Integrative analyses of genetic characteristics associated with skeletal endothelial cells.
Zhanhui WangBowen HuXiaoming ChenZheng ZhangLu LiuNan LiChun LiangPublished in: Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas (2024)
The osseous vascular endothelium encompasses a vast intricate framework that regulates bone remodeling. Osteoporosis, an age-associated systemic bone disease, is characterized by the degeneration of the vascular architecture. Nevertheless, the precise mechanisms underpinning the metamorphosis of endothelial cells (ECs) with advancing age remain predominantly enigmatic. In this study, we conducted a systematic analysis of differentially expressed genes (DEGs) and the associated pathways in juvenile and mature femoral ECs, utilizing data sourced from the Gene Expression Omnibus (GEO) repositories (GSE148804) and employing bioinformatics tools. Through this approach, we successfully discerned six pivotal genes, namely Adamts1, Adamts2, Adamts4, Adamts14, Col5a1, and Col5a2. Subsequently, we constructed a miRNA-mRNA network based on miRNAs displaying differential expression between CD31hiEMCNhi and CD31lowEMCNlow ECs, utilizing online repositories for prediction. The expression of miR-466i-3p and miR-466i-5p in bone marrow ECs exhibited an inverse correlation with age. Our in vivo experiments additionally unveiled miR-466i-5p as a pivotal regulator in osseous ECs and a promising therapeutic target for age-related osteoporosis.
Keyphrases
- bone mineral density
- endothelial cells
- cell proliferation
- long non coding rna
- gene expression
- postmenopausal women
- poor prognosis
- bone marrow
- long noncoding rna
- genome wide
- bioinformatics analysis
- dna methylation
- high glucose
- body composition
- mesenchymal stem cells
- nitric oxide
- healthcare
- network analysis
- electronic health record
- machine learning
- big data
- copy number
- bone regeneration
- deep learning
- african american