Alexandra Bogožalec Košir (Author), Tašja Cvelbar (Author), Martin Kammel (Author), Hans-Peter Grunert (Author), Heinz Zeichhardt (Author), Mojca Milavec (Author)

Abstract

Antimicrobial drug resistance is one of the biggest threats to human health worldwide. Timely detection and quantification of infectious agents and their susceptibility to antimicrobial drugs are crucial for efficient management of resistance to antiviral drugs. In clinical settings, viral drug resistance is most often associated with prolonged treatment of chronic infections, and assessed by genotyping methods; e.g., sequencing and PCR. These approaches have limitations: sequencing can be expensive and does not provide quantification; and qPCR quantification is hampered by a lack of reference materials for standard curves. In recent years, digital PCR has been introduced, which provides absolute quantification without the need for reference materials for standard curves. Using digital PCR, we have developed a rapid, sensitive and accurate method for genotyping and quantification of the most prevalent mutations that cause human cytomegalovirus resistance to ganciclovir.

Keywords

protimikrobna rezistenca;HCMV;verižna reakcija s polimerazo;virusi;digital PCR;antimicrobial-drug resistance;polymerase chain reaction;viruses;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: NIB - National Institute of Biology
UDC: 577
COBISS: 15879683 Link will open in a new window
ISSN: 0166-0934
Views: 21
Downloads: 7
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary keywords: protimikrobna rezistenca;HCMV;verižna reakcija s polimerazo;virusi;
Pages: str. 1-16
Volume: ǂVol. ǂ281
Issue: ǂ[article] ǂ113864
Chronology: Jul. 2020
DOI: 10.1016/j.jviromet.2020.113864
ID: 24574208