Evidence map›Paper›PMID 39042632›Full record

ArticlePloS one2024

Exploring the role of ferroptosis-related genes as biomarkers in acute kidney injury.

Gang Luo, Yi Gao, Ziyu Zheng, Baobao Gao, Lini Wang, Xuemiao Tang, Chong Lei

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Gang LuoDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.ORCID 0000-0002-9778-5988
Yi GaoDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
Ziyu ZhengDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
Baobao GaoDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
Lini WangDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
Xuemiao TangDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
Chong LeiDepartment of Anesthesiology and Perioperative Medicine, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute kidney injury (AKI) is a severe condition with high morbidity and mortality. Innovative biomarkers and treatments are essential for improving patient outcomes. This study aims to investigate the role of ferroptosis-related genes (FRGs) in AKI for identifying potential biomarkers and therapeutic targets.

methodsWe analyzed mRNA expression profiles from the Gene Expression Omnibus (GEO: GSE139061) dataset, comparing 36 AKI samples with 9 normal samples. Differentially expressed genes (DEGs) were identified using the R software package limma. Functional enrichment analyses were conducted using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Key biomarkers were validated through area under the curve (AUC) values, and immune cell infiltration was analyzed using CIBERSORT.

resultsWe identified 78 differentially expressed FRGs, with 27 up-regulated and 51 down-regulated genes. Key signaling pathways included MAPK, ferroptosis, and p53. Five genes-NR4A1, GLRX5, USP35, AEBP2, and MDM4-were identified as potential biomarkers, each demonstrating AUC values greater than 0.800. Specifically, MDM4 showed significant potential by promoting the phosphorylation of p53 at Ser46, enhancing mitochondrial apoptotic activity. Immune analysis revealed a significant elevation of M0 macrophages in AKI samples compared to normal samples (P < 0.01).

conclusionOur findings highlight the critical role of ferroptosis-related genes in AKI, identifying NR4A1, GLRX5, USP35, AEBP2, and MDM4 as key biomarkers with high diagnostic potential. These results provide novel insights into the molecular mechanisms of AKI.

Indexed as

Acute Kidney InjuryBiomarkersFerroptosisGene Expression ProfilingGene OntologyHumansSignal TransductionBiomarkers

Identifiers

PMID39042632
PMCPMC11265698

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