Affiliation:
1. College of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea
2. Department of Obstetrics and Gynecology, Ewha Medical Research Institute, College of Medicine, Ewha Womans University, Seoul 07984, Republic of Korea
Abstract
Cervicovaginal fluid (CVF) is an excellent specimen for monitoring preterm birth (PTB) as it characterizes cervical metabolites, the vaginal environment, and specific host immune responses. However, extensive lipid analysis of CVF to explain PTB has not been studied. In this study, we performed a systematic analysis combining high-throughput lipid analysis and omics to discover the unique metabolic properties of the cervix. Liquid chromatography-high resolution mass spectrometry successfully detected a total of 190 lipids in the CVF of 30 PTB and 30 term birth (TB) pregnant women. The whole lipidomics dataset analyzed by combining multivariate and univariate statistical analysis revealed 35 lipid biomarkers, including phospholipids and sphingolipids. Remarkably, sphingomyelin, which plays a physiologically essential role in sphingolipids, was significantly downregulated in PTB. Metabolic pathway study provides a close relationship between vaginal microbial organization and cell membrane formation, further supporting the robustness of our findings. Sphingolipids and phospholipids, which were determined to be important lipids for predicting PTB in our study, showed a high value of receiver operating characteristic (ROC) curve >0.7, indicating that a lipid diagnostic test and understanding the mechanism of lipids is highly related to the vaginal microbiome. Therefore, our result has high potential as a predictor of PTB.
Funder
National Research Foundation of Korea
Chung-Ang University
Subject
Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism
Reference42 articles.
1. Epidemiology and causes of preterm birth;Goldenberg;Lancet,2008
2. Preterm birth and mortality in adulthood: A systematic review;Crump;J. Perinatol.,2020
3. Global burden of preterm birth;Walani;Int. J. Gynecol. Obstet.,2020
4. Prediction of preterm birth: Maternal characteristics, ultrasound markers, and biomarkers: An updated overview;Kaplan;J. Pregnancy,2018
5. Can Biofluids Metabolic Profiling Help to Improve Healthcare during Pregnancy?;Diaz;Spectrosc. Int. J.,2012
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献