Evidence map›Paper›PMID 24952715›Full record

ArticleMycopathologia2014

Identification of fungal pathogens by visible microarray system in combination with isothermal gene amplification.

Kanae Sakai, Plinio Trabasso, Maria Luiza Moretti, Yuzuru Mikami, Katsuhiko Kamei, Tohru Gonoi

Abstract read
In one paragraph

Article in Mycopathologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. PCR Technology for Detection of Invasive Aspergillosis.Journal of fungi (Basel, Switzerland) · 2016
    Review
  10. Review
  11. Article
  12. Article
  13. 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

6 authors.

Kanae SakaiDivision of BioResources, Medical Mycology Research Center, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba, Japan.
Plinio Trabasso
Maria Luiza Moretti
Yuzuru Mikami
Katsuhiko Kamei
Tohru Gonoi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing incidence of infectious diseases caused by fungi in immunocompromised patients has encouraged researchers to develop rapid and accurate diagnosis methods. Identification of the causative fungal species is critical in deciding the appropriate treatment, but it is not easy to get satisfactory results due to the difficulty of fungal cultivation and morphological identification from clinical samples. In this study, we established a microarray system that can identify 42 species from 24 genera of clinically important fungal pathogens by using a chemical color reaction in the detection process. The array uses the internal transcribed spacer region of the rRNA gene for identification of fungal DNA at the species level. The specificity of this array was tested against a total of 355 target and nontarget fungal species. The fungal detection was succeeded directly from 10(3) CFU/ml for whole blood samples, and 50 fg DNA per 1 ml of serum samples indicating that the array system we established is sensitive to identify infecting fungi from clinical sample. Furthermore, we conducted isothermal amplification in place of PCR amplification and labeling. The successful identification with PCR-amplified as well as isothermally amplified target genes demonstrated that our microarray system is an efficient and robust method for identifying a variety of fungal species in a sample.

Indexed as

DNA, FungalDNA, Ribosomal SpacerFungiHumansMicroarray AnalysisMolecular Diagnostic TechniquesMycosesNucleic Acid Amplification TechniquesSensitivity and SpecificityDNA, FungalDNA, Ribosomal Spacer

Identifiers

PMID24952715
PMCPMC4098066

What OpenQuestion holds

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Registered trials

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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.