Literature DB >> 18654916

Conventional or molecular measurement of Aspergillus load.

K V Clemons1, D A Stevens.   

Abstract

The quantification of organisms is a standard tool. Measurement of a hyphal organism, like Aspergillus, presents difficulties in that it is problematic to define what constitutes a cell. Growth occurs by hyphal tip extension, in which the hypha elongates and a septum is formed behind the tip to divide it in to a separate compartment. However, communication between compartments and streaming of nuclei makes defining a cell of a hyphal organism difficult and the best method for quantification of the hyphal organism remains controversial. Conventional CFU determination of fungal burden in tissue homogenates is readily done by most laboratories, but CFU recovered temporally tend to show minimal increase, and may indicate that mechanical homogenization does not cause significant fragmentation of the hyphae in the tissues. Does the lack of increase in CFU as infection worsens inadequately reflect fungal load in the tissue? Non-culture based assays including chitin determination, quantitative PCR and enzyme immunoassay (EIA) of cell wall constituents, galactomannan or beta-glucan overcome this difficulty in part. However, qPCR and EIA do not indicate viability, may result in false negatives. qPCR assay may represent a significant over-estimation, because it correlates with number of nuclei present; it also requires specialized equipment and reagents. Temporal studies of infection have demonstrated that qPCR and to some extent EIA reflect an increase in fungal burden not shown by CFU. Although qPCR and CFU may not correlate in those types of studies, comparative studies have shown CFU and qPCR do correlate when determining antifungal drug efficacy, where each method can clearly demonstrate differences in fungal burden; EIA methods have also been shown to reflect this difference. Overall, there remains no optimal, single method for determination of fungal load of Aspergillus and it may be that a combination of methods (e.g., CFU and qPCR) should be used.

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Year:  2008        PMID: 18654916     DOI: 10.1080/13693780802213340

Source DB:  PubMed          Journal:  Med Mycol        ISSN: 1369-3786            Impact factor:   4.076


  14 in total

Review 1.  Prognostic value of galactomannan: current evidence for monitoring response to antifungal therapy in patients with invasive aspergillosis.

Authors:  Laura L Kovanda; Amit V Desai; William W Hope
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-02-08       Impact factor: 2.745

Review 2.  Host immune defense against Aspergillus fumigatus: insight from experimental systemic (disseminated) infection.

Authors:  I Mirkov; S Stosic-Grujicic; M Kataranovski
Journal:  Immunol Res       Date:  2012-04       Impact factor: 2.829

3.  Posaconazole pharmacodynamic target determination against wild-type and Cyp51 mutant isolates of Aspergillus fumigatus in an in vivo model of invasive pulmonary aspergillosis.

Authors:  Alexander J Lepak; Karen Marchillo; Jaimie Vanhecker; David R Andes
Journal:  Antimicrob Agents Chemother       Date:  2012-11-12       Impact factor: 5.191

4.  RNA-Seq Profile Reveals Th-1 and Th-17-Type of Immune Responses in Mice Infected Systemically with Aspergillus fumigatus.

Authors:  Jata Shankar; Gustavo C Cerqueira; Jennifer R Wortman; Karl V Clemons; David A Stevens
Journal:  Mycopathologia       Date:  2018-03-02       Impact factor: 2.574

Review 5.  Animal Models of Aspergillosis.

Authors:  Guillaume Desoubeaux; Carolyn Cray
Journal:  Comp Med       Date:  2018-04-02       Impact factor: 0.982

6.  Emergence of Azole-Resistant Aspergillus fumigatus from Immunocompromised Hosts in India.

Authors:  Yubhisha Dabas; Immaculata Xess; Sameer Bakshi; Manoranjan Mahapatra; Rachna Seth
Journal:  Antimicrob Agents Chemother       Date:  2018-07-27       Impact factor: 5.191

Review 7.  Overview of vertebrate animal models of fungal infection.

Authors:  Tobias M Hohl
Journal:  J Immunol Methods       Date:  2014-04-04       Impact factor: 2.303

8.  An invertebrate infection model for evaluating anti-fungal agents against dermatophytosis.

Authors:  Masaki Ishii; Yasuhiko Matsumoto; Tsuyoshi Yamada; Shigeru Abe; Kazuhisa Sekimizu
Journal:  Sci Rep       Date:  2017-09-25       Impact factor: 4.379

9.  Priority effects dictate community structure and alter virulence of fungal-bacterial biofilms.

Authors:  J Z Alex Cheong; Chad J Johnson; Hanxiao Wan; Aiping Liu; John F Kernien; Angela L F Gibson; Jeniel E Nett; Lindsay R Kalan
Journal:  ISME J       Date:  2021-02-08       Impact factor: 10.302

10.  Inhibition of Aspergillus fumigatus and Its Biofilm by Pseudomonas aeruginosa Is Dependent on the Source, Phenotype and Growth Conditions of the Bacterium.

Authors:  Jose A G Ferreira; John C Penner; Richard B Moss; Janus A J Haagensen; Karl V Clemons; Alfred M Spormann; Hasan Nazik; Kevin Cohen; Niaz Banaei; Elisabete Carolino; David A Stevens
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

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