1
|
Tang Z, Wang S, Li X, Hu C, Zhai Q, Wang J, Ye Q, Liu J, Zhang G, Guo Y, Su F, Liu H, Guan L, Jiang C, Chen J, Li M, Ren F, Zhang Y, Huang M, Li L, Zhang H, Hou G, Jin X, Chen F, Zhu H, Li L, Zeng J, Xiao H, Zhou A, Feng L, Gao Y, Liu G. Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus. Cell Rep Med 2024:101660. [PMID: 39059385 DOI: 10.1016/j.xcrm.2024.101660] [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: 07/10/2023] [Revised: 05/13/2024] [Accepted: 07/03/2024] [Indexed: 07/28/2024]
Abstract
Gestational diabetes mellitus (GDM) presents varied manifestations throughout pregnancy and poses a complex clinical challenge. High-depth cell-free DNA (cfDNA) sequencing analysis holds promise in advancing our understanding of GDM pathogenesis and prediction. In 299 women with GDM and 299 matched healthy pregnant women, distinct cfDNA fragment characteristics associated with GDM are identified throughout pregnancy. Integrating cfDNA profiles with lipidomic and single-cell transcriptomic data elucidates functional changes linked to altered lipid metabolism processes in GDM. Transcription start site (TSS) scores in 50 feature genes are used as the cfDNA signature to distinguish GDM cases from controls effectively. Notably, differential coverage of the islet acinar marker gene PRSS1 emerges as a valuable biomarker for GDM. A specialized neural network model is developed, predicting GDM occurrence and validated across two independent cohorts. This research underscores the high-depth cfDNA early prediction and characterization of GDM, offering insights into its molecular underpinnings and potential clinical applications.
Collapse
Affiliation(s)
- Zhuangyuan Tang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Shuo Wang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Xi Li
- BGI Research, Shenzhen 518083, China; BGI Research, Wuhan 430074, China
| | | | | | - Jing Wang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Qingshi Ye
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Jinnan Liu
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | | | - Yuanyuan Guo
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | | | - Huikun Liu
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Lingyao Guan
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Chang Jiang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Jiayu Chen
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Min Li
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Fangyi Ren
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Yu Zhang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Minjuan Huang
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Lingguo Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | | | | | - Xin Jin
- Tianjin Women and Children's Health Center, Tianjin 300070, China; The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | | | | | - Linxuan Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Jingyu Zeng
- BGI Research, Shenzhen 518083, China; College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Aifen Zhou
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lingyan Feng
- Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Ya Gao
- BGI Research, Shenzhen 518083, China; Shenzhen Engineering Laboratory for Birth Defects Screening, Shenzhen, China.
| | - Gongshu Liu
- Tianjin Women and Children's Health Center, Tianjin 300070, China.
| |
Collapse
|
2
|
Huo Y, Wan Y, Huang Q, Wang A, Mahai G, He Z, Xu S, Xia W. Pentachlorophenol exposure in early pregnancy and gestational diabetes mellitus: A nested case-control study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 831:154889. [PMID: 35364152 DOI: 10.1016/j.scitotenv.2022.154889] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 03/12/2022] [Accepted: 03/24/2022] [Indexed: 06/14/2023]
Abstract
Pentachlorophenol (PCP) is an endocrine-disrupting chemical that is ubiquitously found in the environment. Few studies have reported PCP exposure in pregnant women and its association with gestational diabetes mellitus (GDM). This nested case-control study aimed to determine the concentration of urinary PCP in early pregnancy and explore the association between PCP exposure and GDM risk. This study included 293 GDM cases and 586 non-GDM controls matched by fetal sex and maternal age from a birth cohort in Wuhan, China. PCP concentrations in spot urine samples collected between 8 and 16 weeks of gestation were measured by ultra-performance liquid chromatography-tandem mass spectrometry. Conditional logistic regression was used to assess the association between PCP exposure and the odds ratio of GDM. The median concentrations of specific gravity-adjusted PCP in controls and cases were 0.70 and 0.80 ng/mL, respectively, with no significant differences (P > 0.05). The multivariate-adjusted odds ratios (ORs) (95% confidence intervals) for GDM across quartiles of urinary PCP were 1 (reference), 1.63 (1.06-2.50), 1.70 (1.11-2.61), and 1.35 (0.87-2.08), respectively, showing a potential "inverted-U" shaped association. In addition, PCP levels and maternal age or fetal sex had significant interactions with GDM risk (both P for interaction < 0.05). Among older women and those carrying female fetuses, the ORs of GDM risk were higher. This study suggests that pregnant women in central China are widely exposed to PCP, and this is the first time to report that PCP exposure may increase the risk of GDM (with potential effect modifications by maternal age and fetal sex). The association observed is in agreement with PCP's "inverted-U" anti-estrogenic effect in vivo; thus, such an effect in humans at environmentally relevant doses should be studied further.
Collapse
Affiliation(s)
- Yitao Huo
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Yanjian Wan
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430015, PR China.
| | - Qingzhu Huang
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430015, PR China.
| | - Aizhen Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Gaga Mahai
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Zhenyu He
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430015, PR China.
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| |
Collapse
|
3
|
Factors associated with health intentions and behaviour among health checkup participants in Japan. Sci Rep 2021; 11:19761. [PMID: 34611263 PMCID: PMC8492688 DOI: 10.1038/s41598-021-99303-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/15/2021] [Indexed: 11/29/2022] Open
Abstract
Health intentions and behaviours are essential for improving the health of individuals and society. This study used cross-sectional data from 20,155 health checkup participants in the Yamagata study to identify factors associated with health intentions and behaviours. Information regarding the current level of health intentions and behaviours was collected using a baseline survey questionnaire. Participants were categorised into three groups: having no intention (no intention), having intentions to improve but not acting on them (intention), and already active (action). The associations between background factors and the presence/absence of health intentions and behaviours were assessed using logistic regression analysis. Of the participants, 35.4%, 37.7%, and 26.9% belonged to the no intention, intention, and action groups, respectively. Multivariate analysis revealed that the factors associated with health intentions were being young, being female, longer duration of education, higher body mass index and abdominal circumference, diabetes, and dyslipidaemia. The factors associated with health behaviours were being older and male, not consuming alcohol, not smoking, performing daily exercise, and having diabetes. These results indicate that health guidance considering background factors, including age, gender, education, and comorbidities, may be useful for effectively promoting health intentions and health behaviours in the Japanese population.
Collapse
|
4
|
Hu J, Gillies CL, Lin S, Stewart ZA, Melford SE, Abrams KR, Baker PN, Khunti K, Tan BK. Association of maternal lipid profile and gestational diabetes mellitus: A systematic review and meta-analysis of 292 studies and 97,880 women. EClinicalMedicine 2021; 34:100830. [PMID: 33997732 PMCID: PMC8102708 DOI: 10.1016/j.eclinm.2021.100830] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 03/22/2021] [Accepted: 03/23/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Gestational Diabetes Mellitus (GDM) is the most prevalent metabolic disorder during pregnancy, however, the association between dyslipidaemia and GDM remains unclear. METHODS We searched Medline, Scopus, Web of Science, Cochrane, Maternity and Infant Care database (MIDIRS) and ClinicalTrials.gov up to February 2021 for relevant studies which reported on the circulating lipid profile during pregnancy, in women with and without GDM. Publications describing original data with at least one raw lipid [triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), or very low-density lipoprotein cholesterol (VLDL-C)] measurement were retained. Data extraction was performed using a piloted data extraction form. The protocol was registered with PROSPERO (CRD42019139696). FINDINGS A total of 292 studies, comprising of 97,880 pregnant women (28232 GDM and 69,648 controls) were included. Using random-effects meta-analysis models to pool study estimates, women with GDM had significantly higher (by 20%) TG levels, with a pooled weighted mean difference between GDM and non-GDM pregnancies of 0.388 mM (0.336, 0.439, p < 0.001). Further analyses revealed elevated TG levels occur in the first trimester and persist afterwards. Meta-regression analyses showed that differences in TG levels between women with GDM and healthy controls were significantly associated with age, BMI, study continent, OGTT procedure, and GDM diagnosis criteria. INTERPRETATION Elevated lipids, particularly, TG, are associated with GDM.
Collapse
Affiliation(s)
- Jiamiao Hu
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, PR China
- Department of Cardiovascular Sciences and Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, United Kingdom
- Diabetes Research Centre, Leicester General Hospital, Leicester LE5 4PW, United Kingdom
| | - Clare L. Gillies
- Diabetes Research Centre, Leicester General Hospital, Leicester LE5 4PW, United Kingdom
| | - Shaoling Lin
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, PR China
| | - Zoe A. Stewart
- Department of Cardiovascular Sciences and Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Sarah E. Melford
- Department of Cardiovascular Sciences and Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Keith R. Abrams
- Health Sciences, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Philip N. Baker
- Department of Cardiovascular Sciences and Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Kamlesh Khunti
- Diabetes Research Centre, Leicester General Hospital, Leicester LE5 4PW, United Kingdom
| | - Bee K. Tan
- Department of Cardiovascular Sciences and Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, United Kingdom
- Diabetes Research Centre, Leicester General Hospital, Leicester LE5 4PW, United Kingdom
- Corresponding author at: Department of Cardiovascular Sciences and Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, United Kingdom.
| |
Collapse
|
5
|
Chen Y, Li T, Ji H, Wang X, Sun X, Miao M, Wang Y, Wu Q, Liang H, Yuan W. Associations of maternal soy product consumption and urinary isoflavone concentrations with neonatal anthropometry: A prospective cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 274:115752. [PMID: 33190984 DOI: 10.1016/j.envpol.2020.115752] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/10/2020] [Accepted: 09/28/2020] [Indexed: 06/11/2023]
Abstract
Isoflavones (ISOs) are naturally occurring endocrine-disrupting compounds. Few human studies have evaluated the effects of ISO exposure on neonatal anthropometry. This study aimed to examine the associations of maternal soy product consumption and urinary ISO concentrations, including genistein, daidzein, glycitein, and equol, with neonatal anthropometry, based on a Chinese cohort study. In Shanghai-Minhang Birth Cohort Study, pregnant women at 12-16 weeks of gestation were recruited, and they completed a structured questionnaire to assess soy product consumption during pregnancy. They also provided a single spot urine sample for the ISO assay. Neonatal anthropometric indices (birth weight; arm, waist, and head circumference; and triceps, back, and abdominal skinfold thickness) were measured at birth. Multivariable linear regression analysis was performed among the 1188 mother-infant pairs to examine the associations between maternal soy product consumption and neonatal anthropometry. The same statistical model was applied to examine the associations between maternal ISO exposure and neonatal anthropometry among 480 mother-infant pairs. Neonate girls born to mothers who "sometimes" and "frequent" consumed soy products had 169.1 g (95% confidence interval [CI], -68.9-407.1) and 256.5 g (95% CI, 17.1-495.8) higher birth weight, respectively, than those born to mothers who "never" consumed soy products during pregnancy. We observed consistent associations between higher maternal urine ISO concentrations and increased anthropometric indices (birth weight, arm and waist circumference, and triceps and abdominal skinfold thickness) in neonate girls, while no association was observed among boys. The findings suggested that maternal dietary ISO intake during pregnancy is associated with fetal development in a sex-specific pattern. In addition, follow-up studies are required to evaluate whether the observed changes in anthropometric indices at birth are associated with health conditions later in life.
Collapse
Affiliation(s)
- Yao Chen
- NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, China
| | - Tao Li
- Affiliated Hospital of Shanghai Institute of Planned Parenthood Research, China
| | - Honglei Ji
- NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, China
| | - Xin Wang
- Affiliated Hospital of Shanghai Institute of Planned Parenthood Research, China
| | - Xiaowei Sun
- NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, China
| | - Maohua Miao
- NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, China
| | - Yan Wang
- School of Pharmacy, Shanghai Jiaotong University, China
| | - Qian Wu
- Shanghai Center for Bioinformation Technology & Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai Industrial Technology Institute, China
| | - Hong Liang
- NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, China.
| | - Wei Yuan
- NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, China
| |
Collapse
|
6
|
Tian Y, Miao M, Ji H, Zhang X, Chen A, Wang Z, Yuan W, Liang H. Prenatal exposure to perfluoroalkyl substances and cord plasma lipid concentrations. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 268:115426. [PMID: 33152632 DOI: 10.1016/j.envpol.2020.115426] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 07/17/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
The effect of prenatal exposure to perfluoroalkyl substances (PFAS) on lipid concentrations in newborns is unknown. Using data from the Shanghai-Minhang Birth Cohort Study, we prospectively assessed the health effects of prenatal exposure to individual and multiple PFAS on cord lipid concentrations. Maternal plasma samples collected at 12-16 weeks of gestation were analyzed for eleven PFAS, and cord blood samples were analyzed for lipids: total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). We used multiple linear regression models to evaluate the associations of each individual PFAS with each lipid parameter, and used Bayesian Kernel Machine Regression (BKMR) models to assess the overall and single-exposure effects of eight PFAS with the detection rate above 80% on cord lipid concentrations. In multiple linear regression models, for each unit increase in ln-transformed maternal concentrations of perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUdA), and perfluorotridecanoic acid (PFTrDA), ln-transformed TC concentration decreased by 0.15 mg/dL (95% confidence interval (CI): -0.25, -0.05), 0.12 mg/dL (95% CI: -0.19, -0.05), 0.12 mg/dL (95% CI: -0.19, -0.05), and 0.05 mg/dL (95% CI: -0.09, -0.01), respectively, and ln-transformed HDL-C concentration decreased by 0.17 mg/dL (95% CI: -0.29, -0.05), 0.12 mg/dL (95% CI: -0.20, -0.03), 0.12 mg/dL (95% CI: -0.20, -0.03), and 0.06 mg/dL (95% CI: -0.11, -0.00), respectively. Statistically significant inverse associations were also observed between ln-transformed concentrations of PFDA, PFUdA, or PFTrDA and ln-transformed cord concentrations of TG and LDL-C. In BKMR models, the mixture of eight PFAS showed suggestively inverse association with all ln-transformed lipid concentrations, such that ln-transformed TC concentration of exposure to the 75th percentile of the mixture was 0.11 units (95% credible interval, -0.21, -0.01) lower than the 25th percentile exposure. Our findings indicated that prenatal exposure to PFAS may disrupt lipid metabolism in newborns.
Collapse
Affiliation(s)
- Youping Tian
- National Management Office of Neonatal Screening Project for CHD, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China; NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, 779 Old Hu Min Road, Shanghai, 200237, China
| | - Maohua Miao
- NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, 779 Old Hu Min Road, Shanghai, 200237, China
| | - Honglei Ji
- NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, 779 Old Hu Min Road, Shanghai, 200237, China
| | - Xiaotian Zhang
- National Reference Laboratory of Dioxin, Institute of Health Inspection and Detection, Hubei Provincial Academy of Preventive Medicine, Hubei Provincial Center for Disease Control and Prevention, #6 Zhuo Daoquan North Road, Wuhan, 430079, China
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, 19104-6021, USA
| | - Ziliang Wang
- NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, 779 Old Hu Min Road, Shanghai, 200237, China
| | - Wei Yuan
- NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, 779 Old Hu Min Road, Shanghai, 200237, China
| | - Hong Liang
- NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, 779 Old Hu Min Road, Shanghai, 200237, China.
| |
Collapse
|
7
|
Ren Y, Jin L, Yang F, Liang H, Zhang Z, Du J, Song X, Miao M, Yuan W. Concentrations of perfluoroalkyl and polyfluoroalkyl substances and blood glucose in pregnant women. Environ Health 2020; 19:88. [PMID: 32807188 PMCID: PMC7433207 DOI: 10.1186/s12940-020-00640-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 08/06/2020] [Indexed: 05/26/2023]
Abstract
BACKGROUND Evidence on the association between exposure to perfluoroalkyl and polyfluoroalkyl substances (PFASs) and blood glucose concentrations in pregnant women is inconsistent. This study aimed to examine the association between PFAS exposure and the concentrations of fasting plasma glucose (FPG) and one-hour plasma glucose (1 h-PG) after a 50-g oral glucose tolerance test in pregnant women. METHODS The study was based on the Shanghai-Minhang Birth Cohort, in which 1292 pregnant women were recruited. Among them, 981 women provided blood samples (at 12-16 gestational weeks) for PFAS measurement. FPG data collected from 856 women at 12-20 GW and 1 h-PG data collected from 705 women at 20-28 GW were obtained through medical records from the routine prenatal care system. High FPG or 1 h-PG was defined as ≥90th percentile of FPG or 1 h-PG. The analysis of eight PFASs was conducted in this study: perfluorohexane sulfonate (PFHxS), perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUdA), perfluorododecanoic acid (PFDoA), and perfluorotridecanoic acid (PFTrDA). The odds ratios (ORs) and associated 95% confidence intervals (CIs) were estimated to determine the associations of each PFAS compound with high FPG and 1 h-PG from a logistic regression model. RESULTS After adjustment for potential confounders, most PFASs were positively associated with high 1 h-PG concentrations. The OR for high 1 h-PG concentrations was 1.87 (95% CI: 1.15-3.05) with a one log unit increase of PFOS; similar associations were observed for PFNA (OR: 2.15, 95% CI: 1.24-3.74), PFDA (OR: 1.61, 95% CI: 1.10-2.44), PFUdA (OR: 1.71, 95% CI: 1.12-2.62), and PFDoA (OR: 1.34, 95% CI: 1.00-1.81). When the PFAS concentrations were categorized into three groups by tertiles, the highest tertiles of PFOS, PFOA, PFNA, PFDA, PFDoA, and PFTrDA had a statistically significant increase in the risk of high 1 h-PG concentrations compared with the lowest tertiles. No statistically significant association was observed between PFAS exposure and high FPG. CONCLUSION PFAS exposure was associated with an increased risk of high 1 h-PG among pregnant women, but no such association was observed for FPG.
Collapse
Affiliation(s)
- Yanfeng Ren
- Department of Health Statistics, School of Public Health, Weifang Medical University, Weifang, Shandong China
| | - Longmei Jin
- Minhang District Maternal and Child Health Hospital, Shanghai, China
| | - Fen Yang
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Hong Liang
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| | - Zhaofeng Zhang
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| | - Jing Du
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| | - Xiuxia Song
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| | - Maohua Miao
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| | - Wei Yuan
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| |
Collapse
|