Evidence map›Paper›PMID 38879866›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Lipidomic signatures in patients with early-onset and late-onset Preeclampsia.

Yu Huang, Qiaoqiao Sun, Beibei Zhou, Yiqun Peng, Jingyun Li, Chunyan Li, Qing Xia, Li Meng, Chunjian Shan, Wei Long

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Association Between Total Cholesterol-to-High-Density Lipoprotein Ratio and Gestational Hypertension: A Case-Control Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  4. Review
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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

10 authors.

Yu HuangDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Qiaoqiao SunDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Beibei ZhouDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Yiqun PengDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Jingyun LiNanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, China.
Chunyan LiDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Qing XiaDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Li MengDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Chunjian ShanDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Wei LongDepartment of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China. wlong@njmu.edu.cn.

Funding

Jiangsu Provincial Medical Youth Talent QNRC2016111The National Natural Science Foundation of China 82071672The Natural Science Foundation of Jiangsu Province BK20201122The Six Talent Peaks Project of Jiangsu Province YY-112
6 · The paper itself

Abstract

backgroundPreeclampsia is a pregnancy-specific clinical syndrome and can be subdivided into early-onset preeclampsia (EOPE) and late-onset preeclampsia (LOPE) according to the gestational age of delivery. Patients with preeclampsia have aberrant lipid metabolism. This study aims to compare serum lipid profiles of normal pregnant women with EOPE or LOPE and screening potential biomarkers to diagnose EOPE or LOPE.

methodsTwenty normal pregnant controls (NC), 19 EOPE, and 19 LOPE were recruited in this study. Untargeted lipidomics based on ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to compare their serum lipid profiles.

resultsThe lipid metabolism profiles significantly differ among the NC, EOPE, and LOPE. Compared to the NC, there were 256 and 275 distinct lipids in the EOPE and LOPE, respectively. Furthermore, there were 42 different lipids between the LOPE and EOPE, of which eight were significantly associated with fetal birth weight and maternal urine protein. The five lipids that both differed in the EOPE and LOPE were DGTS (16:3/16:3), LPC (20:3), LPC (22:6), LPE (22:6), PC (18:5e/4:0), and a combination of them were a potential biomarker for predicting EOPE or LOPE. The receiver operating characteristic analysis revealed that the diagnostic power of the combination for distinguishing the EOPE from the NC and for distinguishing the LOPE from the NC can reach 1.000 and 0.992, respectively. The association between the lipid modules and clinical characteristics of EOPE and LOPE was investigated by the weighted gene co-expression network analysis (WGCNA). The results demonstrated that the main different metabolism pathway between the EOPE and LOPE was enriched in glycerophospholipid metabolism.

conclusionsLipid metabolism disorders may be a potential mechanism of the pathogenesis of preeclampsia. Lipid metabolites have the potential to serve as biomarkers in patients with EOPE or LOPE. Furthermore, lipid metabolites correlate with clinical severity indicators for patients with EOPE and LOPE, including fetal birth weight and maternal urine protein levels.

Indexed as

BiomarkersLipidomicsLipidsPre-EclampsiaAdultChromatography, High Pressure LiquidFemaleGestational AgeHumansLipid MetabolismPregnancyTandem Mass SpectrometryBiomarkersLipidsBiomarkersEarly-onset preeclampsiaLate-onset preeclampsiaLipidomicsPreeclampsia

Identifiers

PMID38879866
PMCPMC11180640

What Socratic 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 Socratic graph.