Analysis of key genes and pathways of knee osteoarthritis based on GEO data mining.
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| Názov: | Analysis of key genes and pathways of knee osteoarthritis based on GEO data mining. |
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| Autori: | Gao Y; People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, China. |
| Zdroj: | Medicine [Medicine (Baltimore)] 2025 Nov 28; Vol. 104 (48), pp. e46250. |
| Spôsob vydávania: | Journal Article |
| Jazyk: | English |
| Informácie o časopise: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Hagerstown, Md : Lippincott Williams & Wilkins |
| Výrazy zo slovníka MeSH: | Osteoarthritis, Knee*/genetics , Data Mining*/methods, Humans ; Signal Transduction/genetics ; Protein Interaction Maps/genetics ; Computational Biology/methods ; Databases, Genetic ; Gene Ontology ; Gene Expression Profiling |
| Abstrakt: | This study aims to give significant information for the research and treatment of knee osteoarthritis (KOA) targets, using bioinformatics methods to uncover the associated genes of KOA and explore their expression and clinical importance. GEO database was used to analyze differential genes of KOA, R was used to perform pathway enrichment analysis and functional annotation of differential genes, a protein-protein interaction network of differential genes was constructed, core modules of the protein-protein interaction network of relationship targets were screened, and common genes of 2 protein relationships were obtained. After combining, correcting, and screening the GSE51588, GSE55457, and GSE82107 data sets, 488 differential genes and 297 disease intersection targets were identified. The gene ontology study primarily focused on neutrophil activation and neutrophil activation in immunological response. Depending on Kyoto encyclopedia of genes and genomes analysis, signal pathways mostly included MAPK, IL-17, Wnt, TNF, and other information pathways. Biomarkers and treatment targets of KOA are likely to be PPBP, FPR2, PF4, ELANE, ORM1FPR1, PENK, POMC, RETN, ARG1, HIST1H2BB, and HIST1H2BJ. KOA can be treated clinically by regulating the expression of the above targets, activating or inhibiting related signal pathways, anti-inflammation, regulating apoptosis, and lowering oxidative stress. (Copyright © 2025 the Author(s). Published by Wolters Kluwer Health, Inc.) |
| References: | Int J Mol Sci. 2021 Jul 27;22(15):. (PMID: 34360771) J Arthroplasty. 2021 Sep;36(9):3097-3100. (PMID: 33941412) Zhongguo Zhong Yao Za Zhi. 2020 Feb;45(3):609-616. (PMID: 32237520) Proc Natl Acad Sci U S A. 2017 Aug 29;114(35):9332-9336. (PMID: 28808025) Osteoarthritis Cartilage. 2019 Apr;27(4):667-675. (PMID: 30597276) Nucleic Acids Res. 2013 Jan;41(Database issue):D808-15. (PMID: 23203871) Curr Rheumatol Rev. 2018;14(2):181-187. (PMID: 28443512) Pain Manag Nurs. 2021 Dec;22(6):820-827. (PMID: 34261600) Best Pract Res Clin Rheumatol. 2018 Apr;32(2):312-326. (PMID: 30527434) Rev Bras Reumatol Engl Ed. 2017 Mar - Apr;57(2):162-173. (PMID: 28343622) Medicine (Baltimore). 2017 Aug;96(32):e7593. (PMID: 28796042) Ann Phys Rehabil Med. 2016 Dec;59(5-6):333-339. (PMID: 27546496) Inflammation. 2015 Dec;38(6):2235-41. (PMID: 26156811) PLoS One. 2018 Nov 15;13(11):e0207240. (PMID: 30440036) Gait Posture. 2021 Sep;89:139-160. (PMID: 34284334) |
| Grant Information: | 2025-09 Self-selected scientific research projects of the Academic Committee of the Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine (scientific research start-up fund) |
| Contributed Indexing: | Keywords: GEO data mining; key biological process; key genes; key pathways; knee osteoarthritis |
| Entry Date(s): | Date Created: 20251202 Date Completed: 20251202 Latest Revision: 20251205 |
| Update Code: | 20251205 |
| PubMed Central ID: | PMC12662435 |
| DOI: | 10.1097/MD.0000000000046250 |
| PMID: | 41327695 |
| Databáza: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | This study aims to give significant information for the research and treatment of knee osteoarthritis (KOA) targets, using bioinformatics methods to uncover the associated genes of KOA and explore their expression and clinical importance. GEO database was used to analyze differential genes of KOA, R was used to perform pathway enrichment analysis and functional annotation of differential genes, a protein-protein interaction network of differential genes was constructed, core modules of the protein-protein interaction network of relationship targets were screened, and common genes of 2 protein relationships were obtained. After combining, correcting, and screening the GSE51588, GSE55457, and GSE82107 data sets, 488 differential genes and 297 disease intersection targets were identified. The gene ontology study primarily focused on neutrophil activation and neutrophil activation in immunological response. Depending on Kyoto encyclopedia of genes and genomes analysis, signal pathways mostly included MAPK, IL-17, Wnt, TNF, and other information pathways. Biomarkers and treatment targets of KOA are likely to be PPBP, FPR2, PF4, ELANE, ORM1FPR1, PENK, POMC, RETN, ARG1, HIST1H2BB, and HIST1H2BJ. KOA can be treated clinically by regulating the expression of the above targets, activating or inhibiting related signal pathways, anti-inflammation, regulating apoptosis, and lowering oxidative stress.<br /> (Copyright © 2025 the Author(s). Published by Wolters Kluwer Health, Inc.) |
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| ISSN: | 1536-5964 |
| DOI: | 10.1097/MD.0000000000046250 |