Title |
Challenges and Opportunities for T-Cell-Mediated Strategies to Eliminate HIV Reservoirs
|
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Published in |
Frontiers in immunology, October 2015
|
DOI | 10.3389/fimmu.2015.00506 |
Pubmed ID | |
Authors |
Mark A. Brockman, R. Brad Jones, Zabrina L. Brumme |
Abstract |
HIV's ability to establish latent reservoirs of reactivation-competent virus is the major barrier to cure. "Shock and kill" methods consisting of latency-reversing agents (LRAs) followed by elimination of reactivating cells through cytopathic effects are under active development. However, the clinical efficacy of LRAs remains to be established. Moreover, recent studies indicate that reservoirs may not be reduced efficiently by either viral cytopathic or CD8(+) T-cell-mediated mechanisms. In this perspective, we highlight challenges to T-cell-mediated elimination of HIV reservoirs, including characteristics of responding T cells, aspects of the cellular reservoirs, and properties of the latent virus itself. We also discuss potential strategies to overcome these challenges by targeting the antiviral activity of T cells toward appropriate viral antigens following latency. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 2% |
Denmark | 1 | 2% |
Germany | 1 | 2% |
Canada | 1 | 2% |
Unknown | 56 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 20% |
Researcher | 11 | 18% |
Student > Bachelor | 7 | 12% |
Student > Master | 6 | 10% |
Student > Doctoral Student | 5 | 8% |
Other | 12 | 20% |
Unknown | 7 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 19 | 32% |
Biochemistry, Genetics and Molecular Biology | 12 | 20% |
Agricultural and Biological Sciences | 10 | 17% |
Medicine and Dentistry | 5 | 8% |
Computer Science | 2 | 3% |
Other | 3 | 5% |
Unknown | 9 | 15% |