The Cultured TCM Model of HIV Latency

2022 ◽  
pp. 45-55
Author(s):  
Alberto Bosque
Keyword(s):  
Hiv Latency

Mechanism of HIV latency

2012 ◽  
Author(s):  
Warner Greene ◽  
Carine Van Lint
Keyword(s):  
Hiv Latency

Reactivation of HIV latency by ingenol esters isolated from Euphorbia Tirucalli

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
R Delvecchio ◽  
C Monteiro Abreu ◽  
D Pandeló ◽  
R Santana Aguiar ◽  
JA Gliński ◽  
...  
Keyword(s):  
Hiv Latency ◽  
Euphorbia Tirucalli

scholarly journals Multiply spliced HIV RNA is a predictive measure of virus production ex vivo and in vivo following reversal of HIV latency

EBioMedicine ◽  
2021 ◽  
Vol 65 ◽  
pp. 103241 ◽  
Author(s):  
Jennifer M. Zerbato ◽  
Georges Khoury ◽  
Wei Zhao ◽  
Matthew J. Gartner ◽  
Rachel D. Pascoe ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Virus Production ◽  
Hiv Latency ◽  
Hiv Rna

scholarly journals Non-invasive plasma glycomic and metabolic biomarkers of post-treatment control of HIV

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Leila B. Giron ◽  
Clovis S. Palmer ◽  
Qin Liu ◽  
Xiangfan Yin ◽  
Emmanouil Papasavvas ◽  
...  
Keyword(s):  
Treatment Interruption ◽  
Post Treatment ◽  
Machine Learning Algorithms ◽  
Virologic Suppression ◽  
Hiv Latency ◽  
Viral Rebound ◽  
Treatment Control ◽  
Non Invasive ◽  
Metabolic Biomarkers

AbstractNon-invasive biomarkers that predict HIV remission after antiretroviral therapy (ART) interruption are urgently needed. Such biomarkers can improve the safety of analytic treatment interruption (ATI) and provide mechanistic insights into the host pathways involved in post-ART HIV control. Here we report plasma glycomic and metabolic signatures of time-to-viral-rebound and probability-of-viral-remission using samples from two independent cohorts. These samples include a large number of post-treatment controllers, a rare population demonstrating sustained virologic suppression after ART-cessation. These signatures remain significant after adjusting for key demographic and clinical confounders. We also report mechanistic links between some of these biomarkers and HIV latency reactivation and/or myeloid inflammation in vitro. Finally, machine learning algorithms, based on selected sets of these biomarkers, predict time-to-viral-rebound with 74% capacity and probability-of-viral-remission with 97.5% capacity. In summary, we report non-invasive plasma biomarkers, with potential functional significance, that predict both the duration and probability of HIV remission after treatment interruption.

scholarly journals Evaluation of EED Inhibitors as a Class of PRC2-Targeted Small Molecules for HIV Latency Reversal

2020 ◽  
Vol 6 (7) ◽  
pp. 1719-1733 ◽  
Author(s):  
Anne-Marie W. Turner ◽  
Raghuvar Dronamraju ◽  
Frances Potjewyd ◽  
Katherine S. James ◽  
Daniel K. Winecoff ◽  
...  
Keyword(s):  
Small Molecules ◽  
Hiv Latency
Sign in / Sign up

Export Citation Format

Share Document