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Effects of enhanced external counterpulsation on skeletal muscle gene expression in patients with severe heart failure

ABSTRACT: Male patients (n=6, mean age 62 years) with NYHA III-IV and an left ventricular ejection fraction of <35% despite pharmacological therapy received 35 hours of enhanced external counterpulsation (EECP) over a period of 7 weeks. Before and after treatment, lateral vastus muscle biopsies were obtained and skeletal muscle gene expression was evaluated using the Affymetrix HuGene 1.0 platform.

ORGANISM(S): Homo sapiens

PROVIDER: GSE72807 | GEO | 2016/06/01

SECONDARY ACCESSION(S): PRJNA295094

REPOSITORIES: GEO

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Effects of enhanced external counterpulsation on skeletal muscle gene expression in patients with severe heart failure

Project description:Male patients (n=6, mean age 62 years) with NYHA III-IV and an left ventricular ejection fraction of <35% despite pharmacological therapy received 35 hours of enhanced external counterpulsation (EECP) over a period of 7 weeks. Before and after treatment, lateral vastus muscle biopsies were obtained and skeletal muscle gene expression was evaluated using the Affymetrix HuGene 1.0 platform. Skeletal muscle gene expression before and after treatment with enhanced external counterpulsation for 7 weeks in 6 male patients with severe heart failure

2016-06-01 | E-GEOD-72807 | biostudies-arrayexpress

Homo sapiens

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Divergent immunometabolic changes in adipose tissue and skeletal muscle with ageing in healthy humans

Project description:RNA-sequencing from 12 young (20-35 years old) and 12 older (60-85 years old) participants' skeletal muscle and adipose tissue. Biopsies were taken at rest following an overnight fast, and following alcohol/caffeine restriction for 24 hours, and no strenuous physical activity for 48 hours. Skeletal muscle was taken by the Bergstrom technique under local anaesthesia (Lidocaine hydrochloride) from the dominant leg Vastus Lateralis, and adipose tissue was taken by needle aspiration 5cm lateral to the umbilicus.

2021-05-26 | GSE175495 | GEO

Muscle Transcriptome Profile of Resistance Exercise is Augmented by Aerobic Exercise

Project description:10 male subjects performed ~45 min one-legged cycling and 4 x 7 maximal concentric-eccentric knee extensions for each leg 15 min later. Thus, one limb performed aerobic and resistance exercise (AE+RE), while the opposing leg did resistance exercise only (RE). Biopsies were obtained from m. vastus lateralis of each leg 3 h after the resistance exercise bout. Gene expression analysis was carried out on the Affymetrix HuGene-2.1-st platform.

2016-05-24 | GSE74194 | GEO

Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure

Project description:Heart failure (HF) is the most common cause of morbidity and mortality in the developed countries, especially considering the present demographic tendencies in those populations. We identified biologically relevant transcripts that are significantly altered in the early phase of myocardial infarction (MI) and are associated with the development of post-myocardial infarction HF. We collected peripheral blood samples from patients (n=111) with ST-segment elevation myocardial infarction (STEMI) at four time points (admission, discharge, 1 month after MI, and 6 months after MI). Control group comprised patients (n=46) with a stable coronary artery disease and without a history of myocardial infarction. Affymetrix HuGene 1.0 ST arrays were used to analyze mRNA levels in periperal blood mononuclear cells (PBMCs) isolated from the study and control groups. Samples from the first three time points were compared with the samples from the same patients collected 6 months after MI (stable phase) and with the control group. Additionaly, based on plasma NT-proBNP level and left ventricular ejection fraction parameters the STEMI patients were divided into HF and non-HF groups.We attempted to identify transcripts whose differential expression on the 1st day of myocardial infarction predicted which patients would develop symptoms of HF during the 6 months of follow-up. For this purpose, we compared the microarray results for samples collected on admission for the HF group versus the non-HF group.

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Vastus lateralis muscle biopsy: post-expedition vs. pre-expedition

Project description:To define the skeletal muscle adaptations induced by exercise performed at high altitude hypoxia, we investigated if the gene expression profile of Vastus lateralis muscle was affected by 5000 m-above-sl-expedition. Two-condition experiment, Vastus lateralis muscle biopsy post-expedition vs Vastus lateralis muscle biopsy pre-expedition. Five volunteers/climbers. Biological replicates: 1 pre-expedition sample, 1 post-expedition sample.

2010-11-27 | E-GEOD-25618 | biostudies-arrayexpress

Normal human muscle

Project description:RNA from vastus lateralis of healthy young (21-31 year old) and older (62-77 year old) men. Signal data normalized to mean intensity of 500 over all probes sets. Analysis done with Affymetrix Microarray Suite 5.0 software. Keywords: other

2002-08-21 | GSE80 | GEO

Circulating microRNAs are candidate markers of heart failure and differentiate between heart failure with reduced vs preserved left ventricular ejection fraction.

Project description:In this study, we compared the expression profiles of circulating miRNAs in blood samples from controls and patients with heart ailment. Subject with no past history of heart failure/disease are considered as controls. The patients were classified according to the percentage of left ventricular ejection fraction. Patients were grouped as heart failure with reduced (hfREF) and preserved (hfPEF) left ventricular ejection fraction. Employing miRNA microarray, we identified 'signature miRNAs' in peripheral blood samples that distinguished Heart failure from the non-heart failure controls, as well as those of hfREF and hfPEF groups.

2015-02-12 | GSE53437 | GEO

Muscle Transcriptomic Circuits Linked to Periarticular Physiology in End-Stage Osteoarthritis.

Project description:Long RNAseq was performed on vastus lateralis, vastus medialis, tensor fascia latae, or gluteus maximus muscle samples from patients with end-stage OA. The primary study utilized single target differential gene expression analyses coupled with network biology to determine molecular circuits in the skeletal muscle overlaying a diseased joint.

2022-12-28 | GSE205431 | GEO

Transcriptomics of cardiac biopsies reveals differences in patients with or without diagnostic parameters for heart failure with preserved ejection fraction

Project description:Heart failure affects 2–3% of adult Western population. Prevalence of heart failure with preserved left ventricular (LV) ejection fraction (HFpEF) increases. Studies suggest HFpEF patients to have altered myocardial structure and functional changes such as incomplete relaxation and increased cardiac stiffness. We hypothesised that patients undergoing elective coronary bypass surgery (CABG) with HFpEF characteristics will show distinctive gene expression compared to patients with normal LV physiology. Myocardial biopsies for mRNA expression analysis were obtained from sixteen patients with LV ejection fraction ≥ 45%. Five out of 16 patients (31%) had echocardiographic characteristics and increased NTproBNP levels indicative of HFpEF and this group was used as HFpEF proxy, while 11 patients had Normal LV physiology. Utilising principal component analysis, the gene expression data clustered into two groups, corresponding to HFpEF proxy and Normal physiology, and 743 differentially expressed genes were identified. The associated top biological functions were cardiac muscle contraction, oxidative phosphorylation, cellular remodelling and matrix organisation. Our results also indicate that upstream regulatory events, including inhibition of transcription factors STAT4, SRF and TP53, and activation of transcription repressors HEY2 and KDM5A, could provide explanatory mechanisms to observed gene expression differences and ultimately cardiac dysfunction in the HFpEF proxy group. <br> Sequencing data from clinical patients fall under GDPR regulations of sharing of personal data and will be made available through EGA-SE.

2019-03-02 | E-MTAB-7454 | biostudies-arrayexpress

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