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A systems biology approach to better understand human tick-borne diseases
Affiliation:1. Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Perth, WA, Australia;2. Systems Vaccinology, Telethon Kids Institute, Perth, WA, Australia;3. CAPES Foundation, Ministry of Education of Brazil, Brasilia-DF, Brazil;4. Centre for Molecular Medicine & Innovative Therapeutics, Health Futures Institute, Murdoch University, Perth, WA, Australia;5. Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, WA, Australia;6. Faculty of Health and Medical Sciences, Pathology & Laboratory Medicine, University of Western Australia, Perth, WA, Australia;7. Molecular Biology and Biochemistry, Simon Fraser University, British Columbia, Canada;1. Department of Biology, Truman State University, Kirksville, MO, United States;2. Centre for Planetary Health and Food Security, Griffith University, Southport, QLD, Australia;3. Department of Statistics, Truman State University, Kirksville, MO, United States;1. Australian Infectious Disease Research Centre, School of Biological Sciences, The University of Queensland, Brisbane, QLD 4072, Australia;1. Center for Immunity and Inflammation, Department of Medicine, New Jersey Medical School, Rutgers University, Newark, NJ, USA;1. China-USA Citrus Huanglongbing Joint Laboratory (A Joint Laboratory of The University of Florida’s Institute of Food and Agricultural Sciences and Gannan Normal University), National Navel Orange Engineering Research Center, Gannan Normal University, Ganzhou, Jiangxi 341000, China;2. Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu 210014, China;3. School of Plant Protection, Hainan University, Haikou, Hainan 570228, China;4. Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA
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 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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