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Wesselink AK, Kirwa K, Hystad P, Kaufman JD, Szpiro AA, Willis MD, Savitz DA, Levy JI, Rothman KJ, Mikkelsen EM, Laursen ASD, Hatch EE, Wise LA. Ambient air pollution and rate of spontaneous abortion. ENVIRONMENTAL RESEARCH 2024; 246:118067. [PMID: 38157969 PMCID: PMC10947860 DOI: 10.1016/j.envres.2023.118067] [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: 09/06/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
Spontaneous abortion (SAB), defined as a pregnancy loss before 20 weeks of gestation, affects up to 30% of conceptions, yet few modifiable risk factors have been identified. We estimated the effect of ambient air pollution exposure on SAB incidence in Pregnancy Study Online (PRESTO), a preconception cohort study of North American couples who were trying to conceive. Participants completed questionnaires at baseline, every 8 weeks during preconception follow-up, and in early and late pregnancy. We analyzed data on 4643 United States (U.S.) participants and 851 Canadian participants who enrolled during 2013-2019 and conceived during 12 months of follow-up. We used country-specific national spatiotemporal models to estimate concentrations of particulate matter <2.5 μm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) during the preconception and prenatal periods at each participant's residential address. On follow-up and pregnancy questionnaires, participants reported information on pregnancy status, including SAB incidence and timing. We fit Cox proportional hazards regression models with gestational weeks as the time scale to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of time-varying prenatal concentrations of PM2.5, NO2, and O3 with rate of SAB, adjusting for individual- and neighborhood-level factors. Nineteen percent of pregnancies ended in SAB. Greater PM2.5 concentrations were associated with a higher incidence of SAB in Canada, but not in the U.S. (HRs for a 5 μg/m3 increase = 1.29, 95% CI: 0.99, 1.68 and 0.94, 95% CI: 0.83, 1.08, respectively). NO2 and O3 concentrations were not appreciably associated with SAB incidence. Results did not vary substantially by gestational weeks or season at risk. In summary, we found little evidence for an effect of residential ambient PM2.5, NO2, and O3 concentrations on SAB incidence in the U.S., but a moderate positive association of PM2.5 with SAB incidence in Canada.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, USA.
| | - Kipruto Kirwa
- Department of Environmental Health, Boston University School of Public Health, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, USA
| | - Joel D Kaufman
- Departments of Environmental and Occupational Health Sciences, Epidemiology, and Medicine, University of Washington School of Public Health, USA
| | - Adam A Szpiro
- Department of Biostatistics, University of Washington School of Public Health, USA
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, USA
| | - David A Savitz
- Department of Epidemiology, Brown University School of Public Health, USA
| | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, USA
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, USA
| | - Ellen M Mikkelsen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Denmark
| | - Anne Sofie Dam Laursen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Denmark
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, USA
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Li J, Liu L, Gu J, Cao M, Lei J, Li H, He J, He J. The impact of air pollutants on spontaneous abortion: a case-control study in Tongchuan City. Public Health 2024; 227:267-273. [PMID: 38320452 DOI: 10.1016/j.puhe.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 11/27/2023] [Accepted: 12/04/2023] [Indexed: 02/08/2024]
Abstract
OBJECTIVES Studies related to air pollutants and spontaneous abortion in urban northwestern China are scarce, and the main exposure windows of pollutants acting on pregnant women are unclear. STUDY DESIGN Case-control study. METHODS Data were collected from pregnant women in Tongchuan City from 2018 to 2019. A total of 289 cases of spontaneous abortion and 1156 cases of full-term labor were included and analyzed using a case-control study. Logistic regression models were developed to explore the relationship between air pollutants and spontaneous abortion after Chi square analysis and Air pollutant description. RESULTS O3 (odds ratio [OR] = 1.028) is a risk factor for spontaneous abortion throughout pregnancy. PM2.5 (OR = 1.015), PM10 (OR = 1.010), SO2 (OR = 1.026), and NO2 (OR = 1.028) are risk factors for spontaneous abortion in the 30 days before the last menstrual period. PM2.5 (OR = 1.015), PM10 (OR = 1.013), SO2 (OR = 1.036), and NO2 (OR = 1.033) are risk factors for spontaneous abortion in the 30-60 days before the last menstrual period. PM2.5 (OR = 1.028), PM10 (OR = 1.013), SO2 (OR = 1.035), and NO2 (OR = 1.059) are risk factors for spontaneous abortion in the 60-90 days before the last menstrual period. CONCLUSION Exposure to high levels of air pollutants may be a cause of increased risk of spontaneous abortion, especially in the first trimester of the last menstrual period.
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Affiliation(s)
- J Li
- Medical School of Yan'an University, Shaanxi, China
| | - L Liu
- Medical School of Yan'an University, Shaanxi, China
| | - J Gu
- Medical School of Yan'an University, Shaanxi, China
| | - M Cao
- Medical School of Yan'an University, Shaanxi, China
| | - J Lei
- Yan'an University School Hospital, Shaanxi, China
| | - H Li
- Department of Laboratory, Yan'an University Affiliated Hospital, Shaanxi, China
| | - J He
- College of Mathematics and Computer Science of Yan'an University, Shaanxi, China
| | - J He
- Medical School of Yan'an University, Shaanxi, China.
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He H, Wan N, Li Z, Zhang Z, Gao Z, Liu Q, Ma X, Zhang Y, Li R, Fu X, Qiu W. Short-term effects of exposure to ambient PM 2.5 and its components on hospital admissions for threatened and spontaneous abortions: A multicity case-crossover study in China. CHEMOSPHERE 2024; 350:141057. [PMID: 38158083 DOI: 10.1016/j.chemosphere.2023.141057] [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: 09/18/2023] [Revised: 12/09/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The adverse effects of short-term exposure to PM2.5 and its components on hospital admissions for threatened and spontaneous abortions (TSAB) are still controversial. METHODS Data on daily hospitalizations for TSAB and PM2.5 and its components, including sulfate (SO42-), nitrate (NO3-), ammonium salt (NH4+), organic matter (OM), and black carbon (BC), were collected from January 2015 to December 2021 (total 2,557 days) in five cities in China. Case-crossover analyses were conducted to investigate the short-term associations between PM2.5 and its components and TSAB. Additionally, the modification effects by age (<35 and ≥35 years), season (cold and warm seasons), and the "Three-Year Action Plan to Win the Blue Sky Defense War" (before and after implementation) on the above associations were further conducted. RESULTS For each 10 μg/m3 (1 μg/m3 for BC) increase, the strongest relative risks (95% confidence intervals) of hospitalization for TSAB were 1.011 (1.001-1.021) for PM2.5 in lag02, 1.060 (1.003-1.120) for SO42- in lag02, 1.035 (1.000-1.070) for NO3- in lag02, 1.065 (1.009-1.124) for NH4+ in lag02, 1.047 (1.008-1.088) for OM in lag01 and 1.029 (1.005-1.054) for BC in lag02 (all P <0.05). Furthermore, significant modifying effects of age and the Action Plan were found. The effects of NO3- (lag2), NH4+ (lag2), and BC (lag2) were more pronounced in mothers aged ≥35 years and the effects of PM2.5 (lag4), NO3- (lag4), NH4+ (lag4), OM (lag4), and BC (lag4) was more pronounced in the period before the Action Plan was implemented (all P modification <0.05). CONCLUSION Short-term exposure to ambient PM2.5 and its components (SO42-, NO3-, NH4+, OM, and BC) was related to increased risks of hospitalization for TSAB. The effects were more pronounced in mothers aged ≥35 years and the period before the Action Plan.
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Affiliation(s)
- Heng He
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Na Wan
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Zhenzhen Li
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Zihan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Zesen Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Qingdan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Xiaolei Ma
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Yuqing Zhang
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Rongxiang Li
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Xiuhong Fu
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Weihong Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China.
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Li J, Yang B, Liu L, Gu J, Cao M, Wu L, He J. Relationship between air pollutants and spontaneous abortion in a coal resource valley city: a retrospective cohort study. J Matern Fetal Neonatal Med 2023; 36:2281876. [PMID: 37968927 DOI: 10.1080/14767058.2023.2281876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023]
Abstract
OBJECTIVE Pollutants in the atmosphere have been linked to poor pregnancy outcomes in women. However, such investigations are scarce in metropolitan northern China. The major exposure window of air pollution affecting pregnant women is also unknown. METHODS For the analysis, this retrospective cohort study enrolled 6960 pregnant women recorded at Tongchuan People's Hospital from January 2018 to December 2019. Pollutant concentration values from the nearest monitoring station to the pregnant women were used to estimate exposure doses for each exposure window. Logistic regression models were created to investigate the connection between pollutants and spontaneous abortion while controlling for confounding factors. RESULTS PM2.5 was a risk factor for spontaneous abortion in T3 (30-60 days before the first day of the last menstrual period [LMP]), (OR: 1.305, 95% CI: 1.143-1.490) and T4 (60-90 days before the first day of the LMP),(OR: 1.450, 95% CI: 1.239-1.696) after controlling for covariates. In the same window, PM10 was a risk factor (OR: 1.308, 95% CI: 1.140-1.500), (OR: 1.386, 95% CI: 1.184-1.621). In T2 (30 days before the first day of the LMP), T3, and T4, SO2 was a risk factor for spontaneous abortion (OR: 1.185, 95% CI: 1.025-1.371), (OR: 1.219, 95% CI: 1.071-1.396), (OR: 1.202, 95% CI: 1.040-1.389). In T3 and T4, NO2 was a risk factor (OR: 1.171, 95% CI: 1.019- 1.346), (OR: 1.443, 95% CI: 1.259-1.655). In T1 (from the first day of the LMP to the date of abortion), O3 was found to be a risk factor (OR: 1.366, 95% CI: 1.226-1.521). CONCLUSION Exposure to high levels of air pollutants before and during pregnancy may be a risk factor for spontaneous abortion in pregnant women. This study further illustrates the importance of reducing air pollution emissions.
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Affiliation(s)
- Jimin Li
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Boya Yang
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lang Liu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jiajia Gu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Meiying Cao
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lili Wu
- Medical Records Room of Tongchuan People's Hospital, Tongchuan, Shaanxi, China
| | - Jinwei He
- Medical School of Yan'an University, Yan'an, Shaanxi, China
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Tang EJ, Zhou YM, Yang LL, Wang N, Jiang YX, Xiao H, Hu YG, Li DW, Li N, Huang QS, Du N, Li YF, Ji AL, Zhou LX, Cai TJ. The association between short-term ambient sulfur dioxide exposure and hospitalization costs of ischemic stroke: a hospital-based study in Chongqing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:17459-17471. [PMID: 36194329 DOI: 10.1007/s11356-022-23254-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
Evidence of the short-term effects of ambient sulfur dioxide (SO2) exposure on the economic burden of ischemic stroke is limited. This study aimed to explore the association between short-term ambient SO2 exposure and hospitalization costs for ischemic stroke in Chongqing, the most populous city in China. The hospital-based study included 7271 ischemic stroke inpatients. Multiple linear regression models were used to estimate the association between SO2 concentration and hospitalization costs. Propensity score matching was used to compare the patients' characteristics when exposed to SO2 concentrations above and below 20 μg/m3. It is found that short-term SO2 exposure was positively correlated with the hospitalization costs of ischemic stroke. The association was more evident in males, people younger than 65, and people hospitalized in the cool seasons. Besides, among the components of hospitalization costs, medicine costs were most significantly associated with SO2. More interesting, the lower concentration of SO2, the higher costs associated with 1 μg/m3 SO2 change. Above all, SO2 was positively associated with hospitalization costs of ischemic stroke, even at its low levels. The measures to reduce the level of SO2 can help reduce the burden of ischemic stroke.
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Affiliation(s)
- En-Jie Tang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yu-Meng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Li-Li Yang
- Department of Information, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, China
| | - Nan Wang
- Medical Department, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, China
| | - Yue-Xu Jiang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
- Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang, 550025, China
| | - Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yue-Gu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Da-Wei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Na Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
- Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang, 550025, China
| | - Qing-Song Huang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
- Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang, 550025, China
| | - Ning Du
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ya-Fei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ai-Ling Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, China
| | - Lai-Xin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Tong-Jian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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Outdoor Air Pollution and Pregnancy Loss: a Review of Recent Literature. CURR EPIDEMIOL REP 2022. [DOI: 10.1007/s40471-022-00304-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Abstract
Purpose of Review
This review summarizes recent literature about the impacts of outdoor air pollution on pregnancy loss (spontaneous abortion/miscarriage and stillbirth), identifies challenges and opportunities, and provides recommendations for actions.
Recent Findings
Both short- and long-term exposures to ubiquitous air pollutants, including fine particulate matter < 2.5 and < 10 μm, may increase pregnancy loss risk. Windows of susceptibility include the entire gestational period, especially early pregnancy, and the week before event. Vulnerable subpopulations were not consistently explored, but some evidence suggests that pregnant parents from more disadvantaged populations may be more impacted even at the same exposure level.
Summary
Given environmental conditions conductive to high air pollution exposures become more prevalent as the climate shifts, air pollution’s impacts on pregnancy is expected to become a growing public health concern. While awaiting larger preconception studies to further understand causal impacts, multi-disciplinary efforts to minimize exposures among pregnant women are warranted.
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Zhu W, Gu Y, Li M, Zhang Z, Liu J, Mao Y, Zhu Q, Zhao L, Shen Y, Chen F, Xia L, He L, Du J. Integrated single-cell RNA-seq and DNA methylation reveal the effects of air pollution in patients with recurrent spontaneous abortion. Clin Epigenetics 2022; 14:105. [PMID: 35999615 PMCID: PMC9400245 DOI: 10.1186/s13148-022-01327-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/12/2022] [Indexed: 11/13/2022] Open
Abstract
Background Maternal air pollutants exposure is associated with a number of adverse pregnancy outcomes, including recurrent spontaneous abortion (RSA). However, the underlying mechanisms are still unknown. The present study aimed to understand the mechanism of RSA and its relationship with air pollution exposure. We compared data of decidual tissue from individuals with induced abortions and those with RSA by bulk RNA sequencing (RNA-seq), reduced representation bisulfite sequencing (RRBS), and single-cell RNA sequencing (scRNA-seq). Differentially expressed genes (DEGs) were verified using RT-qPCR and pyrosequencing. A logistic regression model was used to investigate the association between air pollutants exposure and RSA. Results We identified 98 DEGs with aberrant methylation by overlapping the RRBS and RNA-seq data. Nineteen immune cell subsets were identified. Compared with normal controls, NK cells and macrophages accounted for different proportions in the decidua of patients with RSA. We observed that the methylation and expression of IGF2BP1 were different between patients with RSA and controls. Furthermore, we observed significant positive associations between maternal air pollutants exposure during the year prior to pregnancy and in early pregnancy and the risk of RSA. Mediation analyses suggested that 24.5% of the effects of air pollution on the risk of RSA were mediated through IGF2BP1 methylation. Conclusion These findings reveal a comprehensive cellular and molecular mechanism of RSA and suggest that air pollution might cause pregnancy loss by affecting the methylation level of the IGF2BP1 promoter. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-022-01327-2.
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Affiliation(s)
- Weiqiang Zhu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Yan Gu
- Department of Gynecology and Obstetrics Outpatient, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Min Li
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Zhaofeng Zhang
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Junwei Liu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Yanyan Mao
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Qianxi Zhu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Lin Zhao
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China.,Institutes of Biomedical Sciences, The State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200032, China
| | - Yupei Shen
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Fujia Chen
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Lingjin Xia
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China
| | - Lin He
- Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jing Du
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, 2140 Xietu Road, Shanghai, 200032, China.
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