Evidence map›Paper›PMID 36837795›Full record

ArticleMetabolites2023

Lipidomic Analysis of Cervicovaginal Fluid for Elucidating Prognostic Biomarkers and Relevant Phospholipid and Sphingolipid Pathways in Preterm Birth.

Se Hee Hong, Ji-Youn Lee, Sumin Seo, Bohyun Shin, Cho Hee Jeong, Eunbin Bae, Jiyu Kim, Donghee Lee, Byungchan An, Minki Shim and 4 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Se Hee HongCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Ji-Youn LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.ORCID 0000-0002-2936-2481
Sumin SeoCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Bohyun ShinCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Cho Hee JeongCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Eunbin BaeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Jiyu KimCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Donghee LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Byungchan AnCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Minki ShimCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Jung Hoon ShinCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Dong-Kyu LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.ORCID 0000-0003-2355-8560
Young Ju KimDepartment of Obstetrics and Gynecology, Ewha Medical Research Institute, College of Medicine, Ewha Womans University, Seoul 07984, Republic of Korea.ORCID 0000-0002-3153-3008
Sang Beom HanCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.ORCID 0000-0002-5464-2151
Chung-Ang University · KREwha Womans University Medical Center · KR

Funding

Chung-Ang University Research Scholarship Grants in 2020National Research Foundation of Korea 2021R1A6A1A03044296
6 · The paper itself

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.

Indexed as

biomarkercervicovaginal fluidlipidomicspreterm birthsphingomyelinvaginal microbiome

Identifiers

PMID36837795
PMCPMC9963162
OpenAlexW4318053929

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.