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Semi-nested RT-PCR enables sensitive and high-throughput detection of SARS-CoV-2 based on melting analysis.
Thi Nguyen, Ngoc Anh; Thi Bui, Hoai; Thi-Huong Pham, Quynh; Thi Thao Hoang, Ly; Xuan Ta, Hung; Heikkinen, Timo; Van Le, Duyet; Dinh Van, Trang; Quoc Ngo, Nam; Thi Hong Huynh, Phuong; Thi Huyen Tran, Trang; Quoc Phan, Hoan; Van Hoang, Luong; van Doorn, H Rogier; Thi Ngoc Nguyen, Diep; Thi Nguyen, Tam; Sy Vo, Nam; Viet Vo, Cuong; Khac Trinh, Sau; The Pham, Tai; Duc Le, Quang; Van Le, Phan; Thai Nguyen, Son; Thi Tran, Loan; Dinh Vu, Toan; Vu Nguyen, Quynh Anh; Thi Trieu, Nguyet; Thi Le, Thuy; Dinh Nguyen, Ung; Steman, Jakob; Huu Ho, Tho.
  • Thi Nguyen NA; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Thi Bui H; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Thi-Huong Pham Q; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Thi Thao Hoang L; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Xuan Ta H; Top Data Science Ltd, Helsinki, Finland.
  • Heikkinen T; Top Data Science Ltd, Helsinki, Finland.
  • Van Le D; National Hospital of Tropical Diseases, 78 Giai Phong, Dong Da, Hanoi, Viet Nam.
  • Dinh Van T; National Hospital of Tropical Diseases, 78 Giai Phong, Dong Da, Hanoi, Viet Nam.
  • Quoc Ngo N; Phusa Biochem Biochemistry Ltd, Can Tho, Viet Nam.
  • Thi Hong Huynh P; Phusa Biochem Biochemistry Ltd, Can Tho, Viet Nam.
  • Thi Huyen Tran T; Department of Molecular Biology, 108 Hospital, Hanoi, Viet Nam; Vietnamese - German Centre of Excellence in Medical Research, 108 Hospital, Hanoi, Viet Nam.
  • Quoc Phan H; Department of Molecular Biology, 108 Hospital, Hanoi, Viet Nam.
  • Van Hoang L; Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Vietnam.
  • van Doorn HR; Oxford University Clinical Research Unit, Hanoi, Viet Nam; Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.
  • Thi Ngoc Nguyen D; Oxford University Clinical Research Unit, Hanoi, Viet Nam.
  • Thi Nguyen T; Oxford University Clinical Research Unit, Hanoi, Viet Nam.
  • Sy Vo N; Department of Computational Biomedicine, Vingroup Big Data Institute, Hanoi, Viet Nam.
  • Viet Vo C; Vietnamese- Russian Tropical Center, Hanoi, Viet Nam.
  • Khac Trinh S; Vietnamese- Russian Tropical Center, Hanoi, Viet Nam.
  • The Pham T; Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Vietnam.
  • Duc Le Q; Department of Systems Engineering and Computer Network, National University of Civil Engineering, Hanoi, Viet Nam.
  • Van Le P; College of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Viet Nam.
  • Thai Nguyen S; 103 Military Hospital, Vietnam Military Medical University, Hanoi, Viet Nam.
  • Thi Tran L; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Dinh Vu T; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Vu Nguyen QA; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Thi Trieu N; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Thi Le T; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Dinh Nguyen U; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
  • Steman J; Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Minerva Foundation Institute for Medical Research, Helsinki, Finland.
  • Huu Ho T; Department of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam; 103 Military Hospital, Vietnam Military Medical University, Hanoi, Viet Nam. Electronic address: hohuutho@vmmu.edu.vn.
Clin Chim Acta ; 531: 309-317, 2022 Jun 01.
Article in English | MEDLINE | ID: covidwho-1814218
ABSTRACT

BACKGROUND:

Asymptomatic transmission was found to be the Achilles' heel of the symptom-based screening strategy, necessitating the implementation of mass testing to efficiently contain the transmission of COVID-19 pandemic. However, the global shortage of molecular reagents and the low throughput of available realtime PCR facilities were major limiting factors.

METHODS:

A novel semi-nested and heptaplex (7-plex) RT-PCR assay with melting analysis for detection of SARS-CoV-2 RNA has been established for either individual testing or 96-sample pooled testing. The complex melting spectrum collected from the heptaplex RT-PCR amplicons was interpreted with the support of an artificial intelligence algorithm for the detection of SARS-CoV-2 RNA. The analytical and clinical performance of the semi-nested RT-PCR assay was evaluated using RNAs synthesized in-vitro and those isolated from nasopharyngeal samples.

RESULTS:

The LOD of the assay for individual testing was estimated to be 7.2 copies/reaction. Clinical performance evaluation indicated a sensitivity of 100% (95% CI 97.83-100) and a specificity of 99.87% (95% CI 99.55-99.98). More importantly, the assay supports a breakthrough sample pooling method, which makes possible parallel screening of up to 96 samples in one real-time PCR well without loss of sensitivity. As a result, up to 8,820 individual pre-amplified samples could be screened for SARS-CoV-2 within each 96-well plate of realtime PCR using the pooled testing procedure.

CONCLUSION:

The novel semi-nested RT-PCR assay provides a solution for highly multiplex (7-plex) detection of SARS-CoV-2 and enables 96-sample pooled detection for increase of testing capacity. .
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Clin Chim Acta Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Clin Chim Acta Year: 2022 Document Type: Article