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| Name | Class |
|---|---|
| Region Stockholm | OTHER_GOV |
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The mechanisms behind heart failure are largely unknown. Despite an increasing arsenal of pharmacological therapies, cardiovascular disease is still the most common cause of death in the western world, which demonstrates a pronounced need for more patient-related mechanistic research. Cachexia and limited exercise capacity are the symptoms that best match prediction of heart failure, both of which are symptoms involving a dysfunctional skeletal muscle. An increased understanding of the mechanisms and signaling pathways connects the failure heart with skeletal muscle dysfunction is likely to lead both to discoveries of prognostic factors and possible therapeutic options.
The study is a prospective, non-blinded, study. The study will consist of the assignment of patients with heart failure, New York Heart Association (NYHA) III-IV, 60-80 years old. One hundred (100) patients will be enrolled in this study.
The primary objective is to investigate how changes in the skeletal muscle coincide with changes in physical performance, cardiac function, and prognosis in patients with heart failure, and changes over time. Therefore, the investigators will investigate patients with severe heart failure at 'baseline' and on a second follow-up occasion after 12-16 months.
The secondary and tertiary objective is to investigate how changes in the metabolic signature of blood and satellite cells coincide with changes in physical performance, cardiac function, and prognosis in patients with heart failure, and changes over time. Patient recruitment is expected to occur over 36 months.
The study will be conducted in Sweden at Karolinska University Hospital, Huddinge.
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| Measure | Description | Time Frame |
|---|---|---|
| Metabolic signature of muscle, messenger RNA (mRNA) gene expression | Metabolomics profile using nuclear magnetic resonance (NMR) | Change from baseline metabolic signature at 24 months |
| Metabolic signature of muscle, messenger RNA (mRNA) gene | Metabolomics profile using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) | Change from baseline metabolic signature at 24 months |
| Measure | Description | Time Frame |
|---|---|---|
| Metabolic signature of blood, mRNA gene expression | Metabolomics profile using NMR | Change from baseline metabolic signature at 24 months |
| Metabolic signature of blood, mRNA gene expression | Metabolomics profile using LC-HRMS |
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Inclusion criteria:
Exclusion criteria:
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Patients with severe heart failure
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Thomas Gustafsson, MD, PhD | Contact | +46707415124 | thomas.gustafsson@ki.se | |
| Eric Rullman, MD, PhD | Contact | +46739708096 | eric.rullman@ki.se |
| Name | Affiliation | Role |
|---|---|---|
| Matti Sällberg, professor | Karolinska Institutet | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Karolinska University Hospital | Recruiting | Stockholm | Stockholm County | 144 86 | Sweden |
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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Blood samples, muscle biopsies
Initial examination and sampling:
A) Blood sampling B) Ecocardiographic examination, C) Maximal working test including oxygen uptake D) Measurement of arm and leg strength using so-called Biodex E) Pulse, blood pressure and cardiac output volume measurement F) Measurement of muscle mass using CT G) Muscle biopsy in local anesthesia taken from one leg's vastus lateralis H) Daily physical activity measured with an accelerometer (pedometer) I) Measurement of lung function using standard spirometry J) Cardiac examination with MR in non-pacemaker subjects
24 months after the first sampling, the persons will be asked to re-examine the same examination procedures.
| Change from baseline metabolic signature at 24 months |
| Metabolic signature of satellite cells, mRNA gene expression | Metabolomics profile using NMR | Change from baseline metabolic signature at 24 months |
| Metabolic signature of satellite cells, mRNA gene expression | Metabolomics profile using LC-HRMS | Change from baseline metabolic signature at 24 months |
| Expression levels of targeted genes using transcriptomics | Choice of genes based on results obtained by metabolomics approaches | Change from baseline metabolic signature at 24 months |