Evidence map›Paper›PMID 15805571›Full record

ArticleMolecular biotechnology2005

BKV-DNA and JCV-DNA co-quantification assay to evaluate viral load in urine and serum.

Chiara Merlino, Massimiliano Bergallo, Roberta Daniele, Alessandro Negro Ponzi, Rossana Cavallo

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Chiara MerlinoDepartment of Public Health and Microbiology, Virology Unit, University of Turin, Turin, Italy. chiara.merlino@unito.it
Massimiliano Bergallo
Roberta Daniele
Alessandro Negro Ponzi
Rossana Cavallo
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections from human polyomaviruses BK and JC (BKV and JCV) occur independently, but concomitant infections and the simultaneous persistence of both viruses have been observed in renal transplant recipients. Several studies have disclosed a correlation between BKV and interstitial nephritis in renal transplant recipients, and an association between JCV and some cases of nephropathy has recently been hypothesized. This article describes the development of a semiquantitative-nested polymerase chain reaction (PCR) assay to simultaneously detect BKV and JCV viral load in urine and serum. The first-round amplification step uses primers that amplify a 385-bp DNA fragment from the "large T antigen" region of both viruses. Samples testing positive in the first step are then run in the second step. In the second-round amplification, different inner primers are used to separately quantify BKV-DNA and/or JCV-DNA. The assay offers several advantages including: (1) rapid submission of clinical samples to screening; (2) verification of the absence of Taq polymerase inhibitors with the use of an internal control; (3) a sensitivity threshold of 10 copies/reaction; and (4) assay running is less labor intensive, cheap, and easy to perform. The assay may be easily used to monitor viral loads versus baseline levels in urine and serum samples from renal transplant recipients to detect those at risk of BKV- or JCV-related nephropathy, and to monitor their response to immunosuppression reduction therapy if it occurs.

Indexed as

BK VirusJC VirusDNA, ViralFemaleHumansKidney TransplantationMaleNephritisPolymerase Chain ReactionPolyomavirus InfectionsReproducibility of ResultsSensitivity and SpecificityTumor Virus InfectionsViral LoadDNA, Viral

Identifiers

PMID15805571
OpenAlexW2030206307

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.