Cited by 23Bioinformatics and Genomic NetworksMultiple Sclerosis Research StudiesComputational Drug Discovery Methods

Identification of viral-mediated pathogenic mechanisms in neurodegenerative diseases using network-based approaches

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Onisiforou, Anna, Spyrou, George M·2021·Briefings in Bioinformatics

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Abstract

During the course of a viral infection, virus–host protein–protein interactions (PPIs) play a critical role in allowing viruses to replicate and survive within the host. These interspecies molecular interactions can lead to viral-mediated perturbations of the human interactome causing the generation of various complex diseases. Evidences suggest that viral-mediated perturbations are a possible pathogenic etiology in several neurodegenerative diseases (NDs). These diseases are characterized by chronic progressive degeneration of neurons, and current therapeutic approaches provide only mild symptomatic relief; therefore, there is unmet need for the discovery of novel therapeutic interventions. In this paper, we initially review databases and tools that can be utilized to investigate viral-mediated perturbations in complex NDs using network-based analysis by examining the interaction between the ND-related PPI disease networks and the virus–host PPI network. Afterwards, we present our theoretical-driven integrative network-based bioinformatics approach that accounts for pathogen–genes–disease-related PPIs with the aim to identify viral-mediated pathogenic mechanisms focusing in multiple sclerosis (MS) disease. We identified seven high centrality nodes that can act as disease communicator nodes and exert systemic effects in the MS-enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways network. In addition, we identified 12 KEGG pathways, 5 Reactome pathways and 52 Gene Ontology Immune System Processes by which 80 viral proteins from eight viral species might exert viral-mediated pathogenic mechanisms in MS. Finally, our analysis highlighted the Th17 differentiation pathway, a disease communicator node and part of the 12 underlined KEGG pathways, as a key viral-mediated pathogenic mechanism and a possible therapeutic target for MS disease.

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  • Infections with neurotropic pathogens, including alphaviruses, contribute to the development of neurodegenerative diseases.

    “Evidence suggests infections with neurotropic pathogens, including alphaviruses, contribute to the development of neurodegenerative diseases (Onisiforou and Spyrou, 2021).”

    From Arbovirus infection increases the risk for the development of neurodegenerative disease pathology in the murine model (2024) · cites this paper as Onisiforou and Spyrou, 2021

    The Introduction says viral infections are possible risk factors for several neurodegenerative diseases and that certain neurotropic viruses may be involved in their development. But the paper does not identify alphaviruses as an example: its Table 4 lists them in connection with rheumatoid arthritis, not a neurodegenerative disease. (LLM, conf=0.88)

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Cited by

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Authors
Onisiforou, A., & Spyrou, G. M.
Affiliations
The Cyprus Institute of Neurology & Genetics - Postgraduate Education (CY)
Corresponding author
Spyrou, George M
Venue
Briefings in Bioinformatics
Published
2021-05-10
Volume
22
Issue
6
ISSN
  • 1467-5463 (ISSN-L)
  • 1477-4054
OpenAlex
W3163530683
Cited by
23
References
246
Citations by year
2026: 3 · 2025: 8 · 2024: 6 · 2023: 2 · 2022: 3 · 2021: 1
FWCI
0.94
Type
journal article
Language
en
Open access
Locations
  • Briefings in Bioinformatics (publishedVersion, cc-by-nc)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
  • Telethon Foundation
  • Holland Research School of Molecular Chemistry
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
neurodegenerative diseases, multiple sclerosis, disease networks, network centrality, KEGG pathways, Th17 cell differentiation, immune system process, therapeutic target, viral proteins
MeSH terms
Humans, Models, Biological, Multiple Sclerosis, Viruses, Virus Physiological Phenomena, Host-Pathogen Interactions, Protein Interaction Maps, Gene Ontology

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