Evidence map›Paper›PMID 38200445›Full record

ArticleBMC pregnancy and childbirth2024

Novel cuproptosis-related prognostic gene profiles in preeclampsia.

Xiaotong Tang, Yi Liu, Yuanyuan Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Identification and Validation of DLD as a Cuproptosis-Associated Biomarker in Preeclampsia.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
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

3 authors at 2 institutions in 1 country.

Xiaotong Tang *Department of Obstetrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yi Liu *Department of Obstetrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yuanyuan ZhangDepartment of Obstetrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. yuanyuanzhang@njmu.edu.cn.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

The National Natural Science Foundation of China 81801472The Natural Science Foundation of Jiangsu Province BK20181080
6 · The paper itself

Abstract

backgroundPreeclampsia (PE) is a pregnancy-specific disorder with complex pathogenesis. Cuproptosis is a novel identified form of programmed cell death, however, the link between cuproptosis and clinical outcomes in PE is still not fully understood. In this study, we searched for cuproptosis-related genes (CRGs) in the placental tissues of normal and PE patients to clarify the importance of cuproptosis in the development of PE and provide potential predictive indicators for the occurrence of PE.

methodsUsing RNA sequencing data in the GEO database, we conducted functional enrichment analysis of Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA), supported by linear regression model and operating characteristic curve (ROC) curve analysis, and summarized the role of CRGs in preeclampsia.

resultsA total of 2831 differentially expressed genes related to PE were screened through multiple database analyses. After further intersection with 19 reported CRGs, 5 CRGs have been closely associated with the pathogenesis of PE, including NFE2L2, PDHA1, PDHB, DLD and GLS. NFE2L2 was identified as a key central gene. Pearson correlation analysis showed that CRGs could be related to several maternal and fetal outcome factors, including the highest pregnancy blood pressure, placenta weight, umbilical blood flow pulsatility index (PI), and neonatal weight. Linear regression equation revealed that the expression of NFE2L2 is negatively correlated with the highest pregnancy blood pressure and umbilical blood flow PI but positively correlated with placental weight and neonatal weight. QRT-PCR showed that the expression of these CRGs was significantly lower in placental tissues.

conclusionsThis cuproptosis pattern may be a potential prognostic factor in patients with PE and could provide new insights into disease progression.

Indexed as

Pre-EclampsiaApoptosisDisease ProgressionFemaleHumansInfant, NewbornPlacentaPregnancyPrognosisCell deathCuproptosisPreeclampsia

Identifiers

PMID38200445
PMCPMC10777556
OpenAlexW4390695956

What Socratic holds

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LicenceCC BY
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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.