2014
DOI: 10.1016/j.jtbi.2014.06.042
|View full text |Cite
|
Sign up to set email alerts
|

Stochastic population switch may explain the latent reservoir stability and intermittent viral blips in HIV patients on suppressive therapy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
21
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
8
1

Relationship

3
6

Authors

Journals

citations
Cited by 31 publications
(22 citation statements)
references
References 76 publications
1
21
0
Order By: Relevance
“…Some other models studying the dynamics of the latent reservoir and low-level viral load persistence during effective antiretroviral therapy can be found in refs. [2,14,48,50] and references cited therein. Reviews of mathematical models and implications for treatment can be found in refs.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Some other models studying the dynamics of the latent reservoir and low-level viral load persistence during effective antiretroviral therapy can be found in refs. [2,14,48,50] and references cited therein. Reviews of mathematical models and implications for treatment can be found in refs.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Among them are the activation of long-lived latent cells, occasional activation of the immune system due to vaccines or secondary infections, or intrinsic within host mechanisms [9, 6, 7, 8, 48, 49, 50]. Intrinsic mechanism in the within host infection dynamics may contribute to the formation of viral blips as presented in [50].…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, as a main contribution they presented that within host dynamics may also contribute to the formation of blips, apart from exogenous sources. On the other hand, other mathematical studies introduce exogenous sources (for example the activation of latent cells) to trigger the formation of a viral blip [9, 6, 7, 8, 48, 49]. In these models, the exogenous source is modeled as events that are discrete, random and with different strength.…”
Section: Discussionmentioning
confidence: 99%
“…This phenomenon has been attributed to changes in viral reservoir stability, and has been modeled using stochastic models (73). These blips might be responsible for the ongoing inflammation and damage observed in chronic infection, such that the infected patient's viremia is never truly stably undetectable.…”
Section: Introductionmentioning
confidence: 99%