DNA-based vaccines against malaria: status and promise of the Multi-Stage Malaria DNA Vaccine Operation

Doolan, Denise L., and Hoffman, Stephen L. (2001) DNA-based vaccines against malaria: status and promise of the Multi-Stage Malaria DNA Vaccine Operation. International Journal for Parasitology, 31 (8). pp. 753-762.

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The introduction of DNA vaccine technology has facilitated an unprecedented multi-antigen approach to developing an effective vaccine against complex pathogens such as the Plasmodium spp. parasites that cause malaria. We have established the capacity of DNA vaccines encoding Plasmodium antigens to induce CD8⁺ cytotoxic T lymphocyte and interferon-γ responses in mice, monkeys and humans. However, like others, we have found that the first or second generation DNA vaccines on their own are not optimal, and have demonstrated the potential of heterologous prime/boost immunisation strategies involving priming with DNA and boosting with poxvirus or recombinant protein in adjuvant. In this review, we summarise the current status and promise of our programmatic efforts to develop a DNA-based vaccine against malaria, our Multi-Stage Malaria DNA Vaccine Operation, and illustrate the transition of promising developments in the laboratory to clinical assessment in humans.

Item ID: 42763
Item Type: Article (Research - C1)
ISSN: 1879-0135
Keywords: malaria; plasmodium; DNA vaccine; clinical trial; prime/boost; immune enhancement
Funders: Naval Medical Research and Development Command (NMRDC), U.S. Agency for International Development (AID), Office of Naval Research Advanced Technology Demonstration (ONRATD)
Projects and Grants: NMRDC 61102A.S13.F.A0009, NMRDC 62787A.870.F.A0010, NMRDC 63002A.810.F.A0011,, NMRDC 603792N.01889.135.A0039 , NMRDC 60000.000.000.A0062
Date Deposited: 21 Mar 2016 05:28
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1107 Immunology > 110799 Immunology not elsewhere classified @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 100%
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