Please use this identifier to cite or link to this item: doi:10.22028/D291-33455
Title: Energy Metabolites as Biomarkers in Ischemic and Dilated Cardiomyopathy
Author(s): Haas, Jan
Frese, Karen S.
Sedaghat-Hamedani, Farbod
Kayvanpour, Elham
Tappu, Rewati
Nietsch, Rouven
Tugrul, Oguz Firat
Wisdom, Michael
Dietrich, Carsten
Amr, Ali
Weis, Tanja
Niederdränk, Torsten
Murphy, Michael P.
Krieg, Thomas
Dörr, Marcus
Völker, Uwe
Fielitz, Jens
Frey, Norbert
Felix, Stephan B.
Keller, Andreas
Katus, Hugo A.
Meder, Benjamin
Language: English
Title: International Journal of Molecular Sciences
Volume: 22
Issue: 4
Publisher/Platform: MDPI
Year of Publication: 2021
Free key words: cardiomyopathy
energy metabolism
heart failure
multi-omics
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: With more than 25 million people affected, heart failure (HF) is a global threat. As energy production pathways are known to play a pivotal role in HF, we sought here to identify key metabolic changes in ischemic- and non-ischemic HF by using a multi-OMICS approach. Serum metabolites and mRNAseq and epigenetic DNA methylation profiles were analyzed from blood and left ventricular heart biopsy specimens of the same individuals. In total we collected serum from n = 82 patients with Dilated Cardiomyopathy (DCM) and n = 51 controls in the screening stage. We identified several metabolites involved in glycolysis and citric acid cycle to be elevated up to 5.7-fold in DCM (p = 1.7 × 10−6 ). Interestingly, cardiac mRNA and epigenetic changes of genes encoding rate-limiting enzymes of these pathways could also be found and validated in our second stage of metabolite assessment in n = 52 DCM, n = 39 ischemic HF and n = 57 controls. In conclusion, we identified a new set of metabolomic biomarkers for HF. We were able to identify underlying biological cascades that potentially represent suitable intervention targets.
DOI of the first publication: 10.3390/ijms22041999
Link to this record: urn:nbn:de:bsz:291--ds-334554
hdl:20.500.11880/30764
http://dx.doi.org/10.22028/D291-33455
ISSN: 1422-0067
Date of registration: 1-Mar-2021
Description of the related object: Supplementary Materials
Related object: https://www.mdpi.com/1422-0067/22/4/1999/s1
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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