Deciphering host immunity to malaria using systems immunology

Loiseau, Claire, Cooper, Martha M., and Doolan, Denise L. (2019) Deciphering host immunity to malaria using systems immunology. Immunological Reviews, 293. pp. 115-143.

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Abstract

A century of conceptual and technological advances in infectious disease research has changed the face of medicine. However, there remains a lack of effective interventions and a poor understanding of host immunity to the most significant and complex pathogens, including malaria. The development of successful interventions against such intractable diseases requires a comprehensive understanding of host-pathogen immune responses. A major advance of the past decade has been a paradigm switch in thinking from the contemporary reductionist (gene-by-gene or protein-by-protein) view to a more holistic (whole organism) view. Also, a recognition that host-pathogen immunity is composed of complex, dynamic interactions of cellular and molecular components and networks that cannot be represented by any individual component in isolation. Systems immunology integrates the field of immunology with omics technologies and computational sciences to comprehensively interrogate the immune response at a systems level. Herein, we describe the system immunology toolkit and report recent studies deploying systems-level approaches in the context of natural exposure to malaria or controlled human malaria infection. We contribute our perspective on the potential of systems immunity for the rational design and development of effective interventions to improve global public health.

Item ID: 60917
Item Type: Article (Research - C1)
ISSN: 1600-065x
Keywords: controlled infection, experimental infection, immunity, malaria, naturally acquired immunity, omics, Plasmodium, systems immunology
Copyright Information: © 2019 John Wiley & Sons.
Funders: James Cook University, NHMRC Principal Research Fellowship
Projects and Grants: NHMRC Grant number 1137285
Date Deposited: 04 Feb 2020 22:06
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1107 Immunology > 110799 Immunology not elsewhere classified @ 50%
06 BIOLOGICAL SCIENCES > 0601 Biochemistry and Cell Biology > 060114 Systems Biology @ 50%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 100%
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