Evidence map›Paper›PMID 29378600›Full record

ReviewRetrovirology2018

Digital PCR as a tool to measure HIV persistence.

Sofie Rutsaert, Kobus Bosman, Wim Trypsteen, Monique Nijhuis, Linos Vandekerckhove

Abstract readReview
In one paragraph

Review in Retrovirology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  20. Development of a droplet digital PCR assay for quantification of the proviral load of bovine leukemia virus.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022
    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

5 authors.

Sofie RutsaertHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium.
Kobus BosmanDepartment of Medical Microbiology, Virology, UMC Utrecht, Utrecht, The Netherlands.
Wim TrypsteenHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium.
Monique NijhuisDepartment of Medical Microbiology, Virology, UMC Utrecht, Utrecht, The Netherlands.
Linos VandekerckhoveHIV Cure Research Center, Department of Internal Medicine, Ghent University, Ghent, Belgium. Linos.Vandekerckhove@UGent.be.ORCID 0000-0002-8600-1631

Funding

Aidsfonds project P-13204Aidsfonds project P-2013034amfAR, The Foundation for AIDS Research Grant-ID109552-61-RSRLFonds Wetenschappelijk Onderzoek FWO 1.8.020.09.N.00Fonds Wetenschappelijk Onderzoek FWO 1S32916N
6 · The paper itself

Abstract

Although antiretroviral therapy is able to suppress HIV replication in infected patients, the virus persists and rebounds when treatment is stopped. In order to find a cure that can eradicate the latent reservoir, one must be able to quantify the persisting virus. Traditionally, HIV persistence studies have used real-time PCR (qPCR) to measure the viral reservoir represented by HIV DNA and RNA. Most recently, digital PCR is gaining popularity as a novel approach to nucleic acid quantification as it allows for absolute target quantification. Various commercial digital PCR platforms are nowadays available that implement the principle of digital PCR, of which Bio-Rad's QX200 ddPCR is currently the most used platform in HIV research. Quantification of HIV by digital PCR is proving to be a valuable improvement over qPCR as it is argued to have a higher robustness to mismatches between the primers-probe set and heterogeneous HIV, and forfeits the need for a standard curve, both of which are known to complicate reliable quantification. However, currently available digital PCR platforms occasionally struggle with unexplained false-positive partitions, and reliable segregation between positive and negative droplets remains disputed. Future developments and advancements of the digital PCR technology are promising to aid in the accurate quantification and characterization of the persistent HIV reservoir.

Indexed as

Polymerase Chain ReactionVirus LatencyAntiretroviral Therapy, Highly ActiveDNA, ViralHIV-1HIV InfectionsHumansProvirusesRNA, ViralSensitivity and SpecificityDNA, ViralRNA, ViralddPCRDigital PCRHIV

Identifiers

PMID29378600
PMCPMC5789538

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.