ArticleMetabolites2020
Identification of Potential Biomarkers in the Cervicovaginal Fluid by Metabolic Profiling for Preterm Birth.
Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 27 citations in OpenAlex.
- Arachidonic Acid-Induced Contraction of Smooth Muscle Is Mediated by MLC Phosphorylation in Preterm Birth.Journal of pregnancy · 2026Article
- Identification of Short-Chain Fatty Acids for Predicting Preterm Birth in Cervicovaginal Fluid Using Mass Spectrometry.International journal of molecular sciences · 2024Article
- Dysbiotic Vaginal Microbiota Induces Preterm Birth Cascade via Pathogenic Molecules in the Vagina.Metabolites · 2024Article
- Lipidomic Analysis of Cervicovaginal Fluid for Elucidating Prognostic Biomarkers and Relevant Phospholipid and Sphingolipid Pathways in Preterm Birth.Metabolites · 2023Article
- Second trimester short cervix is associated with decreased abundance of cervicovaginal lipid metabolites.American journal of obstetrics and gynecology · 2022Article
- Gardnerella vaginalis induces matrix metalloproteinases in the cervicovaginal epithelium through TLR-2 activation.Journal of reproductive immunology · 2022Article
- A Deep Look at the Vaginal Environment During Pregnancy and Puerperium.Frontiers in cellular and infection microbiology · 2022Article
- Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth andReproduction & fertility · 2021Article
- CanPolish journal of microbiology · 2021Article
- Cervicovaginal microbiota and metabolome predict preterm birth risk in an ethnically diverse cohort.JCI insight · 2021Article
- Molecular Mechanism of Microbiota Metabolites in Preterm Birth: Pathological and Therapeutic Insights.International journal of molecular sciences · 2021Review
- Article
- The Role of Innate Immune System in the Human Amniotic Membrane and Human Amniotic Fluid in Protection Against Intra-Amniotic Infections and Inflammation.Frontiers in immunology · 2021Review
- New Insights into Vaginal Environment During Pregnancy.Frontiers in molecular biosciences · 2021Article
- Vaginal metabolic profiles during pregnancy: Changes between first and second trimester.PloS one · 2021Article
- The Universal Soldier: Enzymatic and Non-Enzymatic Antioxidant Functions of Serum Albumin.Antioxidants (Basel, Switzerland) · 2020Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
During pregnancy, dysbiosis in the vaginal microbiota directly affects the metabolic profiles, which might impact preterm birth (PTB). In this study, we performed cervicovaginal fluid (CVF) metabolic profiling using nuclear magnetic resonance (NMR) spectroscopy and identified the metabolic markers for predicting PTB. In this nested case-control study, 43 South Korean pregnant women with PTB (n = 22), and term birth (TB; n = 21) were enrolled with their demographic profiles, and CVF samples were collected by vaginal swabs. The PTB group had two subgroups based on post-CVF sampling birth: PTB less than (PTB < 7 d) and more than 7 days (PTB ≥ 7 d). We observed significant differences in the gestational age at birth (GAB), cervical length (CL), and neonatal birth weight among the groups. The principal component analysis (PCA), and partial least square discriminant analysis (PLS-DA) scatter plot showed the separation between the PTB < 7 d group, and the TB group. Out of 28 identified metabolites, acetone, ethanol, ethylene glycol, formate, glycolate, isopropanol, methanol, and trimethylamine N-oxide (TMAO) were significantly increased in the PTB group compared with the TB group. The ROC curve analysis revealed that the acetone, ethylene glycol, formate, glycolate, isopropanol, methanol, and TMAO had the best predictive values for PTB. Additionally, the correlation analysis of these metabolites showed a strong negative correlation with GAB and CL. These metabolites could be beneficial markers for the clinical application of PTB prediction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.