Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients.
ABSTRACT: This article contains further data and information from our published manuscript . We aim to identify significant transcriptome alterations of vascular smooth muscle cells (VSMCs) in the aortic wall of myocardial infarction (MI) patients. Microarray gene analysis was applied to evaluate VSMCs of MI and non-MI patients. Prediction Analysis of Microarray (PAM) identified genes that significantly discriminated the two groups of samples. Incorporation of gene ontology (GO) identified a VSMCs-associated classifier that discriminated between the two groups of samples. Mass spectrometry-based iTRAQ analysis revealed proteins significantly differentiating these two groups of samples. Ingenuity Pathway Analysis (IPA) revealed top pathways associated with hypoxia signaling in cardiovascular system. Enrichment analysis of these proteins suggested an activated pathway, and an integrated transcriptome-proteome pathway analysis revealed that it is the most implicated pathway. The intersection of the top candidate molecules from the transcriptome and proteome highlighted overexpression.
Project description:Vascular smooth muscle cells (VSMCs) in the arterial wall have diverse functions. In pathological states, the interplay between transcripts and microRNAs (miRNAs) leads to phenotypic changes. Understanding the regulatory role of miRNAs and their target genes may reveal how VSMCs modulate the pathogenesis of coronary artery disease. Laser capture microdissection was performed on aortic wall tissues obtained from coronary artery bypass graft patients with and without recent acute myocardial infarction (MI). The mSMRT-qPCR miRNA assay platform (MiRXES, Singapore) was used to profile miRNA. The miRNA data were co-analyzed with significant mRNA transcripts. TargetScan 7.1 was applied to evaluate miRNA-mRNA interactions. The miRNA profiles of 29 patients (16 MI and 13 non-MI) were evaluated. Thirteen VSMC-related miRNAs were differentially expressed between the MI and non-MI groups. Analysis revealed seven miRNA-targeted mRNAs related to muscular tissue differentiation and proliferation. TargetScan revealed that among the VSMC-related transcripts, MBNL1 had a recognition site that matched the hsa-miR-30b-5p target seed sequence. In addition to predicted analysis, our experiment in vitro with human VSMC culture confirmed that hsa-miR-30b-5p negatively correlated with MBNL1. Our data showed that overexpression of hsa-miR-30b-5p led to downregulation of MBNL1 in VSMCs. This process influences VSMC proliferation and might be involved in VSMC differentiation.
Project description:Myocardial infarction (MI), the most severe manifestation of coronary artery disease, is a multifactorial pathophysiologic process. Here, we constructed a MI mouse model through ligation of the proximal left anterior descending coronary artery. Then we detected and analysed multi-omics (transcriptome and proteome) at different time points (Control, 10 mininte, 1 hour, 6 hour, 24 hour and 72 hour) after MI. Immune-related pathway, pyroptosis pathway, and autophagy pathway r were significantly increased after MI. Overall design: RNA-seq analysis of mouse myocardial infarction at different time points (Control, 10 mininte, 1 hour, 6 hour, 24 hour and 72 hour) after MI.
Project description:Although the application of cardioprotective ischaemia/reperfusion (I/R) stimuli after myocardial infarction (MI) is a promising concept for salvaging the myocardium, translation to a clinical scenario has not fulfilled expectations. We have previously shown that in pigs, ischaemic postconditioning (IPostC) reduces myocardial oedema and microvascular obstruction (MVO), without influencing myocardial infarct size. In the present study, we analyzed the mechanisms underlying the IPostC-induced microvascular protection by transcriptomic analysis, followed by pathway analysis. Closed-chest reperfused MI was induced by 90 min percutaneous balloon occlusion of the left anterior descending coronary artery, followed by balloon deflation in anaesthetised pigs. Animals were randomised to IPostC (n = 8), MI (non-conditioned, n = 8), or Control (sham-operated, n = 4) groups. After three hours or three days follow-up, myocardial tissue samples were harvested and subjected to RNA-seq analysis. Although the transcriptome analysis revealed similar expression between IPostC and MI in transcripts involved in cardioprotective pathways, we identified gene expression changes responding to IPostC at the three days follow-up. Focal adhesion signaling, downregulated genes participating in cardiomyopathy and activation of blood cells may have critical consequences for microvascular protection. Specific analyses of the gene subsets enriched in the endothelium of the infarcted area, revealed strong deregulation of transcriptional functional clusters, DNA processing, replication and repair, cell proliferation, and focal adhesion, suggesting sustentative function in the endothelial cell layer protection and integrity. The spatial and time-dependent transcriptome analysis of porcine myocardium supports a protective effect of IPostC on coronary microvasculature post-MI.
Project description:Background:Long non-coding RNAs (lncRNAs) have been reported to modulate cardiovascular diseases, and expression dynamics of lncRNAs in the bloodstream were proposed to be potential biomarkers for clinical diagnosis. However, few cardiovascular diseases-related circulating lncRNAs were identified and their prediction power has not been investigated in depth. Here we report a new circulating lncRNA, atherosclerotic plaque pathogenesis associated transcript (APPAT), and evaluated its role and predicting ability in atherosclerotic development. Methods:APPAT was analyzed and screened by high-throughput sequencing, and then detected in vitro and in vivo. Immunofluorescence-fluorescence in situ hybridization (IF-FISH) was utilized to explore distribution and subcellular location of APPAT. The expressing alteration of APPAT in samples of healthy and pathological coronary artery was explored further. We also assessed the level of circulating APPAT in blood samples from healthy individuals, and patients with angina pectoris (AP) or myocardial infarction (MI). Additionally, we predicted and validated microRNA targets of APPAT, then showed the expression level of a candidate target which was primarily measured in human VSMCs cell line, coronary artery, and blood samples. Lastly, we examined the potential indicating ability of APPAT for the risk of AP or MI. Results:APPAT showed significant reduction in ox-LDL treated human VSMCs in vitro. It enriched in contractile VSMCs of artery tunica media and mainly existed in cytoplasm. Significant down-regulation of APPAT was found in coronary artery samples with severe stenosis. More importantly, we observed decreased expression of APPAT in blood samples accompanying disease progression. ROC and correlation analyses further verified the relatively high predicting ability of APPAT. We also observed the predicted miRNA exhibited opposite expression direction to that of APPAT. Conclusions:This study revealed that circulating lncRNA-APPAT may perform an important function and have some indicating ability on the development of atherosclerosis.
Project description:New thoughts are warranted to develop efficient diagnosis and optimal therapeutics to combat unstable angina (UA)/myocardial infarction (MI). Therefore, the gene data of patients with UA or MI were used in this study to identify the optimal pathways which can provide comprehensive information for UA/MI development. Differentially expressed genes (DEGs) between UA and MI were detected using LIMMA package, and pathway enrichment analysis was conducted for the DEGs, based on the DAVID tool, to detect the significant pathways. Then, differential co-expression network (DCN) and sub-DCN for the DEGs were constructed. Subsequently, informative pathways were extracted using guilt-by-association (GBA) principle relying on the area under the curve (AUC), and the pathway categories with AUC >0.8 were defined as the informative pathways. Finally, we selected the optimal pathways based on the traditional pathway analysis and the sub-DCN-based-GBA pathway prediction method. A total of 203 and 266 DEGs were identified from the expression profile of blood of MI samples comparing with UAs in the time-point 1 and time-point 2 groups. Moreover, 7 and 10 informative pathway terms were identified based on AUC>0.8. Significantly, cytokine-cytokine receptor interaction, as well as MAPK signaling pathway were the common optimal pathways in the two groups. Calcium signaling pathway was unique to the whole blood of patients with acute coronary syndrome (ACS) taken at 30 days post-ACS. In conclusion, the optimal pathways (MAPK signaling pathway, cytokine-cytokine receptor interaction, and calcium signaling pathway) might play important roles in the progression of UA/MI.
Project description:Sexual dimorphisms are well recognized in various cardiac diseases, including myocardial infarction (MI). MI develops later in women, but once established, it contributes more persistent symptoms and higher mortality than in men. Although mRNA-level sexual dimorphism of MI have been reported, whether miRNA transcriptome also confers such dimorphism remains unknown. Comprehensive understanding of the mRNA- and miRNA-level genetic programs underlying the heart sexual dimorphisms will expectedly improve clinical outcome by facilitating the development of gender specific treatment strategies. Here, by conducting miRNA microarray analysis of human MI samples, we set out to characterize the heart sexual dimorphisms at the level of miRNA transcriptome Human tissue samples, acquired during post-mortem examination and frozen in liquid nitrogen, were provided by the department of pathology, Tokyo Metropolitan Geriatric Hospital after the approval from the ethical committee. Age- and sex-matched cohorts were selected to compare healthy hearts to those with post-MI LV remodeling. Border zone for myocardial infarction was sampled. Total RNA was extracted using Sepasol solution (Sepasol-RNA I super G, nakalai tesque, Japan), and microarray analysis was performed using Affymetrix GeneChipÂ® miRNA 3.0 Arrays
Project description:As the most severe manifestation of coronary artery disease, myocardial infarction (MI) is a complex and multifactorial pathophysiologic process. However, the pathogenesis that underlies MI remains unclear. Here, we generated a MI mouse model by ligation of the proximal left anterior descending coronary artery. The transcriptome and proteome, at different time points after MI, were detected and analysed. Immune-related pathways, cell cycle-related pathways, and extracellular matrix remodelling-related pathways were significantly increased after MI. Not only innate immune cells but also adaptive immune cells participated in the early stage of MI. Proteins that functioned in blood agglutination, fibrinolysis, secretion, and immunity were significantly changed after MI. Nppa, Serpina3n, and Anxa1, three secreted proteins that can easily be detected in blood, were significantly changed after MI. Our discoveries not only reveal the molecular and cellular changes in MI but also identify potential candidate biomarkers of MI for clinical diagnosis or treatment.
Project description:Myocardial infarction (MI) is a disease characterized by high morbidity and mortality rates. MI biomarkers are frequently used in clinical diagnosis; however, their specificity and sensitivity remain unsatisfactory. Urinary proteome is an easy, efficient and noninvasive source to examine biomarkers associated with various diseases. The present study, to the best of the authors' knowledge, is the first to examine the urinary proteome using the isobaric tags for relative and absolute quantitation (iTRAQ) technology to identify potential diagnostic biomarkers of MI. The urinary proteome was analyzed within 12 h following the first symptoms of early?onset MI and at day 7 following percutaneous coronary intervention via iTRAQ labeling and two?dimensional liquid chromatography?tandem mass spectrometry. Candidate biomarkers were validated by multiple reaction monitoring (MRM) analysis. A total of 233 urinary proteins were differentially expressed. Gene enrichment analysis identified that the urinary proteome in patients with MI was associated with atherosclerosis, abnormal coagulation and abnormal cell metabolism. In total, 12 differentially expressed urinary proteins were validated by MRM analysis, five of which were associated with MI for the first time in the present study. Binary logistic regression analysis suggested that the combination of five urinary proteins (antithrombin?III, complement C3, ??1?acid glycoprotein 1, serotransferrin and cathepsin Z) may be used to diagnose MI with 94% sensitivity and 93% specificity. In addition, the protein expression levels of three proteins were significantly restored to normal levels following surgical treatment. The verified candidate biomarkers may be used for the diagnosis of MI, and for monitoring the disease status and the effects of treatments for MI. The present results may facilitate future clinical applications of the urinary proteome to diagnose MI.
Project description:This article contains further data and information from our published manuscript . We aim to identify significant transcriptome alterations of total normal human thyroid vs. histologically normal thyroid adjacent to papillary thyroid carcinoma. We performed a systematic meta-analysis of all the available gene expression profiles for the whole organ also collecting gene expression data for the normal thyroid adjacent to papillary thyroid carcinoma. A differential quantitative transcriptome reference map was generated by using TRAM (Transcriptome Mapper) software able to combine, normalize and integrate a total of 35 datasets from total normal thyroid and 40 datasets from histologically normal thyroid adjacent to papillary thyroid carcinoma from different sources. This analysis identified genes and genome segments that significantly discriminated the two groups of samples. Differentially expressed genes were grouped and enrichment function analyses were performed identifying the main features of the differentially expressed genes between total normal thyroid and histologically normal thyroid adjacent to papillary thyroid carcinoma. The search for housekeeping genes retrieved 414 loci.
Project description:Loss of mitochondrial respiratory flux is a hallmark of skeletal muscle aging, contributing to a progressive decline of muscle strength. Endurance exercise alleviates the decrease in respiratory flux, both in humans and in rodents. Here, we dissect the underlying mechanism of mitochondrial flux decline by integrated analysis of the molecular network. Mice were given a lifelong ad libitum low-fat or high-fat sucrose diet and were further divided into sedentary and running-wheel groups. At 6, 12, 18 and 24 months, muscle weight, triglyceride content and mitochondrial respiratory flux were analysed. Subsequently, transcriptome was measured by RNA-Seq and proteome by targeted LC-MS/MS analysis with <sup>13</sup> C-labelled standards. In the sedentary groups, mitochondrial respiratory flux declined with age. Voluntary running protected the mitochondrial respiratory flux until 18 months of age. Beyond this time point, all groups converged. Regulation Analysis of flux, proteome and transcriptome showed that the decline of flux was equally regulated at the proteomic and at the metabolic level, while regulation at the transcriptional level was marginal. Proteomic regulation was most prominent at the beginning and at the end of the pathway, namely at the pyruvate dehydrogenase complex and at the synthesis and transport of ATP. Further proteomic regulation was scattered across the entire pathway, revealing an effective multisite regulation. Finally, reactions regulated at the protein level were highly overlapping between the four experimental groups, suggesting a common, post-transcriptional mechanism of muscle aging.