Evidence map›Paper›PMID 20007848›Full record

ArticleThe Journal of molecular diagnostics : JMD2010

High-throughput identification and quantification of Candida species using high resolution derivative melt analysis of panfungal amplicons.

Tasneem Mandviwala, Rupali Shinde, Apoorv Kalra, Jack D Sobel, Robert A Akins

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

24 citing papers in PubMed, 54 citations in OpenAlex.

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  7. Efficient differentiation ofJournal of medical microbiology · 2020
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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

5 authors at 1 institution in 1 country.

Tasneem MandviwalaDepartment of Biochemistry and Molecular Biology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Rupali Shinde
Apoorv Kalra
Jack D Sobel
Robert A Akins
Wayne State University · US

Funding

High throughput identification and quantification of fungi using high resolutionR21AI081174 · NIAID · WAYNE STATE UNIVERSITY · PI AKINS, ROBERT A · 2009 to 2010
$369k
NIAID NIH HHS 1R21AI081174-01A1NIAID NIH HHS R21 AI081174
6 · The paper itself

Abstract

Fungal infections pose unique challenges to molecular diagnostics; fungal molecular diagnostics consequently lags behind bacterial and viral counterparts. Nevertheless, fungal infections are often life-threatening, and early detection and identification of species is crucial to successful intervention. A high throughput PCR-based method is needed that is independent of culture, is sensitive to the level of one fungal cell per milliliter of blood or other tissue types, and is capable of detecting species and resistance mutations. We introduce the use of high resolution melt analysis, in combination with more sensitive, inclusive, and appropriately positioned panfungal primers, to address these needs. PCR-based amplification of the variable internal transcribed regions of the rDNA genes generates an amplicon whose sequence melts with a shape that is characteristic and therefore diagnostic of the species. Simple analysis of the differences between test and reference melt curves generates a single number that calls the species. Early indications suggest that high resolution melt analysis can distinguish all eight major species of Candida of clinical significance without interference from excess human DNA. Candida species, including mixed and novel species, can be identified directly in vaginal samples. This tool can potentially detect, count, and identify fungi in hundreds of samples per day without further manipulation, costs, or delays, offering a major step forward in fungal molecular diagnostics.

Indexed as

Nucleic Acid DenaturationCandidaCandidiasisDNA, FungalFemaleHumansPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNAVaginaDNA, Fungal

Identifiers

PMID20007848
PMCPMC2797723
OpenAlexW2108860427

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.