ReviewiScience2023
Understanding latent HIV-1 reservoirs through host genomics approaches.
Review in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?Journal of virology · 2026Review
- From network biology to immunity: potential longitudinal biomarkers for targeting the network topology of the HIV reservoir.Journal of translational medicine · 2025Review
- Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction.MethodsX · 2025Article
- Distinguishable topology of the task-evoked functional genome networks in HIV-1 reservoirs.iScience · 2024Article
- Viral genome sequencing methods: benefits and pitfalls of current approaches.Biochemical Society transactions · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetically intact HIV-1 proviruses are a major concern with regard to curing infection because they cause viral rebound after the cessation of antiretroviral therapy. However, intact proviruses are not prevalent in HIV-1 reservoirs. As such, it is essential to precisely determine the position of these proviruses before putting forward a better antiretroviral cure. Recently, a revised HIV-1 deeply latent reservoir concept has been proposed, stating that the progress of the establishment of HIV-1 reservoirs is influenced by immune-mediated selection during the course of infection. This selection force leads to the persistence of genetically intact proviruses as those with the best fit to avoid clearance. This hypothesis refreshes our understanding of HIV-1 latent reservoirs. For this reason, we reviewed current studies relevant to this theme and provide our perspectives to reinforce the overall understanding of HIV-1 latency in the context of the host genome.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.