Evidence map›Paper›PMID 41019096›Full record

ArticleFrontiers in immunology2025

A splicing-based multitissue association study of joint transcriptomes identified susceptibility genes for osteoarthritis.

Lantao Zhang, Fuxing Zhao, Hengheng Zhang, Xingbang Niu, Youliang Li, Chunxia Zhao, Jianhua Ding, Chaozheng Liu

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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Lantao ZhangDepartment of Bone and Joint Surgery, Affiliated Hospital of Qinghai University, Xining, China.
Fuxing ZhaoDepartment of Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Xining, China.
Hengheng ZhangDepartment of Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Xining, China.
Xingbang NiuDepartment of Bone and Joint Surgery, Affiliated Hospital of Qinghai University, Xining, China.
Youliang LiDepartment of Bone and Joint Surgery, Affiliated Hospital of Qinghai University, Xining, China.
Chunxia ZhaoDepartment of Child Health Care, Qinghai Red Cross Hospital, Xining, Qinghai, China.
Jianhua DingDepartment of Hematology, Wuwei Cancer Hospital of Gansu Province, Wuwei, Gansu, China.
Chaozheng LiuDepartment of Bone and Joint Surgery, Affiliated Hospital of Qinghai University, Xining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoarthritis (OA) is a common chronic degenerative joint disease worldwide, which seriously affects the quality of life of patients and adds economic burden. Although genome-wide association studies (GWAS) have identified multiple genetic loci associated with OA, the functional mechanisms of these loci remain unclear. Transcriptome association studies (TWAS) combining gene expression and GWAS data have provided new perspectives to explore the genetic basis of OA. Methods: This study integrated cross-tissue and single-tissue TWAS analyses as well as single-cell sequencing data to identify and validate the key genes associated with OA. Cross- and single-tissue analyses were performed using the UTMOST, FUSION, and MAGMA methods, while single-cell sequencing was applied for the investigation of the expression characteristics, pseudotemporal trajectories, and cell-to-cell communication patterns of the latent transforming growth factor beta binding protein 1 (LTBP1) in different cell subtypes. Results: This study identified multiple candidate genes associated with OA, among which LTBP1 displayed a significant association in both cross-tissue and single-tissue analyses (FDR < 0.05) and was validated as a key regulator of the transforming growth factor-beta (TGF-β) signaling pathway. Single-cell sequencing revealed that LTBP1 was differentially expressed in different chondrocyte subtypes and was associated with high enrichment of the Notch signaling pathway. Pseudotemporal analysis revealed the dynamic regulatory role of LTBP1 in chondrocyte differentiation. Conclusion: Intercellular communication analysis revealed that cells with high LTBP1 expression activated diverse signaling pathways such as TGF-β and vascular endothelial growth factor (VEGF), suggesting that it may be involved in the pathogenesis of OA by regulating the formation of the extracellular matrix and the immune response.

Indexed as

Genetic Predisposition to DiseaseOsteoarthritisTranscriptomeChondrocytesFemaleGene Expression ProfilingGenome-Wide Association StudyHumansMaleSignal TransductionSingle-Cell Analysisgenetic susceptibilityLTBP1osteoarthritissingle-cell sequencingtranscriptome association study

Identifiers

PMID41019096
PMCPMC12460263

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