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Comparison of four automated nucleic acid extraction platforms for the recovery of DNA from Aspergillus fumigatus

Perry, Michael D., White, P. Lewis and Barnes, Rosemary 2014. Comparison of four automated nucleic acid extraction platforms for the recovery of DNA from Aspergillus fumigatus. Journal of Medical Microbiology 63 , pp. 1160-1166. 10.1099/jmm.0.076315-0

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Abstract

Invasive aspergillosis is a significant cause of morbidity and mortality within at-risk groups. Directed antifungal chemotherapy, guided by effective screening algorithms that incorporate reliable and validated molecular assays, reduces the morbidity associated with empirical administration and allows earlier diagnosis. The efficient extraction of nucleic acid from Aspergillus fumigatus is the main limiting factor for successful Aspergillus PCR from clinical specimens. With the integration of automated extraction platforms, assessment of the suitability of these platforms for specific targets is of paramount importance. In this study, four extraction robots (Applied Biosystems MagMAX, bioMérieux easyMAG, Qiagen EZ1 and Roche MagNA Pure LC) were evaluated for their ability to extract clinically significant levels of A. fumigatus from blood. All of the platforms could detect 101 c.f.u. ml−1 from EDTA whole blood, although only the easyMAG, EZ1 and MagNA Pure had 100 % reproducibility at this level. Despite good analytical sensitivity, contamination associated with the easyMAG platform excluded its use for diagnostic Aspergillus PCR. The EZ1 and MagNA Pure platforms demonstrated equivalent high sensitivity and negative predictive values (97.4–100 %), essential for screening assays.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Subjects: Q Science > QH Natural history > QH426 Genetics
Q Science > QR Microbiology
R Medicine > R Medicine (General)
Publisher: Society for General Microbiology
ISSN: 0022-2615
Date of Acceptance: 27 June 2014
Last Modified: 27 Mar 2019 15:29
URI: http://orca-mwe.cf.ac.uk/id/eprint/79255

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