| Title |
Impact of pre-adapted HIV transmission
|
|---|---|
| Published in |
Nature Medicine, May 2016
|
| DOI | 10.1038/nm.4100 |
| Pubmed ID | |
| Authors |
Jonathan M Carlson, Victor Y Du, Nico Pfeifer, Anju Bansal, Vincent Y F Tan, Karen Power, Chanson J Brumme, Anat Kreimer, Charles E DeZiel, Nicolo Fusi, Malinda Schaefer, Mark A Brockman, Jill Gilmour, Matt A Price, William Kilembe, Richard Haubrich, Mina John, Simon Mallal, Roger Shapiro, John Frater, P Richard Harrigan, Thumbi Ndung'u, Susan Allen, David Heckerman, John Sidney, Todd M Allen, Philip J R Goulder, Zabrina L Brumme, Eric Hunter, Paul A Goepfert |
| Abstract |
Human leukocyte antigen class I (HLA)-restricted CD8(+) T lymphocyte (CTL) responses are crucial to HIV-1 control. Although HIV can evade these responses, the longer-term impact of viral escape mutants remains unclear, as these variants can also reduce intrinsic viral fitness. To address this, we here developed a metric to determine the degree of HIV adaptation to an HLA profile. We demonstrate that transmission of viruses that are pre-adapted to the HLA molecules expressed in the recipient is associated with impaired immunogenicity, elevated viral load and accelerated CD4(+) T cell decline. Furthermore, the extent of pre-adaptation among circulating viruses explains much of the variation in outcomes attributed to the expression of certain HLA alleles. Thus, viral pre-adaptation exploits 'holes' in the immune response. Accounting for these holes may be key for vaccine strategies seeking to elicit functional responses from viral variants, and to HIV cure strategies that require broad CTL responses to achieve successful eradication of HIV reservoirs. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 26% |
| France | 2 | 6% |
| United Kingdom | 2 | 6% |
| Sweden | 1 | 3% |
| South Africa | 1 | 3% |
| Mexico | 1 | 3% |
| Ukraine | 1 | 3% |
| Finland | 1 | 3% |
| New Zealand | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 74% |
| Scientists | 4 | 13% |
| Science communicators (journalists, bloggers, editors) | 3 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| India | 1 | <1% |
| Unknown | 144 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 21% |
| Student > Ph. D. Student | 27 | 18% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 14 | 10% |
| Professor | 9 | 6% |
| Other | 29 | 20% |
| Unknown | 22 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 25% |
| Immunology and Microbiology | 25 | 17% |
| Biochemistry, Genetics and Molecular Biology | 22 | 15% |
| Medicine and Dentistry | 22 | 15% |
| Engineering | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 27 | 18% |