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1.
Comput Math Methods Med ; 2022: 9043300, 2022.
Article in English | MEDLINE | ID: mdl-35785145

ABSTRACT

Background: Knee osteoarthritis (KOA) is a common degenerative joint disease. In this study, we aimed to identify new biomarkers of KOA to improve the accuracy of diagnosis and treatment. Methods: GSE98918 and GSE51588 were downloaded from the Gene Expression Omnibus database as training sets, with a total of 74 samples. Gene differences were analyzed by Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway, and Disease Ontology enrichment analyses for the differentially expressed genes (DEGs), and GSEA enrichment analysis was carried out for the training gene set. Through least absolute shrinkage and selection operator regression analysis, the support vector machine recursive feature elimination algorithm, and gene expression screening, the range of DEGs was further reduced. Immune infiltration analysis was carried out, and the prediction results of the combined biomarker logistic regression model were verified with GSE55457. Results: In total, 84 DEGs were identified through differential gene expression analysis. The five biomarkers that were screened further showed significant differences in cartilage, subchondral bone, and synovial tissue. The diagnostic accuracy of the model synthesized using five biomarkers through logistic regression was better than that of a single biomarker and significantly better than that of a single clinical trait. Conclusions: CX3CR1, SLC7A5, ARL4C, TLR7, and MTHFD2 might be used as novel biomarkers to improve the accuracy of KOA disease diagnosis, monitor disease progression, and improve the efficacy of clinical treatment.


Subject(s)
Osteoarthritis, Knee , ADP-Ribosylation Factors/genetics , ADP-Ribosylation Factors/metabolism , Biomarkers/metabolism , Gene Expression Profiling/methods , Gene Regulatory Networks , Humans , Osteoarthritis, Knee/diagnosis , Osteoarthritis, Knee/genetics , Support Vector Machine
2.
Article in English | MEDLINE | ID: mdl-35449821

ABSTRACT

Objectives: To conduct a comprehensive analysis of scientific outputs in 2011-2021 regarding the rehabilitative effects of acupuncture on diseases. Methods: The study was conducted in the form of knowledge graph and data visualization, with data being drawn from the Web of Science Core Collection database. Results: Articles and reviews were the dominant types; China, Guangzhou University of Chinese Medicine and Medicine ranked was the active country, institution, and journal, respectively, in terms of issued articles. Systematic reviews and the meta-analyses of stroke and pain were extensively carried out in the past decade, whose principal interventions were manual acupuncture, electroacupuncture, scalp acupuncture, and dry needling correspondingly at Baihui (DU20) and Zusanli (ST36). And most frequently utilized rehabilitation assessment criteria were the Fugl-Meyer Assessment Scale and the Barthel Index. More recently, motor function and chronic obstructive pulmonary disease have captured researchers' attention, which might be the futuristic frontier. Conclusions: This article provided a relatively panoramic picture of the scientific outputs in acupuncture for disease rehabilitation, which may help readers embrace the heated topic and grasp the recent research focus on this field.

3.
Medicine (Baltimore) ; 100(3): e24413, 2021 Jan 22.
Article in English | MEDLINE | ID: mdl-33546087

ABSTRACT

BACKGROUND: As a classic prescription for treating knee osteoarthritis, Du-Huo-Ji-Sheng-decoction has been widely recognized for its clinical efficacy. The purpose of this systematic review and meta-analysis is to evaluate the effectiveness and safety of Du-Huo-Ji-Sheng-decoction in the treatment of knee osteoarthritis. METHODS: The following databases will be searched from January 2011 to December 2020: PubMed, Embase, Web of Science, Cochrane Library, Chinese Biomedical Medical Database, China National Knowledge Infrastructure, Chinese Science and Technology Periodical Database, and Wanfang Database. Statistical analysis will be processed by RevMan V.5.3 software. RESULTS: This study will provide an assessment of the current state of DHJSD in the treatment of KOA, aiming to show the efficacy and safety of DHJSD. CONCLUSION: This study will provide evidence to judge whether DHJSD is an effective intervention for KOA.


Subject(s)
Clinical Protocols , Drugs, Chinese Herbal/therapeutic use , Osteoarthritis, Knee/drug therapy , Drugs, Chinese Herbal/adverse effects , Drugs, Chinese Herbal/standards , Humans , Meta-Analysis as Topic , Systematic Reviews as Topic
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