首页|Weifang People’s Hospital Reports Findings in Collagen Diseases and Conditions ( The diagnostic value and associated molecular mechanism study for fibroblast-rel ated mitochondrial genes on keloid)
Weifang People’s Hospital Reports Findings in Collagen Diseases and Conditions ( The diagnostic value and associated molecular mechanism study for fibroblast-rel ated mitochondrial genes on keloid)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Connective Tissue Dise ases and Conditions - Collagen Diseases and Conditions is the subject of a repor t. According to news reporting from Shandong, People’s Republic of China, by New sRx journalists, research stated, “This study aims to reveal the mechanism of fi broblastrelated mitochondrial genes on keloid formation and explore promising s ignature genes for keloid diagnosis. The distribution of fibroblasts between the keloid sample and control sample based on three keloid datasets, followed by th e differentially expressed genes (DEGs) investigation and associated enrichment analysis.” The news correspondents obtained a quote from the research from Weifang People’s Hospital, “Then, hub genes were explored based on DEGs, mitochondrial genes fro m an online database, as well as fibroblastrelated genes that were revealed by WCGNA. Subsequently, signature genes were screened through machine learning, and their diagnostic value was validated by nomogram. Moreover, the targeted drugs and related transcriptional regulation of these genes were analyzed. Finally, th e verification analysis was performed on signature genes using qPCR analysis. A total of totally 329 DEGs were revealed based on three datasets, followed by enr ichment analysis. WGCNA revealed a total of 258 fibroblast-related genes, which were primarily assembled in functions like muscle tissue development. By using m achine learning, we screened four signature genes (ACSF2, ALDH1B1, OCIAD2, and S IRT4) based on eight hub genes (fibroblast-related mitochondrial genes). Nomogra m and validation analyses confirmed the well-diagnostic performance of these fou r genes in keloid. Immune infiltration and drug correlation analyses showed that SIRT4 was significantly associated with immune cell type 2 T helper cells and m olecular drug cyclosporin. All these findings provided new perspectives for the clinical diagnosis and therapy of keloid.”
ShandongPeople’s Republic of ChinaAs iaCollagen Diseases and ConditionsConnective Tissue CellsConnective Tissue Diseases and ConditionsCyborgsEmerging TechnologiesFibroblastsGeneticsHealth and MedicineKeloidsKeloids Health and MedicineMachine Learning
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