Evidence map›Paper›PMID 36101331›Full record

ArticleBiology2022

Ferroptosis-Related Proteins Are Potential Diagnostic Molecular Markers for Patients with Preeclampsia.

Meiting Shi, Xiaofeng Yang, Yuzhen Ding, Lu Sun, Ping Zhang, Mengyuan Liu, Xiaoxue Han, Zhengrui Huang, Ruiman Li

Abstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

9 authors.

Meiting ShiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Xiaofeng YangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Yuzhen DingDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Lu SunDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Ping ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Mengyuan LiuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Xiaoxue HanDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Zhengrui HuangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.
Ruiman LiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China.ORCID 0000-0001-7678-3580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) is the leading cause of maternal and fetal mortality and morbidity. Early and accurate diagnosis is critical to reduce mortality. Placental oxidative stress has been identified as a major pathway to the development of PE. Ferroptosis, a new form of regulated cell death, is associated with iron metabolism and oxidative stress, and has been suspected to play a role in the pathophysiology of PE, although the mechanism is yet to be elucidated. The identification of potential ferroptosis-related biomarkers is of great significance for the early diagnosis and treatment of PE. A gene expression dataset of peripheral blood samples was downloaded from the Gene Expression Omnibus (GEO) dataset. Differentially expressed genes (DEGs) were filtrated with the R package “limma”. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of the DEGs were then conducted. Ferroptosis-related DEGs were screened by overlapping the ferroptosis-related genes with DEGs. The protein−protein interaction (PPI) network was used to identify the key ferroptosis-related DEGs. Enzyme-linked immunosorbent assay (ELISA) was used to validate changes in the selected key ferroptosis-related DEGs. The correlations between the key genes and clinical and pathological characteristics were analyzed. Finally, the diagnostic value of these key genes for PE was confirmed by a receiver operating characteristic (ROC) curve. A total of 5913 DEGs were identified and 45 ferroptosis-related DEGs were obtained. Besides, ferroptosis-related pathways were enriched by KEGG using DEGs. The PPI network showed that p53 and c-Jun were the critical hub genes. ELISA showed that p53 in the serum of PE patients was higher than that of the control group, while c-Jun was lower than that of the control group. Analysis of the clinicopathological features showed that p53 and c-Jun were correlated with the PE characteristics. Finally, based on the area under curve (AUC) values, c-Jun had the superior diagnostic power (AUC = 0.87, p < 0.001), followed by p53 (AUC = 0.75, p < 0.001). Our study identified that two key genes, p53 and c-Jun, might be potential diagnostic biomarkers of PE.

Indexed as

bioinformaticsdiagnosisferroptosispreeclampsia

Identifiers

PMID36101331
PMCPMC9311911

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