Evidence map›Paper›PMID 37723556›Full record

ArticleJournal of orthopaedic surgery and research2023

Ferroptosis-related genes LPCAT3 and PGD are potential diagnostic biomarkers for osteoarthritis.

Lufei Wang, Shouxiu Ye, Jianliang Qin, Min Tang, Ming-You Dong, Jie Fang

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Identification of telomere-related diagnostic markers in osteoarthritis based on bioinformatics analysis and machine learning.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Article
  5. Review
  6. Review
  7. Review
  8. Ferroptosis in Arthritis: Driver of the Disease or Therapeutic Option?International journal of molecular sciences · 2024
    Review
  9. Article
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

6 authors at 3 institutions in 1 country.

Lufei WangGuangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction & Department of Orthodontics, College and Hospital of Stomatology, Guangxi Medical University, Nanning, China.
Shouxiu YeGuangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction & Department of Orthodontics, College and Hospital of Stomatology, Guangxi Medical University, Nanning, China.
Jianliang QinGuangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction & Department of Orthodontics, College and Hospital of Stomatology, Guangxi Medical University, Nanning, China.
Min TangGuangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction & Department of Orthodontics, College and Hospital of Stomatology, Guangxi Medical University, Nanning, China.
Ming-You DongThe Key Laboratory of Molecular Pathology (For Hepatobiliary Diseases) of Guangxi, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. mydong@ymcn.edu.cn.
Jie FangState Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China. jiefangscu@qq.com.
Guangxi Medical University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNSichuan University · CN

Funding

Guangxi Natural Science Foundation 2023GXNSFBA026125National Natural Science Foundation of China 32000928
6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is the most common chronic joint disease and how ferroptosis contributes to OA has garnered much attention recently. Bioinformatics promoted the discovery of ferroptosis-related biomarkers for OA. But since OA is a whole-joint disease, sensitive biomarkers for OA are still limited. We herein focused on subchondral bone, a joint component often-ignored by existing bioinformatic reports, to identify ferroptosis-related diagnostic biomarkers for OA.

methodMicroarray datasets GSE51588 and GSE55457 were downloaded from Gene Expression Omnibus database. Ferroptosis-related differential expression genes (Ferr-DEGs) between OA and normal samples were identified and their functional enrichment was analyzed. Common genes for OA diagnosis were selected from Ferr-DEGs using the combination of SVM-RFE, LASSO regression, and RandomForest machine learning algorithms. Common genes' diagnostic value was verified by receiver operating characteristic (ROC) curve and their association with immune infiltration was analyzed by CIBERSORT. Finally, candidate gene's expression was verified in chondrocytes from OA patients and in an in vitro IL-1β-induced OA model, by RT-PCR.

resultsTwo ferroptosis-related genes, LPCAT3 and PGD, were identified as OA diagnostic biomarkers and confirmed by ROC diagnostic test. The association of LPCAT3 and PGD with the infiltration of several types of immune cells was identified. The decreased expression of LPCAT3 and PGD was both confirmed in OA chondrocytes and IL-1β-induced OA condition.

conclusionsWe identified ferroptosis-related genes LPCAT3 and PGD as potential diagnostic biomarkers for OA, which may offer insight into the role of ferroptosis in OA and provides useful information for the diagnosis and treatment of OA.

Indexed as

FerroptosisOsteoarthritisPreimplantation Diagnosis1-Acylglycerophosphocholine O-AcyltransferaseAlgorithmsChondrocytesFemaleHumansPregnancy1-Acylglycerophosphocholine O-AcyltransferaseLPCAT3 protein, humanBioinformatic analysisDiagnostic biomarkerFerroptosisImmune infiltrationOsteoarthritis

Identifiers

PMID37723556
PMCPMC10507893
OpenAlexW4386843310

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LicenceCC BY
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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.