Dataset Information

Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses.

ABSTRACT: Pathogenic mosquito-borne viruses are a serious public health issue in tropical and subtropical regions and are increasingly becoming a problem in other climate zones. Drug repositioning is a rapid, pharmaco-economic approach that can be used to identify compounds that target these neglected tropical diseases. We have applied a computational drug repositioning method to five mosquito-borne viral infections: dengue virus (DENV), zika virus (ZIKV), West Nile virus (WNV), Japanese encephalitis virus (JEV) and Chikungunya virus (CHIV). We identified signature molecules and pathways for each virus infection based on omics analyses, and determined 77 drug candidates and 146 proteins for those diseases by using a filtering method. Based on the omics analyses, we analyzed the relationship among drugs, target proteins and the five viruses by projecting the signature molecules onto a human protein-protein interaction network. We have classified the drug candidates according to the degree of target proteins in the protein-protein interaction network for the five infectious diseases.

SUBMITTER: Amemiya T

PROVIDER: S-EPMC8115341 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses.

Amemiya Takayuki T Horimoto Katsuhisa K Fukui Kazuhiko K

Scientific reports 20210512 1

Pathogenic mosquito-borne viruses are a serious public health issue in tropical and subtropical regions and are increasingly becoming a problem in other climate zones. Drug repositioning is a rapid, pharmaco-economic approach that can be used to identify compounds that target these neglected tropical diseases. We have applied a computational drug repositioning method to five mosquito-borne viral infections: dengue virus (DENV), zika virus (ZIKV), West Nile virus (WNV), Japanese encephalitis viru ...[more]

PMID: 33980888

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Project description:BackgroundThe emergence of mosquito-borne viruses (MBVs) in Europe emphasizes the need for preparedness and response plans. This requires knowledge integration and collaboration across the human, animal, vector, and environmental health domains, aligning with the One Health approach. Despite the importance of a One Health approach, engaging stakeholders from each domain remains challenging. This study aims to identify stakeholders in the field of preparedness and response to MBVs in the Netherlands and map collaborations, knowledge- and information-sharing between these stakeholders, their domains and governance levels. In addition, we aim to identify bottlenecks in these networks and uncover underlying reasons.MethodsThis study combined stakeholder- and social network analysis. Stakeholders were identified through document analysis and snowballing. Semi-structured interviews were conducted with eligible stakeholders. Stakeholders' collaborations, dependencies, and their roles in MBV preparedness and response were discussed. Interviewees not currently active in MBV policy were given the opportunity to share their experiences regarding 'zoonotic infectious diseases' or 'healthy living environments'. Interview transcripts were coded to identify collaborations and information- and knowledge sharing between stakeholders. Stakeholders were categorized into domains (animal, vector, human, environment, other) and governance levels (international, national, regional, local, other). Networks were visualized and analysed using Cytoscape and R.ResultsStakeholder analysis identified 87 stakeholders who influence or are (likely to be) influenced by MBV preparedness and response, of whom 47 were identified as having an active role in the MBV interaction network. Network visualisation unveiled 153 connections among these 47 stakeholders, encompassing all domains and governance levels but showed underrepresentation of regional, local and environmental stakeholders. Transcript analysis revealed low urgency for MBVs among these stakeholders as an underlying reason for their underrepresentation in the MBV interaction network. Analysis and visualisation of the networks for the other two themes ("healthy living environment" and "(zoonotic) infectious diseases") did show multiple connections with environmental and regional/local stakeholders.ConclusionsThe underrepresentation of the environment domain, regional and local stakeholders in the MBV preparedness and response network underlines the remaining challenge of including all relevant stakeholders. We recommend utilising existing collaborations, identified in this study, and central stakeholders to overcome these bottlenecks.

Dataset Information

Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses.

Publications

Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses.

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