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Li M, Shi J, Fei X, Chen X, Shen Y, Zhu Q, Zhang Z, Mao Y, Wang D, Yi S, Zhao R, Zhu Y, Du J. Impact of ambient air pollution exposure during preconception and pregnancy on risk of gestational diabetes mellitus: A retrospective cohort study in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2025; 296:118217. [PMID: 40249978 DOI: 10.1016/j.ecoenv.2025.118217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 04/15/2025] [Accepted: 04/16/2025] [Indexed: 04/20/2025]
Abstract
The association between air pollution exposure and gestational diabetes mellitus (GDM) have been studied extensively; however, conclusions regarding the sensitive exposure period and effect of exposure remain inconsistent. We conducted a retrospective cohort study involving 2593 pregnant participants from Kunshan, China. Daily concentrations of particulate matter less than 2.5 μm (PM2.5) and less than 10 μm (PM10), carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) data were collected from the nearest air quality monitoring stations based on each participant's address. Average pollutant concentrations were then calculated for various window periods. The prevalence rate of GDM was 11.7 %. The first trimester was identified as a critical exposure window using distributed lag non-linear models. Quantile-based g-computation analysis revealed that exposure to a mixture of the five pollutants during the first trimester was significantly associated with GDM risk. Specifically, each quartile increase in combined exposure was associated with a 45 % increased risk of GDM (RR=1.45, 95 % CI: 1.24, 1.70), primarily driven by SO2 (31.6 %), PM2.5 (31.6 %), CO (22.0 %), and PM10 (14.8 %). This effect was not observed for exposure to any single pollutant alone. Our study expands the methodology for assessing air pollution exposure and deepens scientific understanding of its impact on pregnancy outcomes.
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Affiliation(s)
- Min Li
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Jiayi Shi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Xiaoping Fei
- Obstetrics Department, The First People's Hospital of Kunshan, Kunshan 215300, China
| | - Xiaohong Chen
- Department of Obstetrics and Gynecology, Maternal and Child Health Hospital of Pudong New Area, Shanghai 201206, China
| | - Yupei Shen
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Qianxi Zhu
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Zhaofeng Zhang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Yanyan Mao
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Difei Wang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Siyu Yi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Rui Zhao
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China; Key Laboratory of Public Health Safety, Ministry of Education, Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Yixiang Zhu
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Jing Du
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China.
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Lee J, Lee NK, Moon JH. Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications. Endocrinol Metab (Seoul) 2025; 40:10-25. [PMID: 39844628 PMCID: PMC11898322 DOI: 10.3803/enm.2024.2264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 12/18/2024] [Accepted: 12/23/2024] [Indexed: 01/24/2025] Open
Abstract
Gestational diabetes mellitus (GDM) affects over 10% of all pregnancies, both in Korea and worldwide. GDM not only increases the risk of adverse pregnancy outcomes such as preeclampsia, preterm birth, macrosomia, neonatal hypoglycemia, and shoulder dystocia, but it also significantly increases the risk of developing postpartum type 2 diabetes mellitus and cardiovascular disease in the mother. Additionally, GDM is linked to a higher risk of childhood obesity and diabetes in offspring, as well as neurodevelopmental disorders, including autistic spectrum disorder. This review offers a comprehensive summary of clinical epidemiological studies concerning maternal and fetal complications and explores mechanistic investigations that reveal the underlying pathophysiology.
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Affiliation(s)
- Jooyeop Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Armed Forces Yangju Hospital, Yangju, Korea
| | - Na Keum Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Joon Ho Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
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Huang Y, Yang X, Wang Y, Nai Y, Ji L, Zhu H, Lai R, Wang QT, Hu H, Wang L. ARID1A recruits GATA2 to regulate the senescence of trophoblast cells under high-glucose condition. Placenta 2024; 158:156-164. [PMID: 39490111 DOI: 10.1016/j.placenta.2024.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 10/02/2024] [Accepted: 10/20/2024] [Indexed: 11/05/2024]
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is a common complication during pregnancy. The hyperglycemic stimulation of gestational diabetes inhibits the invasion of the placental trophoblast cells. Some studies have indicated that the senescence of trophoblast cells weakens their invasive capacity, while the mechanism of trophoblast cells senescence in GDM remain elusive. METHODS We performed western blotting and Immunohistochemical staining to investigate AT-Rich Interaction Domain 1A (ARID1A) expression in GDM placental tissues. 5 mM and 30 mM glucose treated HTR-8/SVneo cells to simulate normal glucose (NG) stress and high glucose (HG) stress. Cell proliferation capacity was investigated by CCK8 assay and cell cycle assay. SA-β-gal was used to detect cellular senescence. Chip-seq characterized the binding site of ARID1A to CDKN1A. In conjunction with bioinformatics analysis, co-immunoprecipitation assays, Chip-qPCR and luciferase reporter assays were performed to prove ARID1A recruits GATA2 to CDKN1A. RESULTS We found that ARID1A has a higher expression levels in GDM placental tissues compared to the control. ARID1A overexpression suppressed cell proliferation, induced cell cycle arrest and promoted cell senescence. Conversely the inhibition of ARID1A significantly rescues HG induced senescence of trophoblast cells. To further characterize the mechanism by which ARID1A regulate the transcription of CDKN1A, co-immunoprecipitation assays, Chip-qPCR and luciferase reporter assay indicate that ARID1A recruits GATA2 to regulate the transcriptional activity of CDKN1A. DISCUSSION Our study uncovers a ARID1A mediated regulatory mechanism in GDM trophoblast cell senescence and suggests that targeting the placental ARID1A might provide new diagnostic and therapeutic strategies for GDM.
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Affiliation(s)
- Yanyi Huang
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Xiting Yang
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Yuexiao Wang
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Yaru Nai
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Lulu Ji
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Hengxuan Zhu
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Rujie Lai
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Qiong Tao Wang
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Hanyang Hu
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China.
| | - Lin Wang
- Department of Histology and Embryology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China.
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Zang X, Zhang D, Wang W, Ding Y, Wang Y, Gu S, Shang Y, Gan J, Jiang L, Meng F, Shi J, Xu Z, Huang S, Li Z, Wu Z, Gu T, Cai G, Hong L. Cross-Species Insights into Trophoblast Invasion During Placentation Governed by Immune-Featured Trophoblast Cells. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2407221. [PMID: 39234818 PMCID: PMC11558115 DOI: 10.1002/advs.202407221] [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: 06/27/2024] [Revised: 08/22/2024] [Indexed: 09/06/2024]
Abstract
Proper development of the placenta, the transient support organ forms after embryo implantation, is essential for a successful pregnancy. However, the regulation of trophoblast invasion, which is most important during placentation, remains largely unknown. Here, rats, mice, and pigs are used as biomedical models, used scRNA-seq to comparatively elucidate the regulatory mechanism of placental trophoblast invasion, and verified it using a human preeclampsia disease model combined with scStereo-seq. A dual-featured type of immune-featured trophoblast (iTrophoblast) is unexpectedly discovered. Interestingly, iTrophoblast only exists in invasive placentas and regulates trophoblast invasion during placentation. In a normally developing placenta, iTrophoblast gradually transforms from an immature state into a functional mature state as it develops. Whereas in the developmentally abnormal preeclamptic placenta, disordered iTrophoblast transformation leads to the accumulation of immature iTrophoblasts, thereby disrupting trophoblast invasion and ultimately leading to the progression of preeclampsia.
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Affiliation(s)
- Xupeng Zang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Dan Zhang
- Reproductive Medicine CenterGuangdong Provincial Key Laboratory of Reproductive MedicineThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhou510080P. R. China
| | - Wenjing Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Yue Ding
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Yongzhong Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Shengchen Gu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Yijun Shang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Jianyu Gan
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Lei Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
| | - Fanming Meng
- Guangdong Key Laboratory of Animal Breeding and NutritionInstitute of Animal ScienceGuangdong Academy of Agricultural SciencesGuangzhou510640P. R. China
| | - Junsong Shi
- Yunfu Subcenter of Guangdong Laboratory for Lingnan Modern AgricultureYunfu527300P. R. China
| | - Zheng Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
- Key Laboratory of South China Modern Biological Seed IndustryMinistry of Agriculture and Rural AffairsGuangzhou510520P. R. China
| | - Sixiu Huang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
- Key Laboratory of South China Modern Biological Seed IndustryMinistry of Agriculture and Rural AffairsGuangzhou510520P. R. China
| | - Zicong Li
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
- Key Laboratory of South China Modern Biological Seed IndustryMinistry of Agriculture and Rural AffairsGuangzhou510520P. R. China
| | - Zhenfang Wu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
- Key Laboratory of South China Modern Biological Seed IndustryMinistry of Agriculture and Rural AffairsGuangzhou510520P. R. China
| | - Ting Gu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
- Key Laboratory of South China Modern Biological Seed IndustryMinistry of Agriculture and Rural AffairsGuangzhou510520P. R. China
| | - Gengyuan Cai
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
- Yunfu Subcenter of Guangdong Laboratory for Lingnan Modern AgricultureYunfu527300P. R. China
- Key Laboratory of South China Modern Biological Seed IndustryMinistry of Agriculture and Rural AffairsGuangzhou510520P. R. China
| | - Linjun Hong
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine IndustryGuangdong Provincial Key Laboratory of Agro‐Animal Genomics and Molecular BreedingCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510642P. R. China
- Key Laboratory of South China Modern Biological Seed IndustryMinistry of Agriculture and Rural AffairsGuangzhou510520P. R. China
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Shu C, Street K, Breton CV, Bastain TM, Wilson ML. A review of single-cell transcriptomics and epigenomics studies in maternal and child health. Epigenomics 2024; 16:775-793. [PMID: 38709139 PMCID: PMC11318716 DOI: 10.1080/17501911.2024.2343276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 04/11/2024] [Indexed: 05/07/2024] Open
Abstract
Single-cell sequencing technologies enhance our understanding of cellular dynamics throughout pregnancy. We outlined the workflow of single-cell sequencing techniques and reviewed single-cell studies in maternal and child health. We conducted a literature review of single cell studies on maternal and child health using PubMed. We summarized the findings from 16 single-cell atlases of the human and mammalian placenta across gestational stages and 31 single-cell studies on maternal exposures and complications including infection, obesity, diet, gestational diabetes, pre-eclampsia, environmental exposure and preterm birth. Single-cell studies provides insights on novel cell types in placenta and cell type-specific marks associated with maternal exposures and complications.
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Affiliation(s)
- Chang Shu
- Center for Genetic Epidemiology, Division of Epidemiology & Genetics, Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Kelly Street
- Division of Biostatistics, Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Carrie V Breton
- Division of Environmental Health, Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Theresa M Bastain
- Division of Environmental Health, Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Melissa L Wilson
- Division of Disease Prevention, Policy, & Global Health, Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles,CA USA
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Chen Y, Lv G, Du X, Yang F, Zhao Z. Fentanyl Promoted the Growth of Placenta Trophoblast Cells through Regulating the METTL14 Mediated CCL5 Levels. Biol Pharm Bull 2023; 46:1797-1804. [PMID: 38044098 DOI: 10.1248/bpb.b23-00531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Gestational diabetes mellitus (GDM) is an important cause of the increase in incidence rate and mortality of pregnant women and perinatal infants. This study aimed to analyze the role of fentanyl, a μ-opioid agonist, in the GDM progression. The high glucose (HG) treatment HTR8/SVneo cells was used as a GDM model in vitro. The cell viability was assessed with cell counting kit-8 assay. The apoptosis rate was analyzed with flow cytometry and the transwell assay was conducted to test the cell migration and invasion. RT-quantitative PCR (qPCR) assay was performed to determine the relative expressions of related genes. The N6-Methyladenosine (m6A) levels were analyzed with MeRIP analysis. The tumor necrosis factor-α (TNF-α), interleukin 1β (IL-1β), and IL-10 levels of the cells were analyzed with commercial kits. The results showed that fentanyl increased the cell viability, migration and invasion, and IL-10 levels, and declined the apoptosis rate, TNF-α and IL-1β levels of the HG stimulated HTR8/SVneo cells. The chemokine ligand 5 (CCL5) was over expressed in GDM tissues and HG stimulated HTR8/SVneo cells, which was depleted after fentanyl treatment. Over expressed CCL5 neutralized the fentanyl roles in the HG stimulated HTR8/SVneo cells. The methyltransferase-like protein 14 (METTL14) levels was decreased in HG stimulated HTR8/SVneo cells, which was up-regulated after fentanyl treatment. Additionally, METTL14 silenced prominently decreased the m6A and mRNA levels, along with the mRNA stability of CCL5. In conclusion, fentanyl promoted the growth and inhibited the apoptosis of the HG stimulated HTR8/SVneo cells through regulating the METTL14 mediated CCL5 levels.
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Affiliation(s)
- Yongyan Chen
- Department of Anesthesiology, Shanxi Provincial Children's Hospital
| | - Gaihua Lv
- Department of Anesthesiology, Shanxi Provincial Children's Hospital
| | - Xiuping Du
- The department of obstetrics, Shanxi Provincial Maternity and Child Health Hospital
| | - Fei Yang
- Department of Anesthesiology, Shanxi Provincial Children's Hospital
| | - Zhiliang Zhao
- The department of obstetrics, Shanxi Provincial Maternity and Child Health Hospital
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