Poster Session M - Cardiovascular Medicine and Research 1.
Benczik, Bettina, MSc
H209EX
Department of Pharmacology and Pharmacotherapy
+36309929832
benczik.bettina@phd.semmelweis.hu
Bioinformatics Analysis of the MiRNA Expression Profiles of Hypertrophy and Heart Failure
Bettina Benczik1,4,5, Mihály Ruppert2, Sevil Korkmaz-Icöz3, Bence Ágg4,5, Dávid Nagy2, Tímea Bálint2, Alex Ali Sayour2, Attila Oláh2, Bálint András Barta2, Kálmán Benke2, Péter Ferdinandy4,5, Béla Merkely2, Mathias Karck3, Tamás Radovits2, Gábor Szabó3,6
1: Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest
2: Heart and Vascular Center, Semmelweis University, Budapest
3: Department of Cardiac Surgery, University of Heidelberg, Heidelberg
4: Pharmahungary Group, Szeged
5: Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest
6: Department of Cardiology, Angiology and Pulmonology, University Hospital Heidelberg, Heidelber
Poszter
Poster Session M - Cardiovascular Medicine and Research 1.
Hungarian
Cardiovascular Medicine and Research
Myocardial hypertrophy and the underlying remodeling may result in the chronic activation of maladaptive changes leading to heart failure (HF). As regulators of most physiological and pathological processes, microRNAs (miRNAs) play an important role also in the transition between adaptive and maladaptive changes. To unravel the complex regulatory mechanisms underlying HF and hypertrophy, an unbiased bioinformatics approach is needed.
Here, we aimed to construct and examine miRNA-target interaction networks in the two forms of pressure overload (PO)-induced left ventricular hypertrophy (with/without systolic HF) to identify new therapeutic targets.
In a group of aortic banded rat models of hypertrophy, HF developed. MiRNA expression profiles were assessed by small RNA-sequencing. To reveal genes affected by the changes identified in the miRNA expression profiles, unbiased miRNA-target predictions were performed using the network theoretical miRNAtarget software.
50 miRNAs were identified by miRNA profiling when HF was compared to hypertrophy (P-value < 0.05 and fold change > 1.5 or < 1/1.5), which predicted to regulate >3000 target genes. 17 high node strength genes were selected for mRNA-level validation of which 5 showed significant expression change in the predicted direction in HF (Fmr1, Zfpm2, Wasl, Ets1, Atg16l1). Additionally, 1 miRNA family and 4 miRNA clusters were detected.
The network theoretical miRNA-target prediction revealed that PO-evoked HF is associated with a unique miRNA signature, which negatively regulates the mRNA expression of Fmr1, Zfmp2, Wasl, Ets1 and Atg16l1.
Project no. RRF-2.3.1-21-2022-00003 has been implemented with the support provided by the European Union. TKP2021-EGA-23 has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme. The study was supported by the National Research, Development and Innovation Office of Hungary (National Heart Program; NVKP-16-1-2016- 0017), by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences (to M.R.), by a grant from the National Research, Development and Innovation Office (NKFIH) of Hungary (K134939 to T.R.) and by the Medical Faculty of the University of Heidelberg Germany (to S. KI).
Semmelweis University
Prof. Dr. Ferdinandy Péter, Dr. Ágg Bence
I do not give consent to the publication of my abstract on the website of the congress.
Szabad
elfogadva
poszter
nem rendelkezett róla
6896
16:35
16:38