Evidence map›Paper›PMID 39599811›Full record

ReviewViruses2024

Archived HIV-1 Drug Resistance Mutations: Role of Proviral HIV-1 DNA Genotype for the Management of Virological Responder People Living with HIV.

Roberta Campagna, Chiara Nonne, Guido Antonelli, Ombretta Turriziani

Abstract readReview
In one paragraph

Review in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

4 authors.

Roberta CampagnaDepartment of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7381-9071
Chiara NonneDepartment of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-4911-7301
Guido AntonelliDepartment of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-2533-2939
Ombretta TurrizianiDepartment of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-6400-9168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite its effectiveness in controlling plasma viremia, antiretroviral therapy (ART) cannot target proviral DNA, which remains an obstacle to HIV-1 eradication. When treatment is interrupted, the reservoirs can act as a source of viral rebound, highlighting the value of proviral DNA as an additional source of information on an individual's overall resistance burden. In cases where the viral load is too low for successful HIV-1 RNA genotyping, HIV-1 DNA can help identify resistance mutations in treated individuals. The absence of treatment history, the need to adjust ART despite undetectable viremia, or the presence of LLV further support the use of genotypic resistance tests (GRTs) on HIV-1 DNA. Conventionally, GRTs have been achieved through Sanger sequencing, but the advances in NGS are leading to an increase in its use, allowing the detection of minority variants present in less than 20% of the viral population. The clinical significance of these mutations remains under debate, with interpretations varying based on context. Additionally, proviral DNA is subject to APOBEC3-induced hypermutation, which can lead to defective, nonviable viral genomes, a factor that must be considered when performing GRTs on HIV-1 DNA.

Indexed as

Anti-HIV AgentsDNA, ViralDrug Resistance, ViralGenotypeHIV-1HIV InfectionsMutationProvirusesViral LoadHumansAnti-HIV AgentsDNA, ViralAPOBECDNA GRTHIV-1NGSreservoirSanger sequencing

Identifiers

PMID39599811
PMCPMC11599110

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.