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タイトル: | Analysis of Molecular Changes and Features in Rat Knee Osteoarthritis Cartilage: Progress From Cellular Changes to Structural Damage |
著者: | Zhao, Zixi Ito, Akira ![]() ![]() ![]() Kuroki, Hiroshi Aoyama, Tomoki ![]() ![]() ![]() |
著者名の別形: | 伊藤, 明良 黒木, 裕士 青山, 朋樹 |
キーワード: | animal model cartilage osteoarthritis RNA sequencing |
発行日: | 17-Nov-2023 |
出版者: | SAGE Publications |
誌名: | Cartilage |
抄録: | [Objective] Although knee osteoarthritis (KOA) is a common disease, there is a lack of specific prevention and early treatment methods. Hence, this study aimed to examine the molecular changes occurring at different stages of KOA to elucidate the dynamic nature of the disease. [Design] Using a low-force compression model and analyzing RNA sequencing data, we identified molecular changes in the transcriptome of knee joint cartilage, including gene expression and molecular pathways, between the cellular changes and structural damage stages of KOA progression. In addition, we validated hub genes using an external dataset. [Results] Gene set enrichment analysis (GSEA) identified the following pathways to be associated with KOA: “B-cell receptor signaling pathway, ” “cytokine-cytokine receptor interaction, ” and “hematopoietic cell lineage.” Expression analysis revealed 585 differentially expressed genes, with 579 downregulated and 6 upregulated genes. Enrichment and clustering analyses revealed that the main molecular clusters were involved in cell cycle regulation and immune responses. Furthermore, the hub genes Csf1r, Cxcr4, Cxcl12, and Ptprc were related to immune responses. [Conclusions] Our study provides insights into the dynamic nature of early-stage KOA and offers valuable information to support the development of effective intervention strategies to prevent the irreversible damage associated with KOA, thereby addressing a major clinical challenge. |
著作権等: | © The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
URI: | http://hdl.handle.net/2433/290361 |
DOI(出版社版): | 10.1177/19476035231213174 |
PubMed ID: | 37978830 |
出現コレクション: | 学術雑誌掲載論文等 |

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