Evidence map›Paper›PMID 27875905›Full record

ArticleAIDS research and human retroviruses2017

Identification of Novel Resistance-Related Polymorphisms in HIV-1 Subtype C RT Connection and RNase H Domains from Patients Under Virological Failure in Brazil.

Maria F M Barral, Arielly K P Sousa, André F Santos, Celina M Abreu, Amilcar Tanuri, Marcelo A Soares

Abstract read
In one paragraph

Article in AIDS research and human retroviruses, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Big Data's Role in Precision Public Health.Frontiers in public health · 2018
    Review
  3. Article
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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

6 authors.

Maria F M Barral1 Departamento de Medicina, Universidade Federal do Rio Grande , Rio Grande, Brazil .
Arielly K P Sousa2 Departamento de Genética, Universidade Federal do Rio de Janeiro , Rio de Janeiro, Brazil .
André F Santos2 Departamento de Genética, Universidade Federal do Rio de Janeiro , Rio de Janeiro, Brazil .
Celina M Abreu2 Departamento de Genética, Universidade Federal do Rio de Janeiro , Rio de Janeiro, Brazil .
Amilcar Tanuri2 Departamento de Genética, Universidade Federal do Rio de Janeiro , Rio de Janeiro, Brazil .
Marcelo A Soares2 Departamento de Genética, Universidade Federal do Rio de Janeiro , Rio de Janeiro, Brazil .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the connection and RNase H C-terminal reverse transcriptase (RT) domains of HIV-1 have been shown to impact drug resistance to RT inhibitors. However, their impact in the context of non-B subtypes has been poorly assessed. This study aimed to characterize resistance-related mutations in the C-terminal portions of RT in treatment-failing patients from southern Brazil, a region with endemic HIV-1 subtype C (HIV-1C). Viral RNA was isolated and reverse transcribed from 280 infected subjects, and genomic regions were analyzed by polymerase chain reaction, DNA sequencing, and phylogenetic analysis. Two novel mutations, M357R and E529D, were evidenced in Brazilian HIV-1C strains from treatment-failing patients. In global viral isolates of subjects on treatment, M357R was selected in HIV-1C and CRF01_AE and E529D was selected in HIV-1 subtype B (HIV-1B). While most C-terminal RT mutations described for HIV-1B also occur in HIV-1C, this work pinpointed novel mutations that display subtype-specific predominance or occurrence.

Indexed as

Drug Resistance, ViralMutation, MissensePolymorphism, GeneticAnti-HIV AgentsBrazilHIV-1HIV InfectionsHIV Reverse TranscriptaseHumansPhylogenyReverse Transcriptase Polymerase Chain ReactionRNA, ViralSequence Analysis, DNATreatment FailureAnti-HIV AgentsHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1RNA, Viralantiretroviral therapyepidemiologyHIVreverse transcription

Identifiers

PMID27875905
PMCPMC5439421

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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.