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Transcriptome Profiling of Surgical Myectomy Tissue from Patients with Hypertrophic Cardiomyopathy

ABSTRACT: Using a high-throughput gene expression profiling technology, we have been able to develop new hypotheses regarding the molecular pathogenic mechanisms of human hypertrophic cardiomyopathy (HCM). It is hoped that these hypotheses, among others generated by this data, will fuel future research endeavors that will uncover novel biomarkers, prognostic indicators, and therapeutic targets to improve our ability to diagnose, counsel, and treat patients with this highly heterogeneous and potentially life-threatening condition. Case-control study comparing the messenger RNA transcriptome of cardiac tissues from patients with hypertrophic cardiomyopathy to the transcriptome of control donor cardiac tissues.

ORGANISM(S): Homo sapiens

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PROVIDER: S-DIXA-D-1125 | biostudies-other |

REPOSITORIES: biostudies-other

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Transcriptome Profiling of Surgical Myectomy Tissue from Patients with Hypertrophic Cardiomyopathy

Project description:Using a high-throughput gene expression profiling technology, we have been able to develop new hypotheses regarding the molecular pathogenic mechanisms of human hypertrophic cardiomyopathy (HCM). It is hoped that these hypotheses, among others generated by this data, will fuel future research endeavors that will uncover novel biomarkers, prognostic indicators, and therapeutic targets to improve our ability to diagnose, counsel, and treat patients with this highly heterogeneous and potentially life-threatening condition.

2012-09-01 | GSE36961 | GEO

Transcriptome Profiling of Surgical Myectomy Tissue from Patients with Hypertrophic Cardiomyopathy

2012-09-01 | E-GEOD-36961 | biostudies-arrayexpress

MicroRNA Profiling of Surgical Myectomy Tissue from Patients with Hypertrophic Cardiomyopathy

Project description: Not available

| S-DIXA-D-1124 | biostudies-other

MicroRNA Profiling of Surgical Myectomy Tissue from Patients with Hypertrophic Cardiomyopathy

Project description:Using a high-throughput gene expression profiling technology, we have illuminated novel potential microRNA (miRNA) components of the molecular disease process underlying human hypertrophic cardiomyopathy (HCM). It is hoped that this will fuel future research endeavors that will eventually uncover the role miRNAs may play in the phenotypic heterogeneity of the disease, and thus, provide potential tools for identifying patients with benign versus malignant forms of the disease.

2012-09-01 | GSE36946 | GEO

MicroRNA Profiling of Surgical Myectomy Tissue from Patients with Hypertrophic Cardiomyopathy

2012-09-01 | E-GEOD-36946 | biostudies-arrayexpress

Plasma metabolomic profiling of hypertrophic cardiomyopathy patients before and after surgical myectomy suggests postoperative improvement in metabolic function.

Project description:BackgroundHypertrophic cardiomyopathy (HCM) is a common inherited heart disorder complicated by left ventricle outflow tract (LVOT) obstruction, which can be treated with surgical myectomy. To date, no reliable biomarkers for LVOT obstruction exist. We hypothesized that metabolomic biomarkers for LVOT obstruction may be detectable in plasma from HCM patients.MethodsWe conducted metabolomic profiling on plasma samples of 18 HCM patients before and after surgical myectomy, using a commercially available metabolomics platform.ResultsWe found that 215 metabolites were altered in the postoperative state (p-value < 0.05). 12 of these metabolites were notably significant after adjusting for multiple comparisons (q-value < 0.05), including bilirubin, PFOS, PFOA, 3,5-dichloro-2,6-dihydroxybenzoic acid, 2-hydroxylaurate, trigonelline and 6 unidentified compounds, which support improved organ metabolic function and increased lean soft tissue mass.ConclusionsThese findings suggest improved organ metabolic function after surgical relief of LVOT obstruction in HCM and further underscore the beneficial systemic effects of surgical myectomy.

| S-EPMC8714427 | biostudies-literature

Plasma Proteomic Profiling in Hypertrophic Cardiomyopathy Patients before and after Surgical Myectomy Reveals Post-Procedural Reduction in Systemic Inflammation.

Project description:Left Ventricular Outflow Tract (LVOT) obstruction occurs in approximately 70% of Hypertrophic Cardiomyopathy (HCM) patients and currently requires imaging or invasive testing for diagnosis, sometimes in conjunction with provocative physiological or pharmaceutical stimuli. To identify potential biomarkers of LVOT obstruction, we performed proteomics profiling of 1305 plasma proteins in 12 HCM patients with documented LVOT obstruction, referred for surgical myectomy. Plasma was collected at the surgical preoperative visit, approximately one month prior to surgery and then at the post-surgical visit, approximately 3 months later. Proteomic profiles were generated using the aptamer-based SOMAscan assay. Principal Component Analysis using the highest statistically significant proteins separated all preoperative samples from all postoperative samples. Further analysis revealed a set of 25 proteins that distinguished the preoperative and postoperative states with a paired t-test p-value of <0.01. Ingenuity Pathway analysis facilitated the generation of protein interaction networks and the elucidation of key upstream regulators of differentially expressed proteins, such as interferon-γ, TGF-β1, and TNF. Biological pathways affected by surgery included organ inflammation, migration, and motility of leukocytes, fibrosis, vasculogenesis, angiogenesis, acute coronary events, endothelial proliferation, eicosanoid metabolism, calcium flux, apoptosis, and morphology of the cardiovascular system. Our results indicate that surgical relief of dynamic outflow tract obstruction in HCM patients is associated with unique alterations in plasma proteomic profiles that likely reflect improvement in organ inflammation and physiological function.

| S-EPMC7957543 | biostudies-literature

DNA methylome and transcriptome profiling reveal key electrophysiology and immune dysregulation in hypertrophic cardiomyopathy.

Project description:Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease. However, a detailed DNA methylation (DNAme) landscape has not yet been elucidated. Our study combined DNAme and transcriptome profiles for HCM myocardium and identify aberrant DNAme associated with altered myocardial function in HCM. The transcription of methylation-related genes did not significantly differ between HCM and normal myocardium. Nevertheless, the former had an altered DNAme profile compared with the latter. The hypermethylated and hypomethylated sites in HCM tissues had chromosomal distributions and functional enrichment of correlated genes differing from those of their normal tissue counterparts. The GO analysis of network underlying the genes correlated with DNAme alteration and differentially expressed genes (DEGs) shows functional clusters centred on immune cell function and muscle system processes. In KEGG analysis, only the calcium signalling pathway was enriched either by the genes correlated with changes in DNAme or DEGs. The protein-protein interactions (PPI) underlying the genes altered at both the DNAme and transcriptional highlighted two important functional clusters. One of these was related to the immune response and had the estrogen receptor-encoding ESR1 gene as its node. The other cluster comprised cardiac electrophysiology-related genes. Intelliectin-1 (ITLN1), a component of the innate immune system, was transcriptionally downregulated in HCM and had a hypermethylated site within 1500 bp upstream of the ITLN1 transcription start site. Estimates of immune infiltration demonstrated a relative decline in immune cell population diversity in HCM. A combination of DNAme and transcriptome profiles may help identify and develop new therapeutic targets for HCM.

| S-EPMC10072074 | biostudies-literature

Cardiac magnetic resonance-derived tissue tracking strain in patients with hypertrophic cardiomyopathy.

Project description: Not available

| S-EPMC9929377 | biostudies-literature

RNA-seq transcriptome profiling and whole exome sequencing data on Hypertrophic cardiomyopathy (HCM) patients

Project description:This study is to examine gene expression profiles in 18 HCM patients and compare them with those in 5 healthy controls. The hypothesis tested here is whether patient individual-level transcriptome data integrated with the human interactom can implicate the heterogenity of HCM phenotypes.In this study, we also analyze DNA whole-exome sequencing (WES) data from 18 patients.

2021-01-09 | GSE160997 | GEO

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