ReviewCurrent HIV/AIDS reports2012
New tools for quantifying HIV-1 reservoirs: plasma RNA single copy assays and beyond.
Review in Current HIV/AIDS reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed.
- Rapid systemic spread and minimal immune responses following SIVsab intrarectal transmission in African green monkeys.JCI insight · 2024Article
- High Genetic Diversity of HIV-1 and Active Transmission Clusters among Male-to-Male Sexual Contacts (MMSCs) in Zhuhai, China.Viruses · 2023Article
- Association of Viral Persistence and Atherosclerosis in Adults With Treated HIV Infection.JAMA network open · 2020Article
- Review
- Identification, Localization, and Quantification of HIV Reservoirs Using Microscopy.Current protocols in cell biology · 2019Article
- HIV Infected T Cells Can ProliferateFrontiers in microbiology · 2019Article
- Current views on HIV-1 latency, persistence, and cure.Folia microbiologica · 2017Review
- Multi-dose Romidepsin Reactivates Replication Competent SIV in Post-antiretroviral Rhesus Macaque Controllers.PLoS pathogens · 2016Article
- HIV Transmission Risk Persists During the First 6 Months of Antiretroviral Therapy.Journal of acquired immune deficiency syndromes (1999) · 2016Article
- What Integration Sites Tell Us about HIV Persistence.Cell host & microbe · 2016Review
- Animal Models for HIV Cure Research.Frontiers in immunology · 2016Review
- Simian Immunodeficiency Virus SIVsab Infection of Rhesus Macaques as a Model of Complete Immunological Suppression with Persistent Reservoirs of Replication-Competent Virus: Implications for Cure Research.Journal of virology · 2015Article
- Increased sample volume and use of quantitative reverse-transcription PCR can improve prediction of liver-to-blood inoculum size in controlled human malaria infection studies.Malaria journal · 2015Article
- Comparative performances of HIV-1 RNA load assays at low viral load levels: results of an international collaboration.Journal of clinical microbiology · 2014Article
- Cell-associated HIV RNA: a dynamic biomarker of viral persistence.Retrovirology · 2013Review
- Modeling uncertainty in single-copy assays for HIV.Journal of clinical microbiology · 2012Article
- Towards an HIV cure: a global scientific strategy.Nature reviews. Immunology · 2012Review
- Nonhuman primate models for HIV cure research.PLoS pathogens · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Quantification of plasma HIV-1 RNA below the limit of FDA-approved assays by a single copy quantitative PCR assays (SCA) has provided significant insights into HIV-1 persistence despite potent antiretroviral therapy as well as a means to assess the impact of therapeutic strategies, such as treatment intensification, on residual viremia. In this review, we discuss insights gained from plasma HIV-1 RNA SCA and highlight the need for additional assays to characterize better the cellular and tissue reservoirs of HIV-1. Accurate, reproducible, and sensitive assays to quantify HIV-1 reservoirs, before and after therapeutic interventions, are essential tools in the quest for a cure of HIV-1 infection.
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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.