Evidence map›Paper›PMID 38720455›Full record

ArticleAnimal models and experimental medicine2024

Identification of mitophagy-related biomarkers in osteoarthritis.

Shiqiang Ruan, Dongxu Tang, Yanfei Luo, Hao Song

Abstract read
In one paragraph

Article in Animal models and experimental medicine, 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

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Identification of mitophagy-related biomarkers in osteoarthritis.Animal models and experimental medicine · 2024
    Article
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

4 authors.

Shiqiang RuanDepartment of Orthopaedics Surgery, the First People's Hospital of Zunyi City (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, China.ORCID 0009-0003-4477-2117
Dongxu TangDepartment of Orthopaedics Surgery, the First People's Hospital of Zunyi City (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, China.
Yanfei LuoDepartment of Orthopaedics Surgery, the First People's Hospital of Zunyi City (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, China.
Hao SongDepartment of Orthopaedics Surgery, the First People's Hospital of Zunyi City (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, China.

Funding

Guizhou Province Science and Technology Program ProjectGuizhou Provincial Health Commission Science and Technology Foundation ProjectGuizhou Science and Technology Program ProjectZunyi Science and Technology Bureau and the First People's Hospital of Zunyi joint science and Technology Research and development fund project
6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a common joint disease, and existing drugs cannot cure OA, so there is an urgent need to identify new targets. Mitophagy plays an important role in OA; however, the role of mitophagy in the OA immune system is not yet clear.

methodsIn this study, differential analysis and enrichment analysis were used to identify mitophagy-related genes (MRGs) with differential expression in OA and the functional pathways involved in OA. Subsequently, two machine learning methods, RF and LASSO, were used to screen MRGs with diagnostic value and construct nomograms. At the same time, the relationship between mitophagy and OA immune response was explored by immunoinfiltration analysis.

resultsForty-three differentially MRGs were identified in OA, of which six MRGs (GABARAPL2, PARL, GABARAPL1, JUN, RRAS, and SNX7) were associated with the diagnosis of OA. The ROC analysis results show that these 6 MRGs have high predictive accuracy in the diagnosis of OA. In immune infiltration analysis, we found that the abundance of significantly different immune cells in OA was mostly upregulated. In addition, the expression of diagnostic-related MRGs is correlated with changes in the abundance of immune cells in OA.

conclusionThis study demonstrates that six MRGs can be used as diagnostic biomarkers. The expression of diagnostic-related MRGs is correlated with changes in the abundance of immune cells in OA. At the same time, mitophagy may affect the immune microenvironment of OA by regulating immune cells, ultimately leading to the progression of OA.

Indexed as

BiomarkersMitophagyOsteoarthritisAnimalsHumansMachine LearningBiomarkersdiagnosisimmune cell infiltrationmachine learningmitophagyosteoarthritis (OA)quantitative real‐time polymerase chain reaction (qPCR)

Identifiers

PMID38720455
PMCPMC11680475

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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.