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A systems biology approach to better understand human tick-borne diseases
Journal article   Peer reviewed

A systems biology approach to better understand human tick-borne diseases

Wenna Lee, Amanda D. Barbosa, Peter J. Irwin, Andrew Currie, Tobias R. Kollmann, Miles Beaman, Amy H. Lee and Charlotte L. Oskam
Trends in parasitology, Vol.39(1), pp.53-69
01/2023
PMID: 36400674
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Abstract

emerging diseases multi-dimensional network biology systems biology tick-borne diseases tick–host–pathogen
Tick-borne diseases (TBDs) are a growing global health concern. Despite extensive studies, ill-defined tick-associated pathologies remain with unknown aetiologies. Human immunological responses after tick bite, and inter-individual variations of immune-response phenotypes, are not well characterised. Current reductive experimental methodologies limit our understanding of more complex tick-associated illness, which results from the interactions between the host, tick, and microbes. An unbiased, systems-level integration of clinical metadata and biological host data - obtained via transcriptomics, proteomics, and metabolomics - offers to drive the data-informed generation of testable hypotheses in TBDs. Advanced computational tools have rendered meaningful analysis of such large data sets feasible. This review highlights the advantages of integrative system biology approaches as essential for understanding the complex pathobiology of TBDs.

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UN Sustainable Development Goals (SDGs)

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#3 Good Health and Well-Being

Source: InCites

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Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.258 Zoonotic Diseases
1.258.227 Tick-borne Pathogens
Web Of Science research areas
Parasitology
ESI research areas
Microbiology
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