Secondary Use Projects
All research projects that work with data and biosamples from the DZHK Heart Bank and that have been approved to date can be found here. You can search for the resource you are using or do a full text search.
11 - 19 (out of 19)
Characterization of lipidome dynamics in anthracycline-induced cardiotoxicity
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Discovery and systematical characterization of Splicing Variation in Coronary Artery Disease
Genome-wide association studies (GWAS) have successfully identified over 300 gene loci contributing to the risk of coronary artery disease (CAD).
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Association of single nucleotide polymorphism (SNPs) within the MAP3K12 gene with cardiovascular risk factors
The mitogen-activated protein 3 kinase 12 (MAP3K12) alias dual leucine zipper kinase (DLK) is mainly involved in the pathogenesis of neurodegenerative diseases.
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Genetics of autoimmune encephalitis
Autoimmune brain inflammations are a group of rare, serious brain diseases caused mainly by auto-antibodies, which have only been known for about 15 years and lead to neurological and psychiatric symptoms.
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Exercise testing in patients with asymptomatic systolic heart failure
The project will further investigate two factors related to exercise capacity in NYHA I patients: the influence of the right heart and quality of life/mental health.
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Molecular markers and new therapeutic targets in patients with inflammatory cardiomyopathy
The exact pathomechanisms of inflammatory cardiomyopathy continue to be relevant to current cardiovascular science.
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Exercise capacity and systolic and diastolic dysfunction in patients with NYHA I
While systolic dysfunction can be easily identified on echocardiography by using ejection fraction (EF), the diagnosis of diastolic dysfunction requires multiple criteria in echocardiography.
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Mass spectrometric detection of complex lipids in calcified aortic valves
Calcific aortic valve disease (CAVD) is the most common valvular heart disease requiring treatment in the western world.
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Diagnosis and risk stratification of patients with cardiomyopathy
To improve diagnosis and risk stratification of patients with cardiomyopathy, this project assesses secretome biomarker profiles via proteomic analysis methods.
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