Virus Dataset Sample Info

> Dataset: 30024859 Search Result


Summary
Item Summary
Project 30024859
Virus Name HIV
Sample Number 26
Disease AIDS/HIV
Country United States

Sample
ID Sample ID Age Gender Origin Detail
1 1A5 36 M United States View
2 1A8 29 M United States View
3 1A10 44 M United States View
4 1A11 47 M United States View
5 1C1 50 M United States View
6 1C2 47 M United States View
7 1C4 38 M United States View
8 1C9 42 F United States View
9 1C10 33 F United States View
10 1C16 41 M United States View
11 1A105 29 M United States View
12 1A108 26 M United States View
13 1A112 41 M United States View
14 1A114 43 F United States View
15 1A115 28 M United States View
16 1C101 39 F United States View
17 1C104 41 M United States View
18 1C106 59 M United States View
19 1C107 52 M United States View
20 1C110 38 M United States View
21 1C112 50 F United States View
22 1C113 50 F United States View
23 1C114 44 F United States View
24 1C116 44 M United States View
25 1C117 45 M United States View
26 1C118 45 M United States View

Literature
Item Summary
PMID 30024859
Title HIV-1 Proviral Landscapes Distinguish Posttreatment Controllers From Noncontrollers
Abstract HIV posttreatment controllers (PTCs) represent a natural model of sustained HIV remission, but they are rare and little is known about their viral reservoir. We obtained 1,450 proviral sequences after near-full-length amplification for 10 PTCs and 16 posttreatment noncontrollers (NCs). Before treatment interruption, the median intact and total reservoir size in PTCs was 7-fold lower than in NCs, but the proportion of intact, defective, and total clonally expanded proviral genomes was not significantly different between the 2 groups. Quantification of total but not intact proviral genome copies predicted sustained HIV remission as 81% of NCs, but none of the PTCs had a total proviral genome greater than 4 copies per million peripheral blood mononuclear cells (PBMCs). The results highlight the restricted intact and defective HIV reservoir in PTCs and suggest that total proviral genome burden could act as the first biomarker for identifying PTCs. Total and defective but not intact proviral copy numbers correlated with levels of cell-associated HIV RNA, activated NK cell percentages, and both HIV-specific CD4+ and CD8+ responses. These results support the concept that defective HIV genomes can lead to viral antigen production and interact with both the innate and adaptive immune systems.