Evidence map›Paper›PMID 26090753›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2015

Increased Sensitivity of HIV-1 p24 ELISA Using a Photochemical Signal Amplification System.

Simon Bystryak, Rasa Santockyte

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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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.

Simon BystryakAllied Innovative Systems, Hillsborough, NJ (Santockyte is now with Bristol-Myers Squibb, Princeton, NJ).
Rasa Santockyte

Funding

Ultra-sensitive method for HIV p24 antigen detectionR44AI083169 · NIAID · ALLIED INNOVATIVE SYSTEMS, LLC · PI BYSTRYAK, SIMON · 2009 to 2017
$2.3M
NIAID NIH HHS R44 AI083169NIAID NIH HHS R44AI083169
6 · The paper itself

Abstract

backgroundIn this study we describe a photochemical signal amplification method (PSAM) for increasing of the sensitivity of enzyme-linked immunosorbent assay (ELISA) for determination of HIV-1 p24 antigen. The photochemical signal amplification method is based on an autocatalytic photochemical reaction of a horseradish peroxidase (HRP) substrate, orthophenylenediamine (OPD).

methodsTo compare the performance of PSAM-boosted ELISA with a conventional colorimetric ELISA for determination of HIV-1 p24 antigen we employed a PerkinElmer HIV-1 p24 ELISA kit, using conventional ELISA alongside ELISA + PSAM.

resultsIn the present study, we show that PSAM technology allows one to increase the analytical sensitivity and dynamic range of a commercial HIV-1 p24 ELISA kit, with and without immune-complex disruption, by a factor of approximately 40-fold.

conclusionsELISA + PSAM is compatible with commercially available microtiter plate readers, requires only an inexpensive illumination device, and the PSAM amplification step takes no longer than 15 min. This method can be used for both commercially available and in-house ELISA tests, and has the advantage of being considerably simpler and less costly than alternative signal amplification methods. This method can be used for both commercially available and in-house ELISA tests, and has the advantage of being considerably simpler and less costly than alternative signal amplification methods.

Indexed as

Enzyme-Linked Immunosorbent AssayHIV-1HIV Core Protein p24HIV InfectionsHorseradish PeroxidaseHumansPhenylenediaminesPhotochemistrySensitivity and Specificity1,2-diaminobenzeneHIV Core Protein p24Horseradish PeroxidasePhenylenediamines

Identifiers

PMID26090753
PMCPMC4967528

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Registered trials

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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.