Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2016 Aug 25;12(8):e1005740.
doi: 10.1371/journal.ppat.1005740. eCollection 2016 Aug.

Modeling of Experimental Data Supports HIV Reactivation from Latency after Treatment Interruption on Average Once Every 5-8 Days

Affiliations
Comment

Modeling of Experimental Data Supports HIV Reactivation from Latency after Treatment Interruption on Average Once Every 5-8 Days

Mykola Pinkevych et al. PLoS Pathog. .
No abstract available

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Estimating HIV reactivation rate using different models.
The figure compares the fitting of the best-fit reactivation rate to each of the four cohorts using the original simple two-parameter model (panels A–D) as well as the more complex model proposed by Hill et al. that incorporates multiple reactivation events and a distribution in reactivation rates. The latter is fitted using a washout time of 0 days and either Hill et al.’s proposed slow viral growth rate (g = 0.4/day) (panels E–H) or a more realistic growth rate estimated from cohort 1 (g = 0.8/day) (panels I–L). In each case, the initial viral load (V 0) and the mean and standard deviation of the reactivation rate is fitted. The average time between reactivation events is indicated for each cohort. Only for cohort 3, with a low growth rate (panel g), is estimated reactivation rate more frequent than once every 2 days. *Note: although a distribution in reactivation rates was fitted, the best fit model had a standard deviation of zero.
Fig 2
Fig 2. Frequency of HIV reactivation from latency estimated using different models: The mean frequency of reactivation estimated using the original model (red circles, corresponding to panels A–D of Fig 1), Hill’s model with slow growth rate (black squares, panels E–H of Fig 1), or Hill’s model with growth rate estimated from cohort 1 (open black circles, I–L of Fig 1) is shown.
The frequency of reactivation estimated in Pinkevych et al. [2] is shown as dashed lines.

Comment on

Similar articles

Cited by

References

    1. Hill AL, Rosenbloom DIS, Siliciano JD, Siliciano RF. Insufficient evidence for rare activation of latent HIV in the absence of reservoir-reducing interventions. PLoS Pathog. 2016. 10.1371/journal.ppat.1005679 - DOI - PMC - PubMed
    1. Pinkevych M, Cromer D, Tolstrup M, Grimm AJ, Cooper DA, Lewin SR, et al. HIV Reactivation from Latency after Treatment Interruption Occurs on Average Every 5–8 Days—Implications for HIV Remission. PLoS Pathog. 2015;11(7):e1005000 10.1371/journal.ppat.1005000 - DOI - PMC - PubMed
    1. Pennings PS. Standing genetic variation and the evolution of drug resistance in HIV. PLoS Comput Biol. 2012;8(6):e1002527 10.1371/journal.pcbi.1002527 - DOI - PMC - PubMed
    1. Hill AL, Rosenbloom DIS, Fu F, Nowak MA, Siliciano RF. Predicting the outcomes of treatment to eradicate the latent reservoir for HIV-1. Proceedings of the National Academy of Sciences. 2014;111(43):13475–80. - PMC - PubMed
    1. Rosenbloom DIS, Hill AL, Rabi SA, Siliciano RF, Nowak MA. Antiretroviral dynamics determines HIV evolution and predicts therapy outcome. Nat Med. 2012;18(9):1378–85. - PMC - PubMed

Publication types

LinkOut - more resources