Evidence map›Paper›PMID 24551178›Full record

ArticlePloS one2014

Detection and characterization of Leishmania (Leishmania) and Leishmania (Viannia) by SYBR green-based real-time PCR and high resolution melt analysis targeting kinetoplast minicircle DNA.

Marcello Ceccarelli, Luca Galluzzi, Antonella Migliazzo, Mauro Magnani

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

  1. Sensitivity of PCR in conjunctival swab samples for the diagnosis of canine visceral leishmaniasis: a systematic review and meta-analysis.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2023
    Pooled it
  2. Article
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  9. HRM Accuracy and Limitations as a Species Typing Tool forInternational journal of molecular sciences · 2023
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  12. Novel CRISPR-based detection ofFrontiers in microbiology · 2022
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Nanodiagnostics in leishmaniasis: A new frontiers for early elimination.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2021
    Review
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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

4 authors at 2 institutions in 1 country.

Marcello CeccarelliDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", Fano (PU), Italy.
Luca GalluzziDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", Fano (PU), Italy.
Antonella MigliazzoIstituto Zooprofilattico Sperimentale della Sicilia, Palermo (PA), Italy.
Mauro MagnaniDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", Urbino (PU), Italy.
Istituto Zooprofilattico Sperimentale Della Sicilia · ITUniversity of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leishmaniasis is a neglected disease with a broad clinical spectrum which includes asymptomatic infection. A thorough diagnosis, able to distinguish and quantify Leishmania parasites in a clinical sample, constitutes a key step in choosing an appropriate therapy, making an accurate prognosis and performing epidemiological studies. Several molecular techniques have been shown to be effective in the diagnosis of leishmaniasis. In particular, a number of PCR methods have been developed on various target DNA sequences including kinetoplast minicircle constant regions. The first aim of this study was to develop a SYBR green-based qPCR assay for Leishmania (Leishmania) infantum detection and quantification, using kinetoplast minicircle constant region as target. To this end, two assays were compared: the first used previously published primer pairs (qPCR1), whereas the second used a nested primer pairs generating a shorter PCR product (qPCR2). The second aim of this study was to evaluate the possibility to discriminate among subgenera Leishmania (Leishmania) and Leishmania (Viannia) using the qPCR2 assay followed by melting or High Resolution Melt (HRM) analysis. Both assays used in this study showed good sensitivity and specificity, and a good correlation with standard IFAT methods in 62 canine clinical samples. However, the qPCR2 assay allowed to discriminate between Leishmania (Leishmania) and Leishmania (Viannia) subgenera through melting or HRM analysis. In addition to developing assays, we investigated the number and genetic variability of kinetoplast minicircles in the Leishmania (L.) infantum WHO international reference strain (MHOM/TN/80/IPT1), highlighting the presence of minicircle subclasses and sequence heterogeneity. Specifically, the kinetoplast minicircle number per cell was estimated to be 26,566±1,192, while the subclass of minicircles amplifiable by qPCR2 was estimated to be 1,263±115. This heterogeneity, also observed in canine clinical samples, must be taken into account in quantitative PCR-based applications; however, it might also be used to differentiate between Leishmania subgenera.

Indexed as

Dog DiseasesAnimalsBenzothiazolesDiagnosis, DifferentialDiaminesDNA Copy Number VariationsDNA, KinetoplastDNA PrimersDogsFluorescent DyesLeishmania braziliensisLeishmania infantumLeishmaniasis, CutaneousLeishmaniasis, VisceralNucleic Acid DenaturationOrganic ChemicalsBenzothiazolesDiaminesDNA, KinetoplastDNA PrimersFluorescent DyesOrganic ChemicalsQuinolinesSYBR Green I

Identifiers

PMID24551178
PMCPMC3923818
OpenAlexW1970668301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.