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Song YP, Lv JW, Zhang ZC, Qian QH, Fan YJ, Chen DZ, Zhang H, Xu FX, Zhang C, Huang Y, Wang H, Wei W, Xu DX. Effects of Gestational Arsenic Exposures on Placental and Fetal Development in Mice: The Role of Cyr61 m6A. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:97004. [PMID: 37682722 PMCID: PMC10489955 DOI: 10.1289/ehp12207] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 06/13/2023] [Accepted: 08/08/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Several epidemiological investigations demonstrated that maternal arsenic (As) exposure elevated risk of fetal growth restriction (FGR), but the mechanism remains unclear. OBJECTIVES This study aimed to investigate the effects of gestational As exposure on placental and fetal development and its underlying mechanism. METHODS Dams were exposed to 0.15, 1.5, and 15 mg / L NaAsO 2 throughout pregnancy via drinking water. Sizes of fetuses and placentas, placental histopathology, and glycogen content were measured. Placental RNA sequencing was conducted. Human trophoblasts were exposed to NaAsO 2 (2 μ M ) to establish an in vitro model of As exposure. The mRNA stability and protein level of genes identified through RNA sequencing were measured. N 6 -Methyladenosine (m 6 A ) modification was detected by methylated RNA immunoprecipitation-quantitative real-time polymerase chain reason (qPCR). The binding ability of insulin-like growth factor 2 binding protein 2 to the gene of interest was detected by RNA-binding protein immunoprecipitation-qPCR. Intracellular S-adenosylmethionine (SAM) and methyltransferase activity were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and colorimetry, respectively. In vitro As + 3 methyltransferase (As3MT) knockdown or SAM supplementation and in vivo folic acid (FA) supplementation were used to evaluate the protective effect. A case-control study verified the findings. RESULTS Sizes of fetuses (exposed to 1.5 and 15 mg / L NaAsO 2 ) and placentas (exposed to 15 mg / L NaAsO 2 ) were lower in As-exposed mice. More glycogen + trophoblasts accumulated and the expression of markers of interstitial invasion was lower in the 15 mg / L NaAsO 2 -exposed mouse group in comparison with control. Placental RNA sequencing identified cysteine-rich angiogenic inducer 61 (Cyr61) as a candidate gene of interest. Mechanistically, mice and cells exposed to As had lower protein expression of CYR61, and this was attributed to a lower incidence of Cyr61 m 6 A . Furthermore, cells exposed to As had lower methyltransferase activity, suggesting that this could be the mechanism by which Cyr61 m 6 A was affected. Depletion of intracellular SAM, a cofactor for m 6 A methyltransferase catalytic domain, partially contributed to As-induced methyltransferase activity reduction. Either As3MT knockdown or SAM supplementation attenuated As-induced Cyr61 m 6 A down-regulation. In mice, FA supplementation rescued As-induced defective trophoblastic invasion and FGR. In humans, a negative correlation between maternal urinary As and plasma CYR61 was observed in infants who were small for gestational age. DISCUSSION Using in vitro and in vivo models, we found that intracellular SAM depletion-mediated Cyr61 m 6 A down-regulation partially contributed to As-induced defective trophoblastic invasion and FGR. https://doi.org/10.1289/EHP12207.
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Affiliation(s)
- Ya-Ping Song
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Jin-Wei Lv
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Zhi-Cheng Zhang
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Qing-Hua Qian
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Yi-Jun Fan
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
- Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Dao-Zhen Chen
- Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China
| | - Heng Zhang
- Wuxi Maternity and Child Health Care Hospital, Wuxi, Jiangsu, China
| | - Fei-Xiang Xu
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Cheng Zhang
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Yichao Huang
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Hua Wang
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
| | - Wei Wei
- Key Laboratory of Anti-Inflammatory and Immune Medicine, Education Ministry of China, Anhui Medical University, Hefei, Anhui, China
| | - De-Xiang Xu
- Department of Toxicology, Anhui Medical University, Hefei, Anhui, China
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Sundrani D, Karkhanis A, Randhir K, Panchanadikar T, Joshi S. MicroRNAs targeting peroxisome proliferator-activated receptor (PPAR) gene are differentially expressed in low birth weight placentae. Placenta 2023; 139:51-60. [PMID: 37311266 DOI: 10.1016/j.placenta.2023.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 05/23/2023] [Accepted: 06/07/2023] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Peroxisome proliferator-activated receptors (PPARs) are activated by natural ligands like fatty acids and influence placental angiogenesis and pregnancy outcome. However, the underlying molecular mechanisms are not clear. This study aims to investigate the association of maternal and placental fatty acid levels with DNA methylation and microRNA regulation of PPARs in the placentae of women delivering low birth weight (LBW) babies. METHODS This study includes 100 women delivering normal birth weight (NBW) baby and 70 women delivering LBW baby. Maternal and placental fatty acids levels were estimated by gas chromatograph. Gene promoter methylation and mRNA expression of PPARs was analyzed using Epitect Methyl-II PCR assay kit and RT-PCR respectively. Expression of miRNAs targeting PPAR mRNA were analyzed using a Qiagen miRCURY LNA PCR Array on RT-PCR. RESULTS Placental docosahexaenoic acid (DHA) levels and placental mRNA expression of PPARα and PPARγ were lower (p < 0.05 for all) in the LBW group. Differential expression of miRNAs (upregulated miR-33a-5p and miR-22-5p; downregulated miR-301a-5p, miR-518d-5p, miR-27b-5p, miR-106a-5p, miR-21-5p, miR-548d-5p, miR-17-5p and miR-20a-5p) (p < 0.05 for all) was observed in the LBW group. Maternal and placental polyunsaturated fatty acids and total omega-3 fatty acids were positively associated while saturated fatty acids were negatively associated with expression of miRNAs (p < 0.05 for all). Placental expression of miRNAs were positively associated with birth weight (p < 0.05 for all). DISCUSSION Our data suggests that maternal fatty acid status is associated with changes in the placental expression of miRNAs targeting PPAR gene in women delivering LBW babies.
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Affiliation(s)
- Deepali Sundrani
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, 411043, India.
| | - Aishwarya Karkhanis
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, 411043, India
| | - Karuna Randhir
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, 411043, India
| | - Tushar Panchanadikar
- Department of Obstetrics and Gynecology, Bharati Medical College and Hospital, Bharati Vidyapeeth (Deemed to be University), Pune, 411043, India
| | - Sadhana Joshi
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, 411043, India
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Lapehn S, Paquette AG. The Placental Epigenome as a Molecular Link Between Prenatal Exposures and Fetal Health Outcomes Through the DOHaD Hypothesis. Curr Environ Health Rep 2022; 9:490-501. [PMID: 35488174 PMCID: PMC9363315 DOI: 10.1007/s40572-022-00354-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2022] [Indexed: 12/31/2022]
Abstract
PURPOSE OF REVIEW The developmental origins of health and disease (DOHaD) hypothesis posits that the perinatal environment can impact fetal and later life health. The placenta is uniquely situated to assess prenatal exposures in the context of DOHaD because it is an essential ephemeral fetal organ that manages the transport of oxygen, nutrients, waste, and endocrine signals between the mother and fetus. The purpose of this review is to summarize recent studies that evaluated the DOHaD hypothesis in human placentas using epigenomics, including DNA methylation and transcriptomic studies of mRNA, lncRNA, and microRNAs. RECENT FINDINGS Between 2016 and 2021, 28 articles evaluated associations between prenatal exposures and placental epigenomics across broad exposure categories including maternal smoking, psychosocial stressors, chemicals, air pollution, and metals. Sixteen of these studies connected exposures to health outcome such as birth weight, fetal growth, or infant neurobehavior through mediation analysis, identification of shared associations between exposure and outcome, or network analysis. These aspects of infant and childhood health serve as a foundation for future studies that aim to use placental epigenetics to understand relationships between the prenatal environment and perinatal complications (such as preterm birth or fetal growth restriction) or later life childhood health. Placental DNA methylation and RNA expression have been linked to numerous prenatal exposures, such as PM2.5 air pollution, metals, and maternal smoking, as well as infant and childhood health outcomes, including fetal growth and birth weight. Placental epigenomics provides a unique opportunity to expand the DOHaD premise, particularly if research applies novel methodologies such as multi-omics analysis, sequencing of non-coding RNAs, mixtures analysis, and assessment of health outcomes beyond early childhood.
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Affiliation(s)
- Samantha Lapehn
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, 1900 9th Avenue, Seattle, WA, 98101, USA
| | - Alison G Paquette
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, 1900 9th Avenue, Seattle, WA, 98101, USA.
- Department of Pediatrics, University of Washington, Seattle, WA, USA.
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Li F, Yang M, Li Y, Zhang M, Wang W, Yuan D, Tang D. An improved clear cell renal cell carcinoma stage prediction model based on gene sets. BMC Bioinformatics 2020; 21:232. [PMID: 32513106 PMCID: PMC7278205 DOI: 10.1186/s12859-020-03543-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 05/11/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma and accounts for cancer-related deaths. Survival rates are very low when the tumor is discovered in the late-stage. Thus, developing an efficient strategy to stratify patients by the stage of the cancer and inner mechanisms that drive the development and progression of cancers is critical in early prevention and treatment. RESULTS In this study, we developed new strategies to extract important gene features and trained machine learning-based classifiers to predict stages of ccRCC samples. The novelty of our approach is that (i) We improved the feature preprocessing procedure by binning and coding, and increased the stability of data and robustness of the classification model. (ii) We proposed a joint gene selection algorithm by combining the Fast-Correlation-Based Filter (FCBF) search with the information value, the linear correlation coefficient, and variance inflation factor, and removed irrelevant/redundant features. Then the logistic regression-based feature selection method was used to determine influencing factors. (iii) Classification models were developed using machine learning algorithms. This method is evaluated on RNA expression value of clear cell renal cell carcinoma derived from The Cancer Genome Atlas (TCGA). The results showed that the result on the testing set (accuracy of 81.15% and AUC 0.86) outperformed state-of-the-art models (accuracy of 72.64% and AUC 0.81) and a gene set FJL-set was developed, which contained 23 genes, far less than 64. Furthermore, a gene function analysis was used to explore molecular mechanisms that might affect cancer development. CONCLUSIONS The results suggested that our model can extract more prognostic information, and is worthy of further investigation and validation in order to understand the progression mechanism.
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Affiliation(s)
- Fangjun Li
- School of Information Science and Engineering, Shandong University, supported by Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, 250100, China
| | - Mu Yang
- Center for Gene and Immunothererapy, The Second Hospital of Shandong University, Jinan, 250033, China
| | - Yunhe Li
- School of Information Science and Engineering, Shandong University, supported by Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, 250100, China
| | - Mingqiang Zhang
- School of Information Science and Engineering, Shandong University, supported by Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, 250100, China
| | - Wenjuan Wang
- Center for Gene and Immunothererapy, The Second Hospital of Shandong University, Jinan, 250033, China
| | - Dongfeng Yuan
- School of Information Science and Engineering, Shandong University, supported by Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, 250100, China.
| | - Dongqi Tang
- Center for Gene and Immunothererapy, The Second Hospital of Shandong University, Jinan, 250033, China.
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Scarpato R, Testi S, Colosimo V, Garcia Crespo C, Micheli C, Azzarà A, Tozzi MG, Ghirri P. Role of oxidative stress, genome damage and DNA methylation as determinants of pathological conditions in the newborn: an overview from conception to early neonatal stage. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2020; 783:108295. [DOI: 10.1016/j.mrrev.2019.108295] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 11/25/2019] [Accepted: 12/24/2019] [Indexed: 12/15/2022]
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Li S, Chen M, Li Y, Tollefsbol TO. Prenatal epigenetics diets play protective roles against environmental pollution. Clin Epigenetics 2019; 11:82. [PMID: 31097039 PMCID: PMC6524340 DOI: 10.1186/s13148-019-0659-4] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 03/27/2019] [Indexed: 12/12/2022] Open
Abstract
It is thought that germ cells and preimplantation embryos during development are most susceptible to endogenous and exogenous environmental factors because the epigenome in those cells is undergoing dramatic elimination and reconstruction. Exposure to environmental factors such as nutrition, climate, stress, pathogens, toxins, and even social behavior during gametogenesis and early embryogenesis has been shown to influence disease susceptibility in the offspring. Early-life epigenetic modifications, which determine the expression of genetic information stored in the genome, are viewed as one of the general mechanisms linking prenatal exposure and phenotypic changes later in life. From atmospheric pollution, endocrine-disrupting chemicals to heavy metals, research increasingly suggests that environmental pollutions have already produced significant consequences on human health. Moreover, mounting evidence now links such pollution to relevant modification in the epigenome. The epigenetics diet, referring to a class of bioactive dietary compounds such as isothiocyanates in broccoli, genistein in soybean, resveratrol in grape, epigallocatechin-3-gallate in green tea, and ascorbic acid in fruits, has been shown to modify the epigenome leading to beneficial health outcomes. This review will primarily focus on the causes and consequences of prenatal environment pollution exposure on the epigenome, and the potential protective role of the epigenetics diet, which could play a central role in neutralizing epigenomic aberrations against environmental pollutions.
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Affiliation(s)
- Shizhao Li
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Min Chen
- Department of Pharmacology and Toxicology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yuanyuan Li
- Department of Pharmacology and Toxicology, University of Alabama at Birmingham, Birmingham, AL, USA.
- Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
- Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Trygve O Tollefsbol
- Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
- Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
- Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA.
- Comprehensive Center for Healthy Aging, University of Alabama at Birmingham, Birmingham, AL, USA.
- Comprehensive Diabetes Center, University of Alabama at Birmingham, Birmingham, AL, USA.
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Luyten LJ, Saenen ND, Janssen BG, Vrijens K, Plusquin M, Roels HA, Debacq-Chainiaux F, Nawrot TS. Air pollution and the fetal origin of disease: A systematic review of the molecular signatures of air pollution exposure in human placenta. ENVIRONMENTAL RESEARCH 2018; 166:310-323. [PMID: 29908461 DOI: 10.1016/j.envres.2018.03.025] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 03/13/2018] [Accepted: 03/14/2018] [Indexed: 05/24/2023]
Abstract
BACKGROUND Fetal development is a crucial window of susceptibility in which exposure-related alterations can be induced on the molecular level, leading to potential changes in metabolism and development. The placenta serves as a gatekeeper between mother and fetus, and is in contact with environmental stressors throughout pregnancy. This makes the placenta as a temporary organ an informative non-invasive matrix suitable to investigate omics-related aberrations in association with in utero exposures such as ambient air pollution. OBJECTIVES To summarize and discuss the current evidence and define the gaps of knowledge concerning human placental -omics markers in association with prenatal exposure to ambient air pollution. METHODS Two investigators independently searched the PubMed, ScienceDirect, and Scopus databases to identify all studies published until January 2017 with an emphasis on epidemiological research on prenatal exposure to ambient air pollution and the effect on placental -omics signatures. RESULTS From the initial 386 articles, 25 were retained following an a priori set inclusion and exclusion criteria. We identified eleven studies on the genome, two on the transcriptome, five on the epigenome, five on the proteome category, one study with both genomic and proteomic topics, and one study with both genomic and transcriptomic topics. Six studies discussed the triple relationship between exposure to air pollution during pregnancy, the associated placental -omics marker(s), and the potential effect on disease development later in life. So far, no metabolomic or exposomic data discussing associations between the placenta and prenatal exposure to air pollution have been published. CONCLUSIONS Integration of placental biomarkers in an environmental epidemiological context enables researchers to address fundamental questions essential in unraveling the fetal origin of disease and helps to better define the pregnancy exposome of air pollution.
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Affiliation(s)
- Leen J Luyten
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Unité de Recherche en Biologie Cellulaire (URBC) - Namur Research Institute for Life Sciences (Narilis), University of Namur, Belgium
| | - Nelly D Saenen
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Bram G Janssen
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Karen Vrijens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Harry A Roels
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Louvain Centre for Toxicology and Applied Pharmacology, Université catholique de Louvain, Brussels, Belgium
| | - Florence Debacq-Chainiaux
- Unité de Recherche en Biologie Cellulaire (URBC) - Namur Research Institute for Life Sciences (Narilis), University of Namur, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department of Public Health & Primary Care, Occupational and Environmental Medicine, Leuven University (KULeuven), Leuven, Belgium.
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Tian FY, Wang XM, Xie C, Zhao B, Niu Z, Fan L, Hivert MF, Chen WQ. Placental surface area mediates the association between FGFR2 methylation in placenta and full-term low birth weight in girls. Clin Epigenetics 2018; 10:39. [PMID: 29588807 PMCID: PMC5863829 DOI: 10.1186/s13148-018-0472-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 03/14/2018] [Indexed: 12/14/2022] Open
Abstract
Background Fibroblast growth factor receptor 2 (FGFR2) gene encodes a protein of the fibroblast growth factor receptor family. FGFR2 gene expression is associated with the regulation of implantation process of placenta which plays a vital role in fetal growth. DNA methylation is widely known as a mechanism of fetal growth. However, it is unclear whether and how DNA methylation of FGFR2 gene in the placenta is associated with full-term low birth weight. This case-control study aims to explore the links between FGFR2 methylation in placenta and full-term low birth weight and to further examine the mediation effect of placental surface area on this association. Results We conducted analyses for each of the five valid CpG sites at FGFR2 in 165 mother-baby pairs (86 FT-LBW vs. 79 FT-NBW) and found that per one standard deviation increase in the DNA methylation of CpG 11 at FGFR2 was associated with 1.64-fold higher risk of full-term low birth weight (OR = 1.64, 95% CI = [1.07, 2.52]) and 0.18 standard deviation decrease in placental surface area (β = - 0.18; standard error = 0.08, p = 0.02). The mediation effect of placental surface area on the association between DNA methylation and full-term low birth weight was significant in girls (OR = 1.38, 95% CI = [1.05, 1.80]) but not in boys. The estimated mediation proportion was 48.38%. Conclusion Our findings suggested that placental surface area mediated the association between DNA methylation of FGFR2 in placenta and full-term low birth weight in a sex-specific manner. Our study supported the importance of placental epigenetic changes in placental development and fetal growth.
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Affiliation(s)
- Fu-Ying Tian
- 1Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Room 715, 74 Zhongshan Road 2, Guangzhou, 510080 Guangdong China
| | - Xi-Meng Wang
- 1Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Room 715, 74 Zhongshan Road 2, Guangzhou, 510080 Guangdong China
| | - Chuanbo Xie
- Department of Cancer Prevention Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bo Zhao
- 3Children's Hospital Boston and Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA
| | - Zhongzheng Niu
- 4Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, 265 Farber Hall, Buffalo, NY 14214 USA
| | - Lijun Fan
- 1Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Room 715, 74 Zhongshan Road 2, Guangzhou, 510080 Guangdong China
| | - Marie-France Hivert
- 5Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA USA.,6Diabetes Center, Massachusetts General Hospital, 50 Staniford Street, Boston, MA USA.,7Department of Medicine, Université de Sherbrooke, 3001 12th Avenue North, Sherbrooke, Québec Canada.,8Centre de recherche du Centre Hospitalier Universitaire de Sherbrooke, 3001 12th Avenue North, wing 9, door 6, Sherbrooke, Québec Canada
| | - Wei-Qing Chen
- 1Department of Medical Statistics and Epidemiology, Guangzhou Key Laboratory of Environmental Pollution and Health Assessment, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Room 715, 74 Zhongshan Road 2, Guangzhou, 510080 Guangdong China.,9Department of Information Management, Xinhua College, Sun Yat-sen University, Guangzhou, Guangdong China
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