Tracking HIV Rebound following Latency Reversal Using Barcoded HIV.
Tracking HIV Rebound following Latency Reversal Using Barcoded HIV.
复制标题
使用条形码HIV跟踪潜伏期抑制后的HIV反弹。
DOI:
10.1016/j.xcrm.2020.100162
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发表时间:
2020-12-22
期刊:
影响因子:
--
通讯作者:
Zack JA
中科院分区:
文献类型:
--
作者:
Marsden MD;Zhang TH;Du Y;Dimapasoc M;Soliman MSA;Wu X;Kim JT;Shimizu A;Schrier A;Wender PA;Sun R;Zack JA
HIV latency prevents cure of infection with antiretroviral therapy (ART) alone. One strategy for eliminating latently infected cells involves the induction of viral protein expression via latency-reversing agents (LRAs), allowing killing of host cells by viral cytopathic effects or immune effector mechanisms. Here, we combine a barcoded HIV approach and a humanized mouse model to study the effects of a designed, synthetic protein kinase C modulating LRA on HIV rebound. We show that administration of this compound during ART results in a delay in rebound once ART is stopped. Furthermore, the rebounding virus appears composed of a smaller number of unique barcoded viruses than occurs in control-treated animals, suggesting that some reservoir cells that would have contributed virus to the rebound process are eliminated by LRA administration. These data support the use of barcoded virus to study rebound and suggest that LRAs may be useful in HIV cure efforts. A genetically barcoded HIV swarm has been constructed and characterized This swarm forms a latent reservoir in antiretroviral (ART)-treated humanized mice Administering an HIV latency-reversing agent (LRA) during ART delays rebound LRA administration during ART also reduces barcode diversity of rebounding virus Marsden et al. construct a barcoded HIV swarm to study HIV latency formation and rebound in humanized mice. They find that the administration of a PKC modulating HIV latency-reversing agent delays rebound and reduces the genetic diversity of rebounding virus when antiretroviral therapy is stopped, suggesting the reduction of the reservoir.
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DOI:
10.1073/pnas.94.24.13193
发表时间:
1997-11-25
影响因子:
11.1
作者:
Chun, TW;Stuyver, L;Fauci, AS
通讯作者:
Fauci, AS
影响因子:
56.9
作者:
MCCUNE, JM;NAMIKAWA, R;WEISSMAN, IL
通讯作者:
WEISSMAN, IL
影响因子:
32.4
作者:
Brooks, DG;Hamer, DH;Zack, JA
通讯作者:
Zack, JA
DOI:
10.1016/j.xcrm.2020.100037
发表时间:
2020-06-23
期刊:
Cell reports. Medicine
影响因子:
--
作者:
Pache L;Marsden MD;Teriete P;Portillo AJ;Heimann D;Kim JT;Soliman MSA;Dimapasoc M;Carmona C;Celeridad M;Spivak AM;Planelles V;Cosford NDP;Zack JA;Chanda SK
通讯作者:
Chanda SK
影响因子:
2.7
作者:
Marsden, Matthew D.;Zack, Jerome A.
通讯作者:
Zack, Jerome A.