Background: Muscle atrophy is a typical affliction in patients affected by knee Osteoarthritis (KOA). This study aimed to examine the potential pathogenesis and biomarkers that coalesce to induce muscle atrophy, primarily through the utilization of bioinformatics analysis.
Methods: Two distinct public datasets of osteoarthritis and muscle atrophy (GSE82107 and GSE205431) were subjected to differential gene expression analysis and gene set enrichment analysis (GSEA) to probe for common differentially expressed genes (DEGs) and conduct transcription factor (TF) enrichment analysis from such genes. Venn diagrams were used to identify the target TF, followed by the construction of a protein-protein interaction (PPI) network of the common DEGs governed by the target TF. Hub genes were determined through the CytoHubba plug-in whilst their biological functions were assessed using GSEA analysis in the GTEx database. To validate the study, reverse transcriptase real-time quantitative polymerase chain reaction (qRT-PCR), enzyme-linked immunosorbent assay (ELISA), and Flow Cytometry techniques were employed.
Results: A total of 138 common DEGs of osteoarthritis and muscle atrophy were identified, with 16 TFs exhibiting notable expression patterns in both datasets. Venn diagram analysis identified early growth response gene-1 (EGR1) as the target TF, enriched in critical pathways such as epithelial mesenchymal transition, tumor necrosis factor-alpha signaling NF-κB, and inflammatory response. PPI analysis revealed five hub genes, including EGR1, FOS, FOSB, KLF2, and JUNB. The reliability of EGR1 was confirmed by validation testing, corroborating bioinformatics analysis trends.
Conclusions: EGR1, FOS, FOSB, KLF2, and JUNB are intricately involved in muscle atrophy development. High EGR1 expression directly regulated these hub genes, significantly influencing postoperative muscle atrophy progression in KOA patients.
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http://dx.doi.org/10.1186/s13018-024-05109-9 | DOI Listing |
BMC Public Health
January 2025
Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, Anhui, 230601, China.
Background: To explore the knowledge, attitudes, and practice (KAP) toward sarcopenia among maintenance dialysis (MHD) patients in Anhui.
Methods: This multicenter cross-sectional study was conducted in November 2022 among MHD patients in the Anhui Province, China. A self-administered questionnaire was used to collect their demographic characteristics and KAP toward sarcopenia.
BMC Nephrol
January 2025
Department of Nephrology, Zhabei Central Hospital of Jing'an District, No. 619 Zhonghua New Road, Shanghai, 20070, China.
Background: Osteoporosis and sarcopenia frequently occur in patients with end-stage renal disease undergoing hemodialysis (HD), and depression is also a common mental health issue in this population. Despite the prevalence of these conditions, the interrelationships among them remain poorly understood in HD patients.
Methods: In this multicenter cross-sectional study, 858 HD patients from 7 dialysis centers were recruited.
BMJ Case Rep
January 2025
Neurosurgery, Fu Jen Catholic University Hospital, New Taipei City, Taiwan
Cervical fracture dislocation often leads to neurological deficits, manifesting with sensory and motor symptoms, which may persist even after surgical intervention. We presented two cases with mild neurological deficits following such injuries. In Case 1, the patient presented with left-hand numbness 1 month after a car accident.
View Article and Find Full Text PDFJ Nutr
January 2025
Department of Human Physiology of the Chair of Preclinical Sciences, Medical University in Lublin, Lublin, Poland.
Background: Systemic inflammation plays a crucial role in the development and progression of chronic heart failure (CHF) across all phenotypes. The continuous release of pro-inflammatory cytokines causes muscle atrophy and adipocyte breakdown, ultimately resulting in cachexia. Long non-coding RNAs (lncRNAs) are emerging as potential biomarkers associated with cachexia, as they indirectly regulate muscle and fat tissue metabolism.
View Article and Find Full Text PDFBrain Dev
January 2025
Department of Pediatrics, Aichi Medical University School of Medicine, Nagakute, Japan.
Background: Most cases of spinal muscular atrophy (SMA) can be diagnosed by copy number analysis of survival motor neuron (SMN) 1. However, a small number of cases of SMA can only be diagnosed by sequencing analysis. We present a case of SMA diagnosed 7 years after the onset of symptoms.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!