Evidence map›Paper›PMID 29844604›Full record

ArticleScientific reports2018

HIV Reverse Transcriptase and Protease Genes Variability Can Be a Biomarker Associated with HIV and Hepatitis B or C Coinfection.

Natália Mirele Cantão, Lauana Fogaça de Almeida, Ivan Rodrigo Wolf, Rodrigo Oliveira Almeida, Andressa Alves de Almeida Cruz, Caroline Nunes, Alexandre Naime Barbosa, Guilherme Targino Valente, Maria Inês de Moura Campos Pardini, Rejane Maria Tommasini Grotto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Natália Mirele CantãoSão Paulo State University (Unesp), Medical School, Botucatu, Sao Paulo State, Brazil.
Lauana Fogaça de AlmeidaSão Paulo State University (Unesp), School of Agriculture (FCA), Department of Bioprocess and Biotechnology, Botucatu, Sao Paulo State, Brazil.
Ivan Rodrigo WolfSão Paulo State University (Unesp), School of Agriculture (FCA), Department of Bioprocess and Biotechnology, Botucatu, Sao Paulo State, Brazil.
Rodrigo Oliveira AlmeidaSão Paulo State University (Unesp), School of Agriculture (FCA), Department of Bioprocess and Biotechnology, Botucatu, Sao Paulo State, Brazil.
Andressa Alves de Almeida CruzSão Paulo State University (Unesp), Medical School, Botucatu, Sao Paulo State, Brazil.
Caroline NunesSão Paulo State University (Unesp), Medical School, Botucatu, Sao Paulo State, Brazil.ORCID 0000-0002-5243-886X
Alexandre Naime BarbosaSão Paulo State University (Unesp), Medical School, Botucatu, Sao Paulo State, Brazil.
Guilherme Targino ValenteSão Paulo State University (Unesp), School of Agriculture (FCA), Department of Bioprocess and Biotechnology, Botucatu, Sao Paulo State, Brazil.
Maria Inês de Moura Campos PardiniSão Paulo State University (Unesp), Medical School, Botucatu, Sao Paulo State, Brazil.
Rejane Maria Tommasini GrottoSão Paulo State University (Unesp), Medical School, Botucatu, Sao Paulo State, Brazil. regrotto@fca.unesp.br.
Universidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variability of the HIV reverse transcriptase (RT) and protease (PR) genes has been used as indicators of drug resistance and as a mean to evaluate phylogenetic relationships among circulating virus. However, these studies have been carried in HIV mono-infected populations. The goal of this study was to evaluate, for the first time, the HIV PR and RT sequences from HIV/HBV and HIV/HCV co-infected patients. HIV PR and RT genes were amplificated and sequenced to resistance analysis. The bioinformatics analysis was performed to infer about sequences clustering and molecular evolution. The results showed that the most frequent amino acid substitutions in RT were L214F (67.6%), I135T (55.9%), and in PR was V15I (41.2%). The molecular clock analysis showed that the HIV circulating in co-infected patients were separated in two clusters in the years 1999-2000. Some patients included as HIV mono-infected according patients' medical records and inside the co-infected cluster were, in fact, co-infected by PCR analysis. Analysis of the decision trees showed susceptibility to lamivudine and emtricitabine were important attribute to characterize co-infected patients. In conclusion, the results obtained in this study suggest, for the first time, that HIV RT and PR genes variability could be a genetic biomarker to coinfection.

Indexed as

AdultAmino Acid SequenceAnti-HIV AgentsBiomarkersCoinfectionComputational BiologyDrug Resistance, ViralFemaleGenetic VariationGenotypeHepacivirusHepatitis BHepatitis B virusHepatitis CHIV-1HIV InfectionsAnti-HIV AgentsBiomarkersHIV ProteaseHIV Reverse Transcriptase

Identifiers

PMID29844604
PMCPMC5974300
OpenAlexW2805408365

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.