A5023784007- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- MicroRNA in disease regulation
- Cell Image Analysis Techniques
- RNA Research and Splicing
- Hydrogen's biological and therapeutic effects
- Protein Structure and Dynamics
- RNA Interference and Gene Delivery
- Cancer-related molecular mechanisms research
- Microbial Metabolic Engineering and Bioproduction
- Signaling Pathways in Disease
- Migraine and Headache Studies
- Redox biology and oxidative stress
- Molecular Biology Techniques and Applications
- Machine Learning in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- Mechanical Circulatory Support Devices
- Cardiovascular Health and Risk Factors
- GDF15 and Related Biomarkers
- Pharmacovigilance and Adverse Drug Reactions
- Neurological Disease Mechanisms and Treatments
- Cardiomyopathy and Myosin Studies
- Cardiac Arrest and Resuscitation
- COVID-19 diagnosis using AI
- Genomics, phytochemicals, and oxidative stress
Semmelweis University
2020-2024
Abstract Comprehensive understanding of the human protein-protein interaction (PPI) network, aka interactome, can provide important insights into molecular mechanisms complex biological processes and diseases. Despite remarkable experimental efforts undertaken to date determine structure many PPIs remain unmapped. Computational approaches, especially network-based methods, facilitate identification previously uncharacterized PPIs. Many such methods have been proposed. Yet, a systematic...
Abstract Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model risk of in-hospital mortality post-SARS-CoV-2 infection. Blood samples and clinical data from 1286 patients collected 2020 2023 four cohorts in Canada were analyzed, with 2906 long non-coding RNAs profiled using targeted sequencing. From discovery cohort combining three...
Abstract Background The investigation of possible interactions between two proteins in intracellular signaling is an expensive and laborious procedure the wet-lab, therefore, several silico approaches have been implemented to narrow down candidates for future experimental validations. Reformulating problem field network theory, set can be represented as nodes a network, while them edges. resulting protein–protein interaction (PPI) enables use link prediction techniques order discover new...
Migraine is a primary headache with genetic susceptibility, but the pathophysiological mechanisms are poorly understood, and it remains an unmet medical need. Earlier we demonstrated significant differences in transcriptome of migraineurs' PBMCs (peripheral blood mononuclear cells), suggesting role neuroinflammation mitochondrial dysfunctions. Post-transcriptional gene expression regulated by miRNA (microRNA), group short non-coding RNAs that emerging biomarkers, drug targets, or drugs....
Abstract Background and purpose MicroRNA (miRNA) therapy is a promising approach to induce cardioprotection. We have previously identified cardiac microRNA‐125b* (microRNA‐125b‐2‐3p; miR‐125b*) as potential cardioprotective miRNA, termed ProtectomiR. aimed characterize the pharmacokinetics pharmacodynamics, effect of miR‐125b* mimic on infarct size using an in vivo mouse model. Experimental To properties mimic, single injection 10‐μg or its scramble miRNA control, vehicle i.v. was given...
Abstract Ischaemic post‐conditioning (IPoC) is a clinical applicable procedure to reduce reperfusion injury. Non‐responsiveness IPoC possibly caused by co‐morbidities limits its attractiveness. We analysed differences in the expression of mitochondrial proteins between responder (IPoC‐R) and non‐responder (IPoC‐NR). Eighty rats were randomly grouped sham, ischaemia/reperfusion (I/R), or ischaemic pre‐conditioning (IPC, as positive cardioprotective intervention) vivo. Infarct sizes quantified...
Signal detection yields confirmed signals in only 2.1%, which imposes a heavy burden on the pharmacovigilance system European Union.We aimed to develop network theoretical metric increase signal ratio of individual case safety report (ICSR) networks.ICSRs five cardiovascular adverse events were requested from EudraVigilance. We developed Vigilace™, web-based application build representation ICSRs. Three network-based scores, we termed NEWS (normalized edge weight for signals) calculated by...
Abstract Although systolic function characteristically shows gradual impairment in pressure overload (PO)-evoked left ventricular (LV) hypertrophy (LVH), rapid progression to congestive heart failure (HF) occurs distinct cases. The molecular mechanisms for the differences maladaptation are unknown. Here, we examined microRNA (miRNA) expression and miRNA-driven posttranscriptional gene regulation two forms of PO-induced LVH (with/without HF). PO was induced by aortic banding (AB) male...
Cardiac hypertrophy resulting from sympathetic nervous system activation triggers the development of heart failure. The transcription factor Y-box binding protein 1 (YB-1) can interact with factors involved in cardiac and may thereby interfere growth process. Therefore, question arises as to whether YB-1 influences cardiomyocyte might influence expression is downregulated human biopsies patients ischemic cardiomyopathy (n = 8), leading To study impact reduced cells, we performed small...
Abstract Comprehensive insights from the human protein-protein interaction (PPI) network, known as interactome, can provide important into molecular mechanisms of complex biological processes and diseases. Despite remarkable experimental efforts undertaken to date determine structure many PPIs remain unmapped. Computational approaches, especially network-based methods, facilitate identification new PPIs. Many such approaches have been proposed. However, a systematic evaluation existing...
Introduction/Background: Cardiovascular symptoms appear in a high proportion of patients the few months following severe SARS-CoV-2 infection. Non-invasive methods to predict disease severity could help personalizing healthcare and reducing occurrence these symptoms. Research Questions/Hypothesis: We hypothesized that blood long noncoding RNAs (lncRNAs) machine learning (ML) COVID-19 severity. Goals/Aims: To develop model based on lncRNAs ML for predicting Methods/Approach: Expression data...
Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main source(s): This study was supported by the Research, Development and Innovation Office Hungary (NKFIA; NVKP-16-1-2016-0017 Heart Program) Thematic Excellence Programme (2020-4.1.1.-TKP2020) Ministry for Technology in Hungary, within framework Therapeutic Molecular Biology thematic programmes Semmelweis University. Introduction There is a growing body evidence that changes cardiac microRNA...