Evidence map›Paper›PMID 18510425›Full record

ArticleNanomedicine (London, England)2008

Detection of HIV-1 p24 Gag in plasma by a nanoparticle-based bio-barcode-amplification method.

Eun-Young Kim, Jennifer Stanton, Bette T M Korber, Kendall Krebs, Derek Bogdan, Kevin Kunstman, Samuel Wu, John P Phair, Chad A Mirkin, Steven M Wolinsky

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Nanomedicine (London, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

26 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Materials Science in the time of Coronavirus.Journal of materials science · 2020
    Article
  6. Review
  7. Biomedical applications of nanoflares: Targeted intracellular fluorescence probes.Nanomedicine : nanotechnology, biology, and medicine · 2019
    Review
  8. Review
  9. Detection ofInternational journal of nanomedicine · 2018
    Article
  10. Review
  11. Review
  12. Increased Sensitivity of HIV-1 p24 ELISA Using a Photochemical Signal Amplification System.Journal of acquired immune deficiency syndromes (1999) · 2015
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

10 authors at 3 institutions in 1 country.

Eun-Young KimDivision of Infectious Diseases, The Feinberg School of Medicine, Northwestern University, 676 North St. Clair, Chicago, IL 60611, USA.
Jennifer Stanton
Bette T M Korber
Kendall Krebs
Derek Bogdan
Kevin Kunstman
Samuel Wu
John P Phair
Chad A Mirkin
Steven M Wolinsky
Northwestern University · USInternational Institute for NanotechnologyLos Alamos National Laboratory · US

Funding

Detection of Category A Pathogens by Gold NanoparticlesU01AI061297 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLINSKY, STEVEN M · 2004 to 2007
$4.7M
DETECTION OF HIV TARGETS BY GOLD NANOPARTICLE PROBESR01AI052764 · NIAID · NORTHWESTERN UNIVERSITY · PI WOLINSKY, STEVEN M · 2002 to 2004
$795k
NIAID NIH HHS R01 AI052764NIAID NIH HHS U01 AI061297
6 · The paper itself

Abstract

backgroundDetection of HIV-1 in patients is limited by the sensitivity and selectivity of available tests. The nanotechnology-based bio-barcode-amplification method offers an innovative approach to detect specific HIV-1 antigens from diverse HIV-1 subtypes. We evaluated the efficacy of this protein-detection method in detecting HIV-1 in men enrolled in the Chicago component of the Multicenter AIDS Cohort Study (MACS).

methodsThe method relies on magnetic microparticles with antibodies that specifically bind the HIV-1 p24 Gag protein and nanoparticles that are encoded with DNA and antibodies that can sandwich the target protein captured by the microparticle-bound antibodies. The aggregate sandwich structures are magnetically separated from solution, and treated to remove the conjugated barcode DNA. The DNA barcodes (hundreds per target) were identified by a nanoparticle-based detection method that does not rely on PCR.

resultsOf 112 plasma samples from HIV-1-infected subjects, 111 were positive for HIV-1 p24 Gag protein (range: 0.11-71.5 ng/ml of plasma) by the bio-barcode-amplification method. HIV-1 p24 Gag protein was detected in only 23 out of 112 men by the conventional ELISA. A total of 34 uninfected subjects were negative by both tests. Thus, the specificity of the bio-barcode-amplification method was 100% and the sensitivity 99%. The bio-barcode-amplification method detected HIV-1 p24 Gag protein in plasma from all study subjects with less than 200 CD4(+) T cells/microl of plasma (100%) and 19 out of 20 (95%) HIV-1-infected men who had less than 50 copies/ml of plasma of HIV-1 RNA. In a separate group of 60 diverse international isolates, representative of clades A, B, C and D and circulating recombinant forms CRF01_AE and CRF02_AG, the bio-barcode-amplification method identified the presence of virus correctly.

conclusionsThe bio-barcode-amplification method was superior to the conventional ELISA assay for the detection of HIV-1 p24 Gag protein in plasma with a breadth of coverage for diverse HIV-1 subtypes. Because the bio-barcode-amplification method does not require enzymatic amplification, this method could be translated into a robust point-of-care test.

Indexed as

Immunomagnetic SeparationBiological AssayBlood Chemical AnalysisHIV Core Protein p24HIV InfectionsHumansImmunoassayNanoparticlesNucleic Acid Amplification TechniquesHIV Core Protein p24p24 protein, Human Immunodeficiency Virus Type 1

Identifiers

PMID18510425
PMCPMC2821699
OpenAlexW2167912146

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.