alexa Toll-Like Receptors and Malaria – Sensing and Suscepti
ISSN: 2329-891X

Journal of Tropical Diseases & Public Health
Open Access

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Review Article

Toll-Like Receptors and Malaria – Sensing and Susceptibility

Emily M Eriksson1,2*, Natália G Sampaio1,2, Louis Schofield1,2

1Walter and Eliza Hall Institute of Medical Research, Division of Infection and Immunity, Parkville, VIC 3052 Australia

2The University of Melbourne, Department of Medical Biology, Parkville, VIC 3052 Australia

*Corresponding Author:
Emily M Eriksson
The Walter and Eliza Hall Institute of Medical Research
Division of Infection and Immunity
The University of Melbourne
Department of Medical Biology Parkville
VIC 3052 Australia
Tel: 61393452644
Fax: 61393470852
E-mail: [email protected]

Received Date: November 29, 2013; Accepted Date: December 18, 2013; Published Date: December 20, 2013

Citation: Eriksson EM, Sampaio NG, Schofield L (2013) Toll-Like Receptors and Malaria – Sensing and Susceptibility. J Trop Dis 2:126. doi: 10.4172/2329-891X.1000126

Copyright: © 2013 Eriksson EM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Toll-Like Receptors (TLRs) are important mediators of the innate immune response to pathogens, including malaria. Of the ten human and twelve mouse TLRs, TLR2, TLR4, TLR7 and TLR9 are known to detect malarial antigens and induce anti-malarial immune responses. Multiple immune cell populations express TLRs, and much has been done to elucidate the TLR-mediated immune response to malaria infections, in particular the involvement of TLRs in severe malaria pathogenesis. Here we review the role TLRs play in parasite detection, immune response, and severe malaria, with a focus on recent findings. Furthermore, the use of TLR ligands as malarial vaccine adjuvants is discussed, as this could have great potential in improving efficacy of vaccine candidates

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