Background: Cardiovascular diseases, such as aortic valve calcification (AVC) and carotid atherosclerosis (CAS), impose substantial health challenges on a global scale. Both disorders have overlapping risk factors, which might trigger similar immune-inflammatory reactions in both diseases.
Methods: Shared differentially expressed genes (DEGs) were identified in the AVC and CAS datasets from the Gene Expression Omnibus (GEO).
Background: Ischemic cardiomyopathy (ICM) induced heart failure (HF) is one of the most common causes of death worldwide. This study aimed to find candidate genes for ICM-HF and to identify relevant biomarkers by machine learning (ML).
Methods: The expression data of ICM-HF and normal samples were downloaded from Gene Expression Omnibus (GEO) database.
Over the years, bioinformatics tools have been used to identify functional genes. In the present study, bioinformatics analyses were conducted to explore the underlying molecular mechanisms of angiogenic factors in calcific aortic valve disease (CAVD). The raw gene expression profiles were from datasets GSE153555, GSE83453, and GSE51472, and the angiogenesis-related gene set was from the Gene Set Enrichment Analysis database (GSEA).
View Article and Find Full Text PDFNeurogenesis and angiogenesis can improve the neurologic function after intracerebral hemorrhage (ICH). Leukemia inhibitory factor (LIF) plays an important role in neurogenesis and angiogenesis. In this study, a rat model of autologous blood-induced ICH was used to evaluate the effect of LIF on the neurogenesis and angiogenesis following ICH.
View Article and Find Full Text PDFPoly (propylene carbonate, PPC) is a new member of the aliphatic polyester family. An outstanding feature of PPC is that it produces mainly water and carbon dioxide when degraded in vivo, causing minimal side effects. This unique property together with excellent biocompatibility and biodegradability makes PPC a promising material for drug delivery.
View Article and Find Full Text PDFJ Huazhong Univ Sci Technolog Med Sci
October 2017
Genetic mutations are important molecular biomarkers for cancer diagnosis and surveillance. Therefore, the development of methods for mutation detection characterized with straightforward, highly specific and sensitive to low-level mutations within various sequence contexts is extremely needed. Although some of the currently available methods have shown very encouraging results, their discrimination efficiency is still very low.
View Article and Find Full Text PDFBackground: Bacterial lipopolysaccharide (LPS) can activate immunological cells to secrete various proinflammatory cytokines involved in the pathophysiological process of disseminated intravascular coagulation (DIC) during infection. In recent years, it has been found that bone marrow-derived mesenchymal stem cells (BMSCs) can affect the activity of these immune cells and regulate the secretion of proinflammatory cytokines. Here, we report the possible protective effect of BMSCs pre-treatment in LPS-induced DIC rat model and the mechanism.
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