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Digital PCR method for detection and quantification of specific antimicrobial drug-resistance mutations in human cytomegalovirus.
Journal of Virological Methods ( IF 2.2 ) Pub Date : 2020-05-04 , DOI: 10.1016/j.jviromet.2020.113864
Alexandra Bogožalec Košir 1 , Tašja Cvelbar 2 , Martin Kammel 3 , Hans-Peter Grunert 4 , Heinz Zeichhardt 5 , Mojca Milavec 1
Affiliation  

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.

中文翻译:

用于检测和定量人类巨细胞病毒中特定抗药性耐药突变的数字PCR方法。

抗菌药物耐药性是全球人类健康的最大威胁之一。及时检测和定量感染因子及其对抗菌药物的敏感性对于有效管理抗病毒药物的耐药性至关重要。在临床环境中,病毒耐药性通常与长期感染的长期治疗有关,并通过基因分型方法进行评估。例如测序和PCR。这些方法有局限性:测序可能很昂贵,并且无法提供定量分析;qPCR的定量受到标准曲线参考材料的缺乏的困扰。近年来,已经引入了数字PCR,无需提供标准曲线的参考材料即可提供绝对定量。通过数字PCR,我们开发了一种快速,
更新日期:2020-05-04
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