Evidence map›Paper›PMID 30570075›Full record

ArticleRevista do Instituto de Medicina Tropical de Sao Paulo2018

Quantitation of pulmonary fungal burden in Paracoccidioides brasiliensis-infected mice by real-time PCR.

Marcelo Vieira Costa, Taise Natali Landgraf, Priscila C Corrêa, Igor Emiliano Lemos Souza, Fabrício Freitas Fernandes, Ademilson Panunto-Castelo

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Molecular Tools for Detection and Identification ofJournal of fungi (Basel, Switzerland) · 2020
    Review
  3. Review
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 at 1 institution in 1 country.

Marcelo Vieira CostaUniversidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Biologia, Ribeirão Preto, São Paulo, Brazil.
Taise Natali LandgrafUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Programa de Pós-Graduação em Imunologia Básica e Aplicada, Ribeirão Preto, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-2084-7340
Priscila C CorrêaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Programa de Pós-Graduação em Imunologia Básica e Aplicada, Ribeirão Preto, São Paulo, Brazil.
Igor Emiliano Lemos SouzaUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Programa de Pós-Graduação em Imunologia Básica e Aplicada, Ribeirão Preto, São Paulo, Brazil.
Fabrício Freitas FernandesUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Biologia Celular e Molecular, Ribeirão Preto, São Paulo, Brazil.
Ademilson Panunto-CasteloUniversidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Biologia, Ribeirão Preto, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-0148-0133
Universidade de Ribeirão Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although colony-forming unit (CFU) counting is widely used to quantify fungal load in tissue from animal experimentally infected with Paracoccidioides brasiliensis, several technical disadvantages have been described. Here we developed highly accurate quantitative PCR (qPCR) assays to determine the relative P brasiliensis load in lungs from infected mice. SYBR Green- and TaqMan-based assays using primers and probe for the 43-kDa glycoprotein (gp43) gene detected as little as 270 gene copies (about 2 fg of DNA) per reaction. Although qPCR assays cannot distinguish between living and dead yeasts, we found a highly positive linear correlation between CFU and qPCR.

Indexed as

ParacoccidioidesAnimalsColony Count, MicrobialDisease Models, AnimalLungLung Diseases, FungalMaleMiceMice, Inbred BALB CParacoccidioidomycosisReal-Time Polymerase Chain ReactionReproducibility of ResultsStem Cells

Identifiers

PMID30570075
PMCPMC6300791
OpenAlexW2905120259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.