CEEPC/IPM/CMSC - Abstrakt prezentace

(CEEPC/IPM/CMSC 2022 - SaO-26)
Multi-omics network analysis in atherosclerosis reveals mechanisms driving the progression towords complicated lesion

Eva Csosz 1 *, Ajneesh Kumar 1,2, László Prókai 3,1, Gergő Kalló 1, László Potor 4,5, Zoltán Hendrik 6, Csaba Tóth 7, Péter Gergely 8, György Balla 9,5, József Balla 5,10

  1. Proteomics Core Facility, University of Debrecen, Debrecen, Hungary
  2. Molecular and Cellular Immune Biology Doctoral School, University of Debrecen, Debrecen, Hungary
  3. University of North Texas, Foth Worth, TX, USA
  4. Division of Nephrology, University of Debrecen, Debrecen, Hungaryy
  5. ELKH-UD Vascular Pathophysiology Research Group, Debrecen, Hungary
  6. Department of Pathology, University of Debrecen, Debrecen, Hungary
  7. Division of Vascular Surgery, University of Debrecen, Debrecen, Hungary
  8. Department of Forensic Medicine, University of Debrecen, Debrecen, Hungary
  9. Department of Pediatrics, University of Debrecen, Debrecen, Hungary
  10. Division of Nephrology, University of Debrecen, Debrecen, Hungary


From a biological point of view, it is crucial to understand the mechanisms laying behind atherosclerosis and its complicated forms. In the process of atherosclerosis, first, an atheromatous plaque builds up, which in some conditions can lead to the appearance of complicated lesions. The complicated lesion is characterized by ruptures on the atherosclerotic plaque surface and/or hemorrhage into the plaque. According to the WHO, hemorrhaged lesions, contribute to a considerable extent of deaths worldwide.
The main goal of our project was to perform a multi-omics study involving transcriptomics and proteomics data to get more insights into the pathophysiological processes dominating the complicated lesions.
Transcriptomic (RNAseq) and proteomic (label-free quantification) data were obtained by the analysis of artery samples originating from healthy arteries, atheromatous lesions, and complicated lesions. Both data types were examined separately by Ingenuity Pathway Analysis and later an overlay of the networks was achieved.
120 differentially expressed (DE) proteins and more than 4000 DE genes were detected. The deep analysis of the data could identify the proteins and transcripts characteristic of the complicated lesions and could reveal the pathways specific to atheroma and complicated lesions, respectively. The DE genes were arranged into 25 networks, while the DE proteins were into 12 networks. The lower number of DE proteins compared to the number of DE genes did not result in loss of information, indicating the power of the proteomics experiments. In spite of providing a lower number of DE items, the biological information achievable from proteomics experiments has equal value compared to transcriptomics data.

* Korespondující autor: cseva@med.unideb.hu


We thank MTA Vendégkutató Program of the Hungarian Academy of Sciences, Hungarian Government grants OTKA-K 132828 and NKFIH FK 134605, GINOP-2.3.3-15-2016-00020 and Thematic Excellence Program of the Ministry for Innovation and Technology in Hungary (TKP2021-EGA-20) for funding.

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