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Tang Z, Wang S, Li X, Hu C, Zhai Q, Wang J, Ye Q, Liu J, Zhang G, Guo Y, Su F, Liu H, Guan L, Jiang C, Chen J, Li M, Ren F, Zhang Y, Huang M, Li L, Zhang H, Hou G, Jin X, Chen F, Zhu H, Li L, Zeng J, Xiao H, Zhou A, Feng L, Gao Y, Liu G. Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus. Cell Rep Med 2024; 5:101660. [PMID: 39059385 PMCID: PMC11384941 DOI: 10.1016/j.xcrm.2024.101660] [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: 07/10/2023] [Revised: 05/13/2024] [Accepted: 07/03/2024] [Indexed: 07/28/2024]
Abstract
Gestational diabetes mellitus (GDM) presents varied manifestations throughout pregnancy and poses a complex clinical challenge. High-depth cell-free DNA (cfDNA) sequencing analysis holds promise in advancing our understanding of GDM pathogenesis and prediction. In 299 women with GDM and 299 matched healthy pregnant women, distinct cfDNA fragment characteristics associated with GDM are identified throughout pregnancy. Integrating cfDNA profiles with lipidomic and single-cell transcriptomic data elucidates functional changes linked to altered lipid metabolism processes in GDM. Transcription start site (TSS) scores in 50 feature genes are used as the cfDNA signature to distinguish GDM cases from controls effectively. Notably, differential coverage of the islet acinar marker gene PRSS1 emerges as a valuable biomarker for GDM. A specialized neural network model is developed, predicting GDM occurrence and validated across two independent cohorts. This research underscores the high-depth cfDNA early prediction and characterization of GDM, offering insights into its molecular underpinnings and potential clinical applications.
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Affiliation(s)
- Zhuangyuan Tang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Shuo Wang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Xi Li
- BGI Research, Shenzhen 518083, China; BGI Research, Wuhan 430074, China
| | | | | | - Jing Wang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Qingshi Ye
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Jinnan Liu
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | | | - Yuanyuan Guo
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | | | - Huikun Liu
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Lingyao Guan
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Chang Jiang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Jiayu Chen
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Min Li
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Fangyi Ren
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Yu Zhang
- Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Minjuan Huang
- China National GeneBank, BGI, Shenzhen 518083, China
| | - Lingguo Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | | | | | - Xin Jin
- Tianjin Women and Children's Health Center, Tianjin 300070, China; The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | | | | | - Linxuan Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Jingyu Zeng
- BGI Research, Shenzhen 518083, China; College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Aifen Zhou
- Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lingyan Feng
- Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Ya Gao
- BGI Research, Shenzhen 518083, China; Shenzhen Engineering Laboratory for Birth Defects Screening, Shenzhen, China.
| | - Gongshu Liu
- Tianjin Women and Children's Health Center, Tianjin 300070, China.
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Zhang B, Han X, Long W, Xi S, Yu B, Yuan X. Association Between Red Blood Cell Distribution Width in Late Pregnancy and the Incidence of Adverse Perinatal Outcomes: A Retrospective Cohort Study. Arch Med Res 2024; 55:103057. [PMID: 39067407 DOI: 10.1016/j.arcmed.2024.103057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 06/06/2024] [Accepted: 07/17/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND AND AIMS This study aimed to quantify adverse perinatal outcomes (APO), including small/large for gestational age (SGA/LGA) and preterm birth (PTB), in pregnant women with abnormal red cell distribution width (RDW) and explore the related mechanisms. METHODS This study included 11,659 pregnant women who delivered in a specialized hospital. At the time of admission, the lipid profiles and whole blood cell counts were assessed, and APO was analyzed. RESULTS Women with high RDW (>18.5% [the 97.5th percentile]) in late pregnancy had a higher risk of LGA compared with those with low RDW (<12.3% [the 2.5th percentile]), whereas women with low RDW had a higher risk of SGA and PTB, compared with those with high RDW. A 1% increase in RDW was associated with an increased risk of LGA and a decreased risk of SGA and PTB. Consistent associations were observed in sensitivity analysis among pregnant women of non-advanced age, non-obesity, non-pregnancy complications, and non-PTB (for SGA/LGA only). Increased RDW was significantly associated with increased triglycerides and decreased high-density lipoprotein cholesterol (HDL-C). Triglycerides and HDL-C significantly mediated 10.63 and 15.8% of RDW-associated LGA, 9.51% and 9.40 of RDW-associated SGA, and 8.44 and -8.25% of RDW-associated PTB, respectively. CONCLUSION Abnormal RDW was associated with an increased risk of APO, and the RDW-associated APO risk could be partially mediated by triglycerides and HDL-C, suggesting that RDW may be a promising APO predictor.
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Affiliation(s)
- Bin Zhang
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Xiaoya Han
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Wei Long
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Sijie Xi
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Bin Yu
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Xiaosong Yuan
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
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Yu Y, Xu W, Zhang S, Feng S, Feng F, Dai J, Zhang X, Tian P, Wang S, Zhao Z, Zhao W, Guan L, Qiu Z, Zhang J, Peng H, Lin J, Zhang Q, Chen W, Li H, Zhao Q, Xiao G, Li Z, Zhou S, Peng C, Xu Z, Zhang J, Zhang R, He X, Li H, Li J, Ruan X, Zhao L, He J. Non-invasive prediction of preeclampsia using the maternal plasma cell-free DNA profile and clinical risk factors. Front Med (Lausanne) 2024; 11:1254467. [PMID: 38695016 PMCID: PMC11061442 DOI: 10.3389/fmed.2024.1254467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 03/26/2024] [Indexed: 05/04/2024] Open
Abstract
Background Preeclampsia (PE) is a pregnancy complication defined by new onset hypertension and proteinuria or other maternal organ damage after 20 weeks of gestation. Although non-invasive prenatal testing (NIPT) has been widely used to detect fetal chromosomal abnormalities during pregnancy, its performance in combination with maternal risk factors to screen for PE has not been extensively validated. Our aim was to develop and validate classifiers that predict early- or late-onset PE using the maternal plasma cell-free DNA (cfDNA) profile and clinical risk factors. Methods We retrospectively collected and analyzed NIPT data of 2,727 pregnant women aged 24-45 years from four hospitals in China, which had previously been used to screen for fetal aneuploidy at 12 + 0 ~ 22 + 6 weeks of gestation. According to the diagnostic criteria for PE and the time of diagnosis (34 weeks of gestation), a total of 143 early-, 580 late-onset PE samples and 2,004 healthy controls were included. The wilcoxon rank sum test was used to identify the cfDNA profile for PE prediction. The Fisher's exact test and Mann-Whitney U-test were used to compare categorical and continuous variables of clinical risk factors between PE samples and healthy controls, respectively. Machine learning methods were performed to develop and validate PE classifiers based on the cfDNA profile and clinical risk factors. Results By using NIPT data to analyze cfDNA coverages in promoter regions, we found the cfDNA profile, which was differential cfDNA coverages in gene promoter regions between PE and healthy controls, could be used to predict early- and late-onset PE. Maternal age, body mass index, parity, past medical histories and method of conception were significantly differential between PE and healthy pregnant women. With a false positive rate of 10%, the classifiers based on the combination of the cfDNA profile and clinical risk factors predicted early- and late-onset PE in four datasets with an average accuracy of 89 and 80% and an average sensitivity of 63 and 48%, respectively. Conclusion Incorporating cfDNA profiles in classifiers might reduce performance variations in PE models based only on clinical risk factors, potentially expanding the application of NIPT in PE screening in the future.
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Affiliation(s)
- Yan Yu
- Department of Obstetrics, Shenzhen Baoan Women’s and Children’s Hospital, Shenzhen, China
| | - Wenqiu Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Sufen Zhang
- Department of Clinical Laboratory (Institute of Medical Genetics), Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Suihua Feng
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Feng Feng
- BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - Junshang Dai
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xiao Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | | | | | - Zhiguang Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Wenrui Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Liping Guan
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Zhixu Qiu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Jianguo Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | | | - Jiawei Lin
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Qun Zhang
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Weiping Chen
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Huahua Li
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Qiang Zhao
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Gefei Xiao
- Department of Clinical Laboratory (Institute of Medical Genetics), Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Zhongzhe Li
- Department of Prevention and Health Care, Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Shihao Zhou
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
- Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal and Child Health Care Affiliated to Hunan Normal University, Changsha, China
| | - Can Peng
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
| | - Zhen Xu
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
| | - Jingjing Zhang
- Hospital Office, Changsha Hospital for Maternal and Child Health Care, Changsha, China
| | - Rui Zhang
- Department of Medical Genetics and Prenatal Diagnosis, Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, China
| | - Xiaohong He
- Department of Medical Genetics and Prenatal Diagnosis, Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, China
| | - Hua Li
- Department of Clinical Laboratory (Institute of Medical Genetics), Zhuhai Center for Maternal and Child Health Care, Zhuhai, China
| | - Jia Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
| | - Xiaohong Ruan
- Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Lijian Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang BGI Genomics, Shijiazhuang, Hebei, China
- Hebei Medical University, Shijiazhuang, Hebei, China
| | - Jun He
- Department of Genetics and Eugenics, Changsha Hospital for Maternal and Child Health Care, Changsha, China
- Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal and Child Health Care Affiliated to Hunan Normal University, Changsha, China
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Zhang B, Xi S, Liu R, Han X, Long W, Yuan X, Yu B. Maternal fibrinogen/fibrin degradation products to high density lipoprotein cholesterol ratio for predicting delivery of small and large for gestational age infants: a pilot study. Lipids Health Dis 2023; 22:221. [PMID: 38087267 PMCID: PMC10714553 DOI: 10.1186/s12944-023-01986-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 12/06/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The purpose of this pilot study was to investigate associations between fibrinogen/fibrin degradation products (FDP) to high density lipoprotein-cholesterol (HDL-C) ratio (FHR) of mothers and the risk of delivering large/small for gestational age (LGA/SGA) infants and to evaluate the predictive power of FHR on LGA/SGA. METHODS This study retrospectively reviewed 11,657 consecutive women whose lipid profiles and FDP levels were investigated at the time of admission for delivery at a specialized hospital. The FHR was calculated, and perinatal outcomes, including clinical parameters, were analyzed. RESULTS The prevalence of SGA was 9% (n = 1034), and that of LGA was 15% (n = 1806) in this cohort study. FHR was significantly lower in women who delivered SGA infants (4.0 ± 3.2 vs. 4.7 ± 3.3 mg/mmol, P < 0.01) and higher in women who delivered LGA infants (5.7 ± 3.8 vs. 4.7 ± 3.3 mg/mmol, P < 0.01) compared with those who delivered infants of normal size for their gestational age. Women in the top quartile for FHR (> 5.9 mg/mmol) had a 2.9-fold higher risk of delivering LGA infants [adjusted odds ratio (OR) = 2.9, P < 0.01] and a 47% lower risk of delivering SGA infants (adjusted OR = 0.47, P < 0.01) than those in the bottom quartile (< 2.7 mg/mmol). In addition, adding FHR to the conventional models significantly improved the area under the curve for the prediction of delivering LGA (0.725 vs. 0.739, P < 0.01) and SGA (0.717 vs. 0.727, P < 0.01) infants. CONCLUSION These findings suggest that the FHR calculated in late pregnancy is an innovative predictor of delivering LGA and SGA infants. Combining FHR with perinatal parameters could thus enhance the predictive ability for predicting the delivery of LGA/SGA infants.
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Affiliation(s)
- Bin Zhang
- Department of Medical Genetics, Changzhou Medical Center, Changzhou Maternal and Child Health Care Hospital, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023, Jiangsu, China
| | - Sijie Xi
- Department of Medical Genetics, Changzhou Medical Center, Changzhou Maternal and Child Health Care Hospital, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023, Jiangsu, China
| | - Renchen Liu
- General Education College, Anhui Institute of Information Technology, Wuhu, China
| | - Xiaoya Han
- Department of Medical Genetics, Changzhou Medical Center, Changzhou Maternal and Child Health Care Hospital, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023, Jiangsu, China
| | - Wei Long
- Department of Medical Genetics, Changzhou Medical Center, Changzhou Maternal and Child Health Care Hospital, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023, Jiangsu, China
| | - Xiaosong Yuan
- Department of Medical Genetics, Changzhou Medical Center, Changzhou Maternal and Child Health Care Hospital, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023, Jiangsu, China.
| | - Bin Yu
- Department of Medical Genetics, Changzhou Medical Center, Changzhou Maternal and Child Health Care Hospital, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023, Jiangsu, China.
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Xing L, Bai T, Liu S, Liu J, Jing X, Deng C, Xia T, Liu Y, Cheng J, Wei X, Luo Y, Zhou Q, Zhu Q, Liu H. Maternal, neonatal, pregnancy outcome characteristics of pregnant women with high plasma cell-free DNA concentration in non-invasive prenatal screening: a retrospective analysis. Front Pediatr 2023; 11:1195818. [PMID: 37664552 PMCID: PMC10469925 DOI: 10.3389/fped.2023.1195818] [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: 03/29/2023] [Accepted: 08/04/2023] [Indexed: 09/05/2023] Open
Abstract
Objective Cell-free DNA (cfDNA) is a useful biomarker in various clinical contexts. Herein, we aimed to identify maternal characteristics and pregnancy outcomes associated with a failed NIPS test due to high cfDNA concentrations. Methods A retrospective study of cases with high plasma cfDNA concentration in pregnant women in which NIPS test was performed (from 174,318 cases). We reported the detection of 126 cases (118 with complete clinical information) in which the high amount of cfDNA did not allow the performance of NIPS and study the possible causes of this result. Results 622 (0.35%) of 174,318 pregnant women had failed the NIPS test, including 126 (20.3%) cases with high plasma cfDNA concentrations. The failed NIPS due to high plasma cfDNA concentrations was associated with maternal diseases and treatment with low-molecular-weight heparin (LMWH). Further follow-up of the 118 pregnant women in the case group revealed that the pregnancy outcomes included 31 premature deliveries, 21 abortions. The cfDNA concentrations of pregnant women with preterm deliveries were 1.15 (0.89, 1.84), which differed significantly from those who had full-term deliveries. Conclusions Among pregnant women with high cfDNA concentrations, systemic autoimmune diseases, pregnancy complications and LMWH were associated with increased incidence of failed NIPS test. High maternal cfDNA concentrations may not be associated with chromosomal abnormalities in the fetus. However, they should be alerted to the possibility of preterm births and stillbirths. Further clinical studies on pregnant women with high cfDNA concentrations are required.
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Affiliation(s)
- Lingling Xing
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Ting Bai
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Sha Liu
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jianlong Liu
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xiaosha Jing
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Cechuan Deng
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Tianyu Xia
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yunyun Liu
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jing Cheng
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xiang Wei
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yuan Luo
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Quanfang Zhou
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Qian Zhu
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Hongqian Liu
- Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
- Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China
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Yu B, Zhang B, Han X, Long W, Zhou W, Yuan X. Platelet counts affect the association between hyperhomocysteinemia and pregnancy complications. BMC Public Health 2023; 23:1058. [PMID: 37268909 PMCID: PMC10236586 DOI: 10.1186/s12889-023-16027-6] [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: 02/07/2023] [Accepted: 05/31/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND The joint effect of platelet and other modifiers on the risk of pregnancy complications is unknown. This study investigated whether platelet count (PC) and total homocysteine (tHcy) level have a synergistic effect on the incidence of pregnancy complications in a Chinese population. METHODS Total 11,553 consecutive pregnant women who received whole blood cell and biochemical tests at the time of admission for labor in Changzhou Maternal and Child Health Care Hospital were analyzed. The primary outcome was the prevalence of pregnancy complications: gestational diabetes mellitus (GDM), intrahepatic cholestasis of pregnancy (ICP), pre-eclampsia (PE), and pregnancy induced hypertension (PIH). RESULTS The prevalence of GDM, ICP, PE, and PIH was 8.4%, 6.2%, 3.4%, and 2.1%, respectively. The highest rate of ICP (28.6%) was observed in women with high tHcy (> 15 μmol/L) and low PC (quartile 1); and the lowest rate of GDM (0.6%) was found in women with high tHcy and high PC (quartiles 2 to 4). In low PC group, the prevalence of ICP in women with high tHcy was significantly higher than that in women with low tHcy (≤ 15 μmol/L) (28.6% vs. 8.4%), representing an absolute risk increment of 20.2% and a relative risk increment of 3.3-fold (OR: 3.34; 95% CI: 1.55, 7.17; P = 0.002), whereas no joint effect was observed among high PC group. CONCLUSIONS Among Chinese pregnant women, one subgroup (high tHcy and low PC) has the highest risk of ICP and another (high tHcy and high PC) has the lowest risk of GDM; tHcy and platelet could be used as indicators to identify the women with high risk of ICP or low risk of GDM.
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Affiliation(s)
- Bin Yu
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Bin Zhang
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Xiaoya Han
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Wei Long
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Wenbo Zhou
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Xiaosong Yuan
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
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Viana-Mattioli S, Fonseca-Alaniz MH, Pinheiro-de-Sousa I, Krieger JE, Sandrim VC. Missing links in preeclampsia cell model systems of endothelial dysfunction. Trends Mol Med 2023:S1471-4914(23)00073-4. [PMID: 37173223 DOI: 10.1016/j.molmed.2023.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 04/06/2023] [Accepted: 04/13/2023] [Indexed: 05/15/2023]
Abstract
Preeclampsia, one of the main hypertensive disorders of pregnancy, is associated with circulating factors released by the ischemic placenta accompanied by systemic endothelial dysfunction. The etiology of preeclampsia remains poorly understood although it is associated with high maternal and fetal mortality and increased cardiovascular disease risk. Most cell model systems used for studying endothelial dysfunction have not taken into account hemodynamic physical factors such as shear-stress forces which may prevent extrapolation of cell data to in vivo settings. We overview the role of hemodynamic forces in modulating endothelial cell function and discuss strategies to reproduce this biological characteristic in vitro to improve our understanding of endothelial dysfunction associated with preeclampsia.
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Affiliation(s)
- Sarah Viana-Mattioli
- Department of Biophysics and Pharmacology, Institute of Biosciences, Sao Paulo State University (UNESP), Botucatu, São Paulo, Brazil; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, São Paulo, Brazil
| | - Miriam Helena Fonseca-Alaniz
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, São Paulo, Brazil
| | - Iguaracy Pinheiro-de-Sousa
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, São Paulo, Brazil; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - José Eduardo Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, São Paulo, Brazil
| | - Valéria Cristina Sandrim
- Department of Biophysics and Pharmacology, Institute of Biosciences, Sao Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
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Reappraisal of evolving methods in non-invasive prenatal screening: Discovery, biology and clinical utility. Heliyon 2023; 9:e13923. [PMID: 36879971 PMCID: PMC9984859 DOI: 10.1016/j.heliyon.2023.e13923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 01/16/2023] [Accepted: 02/15/2023] [Indexed: 02/24/2023] Open
Abstract
Non-invasive prenatal screening (NIPS) offers an opportunity to screen or determine features associated with the fetus. Earlier, prenatal testing was done with cytogenetic procedures like karyotyping or fluorescence in-situ hybridization, which necessitated invasive methods such as fetal blood sampling, chorionic villus sampling or amniocentesis. Over the last two decades, there has been a paradigm shift away from invasive prenatal diagnostic methods to non-invasive ones. NIPS tests heavily rely on cell-free fetal DNA (cffDNA). This DNA is released into the maternal circulation by placenta. Like cffDNA, fetal cells such as nucleated red blood cells, placental trophoblasts, leukocytes, and exosomes or fetal RNA circulating in maternal plasma, have enormous potential in non-invasive prenatal testing, but their use is still limited due to a number of limitations. Non-invasive approaches currently use circulating fetal DNA to assess the fetal genetic milieu. Methods with an acceptable detection rate and specificity such as sequencing, methylation, or PCR, have recently gained popularity in NIPS. Now that NIPS has established clinical significance in prenatal screening and diagnosis, it is critical to gain insights into and comprehend the genesis of NIPS de novo. The current review reappraises the development and emergence of non-invasive prenatal screen/test approaches, as well as their clinical application, with a focus, on the scope, benefits, and limitations.
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Chen S, Li J, Ren S, Gao Y, Zhou Y, Xuan R. Expression and clinical significance of short-chain fatty acids in pregnancy complications. Front Cell Infect Microbiol 2023; 12:1071029. [PMID: 36710961 PMCID: PMC9876977 DOI: 10.3389/fcimb.2022.1071029] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 11/29/2022] [Indexed: 01/15/2023] Open
Abstract
Objective To investigate the expression of short-chain fatty acids (SCFAs)-metabolites of intestinal flora-in gestational complications of gestational diabetes mellitus (GDM), preeclampsia (PE), and intrahepatic cholestasis of pregnancy (ICP), and its clinical significance. Methods Targeted metabonomics was used to detect SCFAs in the serum of 28 GDM pregnant women, 28 PE pregnant women, 29 ICP pregnant women, and 27 healthy pregnant women (NP); their expression changes were observed; the correlation between SCFAs and clinical characteristics was studied; and their potential as biomarkers for clinical diagnosis was evaluated. Results There were significant differences in the SCFA metabolic spectrum between the GDM, PE, ICP, and NP groups. Quantitative analysis showed that the content of isobutyric acid in the three pregnancy complications groups (the GDM, PE, and ICP groups) was significantly higher than that in the NP group (p < 0.05), and other SCFAs also showed significant differences in the three pregnancy complications groups compared with the NP group (p < 0.05). Receiver operating characteristic (ROC) curve analysis of the generalized linear model showed that multiple SCFAs were highly sensitive and specific as diagnostic markers in the pregnancy complications groups, where isobutyric acid was highly predictive in GDM (area under the ROC curve (AUC) = 0.764) and PE (AUC = 1), and caproic acid was highly predictive in ICP (AUC = 0.968), with potential clinical application. Conclusion The metabolic products of intestinal flora, SCFAs, during pregnancy are closely related to pregnancy complications (GDM, PE, and ICP), and SCFAs can be used as potential markers of pregnancy complications.
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Affiliation(s)
- Siqian Chen
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China,School of Medicine, Ningbo University, Ningbo, China
| | - Jialin Li
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China,School of Medicine, Ningbo University, Ningbo, China
| | - Shuaijun Ren
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China
| | - Yajie Gao
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China
| | - Yuping Zhou
- Department of Gastroenterology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China,*Correspondence: Yuping Zhou, ; Rongrong Xuan,
| | - Rongrong Xuan
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China,*Correspondence: Yuping Zhou, ; Rongrong Xuan,
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10
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Yuan X, Han X, Jia C, Zhou W, Yu B. Low Fetal Fraction of Cell Free DNA at Non-Invasive Prenatal Screening Increases the Subsequent Risk of Preterm Birth in Uncomplicated Singleton Pregnancy. Int J Womens Health 2022; 14:889-897. [PMID: 35860718 PMCID: PMC9289570 DOI: 10.2147/ijwh.s364554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 07/07/2022] [Indexed: 12/15/2022] Open
Abstract
Objective To examine the association between low fetal fraction (FF) of cell free DNA determined at non-invasive prenatal screening (NIPS) and the subsequent risk of preterm birth in uncomplicated singleton pregnancy. Methods We retrospectively interrogated NIPS System and hospitalization records from April 2018 to August 2019 and obtained results from 1521 consecutive and uncomplicated women with singleton pregnancy in which plasma FF of cell free DNA at NIPS had been investigated together with birth outcomes. We examined the association between FF and preterm birth (PTB) by regression analysis. Results The incidence of preterm birth, low birthweight, and macrosomia in the study population was 5.06%, 2.89%, and 7.17%, respectively. FF at NIPS in the second to fourth quartiles (8.40-11.07, 11.08-13.70, and >13.70%, respectively) was associated with higher gestational age at delivery relative to the lowest quartile (<8.40%), with estimated mean increases of 0.27 weeks (95% CI: 0.05-0.49), 0.29 weeks (95% CI: 0.06-0.51), and 0.28 weeks (95% CI: 0.05-0.51), respectively (P for trend = 0.027). Low FF (< the 5th percentile) was associated with an increased risk of PTB (adjusted OR: 2.23, 95% CI: 1.01-4.98, P = 0.047) compared to normal FF (≥ the 5th and ≤ the 95th percentiles). In addition, when compared to women with normal FF and body mass index (BMI) <25 at NIPS, the risk of early PTB (< 34 weeks gestation) was remarkably significantly higher among those with low FF and BMI ≥25 (adjusted OR: 6.29, 95% CI: 1.71-23.15, P = 0.006). Conclusion Our study supports the association of low FF at NIPS with PTB (especially early PTB) for uncomplicated singleton pregnancy.
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Affiliation(s)
- Xiaosong Yuan
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, People's Republic of China
| | - Xiaoya Han
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, People's Republic of China
| | - Chenbo Jia
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, People's Republic of China
| | - Wenbo Zhou
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, People's Republic of China
| | - Bin Yu
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, People's Republic of China
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11
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Zou Y, Xie H, Hu J, Cui L, Liu G, Wang L, Xue M, Yan J, Gao X, Gao Y, Chen ZJ. The low fetal fraction at the first trimester is associated with adverse pregnancy outcomes in IVF singleton pregnancies with single embryo transfer from frozen cycles. J Assist Reprod Genet 2022; 39:1603-1610. [PMID: 35551564 PMCID: PMC9365911 DOI: 10.1007/s10815-022-02488-y] [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: 11/09/2021] [Accepted: 04/05/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE To study the associations between fetal fraction at the first trimester and subsequent adverse pregnancy outcomes (APOs) in IVF singleton pregnancies with single embryo transfer from frozen cycles. METHODS This is a single-center retrospective cohort study on IVF singleton pregnancies with single embryo transfer from frozen cycles. A total of 8457 women were collected between March 2015 and September 2018 from the Center for Reproductive Medicine, Shandong University, China. Participants underwent cell-free DNA (cfDNA) sequencing at 11-13 weeks' gestation. Multivariable logistic regressions were performed with the risk of APOs based on various predictor variables. RESULTS A total of 8457 women were included in the analysis of which 1563 (18.48%) women developed one or more APOs. The hypertensive disorders of pregnancy (HDP) (N = 515), gestational diabetes mellitus (GDM) (N = 684), preterm birth (PTB) (N = 567), and low birth weight (LBW) (N = 306) groups had lower fetal fraction compared with the no pregnancy complication (NPC) group (all p values < 0.05). Based on the multivariable logistic regression results, the optimal cutoff values of fetal fraction were 9.30%, 12.54%, 9.10%, 12.65%, and 13.83% for at least one APO, HDP, GDM, PTB, and LBW, respectively. After adjustment for potential maternal confounders, women in the low fetal fraction (LFF) group had a higher risk for the APOs compared with high fetal fraction (HFF) group. CONCLUSIONS The fetal fraction in HDP, GDM, PTB, and LBW groups were lower than NPC group in IVF singleton pregnancies with single embryo transfer from frozen cycles in China.
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Affiliation(s)
- Yang Zou
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Hongqiang Xie
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Jingmei Hu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Linlin Cui
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Guangbao Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Lijuan Wang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Mengyang Xue
- Department of Emergency and Chest Pain Center, Qilu Hospital, Shandong University, Jinan, 250012, Shandong, China
| | - Junhao Yan
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Xuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China.
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China.
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China.
| | - Yuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China.
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China.
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China.
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, 200135, China
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200135, China
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Yuan X, Han X, Jia C, Wang H, Yu B. Association of Maternal Serum Uric Acid and Cystatin C Levels in Late Pregnancy with Adverse Birth Outcomes: An Observational Cohort Study in China. Int J Womens Health 2022; 14:213-223. [PMID: 35210868 PMCID: PMC8860627 DOI: 10.2147/ijwh.s350847] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/04/2022] [Indexed: 11/23/2022] Open
Abstract
Objective To investigate the associations between serum uric acid (UA) and cystatin C (CysC) levels in late pregnancy with major unfavorable birth outcomes. Methods We retrospectively analyzed the maternal UA and CysC levels during late pregnancy and their relationship with unfavorable birth outcomes in a Chinese population (n = 11,580). Results Women with the highest quartile of UA had higher risks of low birth weight (LBW) and small for gestational age (SGA) babies and a lower risk of preterm birth (PTB) compared to women with the lowest quartile [for LBW, adjusted-odds ratio (OR) = 2.63, 95% CI: 1.76, 3.95; for SGA, adjusted-OR = 2.11, 95% CI: 1.73, 2.57; for PTB, adjusted-OR = 0.55, 95% CI: 0.45, 0.69; all P for trend <0.001]. Compared to women in the lowest quartile of CysC, higher risks of macrosomia and large for gestational age (LGA) and lower risks of PTB and SGA were observed for those in the highest quartile (for macrosomia, adjusted-OR = 2.01, 95% CI: 1.60, 2.51; for LGA, adjusted-OR = 1.97, 95% CI: 1.67, 2.32; for PTB, adjusted-OR = 0.32, 95% CI: 0.26, 0.41; all P for trend <0.001; for SGA, adjusted-OR = 0.78, 95% CI: 0.64, 0.96; P for trend <0.05). Conclusion This study reports the associations of maternal UA and CysC with adverse birth outcomes, and suggests that routine determination of maternal UA and CysC in late pregnancy is beneficial for assessing the risks of these outcomes.
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Affiliation(s)
- Xiaosong Yuan
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou City, Jiangsu Province, People's Republic of China
| | - Xiaoya Han
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou City, Jiangsu Province, People's Republic of China
| | - Chenbo Jia
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou City, Jiangsu Province, People's Republic of China
| | - Huiyan Wang
- Department of Obstetrics and Gynecology, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou City, Jiangsu Province, People's Republic of China
| | - Bin Yu
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou City, Jiangsu Province, People's Republic of China
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Yuan X, Han X, Jia C, Long W, Wang H, Yu B, Zhou J. Investigation and Application of Risk Factors of Macrosomia Based on 10,396 Chinese Pregnant Women. Front Endocrinol (Lausanne) 2022; 13:837816. [PMID: 35557844 PMCID: PMC9088515 DOI: 10.3389/fendo.2022.837816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/21/2022] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE The objective of this study was to examine the association of fetal macrosomia with maternal D-dimer and blood lipid levels, and explore whether D-dimer and blood lipids, either alone or in combination with traditional risk factors at hospital birth, could be used to predict subsequent delivery of macrosomia. METHODS From April 2016 to March 2017, 10,396 women with singleton pregnancy giving birth at around 28-41 weeks of gestation were recruited into the present study. D-dimer and blood lipid levels were measured at hospital admission; and data on birth outcomes were obtained from hospital records. RESULTS Multivariate logistic regression analysis showed that D-dimer, triglyceride and HDL-C levels were significantly associated with risk of macrosomia independent of traditional risk factors (for D-dimer: adjusted OR: 1.33, 95% CI, 1.23-1.43; for triglyceride: adjusted OR: 1.14, 95% CI, 1.05-1.23; for HDL-C: adjusted OR: 0.35, 95% CI, 0.24-0.51, all P <0.01). More importantly, incorporating D-dimer and blood lipids into the traditional model significantly increased the area under curve (AUC) for prediction of macrosomia (0.783 vs. 0.811; P <0.01). CONCLUSION Our study demonstrates that maternal D-dimer, triglyceride, and HDL-C levels before hospital birth could be significant and independent of risk factors of fetal macrosomia. Therefore, combining D-dimer and blood lipid levels with traditional risk factors might improve the ability to predict macrosomia in gestational diabetes mellitus and normal pregnancies.
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Affiliation(s)
- Xiaosong Yuan
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Xiaoya Han
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Chenbo Jia
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Wei Long
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Huiyan Wang
- Department of Obstetrics and Gynecology Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Bin Yu
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
- *Correspondence: Bin Yu, ; Jun Zhou,
| | - Jun Zhou
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
- *Correspondence: Bin Yu, ; Jun Zhou,
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14
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Circulating Nucleic Acids in Maternal Plasma and Serum in Pregnancy Complications: Are They Really Useful in Clinical Practice? A Systematic Review. Mol Diagn Ther 2021; 24:409-431. [PMID: 32367458 DOI: 10.1007/s40291-020-00468-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE A systematic review was carried out to summarize the available evidence to assess whether circulating nucleic acids in maternal plasma and serum (CNAPS) have the potential to serve as extra and independent markers for the prediction and/or progression monitoring of the most common and severe complications of pregnancy, including preeclampsia, intrauterine growth restriction, preterm delivery, morbidly adherent placenta, gestational diabetes, antiphospholipid syndrome, threatened abortion, intrahepatic cholestasis of pregnancy, and hyperemesis gravidarum. METHOD A comprehensive literature search of the MEDLINE (PubMed), EMBASE, and ISI Web of Knowledge databases was conducted to identify relevant studies that included amounts of CNAPS in the abovementioned pregnancy complications. RESULTS Eighty-three studies met the eligibility criteria. The vast majority of studies were conducted on the quantity of total circulating cell free DNA (cfDNA) and cell free fetal DNA (cffDNA), and some were conducted on messenger RNA (mRNA) species. A few studies have instead evaluated the cell free DNA fetal fraction (cfDNAff), but only in a limited number of pregnancy complications. Despite the growing interest and the abundance of the papers available, little information is available for other new CNAPS, including microRNA (miRNA), long noncoding RNA (lncRNA), mitochondrial DNA (mtDNA), and circular RNA. CONCLUSION Due to the heterogeneity of the populations enrolled, the scarcity of the studies that adjusted the CNAPS values for possible confounding factors, and the difficulty in interpreting the published data, no conclusion regarding the statistical robustness and clinical relevance of the data can be made at present. If assayed at the third trimester, the CNAPS have, however, shown better performance, and could be used in populations already at risk of developing complications as suggested by the presence of other clinical features. Other CNAPS, including miRNA, are under investigation, especially for the screening of gestational diabetes mellitus, but no data about their clinical utility are available. Circulating DNA (cfDNA, cffDNA, and cfDNAff) and mRNA have not been properly evaluated yet, especially in patients asymptomatic early in pregnancy but who developed complications later, perhaps because of the high cost of these techniques and the availability of other predictors of pregnancy complications (biochemical, biophysical, and ultrasound markers). Therefore, from the analysis of the data, the positive predictive value is not available. As regards the new CNAPS, including miRNA, there are still no sufficient data to understand if they can be promising markers for pregnancy complications monitoring and screening, since CNAPS are statistically weak and expensive. It is reasonable to currently conclude that the use of the CNAPS in clinical practice is not recommended.
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Zhang B, Zhou L, Feng C, Liu J, Yu B. More attention should be paid to pregnant women who fail non-invasive prenatal screening. Clin Biochem 2021; 96:33-37. [PMID: 34245694 DOI: 10.1016/j.clinbiochem.2021.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE We discuss how to handle failure of first-pass non-invasive prenatal screening (NIPS) and investigate the pregnancy outcomes after second-pass failure. METHODS A total of 35,187 pregnant women underwent NIPS in a single center. Those who failed first-pass NIPS were re-tested after a repeat blood draw. Those who failed again were offered genetic counseling. We recorded antenatal data and pregnancy outcomes. RESULTS A total of 273 (0.78%) women failed the first test. On re-testing, 220 (80.59%) yielded reliable results and 53 failed the test again. Women with higher total cell-free DNA (cfDNA) levels evidenced a lower NIPS success rate (40%) and a higher incidence of adverse pregnancy outcomes. CONCLUSIONS Most women who failed first-pass NIPS yielded reliable results on repeat testing, especially those with lower fetal fraction. Higher concentrations of cfDNA in maternal plasma were associated with poorer pregnancy outcomes. Such women require special attention, thus early medical intervention, to avoid an adverse prognosis.
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Affiliation(s)
- Bin Zhang
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province 213000, China.
| | - Lingna Zhou
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province 213000, China
| | - Chuanshou Feng
- Department of Obstetrics, Changzhou Maternity and Child Health Care Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province 213000, China
| | - Jianbing Liu
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province 213000, China
| | - Bin Yu
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital affiliated to Nanjing Medical University, Changzhou, Jiangsu Province 213000, China.
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Fibrin/fibrinogen degradation products in late pregnancy promote macrosomia prediction in normal uncomplicated pregnancy. Placenta 2020; 96:27-33. [PMID: 32560855 DOI: 10.1016/j.placenta.2020.04.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/13/2020] [Accepted: 04/20/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The purpose of this study was to explore the association of fibrin/fibrinogen degradation products (FDP) levels with the risk of macrosomia, and determine whether FDP, either alone or combined with traditional factors in late pregnancy, could be used to predict macrosomia at birth in healthy pregnancies. METHODS A total of 9464 health pregnant women with singleton pregnancy were recruited in this retrospective cohort study. Maternal plasma FDP levels at hospital admission and birth outcomes were obtained from laboratory system and hospital records, respectively. RESULTS FDP levels in late pregnancy were significant higher in women who delivered macrosomia than those who delivered infants with normal weight [median (interquartile range, IQR): 8.2 (5.8-11.9) vs. 6.6 (4.7-9.6) mg/L; P < 0.001]. Multivariable logistic regression analysis demonstrated that FDP levels were independently associated with macrosomia risk. Pregnant women in the highest quartile of FDP had a 2.99-fold higher risk of delivering macrosomia compared with those in the lowest (adjusted OR: 2.99; 95% CI: 2.27-3.93). In addition, the incorporation of FDP into the crude prediction model significantly improved the area under curve (AUC) for predicting macrosomia (0.774 vs. 0.787; P < 0.001). CONCLUSION Our findings suggest that maternal plasma FDP levels in late pregnancy are independently and significantly associated with risk of macrosomia. Combination of FDP levels and traditional risk factors could promote the prediction of macrosomia.
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Yuan X, Gao Y, Zhang M, Long W, Liu J, Wang H, Yu B, Xu J. Association of maternal D-dimer level in late pregnancy with birth outcomes in a Chinese cohort. Clin Chim Acta 2019; 501:258-263. [PMID: 31730819 DOI: 10.1016/j.cca.2019.10.048] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 10/30/2019] [Accepted: 10/31/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To investigate the association of D-dimer level during late pregnancy with birth outcomes in a Chinese population. METHODS A retrospective observational cohort study of 11,570 pregnant women who delivered in a single central hospital was conducted. Maternal plasma D-dimer levels at hospital admission and pregnancy outcomes were abstracted and analyzed from laboratory information system and hospital records, respectively. RESULTS Maternal plasma D-dimer levels were associated with higher fetal growth indicators for the highest vs. lowest quartile (Q) of D-dimer (mean birth weight: 145.79 g, mean birth length: 0.11 cm, mean gestational age: 0.30 week). Increase in D-dimer quartiles were associated with an decreased risk for small for gestational age (SGA), low birth weight (LBW) and preterm birth (PTB) neonates, and with an increased risk for large for gestational age (LGA), and macrosomia infants (SGA: OR = 0.52, 95% CI: 0.43, 0.64; LBW: OR = 0.58, 95% CI: 0.38, 0.86; PTB: OR = 0.44, 95% CI: 0.35, 0.55; LGA: OR = 2.37, 95% CI: 2.01, 2.78; macrosomia: OR = 2.59, 95% CI, 2.06, 3.24; for Q4 vs. Q1). CONCLUSION Maternal plasma D-dimer levels during late pregnancy were associated with birth outcomes and had risk evaluation value for these outcomes.
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Affiliation(s)
- Xiaosong Yuan
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China
| | - Yanfang Gao
- Department of Laboratory Medicine, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China.
| | - Ming Zhang
- Department of Laboratory Medicine, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China
| | - Wei Long
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China
| | - Jianbing Liu
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China
| | - Huiyan Wang
- Department of Obstetrics and Gynecology, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China
| | - Bin Yu
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China.
| | - Jun Xu
- Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, No. 16 Ding Xiang Road, Changzhou, Jiangsu Province, China.
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