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Manchanda V, Siddiqui O, Meena K, Sharma A, Saxena S. Quality assurance of SARS-CoV-2 testing laboratories during the pandemic period in India - An experience from a designated provider laboratory. Indian J Med Microbiol 2024; 49:100577. [PMID: 38588879 DOI: 10.1016/j.ijmmb.2024.100577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 04/01/2024] [Accepted: 04/01/2024] [Indexed: 04/10/2024]
Abstract
PURPOSE Indian Council of Medical Research (ICMR) initiated an Inter-Laboratory Quality Control testing (ILQC) program for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) testing. Under this program, SARS-CoV-2 testing laboratories across the country submit specimens to the assigned State Quality Control (SQCs) laboratories for ILQC testing. This study aimed to investigate the performance of public and private SARS-CoV-2 testing laboratories in Delhi and highlights the country's effort in ramping up testing facility with close monitoring of the quality of Covid-19 testing results. METHODS In the present study, two-years of SARS-CoV-2 testing data is included. During July 2020 through February 2022, a total of 1791 anonymised specimens were received from 56 public and private laboratories. These specimens were processed by reverse transcriptase - polymerase chain reaction (RT-PCR) tests as per National Institute of Virology (NIV) protocol and the results were uploaded on the ICMR quality control/quality assurance (QC/QA) portal without directly conveying the results to respective participating laboratories. This portal generated a final report stating concordance and intimate results to individual laboratories. RESULTS Among the 1791 specimens, 25 were rejected and the remaining 1766 were tested. Among these specimens 1691 (95.75%) revealed concordance, and 75 (4.24%) were discordant. A total of 29 laboratories had 100% concordance, 21 laboratories had over 90% concordance and six laboratories had over 80% concordance. CONCLUSIONS The study demonstrates that the establishment of an inter-laboratory comparison program for SARS-CoV-2 testing helped in monitoring quality of SARS-CoV-2 testing in the country.
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Affiliation(s)
- Vikas Manchanda
- Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India; State Level -Viral Research and Diagnostic Laboratory (VRDL), Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India.
| | - Oves Siddiqui
- Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India; State Level -Viral Research and Diagnostic Laboratory (VRDL), Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India.
| | - Kavita Meena
- Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India.
| | - Anju Sharma
- State Level -Viral Research and Diagnostic Laboratory (VRDL), Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India.
| | - Sonal Saxena
- Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India; State Level -Viral Research and Diagnostic Laboratory (VRDL), Department of Microbiology, Maulana Azad Medical College & Associated Lok Nayak Hospital, Bahadur Shah Zafar Marg, New Delhi, 110002, India.
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2
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Bustin SA. Improving the quality of quantitative polymerase chain reaction experiments: 15 years of MIQE. Mol Aspects Med 2024; 96:101249. [PMID: 38290180 DOI: 10.1016/j.mam.2024.101249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/02/2024] [Accepted: 01/15/2024] [Indexed: 02/01/2024]
Abstract
The quantitative polymerase chain reaction (qPCR) is fundamental to molecular biology. It is not just a laboratory technique, qPCR is a bridge between research and clinical practice. Its theoretical foundations guide the design of experiments, while its practical implications extend to diagnostics, treatment, and research advancements in the life sciences, human and veterinary medicine, agriculture, and forensics. However, the accuracy, reliability and reproducibility of qPCR data face challenges arising from various factors associated with experimental design, execution, data analysis and inadequate reporting details. Addressing these concerns, the Minimum Information for the Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines have emerged as a cohesive framework offering a standardised set of recommendations that describe the essential information required for assessing qPCR experiments. By emphasising the importance of methodological rigour, the MIQE guidelines have made a major contribution to improving the trustworthiness, consistency, and transparency of many published qPCR results. However, major challenges related to awareness, resources, and publication pressures continue to affect their consistent application.
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Affiliation(s)
- Stephen A Bustin
- Medical Technology Research Centre, Anglia Ruskin University, Chelmsford, Essex, CM1 1SQ, UK.
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3
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Mak GCK, Hung DLL. Non-specific signals in real-time RT-PCR for detecting respiratory viruses. Diagn Microbiol Infect Dis 2024; 108:116163. [PMID: 38157637 DOI: 10.1016/j.diagmicrobio.2023.116163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/15/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024]
Abstract
We describe our experiences in investigating the origin of non-specific signals during the development phase of a multiplex PCR assay for respiratory viruses. After ruling out various sources of error, eventually we discovered the non-specific signal was related to the particular lot of the PCR kit.
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Affiliation(s)
- Gannon C K Mak
- All from Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, People's Republic of China.
| | - Derek L L Hung
- All from Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, People's Republic of China
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4
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Yari P, Liang S, Chugh VK, Rezaei B, Mostufa S, Krishna VD, Saha R, Cheeran MCJ, Wang JP, Gómez-Pastora J, Wu K. Nanomaterial-Based Biosensors for SARS-CoV-2 and Future Epidemics. Anal Chem 2023; 95:15419-15449. [PMID: 37826859 DOI: 10.1021/acs.analchem.3c01522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Affiliation(s)
- Parsa Yari
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shuang Liang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Vinit Kumar Chugh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Bahareh Rezaei
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shahriar Mostufa
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Venkatramana Divana Krishna
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Renata Saha
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Maxim C-J Cheeran
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Jian-Ping Wang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Jenifer Gómez-Pastora
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Kai Wu
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
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5
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Conrad S, Gant Kanegusuku A, Conklin SE. Taking a step back from testing: Preanalytical considerations in molecular infectious disease diagnostics. Clin Biochem 2023; 115:22-32. [PMID: 36495954 PMCID: PMC9729171 DOI: 10.1016/j.clinbiochem.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022]
Abstract
Recent studies evaluating the preanalytical factors that impact the outcome of nucleic-acid based methods for the confirmation of SARS-CoV-2 have illuminated the importance of identifying variables that promoted accurate testing, while using scarce resources efficiently. The majority of laboratory errors occur in the preanalytical phase. While there are many resources identifying and describing mechanisms for main laboratory testing on automated platforms, there are fewer comprehensive resources for understanding important preanalytical and environmental factors that affect accurate molecular diagnostic testing of infectious diseases. This review identifies evidence-based factors that have been documented to impact the outcome of nucleic acid-based molecular techniques for the diagnosis of infectious diseases.
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Affiliation(s)
- Stephanie Conrad
- Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, MA, USA
| | | | - Steven E Conklin
- Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, MA, USA; Department of Anatomic & Clinical Pathology, Tufts University School of Medicine, Boston, MA, USA.
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Linkowska K, Bogiel T, Lamperska K, Marszałek A, Starzyński J, Szylberg Ł, Szwed-Kowalska A, Pawłowska M, Grzybowski T. Commercially available SARS-CoV-2 RT-qPCR diagnostic tests need obligatory internal validation. Sci Rep 2023; 13:6991. [PMID: 37117538 PMCID: PMC10144901 DOI: 10.1038/s41598-023-34220-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/26/2023] [Indexed: 04/30/2023] Open
Abstract
Although infection with severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) does not appear to be as serious a threat to public health as it was in 2020-2021, the increased transmissibility of multiple Omicron descendants may constitute a continuous challenge for health care systems, and reliable detection of new variants is still imperative. This study evaluates the performance of three SARS-CoV-2 diagnostic tests: Novel Coronavirus (2019-nCoV) Real Time Multiplex RT-PCR Kit (Liferiver); Vitassay qPCR SARS-CoV-2 (Vitaassay) and TaqPath COVID‑19 CE-IVD RT-PCR Kit (Thermo Fisher Scientific). The analytical sensitivity of the assays as well as their specificity were determined with the use of synthetic nucleic acid standards and clinical samples. All assays appeared to be 100% specific for SARS-CoV-2 RNA in general and the Omicron variant in particular. The LOD determined during this validation was 10 viral RNA copies/reaction for Liferiver and TaqPath and 100 viral RNA copies for Vitassay. We cannot exclude that the LOD for the Vitassay might be lower and close to the manufacturer's declared value of ≥ 20 genome copies/reaction, as we obtained 90% positive results for 10 viral RNA copies/reaction. Mean Ct values at the concentration of 10 viral RNA copies/reaction for the Liferiver, Vitassay and TaqPath kits (35, 37 and 33, respectively) were significantly lower than the cutoff values declared by the manufacturers (≤ 41, ≤ 40 and ≤ 37, respectively). We suggest reporting outcomes based on LOD and cutoff Ct values determined during internal validation rather than those declared by the assays' producers.
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Grants
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
- ZES.WL.2.2021 Faculty of Medicine, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz Poland
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Affiliation(s)
- Katarzyna Linkowska
- Department of Forensic Medicine, Collegium Medicum of the Nicolaus Copernicus University, Curie-Skłodowskiej Str. 9, 85-094, Bydgoszcz, Poland.
| | - Tomasz Bogiel
- Department of Microbiology, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz, Poland
| | | | - Andrzej Marszałek
- Department of Oncologic Pathology and Prophylaxis, Greater Poland Cancer Centre, Poznań University of Medical Sciences, Poznań, Poland
| | - Jarosław Starzyński
- Department of Tumor Pathology and Pathomorphology, Oncology Centre - Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
| | - Łukasz Szylberg
- Department of Tumor Pathology and Pathomorphology, Oncology Centre - Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
- Department of Perinatology, Gynaecology and Gynaecologic Oncology, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz, Poland
| | - Aleksandra Szwed-Kowalska
- Department of Laboratory Diagnostics, The Tadeusz Browicz Provincial Hospital for Infectious Diseases and Observation, Bydgoszcz, Poland
| | - Małgorzata Pawłowska
- Department of Infectious Diseases and Hepathology, Collegium Medicum of the Nicolaus Copernicus University, Bydgoszcz, Poland
| | - Tomasz Grzybowski
- Department of Forensic Medicine, Collegium Medicum of the Nicolaus Copernicus University, Curie-Skłodowskiej Str. 9, 85-094, Bydgoszcz, Poland
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Delgado JF, Vidal M, Julià G, Navarro G, Serrano RM, van den Eynde E, Navarro M, Calvet J, Gratacós J, Espasa M, Peña P. Validation of N Protein Antibodies to Diagnose Previous SARS-CoV-2 Infection in a Large Cohort of Healthcare Workers: Use of Roche Elecsys ® Immunoassay in the S Protein Vaccination Era. Viruses 2023; 15:v15040930. [PMID: 37112910 PMCID: PMC10146079 DOI: 10.3390/v15040930] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/05/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
The aim of this study was to validate the detection of anti-nucleocapsid protein (N protein) antibodies for the diagnosis of SARS-CoV-2 infection in light of the fact that most COVID-19 vaccines use the spike (S) protein as the antigen. Here, 3550 healthcare workers (HCWs) were enrolled from May 2020 (when no S protein vaccines were available). We defined SARS-CoV-2 infection if HCWs were found to be positive by RT-PCR or found to be positive in at least two different serological immunoassays. Serum samples from Biobanc I3PT-CERCA were analyzed by Roche Elecsys® (N protein) and Vircell IgG (N and S proteins) immunoassays. Discordant samples were reanalyzed with other commercial immunoassays. Roche Elecsys® showed the positivity of 539 (15.2%) HCWs, 664 (18.7%) were found to be positive by Vircell IgG immunoassays, and 164 samples (4.6%) showed discrepant results. According to our SARS-CoV-2 infection criteria, 563 HCWs had SARS-CoV-2 infection. The Roche Elecsys® immunoassay has a sensitivity, specificity, accuracy, and concordance with the presence of infection of 94.7%, 99.8%, 99.3%, and 0.96, respectively. Similar results were observed in a validation cohort of vaccinated HCWs. We conclude that the Roche Elecsys® SARS-CoV-2 N protein immunoassay demonstrated good performance in diagnosing previous SARS-CoV-2 infection in a large cohort of HCWs.
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Affiliation(s)
- Juan Francisco Delgado
- Immunology Laboratory, Clinic Laboratories Service, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Departament de Medicina, Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Mònica Vidal
- Immunology Laboratory, Clinic Laboratories Service, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Departament de Medicina, Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Germà Julià
- Immunology Laboratory, Clinic Laboratories Service, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Departament de Medicina, Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Gema Navarro
- Epidemiology Service, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Rosa María Serrano
- Occupational Health Department, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Eva van den Eynde
- Infection Disease Department, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Marta Navarro
- Infection Disease Department, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Joan Calvet
- Rheumatology Service, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Departament de Medicina, Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Jordi Gratacós
- Rheumatology Service, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Departament de Medicina, Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Mateu Espasa
- Microbiology Section, Laboratory Service, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
| | - Pilar Peña
- Occupational Health Department, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, 8207 Sabadell, Spain
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Liu LL, Zheng YH, Zhang YQ, Lin JP, Luo ZL, Yu LM, Gao SH, Chen F. The Role of Surveillance Inspections in Reducing False-Positives of SARS-CoV-2 Omicron Variants during the COVID-19 Epidemic. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2023; 2023:8508975. [PMID: 37124122 PMCID: PMC10132893 DOI: 10.1155/2023/8508975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 02/16/2023] [Accepted: 04/02/2023] [Indexed: 05/02/2023]
Abstract
Objective This study aims to assess the effectiveness of surveillance inspections conducted by the provincial health committee in Quanzhou city during a COVID-19 outbreak in reducing false-positive results in SARS-CoV-2 RT-PCR assays. Method The team conducted on-site inspections of laboratories that participated in mass screening, recording any violations of rules. Results The positive cases in five rounds of mass screening were 23, 173, and 4 in Licheng District, Fengze District, and Luojang District, respectively. The false-positive rates in the five rounds of mass screening were 0.0099%, 0.0063%, 0.0018%, 0.0006%, and 0%, respectively. The study also recorded that the number of violations in the seven selected laboratories was 36, 68, 69, 42, 60, 54 and 47. The corresponding false-positive rates were 0.0012%, 0.0060%, 0.0082%, 0.0032%, 0.0060%, 0.0027%, and 0.0021%, respectively. The study found a positive correlation between false-positive rates and the number of violations (r = 0.905, P=0.005), and an inverse correlation between false-positive rates and the frequency of surveillance inspections (r = -0.950, P < 0.001). Conclusion Daily surveillance inspection in laboratories can remind laboratories to strictly comply with standard procedures, focus on laboratory quality control, and reduce the occurrence of false-positive cases in SARS-CoV-2 nucleic acid tests to some extent. This study recommends that government decision-making departments establish policies and arrange experts to conduct daily surveillance inspections to improve laboratory quality control.
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Affiliation(s)
- Li-Li Liu
- Department of Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Clinical Laboratory Quality Control Center, Xiamen, China
| | - Yu-Hong Zheng
- Department of Laboratory, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - You-Quan Zhang
- Department of Laboratory, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Quanzhou, China
| | - Jin-Piao Lin
- Department of Laboratory, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Zhi-Lin Luo
- Department of Laboratory, The First Hospital of Putian City, Putian, China
| | - Liu-Min Yu
- Department of Laboratory, Affiliated Hospital of Putian University, Putian, China
| | - Shi-Hua Gao
- The Affiliated Hospital of Fujian Medical University of First Hospital of Nanping, Nanping, China
| | - Falin Chen
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, China
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Bello-Lemus Y, Anaya-Romero M, Gómez-Montoya J, Árquez M, González-Torres HJ, Navarro-Quiroz E, Pacheco-Londoño L, Pacheco-Lugo L, Acosta-Hoyos AJ. Comparative Analysis of In-House RT-qPCR Detection of SARS-CoV-2 for Resource-Constrained Settings. Diagnostics (Basel) 2022; 12:2883. [PMID: 36428942 PMCID: PMC9689939 DOI: 10.3390/diagnostics12112883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/26/2022] [Accepted: 11/11/2022] [Indexed: 11/23/2022] Open
Abstract
We developed and standardized an efficient and cost-effective in-house RT-PCR method to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We evaluated sensitivity, specificity, and other statistical parameters by different RT-qPCR methods including triplex, duplex, and simplex assays adapted from the initial World Health Organization- (WHO) recommended protocol. This protocol included the identification of the E envelope gene (E gene; specific to the Sarvecovirus genus), RdRp gene of the RNA-dependent RNA polymerase (specific for SARS-CoV-2), and RNase P gene as endogenous control. The detection limit of the E and the RdRp genes were 3.8 copies and 33.8 copies per 1 µL of RNA, respectively, in both triplex and duplex reactions. The sensitivity for the RdRp gene in the triplex and duplex RT-qPCR tests were 98.3% and 83.1%, respectively. We showed a decrease in sensitivity for the RdRp gene by 60% when the E gene acquired Ct values > 31 in the diagnostic tests. This is associated with the specific detection limit of each gene and possible interferences in the protocol. Hence, developing efficient and cost-effective methodologies that can be adapted to various health emergency scenarios is important, especially in developing countries or settings where resources are limited.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Antonio J. Acosta-Hoyos
- Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla 080002, Colombia
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10
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Wang Y, Li X, Wang Y, Tu Z, Xu J, Pan J, Zhou Q. Comparison of the performance of two real-time fluorescent quantitative PCR kits for the detection of SARS-CoV-2 nucleic acid: a study based on large real clinical samples. Virol J 2022; 19:191. [PMID: 36401275 PMCID: PMC9675236 DOI: 10.1186/s12985-022-01922-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 11/10/2022] [Indexed: 11/19/2022] Open
Abstract
Background The global pandemic of coronavirus disease 2019 (COVID-19) has led to the development of multiple detection kits by national manufacturers for severe acute respiratory syndrome coronavirus 2 viral nucleic acid testing. The purpose of this study is to evaluate the performance of different kits (i.e., Maccura kit and Sansure kit) in real clinical work using clinical samples, which will help with the optimization of the test kits. Method During the past three months (March–May 2022), 1399 pharyngeal swabs from suspected COVID-19 patients have been initially screened using the Maccura kit in Jilin, China, and the test results were verified using the Sansure kit. The cycle threshold (Ct) values generated by the two kits were compared at different viral load levels. Correlation and consistency of the Ct values were investigated using Spearman correlation, Deming regression, and Bland–Altman plots. The cut-off Ct values of the Maccura kit were recalculated by referencing the result of the Sansure kit as a standard. Furthermore, another 163 pharyngeal swabs from suspected COVID-19 patients were collected to verify the new cut-off values. Results As a result of the Maccura kit testing, 1192 positive cases and 207 suspected COVID-19 cases were verified. After re-examination by the Sansure kit, 1118 positive cases were confirmed. The difference between the Ct values provided by the two kits was statistically significant, except for the N gene at high viral load. The Ct values obtained from the two kits presented a linear positive correlation. The Maccura kit used new cut-off Ct values of 35.00 (ORF1ab gene) and 35.07 (N gene). Based on that, the validation pass rate for the new cut-off Ct values was 91.41%. Conclusion Since the Maccura kit is found to have false positives in actual clinical work, recalculation of the cut-off values can reduce this occurrence. In order to improve the accuracy of the testing, laboratories should use two kits for COVID-19 testing, and the adjusting and optimizing of the kits for their situation are needed.
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11
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SARS-CoV-2 RNA Testing Using Different Assays—Impact on Testing Strategies in a Clinical Setting. Int J Mol Sci 2022; 23:ijms232112845. [PMID: 36361632 PMCID: PMC9657822 DOI: 10.3390/ijms232112845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 11/22/2022] Open
Abstract
In order to assess SARS-CoV-2 real time quantitative polymerase chain reaction (RT-qPCR) results in a real-life setting, three independent laboratories in Graz (Austria) set up a continuous cross comparison schedule. The following test systems were used: The QIAGEN NeuMoDx SARS-CoV-2 Assay, the Allplex™ 2019-nCoV Assay (Seegene) on a MicroLab Nimbus (Hamilton) platform combined with RealStar SARS-CoV-2 RT-PCR Assay (Altona Diagnostics GmbH), and the cobas SARS-CoV-2 test on a fully automated cobas 6800 system (Roche). A total of 200 samples were analysed, 184 (92%) were found to be concordant with all testing platforms, 14 (7%) discordant. Two (1%) samples tested invalid on a single platform and were excluded from further analysis. Discordant results were distributed randomly across the assays. The Ct values from all assays correlated closely with each other. All discordant samples showed Ct values ≥ 26. SARS-CoV-2 RT-qPCR assays may show considerable variability, especially in samples with low viral RNA concentrations. Decision makers should thus balance the advantages and disadvantages of RT-qPCR for mass screening and adopt suitable strategies that ensure a rational management of positive samples with high Ct values.
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12
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Hou N, Wang L, Li M, Xie B, He L, Guo M, Liu S, Wang M, Zhang R, Wang K. Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis. Front Public Health 2022; 10:939095. [PMID: 36311632 PMCID: PMC9616120 DOI: 10.3389/fpubh.2022.939095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 07/25/2022] [Indexed: 01/25/2023] Open
Abstract
Background Chest computerized tomography (CT) plays an important role in detecting patients with suspected coronavirus disease 2019 (COVID-19), however, there are no systematic summaries on whether the chest CT findings of patients within mainland China are applicable to those found in patients outside. Methods Relevant studies were retrieved comprehensively by searching PubMed, Embase, and Cochrane Library databases before 15 April 2022. Quality assessment of diagnostic accuracy studies (QUADAS) was used to evaluate the quality of the included studies, which were divided into two groups according to whether they were in mainland China or outside. Data on diagnostic performance, unilateral or bilateral lung involvement, and typical chest CT imaging appearances were extracted, and then, meta-analyses were performed with R software to compare the CT features of COVID-19 pneumonia between patients from within and outside mainland China. Results Of the 8,258 studies screened, 19 studies with 3,400 patients in mainland China and 14 studies with 554 outside mainland China were included. Overall, the risk of quality assessment and publication bias was low. The diagnostic value of chest CT is similar between patients from within and outside mainland China (93, 91%). The pooled incidence of unilateral lung involvement (15, 7%), the crazy-paving sign (31, 21%), mixed ground-glass opacities (GGO) and consolidations (51, 35%), air bronchogram (44, 25%), vascular engorgement (59, 33%), bronchial wall thickening (19, 12%), and septal thickening (39, 26%) in patients from mainland China were significantly higher than those from outside; however, the incidence rates of bilateral lung involvement (75, 84%), GGO (78, 87%), consolidations (45, 58%), nodules (12, 17%), and pleural effusion (9, 15%) were significantly lower. Conclusion Considering that the chest CT features of patients in mainland China may not reflect those of the patients abroad, radiologists and clinicians should be familiar with various CT presentations suggestive of COVID-19 in different regions.
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Affiliation(s)
- Nianzong Hou
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of Medicine, Tongji University, Shanghai, China,Department of Hand and Foot Surgery, Zibo Central Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Zibo, China
| | - Lin Wang
- Department of Critical Care Medicine, Zibo Central Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Zibo, China
| | - Mingzhe Li
- School of Molecular and Cellular Biology, University of Leeds, Leeds, United Kingdom
| | - Bing Xie
- Department of Hand and Foot Surgery, Zibo Central Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Zibo, China
| | - Lu He
- Department of Urology, Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Mingyu Guo
- Department of Hand and Foot Surgery, Zibo Central Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Zibo, China
| | - Shuo Liu
- Department of Hand and Foot Surgery, Zibo Central Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Zibo, China
| | - Meiyu Wang
- Department of Cardiology, The People's Hospital of Zhangdian District, Zibo, China
| | - Rumin Zhang
- Department of Critical Care Medicine, Zibo Central Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Zibo, China
| | - Kai Wang
- Department of Critical Care Medicine, Zibo Central Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Zibo, China,*Correspondence: Kai Wang
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13
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Bangalee A, Govender K, Bangalee V. A pandemic guided by the SARS-CoV-2 PCR test: What should the clinician know? S Afr Fam Pract (2004) 2022; 64:e1-e4. [PMID: 36226952 PMCID: PMC9559189 DOI: 10.4102/safp.v64i1.5492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 05/09/2022] [Accepted: 05/14/2022] [Indexed: 12/03/2022] Open
Abstract
Amidst an ever-evolving pandemic, the demand for timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) continues to increase. Critically, managing and containing the spread of the disease requires expedient testing of infected individuals. Presently, the gold standard for the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection remains the polymerase chain reaction (PCR) test. Potential vulnerabilities of this testing methodology can range from preanalytical variables to laboratory-related analytical factors and, ultimately, to the interpretation of results.
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Affiliation(s)
- Avania Bangalee
- Department of Medical Virology, Faculty of Health Sciences, Prinshof Campus, University of Pretoria, South Africa; and, National Health Laboratory Services, Johannesburg.
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14
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Wang G, Wang L, Meng Z, Su X, Jia C, Qiao X, Pan S, Chen Y, Cheng Y, Zhu M. Visual Detection of COVID-19 from Materials Aspect. ADVANCED FIBER MATERIALS 2022; 4:1304-1333. [PMID: 35966612 PMCID: PMC9358106 DOI: 10.1007/s42765-022-00179-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/25/2022] [Indexed: 05/25/2023]
Abstract
Abstract In the recent COVID-19 pandemic, World Health Organization emphasized that early detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several diagnostic methods, such as reverse transcription-polymerase chain reaction (RT-PCR) and lateral flow immunoassay (LFIA), have been applied based on the mechanism of specific recognition and binding of the probes to viruses or viral antigens. Although the remarkable progress, these methods still suffer from inadequate cellular materials or errors in the detection and sampling procedure of nasopharyngeal/oropharyngeal swab collection. Therefore, developing accurate, ultrafast, and visualized detection calls for more advanced materials and technology urgently to fight against the epidemic. In this review, we first summarize the current methodologies for SARS-CoV-2 diagnosis. Then, recent representative examples are introduced based on various output signals (e.g., colorimetric, fluorometric, electronic, acoustic). Finally, we discuss the limitations of the methods and provide our perspectives on priorities for future test development. Graphical Abstract
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Affiliation(s)
- Gang Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Le Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Zheyi Meng
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Xiaolong Su
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Chao Jia
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Xiaolan Qiao
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Shaowu Pan
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Yinjun Chen
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Yanhua Cheng
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
| | - Meifang Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China
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15
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Wang L, Xu M, Zhou H, Yan K, Duan S, Xue D, Wang Y, Di B, Hu C. Teaching PCR for Simultaneous Sensing of Gene Transcription and Downstream Metabolites by Cucurbit[8]uril-Mediated Intervention of Polymerase Activity. Anal Chem 2022; 94:8715-8723. [PMID: 35671188 DOI: 10.1021/acs.analchem.2c01103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The target of typical PCR analysis is restricted to nucleic acids. To this end, we report here a novel strategy to simultaneously detect genetic and metabolic markers using commercial PCR kits with cucurbit[8]urils (CB[8]) implemented to manipulate the activity of Taq DNA polymerase. CB[8] binds with the nonionic surfactants and displaces them from the polymerase surface, resulting in decreased enzyme activity. Meanwhile, the inhibited enzyme can be reversibly activated when spermine, the downstream metabolite of ornithine decarboxylase (ODC), is present in the sample, which competitively binds to CB[8] and recovers polymerase activity. CB[8] was implemented in conventional PCR kits not only to reduce false-positive results but also to extend the detection range of PCR technology. With this novel method to detect ODC in cell lysates containing both the nucleotides and intracellular metabolites, positive results were only observed in highly active HEK 293T cells, whereas silent cells treated with ODC inhibitor showed negative readouts, therefore providing a simple but elegant dual-modality PCR method for precision diagnosis.
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Affiliation(s)
- Lancheng Wang
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
| | - Mingjie Xu
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
| | - Huimin Zhou
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
| | - Kun Yan
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
| | - Shiqi Duan
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
| | - Dandan Xue
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
| | - Youmei Wang
- Key Laboratory of Drug Monitoring and Control, Drug Intelligence and Forensic Center, Ministry of Public Security, No. 18 Dongbeiwang West Road, Beijing 100193, China
| | - Bin Di
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
| | - Chi Hu
- China National Narcotics Control Commission, China Pharmaceutical University, Joint Laboratory on Key Technologies of Narcotics Control, No. 24 Tongjiaxiang Road, Nanjing 210009, China
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16
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Xu R, Cheng Y, Li X, Zhang Z, Zhu M, Qi X, Chen L, Han L. Aptamer-based signal amplification strategies coupled with microchips for high-sensitivity bioanalytical applications: A review. Anal Chim Acta 2022; 1209:339893. [DOI: 10.1016/j.aca.2022.339893] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/19/2022] [Accepted: 04/28/2022] [Indexed: 02/04/2023]
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17
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Radvánszka M, Paul ED, Hajdu R, Boršová K, Kováčová V, Putaj P, Bírová S, Čirková I, Čarnecký M, Buranovská K, Szobi A, Vojtaššáková N, Drobná D, Čabanová V, Sláviková M, Ličková M, Vaňová V, Fumačová Havlíková S, Lukáčiková Ľ, Kajanová I, Koči J, Rusňáková D, Sedláčková T, Max KEA, Tuschl T, Szemes T, Klempa B, Čekan P. Sequential development of several RT-qPCR tests using LNA nucleotides and dual probe technology to differentiate SARS-CoV-2 from influenza A and B. Microb Biotechnol 2022; 15:1995-2021. [PMID: 35316574 PMCID: PMC9111289 DOI: 10.1111/1751-7915.14031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/24/2022] [Accepted: 03/05/2022] [Indexed: 12/19/2022] Open
Abstract
Sensitive and accurate RT-qPCR tests are the primary diagnostic tools to identify SARS-CoV-2-infected patients. While many SARS-CoV-2 RT-qPCR tests are available, there are significant differences in test sensitivity, workflow (e.g. hands-on-time), gene targets and other functionalities that users must consider. Several publicly available protocols shared by reference labs and public health authorities provide useful tools for SARS-CoV-2 diagnosis, but many have shortcomings related to sensitivity and laborious workflows. Here, we describe a series of SARS-CoV-2 RT-qPCR tests that are originally based on the protocol targeting regions of the RNA-dependent RNA polymerase (RdRp) and envelope (E) coding genes developed by the Charité Berlin. We redesigned the primers/probes, utilized locked nucleic acid nucleotides, incorporated dual probe technology and conducted extensive optimizations of reaction conditions to enhance the sensitivity and specificity of these tests. By incorporating an RNase P internal control and developing multiplexed assays for distinguishing SARS-CoV-2 and influenza A and B, we streamlined the workflow to provide quicker results and reduced consumable costs. Some of these tests use modified enzymes enabling the formulation of a room temperature-stable master mix and lyophilized positive control, thus increasing the functionality of the test and eliminating cold chain shipping and storage. Moreover, a rapid, RNA extraction-free version enables high sensitivity detection of SARS-CoV-2 in about an hour using minimally invasive, self-collected gargle samples. These RT-qPCR assays can easily be implemented in any diagnostic laboratory and can provide a powerful tool to detect SARS-CoV-2 and the most common seasonal influenzas during the vaccination phase of the pandemic.
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Affiliation(s)
- Monika Radvánszka
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Evan D Paul
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Roman Hajdu
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA.,College of Medical, Veterinary and Life Sciences, School of Life Sciences, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK
| | - Kristína Boršová
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Viera Kováčová
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA.,Institute for Biological Physics, University of Cologne, Zülpicher Str. 77, Köln, 50937, Germany
| | - Piotr Putaj
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Stanislava Bírová
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Ivana Čirková
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Martin Čarnecký
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Katarína Buranovská
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Adrián Szobi
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Nina Vojtaššáková
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Diana Drobná
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
| | - Viktória Čabanová
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Monika Sláviková
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Martina Ličková
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Veronika Vaňová
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Sabína Fumačová Havlíková
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Ľubomíra Lukáčiková
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Ivana Kajanová
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Juraj Koči
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Diana Rusňáková
- Geneton s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovičova 6, Bratislava, 842 15, Slovakia
| | - Tatiana Sedláčková
- Geneton s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia
| | - Klaas E A Max
- Laboratory for RNA Molecular Biology, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
| | - Thomas Tuschl
- Laboratory for RNA Molecular Biology, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
| | - Tomáš Szemes
- Geneton s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovičova 6, Bratislava, 842 15, Slovakia.,Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia
| | - Boris Klempa
- Biomedical Research Center, Institute of Virology, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 05, Slovakia
| | - Pavol Čekan
- MultiplexDX, s.r.o., Comenius University Science Park, Ilkovičova 8, Bratislava, 841 04, Slovakia.,MultiplexDX, Inc, One Research Court, Suite 450, Rockville, MD, 20850, USA
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18
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Li G, Li X, Zhuang S, Wang L, Zhu Y, Chen Y, Sun W, Wu Z, Zhou Z, Chen J, Huang X, Wang J, Li D, Li W, Wang H, Wei W. Gene editing and its applications in biomedicine. SCIENCE CHINA. LIFE SCIENCES 2022; 65:660-700. [PMID: 35235150 PMCID: PMC8889061 DOI: 10.1007/s11427-021-2057-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 12/06/2021] [Indexed: 02/06/2023]
Abstract
The steady progress in genome editing, especially genome editing based on the use of clustered regularly interspaced short palindromic repeats (CRISPR) and programmable nucleases to make precise modifications to genetic material, has provided enormous opportunities to advance biomedical research and promote human health. The application of these technologies in basic biomedical research has yielded significant advances in identifying and studying key molecular targets relevant to human diseases and their treatment. The clinical translation of genome editing techniques offers unprecedented biomedical engineering capabilities in the diagnosis, prevention, and treatment of disease or disability. Here, we provide a general summary of emerging biomedical applications of genome editing, including open challenges. We also summarize the tools of genome editing and the insights derived from their applications, hoping to accelerate new discoveries and therapies in biomedicine.
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Affiliation(s)
- Guanglei Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Xiangyang Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Songkuan Zhuang
- Department of Clinical Laboratory, Shenzhen Institute of Translational Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China
| | - Liren Wang
- Shanghai Frontiers Science Research Base of Genome Editing and Cell Therapy, Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yifan Zhu
- Shanghai Frontiers Science Research Base of Genome Editing and Cell Therapy, Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yangcan Chen
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regenerative Medicine, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wen Sun
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regenerative Medicine, Chinese Academy of Sciences, Beijing, 100101, China
| | - Zeguang Wu
- Biomedical Pioneering Innovation Center, Beijing Advanced Innovation Center for Genomics, Peking-Tsinghua Center for Life Sciences, Peking University Genome Editing Research Center, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China
| | - Zhuo Zhou
- Biomedical Pioneering Innovation Center, Beijing Advanced Innovation Center for Genomics, Peking-Tsinghua Center for Life Sciences, Peking University Genome Editing Research Center, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China
| | - Jia Chen
- Gene Editing Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Xingxu Huang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Jin Wang
- Department of Clinical Laboratory, Shenzhen Institute of Translational Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China.
| | - Dali Li
- Shanghai Frontiers Science Research Base of Genome Editing and Cell Therapy, Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Wei Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regenerative Medicine, Chinese Academy of Sciences, Beijing, 100101, China.
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- HIT Center for Life Sciences, Harbin Institute of Technology, Harbin, 150001, China.
| | - Haoyi Wang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regenerative Medicine, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Wensheng Wei
- Biomedical Pioneering Innovation Center, Beijing Advanced Innovation Center for Genomics, Peking-Tsinghua Center for Life Sciences, Peking University Genome Editing Research Center, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China.
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19
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Klaczko ME, Lucas K, Salminen AT, McCloskey MC, Ozgurun B, Ward BM, Flax J, McGrath JL. Rapid and specific detection of intact viral particles using functionalized microslit silicon membranes as a fouling-based sensor. Analyst 2021; 147:213-222. [PMID: 34933322 DOI: 10.1039/d1an01504d] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The COVID-19 pandemic demonstrated the public health benefits of reliable and accessible point-of-care (POC) diagnostic tests for viral infections. Despite the rapid development of gold-standard reverse transcription polymerase chain reaction (RT-PCR) assays for SARS-CoV-2 only weeks into the pandemic, global demand created logistical challenges that delayed access to testing for months and helped fuel the spread of COVID-19. Additionally, the extreme sensitivity of RT-PCR had a costly downside as the tests could not differentiate between patients with active infection and those who were no longer infectious but still shedding viral genomes. To address these issues for the future, we propose a novel membrane-based sensor that only detects intact virions. The sensor combines affinity and size based detection on a membrane-based sensor and does not require external power to operate or read. Specifically, the presence of intact virions, but not viral debris, fouls the membrane and triggers a macroscopically visible hydraulic switch after injection of a 40 μL sample with a pipette. The device, which we call the μSiM-DX (microfluidic device featuring a silicon membrane for diagnostics), features a biotin-coated microslit membrane with pores ∼2-3× larger than the intact virus. Streptavidin-conjugated antibody recognizing viral surface proteins are incubated with the sample for ∼1 hour prior to injection into the device, and positive/negative results are obtained within ten seconds of sample injection. Proof-of-principle tests have been performed using preparations of vaccinia virus. After optimizing slit pore sizes and porous membrane area, the fouling-based sensor exhibits 100% specificity and 97% sensitivity for vaccinia virus (n = 62). Moreover, the dynamic range of the sensor extends at least from 105.9 virions per mL to 1010.4 virions per mL covering the range of mean viral loads in symptomatic COVID-19 patients (105.6-107 RNA copies per mL). Forthcoming work will test the ability of our sensor to perform similarly in biological fluids and with SARS-CoV-2, to fully test the potential of a membrane fouling-based sensor to serve as a PCR-free alternative for POC containment efforts in the spread of infectious disease.
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Affiliation(s)
- Michael E Klaczko
- Department of Chemistry, University of Rochester, Rochester, NY, 14627 USA
| | - Kilean Lucas
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, 14627 USA.
| | - Alec T Salminen
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, 14627 USA.
| | - Molly C McCloskey
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, 14627 USA.
| | - Baturay Ozgurun
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, 14627 USA.
| | - Brian M Ward
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY, 14642 USA
| | - Jonathan Flax
- Department of Urology, University of Rochester Medical Center, Rochester, NY, 14642 USA
| | - James L McGrath
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, 14627 USA.
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20
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Routsias JG, Mavrouli M, Tsoplou P, Dioikitopoulou K, Tsakris A. Diagnostic performance of rapid antigen tests (RATs) for SARS-CoV-2 and their efficacy in monitoring the infectiousness of COVID-19 patients. Sci Rep 2021; 11:22863. [PMID: 34819567 PMCID: PMC8613285 DOI: 10.1038/s41598-021-02197-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 11/01/2021] [Indexed: 12/23/2022] Open
Abstract
The most widely used test for the diagnosis of SARS-CoV-2 infection is a PCR test. PCR has very high sensitivity and is able to detect very low amounts of RNA. However, many individuals receiving a positive test result in a context of a PCR-based surveillance might be infected with SARS-CoV-2, but they are not contagious at the time of the test. The question arises regards if the cost effective, portable rapid antigen tests (RATs) have a better performance than PCR in identification of infectious individuals. In this direction, we examined the diagnostic performance of RATs from 14 different manufacturers in 400 clinical samples with known rRT-PCR cycles threshold (cT) and 50 control samples. Substantial variability was observed in the limit of detection (LOD) of different RATs (cT = 26.8-34.7). The fluorescence-based RAT exhibited a LOD of cT = 34.7. The use of the most effective RATs leads to true positive rates (sensitivities) of 99.1% and 90.9% for samples with cT ≤ 30 and cT ≤ 33, respectively, percentages that can guarantee a sensitivity high enough to identify contagious patients. RAT testing may also substantially reduce the quarantine period for infected individuals without compromising personal or public safety.
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Affiliation(s)
- John G Routsias
- Department of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Maria Mavrouli
- Department of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiota Tsoplou
- GeneDiagnosis, Private Molecular Genetics Laboratory, Mihali Moraiti 93 & Andersen, Neo Psichiko, Athens, Greece
| | - Kyriaki Dioikitopoulou
- GeneDiagnosis, Private Molecular Genetics Laboratory, Mihali Moraiti 93 & Andersen, Neo Psichiko, Athens, Greece
| | - Athanasios Tsakris
- Department of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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21
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Bock S, Hoffmann B, Beer M, Wernike K. Saving Resources: SARS-CoV-2 Diagnostics by Real-Time RT-PCR Using Reduced Reaction Volumes. Diseases 2021; 9:84. [PMID: 34842648 PMCID: PMC8628695 DOI: 10.3390/diseases9040084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/04/2021] [Accepted: 11/11/2021] [Indexed: 01/12/2023] Open
Abstract
Since the beginning of 2020, the betacoronavirus SARS-CoV-2 is causing a global pandemic of an acute respiratory disease termed COVID-19. The diagnostics of the novel disease is primarily based on direct virus detection by RT-PCR; however, the availability of test kits may become a major bottleneck, when millions of tests are performed per week. To increase the flexibility of SARS-CoV-2 diagnostics, three real-time RT-PCR assays listed on the homepage of the World Health Organization were selected and investigated regarding their compatibility with three different RT-PCR kits. Furthermore, the reaction volume of the PCR chemistry was reduced up to half of the original protocol to make the individual reactions more cost- and resource-effective. When testing dilution series of culture-grown virus, nearly identical quantification cycle values (Cq) were obtained for all RT-PCR assay/chemistry combinations. Regarding the SARS-CoV-2 detection in clinical samples, agreeing results were obtained for all combinations for virus negative specimens and swabs containing high to medium viral genome loads. In cases of very low SARS-CoV-2 genome loads (Cq > 36), inconsistent results were observed, with some test runs scoring negative and some positive. However, no preference of a specific target within the viral genome (E, RdRp, or N) or of a certain chemistry was seen. In summary, a reduction of the reaction volume and the type of PCR chemistry did not influence the PCR sensitivity.
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Affiliation(s)
- Sabine Bock
- Berlin-Brandenburg State Laboratory, 15236 Frankfurt, Germany;
| | - Bernd Hoffmann
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, 17493 Greifswald, Germany; (B.H.); (M.B.)
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, 17493 Greifswald, Germany; (B.H.); (M.B.)
| | - Kerstin Wernike
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, 17493 Greifswald, Germany; (B.H.); (M.B.)
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22
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Clinical validation of automated and rapid mariPOC SARS-CoV-2 antigen test. Sci Rep 2021; 11:20363. [PMID: 34645929 PMCID: PMC8514458 DOI: 10.1038/s41598-021-99886-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 10/01/2021] [Indexed: 12/23/2022] Open
Abstract
COVID-19 diagnostics was quickly ramped up worldwide early 2020 based on the detection of viral RNA. However, based on the scientific knowledge for pre-existing coronaviruses, it was expected that the SARS-CoV-2 RNA will be detected from symptomatic and at significant rates also from asymptomatic individuals due to persistence of non-infectious RNA. To increase the efficacy of diagnostics, surveillance, screening and pandemic control, rapid methods, such as antigen tests, are needed for decentralized testing and to assess infectiousness. A novel automated mariPOC SARS-CoV-2 test was developed for the detection of conserved structural viral nucleocapsid proteins. The test utilizes sophisticated optical laser technology for two-photon excitation and individual detection of immunoassay solid-phase particles. We validated the new method against qRT-PCR. Sensitivity of the test was 100.0% (13/13) directly from nasopharyngeal swab specimens and 84.4% (38/45) from swab specimens in undefined transport mediums. Specificity of the test was 100.0% (201/201). The test's limit of detection was 2.7 TCID50/test. It showed no cross-reactions. Our study shows that the new test can detect infectious individuals already in 20 min with clinical sensitivity close to qRT-PCR. The mariPOC is a versatile platform for syndromic testing and for high capacity infection control screening of infectious individuals.
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23
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Klement RJ, Bandyopadhyay PS. The Epistemology of a Positive SARS-CoV-2 Test. Acta Biotheor 2021; 69:359-375. [PMID: 32888175 PMCID: PMC7473592 DOI: 10.1007/s10441-020-09393-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 08/19/2020] [Indexed: 12/21/2022]
Abstract
We investigate the epistemological consequences of a positive polymerase chain reaction SARS-CoV test for two relevant hypotheses: (i) V is the hypothesis that an individual has been infected with SARS-CoV-2; (ii) C is the hypothesis that SARS-CoV-2 is the cause of flu-like symptoms in a given patient. We ask two fundamental epistemological questions regarding each hypothesis: First, how much confirmation does a positive test lend to each hypothesis? Second, how much evidence does a positive test provide for each hypothesis against its negation? We respond to each question within a formal Bayesian framework. We construe degree of confirmation as the difference between the posterior probability of the hypothesis and its prior, and the strength of evidence for a hypothesis against its alternative in terms of their likelihood ratio. We find that test specificity-and coinfection probabilities when making inferences about C-were key determinants of confirmation and evidence. Tests with < 87% specificity could not provide strong evidence (likelihood ratio > 8) for V against ¬V regardless of sensitivity. Accordingly, low specificity tests could not provide strong evidence in favor of C in all plausible scenarios modeled. We also show how a positive influenza A test disconfirms C and provides weak evidence against C in dependence on the probability that the patient is influenza A infected given that his/her symptoms are not caused by SARS-CoV-2. Our analysis points out some caveats that should be considered when attributing symptoms or death of a positively tested patient to SARS-CoV-2.
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Affiliation(s)
- Rainer Johannes Klement
- Department of Radiotherapy and Radiation Oncology, Leopoldina Hospital Schweinfurt, Robert-Koch-Straße 10, 97422, Schweinfurt, Germany.
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24
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Chen Z, Xu W, Ma W, Shi X, Li S, Hao M, Fang Y, Zhang L. Clinical laboratory evaluation of COVID-19. Clin Chim Acta 2021; 519:172-182. [PMID: 33939954 PMCID: PMC8086377 DOI: 10.1016/j.cca.2021.04.022] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 04/20/2021] [Accepted: 04/28/2021] [Indexed: 01/08/2023]
Abstract
COVID-19, caused by SARS-CoV-2, is a highly infectious disease, and clinical laboratory detection has played important roles in its diagnosis and in evaluating progression of the disease. Nucleic acid amplification testing or gene sequencing can serve as pathogenic evidence of COVID-19 diagnosing for clinically suspected cases, and dynamic monitoring of specific antibodies (IgM, IgA, and IgG) is an effective complement for false-negative detection of SARS-CoV-2 nucleic acid. Antigen tests to identify SARS-CoV-2 are recommended in the first week of infection, which is associated with high viral loads. Additionally, many clinical laboratory indicators are abnormal as the disease evolves. For example, from moderate to severe and critical cases, leukocytes, neutrophils, and the neutrophil-lymphocyte ratio increase; conversely, lymphocytes decrease progressively but are over activated. LDH, AST, ALT, CK, high-sensitivity troponin I, and urea also increase progressively, and increased D-dimer is an indicator of severe disease and an independent risk factor for death. Severe infection leads to aggravation of inflammation. Inflammatory biomarkers and cytokines, such as CRP, SAA, ferritin, IL-6, and TNF-α, increase gradually. High-risk COVID-19 patients with severe disease, such as the elderly and those with underlying diseases (cardiovascular disease, diabetes, chronic respiratory disease, hypertension, obesity, and cancer), should be monitored dynamically, which will be helpful as an early warning of serious diseases.
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Affiliation(s)
- Zhufeng Chen
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, PR China
| | - Wanju Xu
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, PR China
| | - Wanshan Ma
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, PR China
| | - Xiaohong Shi
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, PR China
| | - Shuomin Li
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, PR China
| | - Mingju Hao
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, PR China
| | - Yuanxun Fang
- Rural Vitalization Research Institute of Qilu, Shandong Agriculture and Engineering University, Jinan, PR China
| | - Li Zhang
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, PR China.
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25
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Role of Laboratory Medicine in SARS-CoV-2 Diagnostics. Lessons Learned from a Pandemic. Healthcare (Basel) 2021; 9:healthcare9070915. [PMID: 34356292 PMCID: PMC8303636 DOI: 10.3390/healthcare9070915] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 12/21/2022] Open
Abstract
Since the 2019 novel coronavirus outbreak began in Wuhan, China, diagnostic methods in the field of molecular biology have been developing faster than ever under the vigilant eye of world's research community. Unfortunately, the medical community was not prepared for testing such large volumes or ranges of biological materials, whether blood samples for antibody immunological testing, or salivary/swab samples for real-time PCR. For this reason, many medical diagnostic laboratories have made the switch to working in the field of molecular biology, and research undertaken to speed up the flow of samples through laboratory. The aim of this narrative review is to evaluate the current literature on laboratory techniques for the diagnosis of SARS-CoV-2 infection available on pubmed.gov, Google Scholar, and according to the writers' knowledge and experience of the laboratory medicine. It assesses the available information in the field of molecular biology by comparing real-time PCR, LAMP technique, RNA sequencing, and immunological diagnostics, and examines the newest techniques along with their limitations for use in SARS-CoV-2 diagnostics.
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26
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Gededzha MP, Mampeule N, Jugwanth S, Zwane N, David A, Burgers WA, Blackburn JM, Grove JS, George JA, Sanne I, Scott L, Stevens W, Mayne ES. Performance of the EUROIMMUN Anti-SARS-CoV-2 ELISA Assay for detection of IgA and IgG antibodies in South Africa. PLoS One 2021; 16:e0252317. [PMID: 34161348 PMCID: PMC8221517 DOI: 10.1371/journal.pone.0252317] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/13/2021] [Indexed: 12/25/2022] Open
Abstract
Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) has been identified as the causative agent for causing the clinical syndrome of COVID -19. Accurate detection of SARS-CoV-2 infection is not only important for management of infected individuals but also to break the chain of transmission. South Africa is the current epicenter of SARS-CoV-2 infection in Africa. To optimize the diagnostic algorithm for SARS-CoV-2 in the South African setting, the study aims to evaluate the diagnostic performance of the EUROIMMUN Anti-SARS-CoV-2 assays. This study reported the performance of EUROIMMUN enzyme-linked immunosorbent assay (ELISA) for semi-quantitative detection of IgA and IgG antibodies in serum and plasma samples targeting the recombinant S1 domain of the SARS-CoV-2 spike protein as antigen. Samples were collected from 391 individuals who had tested positive for SARS-CoV-2 and 139 SARS CoV-2 negative controls. Samples were stratified by number of days' post-PCR diagnosis and symptoms. The sensitivity of EUROIMMUN IgG was 64.1% (95% CI: 59.1-69.0%) and 74.3% (95% CI: 69.6-78.6%) for IgA and the specificity was lower for IgA [84.2% (95% CI: 77-89.2%)] than IgG [95.2% (95% CI: 90.8-98.4%)]. The EUROIMMUN Anti-SARS-CoV-2 ELISA Assay sensitivity was higher for IgA but low for IgG and improved for both assays in symptomatic individuals and at later timepoints post PCR diagnosis.
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Affiliation(s)
- Maemu P. Gededzha
- Department of Immunology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- National Health Laboratory Services, Johannesburg, South Africa
| | - Nakampe Mampeule
- Department of Immunology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- National Health Laboratory Services, Johannesburg, South Africa
| | - Sarika Jugwanth
- Department of Immunology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- National Health Laboratory Services, Johannesburg, South Africa
| | - Nontobeko Zwane
- Department of Immunology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anura David
- Department of Molecular Medicine and Haematology, School of Pathology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Wendy A. Burgers
- Division of Medical Virology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Cape Town, South Africa
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Jonathan M. Blackburn
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Divisions of Chemical and System Biology, Department of Integrative Biomedical Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Jurette S. Grove
- National Health Laboratory Services, Johannesburg, South Africa
- Department of Chemical Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jaya A. George
- National Health Laboratory Services, Johannesburg, South Africa
- Department of Chemical Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ian Sanne
- Clinical HIV Research Unit, Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lesley Scott
- National Health Laboratory Services, Johannesburg, South Africa
- Department of Molecular Medicine and Haematology, School of Pathology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Wendy Stevens
- National Health Laboratory Services, Johannesburg, South Africa
- Department of Molecular Medicine and Haematology, School of Pathology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Elizabeth S. Mayne
- Department of Immunology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- National Health Laboratory Services, Johannesburg, South Africa
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27
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Combination of rRT-PCR and Anti-Nucleocapsid/Anti-Spike Antibodies to Characterize Specimens with Very Low Viral SARs-CoV-2 Load: A Real-Life Experience. Microorganisms 2021; 9:microorganisms9061263. [PMID: 34200837 PMCID: PMC8230444 DOI: 10.3390/microorganisms9061263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 05/28/2021] [Accepted: 06/08/2021] [Indexed: 11/17/2022] Open
Abstract
The objective of the present study was to evaluate the true positivity among people, whose results of initial testing of nasopharyngeal swabs (NPS) showed a very low viral load of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Seventy-seven people detected with low viral loads of SARs-CoV-2 in nasopharyngeal samples (Ct ≥ 35) were enrolled in the study. For this purpose, a second NPS was collected for rRT-PCR (real-time reverse transcription polymerase chain reaction) combined with a pair of serum samples for detection of anti-nucleocapsid (anti-N) and anti-spike (anti-S) antibodies. In 8 people, subsequent examinations indicated an increase in viral loads, thereafter, followed by an increase of anti-N and anti-S antibodies, findings compatible with an early stage of COVID-19 infection. In 9 people, who already had increased anti-N antibodies, subsequent examination showed a decrease or absence of viral load and an increase in antibodies, indicative of a late stage of COVID-19 infection. In 60 people, subsequent examination showed absence of infection (as indicated by absence of viral load and antibodies). We propose that the combination of a second NPS and one serum-specimen, both taken three days after the first NPS, helps significantly to avoid false-positive results.
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28
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Hofman P, Boutros J, Benchetrit D, Benzaquen J, Leroy S, Tanga V, Bordone O, Allégra M, Lespinet V, Fayada J, Maniel C, Griffonnet J, Selva E, Troncone G, Portella G, Lavrut T, Chemla R, Carles M, Ilié M, Marquette C. A rapid near-patient RT-PCR test for suspected COVID-19: a study of the diagnostic accuracy. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:921. [PMID: 34350236 PMCID: PMC8263856 DOI: 10.21037/atm-21-690] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 03/21/2021] [Indexed: 01/02/2023]
Abstract
Background Management of large numbers of reverse transcriptase-polymerase chain reactions (RT-PCR) for diagnosis of coronavirus 2019 disease (COVID-19) requires robust infrastructures, located in dedicated premises with a high standard of biosafety procedures, and well-trained personnel. The handling of a “run-of-river sample” to obtain rapid reporting of results is challenging. Methods We studied the clinical performance of the Idylla™ SARS-CoV-2 Test (index test) on a platform capable of fully automated nucleic acid testing including extraction, amplification, and detection in a single-use cartridge to establish the diagnosis of COVID-19. The study was conducted on a prospective cohort of 112 volunteers with recent symptoms and an unknown SARS-CoV-2 status who came to free screening centers of the Nice metropolitan area. All subjects underwent bilateral nasopharyngeal sampling. One sample was processed using the index test, the other using the standard of care RT-PCR. Samples were treated blind. Results Most of the participants (70%) were sampled within 4 days of symptom onset. Forty-five (40.2%) were positive for COVID-19. No clinical symptoms were distinguished between SARS-CoV-2 RT-PCR positive and negative subjects except anosmia and dysgeusia. Positive and negative agreement between the index and the standard of care test was 100%. Conclusions The Idylla™ SARS-CoV-2 Test is very sensitive, specific, rapid and easy to use in a near-patient RT-PCR approach to distinguish between symptomatic SARS-CoV-2 positive and negative patients in selected settings.
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Affiliation(s)
- Paul Hofman
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France.,Institute of Research on Cancer and Aging (IRCAN), Université Côte d'Azur, CNRS, INSERM, Nice, France
| | - Jacques Boutros
- Department of Pulmonary Medicine and Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France
| | | | - Jonathan Benzaquen
- Institute of Research on Cancer and Aging (IRCAN), Université Côte d'Azur, CNRS, INSERM, Nice, France.,Department of Pulmonary Medicine and Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France
| | - Sylvie Leroy
- Department of Pulmonary Medicine and Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France.,CNRS UMR 7275 - Institut de Pharmacologie Moléculaire et Cellulaire - Université Côte d'Azur, Nice, France
| | - Virginie Tanga
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France
| | - Olivier Bordone
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France
| | - Maryline Allégra
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France
| | - Virginie Lespinet
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France
| | - Julien Fayada
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France
| | - Charlotte Maniel
- Department of Pulmonary Medicine and Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France
| | - Jennifer Griffonnet
- Department of Pulmonary Medicine and Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France
| | - Eric Selva
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France
| | - Giancarlo Troncone
- Department of Public Health, University of Naples Frederico II, Naples, Italy
| | - Giuseppe Portella
- Department of Public Health, University of Naples Frederico II, Naples, Italy
| | - Thibaut Lavrut
- Laboratoire de Virologie CHU de Nice, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, Nice, France
| | | | - Michel Carles
- Department of Infectious Diseases, Université Côte d'Azur, Centre Hopsitalier Universitaire de Nice, Nice, France
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France.,Université Côte d'Azur, FHU OncoAge, Centre Hospitalier Universitaire de Nice, Hospital-Related Biobank (BB-0033-00025), Nice, France.,Institute of Research on Cancer and Aging (IRCAN), Université Côte d'Azur, CNRS, INSERM, Nice, France
| | - Charles Marquette
- Institute of Research on Cancer and Aging (IRCAN), Université Côte d'Azur, CNRS, INSERM, Nice, France.,Department of Pulmonary Medicine and Oncology, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Nice, France
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29
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Aukema W, Malhotra BR, Goddek S, Kämmerer U, Borger P, McKernan K, Klement RJ. Bayes Lines Tool (BLT): a SQL-script for analyzing diagnostic test results with an application to SARS-CoV-2-testing. F1000Res 2021; 10:369. [PMID: 35284065 PMCID: PMC8891718 DOI: 10.12688/f1000research.51061.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/11/2022] [Indexed: 11/20/2022] Open
Abstract
The performance of diagnostic tests crucially depends on the disease prevalence, test sensitivity, and test specificity. However, these quantities are often not well known when tests are performed outside defined routine lab procedures which make the rating of the test results somewhat problematic. A current example is the mass testing taking place within the context of the world-wide SARS-CoV-2 crisis. Here, for the first time in history, laboratory test results have a dramatic impact on political decisions. Therefore, transparent, comprehensible, and reliable data is mandatory. It is in the nature of wet lab tests that their quality and outcome are influenced by multiple factors reducing their performance by handling procedures, underlying test protocols, and analytical reagents. These limitations in sensitivity and specificity have to be taken into account when calculating the real test results. As a resolution method, we have developed a Bayesian calculator, the Bayes Lines Tool (BLT), for analyzing disease prevalence, test sensitivity, test specificity, and, therefore, true positive, false positive, true negative, and false negative numbers from official test outcome reports. The calculator performs a simple SQL (Structured Query Language) query and can easily be implemented on any system supporting SQL. We provide an example of influenza test results from California, USA, as well as two examples of SARS-CoV-2 test results from official government reports from The Netherlands and Germany-Bavaria, to illustrate the possible parameter space of prevalence, sensitivity, and specificity consistent with the observed data. Finally, we discuss this tool's multiple applications, including its putative importance for informing policy decisions.
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Affiliation(s)
- Wouter Aukema
- Independent Data and Pattern Scientist, Hoenderloo, 7351BD, The Netherlands
| | - Bobby Rajesh Malhotra
- Department for Digital Arts, University for Applied Arts Vienna, Vienna, 1030, Austria
| | - Simon Goddek
- Independent Scientist, Ede, 6711 VS, The Netherlands
| | - Ulrike Kämmerer
- Department of Obstetrics and Gynaecology, University Hospital of Würzburg, Würzburg, 97080, Germany
| | - Peter Borger
- The Independent Research Initiative on Information & Origins, Loerrach, 79540, Germany
| | | | - Rainer Johannes Klement
- Department of Radiation Oncology, Leopoldina Hospital Schweinfurt, Schweinfurt, 97422, Germany
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Aukema W, Malhotra BR, Goddek S, Kämmerer U, Borger P, McKernan K, Klement RJ. Bayes Lines Tool (BLT): a SQL-script for analyzing diagnostic test results with an application to SARS-CoV-2-testing. F1000Res 2021; 10:369. [PMID: 35284065 PMCID: PMC8891718 DOI: 10.12688/f1000research.51061.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/07/2021] [Indexed: 08/25/2024] Open
Abstract
The performance of diagnostic tests crucially depends on the disease prevalence, test sensitivity, and test specificity. However, these quantities are often not well known when tests are performed outside defined routine lab procedures which make the rating of the test results somewhat problematic. A current example is the mass testing taking place within the context of the world-wide SARS-CoV-2 crisis. Here, for the first time in history, laboratory test results have a dramatic impact on political decisions. Therefore, transparent, comprehensible, and reliable data is mandatory. It is in the nature of wet lab tests that their quality and outcome are influenced by multiple factors reducing their performance by handling procedures, underlying test protocols, and analytical reagents. These limitations in sensitivity and specificity have to be taken into account when calculating the real test results. As a resolution method, we have developed a Bayesian calculator, the Bayes Lines Tool (BLT), for analyzing disease prevalence, test sensitivity, test specificity, and, therefore, true positive, false positive, true negative, and false negative numbers from official test outcome reports. The calculator performs a simple SQL (Structured Query Language) query and can easily be implemented on any system supporting SQL. We provide an example of influenza test results from California, USA, as well as two examples of SARS-CoV-2 test results from official government reports from The Netherlands and Germany-Bavaria, to illustrate the possible parameter space of prevalence, sensitivity, and specificity consistent with the observed data. Finally, we discuss this tool's multiple applications, including its putative importance for informing policy decisions.
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Affiliation(s)
- Wouter Aukema
- Independent Data and Pattern Scientist, Hoenderloo, 7351BD, The Netherlands
| | - Bobby Rajesh Malhotra
- Department for Digital Arts, University for Applied Arts Vienna, Vienna, 1030, Austria
| | - Simon Goddek
- Independent Scientist, Ede, 6711 VS, The Netherlands
| | - Ulrike Kämmerer
- Department of Obstetrics and Gynaecology, University Hospital of Würzburg, Würzburg, 97080, Germany
| | - Peter Borger
- The Independent Research Initiative on Information & Origins, Loerrach, 79540, Germany
| | | | - Rainer Johannes Klement
- Department of Radiation Oncology, Leopoldina Hospital Schweinfurt, Schweinfurt, 97422, Germany
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Aukema W, Malhotra BR, Goddek S, Kämmerer U, Borger P, McKernan K, Klement RJ. Bayes Lines Tool (BLT): a SQL-script for analyzing diagnostic test results with an application to SARS-CoV-2-testing. F1000Res 2021; 10:369. [PMID: 35284065 PMCID: PMC8891718 DOI: 10.12688/f1000research.51061.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/26/2021] [Indexed: 08/25/2024] Open
Abstract
The performance of diagnostic tests crucially depends on the disease prevalence, test sensitivity, and test specificity. However, these quantities are often not well known when tests are performed outside defined routine lab procedures which make the rating of the test results somewhat problematic. A current example is the mass testing taking place within the context of the world-wide SARS-CoV-2 crisis. Here, for the first time in history, laboratory test results have a dramatic impact on political decisions. Therefore, transparent, comprehensible, and reliable data is mandatory. It is in the nature of wet lab tests that their quality and outcome are influenced by multiple factors reducing their performance by handling procedures, underlying test protocols, and analytical reagents. These limitations in sensitivity and specificity have to be taken into account when calculating the real test results. As a resolution method, we have developed a Bayesian calculator, the Bayes Lines Tool (BLT), for analyzing disease prevalence, test sensitivity, test specificity, and, therefore, true positive, false positive, true negative, and false negative numbers from official test outcome reports. The calculator performs a simple SQL (Structured Query Language) query and can easily be implemented on any system supporting SQL. We provide an example of influenza test results from California, USA, as well as two examples of SARS-CoV-2 test results from official government reports from The Netherlands and Germany-Bavaria, to illustrate the possible parameter space of prevalence, sensitivity, and specificity consistent with the observed data. Finally, we discuss this tool's multiple applications, including its putative importance for informing policy decisions.
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Affiliation(s)
- Wouter Aukema
- Independent Data and Pattern Scientist, Hoenderloo, 7351BD, The Netherlands
| | - Bobby Rajesh Malhotra
- Department for Digital Arts, University for Applied Arts Vienna, Vienna, 1030, Austria
| | - Simon Goddek
- Independent Scientist, Ede, 6711 VS, The Netherlands
| | - Ulrike Kämmerer
- Department of Obstetrics and Gynaecology, University Hospital of Würzburg, Würzburg, 97080, Germany
| | - Peter Borger
- The Independent Research Initiative on Information & Origins, Loerrach, 79540, Germany
| | | | - Rainer Johannes Klement
- Department of Radiation Oncology, Leopoldina Hospital Schweinfurt, Schweinfurt, 97422, Germany
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RT-PCR Screening Tests for SARS-CoV-2 with Saliva Samples in Asymptomatic People: Strategy to Maintain Social and Economic Activities while Reducing the Risk of Spreading the Virus. Keio J Med 2021; 70:35-43. [PMID: 33746151 DOI: 10.2302/kjm.2021-0003-oa] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The year 2020 will be remembered for the coronavirus disease 2019 (COVID-19) pandemic, which continues to affect the whole world. Early and accurate identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is fundamental to combat the disease. Among the current diagnostic tests, real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) is the most reliable and frequently used method. Herein, we discuss the interpretation of RT-qPCR results relative to viral infectivity. Although nasopharyngeal swab samples are often used for RT-qPCR testing, they require collection by trained medical staff. Saliva samples are emerging as an inexpensive and efficient alternative for large-scale screening. Pooled-sample testing of saliva has been applied for mass screening of SARS-CoV-2 infection. Current policies recommend isolating people with borderline cycle threshold (Ct) values (35<Ct <40), despite these Ct values indicating minimal infection risk. We propose the new concept of a "social cut-off" Ct value and risk stratification based on the correlation of Ct with infectivity. We also describe the experience of RT-qPCR screening of saliva samples at our institution. It is important to implement a scientific approach to minimize viral transmission while allowing economic and social activities to continue.
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Elaswad A, Fawzy M. Mutations in Animal SARS-CoV-2 Induce Mismatches with the Diagnostic PCR Assays. Pathogens 2021; 10:371. [PMID: 33808783 PMCID: PMC8003424 DOI: 10.3390/pathogens10030371] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/15/2021] [Accepted: 03/16/2021] [Indexed: 02/06/2023] Open
Abstract
Recently, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was detected in several animal species. After transmission to animals, the virus accumulates mutations in its genome as adaptation to the new animal host progresses. Therefore, we investigated whether these mutations result in mismatches with the diagnostic PCR assays and suggested proper modifications to the oligo sequences accordingly. A comprehensive bioinformatic analysis was conducted using 28 diagnostic PCR assays and 793 publicly available SARS-CoV-2 genomes isolated from animals. Sixteen out of the investigated 28 PCR assays displayed at least one mismatch with their targets at the 0.5% threshold. Mismatches were detected in seven, two, two, and six assays targeting the ORF1ab, spike, envelope, and nucleocapsid genes, respectively. Several of these mismatches, such as the deletions and mismatches at the 3' end of the primer or probe, are expected to negatively affect the diagnostic PCR assays resulting in false-negative results. The modifications to the oligo sequences should result in stronger template binding by the oligos, better sensitivity of the assays, and higher confidence in the result. It is necessary to monitor the targets of diagnostic PCR assays for any future mutations that may occur as the virus continues to evolve in animals.
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Affiliation(s)
- Ahmed Elaswad
- Department of Animal Wealth Development, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Mohamed Fawzy
- Department of Virology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt
- Middle East for Vaccines (ME VAC®), Sharquia 44813, Egypt
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Brault V, Mallein B, Rupprecht JF. Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance. PLoS Comput Biol 2021; 17:e1008726. [PMID: 33661887 PMCID: PMC7932094 DOI: 10.1371/journal.pcbi.1008726] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 01/20/2021] [Indexed: 12/31/2022] Open
Abstract
We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual inspired by large-scale clinical datasets. We present an application of group testing for the prevention of epidemic outbreak in closed connected communities. We then propose a method for the measure of the prevalence in a population taking into account the increased number of false negatives associated with the group testing method.
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Affiliation(s)
- Vincent Brault
- Université Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France
| | - Bastien Mallein
- Université Sorbonne Paris Nord, LAGA, UMR 7539, Villetaneuse, France
| | - Jean-François Rupprecht
- Aix Marseille Univ, CNRS, Centre de Physique Théorique, Turing Center for Living Systems, Marseille, France
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Bustin S, Mueller R, Shipley G, Nolan T. COVID-19 and Diagnostic Testing for SARS-CoV-2 by RT-qPCR-Facts and Fallacies. Int J Mol Sci 2021; 22:2459. [PMID: 33671091 PMCID: PMC7957603 DOI: 10.3390/ijms22052459] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/24/2021] [Accepted: 02/24/2021] [Indexed: 12/19/2022] Open
Abstract
Although molecular testing, and RT-qPCR in particular, has been an indispensable component in the scientific armoury targeting SARS-CoV-2, there are numerous falsehoods, misconceptions, assumptions and exaggerated expectations with regards to capability, performance and usefulness of the technology. It is essential that the true strengths and limitations, although publicised for at least twenty years, are restated in the context of the current COVID-19 epidemic. The main objective of this commentary is to address and help stop the unfounded and debilitating speculation surrounding its use.
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Affiliation(s)
- Stephen Bustin
- Medical Technology Research Centre, Anglia Ruskin University, Chelmsford CM1 1SQ, UK;
| | | | | | - Tania Nolan
- Medical Technology Research Centre, Anglia Ruskin University, Chelmsford CM1 1SQ, UK;
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Miranda P, Weber G. Thermodynamic evaluation of the impact of DNA mismatches in PCR-type SARS-CoV-2 primers and probes. Mol Cell Probes 2021; 56:101707. [PMID: 33609730 PMCID: PMC7888997 DOI: 10.1016/j.mcp.2021.101707] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 02/04/2021] [Accepted: 02/09/2021] [Indexed: 11/28/2022]
Abstract
Background DNA mismatches can affect the efficiency of PCR techniques if the intended target has mismatches in primer or probe regions. The accepted rule is that mismatches are detrimental as they reduce the hybridization temperatures, yet a more quantitative assessment is rarely performed. Methods We calculate the hybridization temperatures of primer/probe sets after aligning to SARS-CoV-2, SARS-CoV-1 and non-SARS genomes, considering all possible combinations of single, double and triple consecutive mismatches. We consider the mismatched hybridization temperature within a range of 5 ∘C to the fully matched reference temperature. Results We obtained the alignments of 19 PCR primers sets that were recently reported for the detection of SARS-CoV-2 and to 21665 SARS-CoV-2 genomes as well as 323 genomes of other viruses of the coronavirus family of which 10 are SARS-CoV-1. We find that many incompletely aligned primers become fully aligned to most of the SARS-CoV-2 when mismatches are considered. However, we also found that many cross-align to SARS-CoV-1 and non-SARS genomes. Conclusions Some primer/probe sets only align substantially to most SARS-CoV-2 genomes if mismatches are taken into account. Unfortunately, by the same mechanism, almost 75% of these sets also align to some SARS-CoV-1 and non-SARS viruses. It is therefore recommended to consider mismatch hybridization for the design of primers whenever possible, especially to avoid undesired cross-reactivity.
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Affiliation(s)
- Pâmella Miranda
- Departamento de Física, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil; Programa Interunidades de Pós-Graduação em Bioinformática, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Gerald Weber
- Departamento de Física, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil.
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Pullano G, Di Domenico L, Sabbatini CE, Valdano E, Turbelin C, Debin M, Guerrisi C, Kengne-Kuetche C, Souty C, Hanslik T, Blanchon T, Boëlle PY, Figoni J, Vaux S, Campèse C, Bernard-Stoecklin S, Colizza V. Underdetection of cases of COVID-19 in France threatens epidemic control. Nature 2020; 590:134-139. [PMID: 33348340 DOI: 10.1038/s41586-020-03095-6] [Citation(s) in RCA: 139] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 12/08/2020] [Indexed: 01/17/2023]
Abstract
As countries in Europe gradually relaxed lockdown restrictions after the first wave, test-trace-isolate strategies became critical to maintain the incidence of coronavirus disease 2019 (COVID-19) at low levels1,2. Reviewing their shortcomings can provide elements to consider in light of the second wave that is currently underway in Europe. Here we estimate the rate of detection of symptomatic cases of COVID-19 in France after lockdown through the use of virological3 and participatory syndromic4 surveillance data coupled with mathematical transmission models calibrated to regional hospitalizations2. Our findings indicate that around 90,000 symptomatic infections, corresponding to 9 out 10 cases, were not ascertained by the surveillance system in the first 7 weeks after lockdown from 11 May to 28 June 2020, although the test positivity rate did not exceed the 5% recommendation of the World Health Organization (WHO)5. The median detection rate increased from 7% (95% confidence interval, 6-8%) to 38% (35-44%) over time, with large regional variations, owing to a strengthening of the system as well as a decrease in epidemic activity. According to participatory surveillance data, only 31% of individuals with COVID-19-like symptoms consulted a doctor in the study period. This suggests that large numbers of symptomatic cases of COVID-19 did not seek medical advice despite recommendations, as confirmed by serological studies6,7. Encouraging awareness and same-day healthcare-seeking behaviour of suspected cases of COVID-19 is critical to improve detection. However, the capacity of the system remained insufficient even at the low epidemic activity achieved after lockdown, and was predicted to deteriorate rapidly with increasing incidence of COVID-19 cases. Substantially more aggressive, targeted and efficient testing with easier access is required to act as a tool to control the COVID-19 pandemic. The testing strategy will be critical to enable partial lifting of the current restrictive measures in Europe and to avoid a third wave.
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Affiliation(s)
- Giulia Pullano
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France.,Orange Labs, Sociology and Economics of Network and Services (SENSE), Chatillon, France
| | - Laura Di Domenico
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Chiara E Sabbatini
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Eugenio Valdano
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Clément Turbelin
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Marion Debin
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Caroline Guerrisi
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Charly Kengne-Kuetche
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Cécile Souty
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Thomas Hanslik
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France.,UFR des Sciences de la Santé Simone-Veil, Université Versailles-Saint-Quentin-en-Yvelines, Versailles, France.,AP-HP, Service de Médecine Interne, Hôpital Ambroise Paré, Boulogne Billancourt, France
| | - Thierry Blanchon
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Pierre-Yves Boëlle
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France
| | - Julie Figoni
- Santé publique France, Direction des maladies infectieuses, Saint-Maurice, France
| | - Sophie Vaux
- Santé publique France, Direction des maladies infectieuses, Saint-Maurice, France
| | - Christine Campèse
- Santé publique France, Direction des maladies infectieuses, Saint-Maurice, France
| | | | - Vittoria Colizza
- INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France. .,Tokyo Tech World Research Hub Initiative, Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan.
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Huggett JF, Benes V, Bustin SA, Garson JA, Harris K, Kammel M, Kubista M, McHugh TD, Moran-Gilad J, Nolan T, Pfaffl MW, Salit M, Shipley G, Vallone PM, Vandesompele J, Wittwer C, Zeichhardt H. Cautionary Note on Contamination of Reagents Used for Molecular Detection of SARS-CoV-2. Clin Chem 2020; 66:1369-1372. [PMID: 32894756 PMCID: PMC7499524 DOI: 10.1093/clinchem/hvaa214] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 08/24/2020] [Indexed: 11/13/2022]
Affiliation(s)
- Jim F Huggett
- National Measurement Laboratory (NML) at LGC, Queens Rd, Teddington, UK.,School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK
| | - Vladimir Benes
- Genomics Core Facility, EMBL Heidelberg, Heidelberg, Germany
| | - Stephen A Bustin
- Medical Technology Research Centre, Faculty of Health, Social Care & Education, Anglia Ruskin University, Essex, UK
| | - Jeremy A Garson
- Division of Infection and Immunity, University College London, London, UK
| | - Karthyn Harris
- Microbiology Department, Great Ormond Street Hospital NHS Foundation Trust, London, UK
| | - Martin Kammel
- INSTAND e. V., Duesseldorf; IQVD GmbH, Institut fuer Qualitaetssicherung in der Virusdiagnostik, Berlin, Germany
| | - Mikael Kubista
- TATAA Biocenter, Sweden and Institute of Biotechnology of the Czech Academy of Sciences, Czech Republic
| | - Timothy D McHugh
- Division of Infection and Immunity, Center for Clinical Microbiology, University College London, UK
| | - Jacob Moran-Gilad
- Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
| | - Tania Nolan
- Institute of Population Health, Faculty of Medical and Human Sciences, University of Manchester, The Gene Team, Manchester, UK
| | - Michael W Pfaffl
- Animal Physiology and Immunology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Marc Salit
- Joint Initiative for Metrology in Biology, SLAC National Accelerator Laboratory, Menlo Park, CA.,Department of Bioengineering and Pathology, Stanford University, Stanford, CA
| | | | - Peter M Vallone
- National Institute of Standards and Technology, Gaithersburg, MD
| | - Jo Vandesompele
- Department of Biomolecular Medicine, Ghent University.,Biogazelle, Belgium; Ghent University, Belgium
| | - Carl Wittwer
- Department of Pathology, University of Utah, Salt Lake City, UT
| | - Heinz Zeichhardt
- INSTAND e. V., Duesseldorf; Charité - University Medicine Berlin; IQVD GmbH, Institut fuer Qualitaetssicherung in der Virusdiagnostik, Berlin, Germany
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Prevalence of SARS-CoV-2 infection in patients presenting for intravitreal injection. SPEKTRUM DER AUGENHEILKUNDE 2020; 35:70-74. [PMID: 33343086 PMCID: PMC7731141 DOI: 10.1007/s00717-020-00473-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 11/18/2020] [Indexed: 02/04/2023]
Abstract
Aim Due to the coronavirus disease 2019 (COVID-19) pandemic, nosocomial transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is of great concern to clinicians of all specialties. Currently there are no published data available on the prevalence of the infection in ophthalmology patients presenting for intravitreal injection (IVI). The purpose of this retrospective study was to estimate the prevalence of SARS-CoV‑2 infection in patients presenting for IVI at our hospital. Methods Patients presenting for IVI in April 2020 at our hospital who had been screened for SARS-CoV‑2 infection using nasopharyngeal and oropharyngeal specimen for real-time reverse transcription polymerase chain reaction analysis were included in a retrospective study. To assess the representativity of this sample for IVI patients, characteristics were compared with patients presenting for IVI during March–April 2019. Results The study included 279 patients and 319 historic control patients. Of 277 valid test results, one SARS-CoV‑2 positive patient was found, resulting in a carrier rate of 0.36% with a 95% Clopper–Pearson confidence interval of 0.01–1.99%. No differences in sex (57.7% vs. 59.9% female, p = 0.650), age (77.63 ± 10.29 vs. 77.59 ± 10.94 years, p = 0.962), and region of residence were found between groups. Conclusion The study provides an estimate for the prevalence of SARS-CoV‑2 infection in asymptomatic patients presenting for IVI. While these data may be used as a baseline, further research is needed to assess the development of SARS-CoV‑2 prevalence in this patient group in order to support risk assessment and infection prevention strategies.
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Secchi M, Bazzigaluppi E, Brigatti C, Marzinotto I, Tresoldi C, Rovere-Querini P, Poli A, Castagna A, Scarlatti G, Zangrillo A, Ciceri F, Piemonti L, Lampasona V. COVID-19 survival associates with the immunoglobulin response to the SARS-CoV-2 spike receptor binding domain. J Clin Invest 2020; 130:6366-6378. [PMID: 32991329 PMCID: PMC7685720 DOI: 10.1172/jci142804] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 09/02/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUNDSerological assays are of critical importance to investigate correlates of response and protection in coronavirus disease 2019 (COVID-19), to define previous exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in populations, and to verify the development of an adaptive immune response in infected individuals.METHODSWe studied 509 patients confirmed to have COVID-19 from the San Raffaele Hospital of Milan and 480 samples of prepandemic organ donor sera collected in 2010-2012. Using fluid-phase luciferase immune precipitation (LIPS) assays, we characterized IgG, IgM, and IgA antibodies to the spike receptor binding domain (RBD), S1+S2, nucleocapsid, and ORF6 to ORF10 of SARS-CoV-2, to the HCoV-OC43 and HCoV-HKU1 betacoronaviruses spike S2, and the H1N1Ca2009 flu virus hemagglutinin. Sequential samples at 1 and 3 months after hospital discharge were also tested for SARS-CoV-2 RBD antibodies in 95 patients.RESULTSAntibodies developed rapidly against multiple SARS-CoV-2 antigens in 95% of patients by 4 weeks after symptom onset and IgG to the RBD increased until the third month of follow-up. We observed a major synchronous expansion of antibodies to the HCoV-OC43 and HCoV-HKU1 spike S2. A likely coinfection with influenza was neither linked to a more severe presentation of the disease nor to a worse outcome. Of the measured antibody responses, positivity for IgG against the SARS-CoV-2 spike RBD was predictive of survival.CONCLUSIONThe measurement of antibodies to selected epitopes of SARS-CoV-2 antigens can offer a more accurate assessment of the humoral response in patients and its impact on survival. The presence of partially cross-reactive antibodies with other betacoronaviruses is likely to impact on serological assay specificity and interpretation.TRIAL REGISTRATIONCOVID-19 Patients Characterization, Biobank, Treatment Response and Outcome Predictor (COVID-BioB). ClinicalTrials.gov identifier: NCT04318366.FUNDINGIRCCS Ospedale San Raffaele and Università Vita Salute San Raffaele.
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Affiliation(s)
- Massimiliano Secchi
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Elena Bazzigaluppi
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Cristina Brigatti
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Ilaria Marzinotto
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Cristina Tresoldi
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Patrizia Rovere-Querini
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Andrea Poli
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Antonella Castagna
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Gabriella Scarlatti
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Alberto Zangrillo
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Fabio Ciceri
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Lorenzo Piemonti
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Vito Lampasona
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
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Algwaiz G, Aljurf M, Koh M, Horowitz MM, Ljungman P, Weisdorf D, Saber W, Kodera Y, Szer J, Jawdat D, Wood WA, Brazauskas R, Lehmann L, Pasquini MC, Seber A, Lu PH, Atsuta Y, Riches M, Perales MA, Worel N, Okamoto S, Srivastava A, Chemaly RF, Cordonnier C, Dandoy CE, Wingard JR, Kharfan-Dabaja MA, Hamadani M, Majhail NS, Waghmare AA, Chao N, Kröger N, Shaw B, Mohty M, Niederwieser D, Greinix H, Hashmi SK. Real-World Issues and Potential Solutions in Hematopoietic Cell Transplantation during the COVID-19 Pandemic: Perspectives from the Worldwide Network for Blood and Marrow Transplantation and Center for International Blood and Marrow Transplant Research Health Services and International Studies Committee. Biol Blood Marrow Transplant 2020; 26:2181-2189. [PMID: 32717432 PMCID: PMC7380217 DOI: 10.1016/j.bbmt.2020.07.021] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/19/2020] [Accepted: 07/19/2020] [Indexed: 12/15/2022]
Abstract
The current COVID-19 pandemic, caused by SARS-CoV-2, has impacted many facets of hematopoietic cell transplantation (HCT) in both developed and developing countries. Realizing the challenges as a result of this pandemic affecting the daily practice of the HCT centers and the recognition of the variability in practice worldwide, the Worldwide Network for Blood and Marrow Transplantation (WBMT) and the Center for International Blood and Marrow Transplant Research's (CIBMTR) Health Services and International Studies Committee have jointly produced an expert opinion statement as a general guide to deal with certain aspects of HCT, including diagnostics for SARS-CoV-2 in HCT recipient, pre- and post-HCT management, donor issues, medical tourism, and facilities management. During these crucial times, which may last for months or years, the HCT community must reorganize to proceed with transplantation activity in those patients who urgently require it, albeit with extreme caution. This shared knowledge may be of value to the HCT community in the absence of high-quality evidence-based medicine. © 2020 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.
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Affiliation(s)
- Ghada Algwaiz
- Department of Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Kingdom of Saudi Arabia
| | - Mahmoud Aljurf
- Department of Adult Hematology and Stem Cell Transplant, King Faisal Specialist Hospital and Research Center, Riyadh, Kingdom of Saudi Arabia.
| | - Mickey Koh
- Department of Haematology. St George's Hospital and Medical School, London, United Kingdom; Cell Therapy Facility, Blood Services Group, Health Sciences Authority, Singapore
| | - Mary M Horowitz
- Division of Hematology/Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Per Ljungman
- Department of Cellular Therapy and Allogeneic Stem Cell Transplantation, Karolinska University Hospital Huddinge, Stockholm, Sweden; Division of Hematology, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Weisdorf
- Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Wael Saber
- Division of Hematology/Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Yoshihisa Kodera
- Center for Hematopoietic Stem Cell Transplantation, Aichi Medical University Hospital, Nagakute, Japan
| | - Jeff Szer
- Clinical Haematology at Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Dunia Jawdat
- Cord Blood Bank, King Abdullah International Medical Research Center, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia
| | - William A Wood
- Division of Hematology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Ruta Brazauskas
- Division of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Leslie Lehmann
- Department of Pediatric Hematology-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marcelo C Pasquini
- Division of Hematology/Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Adriana Seber
- Department of Medicine, Universidade Federal de Sao Paulo Escola Paulista de Medicina: Sao Paulo, Brazil
| | - Pei Hua Lu
- Hematology and Oncology Department, Hebei Yanda Ludaopei Hospital, Langfang, China
| | - Yoshiko Atsuta
- Center for Hematopoietic Stem Cell Transplantation, Aichi Medical University Hospital, Nagakute, Japan
| | - Marcie Riches
- Division of Hematology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Miguel-Angel Perales
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Weill Cornell Medical College, New York, New York
| | - Nina Worel
- Department of Blood Group Serology and Transfusion Medicine, Medical University of Vienna, Vienna, Austria
| | - Shinichiro Okamoto
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Alok Srivastava
- Department of Haematology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Roy F Chemaly
- Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Catherine Cordonnier
- Hematology Department, Henri Mondor Hospital and University Paris-Est Créteil, Créteil, France
| | - Christopher E Dandoy
- Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - John R Wingard
- Division of Hematology and Oncology, Department of Medicine, University of Florida, Gainesville, Florida
| | | | - Mehdi Hamadani
- Division of Hematology/Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Navneet S Majhail
- Blood and Marrow Transplant Program, Cleveland Clinic, Cleveland, Ohio
| | - Alpana A Waghmare
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Washington and Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Nelson Chao
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Nicolaus Kröger
- Department of Stem Cell Transplantation, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Bronwen Shaw
- Division of Hematology/Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mohamad Mohty
- Service d'Hématologie Clinique et Thérapie Cellulaire, Hôpital Saint-Antoine, Sorbonne Université, INSERM UMRS 938, Paris, France
| | - Dietger Niederwieser
- Division of Hematology and Medical Oncology, University of Leipzig, Leipzig, Germany
| | | | - Shahrukh K Hashmi
- Department of Adult Hematology and Stem Cell Transplant, King Faisal Specialist Hospital and Research Center, Riyadh, Kingdom of Saudi Arabia; Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
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Bezier C, Anthoine G, Charki A. Reliability of RT-PCR tests to detect SARS-CoV-2: risk analysis. INTERNATIONAL JOURNAL OF METROLOGY AND QUALITY ENGINEERING 2020. [DOI: 10.1051/ijmqe/2020009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The rapid escalation of the number of COVID-19 (Coronavirus Disease 2019) cases has forced countries around the world to implement systems for the widest possible testing of their populations. The World Health Organization (WHO) has in fact urged all countries to carry out as many tests as they can. Clinical laboratories have had to respond urgently to numerous and rising demands for diagnostic tests for SARS-CoV-2. The majority of laboratories have had to implement the RT-PCR (Reverse Transcriptase − Polymerase Chain Reaction) test method without the benefit of adequate experimental feedback. It is hoped that this article will make a useful contribution in the form of a methodology for the risk analysis of SARS-CoV-2 testing by RT-PCR and at the same time result reliability analysis of diagnostic tests, via an approach based on a combination of Fishbone Diagram and FMECA (Failure Mode, Effects, and Criticality Analysis) methods. The risk analysis is based on lessons learned from the actual experience of a real laboratory, which enabled the authors to pinpoint the principal risks that impact the reliability of RT-PCR test results. The probability of obtaining erroneous results (false positives or negatives) is implicit in the criticality assessment obtained via FMECA. In other words, the higher the criticality, the higher the risk of obtaining an erroneous result. These risks must therefore be controlled as a priority. The principal risks are studied for the following process stages: nucleic acid extraction, preparation of the mix and validation of results. For the extraction of nucleic acids, highly critical risks (exceeding the threshold set from experimentation) are the risk of error when depositing samples on the extraction plate and sample non-conformity. For the preparation of the mix the highest risks are a non-homogenous mix and, predominantly, errors when depositing samples on the amplification plate. For the validation of results, criticality can reach the maximum severity rating: here, the risks that require particular attention concern the interpretation of raw test data, poor IQC (Internal Quality Control) management and the manual entry of results and/or file numbers. Recommendations are therefore made with regard to human factor influences, internal contamination within the laboratory, management of reagents, other consumables and critical equipment, and the effect of sample quality. This article demonstrates the necessity to monitor, both internally and externally, the performance of the test process within a clinical laboratory in terms of quality and reliability.
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Falasca F, Sciandra I, Di Carlo D, Gentile M, Deales A, Antonelli G, Turriziani O. Detection of SARS-COV N2 Gene: Very low amounts of viral RNA or false positive? J Clin Virol 2020; 133:104660. [PMID: 33126109 PMCID: PMC7553900 DOI: 10.1016/j.jcv.2020.104660] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 10/10/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND The detection of a low amount of viral RNA is crucial to identify a SARS-CoV-2 positive individual harboring a low level of virus, especially during the convalescent period. However, the detection of one gene at high Cycle threshold (Ct) has to be interpreted with caution. In this study we address this specific issue and report our real-life experience. STUDY DESIGN A total of 1639 nasopharyngeal swabs (NPS) were analyzed with Xpert® Xpress SARS-CoV-2. Positive samples showing high Ct values (Ct>35) were concentrated by centrifugation and re-tested with Cepheid or other methods (RealStar SARS-CoV2 RT-PCR, Altona Diagnostics; GeneFinder COVID-19 Plus RealAmp Kit, Elitech). RESULTS 1599 (97.5%) negative samples, 36 (2.3%) positive samples and 4 (0.2%) presumptive positive samples were detected. In 17 out of 36 positive patients, very low viral RNA copies were suspected since positivity was detected at high Ct. We confirmed positivity for patients who showed both E and N genes detected and for patients with only N detected but with Ct <39. On the contrary, samples with only gene N detected with Ct values >39 were found negative. NPS taken 24 hours after the first collection confirmed the negativity of the 12 samples. Clinical data sustained these results since only 2 of these 12 patients showed COVID-19-like symptoms. CONCLUSIONS These data support our consideration that detection of the N2 gene at high Ct needs to be interpreted with caution, suggesting that collaboration between virologists and clinicians is important for better understanding of results.
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Affiliation(s)
| | - Ilaria Sciandra
- Sapienza University Hospital "Policlinico Umberto I", Rome, Italy
| | - Daniele Di Carlo
- Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - Massimo Gentile
- Department of Molecular Medicine, Sapienza University, Rome, Italy; Sapienza University Hospital "Policlinico Umberto I", Rome, Italy
| | - Alberto Deales
- Sapienza University Hospital "Policlinico Umberto I", Rome, Italy
| | - Guido Antonelli
- Department of Molecular Medicine, Sapienza University, Rome, Italy; Sapienza University Hospital "Policlinico Umberto I", Rome, Italy
| | - Ombretta Turriziani
- Department of Molecular Medicine, Sapienza University, Rome, Italy; Sapienza University Hospital "Policlinico Umberto I", Rome, Italy.
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Esteve C, Catherine FX, Chavanet P, Blot M, Piroth L. How should a positive PCR test result for COVID-19 in an asymptomatic individual be interpreted and managed? Med Mal Infect 2020; 50:633-638. [PMID: 33022291 PMCID: PMC7532802 DOI: 10.1016/j.medmal.2020.09.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 08/20/2020] [Accepted: 09/25/2020] [Indexed: 01/11/2023]
Affiliation(s)
- C Esteve
- Département d'infectiologie, CHU de Dijon, 21000 Dijon, France
| | - F X Catherine
- Département d'infectiologie, CHU de Dijon, 21000 Dijon, France
| | - P Chavanet
- Département d'infectiologie, CHU de Dijon, 21000 Dijon, France
| | - M Blot
- Département d'infectiologie, CHU de Dijon, 21000 Dijon, France
| | - L Piroth
- Département d'infectiologie, CHU de Dijon, 21000 Dijon, France.
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