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Sun M, Luo M, Wang T, Wei J, Zhang S, Shu J, Zhong T, Liu Y, Chen Q, Zhu P, Qin J. Effect of the interaction between advanced maternal age and pre-pregnancy BMI on pre-eclampsia and GDM in Central China. BMJ Open Diabetes Res Care 2023; 11:11/2/e003324. [PMID: 37085280 PMCID: PMC10124205 DOI: 10.1136/bmjdrc-2023-003324] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/30/2023] [Indexed: 04/23/2023] Open
Abstract
INTRODUCTION To investigate the independent and combined effects of advanced maternal age and pre-pregnancy body mass index (BMI) on the risk of pre-eclampsia and gestational diabetes mellitus (GDM). RESEARCH DESIGN AND METHODS Logistic regression models were used to estimate the OR and 95% CIs of pre-eclampsia and GDM with advanced maternal age and pre-pregnancy BMI, respectively, and the interaction between advanced maternal age and pre-pregnancy BMI. We also used causal mediation analysis to assess the mediating role of pre-pregnancy BMI on maternal age-pre-eclampsia/GDM associations. RESULTS In this study, 788 cases (2.31%) were diagnosed with pre-eclampsia and 5430 cases (15.92%) were diagnosed with GDM. We found that advanced maternal age was associated with a higher risk for pre-eclampsia and GDM, with adjusted ORs (aORs) of 1.74 (95% CI 1.49-2.05) and 1.76 (95% CI 1.65-1.89) after adjusting for potential confounders, respectively. In addition, maternal pre-pregnancy overweight/obesity was associated with the risk of pre-eclampsia and GDM, with the corresponding aORs of 3.64 (95% CI 3.12-4.24) and 1.71 (95% CI 1.60-1.85), respectively. We also observed the interaction between maternal age and pre-pregnancy BMI for the risk of pre-eclampsia/GDM (all p for interaction <0.001). In the mediating effect analysis, we found that maternal pre-pregnancy BMI mediated the associations between maternal age and the development of pre-eclampsia and GDM. CONCLUSIONS Advanced maternal age and pre-pregnancy BMI were respectively associated with the risk of pre-eclampsia/GDM, and there was an interaction between the two risk factors. In addition, we found that pre-pregnancy BMI served as a mediator of the association between advanced maternal age and the risk of pre-eclampsia/GDM, providing an essential target for the prevention of maternal overweight/obesity.
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Affiliation(s)
- Mengting Sun
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Manjun Luo
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Tingting Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- National Health Committee (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Jianhui Wei
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jing Shu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Taowei Zhong
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yiping Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Qian Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ping Zhu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- National Health Committee (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
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Shen Y, Cao J, Yao L, Li S, Zhao X, Li W, Wei Z, Zhang L, Wang J, Chang Y. Serum estradiol to testosterone ratio as a novel predictor of severe preeclampsia in the first trimester. J Clin Hypertens (Greenwich) 2022; 25:53-60. [PMID: 36478152 PMCID: PMC9832226 DOI: 10.1111/jch.14601] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/03/2022] [Accepted: 10/06/2022] [Indexed: 12/12/2022]
Abstract
Preeclampsia (PE) is the most common medical complication during pregnancy and the second leading cause of maternal death worldwide. However, a better predictive model of PE remains to be explored. A total of 15 severe preeclampsia (sPE) and 75 healthy control patients were included in this study. Patient data was obtained from September 2019 to September 2021. Nuchal translucency (NT) and crown-rump length (CRL) of the fetus were acquired by ultrasound. Maternal blood samples were collected at 11+0 to 13+6 weeks of gestation. Chemiluminescent immunoassays were used to detect serum testosterone (T) and estradiol (E2) levels. Time-resolved fluorescence analysis was used to examine the levels of serum pregnancy-associated plasma protein A (PAPPA) and β-human chorionic gonadotrophin (β-HCG) protein. The sPE group exhibited increased T levels, and decreased E2 levels and E2/T ratios from 11 to 14 weeks of gestation, compared with the control group. E2 and the E2/T ratio showed positive linear correlation with CRL in pregnant women. Body-mass-index (BMI), T, and E2 were determined to be the main factors that affected the occurrence of sPE at the 12-week gestation period time point. The receiver operating characteristic (ROC) curve revealed that the AUC of the E2/T ratio was .717. The imbalanced T and E2 levels in the patients had a specific intrinsic relevance with sPE, which suggests them as novel predictors of the sPE.
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Affiliation(s)
- Yongmei Shen
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Jiasong Cao
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Liying Yao
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Shanshan Li
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Xiaomin Zhao
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Wen Li
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Zhuo Wei
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Lei Zhang
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
| | - Jianxi Wang
- Biological Sample Resource Sharing CenterTianjin First Center HospitalTianjinTianjinChina
| | - Ying Chang
- Tianjin Key Laboratory of Human Development and Reproductive RegulationTianjin Central Hospital of Obstetrics and GynecologyTianjinChina,Institute of Obstetrics and GynecologyAffiliated Maternal Hospital of Nankai UniversityTianjinChina
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Liu H, Pu Y, Ai S, Wang X, He S, Wang K, Dang Y. The Relationship Between Preeclampsia and Arsenic Concentration in the Peripheral Blood. Biol Trace Elem Res 2022; 200:3965-3974. [PMID: 34993909 DOI: 10.1007/s12011-021-02988-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/20/2021] [Indexed: 12/26/2022]
Abstract
Preeclampsia (PE) is a pregnancy-specific disorder, which is one of the leading causes of maternal, fetal, and neonatal death, particularly in developing countries. Arsenic (As), which is commonly found in soil and groundwater, has been associated with various complications of pregnancy, such as spontaneous abortion, hypertension, and stillbirth. Hence, the study was used to explore the relationship between PE and blood concentration of As in this study. Blood concentration of As during pregnancy was measured by inductively coupled plasma mass spectrometry (ICP-MS). The results shown that the mean blood concentration of As was gradually increased from the control group to the severe PE group (P < 0.0001). Elevated blood concentration of As was associated with the prevalence of PE (OR = 12.81, 95% CI: 2.43-67.39 and 27.55, 1.75-433.43 for middle and high vs. low). Furthermore, elevated blood concentration of As was associated with the severity of PE. Additionally, we observed that blood concentration of As was associated with the hypoproteinemia (P = 0.001, rs = 0.37). Blood concentration of As was negatively corelated with the mean corpuscular volume (MCV) (P = 0.040, rs = - 0.23) and positively corelated with the mean corpuscular hemoglobin concentration (MCHC) (P = 0.044, rs = 0.23). Overall, our results indicated that the blood concentration of As can significantly predict the occurrence of PE. Additionally, we provided evidence that blood concentration of As may affect the occurrence of hypoproteinemia. These findings may provide some ideas for the prevention of PE and pregnancy complications.
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Affiliation(s)
- Haixia Liu
- Institute of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, Lanzhou, China
| | - Yudong Pu
- Songshan Lake Central Hospital of Dongguan City, Dongguan, China
| | - Shiwei Ai
- Institute of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, Lanzhou, China
| | - Xiaoxue Wang
- Institute of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, Lanzhou, China
| | - Shuzhen He
- Songshan Lake Central Hospital of Dongguan City, Dongguan, China
| | - Ke Wang
- Institute of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, Lanzhou, China
| | - Yuhui Dang
- Institute of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, Lanzhou, China.
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Wang Y, Wang K, Han T, Zhang P, Chen X, Wu W, Feng Y, Yang H, Li M, Xie B, Guo P, Warren JL, Shi X, Wang S, Zhang Y. Exposure to multiple metals and prevalence for preeclampsia in Taiyuan, China. ENVIRONMENT INTERNATIONAL 2020; 145:106098. [PMID: 32916414 DOI: 10.1016/j.envint.2020.106098] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 08/19/2020] [Accepted: 08/25/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Several studies with small sample size have reported inconsistent associations between single metal and preeclampsia (PE). Very few studies have investigated metal mixtures and PE. METHODS Blood concentrations of chromium (Cr), cadmium, mercury (Hg), arsenic (As), lead (Pb), nickel, cobalt, and antimony were measured using inductively coupled plasma-mass spectrometry among 427 PE women and 427 matched controls from Taiyuan, China. Multivariate logistic regression models, weighted quantile sum (WQS) regression, and principal component analysis were employed to examine exposure to single metals and metal mixtures in relation to PE. RESULTS An increased prevalence of PE was associated with Cr (OR = 1.76, 95% CI: 1.18, 2.62 and 1.90, 1.22, 2.93 for the middle and high vs. low), Hg (OR = 1.60, 95% CI: 1.08, 2.38 for the high vs. low) and As (OR = 1.64, 95% CI: 1.07, 2.52 for the middle vs. low). The WQS index, predominated by Cr, Hg, Pb, and As, was positively associated with PE. A principal component characterized by Cr and As also exhibited excessive association with PE. The highest PE prevalence was found among women who were overweight/obese before pregnancy and had high Cr levels compared to women who had pre-pregnancy normal body mass index (BMI) and low Cr levels. CONCLUSIONS Our study provided evidence that exposure to multiple metals was associated with increased prevalence of PE, and the observed association with multiple metals was dominated by Cr, As. Our study also suggested that pre-pregnancy BMI might modify the association between Cr and PE.
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Affiliation(s)
- Ying Wang
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Keke Wang
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Tianbi Han
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Ping Zhang
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Xi Chen
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weiwei Wu
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Yongliang Feng
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Hailan Yang
- Department of Obstetrics, The First Affiliated Hospital, Shanxi Medical University, Taiyuan, China
| | - Mei Li
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Bingjie Xie
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Pengge Guo
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China
| | - Joshua L Warren
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Xiaoming Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Suping Wang
- Department of Epidemiology, Shanxi Medical University School of Public Health, Taiyuan, China.
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Department of Surgery, Yale School of Medicine, New Haven, CT, USA.
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Rosenfeld CS. The placenta-brain-axis. J Neurosci Res 2020; 99:271-283. [PMID: 32108381 DOI: 10.1002/jnr.24603] [Citation(s) in RCA: 130] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 01/25/2020] [Accepted: 02/12/2020] [Indexed: 12/18/2022]
Abstract
All mammalian species depend on the placenta, a transient organ, for exchange of gases, nutrients, and waste between the mother and conceptus. Besides serving as a conduit for such exchanges, the placenta produces hormones and other factors that influence maternal physiology and fetal development. To meet all of these adaptations, the placenta has evolved to become the most structurally diverse organ within all mammalian taxa. However, commonalities exist as to how placental responses promote survival against in utero threats and can alter the trajectory of fetal development, in particular the brain. Increasing evidence suggests that reactions of the placenta to various in utero stressors may lead to long-standing health outcomes, otherwise considered developmental origin of health and disease effects. Besides transferring nutrients and gases, the placenta produces neurotransmitters, including serotonin, dopamine, norepinephrine/epinephrine, that may circulate and influence brain development. Neurobehavioral disorders, such as autism spectrum disorders, likely trace their origins back to placental disturbances. This intimate relationship between the placenta and brain has led to coinage of the term, the placenta-brain-axis. This axis will be the focus herein, including how conceptus sex might influence it, and technologies employed to parse out the effects of placental-specific transcript expression changes on later neurobehavioral disorders. Ultimately, the placenta might provide a historical record of in utero threats the fetus confronted and a roadmap to understand how placenta responses to such encounters impacts the placental-brain-axis. Improved early diagnostic and preventative approaches may thereby be designed to mitigate such placental disruptions.
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Affiliation(s)
- Cheryl S Rosenfeld
- Biomedical Sciences, University of Missouri, Columbia, MO, USA.,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.,MU Informatics Institute, University of Missouri, Columbia, MO, USA.,Thompson Center for Autism and Neurobehavioral Disorders, University of Missouri, Columbia, MO, USA.,Genetics Area Program, University of Missouri, Columbia, MO, USA
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