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抗 HIV 增殖治疗:复利方法。

Anti-proliferative therapy for HIV cure: a compound interest approach.

机构信息

Fred Hutchinson Cancer Research Center, Vaccine and Infectious Diseases Division, Seattle, WA, 98109, USA.

University of Washington, Department of Medicine, Seattle, WA, 98195, USA.

出版信息

Sci Rep. 2017 Jun 21;7(1):4011. doi: 10.1038/s41598-017-04160-3.

DOI:10.1038/s41598-017-04160-3
PMID:28638104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5479830/
Abstract

In the era of antiretroviral therapy (ART), HIV-1 infection is no longer tantamount to early death. Yet the benefits of treatment are available only to those who can access, afford, and tolerate taking daily pills. True cure is challenged by HIV latency, the ability of chromosomally integrated virus to persist within memory CD4 T cells in a non-replicative state and activate when ART is discontinued. Using a mathematical model of HIV dynamics, we demonstrate that treatment strategies offering modest but continual enhancement of reservoir clearance rates result in faster cure than abrupt, one-time reductions in reservoir size. We frame this concept in terms of compounding interest: small changes in interest rate drastically improve returns over time. On ART, latent cell proliferation rates are orders of magnitude larger than activation and new infection rates. Contingent on subtypes of cells that may make up the reservoir and their respective proliferation rates, our model predicts that coupling clinically available, anti-proliferative therapies with ART could result in functional cure within 2-10 years rather than several decades on ART alone.

摘要

在抗逆转录病毒疗法(ART)时代,HIV-1 感染不再等同于早期死亡。然而,治疗的益处仅适用于那些能够获得、负担得起和耐受每日服用药物的人。真正的治愈受到 HIV 潜伏期的挑战,即整合到染色体中的病毒在非复制状态下在记忆性 CD4 T 细胞中持续存在并在停止 ART 时激活的能力。我们使用 HIV 动力学的数学模型表明,提供适度但持续增强储库清除率的治疗策略比一次性减少储库大小更能更快地治愈。我们从复利的角度来阐述这个概念:利率的微小变化会极大地提高随着时间的推移的回报。在 ART 上,潜伏细胞的增殖率比激活和新感染率大几个数量级。取决于可能构成储库的细胞亚型及其各自的增殖率,我们的模型预测,将临床可用的抗增殖疗法与 ART 结合使用,可能在 2-10 年内实现功能性治愈,而不是单独使用 ART 几十年。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/295b8cfc1b84/41598_2017_4160_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/38823b5809a9/41598_2017_4160_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/686dc8704c15/41598_2017_4160_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/7a2ad72e48ce/41598_2017_4160_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/99797b8f558b/41598_2017_4160_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/65f47b7fcd8b/41598_2017_4160_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/295b8cfc1b84/41598_2017_4160_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/38823b5809a9/41598_2017_4160_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/686dc8704c15/41598_2017_4160_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/7a2ad72e48ce/41598_2017_4160_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/99797b8f558b/41598_2017_4160_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/65f47b7fcd8b/41598_2017_4160_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/938d/5479830/295b8cfc1b84/41598_2017_4160_Fig6_HTML.jpg

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