula Alvarenga
- Linking Landscape, Environment, Agriculture, and Food Research Unit (LEAF), Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017, Lisboa, Portugal
| | - Maksim Iakunin
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal
| | - Gonçalo Rodrigues
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal
| | - Miguel Potes
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal
| | - Manuela Morais
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal; Water Laboratory, University of Évora, P.I.T.E, Rua da Barba Rala No. 1, 7005-345, Évora, Portugal; Science and Technology School, University of Évora, Évora, Portugal
| | - Maria João Costa
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal; Science and Technology School, University of Évora, Évora, Portugal
| | - Rui Salgado
- ICT, Institute of Earth Sciences, University of Évora, Rua Romão Ramalho 59, Évora, Portugal; Science and Technology School, University of Évora, Évora, Portugal
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18
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Wu T, Li T, Zhang C, Huang H, Wu Y. Association between Plasma Trace Element Concentrations in Early Pregnancy and Gestational Diabetes Mellitus in Shanghai, China. Nutrients 2022; 15:nu15010115. [PMID: 36615774 PMCID: PMC9824253 DOI: 10.3390/nu15010115] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/13/2022] [Accepted: 12/23/2022] [Indexed: 12/28/2022] Open
Abstract
(1) Background: Trace elements play important roles in gestational diabetes mellitus (GDM), but the results from reported studies are inconsistent. This study aimed to examine the association between maternal exposure to V, Cr, Mn, Co, Ni, and Se in early pregnancy and GDM. (2) Methods: A nested case-control study with 403 GDM patients and 763 controls was conducted. Trace elements were measured using inductively coupled plasma-mass spectrometry in plasma collected from pregnant women in the first trimester of gestation. We used several statistical methods to explore the association between element exposure and GDM risk. (3) Results: Plasma V and Ni were associated with increased and decreased risk of GDM, respectively, in the single-element model. V and Mn were found to be positively, and Ni was found to be negatively associated with GDM risk in the multi-element model. Mn may be the main contributor to GDM risk and Ni the main protective factor against GDM risk in the quantile g computation (QGC). 6.89 μg/L~30.88 μg/L plasma Ni was identified as a safe window for decreased risk of GDM. (4) Conclusions: V was positively associated with GDM risk, while Ni was negatively associated. Ni has dual effects on GDM risk.
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Affiliation(s)
- Ting Wu
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
| | - Tao Li
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
| | - Chen Zhang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
| | - Hefeng Huang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200030, China
- Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai 200030, China
- Women’s Hospital, School of Medicine, The Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou 310058, China
- Correspondence: (H.H.); (Y.W.); Tel.: +86-21-6407-0434 (H.H.); +86-21-3318-9900 (Y.W.)
| | - Yanting Wu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200030, China
- Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai 200030, China
- Correspondence: (H.H.); (Y.W.); Tel.: +86-21-6407-0434 (H.H.); +86-21-3318-9900 (Y.W.)
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19
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The construction and validation of a lead exposure screening tool for pregnant women in Thailand (ThaiL8Is). Heliyon 2022; 8:e12582. [PMID: 36636215 PMCID: PMC9830162 DOI: 10.1016/j.heliyon.2022.e12582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 10/11/2022] [Accepted: 12/15/2022] [Indexed: 12/25/2022] Open
Abstract
Objectives To construct, validate, and implement a new screening tool for lead exposure in Thai pregnant women. Methods A cross-sectional study that included three processes: screening tool development, validation, and implementation. The participants were pregnant women who had received antenatal care at district health promotion hospitals. There were 100 pregnant women in Nakhon Si Thammarat province during the validation process, and 30 pregnant women in Phang Nga province during the implementation process. Blood lead levels (BLLs) were analysed by atomic absorption spectrophotometry. The sensitivity and specificity of the screening instrument, as well as the Area Under the Curve (AUC), demonstrate its validity. Results There were 80 BLL-related items found through the collection of primary and secondary data and examined for validity and inter-rater reliability by five experts. Six items were excluded because the values were less than the criteria set. Seventy-four items remained with the Item Content Validity Index (I-CVI) = 0.80-1.00, the Content Validity Index Average (S-CVI/Ave) = 0.91, and Kappa scores = 0.76-1.00. After using 74 items collected on pregnant women, only 31 items were included in the validation process. Following that, the pooled eight items with cut-off point scores of 1 had the highest validity, which included systolic blood pressure, diastolic blood pressure, urine sugar, haemoglobin level, occupation, drinking coffee, using chemical products, and education level (ThaiL8Is). The ThaiL8Is in the validation process yielded sensitivity = 80.9%, specificity = 69.8%, and an AUC (95%CI) = 0.78 (0.69-0.87). The implementation process has confirmed the validity of the screening tool; sensitivity = 78.9%, specificity = 81.8%, and the AUC (95%CI) = 0.80 (0.63-0.97). Conclusions The ThaiL8Is a valid screening tool for Thai pregnant women. ThaiL8Is' sensitivity in detecting the risk groups for lead exposure can be enhanced by a combination of biochemical markers used in routine prenatal screening. It can be used to screen pregnant women for early indicators of lead exposure prior to a blood lead test.
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20
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Li Q, Zhang G, Lin L, Wu M, Cao X, Xiao D, Wang X, Zhang X, Xu S, Li X, Zhong C, Tan T, Chen X, Huang L, Zhang Y, Chen R, Zhou X, Xiong T, Wu Y, Gao Q, Wu J, Li D, Cui W, Tu M, Zhang H, Yang S, Liu J, Yang H, Yang X, Hao L, Yang N. Plasma Manganese Levels and Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:15860-15868. [PMID: 36215214 DOI: 10.1021/acs.est.2c03330] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Manganese (Mn) intake has been found to be linked with risk of type 2 diabetes. However, the role of Mn in the development of gestational diabetes mellitus (GDM) remains to be investigated. This prospective study included pregnant women from the Tongji Maternal and Child Health Cohort. A total of 2327 participants with plasma specimens before 20 weeks were included. Among the pregnant women, 9.7% (225/2327) were diagnosed with GDM. After adjustment, pregnant women with the third and highest quartile of plasma Mn levels had 1.31-fold (RR, 2.31 [1.48, 3.61]) and 2.35-fold (RR, 3.35 [2.17, 5.17]) increased risk of GDM compared with those with the lowest quartile. A 1 standard deviation increment of ln-transformed plasma Mn levels (0.53 μg/L) was related to elevated risks of GDM with RRs of 1.28 [1.17, 1.40]. The positive associations between Mn and GDM remained consistent in all the subgroups. The weighted quantile sum index was significantly related to GDM (RR, 1.60 [1.37, 1.86]). The contribution of Mn (58.69%) to the metal mixture index was the highest related to GDM. Higher plasma Mn levels were found to be linked with elevated fasting and 2 h post-load blood glucose. This study revealed relationships of higher plasma Mn levels in early pregnancy and increased risk of GDM, suggesting that though essential, excess Mn in the body might be a potential important risk factor for GDM.
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Affiliation(s)
- Qian Li
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Guofu Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan 453003, P.R. China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Daxiang Xiao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Shangzhi Xu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xiating Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Jiangyue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - De Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Wenli Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Siyu Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Hongying Yang
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, P.R. China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
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21
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Hu J, Liu Y, Ma Y, Gao M, Wan N, Li L, Liu B, Wen D. Sweet foods dietary pattern enhances negative associations of perceived indoor air quality during pregnancy with postpartum depression. INDOOR AIR 2022; 32:e13124. [PMID: 36437672 DOI: 10.1111/ina.13124] [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: 06/15/2022] [Revised: 08/27/2022] [Accepted: 09/18/2022] [Indexed: 06/16/2023]
Abstract
Postpartum depression (PPD) is possibly caused by indoor air pollution and may be modified by maternal diet during pregnancy. Using the data from a prospective cohort study, we examined the interaction between indoor air quality and maternal dietary patterns on PPD development. A perceived indoor air quality (PIAQ) score was used to assess indoor air pollution. A higher PIAQ score indicated a worse indoor air quality. Women with higher PIAQ scores were at increased risk for PPD (tertile 3 vs. tertile 1, odds ratio [OR] = 2.12, 95% confidence interval [CI] = 1.37-3.29). Compared with a lower adherence to a "sweet foods pattern" (OR = 1.20, 95% CI = 0.66-2.18), a higher adherence to a "sweet foods pattern" enhanced the hazardous associations of the PIAQ on PPD (OR = 3.09, 95% CI = 1.81-5.27, adjusted p for interaction = 0.044). Higher adherence to a "whole grain-seafood pattern" and lower adherence to a "traditional pattern" also increased the risk for PPD, although the p values for the interaction were not significant. Our findings provide further evidence of the link between diet during pregnancy, air pollution, and PPD, and it can be used to develop PPD prevention strategies.
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Affiliation(s)
- Jiajin Hu
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Yilin Liu
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Yanan Ma
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang, China
| | - Ming Gao
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Ningyu Wan
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Lin Li
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Borui Liu
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
| | - Deliang Wen
- Health Sciences Institute, China Medical University, Shenyang, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, China
- Liaoning Key Laboratory of Obesity and Glucose, Lipid Associated Metabolic Diseases, Shenyang, China
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22
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Zhou M, Peng L, Wang J, Cao R, Ou Z, Fang Y. Cadmium exposure and the risk of GDM: evidence emerging from the systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:77253-77274. [PMID: 35672642 DOI: 10.1007/s11356-022-21171-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/25/2022] [Indexed: 06/15/2023]
Abstract
Gestational diabetes mellitus (GDM) has become a global concern for its severe adverse effects on both mother and fetus. Recent epidemiological studies reported inconsistent results of the association between cadmium (Cd) exposure and GDM. Therefore, a systematic review and meta- analysis were performed. PubMed, Web of Science, Scopus, Embase, and SpringerLink were searched up to July 2021. Observational studies containing the adjusted relative risks between Cd exposure and GDM were included in the quantitative synthesis. The retrieval comprised 218 articles out of which 11 met our criteria and 9 were included in the meta-analysis, representing a total of 32,392 subjects (2881 GDM). In total, Cd exposure might increase the risk of GDM in some extent (OR = 1.21, 95% CI [0.89, 1.64]), even without statistical significance in high heterogeneity (Q = 28.45, p < 0.05, I2 = 71.9%). Filtering two outliers indicated by Galbraith plot yielded a similar risk (OR = 1.19, 95% CI [1.02, 1.39]) with statistical significance. However, the heterogeneity among studies was obviously reduced (Q = 11.75, p = 0.068, I2 = 48.9%). Additionally, biological specimen, study design, and diagnostic criteria contributed to the high heterogeneity according to the subgroup analysis. Since some important results do not deny that Cd exposure increases the risk of GDM, high-quality multi-centered large cohort studies are required in the future.
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Affiliation(s)
- Minqi Zhou
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Lianqi Peng
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jingming Wang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Rong Cao
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zixuan Ou
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yiwei Fang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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23
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Tatsuta N, Iwai-Shimada M, Nakayama SF, Iwama N, Metoki H, Arima T, Sakurai K, Anai A, Asato K, Kuriyama S, Sugawara J, Suzuki K, Yaegashi N, Kamijima M, Nakai K. Association between whole blood metallic elements concentrations and gestational diabetes mellitus in Japanese women: The Japan environment and Children's study. ENVIRONMENTAL RESEARCH 2022; 212:113231. [PMID: 35405127 DOI: 10.1016/j.envres.2022.113231] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/24/2022] [Accepted: 03/30/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Exposure to several metallic elements has been suggested as a risk factor for gestational diabetes mellitus (GDM), but inconsistent findings have been reported. This study aimed to examine the association between the maternal whole blood concentration of metallic elements (Hg, Pb, Cd, Mn, and Se) and GDM using the dataset of the Japan Environment and Children's Study (JECS), a nationwide birth cohort study, which was designed to examine the adverse effects of pre/post-natal exposure to hazardous environment. METHODS The data of 78,964 pregnant women who were participants of JECS were used. Blood samples were collected from the pregnant women at second/third trimester of gestation. We employed logistic regression analysis, quantile g-computation (QGC) and a distributed lag nonlinear model (DLNM) to examine the association between the blood concentration of metallic elements and the risk of GDM. RESULTS The prevalence of GDM was 2.1%. In the logistic regression analyses, maternal blood Hg was associated with an increased risk of GDM. In QGC analysis, although metallic elements mixtures were not related to an increased risk of GDM, Hg (52.6%) may be the main contributor. According to the results of DLNM, for maternal exposure to Hg, 4.99 ng/g was identified as its susceptible minimum window for elevated risk of GDM. CONCLUSIONS Our findings highlighted an association between Hg exposure and an increased risk of GDM. Studies of the underlying mechanisms and potential contributing factors, including fish intake, of this association are warranted.
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Affiliation(s)
- Nozomi Tatsuta
- Development and Environmental Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan; Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Miyuki Iwai-Shimada
- Japan Environment and Children's Study Programme Office, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
| | - Shoji F Nakayama
- Japan Environment and Children's Study Programme Office, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
| | - Noriyuki Iwama
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan; Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Hirohito Metoki
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Takahiro Arima
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Kasumi Sakurai
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Akane Anai
- Development and Environmental Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan; Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Kaname Asato
- Development and Environmental Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan; Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Shinichi Kuriyama
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Junichi Sugawara
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Kichiya Suzuki
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Nobuo Yaegashi
- Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
| | - Michihiro Kamijima
- Department of Occupational and Environmental Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan.
| | - Kunihiko Nakai
- Development and Environmental Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan; Environmental and Genome Research Center Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan; School of Sport and Health Science, Tokai Gakuen University, 21-233 Nishinodo, Ukigai-cho, Miyoshi, Aichi, 470-233, Japan.
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24
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Eberle C, Stichling S. Environmental health influences in pregnancy and risk of gestational diabetes mellitus: a systematic review. BMC Public Health 2022; 22:1572. [PMID: 35982427 PMCID: PMC9389831 DOI: 10.1186/s12889-022-13965-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 06/27/2022] [Indexed: 11/10/2022] Open
Abstract
Background Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications globally. Environmental risk factors may lead to increased glucose levels and GDM, which in turn may affect not only the health of the mother but assuming hypotheses of "fetal programming", also the health of the offspring. In addition to traditional GDM risk factors, the evidence is growing that environmental influences might affect the development of GDM. We conducted a systematic review analyzing the association between several environmental health risk factors in pregnancy, including climate factors, chemicals and metals, and GDM. Methods We performed a systematic literature search in Medline (PubMed), EMBASE, CINAHL, Cochrane Library and Web of Science Core Collection databases for research articles published until March 2021. Epidemiological human and animal model studies that examined GDM as an outcome and / or glycemic outcomes and at least one environmental risk factor for GDM were included. Results Of n = 91 studies, we classified n = 28 air pollution, n = 18 persistent organic pollutants (POP), n = 11 arsenic, n = 9 phthalate n = 8 bisphenol A (BPA), n = 8 seasonality, n = 6 cadmium and n = 5 ambient temperature studies. In total, we identified two animal model studies. Whilst we found clear evidence for an association between GDM and air pollution, ambient temperature, season, cadmium, arsenic, POPs and phthalates, the findings regarding phenols were rather inconsistent. There were clear associations between adverse glycemic outcomes and air pollution, ambient temperature, season, POPs, phenols, and phthalates. Findings regarding cadmium and arsenic were heterogeneous (n = 2 publications in each case). Conclusions Environmental risk factors are important to consider in the management and prevention of GDM. In view of mechanisms of fetal programming, the environmental risk factors investigated may impair the health of mother and offspring in the short and long term. Further research is needed. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13965-5.
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Affiliation(s)
- Claudia Eberle
- Medicine With Specialization in Internal Medicine and General Medicine, Hochschule Fulda, University of Applied Sciences, Leipziger Strasse 123, 36037, Fulda, Germany.
| | - Stefanie Stichling
- Medicine With Specialization in Internal Medicine and General Medicine, Hochschule Fulda, University of Applied Sciences, Leipziger Strasse 123, 36037, Fulda, Germany
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25
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Yu L, Duan H, Yu Y, Zhang Q, Zhao J, Zhang H, Zhai Q, Tian F, Chen W. Dose-dependent effects of chronic lead toxicity in vivo: Focusing on trace elements and gut microbiota. CHEMOSPHERE 2022; 301:134670. [PMID: 35452643 DOI: 10.1016/j.chemosphere.2022.134670] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/29/2022] [Accepted: 04/18/2022] [Indexed: 05/26/2023]
Abstract
Dose-dependent effects of chronic Pb exposure-induced injuries, especially on the trace elements and gut microbiota in mice, have not been explored. In the present study, we investigated these aspects using C57BL/6 mouse models that were exposed to Pb via drinking water with Pb concentrations of 0.1, 0.5, and 1.0 g/L for 8 weeks. The results showed that with the increase in chronic Pb exposure dose, the Pb levels in the blood and tissues, Zn levels in the kidney and brain were elevated, and the levels of bone Zn, kidney Fe, brain Mg, Ca, and Fe, renal catalase activity, and glutathione levels, as well as the expression of colonic zonula occludens-1 and occludin, decreased with a strong linear correlation. Moreover, the relative abundance of Marvinbryantia and Ruminococcus 1 increased, while that of Lactobacillus and Roseburia decreased linearly with the Pb exposure dose. PICRUSt analysis revealed that chronic Pb exposure had a greater impact on the metabolism of macronutrients, trace elements, and neurodegenerative injury. These findings suggest that chronic Pb exposure disrupts trace element levels in tissues, especially in the brain, and induces gut dysbiosis in a dose-dependent manner, which is different from the dose-effect of acute Pb toxicity.
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Affiliation(s)
- Leilei Yu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Hui Duan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Yaqi Yu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Qingsong Zhang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Jianxin Zhao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, China
| | - Hao Zhang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, China
| | - Qixiao Zhai
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Fengwei Tian
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
| | - Wei Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, China
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26
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Chen L, Zhao Y, Liu F, Chen H, Tan T, Yao P, Tang Y. Biological aging mediates the associations between urinary metals and osteoarthritis among U.S. adults. BMC Med 2022; 20:207. [PMID: 35710548 PMCID: PMC9205020 DOI: 10.1186/s12916-022-02403-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 05/12/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Osteoarthritis (OA) is a worldwide public health concern, mainly afflicting older adults. Although the etiology of OA remains unclear, environmental factors are increasingly considered as non-negligible risk factors. This study aims to evaluate the associations of urinary metals with OA risk and the mediated effect of biological aging. METHODS Nine urinary metal concentrations were detected among 12,584 U.S. adults based on the National Health and Nutrition Examination Survey (NHANES), including barium (Ba), cadmium (Cd), cobalt (Co), cesium (Cs), molybdenum (Mo), lead (Pb), antimony (Sb), thallium (Tl), and uranium (Tu). Multivariable logistic regression and weighted quantile sum (WQS) regression were used to explore the associations of single metal and mixed metals with OA risk, respectively. Furthermore, biological aging was measured from different perspectives, including cell senescence (telomere length) and whole-body aging (phenotypic age and biological age). Mediation analyses were conducted to investigate the mediated effects of aging on the associations of metals with OA risk. RESULTS In the single-exposure model, Cd, Co, and Cs were identified to be positively associated with OA risk, with odds ratios (OR) ranging from 1.48 to 1.64 (all P < 0.05). Mixed-exposure analyses showed consistent associations (OR 1.23, 95%CI 1.10 to 1.37) and highlighted that Cd, Co, and Cs were responsible for the outcomes. Additionally, Cd, Co, Cs, Pb, and Tl were positively associated with biological aging markers, while all biological aging markers had significant associations with OA risk. Further mediation analyses showed that the associations of single metal (mainly Cd and Cs) and mixed metals with OA risk parallelly mediated by the above biological aging markers, with the proportion of mediation ranging from 16.89 to 69.39% (all P < 0.05). Moreover, such associations were also serially mediated through telomere length-biological age path and telomere length-phenotypic age path (the proportion of mediation: 4.17-11.67%), indicating that metals accelerated cell senescence to lead to whole-body aging and finally aggravated OA progress. CONCLUSIONS These findings suggested that exposure to metals increased OA risk, which was possibly and partly mediated by biological aging.
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Affiliation(s)
- Li Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Zhao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fangqu Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Huimin Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ping Yao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuhan Tang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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27
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Zhang J, Yin H, Zhu X, Xiang R, Miao Y, Zhang Y, Song Y, Chen J, Zhang L. Effects of multi-metal exposure on the risk of diabetes mellitus among people aged 40-75 years in rural areas in southwest China. J Diabetes Investig 2022; 13:1412-1425. [PMID: 35340117 PMCID: PMC9340878 DOI: 10.1111/jdi.13797] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 03/22/2022] [Accepted: 03/24/2022] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Metals play an important role in diabetes mellitus (DM). This cross-sectional study aims to evaluate the overall, individual, and interactive effects of multi-metal exposure on the prevalence of DM, impaired fasting glucose (IFG) rate, and fasting blood glucose (FBG) levels. MATERIALS AND METHODS The FBG levels of a study population from a cadmium (Cd)-polluted area (n=250) and an unpolluted area (n=204) and the metal levels, including magnesium (Mg), calcium (Ca), iron (Fe), zinc (Zn), arsenic (As), Cd, copper (Cu), and lead (Pb), in blood and urine were detected. The study population was divided into a normal fasting glucose (NFG) group, an IFG group, and a DM group on the basis of FBG levels. RESULTS IFG rate and DM prevalence were negatively associated with blood Cd and urine Zn levels (IFG rate: OR=0.780, 95%CI: 0.655-0.928; OR=0.622, 95%CI: 0.465-0.831. DM prevalence: OR=0.506, 95%CI: 0.288-0.888; OR=0.609, 95%CI: 0.395-0.939), IFG rate was positively associated with urine Fe levels (OR=1.876, 95%CI: 1.290-2.778), and DM prevalence was positively associated with urine Pb and blood Fe levels (OR=1.185, 95%CI: 1.022-1.376; OR=1.008, 95%CI: 1.001-1.014). A linear negative correlation was observed between FBG levels and blood Cd, and nonlinear inverted U-shaped associations were found between FBG levels and Zn, Pb, and Cu in urine. CONCLUSIONS This research suggests that multi-metal exposure, especially Cd, Fe, Zn, Cu, and Pb, is linked to DM, and the interactive effects of multiple metals need further exploration.
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Affiliation(s)
- Jing Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
| | - Huanhuan Yin
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
| | - Xuemei Zhu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
| | - Rong Xiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
| | - Yeqiu Miao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
| | - Yu Zhang
- Department of Nutrition and Food Safety, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yang Song
- Department of Nutrition and Food Safety, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Jinyao Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
| | - Lishi Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China
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28
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Lin Y, Li T, Xiao J, Xie K, Shi Z. The Association Between Cadmium Exposure and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. Front Public Health 2022; 9:555539. [PMID: 35223753 PMCID: PMC8866184 DOI: 10.3389/fpubh.2021.555539] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 12/28/2021] [Indexed: 12/05/2022] Open
Abstract
Objective Several studies have evaluated the association of cadmium exposure with the risk of gestational diabetes mellitus (GDM). However, the findings among these studies have been inconsistent. To further investigate the relationship, we carried out a meta-analysis to clarify the relationship between cadmium exposure and GDM risk. Methods Five databases (Scopus, PubMed, Web of Science, Cochrane, and CNKI) were searched for eligible studies until September 09, 2021. The quality of eligible studies was evaluated using the Newcastle–Ottawa quality assessment scale (NOS). The summary odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by random-effects models due to high heterogeneity. Sensitivity analysis was performed to explore the robustness of the results. Publication bias was evaluated by Egger's test and Begg's test. We also conducted meta-regression analysis and subgroup analysis to assess the potential sources of heterogeneity. Results A total of 10 studies with 32,000 participants related to our issue were included. Comparing the highest vs. lowest categories of cadmium exposure, no significant association was observed between cadmium exposure and the risk of GDM (OR = 1.16, 95% CI = 0.92–1.46, and P = 0.206). No publication bias was found in Begg's and Egger's tests (all P > 0.05). Meta-regression suggested that publication year was the potentially heterogeneous source (P = 0.034). Subgroup analysis of publication year showed that the OR of studies before the year of 2016 was 4.05 (95% CI = 1.87–8.76, P < 0.001), and prospective cohort studies showed a borderline increased GDM risk (OR = 1.15, 95% CI = 0.99–1.33, and P = 0.061). Conclusion Our results indicated no significant association between cadmium exposure and GDM risk. Further high-quality prospective studies, especially those using standard analytic methods for cadmium exposure, are warranted to confirm the results.
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Affiliation(s)
- Yu Lin
- Department of Obstetrics and Gynecology, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Ting Li
- Department of Obstetrics and Gynecology, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Jiangbo Xiao
- Department of Obstetrics and Gynecology, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Kaipeng Xie
- Department of Public Health, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
- Department of Women Health Care, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Kaipeng Xie
| | - Zhonghua Shi
- Department of Obstetrics and Gynecology, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
- Zhonghua Shi
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Fernandes JMPA, de Aguiar Pontes Pamplona Y, Vaz JA, Pereira AR, Barbieri CLA, Braga ALF, Martins LC. Association between high-risk pregnancy and environmental contaminants in the Metropolitan Region of Baixada Santista, Brazil. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:14552-14560. [PMID: 34613545 DOI: 10.1007/s11356-021-16794-y] [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: 04/25/2021] [Accepted: 09/24/2021] [Indexed: 06/13/2023]
Abstract
The Metropolitan Region of Baixada Santista (MRBS) is a highly contaminated area. High-risk pregnancy is one factor that leads to a higher chance of both morbidity and mortality of the mother-fetus binomial. The purpose of this study is to analyze the association between exposure to environmental contaminants and high-risk pregnancy. Case-control study, using a probabilistic and random sample composed of 201 high-risk pregnant women (cases) and 201 no high-risk pregnant women (control) followed up during prenatal care at a Public Hospital. The instrument used was a self-administered questionnaire. Contaminated areas data were obtained from the Environmental Company of the São Paulo State. The participants were georeferenced by their place of residence. Descriptive analysis, Chi-square test, and univariate and multiple logistic regression analysis were performed. The multiple logistic regression model demonstrated that living in a contaminated area (OR = 1.565; 95%CI: 1.033; 2.370), preterm delivery in the current pregnancy (OR = 1.989; 95%CI: 1.239; 3.194), and more than 35 years old (OR = 2.822; 95%CI: 1.692; 4.706) are factors jointly related to high-risk pregnancy. Environmental contaminants play an important role in high-risk pregnancy, and mitigating measures are needed to improve the environment and reduce high-risk pregnancy.
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Affiliation(s)
- Joice Maria Pacheco Antonio Fernandes
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Ysabely de Aguiar Pontes Pamplona
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Jhonnes Alberto Vaz
- Centro de Ciencias Exatas, Arquitetura E Engenharia da Universidade Católica de Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Amanda Rodrigues Pereira
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Carolina Luísa Alves Barbieri
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Alfésio Luís Ferreira Braga
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
- Environmental Epidemiology Study Group, Laboratory of Experimental Air Pollution, Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 450, São Paulo, CEP: 01246-903, Brazil
| | - Lourdes Conceição Martins
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil.
- Environmental Epidemiology Study Group, Laboratory of Experimental Air Pollution, Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 450, São Paulo, CEP: 01246-903, Brazil.
- , São Paulo, Brazil.
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Chen L, Sun Q, Peng S, Tan T, Mei G, Chen H, Zhao Y, Yao P, Tang Y. Associations of blood and urinary heavy metals with rheumatoid arthritis risk among adults in NHANES, 1999-2018. CHEMOSPHERE 2022; 289:133147. [PMID: 34864016 DOI: 10.1016/j.chemosphere.2021.133147] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 11/07/2021] [Accepted: 11/30/2021] [Indexed: 06/13/2023]
Abstract
Heavy metals exposure has been widely recognized as a risk factor for human health. However, limited information is available about the impacts of heavy metals on rheumatoid arthritis (RA). Herein, we estimated the associations of 3 blood and 11 urinary metals with the risk of RA among 49830 U.S. adults from the National Health and Nutrition Examination Survey (NHANES), 1999-2018. In the single-exposure model, blood cadmium (Cd) and lead (Pb), urinary Cd, Pb, antimony (Sb), tungsten (Tu), and uranium (Ur) were identified to be positively associated with RA risk. Furthermore, weighted quantile sum (WQS) regression, quantile-based g computation (qgcomp), and Bayesian kernel machine regression (BKMR) analyses consistently showed that both blood and urinary metals-mixed exposure were positively correlated with the risk of RA, and highlighted that Cd and Pb were responsible for the outcomes. Such associations were more evident in the young and middle-aged population. These findings indicated that exposure to heavy metals increased RA risk, and advanced the identification of risk factors for RA.
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Affiliation(s)
- Li Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qiuzi Sun
- Yancheng Center for Disease Control and Prevention, Yancheng, China
| | - Shufen Peng
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Guibin Mei
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Huimin Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Zhao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ping Yao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuhan Tang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Paulo MS, Abdo NM, Bettencourt-Silva R, Al-Rifai RH. Gestational Diabetes Mellitus in Europe: A Systematic Review and Meta-Analysis of Prevalence Studies. Front Endocrinol (Lausanne) 2021; 12:691033. [PMID: 34956073 PMCID: PMC8698118 DOI: 10.3389/fendo.2021.691033] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 11/17/2021] [Indexed: 01/14/2023] Open
Abstract
Background Gestational Diabetes Mellitus (GDM) is defined as the type of hyperglycemia diagnosed for the first-time during pregnancy, presenting with intermediate glucose levels between normal levels for pregnancy and glucose levels diagnostic of diabetes in the non-pregnant state. We aimed to systematically review and meta-analyze studies of prevalence of GDM in European countries at regional and sub-regional levels, according to age, trimester, body weight, and GDM diagnostic criteria. Methods Systematic search was conducted in five databases to retrieve studies from 2014 to 2019 reporting the prevalence of GDM in Europe. Two authors have independently screened titles and abstracts and full text according to eligibility using Covidence software. A random-effects model was used to quantify weighted GDM prevalence estimates. The National Heart, Lung, and Blood Institute criteria was used to assess the risk of bias. Results From the searched databases, 133 research reports were deemed eligible and included in the meta-analysis. The research reports yielded 254 GDM-prevalence studies that tested 15,572,847 pregnant women between 2014 and 2019. The 133 research reports were from 24 countries in Northern Europe (44.4%), Southern Europe (27.1%), Western Europe (24.1%), and Eastern Europe (4.5%). The overall weighted GDM prevalence in the 24 European countries was estimated at 10.9% (95% CI: 10.0-11.8, I2 : 100%). The weighted GDM prevalence was highest in the Eastern Europe (31.5%, 95% CI: 19.8-44.6, I2 : 98.9%), followed by in Southern Europe (12.3%, 95% CI: 10.9-13.9, I2 : 99.6%), Western Europe (10.7%, 95% CI: 9.5-12.0, I2 : 99.9%), and Northern Europe (8.9%, 95% CI: 7.9-10.0, I2 : 100). GDM prevalence was 2.14-fold increased in pregnant women with maternal age ≥30 years (versus 15-29 years old), 1.47-fold if the diagnosis was made in the third trimester (versus second trimester), and 6.79- fold in obese and 2.29-fold in overweight women (versus normal weight). Conclusions In Europe, GDM is significant in pregnant women, around 11%, with the highest prevalence in pregnant women of Eastern European countries (31.5%). Findings have implications to guide vigilant public health awareness campaigns about the risk factors associated with developing GDM. Systematic Review Registration PROSPERO [https://www.crd.york.ac.uk/PROSPERO/], identifier CRD42020161857.
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Affiliation(s)
- Marília Silva Paulo
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Noor Motea Abdo
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Rita Bettencourt-Silva
- Department of Endocrinology and Nutrition, Unidade Local de Saúde do Alto Minho, Viana do Castelo, Portugal
- Department of Endocrinology, Hospital Lusíadas Porto, Porto, Portugal
| | - Rami H. Al-Rifai
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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Jia X, Zhang L, Zhao J, Ren M, Li Z, Wang J, Wang S, Liu Y, An H, Li Y, Yan L, Li Z, Liu X, Pan B, Ye R. Associations between endocrine-disrupting heavy metals in maternal hair and gestational diabetes mellitus: A nested case-control study in China. ENVIRONMENT INTERNATIONAL 2021; 157:106770. [PMID: 34314978 DOI: 10.1016/j.envint.2021.106770] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 07/02/2021] [Accepted: 07/07/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Exposure to environmental endocrine disruptors (EDCs) may lead to abnormal glucose metabolism and, potentially, gestational diabetes mellitus (GDM). OBJECTIVE We investigated the association between five endocrine-disrupting heavy metals (EDHMs), i.e., arsenic (As), cadmium (Cd), lead (Pb), mercury (Hg), and tin (Sn), in maternal hair and the risk of GDM. METHODS We conducted a nested case-control study including 335 GDM cases and 343 controls without GDM based on a prospective birth cohort established in Beijing, China. Concentrations of EDHMs were analyzed in maternal hair. Log-binomial regression and multiple linear regression were used to estimate the associations between the hair concentrations of single metals and the risk of GDM, while weighted quantile sum (WQS) regression for their mixed effects. RESULTS The median concentrations of Hg (0.442 vs. 0.403 μg/g) and Sn (0.171 vs. 0.140 μg/g) in the case group were significantly higher than those in the control group. No differences were found between the two groups for the other three metals. After adjusting for confounders, the prevalence ratio (PR; highest vs. lowest tertile) of GDM risk for Hg was 1.27 (95% confidence interval [CI]: 1.05-1.54), while that for Sn was 1.26 (95% CI: 1.04-1.53). Among women with a body mass index < 24 kg/m2, the PR (highest vs. lowest tertile) of GDM for Sn was 1.38 (95% CI: 1.09-1.75). The effect of exposure to the five EDHMs on the risk of GDM was estimated by WQS regression: Sn and Hg made the largest contributions to the WQS index (40.9% and 40.3%, respectively). CONCLUSION High maternal levels of EDHMs, particularly Sn and Hg, may promote the development of GDM.
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Affiliation(s)
- Xiaoqian Jia
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Le Zhang
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Jing Zhao
- Department of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, 650051, PR China
| | - Mengyuan Ren
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Zewu Li
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Jiamei Wang
- Department of Obstetrics and Gynecology, Haidian Maternal and Child Care Hospital, Beijing 100101, PR China
| | - Shuo Wang
- Department of Obstetrics and Gynecology, Haidian Maternal and Child Care Hospital, Beijing 100101, PR China
| | - Yingying Liu
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Hang An
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Yuhuan Li
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing 100191, PR China
| | - Zhiwen Li
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
| | - Xiaohong Liu
- Department of Obstetrics and Gynecology, Haidian Maternal and Child Care Hospital, Beijing 100101, PR China.
| | - Bo Pan
- Department of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, 650051, PR China.
| | - Rongwei Ye
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
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Ding AL, Hu H, Xu FP, Liu LY, Peng J, Dong XD. Pregnancy complications effect on the nickel content in maternal blood, placenta blood and umbilical cord blood during pregnancy. World J Clin Cases 2021; 9:8340-8348. [PMID: 34754843 PMCID: PMC8554420 DOI: 10.12998/wjcc.v9.i28.8340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/10/2021] [Accepted: 08/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Nickel (Ni) may accumulate in the human body and has biological toxicity and carcinogenicity. Ni has an extensive impact on the health of pregnant women and fetuses during gestation.
AIM To evaluate Ni exposure in pregnant women in Kunming, Yunnan Province, China; to describe the distribution of Ni in the maternal-fetal system and placental barrier function; and to investigate the effect of Ni exposure on fetal health in mothers with pregnancy complications.
METHODS Seventy-two pregnant women were selected using a case-control design. The women were divided into two groups: The control group (no disease; n = 29) and the disease group [gestational diabetes (GDM), hypertensive disorder complicating pregnancy (HDCP), or both; n = 43]. The pregnant women in the disease group were further divided as follows: 14 cases with GDM (GDM group), 13 cases with HDCP (HDCP group) and 16 cases with both GDM and HDCP (disease combination group). Basic information on the pregnant women was collected by questionnaire survey. Maternal blood, placenta blood and cord blood were collected immediately after delivery. The Ni content in paired samples was determined using inductively coupled plasma mass spectrometry.
RESULTS Compared to the control group, age was higher and body mass index was greater in pregnant women in the disease groups (28.14 ± 2.54 vs 28.42 ± 13.89, P < 0.05; 25.90 ± 3.86 vs 31.49 ± 5.30, P < 0.05). The birth weights of newborns in the HDCP group and the control group were significantly different (2.52 ± 0.74 vs 3.18 ± 0.41, P < 0.05). The content of Ni in umbilical cord blood in the entire disease group was higher than that in the control group (0.10 ± 0.16 vs 0.05 ± 0.07, P < 0.05).
CONCLUSION In the maternal-fetal system of women with pregnancy complications, the barrier effect of the placenta against Ni is weakened, thus affecting healthy growth of the fetus in the uterus.
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Affiliation(s)
- Ai-Ling Ding
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming 650500, Yunnan Province, China
- The Obstetrical Department, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, Yunnan Province, China
| | - Hong Hu
- Medical College, Kunming University of Science and Technology, Kunming 650500, Yunnan Province, China
- The Obstetrical Department, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, Yunnan Province, China
| | - Fan-Ping Xu
- Medical College, Kunming University of Science and Technology, Kunming 650500, Yunnan Province, China
- The Obstetrical Department, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, Yunnan Province, China
| | - Ling-Yan Liu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming 650500, Yunnan Province, China
- The Obstetrical Department, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, Yunnan Province, China
| | - Juan Peng
- The Obstetrical Department, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, Yunnan Province, China
| | - Xu-Dong Dong
- The Obstetrical Department, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, Yunnan Province, China
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Zheng Y, Lin PID, Williams PL, Weisskopf MG, Cardenas A, Rifas-Shiman SL, Wright RO, Amarasiriwardena C, Claus Henn B, Hivert MF, Oken E, James-Todd T. Early pregnancy essential and non-essential metal mixtures and gestational glucose concentrations in the 2nd trimester: Results from project viva. ENVIRONMENT INTERNATIONAL 2021; 155:106690. [PMID: 34120006 PMCID: PMC10075708 DOI: 10.1016/j.envint.2021.106690] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/25/2021] [Accepted: 06/02/2021] [Indexed: 05/11/2023]
Abstract
Metals are involved in glucose metabolism, and some may alter glycemic regulation. However, joint effects of essential and non-essential metals on glucose concentrations during pregnancy are unclear. This study explored the joint associations of pregnancy exposures to essential (copper, magnesium, manganese, selenium, zinc) and non-essential (arsenic, barium, cadmium, cesium, lead, mercury) metals with gestational glucose concentrations using 1,311 women enrolled 1999-2002 in Project Viva, a Boston, MA-area pregnancy cohort. The study measured erythrocyte metal concentrations from 1st trimester blood samples and used glucose concentrations measured 1 h after non-fasting 50-gram glucose challenge tests (GCT) from clinical gestational diabetes screening at 26-28 weeks gestation. Bayesian Kernel Machine Regression (BKMR) and quantile-based g-computation were applied to model the associations of metal mixtures-including their interactions-with glucose concentrations post-GCT. We tested for reproducibility of BKMR results using generalized additive models. The BKMR model showed an inverse U-shaped association for barium and a linear inverse association for mercury. Specifically, estimated mean glucose concentrations were highest around 75th percentile of barium concentrations [2.1 (95% confidence interval: -0.2, 4.4) mg/dL higher comparing to the 25th percentile], and each interquartile range increase of erythrocyte mercury was associated with 1.9 mg/dL lower mean glucose concentrations (95% credible interval: -4.2, 0.4). Quantile g-computation showed joint associations of all metals, essential-metals, and non-essential metals on gestational glucose concentrations were all null, however, we observed evidences of interaction for barium and lead. Overall, we found early pregnancy barium and mercury erythrocytic concentrations were associated with altered post-load glucose concentrations in later pregnancy, with potential interactions between barium and lead.
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Affiliation(s)
- Yinnan Zheng
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Pi-I Debby Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Paige L Williams
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Marc G Weisskopf
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Andres Cardenas
- Department of Environmental Health Sciences, University of California, Berkeley School of Public Health, Berkeley, CA, 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, USA.
| | - Robert O Wright
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Chitra Amarasiriwardena
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, 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, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Departments of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Tamarra James-Todd
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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Exposome and foetoplacental vascular dysfunction in gestational diabetes mellitus. Mol Aspects Med 2021; 87:101019. [PMID: 34483008 DOI: 10.1016/j.mam.2021.101019] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 08/26/2021] [Indexed: 12/15/2022]
Abstract
A balanced communication between the mother, placenta and foetus is crucial to reach a successful pregnancy. Several windows of exposure to environmental toxins are present during pregnancy. When the women metabolic status is affected by a disease or environmental toxin, the foetus is impacted and may result in altered development and growth. Gestational diabetes mellitus (GDM) is a disease of pregnancy characterised by abnormal glucose metabolism affecting the mother and foetus. This disease of pregnancy associates with postnatal consequences for the child and the mother. The whole endogenous and exogenous environmental factors is defined as the exposome. Endogenous insults conform to the endo-exposome, and disruptors contained in the immediate environment are the ecto-exposome. Some components of the endo-exposome, such as Selenium, vitamins D and B12, adenosine, and a high-fat diet, and ecto-exposome, such as the heavy metals Arsenic, Mercury, Lead and Copper, and per- and polyfluoroakyl substances, result in adverse pregnancies, including an elevated risk of GDM or gestational diabesity. The impact of the exposome on the human placenta's vascular physiology and function in GDM and gestational diabesity is reviewed.
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Monodisperse superparamagnetic nanoparticles separation adsorbents for high-yield removal of arsenic and/or mercury metals in aqueous media. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.116485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Chen Z, Huo X, Chen G, Luo X, Xu X. Lead (Pb) exposure and heart failure risk. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:28833-28847. [PMID: 33840028 DOI: 10.1007/s11356-021-13725-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 03/25/2021] [Indexed: 02/08/2023]
Abstract
Lead (Pb) is a heavy metal with widespread industrial use, but it is also a widespread environmental contaminant with serious toxicological consequences to many species. Pb exposure adversely impacts the cardiovascular system in humans, leading to cardiac dysfunction, but its effects on heart failure risk remain poorly elucidated. To better understand the pathophysiological effects of Pb, we review potential mechanisms by which Pb exposure leads to cardiac dysfunction. Adverse effects of Pb exposure on cardiac function include heart failure risk, pressure overload, arrhythmia, myocardial ischemia, and cardiotoxicity. The data reviewed clearly establish that Pb exposure can play an important role in the occurrence and development of heart failure. Future epidemiological and mechanistic studies should be developed to better understand the involvement of Pb exposure in heart failure.
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Affiliation(s)
- Zihan Chen
- Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, 22 Xinling Rd, Shantou, 515041, Guangdong, China
| | - Xia Huo
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Guangcan Chen
- Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, 22 Xinling Rd, Shantou, 515041, Guangdong, China
| | - Xiuli Luo
- Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, 22 Xinling Rd, Shantou, 515041, Guangdong, China
| | - Xijin Xu
- Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, 22 Xinling Rd, Shantou, 515041, Guangdong, China.
- Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China.
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Elevated blood lead and metal/metalloid levels and environmental exposure sources in urban Ecuadorian school-age children and mothers. Int J Hyg Environ Health 2021; 235:113770. [PMID: 34044248 DOI: 10.1016/j.ijheh.2021.113770] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 05/07/2021] [Accepted: 05/08/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Lead and other toxic and potentially toxic metals and metalloids are significant contributors to the global burden of disease and disability. Studies characterizing blood metal/metalloid levels and potential sources of environmental exposures are limited for populations living in the major urban centers of Andean-area countries. METHODS We used ICP-MS to quantify blood levels of lead (PbB), cadmium (CdB), manganese (MnB), total arsenic (AsB), and total mercury (HgB) in school-age children (n = 47) and their reproductive-age mothers (n = 49) from low-resource households in Quito, Ecuador. These were compared to published 95th percentile reference values (RV95) and for PbB, also to CDC reference values. We used a detailed environmental questionnaire to examine the contribution of residential and neighborhood environmental exposure sources with participant blood metal/metalloid levels. We used ICP-MS to measure Pb levels in residential windowsill dust, floor dust, and drinking water samples and used XRF for paint samples. RESULTS Forty-five percent of the mothers had PbBs ≥ 5 μg/dL; 14.3% had PbBs ≥10 μg/dL. Maternal blood levels exceeded RV95s for PbB (76%), CdB (41%), MnB (88%), HgB (57%), and AsB (90%). Of children, 68% had PbBs ≥ 5 μg/dL, and 21.3% had PbB ≥10 μg/dL. Most child blood levels exceeded the RV95s for PbB (100%), CdB (100%), MnB (94%), and total HgB (94%) and AsB (98%). Most mothers (97%) and all children had blood levels indicating exposure to multiple metal/metalloid mixtures. Maternal and child PbBs were moderately correlated with each other but the other four metals/metalloids were not. Factors associated with maternal blood metal/metalloid levels were residence in a home with an earthen floor (PbB) or bare cement block walls (MnB), living near a dirt-paved or cobblestone street (PbB), <50 m from a heavily trafficked major roadway (PbB, HgB), living in the Los Chillos (PbB) or Cotocollao neighborhoods (PbB, HgB), or in areas where street vendors grilled food using charcoal (MnB). Factors associated with child blood metal/metalloid levels were residence in a dirt floor home (PbB, CdB, AsB), living near a dirt-paved or cobblestone street (PbB), living in the El Camal or Cotocollao neighborhoods (AsB), or in local neighborhoods where scrap metal smelters (MnB) and LPG gas depositories (PbB) were present. CONCLUSIONS The elevated blood levels of PbB, other metal/metalloids, and metal/metalloid mixtures identified mothers and children in this exploratory study is an urgent public health and clinical concern. The exposure patterns suggest that traffic-related exposures, especially the resuspension of legacy Pb in dust, as well as other anthropogenic and geogenic sources may be important environmental contributors to metal/metalloid exposures in urban Ecuadorian mothers and children. Future studies are needed to confirm these findings and explore other potential exposure sources. Biomonitoring is also needed in order to formulate effective intervention strategies to reduce population exposure to toxic levels of environmental metals/metalloids.
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Zhang QQ, Li JH, Wang YD, Li XN, Wang JQ, Zhou MY, Dong MR, Chen GM, Ye YF, Zhang HH, Zhu W, Liu T, Zhang B. Association between maternal thallium exposure and risk of gestational diabetes mellitus: Evidence from a birth cohort study. CHEMOSPHERE 2021; 270:128637. [PMID: 33097235 DOI: 10.1016/j.chemosphere.2020.128637] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/08/2020] [Accepted: 10/11/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The adverse effects of TI exposure on pregnant women are still unclear, especially regarding the risk of gestational diabetes mellitus (GDM) Objective: We explored the association between maternal urinary Tl burden and the risk of GDM. METHODS A subsample of 1789 pregnant women were enrolled who provided spot urine samples before the diagnostic 75-g oral glucose tolerance test. Urinary Tl concentration was measured using inductively coupled plasma mass spectrometry. Logistic regression and covariance analysis were carried out to estimate the association between Tl exposure and GDM risk. RESULTS The median of urinary Tl concentration was 0.382 μg/L or 0.525 μg/g creatinine (CC-Tl). There were 437 (24.4%) participants who were diagnosed with GDM, and the urinary CC-Tl concentrations of pregnant women with GDM were higher than that of pregnant women without GDM [0.548 (0.402, 0.788) vs 0.518 (0.356, 0.724), p = 0.014]. After adjusting for the relevant covariates, an association between urinary Tl concentrations and GDM was found. In comparison to the pregnant women in the lowest quartile of urinary CC-Tl concentration, the pregnant women in the highest quartile had a higher risk of GDM [OR (95% CI) = 1.44 (1.03, 2.02), p-trend = 0.055]. If limited to the pregnant women without family history of diabetes, the results were still robust [OR (95% CI) = 1.59 (1.11, 2.30), p-trend = 0.012]. CONCLUSION Urinary CC-Tl concentration was associated with GDM among Chinese pregnant women. Our findings provide evidence that moderately high Tl exposure may be a novel risk factor for pregnant women health.
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Affiliation(s)
- Qian-Qian Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, PR China
| | - Jin-Hui Li
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Yi-Ding Wang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China
| | - Xiao-Na Li
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, PR China
| | - Jia-Qi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, PR China
| | - Meng-Ya Zhou
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China
| | - Mo-Ran Dong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Gui-Min Chen
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Yu-Feng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, 511400, Guangdong, PR China
| | - Hui-Hong Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China
| | - Wei Zhu
- Department of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, PR China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, PR China; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China.
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, PR China.
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Dietary potato intake and risks of type 2 diabetes and gestational diabetes mellitus. Clin Nutr 2021; 40:3754-3764. [PMID: 34130021 DOI: 10.1016/j.clnu.2021.04.039] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 04/17/2021] [Accepted: 04/21/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND & AIMS Evidence regarding associations between potato consumption and type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) risks is accumulating. This study aims to synthesize the evidence by conducting a meta-analysis of available studies. METHODS PubMed, Web of Science, EMBASE and Cochrane Library were searched (up to August 2020) to retrieve all eligible studies on the associations of interest. The risk estimates with 95% confidence intervals (CIs) were summarized using random- or fixed-effects model based on heterogeneity. Meta-analyses were performed for East and West regions separately. Dose-response relationship was assessed using data from all intake categories in each study. RESULTS A total of 19 studies (13 for T2D; 6 for GDM) were identified, including 21,357 T2D cases among 323,475 participants and 1516 GDM cases among 29,288 pregnancies. Meta-analysis detected a significantly positive association with T2D risk for total potato (RR: 1.19 [1.06, 1.34]), baked/boiled/mashed potato (RR: 1.08 [1.00, 1.16]), and French fries/fried potato (RR: 1.33 [1.03, 1.70]) intakes among Western populations. Dose-response meta-analysis demonstrated a significantly increased T2D risk by 10% (95% CI: 1.07, 1.14; P for trend<0.001), 2% (95% CI: 1.00, 1.04; P for trend = 0.02) and 34% (95% CI: 1.24, 1.46; P for trend<0.001) for each 80 g/day (serving) increment in total potato, unfried potato, and fried potato intakes, respectively. As for GDM, summarized estimates also suggested a higher though non-significant GDM risk for total potato (RR: 1.19 [0.89, 1.58]), and French fries/fried potato (RR: 1.03 [0.97, 1.09]) intakes in Western countries. In the dose-response meta-analysis, a significantly increased GDM risk was revealed for each daily serving (80 g) intakes of total potato (RR: 1.22; 95% CI: 1.06, 1.42; P for trend = 0.007) and unfried potato (RR: 1.26; 95% CI: 1.07, 1.48; P for trend = 0.006). CONCLUSIONS This study suggests that higher potato intake is associated with higher T2D risk among Western populations. The positive relationship presents a significant dose-response manner. Wisely controlled potato consumption may confer potential glucometabolic benefits.
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Onat T, Demir Caltekin M, Turksoy VA, Baser E, Aydogan Kirmizi D, Kara M, Yalvac ES. The Relationship Between Heavy Metal Exposure, Trace Element Level, and Monocyte to HDL Cholesterol Ratio with Gestational Diabetes Mellitus. Biol Trace Elem Res 2021; 199:1306-1315. [PMID: 33219922 DOI: 10.1007/s12011-020-02499-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 11/17/2020] [Indexed: 12/13/2022]
Abstract
The objective of this study is to assess the levels of heavy metals (cadmium, lead, antimony, mercury, and arsenic), which are also called endocrine-disrupting chemicals, and trace elements (chromium-III, chromium-VI, zinc, copper, and selenium) vs. monocyte to HDL ratio among pregnant women with gestational diabetes mellitus (GDM). A total of 112 pregnant women (60 with GDM and 52 healthy women) were included in this case-control study. Analysis of heavy metals and trace elements were performed in inductively coupled plasma mass spectrometer. Heavy metals (cadmium, lead, antimony, mercury, and arsenic), trace elements (chromium-III, chromium-VI, zinc, copper, and selenium), and metabolic parameters were assessed in both groups. It was determined that the levels of cadmium, lead, antimony, and copper were higher (p < 0.05) and levels of chromium-III, zinc, and selenium were lower (p < 0.05) among the GDM group compared to the control group, whereas there was a statistically insignificant difference between the two groups, regarding the levels of copper, mercury, and arsenic (p > 0.05). Moreover, the monocyte to HDL ratio was higher in the GDM group (p < 0.05), and the insulin resistance was significantly higher as well (p < 0.05). The results of our study demonstrated that environmental factors could be effective in the etiology of GDM. Toxic heavy metals, through inducing Cu, OS, and chronic inflammation, and other trace elements, either directly by impacting insulin secretion or through weakening the body's antioxidant defense system, could play a role in the occurrence of GDM.
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Affiliation(s)
- Taylan Onat
- Department of Obstetrics & Gynecology, Yozgat Bozok University Faculty of Medicine, Yozgat, Turkey.
| | - Melike Demir Caltekin
- Department of Obstetrics & Gynecology, Yozgat Bozok University Faculty of Medicine, Yozgat, Turkey
| | - Vugar Ali Turksoy
- Department of Public Health Yozgat, Yozgat Bozok University Faculty of Medicine, Yozgat, Turkey
| | - Emre Baser
- Department of Obstetrics & Gynecology, Yozgat Bozok University Faculty of Medicine, Yozgat, Turkey
| | - Demet Aydogan Kirmizi
- Department of Obstetrics & Gynecology, Yozgat Bozok University Faculty of Medicine, Yozgat, Turkey
| | - Mustafa Kara
- Department of Obstetrics & Gynecology, Kirsehir Ahi Evran University Faculty of Medicine, Kirsehir, Turkey
| | - Ethem Serdar Yalvac
- Department of Obstetrics & Gynecology, Yozgat Bozok University Faculty of Medicine, Yozgat, Turkey
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Zhou Z, Chen G, Li P, Rao J, Wang L, Yu D, Lin D, Fan D, Ye S, Wu S, Gou X, Wang H, Guo X, Lin L, Suo D, Liu Z. Prospective association of metal levels with gestational diabetes mellitus and glucose: A retrospective cohort study from South China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 210:111854. [PMID: 33422839 DOI: 10.1016/j.ecoenv.2020.111854] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 12/15/2020] [Accepted: 12/21/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To explore the prospective correlation between serum metals before 24 weeks' gestation and gestational diabetes mellitus (GDM) or glucose in the late second trimester among southern Chinese pregnant women. METHODS A total of 8169 pregnant women were included in our retrospective cohort study. Logistic regression was used to investigate the relationships between metals (Manganese [Mn], copper [Cu], lead [Pb], calcium [Ca], zinc [Zn], magnesium [Mg]) and GDM. Quantile regression was performed to detect the shifts and associations with metals and three time-points glucose distribution of oral glucose tolerance test (OGTT) focused on the 10th, 50th, and 90th percentiles. Weighted quantile sum (WQS) regression was used to explore the relationship of metal mixtures and GDM as well as glucose. RESULTS Maternal serum concentrations of metals were assessed at mean 16.55 ± 2.92 weeks' gestation. Women with under weight might have 25% decreased risk of GDM for every 50% increase in Cu concentration within the safe limits. A 50% increase in Mn and Zn levels was related to a 0.051 μmol/L (95% CI: 0.033-0.070) and 0.059 μmol/L (95% CI: 0.040-0.079) increase in mean fasting plasma glucose of OGTT (OGTT0), respectively. The magnitude of association with Mn was smaller at the upper tail of OGTT0 distribution, while the magnitude of correlation with Zn was greater at the upper tail. However, there was a 0.012 mmol/L (95% CI: -0.017 to -0.008), 0.028 mmol/L (95% CI: -0.049 to -0.007), and 0.036 mmol/L (95% CI: -0.057 to -0.016) decrease in mean OGTT0 levels for every 50% increase in Pb, Ca, and Mg, respectively. The negative association of Pb, Ca, and Mg was greater at the lower tail of OGTT0 distribution. No significant relationship was observed in Cu and mean OGTT0 level (-0.010 mmol/L, 95% CI: -0.021 to 0.001), however, it showed a protective effect at the upper tail (-0.034 mmol/L, 95% CI: -0.049 to -0.017). No obvious correlation was found between metals and postprandial glucose levels (OGTT1 and OGTT2 from OGTT). The WQS index was significantly related to OGTT0 (P < 0.001). The contribution of Mn (80.19%) to metal mixture index was the highest related to OGTT0, followed by Cu (19.81%). CONCLUSIONS Higher Mn and Zn but lower Pb, Ca, and Mg concentrations within a certain range before 24 weeks' gestation might prospectively impair fasting plasma glucose during pregnancy; a greater focus is required on Mn. It could provide early markers of metal for predicting later glucose and suggest implement intervention for pregnant women.
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Affiliation(s)
- Zixing Zhou
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Gengdong Chen
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Pengsheng Li
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Jiaming Rao
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Lijuan Wang
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Dandan Yu
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Dongxin Lin
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Dazhi Fan
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Shaoxin Ye
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Shuzhen Wu
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Xiaoyan Gou
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Haiyan Wang
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Xiaoling Guo
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China.
| | - Lei Lin
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China.
| | - Dongmei Suo
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China.
| | - Zhengping Liu
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China; Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China.
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Hehua Z, Yang X, Qing C, Shanyan G, Yuhong Z. Dietary patterns and associations between air pollution and gestational diabetes mellitus. ENVIRONMENT INTERNATIONAL 2021; 147:106347. [PMID: 33385926 DOI: 10.1016/j.envint.2020.106347] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/19/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
The prevalence of gestational diabetes mellitus (GDM) has been increasing worldwide. Dietary patterns and air pollution are closely related to the occurrence of GDM. No previous study has explored the interaction effect of air pollution exposure and dietary patterns on GDM. We explored the interaction effect between main dietary patterns and pre-pregnancy exposure to air pollution on the development of GDM based on a prospective birth cohort in Northeast China. A total of 2244 participants were included in this study. Factor analysis was used to identify dietary patterns. We found that long-term exposure to nitrogen dioxide (NO2) and carbon monoxide (CO) before pregnancy was significantly associated with an increased risk of GDM; the animal foods pattern significantly modified these associations. The sub-group analysis showed that compared with a lower intake in the animal foods pattern (NO2, odds ratio [OR] = 1.07, 95% confidence interval [CI]: 0.84, 1.35; CO, OR = 1.05, 95% CI: 0.81, 1.34), higher intake in the animal foods pattern (NO2, OR = 1.41, 95% CI: 1.09, 1.83; CO, OR = 1.36, 95% CI: 1.05, 1.76) before pregnancy increased the hazardous effects of NO2 and CO on GDM development. The intake of animal blood, animal organs, preserved eggs, and processed meat products in animal food pattern could all aggravate the effect of exposure to air pollution due to NO2 and CO on GDM. Our study demonstrated that there was a significant interaction effect between animal foods pattern and exposure to air pollution on GDM. These results provide further scientific evidence of the associations among air pollution, dietary intake, and GDM, and may help as well as the prevention of GDM.
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Affiliation(s)
- Zhang Hehua
- Clinical Research Center, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang City, Liaoning Province 110004, China
| | - Xia Yang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang, Liaoning Province 110004, China
| | - Chang Qing
- Clinical Research Center, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang City, Liaoning Province 110004, China
| | - Gao Shanyan
- Clinical Research Center, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang City, Liaoning Province 110004, China
| | - Zhao Yuhong
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang, Liaoning Province 110004, China.
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Chang CW, Wang CW, Wu DW, Lee WH, Chen YC, Liu YH, Li CH, Tsai CC, Lin WY, Chen SC, Hung CH, Kuo CH, Su HM. Significant association between blood lead (Pb) level and haemoglobin A1c in non-diabetic population. DIABETES & METABOLISM 2021; 47:101233. [PMID: 33497800 DOI: 10.1016/j.diabet.2021.101233] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 12/27/2020] [Accepted: 01/08/2021] [Indexed: 12/19/2022]
Abstract
Although many heavy metals are necessary for normal biological function, a subset of heavy metals have no role in human physiology, such as lead (Pb) and arsenic (As). Such elements have deleterious effects on physiology and be associated with the incidence of diabetes and related metabolic syndromes. Haemoglobin A1c (HbA1c) is not only a useful diagnostic and prognostic parameter in patients with diabetes, but it is also helpful in prediction of future diabetic risk in non-diabetic patients. However, no studies have evaluated the relationship between heavy metal concentration and HbA1c in non-diabetic patients. Therefore, the present study was designed to address this issue. We performed surveys for general populations living in southern Taiwan from June 2016 to September 2018. All participants received face-to-face interviews, laboratory tests, and measurements of weight and height, waist circumference, heart rate, and systolic and diastolic blood pressures. HbA1c was positively associated with Log blood Pb, after adjustments for age, body mass index, fasting blood glucose, total cholesterol, and triglyceride. Additionally, a Log 1 μg/dL increase in Pb was associated with a small (0.819 mmol/mol, 95% confidence interval = 0.072-1.566) increase in HbA1c (P = 0.032). No association with HbA1c was observed for urine nickel, chromium, manganese, As, copper, and cadmium in the multivariable analysis. In conclusion, after adjusting for important clinical parameters, Log blood Pb was positively associated with HbA1c in our non-diabetic population. This finding implies that high blood Pb might have the potential to predict future diabetic risk in non-diabetic populations. Further prospective studies are necessary to validate this issue.
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Affiliation(s)
- Chien-Wei Chang
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Wen Wang
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Da-Wei Wu
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wen-Hsien Lee
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ying-Chih Chen
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Hsueh Liu
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chiu-Hui Li
- Health Management and Occupational Safety Health Centre, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chun-Chi Tsai
- Health Management and Occupational Safety Health Centre, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wen-Yi Lin
- Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Health Management and Occupational Safety Health Centre, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Szu-Chia Chen
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Hsing Hung
- Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chao-Hung Kuo
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ho-Ming Su
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Zhou Z, Yu D, Chen G, Li P, Wang L, Yang J, Rao J, Lin D, Fan D, Wang H, Gou X, Guo X, Suo D, Huang F, Liu Z. Fasting Plasma Glucose Mediates the Prospective Effect of Maternal Metal Level on Birth Outcomes: A Retrospective and Longitudinal Population-Based Cohort Study. Front Endocrinol (Lausanne) 2021; 12:763693. [PMID: 34867806 PMCID: PMC8635137 DOI: 10.3389/fendo.2021.763693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/22/2021] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE Previously, we found that the presence of maternal serum metals before the 24th week of gestation prospectively increased fasting plasma glucose (FPG) at 24-28 weeks. We further explored the prospective association between levels of metals and neonatal outcomes and assessed the mediating effects of FPG on these relationships. METHODS A total of 7,644 pregnant women were included in a retrospective cohort study, and the relationships between metals [manganese (Mn), copper (Cu), lead (Pb), zinc (Zn), and magnesium (Mg)] and birth outcomes were explored. Quantile and linear regressions were performed to detect the shifts and associations between metals and neonatal size distribution focused on the 10th, 50th, and 90th percentiles. Mediation analysis was performed to assess the mediating effect of FPG on metals and birth outcomes. RESULTS After adjustment, a 50% increase in Mn and Zn levels was related to a 0.136-cm (95% CI: 0.067-0.205) and 0.120-cm (95% CI: 0.046-0.193) increase in head circumference, respectively. Based on head circumference distribution, the magnitude of the association with Mn was smaller at the upper tail, while the magnitude of correlation with Zn was greater at the upper tail. A 50% increase in Mn and Zn levels was related to a 0.135-cm (95% CI: 0.058-0.212) and 0.095-cm (95% CI: 0.013-0.178) increase in chest circumference, respectively. The magnitude of the association with Mn increased with increasing chest circumference, while the magnitude of correlation with Zn decreased with increasing chest circumference. FPG explained 10.00% and 17.65% of the associations of Mn with head and chest circumference. A positive indirect effect of Zn associated with head circumference (0.004, 95% CI: 0.002-0.006) and chest circumference (0.005, 95% CI: 0.003-0.008) through FPG was also observed, and the estimated proportion of the mediating effect was 13.79% and 26.32%, respectively. CONCLUSION Maternal serum Mn and Zn levels before the 24th week of gestation may prospectively increase the circumference of the neonatal head and chest. FPG at 24-28 weeks had positive mediating effects on these relationships. Further research is needed to identify a balance between maternal blood glucose and birth size.
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Affiliation(s)
- Zixing Zhou
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Dandan Yu
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Gengdong Chen
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Pengsheng Li
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Lijuan Wang
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Jie Yang
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Jiaming Rao
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Dongxin Lin
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Dazhi Fan
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Haiyan Wang
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Xiaoyan Gou
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Xiaoling Guo
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Dongmei Suo
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- *Correspondence: Zhengping Liu, ; Fang Huang, ; Dongmei Suo,
| | - Fang Huang
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- *Correspondence: Zhengping Liu, ; Fang Huang, ; Dongmei Suo,
| | - Zhengping Liu
- Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- Department of Obstetrics, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
- *Correspondence: Zhengping Liu, ; Fang Huang, ; Dongmei Suo,
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Duan H, Yu L, Tian F, Zhai Q, Fan L, Chen W. Gut microbiota: A target for heavy metal toxicity and a probiotic protective strategy. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 742:140429. [PMID: 32629250 DOI: 10.1016/j.scitotenv.2020.140429] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/02/2020] [Accepted: 06/20/2020] [Indexed: 06/11/2023]
Abstract
There is growing epidemiological evidence that heavy metals (HMs) may contribute to the progression of various metabolic diseases and that the etiology and progression of these diseases is partly due to HM-induced perturbations of the gut microbiota. Importantly, the gut microbiota are the first line of defense against the toxic effects of HMs, and there is a bidirectional relationship between the two. Thus, HM exposure alters the composition and metabolic profile of the gut microbiota at the functional level, and in turn, the gut microbiota alter the uptake and metabolism of HMs by acting as a physical barrier to HM absorption and by altering the pH, oxidative balance, and concentrations of detoxification enzymes or proteins involved in HM metabolism. Moreover, the gut microbiota can affect the integrity of the intestinal barrier, which may also in turn affect the absorption of HMs. Specifically, probiotic have been shown to reduce the absorption of HMs in the intestinal tract via the enhancement of intestinal HM sequestration, detoxification of HMs in the gut, changing the expression of metal transporter proteins, and maintaining the gut barrier function. This review is a summary of the bidirectional relationship between HMs and gut microbiota and of the probiotic-based protective strategies against HM-induced gut dysbiosis, with reference to strategies used in the food industry or for medically alleviating HM toxicity.
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Affiliation(s)
- Hui Duan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Leilei Yu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; International Joint Research Laboratory for Probiotics at Jiangnan University, Wuxi, Jiangsu 214122, China.
| | - Fengwei Tian
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; International Joint Research Laboratory for Probiotics at Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Qixiao Zhai
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; International Joint Research Laboratory for Probiotics at Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Liuping Fan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu 214122, China.
| | - Wei Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu 214122, China; International Joint Research Laboratory for Probiotics at Jiangnan University, Wuxi, Jiangsu 214122, China
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Frye RE, Cakir J, Rose S, Delhey L, Bennuri SC, Tippett M, Palmer RF, Austin C, Curtin P, Arora M. Early life metal exposure dysregulates cellular bioenergetics in children with regressive autism spectrum disorder. Transl Psychiatry 2020; 10:223. [PMID: 32636364 PMCID: PMC7341836 DOI: 10.1038/s41398-020-00905-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/11/2020] [Accepted: 06/16/2020] [Indexed: 12/21/2022] Open
Abstract
Neurodevelopmental regression (NDR) is a subtype of autism spectrum disorder (ASD) that manifests as loss of previously acquired developmental milestones. Early life dysregulation of nutritional metals and/or exposure to toxic metals have been associated with ASD, but the underlying biological mechanisms by which metals influence neurodevelopment remain unclear. We hypothesize that metals influences neurodevelopment through dysregulation of bioenergetics. Prenatal and early postnatal metal exposures were measured using validated tooth-matrix biomarkers in 27 ASD cases (13 with NDR) and 7 typically-developing (TD) controls. Mitochondrial respiration and glycolysis were measured in peripheral blood mononuclear cells using the Seahorse XF96. Children with ASD demonstrated lower prenatal and postnatal Copper (Cu) and prenatal Nickel concentrations and Copper-to-Zinc (Cu/Zn) ratio as compared with TD children. Children with ASD and NDR showed greater metal-related disruption of cellular bioenergetics than children with ASD without NDR. For children with ASD and NDR mitochondrial respiration decreased as prenatal Manganese concentration increased and increased as prenatal Zinc concentration increased; glycolysis decreased with increased exposure to prenatal Manganese and Lead and postnatal Manganese. For children with ASD without a history of NDR, glycolysis increased with increased postnatal exposure to Tin. Language and communication scores in children with ASD were positively related to prenatal Cu exposure and Cu/Zn ratio. This study suggests that prenatal nutritional metals may be important for neurodevelopment in children with ASD, and that exposure to toxic metals and differences in nutritional metal exposures is associated with dysregulation of cellular bioenergetics, particularly in the NDR subtype of ASD.
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Affiliation(s)
- Richard E. Frye
- grid.427785.b0000 0001 0664 3531Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona College of Medicine – Phoenix, Phoenix, AZ USA
| | - Janet Cakir
- grid.40803.3f0000 0001 2173 6074North Carolina State University, Raleigh, NC USA
| | - Shannon Rose
- grid.488749.eArkansas Children’s Research Institute, Little Rock, AR USA ,grid.241054.60000 0004 4687 1637Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR USA
| | - Leanna Delhey
- grid.488749.eArkansas Children’s Research Institute, Little Rock, AR USA ,grid.241054.60000 0004 4687 1637Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR USA
| | - Sirish C. Bennuri
- grid.488749.eArkansas Children’s Research Institute, Little Rock, AR USA ,grid.241054.60000 0004 4687 1637Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR USA
| | - Marie Tippett
- grid.488749.eArkansas Children’s Research Institute, Little Rock, AR USA ,grid.241054.60000 0004 4687 1637Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR USA
| | - Raymond F. Palmer
- grid.267309.90000 0001 0629 5880Department of Family and Community Medicine, University of Texas Health Science Center, San Antonio, TX USA
| | - Christine Austin
- grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Paul Curtin
- grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Manish Arora
- grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
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Zhang Q, Li X, Liu X, Dong M, Xiao J, Wang J, Zhou M, Wang Y, Ning D, Ma W, Zhu W, Liu T, Zhang B. Association between maternal antimony exposure and risk of gestational diabetes mellitus: A birth cohort study. CHEMOSPHERE 2020; 246:125732. [PMID: 31927364 DOI: 10.1016/j.chemosphere.2019.125732] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/05/2019] [Accepted: 12/22/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND A small number of epidemiological studies have suggested the association of antimony (Sb) exposure with type 2 diabetes risk. However, little is known about the relationship between Sb exposure during pregnancy and risk of gestational diabetes mellitus (GDM). OBJECTIVES To investigate the associations of urinary Sb concentrations with GDM risk and blood glucose levels in pregnant women. METHODS We analyzed the baseline data of 1789 pregnant women enrolled in the Birth Cohort Study on Prenatal Environments and Offspring Health (PEOH) in Guangzhou, China. Sb concentrations in urine were measured by inductively coupled plasma mass spectrometry (ICP-MS). Logistic regression and analysis of covariance were used to evaluate associations of Sb exposure with GDM risk and blood glucose levels. RESULTS A total of 437 (24.4%) women were diagnosed with GDM. The relative risk of GDM for women in the highest quartile of creatinine-corrected Sb (CC-Sb) concentrations was 1.55 [RR (95% CI) = 1.55 (1.12, 2.15), p-trend = 0.005], compared with women in the lowest quartile. Moreover, the women in the top quartile of CC-Sb levels had a 5.2% higher 1 h blood glucose and a 4.2% higher 2 h blood glucose than those in the bottom quartile. We also found an interactive effect between maternal age and CC-Sb on the risk of GDM (p-interaction < 0.001). CONCLUSION This study suggested significant positive associations of Sb exposure with increased GDM risk and impaired blood glucose homeostasis in pregnant women, and the Sb-GDM association might be modified by maternal age.
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Affiliation(s)
- Qianqian Zhang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xiaona Li
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xin Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Jing Wang
- Institute of Public Health Service Testing, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Mengya Zhou
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Yiding Wang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Dan Ning
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China
| | - Wei Zhu
- Department of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, Guangdong, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, Guangdong, China.
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China.
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Drago G, Ruggieri S, Bianchi F, Sampino S, Cibella F. Birth Cohorts in Highly Contaminated Sites: A Tool for Monitoring the Relationships Between Environmental Pollutants and Children's Health. Front Public Health 2020; 8:125. [PMID: 32411642 PMCID: PMC7198735 DOI: 10.3389/fpubh.2020.00125] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 03/27/2020] [Indexed: 12/15/2022] Open
Abstract
Industrial areas are characterized by the dispersion of environmental stressors that could possibly have long-term detrimental effects on both human health and the environment. Environmental contamination has been indicated to be one of the major risks for reproductive health. In this context, the effects of environmental pollution on pregnant women living in heavily polluted areas is of special interest. In fact, fetal development is a crucial phase due to the dynamic interaction between the maternal/external environments and the developing organs and tissues. Moreover, following Barker's postulate of the intrauterine origin of health and disease, the events occurring in this time window could affect future health. Birth cohorts provide the most suitable design for assessing the association between early-life and possible long-term health outcomes in highly contaminated sites. By providing an assessment of the early life environment throughout the collection of biological samples, birth cohorts offer the opportunity to study in-depth several possible confounders and outcomes by means of questionnaires and follow-ups based on clinical evaluations and bio-specimen samplings. The exposome comprises the totality of exposures from conception onwards; the birth cohort approach allows the integration of the exposures as a whole, including those related to socioeconomic status, with "omics" data from biological samples collected at birth and throughout life. In the characterization of the "fetal exposome," the placenta represents a highly informative and scarcely considered organ. For this purpose, the "Neonatal Environment and Health Outcomes" (NEHO) birth cohort has been established by enrolling pregnant women residing in contaminated sites and in surrounding areas.
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Affiliation(s)
- Gaspare Drago
- National Research Council of Italy, Institute for Biomedical Research and Innovation, Palermo, Italy
| | - Silvia Ruggieri
- National Research Council of Italy, Institute for Biomedical Research and Innovation, Palermo, Italy
| | - Fabrizio Bianchi
- National Research Council of Italy, Institute of Clinical Physiology, Pisa, Italy
| | - Silvestre Sampino
- Department of Experimental Embryology, Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, Jastrzebiec, Poland
| | - Fabio Cibella
- National Research Council of Italy, Institute for Biomedical Research and Innovation, Palermo, Italy
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Huang Y, Li X, Zhang W, Su W, Zhou A, Xu S, Li Y, Chen D. Aluminum Exposure and Gestational Diabetes Mellitus: Associations and Potential Mediation by n-6 Polyunsaturated Fatty Acids. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:5031-5040. [PMID: 32204592 DOI: 10.1021/acs.est.9b07180] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
As the earth's third most abundant element with various industrial applications, aluminum (Al) has received increasing concerns over its potential adverse health effects. Although Al exposure has been suggested to increase the risks of type 2 diabetes, little has been done to explore Al exposure in pregnant women and potential impact on the incidence of gestational diabetes mellitus (GDM). Our present study demonstrated positive associations between Al concentrations in maternal plasma collected in the first trimester of pregnancy and GDM risks (Ptrend < 0.001) based on a nested case-control study from Wuhan, China, including 305 GDM cases and 305 healthy controls. The highest tertile of plasma Al concentrations corresponded to an odds ratio of 4.03 (95% confidence interval: [2.14, 7.58]) relative to the lowest tertile, after the adjustment for established GDM risk factors and other plasma metals. We also observed significant correlations between plasma Al and several plasma polyunsaturated fatty acids (PUFA; e.g., linoleic acid 18:2 n-6) levels. In addition, mediation effects on the associations of Al exposure with GDM risks were observed for n-6 PUFAs (estimated mediation percentage: 48.3%) and total PUFAs (48.9%). Our study is not only by far the largest study of its kind to demonstrate maternal Al exposure and the association with GDM risks, but it also offers an insight into the potential mediation roles of n-6 PUFAs in an epidemiological setting. These findings contribute to a better understanding of perinatal Al exposure and GDM risks.
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Affiliation(s)
- Yichao Huang
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Xinping Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Wenxin Zhang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Weijie Su
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Aifen Zhou
- Wuhan Medical & Healthcare Center for Women and Children, Wuhan, Hubei 430015, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Da Chen
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
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