Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women

Background Prediction of delivery is important for assessing due dates, providing adequate prenatal care, and suggesting appropriate interventions in preterm and post-term pregnancies. Recent metabolomic findings suggested that the temporal abundance information of metabolome can be used to predict...

Full description

Bibliographic Details
Main Authors: Lanlan Meng, Shaofei Su, Lin Li, Shengmin Liu, Youran Li, Ying Liu, Yifan Lu, Zhengwen Xu, Lin Liu, Qixin He, Yuanyuan Zheng, Xiaowei Liu, Yuting Cong, Yanhong Zhai, Zhen Zhao, Zheng Cao
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Annals of Medicine
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2022.2067895
_version_ 1828473133180387328
author Lanlan Meng
Shaofei Su
Lin Li
Shengmin Liu
Youran Li
Ying Liu
Yifan Lu
Zhengwen Xu
Lin Liu
Qixin He
Yuanyuan Zheng
Xiaowei Liu
Yuting Cong
Yanhong Zhai
Zhen Zhao
Zheng Cao
author_facet Lanlan Meng
Shaofei Su
Lin Li
Shengmin Liu
Youran Li
Ying Liu
Yifan Lu
Zhengwen Xu
Lin Liu
Qixin He
Yuanyuan Zheng
Xiaowei Liu
Yuting Cong
Yanhong Zhai
Zhen Zhao
Zheng Cao
author_sort Lanlan Meng
collection DOAJ
description Background Prediction of delivery is important for assessing due dates, providing adequate prenatal care, and suggesting appropriate interventions in preterm and post-term pregnancies. Recent metabolomic findings suggested that the temporal abundance information of metabolome can be used to predict delivery timing with high accuracy in a cohort of healthy women. However, a targeted and quantitative assay is required to further validate the clinical performance and utility of this group of metabolomic candidates in delivery prediction with a larger and independent cohort.Method LC-MS/MS quantitative assays were applied to determine the plasma concentrations of four steroid metabolites, including oestriol-16-glucuronide (E3-16-Gluc), 17-alpha-hydroxyprogesterone (17-OHP), tetrahydrodeoxycorticosterone (THDOC), and androstane-3,17-diol (A-3,17-Diol) in asymptomatic women of singleton pregnancies (≥30th gestational weeks). Subsequent statistical analysis was conducted to assess the performance of the above candidates in delivery prediction.Result Using LC-MS/MS, four steroids were separated and quantified in 5.5 min. The coefficients of variation (CVs) of the four analytes at the lower limit of quantification ranged from 7.9% to 14.6%, with the R2 values greater than 0.990 in the calibration curves. Of the 585 recruited pregnant women who ended up with spontaneous delivery, 17.1% and 82.9% of the subjects delivered within and after 7 days since plasma collection, respectively. In the receiver operator curve analysis, the gestational age-adjusted area under the curve of the combined measurements of E3-16-Gluc and 17-OHP was 0.69 (95% CI: 0.60–0.76), with the sensitivity of 87.0% (95% CI: 78.8%–92.9%) and specificity of 60.2% (95% CI: 55.7%–64.6%). Moreover, the positive and the negative predictive values were 28.3%–34.0% and 93.1%–97.4% respectively for this combined panel.Conclusion We performed analytical and clinical validation of a quantitation LC-MS/MS panel for the four steroids in the plasma of pregnant women. The steroid metabolites panel of E3-16-Gluc and 17-OHP was potentially useful for predicting delivery within one week in asymptomatic women of singleton pregnancies. Key messagesA quantitative LC-MS/MS assay for determining the plasma levels of 17-OHP, THDOC, A-3,17-Diol and E3-16-Gluc was developed and validated, in order to evaluate their predictive performance in asymptomatic delivery of singleton pregnancy. The levels of E3-16-Gluc and 17-OHP were found to be significantly elevated at the time of sampling in women that delivered within one week and their combinational testing may be potentially useful in delivery prediction.
first_indexed 2024-12-11T05:39:59Z
format Article
id doaj.art-c513cf21667a496b9b1903db6414ab54
institution Directory Open Access Journal
issn 0785-3890
1365-2060
language English
last_indexed 2024-12-11T05:39:59Z
publishDate 2022-12-01
publisher Taylor & Francis Group
record_format Article
series Annals of Medicine
spelling doaj.art-c513cf21667a496b9b1903db6414ab542022-12-22T01:19:10ZengTaylor & Francis GroupAnnals of Medicine0785-38901365-20602022-12-015411150115910.1080/07853890.2022.2067895Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant womenLanlan Meng0Shaofei Su1Lin Li2Shengmin Liu3Youran Li4Ying Liu5Yifan Lu6Zhengwen Xu7Lin Liu8Qixin He9Yuanyuan Zheng10Xiaowei Liu11Yuting Cong12Yanhong Zhai13Zhen Zhao14Zheng Cao15Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaCentral Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaHealth Biotech Co., Ltd, Beijing, ChinaHealth Biotech Co., Ltd, Beijing, ChinaDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaHealth Biotech Co., Ltd, Beijing, ChinaDepartment of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDepartment of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaSCIEX, ChinaDepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, USADepartment of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, ChinaBackground Prediction of delivery is important for assessing due dates, providing adequate prenatal care, and suggesting appropriate interventions in preterm and post-term pregnancies. Recent metabolomic findings suggested that the temporal abundance information of metabolome can be used to predict delivery timing with high accuracy in a cohort of healthy women. However, a targeted and quantitative assay is required to further validate the clinical performance and utility of this group of metabolomic candidates in delivery prediction with a larger and independent cohort.Method LC-MS/MS quantitative assays were applied to determine the plasma concentrations of four steroid metabolites, including oestriol-16-glucuronide (E3-16-Gluc), 17-alpha-hydroxyprogesterone (17-OHP), tetrahydrodeoxycorticosterone (THDOC), and androstane-3,17-diol (A-3,17-Diol) in asymptomatic women of singleton pregnancies (≥30th gestational weeks). Subsequent statistical analysis was conducted to assess the performance of the above candidates in delivery prediction.Result Using LC-MS/MS, four steroids were separated and quantified in 5.5 min. The coefficients of variation (CVs) of the four analytes at the lower limit of quantification ranged from 7.9% to 14.6%, with the R2 values greater than 0.990 in the calibration curves. Of the 585 recruited pregnant women who ended up with spontaneous delivery, 17.1% and 82.9% of the subjects delivered within and after 7 days since plasma collection, respectively. In the receiver operator curve analysis, the gestational age-adjusted area under the curve of the combined measurements of E3-16-Gluc and 17-OHP was 0.69 (95% CI: 0.60–0.76), with the sensitivity of 87.0% (95% CI: 78.8%–92.9%) and specificity of 60.2% (95% CI: 55.7%–64.6%). Moreover, the positive and the negative predictive values were 28.3%–34.0% and 93.1%–97.4% respectively for this combined panel.Conclusion We performed analytical and clinical validation of a quantitation LC-MS/MS panel for the four steroids in the plasma of pregnant women. The steroid metabolites panel of E3-16-Gluc and 17-OHP was potentially useful for predicting delivery within one week in asymptomatic women of singleton pregnancies. Key messagesA quantitative LC-MS/MS assay for determining the plasma levels of 17-OHP, THDOC, A-3,17-Diol and E3-16-Gluc was developed and validated, in order to evaluate their predictive performance in asymptomatic delivery of singleton pregnancy. The levels of E3-16-Gluc and 17-OHP were found to be significantly elevated at the time of sampling in women that delivered within one week and their combinational testing may be potentially useful in delivery prediction.https://www.tandfonline.com/doi/10.1080/07853890.2022.2067895Delivery predictionmetabolismLC-MS/MSsteroidassay validation
spellingShingle Lanlan Meng
Shaofei Su
Lin Li
Shengmin Liu
Youran Li
Ying Liu
Yifan Lu
Zhengwen Xu
Lin Liu
Qixin He
Yuanyuan Zheng
Xiaowei Liu
Yuting Cong
Yanhong Zhai
Zhen Zhao
Zheng Cao
Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women
Annals of Medicine
Delivery prediction
metabolism
LC-MS/MS
steroid
assay validation
title Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women
title_full Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women
title_fullStr Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women
title_full_unstemmed Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women
title_short Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women
title_sort delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women
topic Delivery prediction
metabolism
LC-MS/MS
steroid
assay validation
url https://www.tandfonline.com/doi/10.1080/07853890.2022.2067895
work_keys_str_mv AT lanlanmeng deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT shaofeisu deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT linli deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT shengminliu deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT youranli deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT yingliu deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT yifanlu deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT zhengwenxu deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT linliu deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT qixinhe deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT yuanyuanzheng deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT xiaoweiliu deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT yutingcong deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT yanhongzhai deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT zhenzhao deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen
AT zhengcao deliverypredictionbyquantitativeanalysisoffoursteroidmetaboliteswithliquidchromatographytandemmassspectrometryinasymptomaticpregnantwomen