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, Charlotte L. Oskam

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

Abstract

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 tickassociated 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.
Original languageEnglish
Pages (from-to)53-69
Number of pages17
JournalTrends in Parasitology
Volume39
Issue number1
DOIs
Publication statusPublished - Jan 2023

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