Development of a New Biomarker Model for Predicting Preterm Birth in Cervicovaginal Fluid

Ji Youn Lee, Sumin Seo, Bohyun Shin, Se Hee Hong, Eunjin Kwon, Sunwha Park, Young Min Hur, Dong Kyu Lee, Young Ju Kim, Sang Beom Han

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Preterm birth (PTB) is a social problem that adversely affects not only the survival rate of the fetus, but also the premature babies and families, so there is an urgent need to find accurate biomarkers. We noted that among causes, eubiosis of the vaginal microbial community to dysbiosis leads to changes in metabolite composition. In this study, short chain fatty acids (SCFAs) representing dysbiosis were derivatized using (N-tert-butyldimethylsilyl-N-methyltrifluoroacetamide, MTBSTFA) and targeted analysis was conducted in extracted organic phases of cervicovaginal fluid (CVF). In residual aqueous CVF, polar metabolites produced biochemistry process were derivatized using methoxyamine and N,O-bis(trimethylsilyl)trifluoroacetamide (BSTFA), and non-targeted analysis were conducted. Nine SCFAs were quantified, and 58 polar metabolites were detected in 90 clinical samples using gas chromatography/mass spectrometry (GC/MS). The criteria of statistical analysis and detection rate of clinical sample for development of PTB biomarkers were presented, and 19 biomarkers were selected based on it, consisting of 1 SCFA, 2 organic acids, 4 amine compounds, and 12 amino acids. In addition, the model was evaluated as a suitable indicator for predicting PTB without distinction between sample collection time. We hope that the developed biomarkers based on microbiota-derived metabolites could provide useful diagnostic biomarkers for actual patients and pre-pregnancy.

Original languageEnglish
Article number734
Issue number8
StatePublished - Aug 2022

Bibliographical note

Funding Information:
This research was funded by the National Research Foundation of Korea (NRF) grant of Korean government (MSIT), grant no. 2020R1A2C3011850, by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant number 2021R1A6A1A03044296), and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2022R1F1A1072404).

Publisher Copyright:
© 2022 by the authors.


  • biomarker model
  • cervicovaginal fluid (CVF)
  • polar metabolite
  • preterm birth (PTB)
  • short chain fatty acid (SCFA)
  • vaginal microbiome


Dive into the research topics of 'Development of a New Biomarker Model for Predicting Preterm Birth in Cervicovaginal Fluid'. Together they form a unique fingerprint.

Cite this