Evidence map›Paper›PMID 37853432›Full record

ArticleEuropean journal of medical research2023

Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients.

Dilinuer Wufuer, YuanYuan Li, Haidiya Aierken, JinPing Zheng

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Modulation of Ferroptosis During EarlybioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. LncRNA-CFTBS enhancesVirulence · 2025
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  6. 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

4 authors at 4 institutions in 1 country.

Dilinuer WufuerThe First Affiliated Hospital of Guangzhou Medical University/National Clinical Research Center for Respiratory Disease/National Respiratory Medical Center/State Key Laboratory of Respiratory Disease/Guangzhou Institute of Respiratory Health, NO. 151 Yanjang Road, Guangzhou, 510120, China.
YuanYuan LiDepartment of Respiratory Medicine, Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, 830049, Xinjiang, China.
Haidiya AierkenDepartment of Respiratory Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
JinPing ZhengThe First Affiliated Hospital of Guangzhou Medical University/National Clinical Research Center for Respiratory Disease/National Respiratory Medical Center/State Key Laboratory of Respiratory Disease/Guangzhou Institute of Respiratory Health, NO. 151 Yanjang Road, Guangzhou, 510120, China. zhengjp0417@126.com.
First Affiliated Hospital of Xinjiang Medical University · CNGuangzhou Medical University · CNState Key Laboratory of Respiratory Disease · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFerroptosis is closely associated with the pathophysiological processes of many diseases, such as infection, and is characterized by the accumulation of excess lipid peroxides on the cell membranes. However, studies on the ferroptosis-related diagnostic markers in tuberculosis (TB) is still lacking. Our study aimed to explore the role of ferroptosis-related biomarkers and molecular subtypes in TB.

methodsGSE83456 dataset was applied to identify ferroptosis-related genes (FRGs) associated with TB, and GSE42826, GSE28623, and GSE34608 datasets for external validation of core biomarkers. Core FRGs were identified using weighted gene co-expression network analysis (WGCNA). Subsequently, two ferroptosis-related subtypes were constructed based on ferroptosis score, and differently expressed analysis, GSEA, GSEA, immune cell infiltration analysis between the two subtypes were performed.Affiliations: Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.correctly

resultsA total of 22 FRGs were identified, of which three genes (CHMP5, SAT1, ZFP36) were identified as diagnostic biomarkers that were enriched in pathways related to immune-inflammatory response. In addition, TB patients were divided into high- and low-ferroptosis subtypes (HF and LF) based on ferroptosis score. HF patients had activated immune- and inflammation-related pathways and higher immune cell infiltration levels than LF patients.

conclusionThree potential diagnostic biomarkers and two ferroptosis-related subtypes were identified in TB patients, which would help to understand the pathogenesis of TB.Author names: Kindly check and confirm the process of the author names [2,4]correctly.

Indexed as

FerroptosisTuberculosisBiomarkersCell MembraneComputational BiologyGene Expression ProfilingHumansBiomarkersDiagnostic biomarkersFerroptosisMolecular typesTuberculosisxCell

Identifiers

PMID37853432
PMCPMC10585777
OpenAlexW4387765746

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Registered trials

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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.