1
|
Zhang J, Li SP, Li QQ, Zhang YT, Dong GH, Canchola A, Zeng X, Chou WC. Development of a Physiologically Based Pharmacokinetic (PBPK) Model for F-53B in Pregnant Mice and Its Extrapolation to Humans. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:18928-18939. [PMID: 39394996 PMCID: PMC11500426 DOI: 10.1021/acs.est.4c05405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 09/28/2024] [Accepted: 09/30/2024] [Indexed: 10/14/2024]
Abstract
Chlorinated polyfluorinated ether sulfonic acid (F-53B), a commonly utilized alternative for perfluorooctane sulfonate, was detected in pregnant women and cord blood recently. However, the lack of detailed toxicokinetic information poses a significant challenge in assessing the human risk assessment for F-53B exposure. Our study aimed to develop a physiologically based pharmacokinetic (PBPK) model for pregnant mice, based on toxicokinetic experiments, and extrapolating it to humans. Pregnant mice were administered 80 μg/kg F-53B orally and intravenously on gestational day 13. F-53B concentrations in biological samples were analyzed via ultraperformance liquid chromatography-mass spectrometry. Results showed the highest F-53B accumulation in the brain, followed by the placenta, amniotic fluid, and liver in fetal mice. These toxicokinetic data were applied to F-53B PBPK model development and evaluation, and Monte Carlo simulations were used to characterize the variability and uncertainty in the human population. Most of the predictive values were within a 2-fold range of experimental data (>72%) and had a coefficient of determination (R2) greater than 0.68. The developed mouse model was then extrapolated to the human and evaluated with human biomonitoring data. Our study provides an important step toward improving the understanding of toxicokinetics of F-53B and enhancing the quantitative risk assessments in sensitive populations, particularly in pregnant women and fetuses.
Collapse
Affiliation(s)
- Jing Zhang
- Joint
International Research Laboratory of Environment and Health, Ministry
of Education, Guangdong Provincial Engineering Technology Research
Center of Environmental Pollution and Health Risk Assessment, Department
of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shen-Pan Li
- Joint
International Research Laboratory of Environment and Health, Ministry
of Education, Guangdong Provincial Engineering Technology Research
Center of Environmental Pollution and Health Risk Assessment, Department
of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qing-Qing Li
- Acacia
Lab for Implementation Science, Institute for Global Health, Dermatology Hospital of Southern Medical University, Guangzhou 510515, China
| | - Yun-Ting Zhang
- Joint
International Research Laboratory of Environment and Health, Ministry
of Education, Guangdong Provincial Engineering Technology Research
Center of Environmental Pollution and Health Risk Assessment, Department
of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Joint
International Research Laboratory of Environment and Health, Ministry
of Education, Guangdong Provincial Engineering Technology Research
Center of Environmental Pollution and Health Risk Assessment, Department
of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Alexa Canchola
- Department
of Environmental Sciences, University of
California, Riverside, California 92521, United States
- Environmental
Toxicology Graduate Program, University
of California, Riverside, California 92521, United States
| | - Xiaowen Zeng
- Joint
International Research Laboratory of Environment and Health, Ministry
of Education, Guangdong Provincial Engineering Technology Research
Center of Environmental Pollution and Health Risk Assessment, Department
of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wei-Chun Chou
- Department
of Environmental Sciences, University of
California, Riverside, California 92521, United States
- Environmental
Toxicology Graduate Program, University
of California, Riverside, California 92521, United States
| |
Collapse
|
2
|
Aali G, Porter AK, Hoffmann S, Longnecker MP, Shokraneh F. Gestational diabetes mellitus in relation to serum per- and polyfluoroalkyl substances: A scoping review to evaluate the need for a new systematic review. F1000Res 2024; 12:1595. [PMID: 39411687 PMCID: PMC11474155 DOI: 10.12688/f1000research.144376.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/02/2024] [Indexed: 10/19/2024] Open
Abstract
Background Per- and polyfluoroalkyl substances (PFAS) were used or are being used in the manufacturing of products, including consumer-use products. The resulting environmental contamination has led to widespread human exposure. This review aimed to scope the characteristics of evidence covered and applied methodology of evidence to understand -- regardless of any results on the association of gestational diabetes mellitus (GDM) and PFAS -- if a new systematic review would be justified. Methods We systematically identified reports investigating associations of PFAS with GDM following a pre-specified and pre-registered PECO framework and protocol. Results The previous systematic reviews included 8-11 reports and either conducted meta-analyses stratified by comparator, analyzed results based on only high and low exposure categories, or pooled results across comparators. Included 20 reports presented data on 24 PFAS with PFOA, PFOS, PFHxS, PFNA, and PFDA being examined in almost all. The comparators employed were heterogeneous across the reports. Conclusions Because data from at least one new report on GDM is available since the previous systematic reviews and heterogeneous comparators, an updated systematic review using SWiM could add value to the literature.
Collapse
Affiliation(s)
- Ghazaleh Aali
- Department of Evidence Synthesis, Systematic Review Consultants LTD, Oxford, UK
| | | | | | | | - Farhad Shokraneh
- Department of Evidence Synthesis, Systematic Review Consultants LTD, Oxford, UK
| |
Collapse
|
3
|
Cinzori ME, Pacyga DC, Rosas L, Whalen J, Smith S, Park JS, Geiger SD, Gardiner JC, Braun JM, Schantz SL, Strakovsky RS. Associations of per- and polyfluoroalkyl substances with maternal metabolic and inflammatory biomarkers in early-to-mid-pregnancy. ENVIRONMENTAL RESEARCH 2024; 250:118434. [PMID: 38346483 PMCID: PMC11102845 DOI: 10.1016/j.envres.2024.118434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/02/2024] [Accepted: 02/04/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) can disrupt metabolism. Early-to-mid pregnancy is characterized by amplified metabolic processes and inflammation to support maternal adaptations and fetal growth. Thus, we cross-sectionally evaluated whether PFAS are individually and jointly associated with these processes in early-to-mid pregnancy. METHODS Pregnant Illinois women (n = 452) provided fasted blood samples at median 17 weeks gestation. We quantified serum perfluorononanoic (PFNA), perfluorooctane sulfonic (PFOS), perfluorooctanoic (PFOA), methyl-perfluorooctane sulfonamide acetic acid (Me-PFOSA-AcOH), perfluorohexanesulfonic (PFHxS), perfluorodecanoic (PFDeA), and perfluoroundecanoic (PFUdA) acid. Key outcomes were plasma glucose, insulin, C-peptide, insulin-like growth factor 1 (IGF-1), adiponectin, leptin, triglycerides, free fatty acids, total cholesterol, high-density lipoprotein (HDL) cholesterol, C-reactive protein, tumor necrosis factor alpha (TNF-α), monocyte chemoattractant protein-1 (MCP-1), and interleukin 6. We calculated homeostatic model assessment for insulin resistance (HOMA-IR), low-density lipoprotein (LDL) cholesterol, and very low-density lipoprotein (VLDL). We evaluated associations of PFAS with each metabolic/inflammatory biomarker individually using covariate-adjusted linear regression and jointly using quantile-based g-computation. RESULTS In linear regression, all PFAS (except Me-PFOSA-AcOH) were negatively associated with insulin, HOMA-IR, and leptin, whereas all PFAS were positively associated with HDL cholesterol. We also observed negative associations of some PFAS with TNF-α and MCP-1; positive associations with adiponectin and total cholesterol also emerged. Additionally, PFOS was positively, whereas Me-PFOSA-AcOH was negatively, associated with triglycerides and VLDL. Each 25% increase in the PFAS mixture was associated with -31.3% lower insulin (95%CI: -45.8, -12.9), -31.9% lower HOMA-IR (95%CI: -46.4, -13.4), and -9.4% lower leptin (95%CI: -17.3, -0.8), but 7.4% higher HDL cholesterol (95%CI: 4.6, 10.3). For most outcomes, the major contributors to the PFAS mixture often differed compared to single-PFAS analyses. IMPLICATIONS Individual and joint PFAS exposures were associated with markers of maternal metabolism and inflammation in pregnancy. Further investigation is needed to elucidate possible mechanisms and consequences of these findings.
Collapse
Affiliation(s)
- Maria E Cinzori
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, 48824, USA; Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, 48824, USA; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, 48824, USA
| | - Diana C Pacyga
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, 48824, USA; Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, 48824, USA
| | - Libeth Rosas
- The Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, IL, 61801, USA
| | - Jason Whalen
- Michigan Diabetes Research Center Chemistry Laboratory, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sabrina Smith
- Environmental Chemistry Laboratory, Department of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA, 94710, USA
| | - June-Soo Park
- Environmental Chemistry Laboratory, Department of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA, 94710, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA 94158, USA
| | - Sarah D Geiger
- The Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, IL, 61801, USA; Department of Kinesiology and Community Health, University of Illinois, Urbana-Champaign, IL 61801, USA
| | - Joseph C Gardiner
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, 48824, USA
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, 02912, USA
| | - Susan L Schantz
- The Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, IL, 61801, USA; Department of Comparative Biosciences, University of Illinois, Urbana-Champaign, IL 61802, USA
| | - Rita S Strakovsky
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, 48824, USA; Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, 48824, USA.
| |
Collapse
|
4
|
Pan J, Ouyang C, Zhou S, Wang X, Liu H, Zhang J, Wang X, Shi X, Yang A, Hu X. Temporal Trend of Serum Perfluorooctanoic Acid and Perfluorooctane Sulfonic Acid among U.S. Adults with or without Comorbidities in NHANES 1999-2018. TOXICS 2024; 12:314. [PMID: 38787093 PMCID: PMC11125848 DOI: 10.3390/toxics12050314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/25/2024]
Abstract
Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are associated with adverse health effects. This study examined the trend of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) levels in individuals with and without pre-existing comorbidities. We analyzed the characteristics of 13,887 participants across nine U.S. NHANES cycles (1999-2000 to 2017-2018) and calculated the geometric mean (GM) of PFOA and PFOS levels, standardized by sex and age. A joinpoint regression model was used to analyze the temporal trends of serum PFOA and PFOS levels. We observed declining PFOA and PFOS serum levels among adults in NHANES from 1999-2000 to 2017-2018. Serum PFOA and PFOS concentrations were higher in men, smokers, and individuals with pre-existing CKD, hyperlipidemia, CVD, and cancer. We observed faster decline rates in PFOA levels among individuals with diabetes and CKD and faster decline rates in PFOS levels among individuals with diabetes and those without CKD. This study provided evidence of varying levels and changing trends of PFOA and PFOS between groups with and without established chronic disease, highlighting the role of environmental chemicals in the onset and development of chronic diseases.
Collapse
Affiliation(s)
- Jinhua Pan
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Changping Ouyang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Shengze Zhou
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Xuemei Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Heming Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Jia Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Xiao Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Xiaoru Shi
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong 999077, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong 999077, China
| | - Xiaobin Hu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; (J.P.); (C.O.); (S.Z.); (X.W.); (H.L.); (J.Z.); (X.W.); (X.S.)
| |
Collapse
|
5
|
Khoury N, Ángeles Martínez M, Nishi SK, Ángel Martínez-González M, Corella D, Castañer O, Alfredo Martínez J, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Manuel Santos-Lozano J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Cinza Sanjurjo S, Pintó X, Juan Gaforio J, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Sayon-Orea C, V Sorli J, Pérez-Vega KA, Garcia-Rios A, Ortiz-Díaz F, Gómez-Gracia E, Zulet MA, Chaplin A, Casas R, Salcedo-Bellido I, Tojal-Sierra L, Bernal-Lopez MR, Vazquez-Ruiz Z, Asensio EM, Goday A, Peña-Orihuela PJ, Signes-Pastor AJ, Garcia-Arellano A, Fitó M, Babio N, Salas-Salvadó J. Dietary intake of Perfluorooctanesulfonic acid (PFOS) and glucose homeostasis parameters in a non-diabetic senior population. ENVIRONMENT INTERNATIONAL 2024; 186:108565. [PMID: 38574403 DOI: 10.1016/j.envint.2024.108565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/26/2024] [Accepted: 03/04/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Endocrine disruptors (EDs) have emerged as potential contributors to the development of type-2 diabetes. Perfluorooctane sulfonate (PFOS), is one of these EDs linked with chronic diseases and gathered attention due to its widespread in food. OBJECTIVE To assess at baseline and after 1-year of follow-up associations between estimated dietary intake (DI) of PFOS, and glucose homeostasis parameters and body-mass-index (BMI) in a senior population of 4600 non-diabetic participants from the PREDIMED-plus study. METHODS Multivariable linear regression models were conducted to assess associations between baseline PFOS-DI at lower bound (LB) and upper bound (UB) established by the EFSA, glucose homeostasis parameters and BMI. RESULTS Compared to those in the lowest tertile, participants in the highest tertile of baseline PFOS-DI in LB and UB showed higher levels of HbA1c [β-coefficient(CI)] [0.01 %(0.002 to 0.026), and [0.06 mg/dL(0.026 to 0.087), both p-trend ≤ 0.001], and fasting plasma glucose in the LB PFOS-DI [1.05 mg/dL(0.050 to 2.046),p-trend = 0.022]. Prospectively, a positive association between LB of PFOS-DI and BMI [0.06 kg/m2(0.014 to 0.106) per 1-SD increment of energy-adjusted PFOS-DI was shown. Participants in the top tertile showed an increase in HOMA-IR [0.06(0.016 to 0.097), p-trend = 0.005] compared to participants in the reference tertile after 1-year of follow-up. DISCUSSION This is the first study to explore the association between DI of PFOS and glucose homeostasis. In this study, a high baseline DI of PFOS was associated with a higher levels of fasting plasma glucose and HbA1c and with an increase in HOMA-IR and BMI after 1-year of follow-up.
Collapse
Affiliation(s)
- Nadine Khoury
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - María Ángeles Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Stephanie K Nishi
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Spain; Osakidetza Basque Health Service, Araba University Hospital, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN Research Group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretat Alimentària (INSA), University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Sergio Cinza Sanjurjo
- CS Milladoiro, Área Sanitaria de Santiago de Compostela, Spain; Instituto de Investigación de Santiago de Compostela (IDIS), Spain; Centro de Investigación Biomédica en Red-Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - José Juan Gaforio
- University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain; Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Carmen Sayon-Orea
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla-Alejandra Pérez-Vega
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | | | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN Research Group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - M A Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretat Alimentària (INSA), University of Barcelona, Barcelona, Spain
| | - Inmaculada Salcedo-Bellido
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria ibs. GRANADA, 18014 Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Spain; Osakidetza Basque Health Service, Araba University Hospital, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Maria-Rosa Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Internal Medicine Clinical Management Unit, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA-Plataforma BIONAND), Universidad de Málaga, Spain
| | - Zenaida Vazquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Eva M Asensio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Antonio J Signes-Pastor
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Ana Garcia-Arellano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| |
Collapse
|
6
|
Feng Y, Wu H, Feng L, Zhang R, Feng X, Wang W, Xu H, Fu F. Maternal F-53B exposure during pregnancy and lactation induced glucolipid metabolism disorders and adverse pregnancy outcomes by disturbing gut microbiota in mice. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170130. [PMID: 38242462 DOI: 10.1016/j.scitotenv.2024.170130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 01/21/2024]
Abstract
In the metal plating industry, F-53B has been widely used for almost half a century as a replacement for perfluorooctane sulfonate. However, F-53B can reach the food chain and affect human health. Pregnant women have distinct physiological characteristics and may thus be more sensitive to the toxicity of F-53B. In the present study, F-53B was added to the drinking water of pregnant mice during gestation and lactation at doses of 0 mg/L (Ctrl), 0.57 mg/L (L-F), and 5.7 mg/L (H-F). The aim was to explore the potential effects of F-53B on glucolipid metabolism and pregnancy outcomes in dams. Results showed that F-53B induced disordered glucolipid metabolism, adverse pregnancy outcomes, hepatic inflammation, oxidative stress and substantially altered related biochemical parameters in maternal mice. Moreover, F-53B induced remarkable gut barrier damage and gut microbiota perturbation. Correlation analysis revealed that gut microbiota is associated with glucolipid metabolism disorders and hepatic inflammation. The fecal microbiota transplant experiment demonstrated that altered gut microbiota induced by F-53B caused metabolic disorders, adverse pregnancy outcomes, and gut barrier damage. These results suggested that maternal mice exposed to F-53B during gestation and lactation had an increased risk of developing metabolic disorders and adverse pregnancy outcomes and highlighted the crucial role of the gut microbiota in this process, offering novel insights into the risk of F-53B to health.
Collapse
Affiliation(s)
- Yueying Feng
- The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang 330000, China; State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China
| | - Hua Wu
- The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang 330000, China; State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China
| | - Lihua Feng
- The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang 330000, China; State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China
| | - Ruiying Zhang
- The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang 330000, China; State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China
| | - Xiaoyan Feng
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China
| | - Wanzhen Wang
- The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang 330000, China
| | - Hengyi Xu
- State Key Laboratory of Food Science and Resource, Nanchang University, Nanchang 330047, China.
| | - Fen Fu
- The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang 330000, China.
| |
Collapse
|
7
|
Zhang X, Zhou X, Chen H, Gao X, Zhou Y, Lee HK, Huang Z. Changes in Concentrations of Polyfluoroalkyl Substances in Human Milk Over Lactation Time and Effects of Maternal Exposure via Analysis of Matched Samples. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4115-4126. [PMID: 38390687 DOI: 10.1021/acs.est.3c09896] [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: 02/24/2024]
Abstract
Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are potentially related to many adverse health outcomes and could be transferred from maternal blood to human milk, which is an important exposure source for infants during a long-term period. In this study, the maternal blood of 76 women after delivery and their matched human milk samples obtained at 0.5, 1, and 3 months were analyzed by solid-phase extraction method with metal-organic framework/polymer hybrid nanofibers as the sorbents and ultrahigh-performance liquid chromatography-negative electrospray ionization mass spectrometric for quantitative analysis of 31 PFAS. The perfluorooctanoic acid, perfluorooctane sulfonate, and N-methyl perfluorooctane sulfonamido acetic acid (N-MeFOSAA) contributed to more than approximately 50% of the total PFAS concentrations in blood and human milk, while N-MeFOSAA (median: 0.274 ng/mL) was the highest PFAS in human milk at 3 months. The transfer efficiencies for PFAS from maternal blood to human milk at 0.5 months were generally lower, with medians ranging from 0.20% to 16.9%. The number of PFAS species detected in human milk increased as the lactation time went on from 0.5 to 3 months, and the concentrations of 10 PFAS displayed an increasing trend as the prolongation of lactation time (p < 0.05).
Collapse
Affiliation(s)
- Xin Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, PR China
| | - Xingyan Zhou
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, PR China
| | - Huijun Chen
- Department of Gynecology and Obstetrics, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Xinyi Gao
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, PR China
| | - Yan Zhou
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, PR China
| | - Hian Kee Lee
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore
| | - Zhenzhen Huang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, PR China
| |
Collapse
|
8
|
Yang L, Yao Y, Zeng Y, Yu S, Liu Y, An Q, Aamir M, Xu C, Hayat K, Liu W. Exposure to Short- and Medium-Chain Chlorinated Paraffins and the Risk of Gestational Diabetes Mellitus: A Nested Case-Control Study in Eastern China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:3665-3676. [PMID: 38358856 DOI: 10.1021/acs.est.3c08064] [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: 02/17/2024]
Abstract
Toxicological studies have indicated that exposure to chlorinated paraffins (CPs) may disrupt intracellular glucose and energy metabolism. However, limited information exists regarding the impact of human CP exposure on glucose homeostasis and its potential association with an increased risk of developing gestational diabetes mellitus (GDM). Here, we conducted a prospective study with a nested case-control design to evaluate the link between short- and medium-chain CP (SCCPs and MCCPs) exposures during pregnancy and the risk of GDM. Serum samples from 102 GDM-diagnosed pregnant women and 204 healthy controls were collected in Hangzhou, Eastern China. The median (interquartile range, IQR) concentration of SCCPs was 161 (127, 236) ng/mL in the GDM group compared to 127 (96.9, 176) ng/mL in the non-GDM group (p < 0.01). For MCCPs, the GDM group had a median concentration of 144 (117, 174) ng/mL, while the control group was 114 (78.1, 162) ng/mL (p < 0.01). Compared to the lowest quartile as the reference, the adjusted odds ratios (ORs) of GDM were 7.07 (95% CI: 2.87, 17.40) and 3.34 (95% CI: 1.48, 7.53) in the highest quartile of ∑SCCP and ∑MCCP levels, respectively, with MCCPs demonstrating an inverted U-shaped association with GDM. Weighted quantile sum regression evaluated the joint effects of all CPs on GDM and glucose homeostasis. Among all CP congeners, C13H23Cl5 and C10H16Cl6 were the crucial variables driving the positive association with the GDM risk. Our results demonstrated a significant positive association between CP concentration in maternal serum and GDM risk, and exposure to SCCPs and MCCPs may disturb maternal glucose homeostasis. These findings contribute to a better understanding of the health risks of CP exposure and the role of environmental contaminants in the pathogenesis of GDM.
Collapse
Affiliation(s)
- Lina Yang
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yu Yao
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yujia Zeng
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shijie Yu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yingxue Liu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qi An
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Muhammad Aamir
- Key Laboratory of Pollution Exposure and Health Intervention, Interdisciplinary Research Academy, Zhejiang Shuren University, Hangzhou 310015, China
| | - Chenye Xu
- College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China
| | - Kashif Hayat
- Key Laboratory of Pollution Exposure and Health Intervention, Interdisciplinary Research Academy, Zhejiang Shuren University, Hangzhou 310015, China
| | - Weiping Liu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Key Laboratory of Pollution Exposure and Health Intervention, Interdisciplinary Research Academy, Zhejiang Shuren University, Hangzhou 310015, China
| |
Collapse
|
9
|
Mao D, Ding G, Wang Z, Zhao J, Li H, Lei X, Zheng J, Zhang Y, Shi R, Yuan T, Liu Z, Gao Y, Tian Y. Associations of legacy perfluoroalkyl and polyfluoroalkyl substances, alternatives, and isomers with gestational diabetes mellitus and glucose homeostasis among women conceiving through assisted reproduction in Shanghai, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:14088-14102. [PMID: 38273080 DOI: 10.1007/s11356-023-31605-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 12/14/2023] [Indexed: 01/27/2024]
Abstract
Prior research has reported that perfluoroalkyl and polyfluoroalkyl substances (PFAS) may be linked to impaired glucose homeostasis in pregnant women. However, few studies have investigated PFAS alternatives and isomers, and even less is known about the association among women conceiving through assisted reproductive technology (ART). The prospective cohort study aimed to explore associations of legacy PFAS, alternatives and isomers with gestational diabetes mellitus (GDM) and glucose homeostasis during pregnancy among 336 women conceiving through ART. Nineteen PFAS, including nine linear legacy PFAS, four short-chain alternatives, four branched isomers, and two emerging PFAS alternatives, were determined in first-trimester maternal serum. Fasting plasma glucose (FPG), 1-h and 2-h glucose concentrations following the oral glucose tolerance test (OGTT), and glycated hemoglobin (HbA1c) were measured during the second trimester. After adjusting for confounding variables, nearly half of individual PFAS (10/19) and PFAS mixtures were correlated with increased GDM risk or elevated 2-h glucose levels. Among PFAS congeners, emerging PFAS alternatives, chlorinated perfluoroalkyl ether sulfonic acids (Cl-PFESAs), showed a notable association with impaired glucose homeostasis. For example, 6:2 Cl-PFESA exhibited a correlation with GDM (OR = 1.31, 95% CI = 1.02, 1.68) and 2-h glucose concentrations (β = 0.22, 95% CI = 0.08, 0.36), and contributed most to the overall association with 2-h glucose concentrations. Compared to those diagnosed with male factor infertility, the associations were more pronounced in infertile women with reproductive endocrine diseases. We provide evidence that exposure to PFAS, especially emerging PFAS alternatives, may impair glucose homeostasis and increase the risk of GDM among women conceiving through ART.
Collapse
Affiliation(s)
- Dandan Mao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Guodong Ding
- Department of Pediatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zixia Wang
- The Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jiuru Zhao
- Shanghai Key Laboratory of Embryo Original Disease, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Hong Li
- Department of Nursing, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoning Lei
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Jiaqi Zheng
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Rong Shi
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Tao Yuan
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Zhiwei Liu
- Department of Neonatology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China.
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
10
|
Niu H, Xu M, Tu P, Xu Y, Li X, Xing M, Chen Z, Wang X, Lou X, Wu L, Sun S. Emerging Contaminants: An Emerging Risk Factor for Diabetes Mellitus. TOXICS 2024; 12:47. [PMID: 38251002 PMCID: PMC10819641 DOI: 10.3390/toxics12010047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/15/2023] [Accepted: 12/17/2023] [Indexed: 01/23/2024]
Abstract
Emerging contaminants have been increasingly recognized as critical determinants in global public health outcomes. However, the intricate relationship between these contaminants and glucose metabolism remains to be fully elucidated. The paucity of comprehensive clinical data, coupled with the need for in-depth mechanistic investigations, underscores the urgency to decipher the precise molecular and cellular pathways through which these contaminants potentially mediate the initiation and progression of diabetes mellitus. A profound understanding of the epidemiological impact of these emerging contaminants, as well as the elucidation of the underlying mechanistic pathways, is indispensable for the formulation of evidence-based policy and preventive interventions. This review systematically aggregates contemporary findings from epidemiological investigations and delves into the mechanistic correlates that tether exposure to emerging contaminants, including endocrine disruptors, perfluorinated compounds, microplastics, and antibiotics, to glycemic dysregulation. A nuanced exploration is undertaken focusing on potential dietary sources and the consequential role of the gut microbiome in their toxic effects. This review endeavors to provide a foundational reference for future investigations into the complex interplay between emerging contaminants and diabetes mellitus.
Collapse
Affiliation(s)
- Huixia Niu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Manjin Xu
- School of Public Health, Xiamen University, Xiang’an South Road, Xiang’an District, Xiamen 361102, China; (M.X.); (Y.X.)
| | - Pengcheng Tu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Yunfeng Xu
- School of Public Health, Xiamen University, Xiang’an South Road, Xiang’an District, Xiamen 361102, China; (M.X.); (Y.X.)
| | - Xueqing Li
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Mingluan Xing
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Zhijian Chen
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Xiaofeng Wang
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Xiaoming Lou
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Lizhi Wu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road, Binjiang District, Hangzhou 310051, China; (H.N.); (P.T.); (X.L.); (M.X.); (Z.C.); (X.W.); (X.L.)
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing 100069, China
| |
Collapse
|
11
|
Wang X, He W, Wu X, Song X, Yang X, Zhang G, Niu P, Chen T. Exposure to volatile organic compounds is a risk factor for diabetes: A cross-sectional study. CHEMOSPHERE 2023; 338:139424. [PMID: 37419158 DOI: 10.1016/j.chemosphere.2023.139424] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/26/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
Currently, more studies showed that environmental chemicals were associated with the development of diabetes. However, the effect of volatile organic compounds (VOCs) on diabetes remained uncertain and needed to be studied. This cross-sectional study examined whether exposure to low levels of VOCs was associated with diabetes, insulin resistance (TyG index) and glucose-related indicators (FPG,HbA1c, insulin) in the general population by using the NHANES dataset (2013-2014 and 2015-2016). We analyzed the association between urinary VOC metabolism (mVOCs) and these indicators in 1409 adults by multiple linear regression models or logistic regression models, further Bayesian kernel machine regression (BKMR) models were performed for mixture exposure analysis. The results showed positive associations between multiple mVOCs and diabetes, TyG index, FPG, HbA1c and insulin, respectively. Among them, HPMMA concentration in urine was significantly positively correlated with diabetes and related indicators (TyG index, FPG and HbA1c), and the concentration of CEMA was significantly positively correlated with insulin. The positive association of mVOCs with diabetes and its related indicators was more significant in the female group and in the 40-59 years group. Thus, our study suggested that exposure to VOCs affected insulin resistance and glucose homeostasis, further affecting diabetes levels, which had important public health implications.
Collapse
Affiliation(s)
- Xueting Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Weifeng He
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Xiaojuan Wu
- Department of Endocrinology, Fu Xing Hospital, Capital Medical University, 100038, Beijing, China
| | - Xin Song
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Xin Yang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Gaoman Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Piye Niu
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China.
| | - Tian Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, 100069, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China.
| |
Collapse
|
12
|
Zhang X, Ren X, Sun W, Griffin N, Wang L, Liu H. PFOA exposure induces aberrant glucose and lipid metabolism in the rat liver through the AMPK/mTOR pathway. Toxicology 2023; 493:153551. [PMID: 37236338 DOI: 10.1016/j.tox.2023.153551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/05/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023]
Abstract
Perfluorooctanoic acid (PFOA) is the most prominent member of a widely utilized family of compounds named Perfluoroalkyl substances (PFASs). Initially produced for use in both industrial and consumer applications, it has since been recognized that PFASs are extremely persistent in the environment where they have been characterized as persistent organic pollutants (POPs). While previous studies have demonstrated that PFOA may induce disorders of lipid and carbohydrate metabolism, the precise mechanisms by which PFOA produces this phenotype and the involvement of downstream AMPK/mTOR pathways remains unclear. In this study, male rats were exposed to 1.25, 5 and 20mg PFOA/kg body weight/day for 28 days by oral gavage. After 28 days, blood was collected and tested for serum biochemical indicators and livers were removed and weighed. To investigate aberrant metabolism in rats exposed to PFOA, livers were analyzed by performing LC-MS/MS untargeted metabolomics, quantitative real-time PCR, western blotting, immunohistochemical staining was also performed on exposed tissues. Our results showed that exposure to PFOA induced liver damage, increased the expression of glucose and lipid related biochemical indexes in liver and serum, and altered the expression levels of AMPK/mTOR pathway related genes and proteins. In summary, this study clarifies the mechanisms responsible for PFOA toxicity in the liver of exposed animals.
Collapse
Affiliation(s)
- Xuemin Zhang
- Department of Biochemistry and Molecular Biology, School of Laboratory Medicine; Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu 233030, PR China; Bengbu Medical College Key Laboratory of Cancer Research and Clinical Laboratory Diagnosis, School of Laboratory Medicine, Bengbu Medical College, Bengbu, 233030, PR China
| | - Xijuan Ren
- School of Public Health, Bengbu Medical College, Bengbu 233030, PR China
| | - Weiqiang Sun
- Department of Biochemistry and Molecular Biology, School of Laboratory Medicine; Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu 233030, PR China; Bengbu Medical College Key Laboratory of Cancer Research and Clinical Laboratory Diagnosis, School of Laboratory Medicine, Bengbu Medical College, Bengbu, 233030, PR China
| | - Nathan Griffin
- Department of Cell and Tissue Biology, University of California, San Francisco, CA, USA
| | - Li Wang
- School of Public Health, Bengbu Medical College, Bengbu 233030, PR China.
| | - Hui Liu
- Department of Biochemistry and Molecular Biology, School of Laboratory Medicine; Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu 233030, PR China; Bengbu Medical College Key Laboratory of Cancer Research and Clinical Laboratory Diagnosis, School of Laboratory Medicine, Bengbu Medical College, Bengbu, 233030, PR China.
| |
Collapse
|
13
|
Yao X, Geng S, Zhu L, Jiang H, Wen J. Environmental pollutants exposure and gestational diabetes mellitus: Evidence from epidemiological and experimental studies. CHEMOSPHERE 2023; 332:138866. [PMID: 37164202 DOI: 10.1016/j.chemosphere.2023.138866] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 04/05/2023] [Accepted: 05/05/2023] [Indexed: 05/12/2023]
Abstract
Except for known sociodemographic factors, long-term exposure to environmental pollutants has been shown to contribute to the development of gestational diabetes mellitus (GDM), but the conclusions remain controversial. To provide a comprehensive overview of the association between environmental pollutants and GDM, we performed a systematic review and meta-analysis. Several electronic databases (PubMed, Embase, Web of Science, Medline and Cochrane) were searched for related epidemiological and experimental studies up to September 2022. For epidemiological studies, a meta-analysis was carried out to appraise the effect of environmental pollutants, including polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), per- and polyfluoroalkyl substances (PFASs), phenols, phthalates (PAEs), polybrominated diphenyl ethers (PBDEs) and parabens exposure on GDM. Moreover, we also summarized possible biological mechanisms linking pollution exposure and GDM based on the included experimental studies. A total of 80 articles were enrolled, including 38 epidemiological studies and 42 experimental studies. Meta-analysis results showed that exposure to PAEs [OR (95%CI) = 1.07 (1.00, 1.14)], PFASs [OR (95%CI) = 1.10 (1.01, 1.19)], as well as PCBs [OR (95%CI) = 1.18 (1.02, 1.36)] and PBDEs [OR (95%CI) = 1.33 (1.17, 1.50)] significantly increased the risk of GDM, but no significant effects were found for phenols, OCPs, and parabens. In addition, experimental studies suggested that the potential biological mechanisms of environmental pollutants contributing to GDM may involve insulin resistance, β-cell dysfunction, neurohormonal dysfunction, inflammation, oxidative stress, epigenetic modification, and alterations in gut microbiome. In conclusion, long-term environmental pollutants exposure may induce the development of GDM, and there may be a synergistic effect between the homologs. However, studies conducted on the direct biological link between environmental pollutants and GDM were few. More prospective studies and high-quality in vivo and in vitro experiments were needed to investigate the specific effects and mechanisms.
Collapse
Affiliation(s)
- Xiaodie Yao
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, 210004, PR China
| | - Shijie Geng
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, 210004, PR China
| | - Lijun Zhu
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, 210004, PR China
| | - Hua Jiang
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, 210004, PR China.
| | - Juan Wen
- Nanjing Maternity and Child Health Care Institute, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu, 210004, PR China.
| |
Collapse
|
14
|
Tian Y, Zhou Q, Zhang L, Li W, Yin S, Li F, Xu C. In utero exposure to per-/polyfluoroalkyl substances (PFASs): Preeclampsia in pregnancy and low birth weight for neonates. CHEMOSPHERE 2023; 313:137490. [PMID: 36513200 DOI: 10.1016/j.chemosphere.2022.137490] [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: 07/14/2022] [Revised: 10/29/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
Per-/polyfluoroalkyl substances (PFASs) have been linked to preeclampsia with inconsistent directions for outcomes. However, information regarding the joint effects of PFASs mixtures on preeclampsia as well as their associations with the low birth weight (LBW) and small for gestational age (SGA) is nascent. The present study included 82 women with preeclampsia and 169 healthy participants from Hangzhou, China. Fifteen PFASs were analyzed in maternal serum before delivery. PFOA and 6:2Cl-PFESA were associated with higher incidence of preeclampsia both linearly and by tertile. Each log-unit increase in serum PFOA (OR:5.29, 95% CI: 1.05, 26.7, p = 0.044) and 6:2 Cl-PFESA (OR:1.02, 95%CI: 1.00, 1.48, p = 0.045) concentrations were associated with increased risks of preeclampsia. These effects were more profound among primiparous women carrying female fetuses. Both PFOA and PFUnDA concentrations were significantly associated with higher odds of early-onset preeclampsia, but the associations tended to be null for late-onset. In addition, each logarithmic increment in PFOA concentrations were significantly associated with a 0.262 and 0.224 mmHg increase in systolic (95% CI: 0.147, 0.377) and diastolic (95% CI: 0.133, 0.314) blood pressures. Using Bayesian kernel machine regressions (BKMR), the overall effects of PFASs mixture concentrations on preeclampsia showed an increasing trend, with PFOA being the largest contributor. With regard to birth weight, the Cox proportional hazards model indicated that significantly higher risks of the LBW were associated with preeclampsia than normal pregnancy (OR: 4.56, 95% CI: 2.44, 6.68, p = 0.000). Increased LBW risks were found for the higher PFOA exposure both linearly and by tertile. Besides, serum PFOA and PFUnDA concentrations were significantly associated with higher odds of SGA development. Nevertheless 4:2 FTS and ADONA were inversely associated with LBW and SGA incidences. Further adverse birth outcomes should be explored to elucidate the health implications of PFASs exposure and preeclampsia development.
Collapse
Affiliation(s)
- Yonghong Tian
- Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, China.
| | - Quan Zhou
- College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
| | - Long Zhang
- Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310000, China.
| | - Weitong Li
- College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
| | - Shanshan Yin
- Interdisciplinary Research Academy (IRA), Zhejiang Shuren University, Hangzhou, 310015, China.
| | - Fang Li
- College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China.
| | - Chenye Xu
- College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China.
| |
Collapse
|
15
|
Wu B, Pan Y, Li Z, Wang J, Ji S, Zhao F, Chang X, Qu Y, Zhu Y, Xie L, Li Y, Zhang Z, Song H, Hu X, Qiu Y, Zheng X, Zhang W, Yang Y, Gu H, Li F, Cai J, Zhu Y, Cao Z, S Ji J, Lv Y, Dai J, Shi X. Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study. ENVIRONMENT INTERNATIONAL 2023; 172:107779. [PMID: 36746113 DOI: 10.1016/j.envint.2023.107779] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/27/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND The associations of legacy per- and polyfluoroalkyl substances (PFAS) with lipid metabolism are controversial, and there is little information about the impact of emerging PFAS (6:2 Cl-PFESA) on lipid metabolism in China. OBJECTIVES We aimed to explore the associations of legacy and emerging PFAS with lipid profiles and dyslipidemia in Chinese adults. METHODS We included 10,855 Chinese participants aged 18 years and above in the China National Human Biomonitoring. The associations of 8 PFAS with 5 lipid profiles and 4 dyslipidemia were investigated using weighted multiple linear regression or weighted logistic regression, and the dose-response associations were investigated using restricted cubic spline model. RESULTS Among the 8 PFAS, the concentration of PFOS was the highest, with a geometric mean of 5.15 ng/mL, followed by PFOA and 6:2 Cl-PFESA, which were 4.26 and 1.63 ng/mL, respectively. Legacy (PFOA, PFOS, PFUnDA) or emerging (6:2 Cl-PFESA) PFAS were associated with lipid profiles (TC, LDL-C, HDL-C, non HDL-C) and dyslipidemia (high LDL-C, high TC, low HDL-C), and their effects on TC were most obvious. TC concentration increased by 0.595 mmol/L in the highest quartile (Q4) of PFOS when compared with the lowest quartile (Q1), (95 % CI:0.396, 0.794). Restricted cubic spline models showed that PFAS are nonlinearly associated with TC, non HDL-C, LDL-C and HDL-C, and that the lipid concentrations tend to be stable when PFOS and PFOA were > 20 ng/mL well as when the 6:2 Cl-PFESA level was > 10 ng/mL. The positive associations between PFAS mixtures and lipid profiles were also significant. CONCLUSIONS Single and mixed exposure to PFAS were positively associated with lipid profiles, and China's unique legacy PFAS substitutes (6:2 Cl-PFESA) contributed less to lipid profiles than legacy PFAS. In the future, cohort studies will be needed to confirm our findings.
Collapse
Affiliation(s)
- Bing Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yitao Pan
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinghua Wang
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaochen Chang
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanduo Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Linna Xie
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zheng Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Haocan Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojian Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yidan Qiu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Institute of Environmental Health, School of Public Health, and Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wenli Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanwei Yang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fangyu Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiayin Dai
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
| |
Collapse
|
16
|
Shi F, Almerick T Boncan D, Wan HT, Chan TF, Zhang EL, Lai KP, Wong CKC. Hepatic metabolism gene expression and gut microbes in offspring, subjected to in-utero PFOS exposure and postnatal diet challenges. CHEMOSPHERE 2022; 308:136196. [PMID: 36041519 DOI: 10.1016/j.chemosphere.2022.136196] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/19/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
We examined the changes in hepatic metabolic gene expression and gut microbiota of offspring exposed to PFOS in-utero. At GD17.5, our data showed that PFOS exposure decreased fetal bodyweights and hepatic metabolic gene expressions but increased relative liver mass and lipid accumulation. At PND21, in-utero high-dose PFOS-exposed offspring exhibited significantly greater bodyweight (catch-up-growth), associated with significant induction of hepatic metabolic gene expression. In addition, 16SrRNA-sequencing of the cecal samples revealed an increase in carbohydrate catabolism but a reduction in microbial polysaccharide synthesis and short-chain fatty acid (SCFA) metabolism. From PND21-80, a postnatal diet-challenge for the offspring was conducted. At PND80 under a normal diet, in-utero high-dose PFOS-exposed offspring maintained the growth "catch-up" effect. In contrast, in a high-fat-diet, the bodyweight of in-utero high-dose PFOS-exposed adult offspring were significantly lesser than the corresponding low-dose and control groups. Even though in the high-fat-diet, the in-utero PFOS-exposed adult offspring showed significant upregulation of hepatic metabolic genes, the lower bodyweight suggests that they had difficulty utilizing high-fat nutrients. Noteworthy, the metagenomic data showed a significant reduction in the biosynthesis of microbial polysaccharides, vitamin B, and SCFAs in the PFOS-exposed adult offspring. Furthermore, the observed effects were significantly reduced in the PFOS-exposed adult offspring with the high-fat diet but supplemented with sucrose. Our study demonstrated that in-utero PFOS exposure caused inefficient fat metabolism and increased the risk of hepatic steatosis in offspring.
Collapse
Affiliation(s)
- Feng Shi
- State Key Laboratory in Environmental and Biological Analysis, Croucher Institute for Environmental Sciences, Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China
| | - Delbert Almerick T Boncan
- School of Life Sciences, State Key Laboratory of Agrobiotechnology, Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hin Ting Wan
- State Key Laboratory in Environmental and Biological Analysis, Croucher Institute for Environmental Sciences, Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China
| | - Ting Fung Chan
- School of Life Sciences, State Key Laboratory of Agrobiotechnology, Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eric L Zhang
- Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China
| | - Keng Po Lai
- Laboratory of Environmental Pollution and Integrative Omics, Guilin Medical University, Guilin, PR China
| | - Chris Kong-Chu Wong
- State Key Laboratory in Environmental and Biological Analysis, Croucher Institute for Environmental Sciences, Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China.
| |
Collapse
|