Evidence map›Paper›PMID 40044764›Full record

ArticleScientific reports2025

A multidimensional approach reveals the function of lactylation related genes in osteoarthritis.

Shanjie Luan, Jian Luan

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. [Research progress on lactylation modification in pathogenesis of osteoarthritis].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    Review
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Shanjie LuanSchool of Basic Medical Sciences, Shandong University, 44 Wenhua Xi Road, Jinan, 250012, Shandong, China. Luan20050519@163.com.ORCID http://orcid.org/0009-0002-8569-8526
Jian LuanDepartment of Spine Surgery, Qingdao Municipal Hospital, No. 5, Middle Dong Hai Road, Qingdao, 266000, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a complex joint disease, osteoarthritis (OA) increasingly affects the elderly. Currently, existing drugs cannot cure OA. There is an urgent need for new targets. Lactylation is closely related to inflammation and is an emerging target in treatment. However, the potential of lactylation-related genes (LRGs) in OA is poorly understood. This study identified differentially expressed lactylation-related genes (DELRGs) through bioinformatics analysis, constructed a model through a combination of various machine learning methods, and performed immune infiltration analysis, single-cell analysis and molecular docking to predict drugs. Mendelian randomization was used to study the causal relationships between eQTLs and the three types of osteoarthritis. Finally, we used RT-qPCR and CCK-8 assays to validate the results of the bioinformatics analysis. We generated a model with good diagnostic efficacy and seven hub genes, which revealed that osteoarthritis is associated with the infiltration of immune cells such as dendritic cells and macrophages, as well as with the cell communication between fibroblasts and macrophages. Azacitidine, with significant docking results, was obtained through seven hub genes. The results of RT-qPCR verified the expression of LRGs and CCK-8 assay indicated that azacitidine can significantly inhibit the proliferation of OA cells. Overall, we established a lactylation-based diagnostic model and obtained novel biomarkers, which are expected to lead to the development of new strategies for the diagnosis and treatment of OA.

Indexed as

OsteoarthritisComputational BiologyHumansMolecular Docking SimulationDiagnostic modelLactylationMachine learningOsteoarthritis

Identifiers

PMID40044764
PMCPMC11882932

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