scholarly journals Circulating microRNA expression profiling and bioinformatics analysis of patients with coronary artery disease by RNA sequencing

2019 ◽  
Vol 34 (1) ◽  
Author(s):  
Zhixiong Zhong ◽  
Wei Zhong ◽  
Qifeng Zhang ◽  
Qunji Zhang ◽  
Zhikang Yu ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Rna Sequencing ◽  
Expression Profiling ◽  
Bioinformatics Analysis ◽  
Microrna Expression ◽  
Circulating Microrna ◽  
Artery Disease

scholarly journals Circulating microRNA expression profiling and bioinformatics analysis of dysregulated microRNAs of patients with coronary artery disease

Medicine ◽  
2018 ◽  
Vol 97 (27) ◽  
pp. e11428 ◽  
Author(s):  
Zhixiong Zhong ◽  
Jingyuan Hou ◽  
Qifeng Zhang ◽  
Wei Zhong ◽  
Bin Li ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiling ◽  
Bioinformatics Analysis ◽  
Microrna Expression ◽  
Circulating Microrna ◽  
Artery Disease

scholarly journals Association of Circulating microRNAs with Coronary Artery Disease and Usefulness for Reclassification of Healthy Individuals: The REGICOR Study

2020 ◽  
Vol 9 (5) ◽  
pp. 1402 ◽  
Author(s):  
Irene R. Dégano ◽  
Anna Camps-Vilaró ◽  
Isaac Subirana ◽  
Nadia García-Mateo ◽  
Pilar Cidad ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cox Regression ◽  
Low Density Lipoproteins ◽  
Microrna Expression ◽  
Circulating Microrna ◽  
Low Density ◽  
Serum Samples ◽  
Artery Disease ◽  
Cad Risk

Risk prediction tools cannot identify most individuals at high coronary artery disease (CAD) risk. Oxidized low-density lipoproteins (oxLDLs) and microRNAs are actively involved in atherosclerosis. Our aim was to examine the association of CAD and oxLDLs-induced microRNAs, and to assess the microRNAs predictive capacity of future CAD events. Human endothelial and vascular smooth muscle cells were treated with oxidized/native low-density lipoproteins, and microRNA expression was analyzed. Differentially expressed and CAD-related miRNAs were examined in serum samples from (1) a case-control study with 476 myocardial infarction (MI) patients and 487 controls, and (2) a case-cohort study with 105 incident CAD cases and 455 randomly-selected cohort participants. MicroRNA expression was analyzed with custom OpenArray plates, log rank tests and Cox regression models. Twenty-one microRNAs, two previously undescribed (hsa-miR-193b-5p and hsa-miR-1229-5p), were up- or down-regulated upon cell treatment with oxLDLs. One of the 21, hsa-miR-122-5p, was also upregulated in MI cases (fold change = 4.85). Of the 28 CAD-related microRNAs tested, 11 were upregulated in MI cases-1 previously undescribed (hsa-miR-16-5p)-, and 1/11 was also associated with CAD incidence (adjusted hazard ratio = 0.55 (0.35–0.88)) and improved CAD risk reclassification, hsa-miR-143-3p. We identified 2 novel microRNAs modulated by oxLDLs in endothelial cells, 1 novel microRNA upregulated in AMI cases compared to controls, and one circulating microRNA that improved CAD risk classification.

The Analysis of microRNA Expression Profiling for Coronary Artery Disease

Cardiology ◽  
2014 ◽  
Vol 127 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Kefei Li ◽  
Tao Zhang ◽  
Huimin Fan ◽  
Qinchuan Li ◽  
Wulf Ito ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiling ◽  
Microrna Expression ◽  
Artery Disease

scholarly journals Implications of cardiac markers in risk-stratification and management for COVID-19 patients

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Pengping Li ◽  
Wei Wu ◽  
Tingting Zhang ◽  
Ziyu Wang ◽  
Jie Li ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Risk Stratification ◽  
Rna Sequencing ◽  
High Mortality ◽  
Admission Rate ◽  
Serum Levels ◽  
Receptor Expression ◽  
Cardiac Markers ◽  
Artery Disease

Abstract Background COVID-19 has resulted in high mortality worldwide. Information regarding cardiac markers for precise risk-stratification is limited. We aim to discover sensitive and reliable early-warning biomarkers for optimizing management and improving the prognosis of COVID-19 patients. Methods A total of 2954 consecutive COVID-19 patients who were receiving treatment from the Wuhan Huoshenshan Hospital in China from February 4 to April 10 were included in this retrospective cohort. Serum levels of cardiac markers were collected after admission. Coronary artery disease diagnosis and survival status were recorded. Single-cell RNA-sequencing and bulk RNA-sequencing from different cohorts of non-COVID-19 were performed to analyze SARS-CoV-2 receptor expression. Results Among 2954 COVID-19 patients in the analysis, the median age was 60 years (50–68 years), 1461 (49.5%) were female, and 1515 (51.3%) were severe/critical. Compared to mild/moderate (1439, 48.7%) patients, severe/critical patients showed significantly higher levels of cardiac markers within the first week after admission. In severe/critical COVID-19 patients, those with abnormal serum levels of BNP (42 [24.6%] vs 7 [1.1%]), hs-TNI (38 [48.1%] vs 6 [1.0%]), α- HBDH (55 [10.4%] vs 2 [0.2%]), CK-MB (45 [36.3%] vs 12 [0.9%]), and LDH (56 [12.5%] vs 1 [0.1%]) had a significantly higher mortality rate compared to patients with normal levels. The same trend was observed in the ICU admission rate. Severe/critical COVID-19 patients with pre-existing coronary artery disease (165/1,155 [10.9%]) had more cases of BNP (52 [46.5%] vs 119 [16.5%]), hs-TNI (24 [26.7%] vs 9.6 [%], α- HBDH (86 [55.5%] vs 443 [34.4%]), CK-MB (27 [17.4%] vs 97 [7.5%]), and LDH (65 [41.9%] vs 382 [29.7%]), when compared with those without coronary artery disease. There was enhanced SARS-CoV-2 receptor expression in coronary artery disease compared with healthy controls. From regression analysis, patients with five elevated cardiac markers were at a higher risk of death (hazards ratio 3.4 [95% CI 2.4–4.8]). Conclusions COVID-19 patients with pre-existing coronary artery disease represented a higher abnormal percentage of cardiac markers, accompanied by high mortality and ICU admission rate. BNP together with hs-TNI, α- HBDH, CK-MB and LDH act as a prognostic biomarker in COVID-19 patients with or without pre-existing coronary artery disease.

scholarly journals Integrative Bioinformatics Analysis of Genomic and Proteomic Approaches to Understand the Transcriptional Regulatory Program in Coronary Artery Disease Pathways

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e57193 ◽  
Author(s):  
Rajani Kanth Vangala ◽  
Vandana Ravindran ◽  
Madan Ghatge ◽  
Jayashree Shanker ◽  
Prathima Arvind ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Bioinformatics Analysis ◽  
Transcriptional Regulatory ◽  
Regulatory Program ◽  
Artery Disease ◽  
Disease Pathways

scholarly journals Gene expression profiling in whole blood of patients with coronary artery disease

2010 ◽  
Vol 119 (8) ◽  
pp. 335-343 ◽  
Author(s):  
Chiara Taurino ◽  
William H. Miller ◽  
Martin W. McBride ◽  
John D. McClure ◽  
Raya Khanin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Gene Expression Profiling ◽  
Whole Blood ◽  
Expression Profiling ◽  
Gene Expression Analysis ◽  
Differentially Expressed ◽  
Differentially Expressed Mirnas ◽  
Artery Disease

Owing to the dynamic nature of the transcriptome, gene expression profiling is a promising tool for discovery of disease-related genes and biological pathways. In the present study, we examined gene expression in whole blood of 12 patients with CAD (coronary artery disease) and 12 healthy control subjects. Furthermore, ten patients with CAD underwent whole-blood gene expression analysis before and after the completion of a cardiac rehabilitation programme following surgical coronary revascularization. mRNA and miRNA (microRNA) were isolated for expression profiling. Gene expression analysis identified 365 differentially expressed genes in patients with CAD compared with healthy controls (175 up- and 190 down-regulated in CAD), and 645 in CAD rehabilitation patients (196 up- and 449 down-regulated post-rehabilitation). Biological pathway analysis identified a number of canonical pathways, including oxidative phosphorylation and mitochondrial function, as being significantly and consistently modulated across the groups. Analysis of miRNA expression revealed a number of differentially expressed miRNAs, including hsa-miR-140-3p (control compared with CAD, P=0.017), hsa-miR-182 (control compared with CAD, P=0.093), hsa-miR-92a and hsa-miR-92b (post- compared with pre-exercise, P<0.01). Global analysis of predicted miRNA targets found significantly reduced expression of genes with target regions compared with those without: hsa-miR-140-3p (P=0.002), hsa-miR-182 (P=0.001), hsa-miR-92a and hsa-miR-92b (P=2.2×10−16). In conclusion, using whole blood as a ‘surrogate tissue’ in patients with CAD, we have identified differentially expressed miRNAs, differentially regulated genes and modulated pathways which warrant further investigation in the setting of cardiovascular function. This approach may represent a novel non-invasive strategy to unravel potentially modifiable pathways and possible therapeutic targets in cardiovascular disease.

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