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Evaluation of diagnostic performance of SARS-CoV-2 infection using digital droplet polymerase chain reaction in individuals with or without COVID-19 symptoms

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dc.contributor.authorKim, Yoonjung-
dc.contributor.authorLee, Eunyoung-
dc.contributor.authorKim, Boyeon-
dc.contributor.authorCho, Jinhee-
dc.contributor.authorRyu, Sook-Won-
dc.contributor.authorLee, Kyung-A-
dc.date.accessioned2024-03-22T06:44:15Z-
dc.date.available2024-03-22T06:44:15Z-
dc.date.created2024-04-24-
dc.date.issued2024-02-
dc.identifier.issn0009-8981-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/198608-
dc.description.abstractBackground: Reverse transcription -quantitative PCR (RT-qPCR) is commonly used to diagnose SARS-CoV-2, but it has limited sensitivity in detecting the virus in asymptomatic close contacts and convalescent patients. In this study, we propose the use of reverse transcription -digital droplet PCR (RT-ddPCR) to detect SARS-CoV-2 in clinical samples. Methods: The clinical performance of RT-ddPCR targeting of ORF1ab and N genes was evaluated in parallel with RT-qPCR using 200 respiratory samples collected from close contacts and patients at different phases of infection. Results: The limits of detection (LODs) for RT-ddPCR assays were determined using six dilutions of ACCUPLEX SARS-Cov-2 reference material. The LODs of ORF1ab and N genes were 3.7 copies/reaction and 2.2 copies/reaction, respectively. Compared to RT-qPCR, RT-ddPCR increased the positive rate by 12.0% in 142 samples from SARS-CoV-2-infected patients. Additionally, RT-ddPCR detected SARS-CoV-2 in three of 26 specimens from close contacts that tested negative by RT-qPCR, and infection was confirmed using follow-up samples. Finally, RTddPCR improved the equivocal results from RT-qPCR in 56.3% (9/16) of convalescent patient samples. Conclusions: Detecting SARS-CoV-2 in samples with low viral loads using RT-qPCR can be challenging. However, our study suggests that RT-ddPCR, with its higher sensitivity and accuracy, is better suited for detecting low viral copies in samples, particularly those from close contacts and convalescent patients.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfCLINICA CHIMICA ACTA-
dc.relation.isPartOfCLINICA CHIMICA ACTA-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleEvaluation of diagnostic performance of SARS-CoV-2 infection using digital droplet polymerase chain reaction in individuals with or without COVID-19 symptoms-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Laboratory Medicine (진단검사의학교실)-
dc.contributor.googleauthorKim, Yoonjung-
dc.contributor.googleauthorLee, Eunyoung-
dc.contributor.googleauthorKim, Boyeon-
dc.contributor.googleauthorCho, Jinhee-
dc.contributor.googleauthorRyu, Sook-Won-
dc.contributor.googleauthorLee, Kyung-A-
dc.identifier.doi10.1016/j.cca.2023.117759-
dc.relation.journalcodeJ00543-
dc.identifier.eissn1873-3492-
dc.identifier.pmid38184140-
dc.subject.keywordSARS-CoV-2-
dc.subject.keywordDigital droplet polymerase chain reaction-
dc.subject.keywordRT-qPCR-
dc.contributor.alternativeNameKim, Yoon Jung-
dc.contributor.affiliatedAuthorKim, Yoonjung-
dc.contributor.affiliatedAuthorKim, Boyeon-
dc.contributor.affiliatedAuthorLee, Kyung-A-
dc.identifier.scopusid2-s2.0-85181805553-
dc.identifier.wosid001154219700001-
dc.citation.volume554-
dc.identifier.bibliographicCitationCLINICA CHIMICA ACTA, Vol.554, 2024-02-
dc.identifier.rimsid83633-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorSARS-CoV-2-
dc.subject.keywordAuthorDigital droplet polymerase chain reaction-
dc.subject.keywordAuthorRT-qPCR-
dc.subject.keywordPlusPCR-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryMedical Laboratory Technology-
dc.relation.journalResearchAreaMedical Laboratory Technology-
dc.identifier.articleno117759-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers

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