Evidence map›Paper›PMID 24747880›Full record

ArticleJournal of visualized experiments : JoVE2014

Rapid screening of HIV reverse transcriptase and integrase inhibitors.

Steven J Smith, Stephen H Hughes

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. ACS infectious diseases · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Steven J SmithHIV Drug Resistance Program, National Cancer Institute.
Stephen H HughesHIV Drug Resistance Program, National Cancer Institute; hughesst@mail.nih.gov.

Funding

Structure and Function of HIV-1 Reverse TranscriptaseZIABC010481 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HUGHES, STEPHEN H · 2009 to 2022
$15.7M
IntegraseZIABC011426 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HUGHES, STEPHEN H · 2012 to 2022
$14.0M
Intramural NIH HHS
6 · The paper itself

Abstract

Although a number of anti HIV drugs have been approved, there are still problems with toxicity and drug resistance. This demonstrates a need to identify new compounds that can inhibit infection by the common drug resistant HIV-1 strains with minimal toxicity. Here we describe an efficient assay that can be used to rapidly determine the cellular cytotoxicity and efficacy of a compound against WT and mutant viral strains. The desired target cell line is seeded in a 96-well plate and, after a 24 hr incubation, serially dilutions of the compounds to be tested are added. No further manipulations are necessary for cellular cytotoxicity assays; for anti HIV assays a predetermined amount of either a WT or drug resistant HIV-1 vector that expresses luciferase is added to the cells. Cytotoxicity is measured by using an ATP dependent luminescence assay and the impact of the compounds on infectivity is measured by determining the amount of luciferase in the presence or the absence of the putative inhibitors. This screening assay takes 4 days to complete and multiple compounds can be screened in parallel. Compounds are screened in triplicate and the data are normalized to the infectivity/ATP levels in absence of target compounds. This technique provides a quick and accurate measurement of the efficacy and toxicity of potential anti HIV compounds.

Indexed as

Cell Line, TumorDrug Evaluation, PreclinicalHEK293 CellsHIV-1HIV IntegraseHIV Integrase InhibitorsHIV Reverse TranscriptaseHumansInhibitory Concentration 50Reverse Transcriptase InhibitorsHIV IntegraseHIV Integrase InhibitorsHIV Reverse TranscriptaseReverse Transcriptase Inhibitors

Identifiers

PMID24747880
PMCPMC4165338

What OpenQuestion holds

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Registered trials

None linked

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.