Exploring fibrotic disease networks to identify common molecular mechanisms with IPF

Evangelos Karatzas, Alex Delis, George Kolios, George M. Spyrou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fibrotic diseases constitute incurable maladies that affect a large portion of the population. Idiopathic Pulmonary Fibrosis is one of the most common, and thus studied, fibrotic diseases. Common ground among all fibrotic diseases is the uncontrollable fibrogenesis which is responsible for accumulated damage in the susceptible tissues. The plethora and complexity of the underlying mechanisms of fibrotic diseases account for the lack of regimens. Hence it is highly likely that a combination of drugs is required in order to counter every perturbation. In this study, we seek to identify common biological mechanisms and characteristics of fibrotic diseases, based on information acquired from biological databases, while we focus on Idiopathic Pulmonary Fibrosis. We also try to predict links between molecular data and their respective fibrotic phenotypes. We finally construct phenotypic and molecular networks, visualize them and apply a clustering algorithm on each network to identify fibrotic diseases that are close to Idiopathic Pulmonary Fibrosis.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-77
Number of pages6
ISBN (Electronic)9781728146171
DOIs
StatePublished - Oct 2019
Event19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 - Athens, Greece
Duration: Oct 28 2019Oct 30 2019

Publication series

NameProceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019

Conference

Conference19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
CountryGreece
CityAthens
Period10/28/1910/30/19

Keywords

  • Biological networks
  • Clustering
  • Common biological pathways
  • Fibrotic diseases
  • Idiopathic Pulmonary Fibrosis
  • Network visualization

ASJC Scopus subject areas

  • Information Systems
  • Biomedical Engineering
  • Health Informatics

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