AI Article Synopsis
- The study investigates mRNA expression in human thoracic aortic dissection (TAD) using mRNA microarray analysis and real-time PCR to identify critical genes involved in its pathogenesis.
- The top hub genes found include CDK1, CDC20, and others linked to cell cycle regulation and specific signaling pathways, indicating their potential involvement in TAD progression.
- CDK1, in particular, shows promise as both a diagnostic biomarker and a therapeutic target for TAD due to its increased expression in affected tissues.
Article Abstract
Background: To assess the mRNA expression profile and explore the hub mRNAs and potential molecular mechanisms in the pathogenesis of human thoracic aortic dissection (TAD).
Methodology: mRNA microarray expression signatures of TAD tissues (n = 6) and non-TAD tissues (NT; n = 6) were analyzed by an Arraystar human mRNA microarray. Real-time PCR (qRT-PCR) was used to validate the results of the mRNA microarray. Bioinformatic tools, including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, were utilized. Protein-protein interaction (PPI) networks were constructed based on data from the STRING database. Molecular Complex Detection (MCODE) and cytoHubba analyses were used to predict the strongest hub gene and pathway.
Results: The top 10 hub genes were CDK1, CDC20, CCNB2, CCNB1, MAD2L1, AURKA, C3AR1, NCAPG, CXCL12 and ASPM, which were identified from the PPI network. Module analysis revealed that TAD was associated with the cell cycle, oocyte meiosis, the p53 signaling pathway, and progesterone-mediated oocyte maturation. The qRT-PCR results showed that the expression of all hub genes was significantly increased in TAD samples (p < 0.05). Immunostaining of Ki-67 and CDK1 showed a high proliferation state and high expression in TAD, respectively.
Conclusions: CDK1 could be used as a potential diagnostic biomarker and therapeutic target of TAD.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6872142 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0224922 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Identification of amino acid metabolism‑related genes as diagnostic and prognostic biomarkers in sepsis through machine learning.
Exp Ther Med
February 2025
Department of Emergency, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning, Hubei 437199, P.R. China.
Previous research has highlighted the critical role of amino acid metabolism (AAM) in the pathophysiology of sepsis. The present study aimed to explore the potential diagnostic and prognostic value of AAM-related genes (AAMGs) in sepsis, as well as their underlying molecular mechanisms. Gene expression profiles from the Gene Expression Omnibus (GSE65682, GSE185263 and GSE154918 datasets) were analyzed.
View Article and Find Full Text PDFElucidating the molecular association and potential mechanisms between psoriasis and atrial fibrillation through biomarker and immune infiltration analysis.
Arch Dermatol Res
January 2025
Jiangxi Medical College, Nanchang University, Nanchang, China.
Multiple studies have suggested that psoriasis may increase the risk of atrial fibrillation (AF). However, the molecular and immune mechanisms underlying this association remain unclear. This study initially downloaded gene expression profiles for psoriasis and AF from the Gene Expression Omnibus database.
View Article and Find Full Text PDFA Novel Disulfidptosis-Related Risk Signature for Prognostic Prediction in Patients With Ewing Sarcoma.
J Orthop Res
January 2025
Department of East Hospital Orthopaedic Trauma, Zibo Central Hospital, Zibo, China.
Ewing sarcoma (ES) is a malignant bone tumor prevalent among children and adolescents. Disulfidptosis represents a novel form of cell death; however, the mechanism of disulfidptosis in ES remains unclear. Our aim is to explore the disulfidptosis-related prognostic signature in ES.
View Article and Find Full Text PDFIdentification of markers correlating with mitochondrial function in myocardial infarction by bioinformatics.
PLoS One
December 2024
Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Myocardial infarction (MI), one of the most serious cardiovascular diseases, is also affected by altered mitochondrial metabolism and immune status, but their crosstalk is poorly understood. In this paper, we use bioinformatics to explore key targets associated with mitochondrial metabolic function in MI.
Methods: The datasets (GSE775, GSE183272 and GSE236374) were from National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) in conjunction with mitochondrial gene data that were downloaded from the MitoCarta 3.
Identifying Biomarkers for Atherosclerosis via Gene Expression and Biological Networking.
Curr Cardiol Rev
January 2025
School of Paramedics and Allied Health Sciences, Centurion University of Technology and Management, Bhubaneswar, Odisha, India.
Background: Atherosclerosis is a chronic disease caused by the accumulation of lipids, inflammatory cells, and fibrous elements in arterial walls, leading to plaque formation and cardiovascular conditions like coronary artery disease, stroke, and peripheral arterial disease. Factors like hyperlipidemia, hypertension, smoking, and diabetes contribute to its development. Diagnosis relies on imaging and biomarkers, while management includes lifestyle modifications, pharmacotherapy, and surgical interventions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!