Evidence map›Paper›PMID 30231168›Full record

ArticleRevista do Instituto de Medicina Tropical de Sao Paulo2018

A globally applicable PCR-based detection and discrimination of BK and JC polyomaviruses.

Leandro Magalhães de Souza, Flávia Savassi-Ribas, Stephanie G S de Almeida, Rubens Nei N da Silva, Camila F Baez, Mariano Gustavo Zalis, Maria Angelica Arpon Marandino Guimarães, Rafael Brandão Varella

Open access · diamondAbstract read
In one paragraph

Article in Revista do Instituto de Medicina Tropical de Sao Paulo, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 1 country.

Leandro Magalhães de SouzaDepartmento de Medicina Preventiva, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio do Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Flávia Savassi-RibasDepartamento de Microbiologia e Parasitologia, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil.
Stephanie G S de AlmeidaDepartmento de Medicina Preventiva, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio do Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Rubens Nei N da SilvaDepartmento de Medicina Preventiva, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio do Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Camila F BaezDepartmento de Medicina Preventiva, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio do Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Mariano Gustavo ZalisDepartmento de Medicina Preventiva, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio do Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Maria Angelica Arpon Marandino GuimarãesDepartmento de Medicina Preventiva, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio do Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Rafael Brandão VarellaDepartamento de Microbiologia e Parasitologia, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil.
Hospital Universitário Clementino Fraga Filho · BRUniversidade Federal do Estado do Rio de Janeiro · BRUniversidade Federal do Rio de Janeiro · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BKV and JCV belong to the Polyomaviridae family and are opportunistic agents associated with complications in immunocompromised individuals. Although a single screening assay for both viruses would be convenient, the diversity of BKV and JCV serotypes and genotypes is a methodological challenge. In this paper, we developed a PCR method able to detect and segregate BKV and JCV, despite these genetic discrepancies. A duplex semi-nested PCR (duplex snPCR) was designed to target a conserved region (639nt-1516nt) within the VP2 gene. In the first PCR, a primer set common to all BKV and JCV serotypes/ genotypes was used, followed by a semi-nested PCR with internal primers for BKV and JCV segregation. The limit of detection of the duplex snPCR was as low as 10 copies of BKV or JCV plasmids/μL. Specific products were observed when JCV and BKV plasmids were mixed in the same reaction. In field sample testing, the duplex snPCR detected and distinguished both viruses in different biological samples. Results were confirmed by Sanger's sequencing. The geographical complexity of BKV and JCV serotypes and genotypes imposes limits to a simple and universal method that could detect each virus. However, we describe here a sensitive and reliable PCR technique for BKV and JCV diagnosis that overcomes these limitations and could be universally applied.

Indexed as

BK VirusDNA, ViralGenotypeHumansJC VirusPolymerase Chain ReactionDNA, Viral

Identifiers

PMID30231168
PMCPMC6169091
OpenAlexW2891257925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.