Biological and clinical implications of TNF-α promoter and CYP1B1 gene variations in Coronary Artery Disease susceptibility

Study on Potential Differentially Expressed Genes in Idiopathic Pulmonary Fibrosis by Bioinformatics and Next-Generation Sequencing Data Analysis

Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease with reduced quality of life and earlier mortality, but its pathogenesis and key genes are still unclear. In this investigation, bioinformatics was used to deeply analyze the pathogenesis of IPF and related key genes, so as to investigate the potential molecular pathogenesis of IPF and provide guidance for clinical treatment. Next-generation sequencing dataset GSE213001 was obtained from Gene Expression Omnibus (GEO), and the differentially expressed genes (DEGs) were identified between IPF and normal control group. The DEGs between IPF and normal control group were screened with the DESeq2 package of R language. The Gene Ontology (GO) and REACTOME pathway enrichment analyses of the DEGs were performed. Using the g:Profiler, the function and pathway enrichment analyses of DEGs were performed. Then, a protein-protein interaction (PPI) network was constructed via the Integrated Interactions Database (IID) database. Cytoscape with Network Analyzer was used to identify the hub genes. miRNet and NetworkAnalyst databaseswereused to construct the targeted microRNAs (miRNAs), transcription factors (TFs), and small drug molecules. Finally, receiver operating characteristic (ROC) curve analysis was used to validate the hub genes. A total of 958 DEGs were screened out in this study, including 479 up regulated genes and 479 down regulated genes. Most of the DEGs were significantly enriched in response to stimulus, GPCR ligand binding, microtubule-based process, and defective GALNT3 causes HFTC. In combination with the results of the PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network, hub genes including LRRK2, BMI1, EBP, MNDA, KBTBD7, KRT15, OTX1, TEKT4, SPAG8, and EFHC2 were selected. Cyclothiazide and rotigotinethe are predicted small drug molecules for IPF treatment. Our findings will contribute to identification of potential biomarkers and novel strategies for the treatment of IPF, and provide a novel strategy for clinical therapy.

Salvia miltiorrhiza and Tanshinone IIA reduce endothelial inflammation and atherosclerotic plaque formation through inhibiting COX-2

The mechanisms of Salvia miltiorrhiza (SM) and Tanshinone IIA (Tan IIA) in the treatment of atherosclerosis was examined by combining network pharmacology and molecular biology experiments. The TCMSP and BATMAN-TCM databases provided 104 SM candidate ingredients and 813 target genes, while GEO and GeneCards databases identified 35 overlapping targets between SM and coronary artery disease (CAD). From these data, we constructed a CAD-target-active ingredient network, and using Gene Ontology (GO) and KEGG pathway analysis, 211 GO terms and 43 pathways were identified, which facilitated the construction of a key active ingredient-target-pathway network. We then constructed a protein-protein interaction (PPI) network and performed molecular docking simulations between Tan IIA and 10 key target proteins to analyze the interactions between the molecule and the protein. SM was found to alleviate CAD by reducing the expression of key pro-inflammatory factors, such as COX-2 (PTGS2), MMP9, ICAM1, TNF-α, and NF-κB. Tan IIA was identified as the primary effective component of SM in treating CAD, with TNF and PTGS2 being its main targets. We further validated these findings using in vitro/in vivo experiments. The results showed that both SM and Tan IIA attenuated the buildup of plaque and the accumulation of lipids in ApoE-/- mice. In addition, SM and Tan IIA reduced vascular inflammatory factors expression in ApoE-/- mice and ox-LDL-cultured HUVECs. Furthermore, our findings showed that Tan IIA reduced vascular endothelial inflammation and prevented plaque formation via COX-2/TNF-a/NF-κB signaling pathway. We have demonstrated for the first time that Tan IIA plays a vital role in attenuating atherosclerosis by downregulating COX-2 expression.

The future Landscape of macrophage research in cardiovascular disease: a bibliometric analysis

Cardiovascular disease (CVD) refers to a group of diseases involving the heart or blood vessels and is currently the leading cause of morbidity and mortality in many countries around the world and poses a serious economic burden. Macrophages are key effectors of inflammatory and innate immune responses, and their aberrant expression contributes to the development of various types of CVD.This study retrieved articles published from 1990-2022 on macrophages in CVD from the Web of Science core collection, based on CiteSpace and VOSviewer on these literature The annual output, countries and regions, institutions, authors, core journals, keywords and co-cited literature were analyzed. A total of 7,197 articles and reviews were retrieved, with a general upward trend despite slight fluctuations in annual publications. Europe, the United States and Asia are the main countries and regions publishing articles, especially the United States, with the highest number of articles (2,581), citations (173,692) and H-index (197), which also has the world's largest number of elite institutions, professional The country also has the world's largest number of elite institutions, professional researchers and high-impact journals, and is the leading country in this field of research. Keywords "inflammation", "immunology", "autophagy", "lipid-peroxidation" are the main pathogenesis of CVD caused by macrophages. "NLRP3", "nf kappa b" and "TNF-α" are the most frequently studied signalling pathways. Atherosclerosis, myocarditis and myocardial injury are the most studied disease types in this field. In addition, the study of macrophage-related CVD induced by COVID-19 seems to be a recent hot topic, and the mechanisms involved are mainly macrophage polarization, inflammatory factor storm, ACE2 and so on. The present study reveals hot spots and new trends in research on macrophages in CVD, which can provide scholars with key information in this field of research and help further explore new research directions.

Association of Leu432Val (rs1056836) polymorphism of the CYP1B1 gene with lipid profile in hypertensive Slovak women

Leu432Val (rs1056836) polymorphism of the CYP1B1 gene was examined in relationship with lipid profile in hypertensive Slovak women according to their menopausal status. The entire study sample comprised 255 women suffering from hypertension aged from 39 to 65 years who were recruited from different localities in the western, southern, and middle parts of Slovakia. The participants provided a saliva or blood sample for DNA genotyping and a blood sample for biochemical analysis. The Leu432Val genotypes demonstrated statistically significant associations with all monitored atherogenic indices – total cholesterol-to-HDL-Cholesterol (AI1), Non-HDL-Cholesterol (AI2), LDL-Cholesterol-to-HDL-Cholesterol (AI3), and the logarithm of the ratio of plasma concentration of triglycerides to HDL-cholesterol (AIP log) in hypertensive pre/perimenopausal women. The mean values were significantly lower in women carrying the Val/Val genotype. In early postmenopausal hypertensive women the Leu432Val genotypes were statistically significant and associated with LDL-cholesterol (LDL-C) and AI2. The mean values of LDL-C and AI2 were significantly lower in women carrying the Leu/Leu genotype. In conclusion, the Leu432Val polymorphism may be associated with the atherogenic indices and LDL-C in hypertensive women.

The Impact of the Coronavirus (COVID-19) Infection on the Drug-Metabolizing Enzymes Cytochrome P450s

Coronaviruses cause disease in human and animals. In 2019 a novel coronavirus was first characterized in Wuhan, China. It causes acute respiratory disease and designated the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or COVID-19. The COVID-19 spread to all cities of China, and in 2020 to the whole world. Patients with COVID-19 may recover without medical treatment. However, some patients need medical care. The Cytochrome p450s (CYP450s) are large superfamily of enzymes catalyze the metabolism of endogenous substrates and xenobiotics. CYP450s catalyze the biotransformation of 80% of the drug in clinical use. The CYP450 present in liver, lungs, intestine and other tissues. COVID-19 has been reported to decrease the activity of certain isoforms of CYP450s in an isoform specific manner. Furthermore, the COVID-19 infection decreases the liver functions including the drug clearance or detoxification medicated by the CYP450s. The healthcare providers should be aware of this disease-drug interaction when prescribing drugs for treatment of COVID-19 and other comorbidities.