Evidence map›Paper›PMID 26350506›Full record

ArticleScientific reports2015

Comparison of digital PCR platforms and semi-nested qPCR as a tool to determine the size of the HIV reservoir.

K J Bosman, M Nijhuis, P M van Ham, A M J Wensing, K Vervisch, L Vandekerckhove, W De Spiegelaere

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Identification ofInfection and drug resistance · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Measuring the Success of HIV-1 Cure Strategies.Frontiers in cellular and infection microbiology · 2020
    Review
  15. Article
  16. Nucleic acid testing and molecular characterization of HIV infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors at 2 institutions in 2 countries.

K J BosmanDepartment of Medical Microbiology, Virology, University Medical Centre Utrecht, The Netherlands.
M NijhuisDepartment of Medical Microbiology, Virology, University Medical Centre Utrecht, The Netherlands.
P M van HamDepartment of Medical Microbiology, Virology, University Medical Centre Utrecht, The Netherlands.
A M J WensingDepartment of Medical Microbiology, Virology, University Medical Centre Utrecht, The Netherlands.
K VervischDepartment of Internal Medicine, HIV Translational Research Unit, University Ghent &University Hospital Ghent, Belgium.
L VandekerckhoveDepartment of Internal Medicine, HIV Translational Research Unit, University Ghent &University Hospital Ghent, Belgium.
W De SpiegelaereDepartment of Internal Medicine, HIV Translational Research Unit, University Ghent &University Hospital Ghent, Belgium.
University Medical Center Utrecht · NLGhent University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV persists in latently infected cells of patients on antiretroviral therapy (ART). This persistent proviral DNA reservoir is an important predictor of viral rebound upon therapy failure or interruption and forms a major obstacle towards cure. Accurate quantification of the low levels of persisting HIV DNA may aid patient monitoring and cure research. Digital PCR is a promising tool that enables direct absolute quantification with high sensitivity. With recent technological advances, several platforms are available to implement digital PCR in a clinical setting. Here, we compared two digital PCR platforms, the Quantstudio 3D (Life Technologies) and the QX100 (Bio-Rad) with a semi-nested qPCR on serial HIV DNA dilutions and DNA isolated from PBMCs of ART-suppressed patients. All three methods were able to detect target to the lowest levels of 2.5 HIV DNA copies. The QX100 excelled in having the least bias and highest precision, efficiency and quantitative linearity. Patient sample quantifications by the QX100 and semi-nested qPCR were highly agreeable by Bland-Altman analysis (0.01±0.32 log10). Due to the observation of false-positive signals with current digital PCR platforms however, semi-nested qPCR may still be preferred in a setup of low quantity detection to discriminate between presence or absence of HIV DNA.

Indexed as

Carrier StatePolymerase Chain ReactionAntiretroviral Therapy, Highly ActiveDNA, ViralGene DosageHIV-1HIV InfectionsHumansLeukocytes, MononuclearProvirusesDNA, Viral

Identifiers

PMID26350506
PMCPMC4563360
OpenAlexW2215502044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.