Evidence map›Paper›PMID 16207946›Full record

ArticleJournal of clinical microbiology2005

Development of a DNA microarray for detection and identification of fungal pathogens involved in invasive mycoses.

Dirk M Leinberger, Ulrike Schumacher, Ingo B Autenrieth, Till T Bachmann

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  20. Early identification of sepsis.Current infectious disease reports · 2010
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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.

Dirk M LeinbergerInstitute of Technical Biochemistry, University of Stuttgart, Allmandring 31, Stuttgart 70569, Germany.
Ulrike Schumacher
Ingo B Autenrieth
Till T Bachmann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal infections have emerged as a major cause of morbidity and mortality in immunocompromised patients. Conventional identification of pathogenic fungi in clinical microbiology laboratories is time-consuming and, therefore, often imperfect for the early initiation of an adequate antifungal therapy. We developed a diagnostic microarray for the rapid and simultaneous identification of the 12 most common pathogenic Candida and Aspergillus species. Oligonucleotide probes were designed by exploiting the sequence variations of the internal transcribed spacer (ITS) regions of the rRNA gene cassette to identify Candida albicans, Candida dubliniensis, Candida krusei, Candida glabrata, Candida tropicalis, Candida parapsilosis, Candida guilliermondii, Candida lusitaniae, Aspergillus fumigatus, Aspergillus flavus, Aspergillus niger, and Aspergillus terreus. By using universal fungal primers (ITS 1 and ITS 4) directed toward conserved regions of the 18S and 28S rRNA genes, respectively, the fungal ITS target regions could be simultaneously amplified and fluorescently labeled. To establish the system, 12 pre-characterized fungal strains were analyzed; and the method was validated by using 21 clinical isolates as blinded samples. As the microarray was able to detect and clearly identify the fungal pathogens within 4 h after DNA extraction, this system offers an interesting potential for clinical microbiology laboratories.

Indexed as

AspergillosisAspergillusCandidaCandidiasisDNA, FungalDNA PrimersDNA, Ribosomal SpacerHumansMolecular Sequence DataMycological Typing TechniquesOligonucleotide Array Sequence AnalysisRNA, Ribosomal, 18SRNA, Ribosomal, 28SSequence Analysis, DNADNA, FungalDNA PrimersDNA, Ribosomal SpacerRNA, Ribosomal, 18SRNA, Ribosomal, 28S

Identifiers

PMID16207946
PMCPMC1248467

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.