[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127933-en":3,"doc-seo-127933-105":30,"detail-sidebar-cat-0-en-105":96},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},127933,687207024478,"Liam","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Identification of ZNF652 as a Diagnostic and Therapeutic Target in Osteoarthritis Using Machine Learning - Journal Article","Osteoarthritis (OA) is a common degenerative joint disease with largely unclear etiology. This study uses transcriptome data from GEO to identify differentially expressed genes through three machine-learning methods, then evaluates diagnostic performance using ROC analysis. A competitive endogenous RNA (ceRNA) network supports exploration of regulatory targets. ZNF652 is experimentally validated in OA rat cartilage by qRT-PCR and Western blotting. Results indicate ZNF652 as a key DEG with high diagnostic value and links to immune, macrophage, nitric oxide anabolism, and PI3K/Akt and MAPK pathways, suggesting diagnostic and therapeutic potential.","Journal of Inflammation Research downloaded from [https://www.dovepress.com/](https://www.dovepress.com/)  \nFor personal use only.  \nJournal of Inflammation Research Dovepress  \n Open Access Full Text Article ORIGINAL RESEARCH  \nIdentification of ZNF652 as a Diagnostic and Therapeutic Target in Osteoarthritis Using Machine Learning  \nYeping Chen 1 , *, Rongyuan Liang 1 , *, Xifan Zheng 1 , *, Dalang Fang2 , William W Lu 3 , Yan Chen 1  \n1Department of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China; 2Department of Thyroid and Breast Surgery, Affiliated Hospital of Youjiang Medical College of Nationalities, Baise, Guangxi, People’s Republic of China; 3Department of Orthopedics and Traumatology, The University of Hong Kong, Hong Kong, People’s Republic of China  \n*These authors contributed equally to this work  \nCorrespondence: Yan Chen, Department of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China, Email cy003@connect.hku.hk  \n\n| Purpose: Osteoarthritis (OA) is the most common degenerative joint disease. However, its etiology remains largely unknown. Zinc Finger Protein 652 (ZNF652) is a transcription factor implicated in various biological processes. Nevertheless, its role in OA has not been elucidated.\u003Cbr>Methods: The search term “osteoarthritis” was utilized to procure transcriptome data relating to OA patients and healthy people from the Gene Expression Omnibus (GEO) database. Then a screening process was initiated to identify differentially expressed genes (DEGs) . The DEGs were discerned using three distinct machine learning methods. The accuracy of these DEGs in diagnosing OA was evaluated using the Receiver Operating Characteristic (ROC) Curve. A competitive endogenous RNA (ceRNA) visualization network was established to delve into potential regulatory targets. The ZNF652 expression was confirmed in the cartilage of OA rats using quantitative reverse transcription polymerase chain reaction (qRT-PCR) and Western blotting (WB) and analyzed using an independent t-test.\u003Cbr>Results: ZNF652 was identified as a DEG and exhibited the highest diagnostic value for OA according to the ROC analysis. The GO and KEGG enrichment analyses suggest that ZNF652 plays a vital role in OA development through processes including nitric oxide anabolism, macrophage proliferation, immune response, and the PI3K/Akt and the MAPK signaling pathways. The increased expression of ZNF652 in OA was validated in qRT-PCR (1.193 ± 0.005 vs 1.000 ± 0.005, p \u003C 0.001) and WB (0.981 ± 0.055 vs 0.856 ± 0.026, p = 0.012) analysis.\u003Cbr>Conclusion: ZNF652 was found to be related to OA pathogenesis and can potentially serve as a diagnostic and therapeutic target of OA. The underlying mechanism is that ZNF652 was related to nitric oxide anabolism, macrophage proliferation, various signaling pathways, and immune cells and their functions in OA. Nevertheless, the findings need to be confirmed in clinical trials and the molecular mechanism requires further study.\u003Cbr>Keywords: osteoarthritis, zinc finger protein 652, machine learning algorithms, immune cell |\n| --- |\n| Introduction\u003Cbr>Osteoarthritis (OA) is the most common degenerative joint disease that significantly affects individuals worldwide, leading to considerable economic and property losses.1,2 OA is characterized by cartilage degeneration, joint pain, stiffness, and functional disabilities. Commonly recognized factors contributing to OA include aging, trauma, hormones, genetics, and mechanical damage to the joints.3–5 Currently, there is no effective disease-modifying medications have been identified for OA. Medications are primarily aimed at relieving symptoms in mild-to-moderate OA.6–8 While in severe OA, medications offer only short-term benefits in pain and function, necessitating joint replacement surgery asa therapeutic option.9, 10 |\n\nReceive","cbCaitKFlBSVsvKI","https://ap.wps.com/l/cbCaitKFlBSVsvKI","pdf",18901663,1,21,"English","en",105,"# Purpose\n# Methods\n## Data mining and machine learning\n## Diagnostic evaluation and ceRNA network\n## Experimental validation\n# Results\n## Diagnostic value and DEG identification\n## Functional enrichment and signaling pathways\n## Validation by qRT-PCR and Western blot\n# Conclusion\n# Introduction","[{\"question\":\"What is the main objective of the study on ZNF652 in osteoarthritis?\",\"answer\":\"To determine whether ZNF652 is involved in osteoarthritis and whether it can serve as a diagnostic and therapeutic target.\"},{\"question\":\"How were candidate genes identified using machine learning?\",\"answer\":\"Transcriptome datasets were obtained from GEO, then differentially expressed genes were screened using three machine-learning methods.\"},{\"question\":\"How was the diagnostic ability of ZNF652 assessed?\",\"answer\":\"ROC curve analysis was used to evaluate the accuracy of the identified differentially expressed genes for diagnosing OA, with ZNF652 showing the highest diagnostic value.\"},{\"question\":\"What experimental evidence supports the role of ZNF652 in OA?\",\"answer\":\"ZNF652 expression in OA rat cartilage was confirmed using qRT-PCR and Western blotting, with significantly higher levels in OA compared with controls.\"}]","Identification of ZNF652 as a Diagnostic and Therapeutic Target in Osteoarthritis Using Machine Learning - Journal Article | PDF",1785943072,53,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":91,"head_meta":93,"extra_data":95,"updated_unix":28},"identification-of-znf652-as-a-diagnostic-and-therapeutic-target-in-osteoarthritis-using-machine-learning-journal-article","",{"@graph":36,"@context":90},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/identification-of-znf652-as-a-diagnostic-and-therapeutic-target-in-osteoarthritis-using-machine-learning-journal-article/127933/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-23","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82,86],{"name":73,"@type":74,"acceptedAnswer":75},"What is the main objective of the study on ZNF652 in osteoarthritis?","Question",{"text":76,"@type":77},"To determine whether ZNF652 is involved in osteoarthritis and whether it can serve as a diagnostic and therapeutic target.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How were candidate genes identified using machine learning?",{"text":81,"@type":77},"Transcriptome datasets were obtained from GEO, then differentially expressed genes were screened using three machine-learning methods.",{"name":83,"@type":74,"acceptedAnswer":84},"How was the diagnostic ability of ZNF652 assessed?",{"text":85,"@type":77},"ROC curve analysis was used to evaluate the accuracy of the identified differentially expressed genes for diagnosing OA, with ZNF652 showing the highest diagnostic value.",{"name":87,"@type":74,"acceptedAnswer":88},"What experimental evidence supports the role of ZNF652 in OA?",{"text":89,"@type":77},"ZNF652 expression in OA rat cartilage was confirmed using qRT-PCR and Western blotting, with significantly higher levels in OA compared with controls.","https://schema.org",{"og:url":52,"og:type":92,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":94,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":97},[98,102,106,110,115,120,125,128,133,136,140],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},"Exam",70,"exam",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},5,"Comic",60,"comic",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},6,"Technology",50,"technology",{"id":121,"doc_module":4,"doc_module_name":46,"category_name":122,"show_sort_weight":123,"slug":124},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":126,"slug":127},30,"research-report",{"id":129,"doc_module":4,"doc_module_name":46,"category_name":130,"show_sort_weight":131,"slug":132},9,"Religion & Spirituality",20,"religion-spirituality",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":134,"show_sort_weight":131,"slug":135},"World Cup","world-cup",{"id":137,"doc_module":4,"doc_module_name":46,"category_name":138,"show_sort_weight":137,"slug":139},10,"Lifestyle","lifestyle",{"id":141,"doc_module":4,"doc_module_name":46,"category_name":142,"show_sort_weight":111,"slug":143},19,"General","general"]