Literature DB >> 26232708

Sensitive and rapid RT-qPCR quantification of pathogenic Candida species in human blood.

Kiyohito Ogata1, Kazunori Matsuda2, Hirokazu Tsuji3, Koji Nomoto1.   

Abstract

For accurate diagnosis and appropriate treatment of candidiasis, we developed a highly sensitive quantitative RT-PCR (RT-qPCR) system for five Candida species that have been reported to be the major causes of bloodstream fungal infection (Candida albicans, Candida glabrata, Candida tropicalis, Candida parapsilosis, and Candida krusei), together with a system for all pathogenic Candida species. Cells of each fungal species spiked into human peripheral blood (PB) were specifically detected at a lower detection limit of 10(0) cell/1 mL PB by this system using the newly developed specific primer sets targeting 18S or 26S rRNA of the five Candida species, together with the existing group primer set. The total count of the five Candida spp. as the sum of those obtained by using the five species primer sets was equivalent to the count obtained by using the group primer set, indicating that the group set covered the major five Candida spp. in human blood with the same degree of accuracy as the species primer sets. The RT-qPCR counts of the Candida species were in good agreement with CFU counts obtained by their culture on CHROMagar™, with a lower detection limit of 10(0)cell/mL of PB. Candida rRNA molecules were stably stored for at least 7 days at 4°C by keeping the blood specimens in an RNA stabilizing reagent. These results strongly suggest that this sensitive system is useful for accurate and rapid diagnosis of Candida bloodstream infections.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood; Candida; Quantitative RT-PCR

Mesh:

Substances:

Year:  2015        PMID: 26232708     DOI: 10.1016/j.mimet.2015.07.021

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  6 in total

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Authors:  Pakpoom Phoompoung; Methee Chayakulkeeree
Journal:  Mycopathologia       Date:  2016-03-22       Impact factor: 2.574

2.  Microbiome-driven identification of microbial indicators for postharvest diseases of sugar beets.

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Journal:  Microbiome       Date:  2019-08-07       Impact factor: 14.650

3.  Establishment of a rapid diagnosis method for Candida glabrata based on the ITS2 gene using recombinase polymerase amplification combined with lateral flow strips.

Authors:  Kun Wang; Li Huo; Yuanyuan Li; Lihua Zhu; Yan Wang; Lei Wang
Journal:  Front Cell Infect Microbiol       Date:  2022-07-28       Impact factor: 6.073

4.  Development and Application of a Multiple Cross Displacement Amplification Combined With Nanoparticle-Based Lateral Flow Biosensor Assay to Detect Candida tropicalis.

Authors:  Yu Wang; Xue Zhao; Jinzhi Cheng; Xiaomin Tang; Xu Chen; Honglan Yu; Shijun Li
Journal:  Front Microbiol       Date:  2021-06-10       Impact factor: 5.640

Review 5.  Counting the Countless: Bacterial Quantification by Targeting rRNA Molecules to Explore the Human Gut Microbiota in Health and Disease.

Authors:  Hirokazu Tsuji; Kazunori Matsuda; Koji Nomoto
Journal:  Front Microbiol       Date:  2018-06-29       Impact factor: 5.640

Review 6.  Molecular Diagnosis of Yeast Infections.

Authors:  P Lewis White; Jessica S Price; Alan Cordey; Matthijs Backx
Journal:  Curr Fungal Infect Rep       Date:  2021-06-18
  6 in total

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