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Elomaa P, Ojalehto T, Kumar D, Jokinen V, Saavalainen P. Manually pressurized droplet digital PCR chip for rapid SARS-CoV-2 diagnostics. BIOMICROFLUIDICS 2024; 18:014106. [PMID: 38420041 PMCID: PMC10901548 DOI: 10.1063/5.0180394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 02/02/2024] [Indexed: 03/02/2024]
Abstract
Droplet digital PCR (ddPCR) is a technique in which PCR reaction is divided into thousands of nanoliter-sized droplets and has proven to be a great tool in virus diagnostics. Compared to the gold standard system quantitative real-time PCR (RT-qPCR), ddPCR functions particularly well when dealing with samples with low template counts, such as viral concentration. This feature makes the technique suitable for early detection of the virus. In this study, a novel portable PDMS ddPCR chip is introduced. The chip functions without external pumps using manual pressurization with a multichannel pipet. The created droplets are monodispersed and form a monolayer on the chip's collection chamber, from where they can be effortlessly imaged. Droplets were analyzed and counted using artificial intelligence. The use of the manually pressurized chip was demonstrated for a SARS-CoV-2 assay, which takes advantage of isothermal strand invasion-based amplification (SIBA) technology, allowing quick and accurate, even point-of-care analysis of the sample. The results demonstrate that SIBA assays can be divided into nanoliter-sized droplets and used as quantitative assays, giving an approximation of the samples' viral count.
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Affiliation(s)
| | | | | | - Ville Jokinen
- Department of Chemistry and Materials Science, Aalto University School of Chemical Engineering, Tietotie 3, Espoo 02150, Finland
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2
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Yang Q, Meyerson NR, Paige CL, Morrison JH, Clark SK, Fattor WT, Decker CJ, Steiner HR, Lian E, Larremore DB, Perera R, Poeschla EM, Parker R, Dowell RD, Sawyer SL. Human mRNA in saliva can correctly identify individuals harboring acute infection. mBio 2023; 14:e0171223. [PMID: 37943059 PMCID: PMC10746177 DOI: 10.1128/mbio.01712-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 10/03/2023] [Indexed: 11/10/2023] Open
Abstract
IMPORTANCE There are a variety of clinical and laboratory criteria available to clinicians in controlled healthcare settings to help them identify whether an infectious disease is present. However, in situations such as a new epidemic caused by an unknown infectious agent, in health screening contexts performed within communities and outside of healthcare facilities or in battlefield or potential biowarfare situations, this gets more difficult. Pathogen-agnostic methods for rapid screening and triage of large numbers of people for infection status are needed, in particular methods that might work on an easily accessible biospecimen like saliva. Here, we identify a small, core set of approximately 70 human genes whose transcripts serve as saliva-based biomarkers of infection in the human body, in a way that is agnostic to the specific pathogen causing infection.
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Affiliation(s)
- Qing Yang
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Nicholas R Meyerson
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Darwin Biosciences, Inc., Boulder, Colorado, USA
| | - Camille L Paige
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Darwin Biosciences, Inc., Boulder, Colorado, USA
| | - James H Morrison
- Division of Infectious Diseases, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Stephen K Clark
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Darwin Biosciences, Inc., Boulder, Colorado, USA
| | - Will T Fattor
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Carolyn J Decker
- Department of Biochemistry, University of Colorado Boulder, Boulder, Colorado, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Halley R Steiner
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Biochemistry, University of Colorado Boulder, Boulder, Colorado, USA
| | - Elena Lian
- Center for Vector-Borne Infectious Diseases and Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Daniel B Larremore
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Computer Science, University of Colorado Boulder, Boulder, Colorado, USA
- Santa Fe Institute, Santa Fe, New Mexico, USA
| | - Rushika Perera
- Center for Vector-Borne Infectious Diseases and Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Eric M Poeschla
- Division of Infectious Diseases, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Roy Parker
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Biochemistry, University of Colorado Boulder, Boulder, Colorado, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Robin D Dowell
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Computer Science, University of Colorado Boulder, Boulder, Colorado, USA
| | - Sara L Sawyer
- BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, Colorado, USA
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3
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Development of an optimized colorimetric RT-LAMP for SARS-CoV-2 assay with enhanced procedure controls for remote diagnostics. Sci Rep 2022; 12:21424. [PMID: 36503901 PMCID: PMC9741705 DOI: 10.1038/s41598-022-25872-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
The coronavirus pandemic accentuated the need for molecular diagnostic tests. A technique highly used to this end is the Polymerase Chain Reaction (PCR)-a sensitive and specific technique commonly used as the gold standard for molecular diagnostics. However, it demands highly trained personnel and high-maintenance equipment and is relatively time-consuming. An alternative is the Loop-Mediated Isothermal Amplification (LAMP) technique, which doesn't need sample purification or expensive equipment, and is similar to PCR when compared in sensitivity and specificity. In this paper, we developed an optimized colorimetric Reverse Transcriptase Loop-Mediated Isothermal Amplification (RT-LAMP) Point-of-Care test using a portable device to diagnose COVID-19. Variables such as concentration of primers, magnesium sulfate, betaine, hydrochloride guanidine, Bst, and temperature of the reactions were tested. We also created a pipetting quality control system-using a combination of dyes-to avoid false negatives due to a lack of samples added to the reaction test tube. Mineral oil was incorporated in the composition of the RT-LAMP reactions to avoid evaporation when a heating lid isn't available. The final RT-LAMP test is tenfold more sensitive when compared to the WarmStart Colorimetric Master mix from New England Biolabs with a sensitivity of 5 copies per μL.
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4
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Warneford-Thomson R, Shah PP, Lundgren P, Lerner J, Morgan J, Davila A, Abella BS, Zaret K, Schug J, Jain R, Thaiss CA, Bonasio R. A LAMP sequencing approach for high-throughput co-detection of SARS-CoV-2 and influenza virus in human saliva. eLife 2022; 11:69949. [PMID: 35532013 PMCID: PMC9084890 DOI: 10.7554/elife.69949] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 04/24/2022] [Indexed: 12/02/2022] Open
Abstract
The COVID-19 pandemic has created an urgent need for rapid, effective, and low-cost SARS-CoV-2 diagnostic testing. Here, we describe COV-ID, an approach that combines RT-LAMP with deep sequencing to detect SARS-CoV-2 in unprocessed human saliva with a low limit of detection (5–10 virions). Based on a multi-dimensional barcoding strategy, COV-ID can be used to test thousands of samples overnight in a single sequencing run with limited labor and laboratory equipment. The sequencing-based readout allows COV-ID to detect multiple amplicons simultaneously, including key controls such as host transcripts and artificial spike-ins, as well as multiple pathogens. Here, we demonstrate this flexibility by simultaneous detection of 4 amplicons in contrived saliva samples: SARS-CoV-2, influenza A, human STATHERIN, and an artificial SARS calibration standard. The approach was validated on clinical saliva samples, where it showed excellent agreement with RT-qPCR. COV-ID can also be performed directly on saliva absorbed on filter paper, simplifying collection logistics and sample handling.
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Affiliation(s)
- Robert Warneford-Thomson
- Graduate Group in Biochemistry and Biophysics, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Parisha P Shah
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Patrick Lundgren
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Jonathan Lerner
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Jason Morgan
- Department of Emergency Medicine and Penn Acute Research Collaboration, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Antonio Davila
- Department of Emergency Medicine and Penn Acute Research Collaboration, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,University of Pennsylvania School of Nursing, Philadelphia, United States
| | - Benjamin S Abella
- Department of Emergency Medicine and Penn Acute Research Collaboration, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Kenneth Zaret
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Jonathan Schug
- Next-Generation Sequencing Core, Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Rajan Jain
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Christoph A Thaiss
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
| | - Roberto Bonasio
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.,Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States
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5
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Ke R, Martinez PP, Smith RL, Gibson LL, Mirza A, Conte M, Gallagher N, Luo CH, Jarrett J, Zhou R, Conte A, Liu T, Farjo M, Walden KKO, Rendon G, Fields CJ, Wang L, Fredrickson R, Edmonson DC, Baughman ME, Chiu KK, Choi H, Scardina KR, Bradley S, Gloss SL, Reinhart C, Yedetore J, Quicksall J, Owens AN, Broach J, Barton B, Lazar P, Heetderks WJ, Robinson ML, Mostafa HH, Manabe YC, Pekosz A, McManus DD, Brooke CB. Daily longitudinal sampling of SARS-CoV-2 infection reveals substantial heterogeneity in infectiousness. Nat Microbiol 2022; 7:640-652. [PMID: 35484231 PMCID: PMC9084242 DOI: 10.1038/s41564-022-01105-z] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 03/15/2022] [Indexed: 02/07/2023]
Abstract
The dynamics of SARS-CoV-2 replication and shedding in humans remain poorly understood. We captured the dynamics of infectious virus and viral RNA shedding during acute infection through daily longitudinal sampling of 60 individuals for up to 14 days. By fitting mechanistic models, we directly estimated viral expansion and clearance rates and overall infectiousness for each individual. Significant person-to-person variation in infectious virus shedding suggests that individual-level heterogeneity in viral dynamics contributes to 'superspreading'. Viral genome loads often peaked days earlier in saliva than in nasal swabs, indicating strong tissue compartmentalization and suggesting that saliva may serve as a superior sampling site for early detection of infection. Viral loads and clearance kinetics of Alpha (B.1.1.7) and previously circulating non-variant-of-concern viruses were mostly indistinguishable, indicating that the enhanced transmissibility of this variant cannot be explained simply by higher viral loads or delayed clearance. These results provide a high-resolution portrait of SARS-CoV-2 infection dynamics and implicate individual-level heterogeneity in infectiousness in superspreading.
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Affiliation(s)
- Ruian Ke
- T-6, Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA
| | - Pamela P Martinez
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Rebecca L Smith
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Laura L Gibson
- Division of Infectious Diseases and Immunology, Departments of Medicine and Pediatrics, University of Massachusetts Medical School, Worcester, MA, USA
| | - Agha Mirza
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Madison Conte
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Nicholas Gallagher
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chun Huai Luo
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Junko Jarrett
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruifeng Zhou
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Abigail Conte
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tongyu Liu
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Mireille Farjo
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Kimberly K O Walden
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Gloria Rendon
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Christopher J Fields
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Leyi Wang
- Veterinary Diagnostic Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Richard Fredrickson
- Veterinary Diagnostic Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Darci C Edmonson
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Melinda E Baughman
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Karen K Chiu
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Hannah Choi
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Kevin R Scardina
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Shannon Bradley
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Stacy L Gloss
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Crystal Reinhart
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Jagadeesh Yedetore
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Jessica Quicksall
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Alyssa N Owens
- Center for Clinical and Translational Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - John Broach
- UMass Memorial Medical Center, Worcester, MA, USA
- Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Bruce Barton
- Division of Biostatistics and Health Services Research, University of Massachusetts Medical School, Worcester, MA, USA
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - Peter Lazar
- Division of Biostatistics and Health Services Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - William J Heetderks
- National Institute for Biomedical Imaging and Bioengineering, Bethesda, MD, USA
| | - Matthew L Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Heba H Mostafa
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yukari C Manabe
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David D McManus
- Division of Cardiology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Christopher B Brooke
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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6
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Affiliation(s)
- Anne L Wyllie
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut
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7
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Ishak A, AlRawashdeh MM, Esagian SM, Nikas IP. Diagnostic, Prognostic, and Therapeutic Value of Droplet Digital PCR (ddPCR) in COVID-19 Patients: A Systematic Review. J Clin Med 2021; 10:5712. [PMID: 34884414 PMCID: PMC8658157 DOI: 10.3390/jcm10235712] [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: 10/31/2021] [Revised: 11/30/2021] [Accepted: 12/03/2021] [Indexed: 02/07/2023] Open
Abstract
Accurate detection of SARS-CoV-2, the pathogen causing the global pandemic of COVID-19, is essential for disease surveillance and control. Quantitative reverse transcription PCR (RT-qPCR) is considered the reference standard test for the diagnosis of SARS-CoV-2 by the World Health Organization and Centers for Disease Control and Prevention. However, its limitations are a prompt for a more accurate assay to detect SARS-CoV-2, quantify its levels, and assess the prognosis. This article aimed to systematically review the literature and assess the diagnostic performance of droplet digital PCR (ddPCR), also to evaluate its potential role in prognosis and management of COVID-19 patients. PubMed and Scopus databases were searched to identify relevant articles published until 13 July 2021. An additional PubMed search was performed on 21 October 2021. Data from the 39 eligible studies were extracted and an overall 3651 samples from 2825 patients and 145 controls were used for our qualitative analysis. Most studies reported ddPCR was more accurate than RT-qPCR in detecting and quantifying SARS-CoV-2 levels, especially in patients with low viral loads. ddPCR was also found highly effective in quantifying SARS-CoV-2 RNAemia levels in hospitalized patients, monitoring their disease course, and predicting their response to therapy. These findings suggest ddPCR could serve as a complement or alternative SARS-CoV-2 tool with emerging diagnostic, prognostic, and therapeutic value, especially in hospital settings. Additional research is still needed to standardize its laboratory protocols, also to accurately assess its role in monitoring COVID-19 therapy response and in identifying SARS-CoV-2 emerging variants.
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Affiliation(s)
- Angela Ishak
- School of Medicine, European University Cyprus, Nicosia 2404, Cyprus; (A.I.); (M.M.A.)
| | - Mousa M. AlRawashdeh
- School of Medicine, European University Cyprus, Nicosia 2404, Cyprus; (A.I.); (M.M.A.)
| | - Stepan M. Esagian
- Jacobi Medical Center, Department of Medicine, Albert Einstein College of Medicine, The Bronx, New York, NY 10461, USA;
| | - Ilias P. Nikas
- School of Medicine, European University Cyprus, Nicosia 2404, Cyprus; (A.I.); (M.M.A.)
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8
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Lopes JIF, da Costa Silva CA, Cunha RG, Soares AM, Lopes MED, da Conceição Neto OC, Alves ADR, da Costa Nunes Pimentel Coelho WL, Amorim Filho L, Amado Leon LA. A Large Cohort Study of SARS-CoV-2 Detection in Saliva: A Non-Invasive Alternative Diagnostic Test for Patients with Bleeding Disorders. Viruses 2021; 13:v13122361. [PMID: 34960630 PMCID: PMC8707508 DOI: 10.3390/v13122361] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/16/2021] [Accepted: 11/18/2021] [Indexed: 01/02/2023] Open
Abstract
Diagnosis of SARS-CoV-2 infections is mostly based on the nasopharyngeal swabs (NPS). However, this collection is invasive and uncomfortable, especially for children and patients with coagulopathies, whose NPS collection often causes bleeding. Thus, the aim of this study was to evaluate the usefulness and accuracy of saliva for the diagnosis of COVID-19 in patients presenting bleeding disorders. Samples of NPS, oropharyngeal swabs (OPS), and saliva were collected simultaneously from 1159 hospitalized patients with hematological diseases and from 524 healthcare workers, both symptomatic and asymptomatic for SARS-CoV-2. All samples were evaluated for SARS-CoV-2 by qRT-PCR. SARS-CoV-2 was detected in NPS, OPS and saliva from 16.9%, 14.4% and 15.6% individuals, respectively. Tests in saliva showed sensitivity, specificity, and overall agreement of 73.3%, 96.9% and 92.7% (=0.74), respectively. Salivary tests had good accuracy (AUC = 0.7) for discriminating negative and positive qRT-PCR for SARS-CoV-2. Higher sensitivity was observed in symptomatic than in non-symptomatic patients, as well as in healthy subjects than in patients with hematological disease, in both OPS and saliva. The mean viral load in NPS was significantly higher than in OPS and in saliva samples (p < 0.001). Saliva is a good diagnostic tool to detect SARS-CoV-2, especially among patients symptomatic for COVID-19, and is a valuable specimen for mass screening of hospitalized patients with hematological diseases, especially for those that with bleeding disorders.
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Affiliation(s)
- Josiane Iole França Lopes
- Instituto de Hematologia Arthur de Siqueira Cavalcanti/Hemorio, Rua Frei Caneca, 8, Centro, Rio de Janeiro CEP 20211-030, Brazil; (J.I.F.L.); (C.A.d.C.S.); (R.G.C.); (A.M.S.); (M.E.D.L.); (O.C.d.C.N.); (L.A.F.)
- Laboratório de Desenvolvimento Tecnológico em Virologia, Oswaldo Cruz Institute/Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro CEP 21040-900, Brazil; (A.D.R.A.); (W.L.d.C.N.P.C.)
| | - Carlos Alexandre da Costa Silva
- Instituto de Hematologia Arthur de Siqueira Cavalcanti/Hemorio, Rua Frei Caneca, 8, Centro, Rio de Janeiro CEP 20211-030, Brazil; (J.I.F.L.); (C.A.d.C.S.); (R.G.C.); (A.M.S.); (M.E.D.L.); (O.C.d.C.N.); (L.A.F.)
| | - Rodrigo Guimarães Cunha
- Instituto de Hematologia Arthur de Siqueira Cavalcanti/Hemorio, Rua Frei Caneca, 8, Centro, Rio de Janeiro CEP 20211-030, Brazil; (J.I.F.L.); (C.A.d.C.S.); (R.G.C.); (A.M.S.); (M.E.D.L.); (O.C.d.C.N.); (L.A.F.)
| | - Alexandra Martins Soares
- Instituto de Hematologia Arthur de Siqueira Cavalcanti/Hemorio, Rua Frei Caneca, 8, Centro, Rio de Janeiro CEP 20211-030, Brazil; (J.I.F.L.); (C.A.d.C.S.); (R.G.C.); (A.M.S.); (M.E.D.L.); (O.C.d.C.N.); (L.A.F.)
| | - Maria Esther Duarte Lopes
- Instituto de Hematologia Arthur de Siqueira Cavalcanti/Hemorio, Rua Frei Caneca, 8, Centro, Rio de Janeiro CEP 20211-030, Brazil; (J.I.F.L.); (C.A.d.C.S.); (R.G.C.); (A.M.S.); (M.E.D.L.); (O.C.d.C.N.); (L.A.F.)
| | - Orlando Carlos da Conceição Neto
- Instituto de Hematologia Arthur de Siqueira Cavalcanti/Hemorio, Rua Frei Caneca, 8, Centro, Rio de Janeiro CEP 20211-030, Brazil; (J.I.F.L.); (C.A.d.C.S.); (R.G.C.); (A.M.S.); (M.E.D.L.); (O.C.d.C.N.); (L.A.F.)
| | - Arthur Daniel Rocha Alves
- Laboratório de Desenvolvimento Tecnológico em Virologia, Oswaldo Cruz Institute/Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro CEP 21040-900, Brazil; (A.D.R.A.); (W.L.d.C.N.P.C.)
| | - Wagner Luis da Costa Nunes Pimentel Coelho
- Laboratório de Desenvolvimento Tecnológico em Virologia, Oswaldo Cruz Institute/Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro CEP 21040-900, Brazil; (A.D.R.A.); (W.L.d.C.N.P.C.)
| | - Luiz Amorim Filho
- Instituto de Hematologia Arthur de Siqueira Cavalcanti/Hemorio, Rua Frei Caneca, 8, Centro, Rio de Janeiro CEP 20211-030, Brazil; (J.I.F.L.); (C.A.d.C.S.); (R.G.C.); (A.M.S.); (M.E.D.L.); (O.C.d.C.N.); (L.A.F.)
| | - Luciane Almeida Amado Leon
- Laboratório de Desenvolvimento Tecnológico em Virologia, Oswaldo Cruz Institute/Fiocruz, Avenida Brasil, 4365, Manguinhos, Rio de Janeiro CEP 21040-900, Brazil; (A.D.R.A.); (W.L.d.C.N.P.C.)
- Correspondence: ; Tel.: +55-(21)-2562-1876
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Harpaldas H, Arumugam S, Campillo Rodriguez C, Kumar BA, Shi V, Sia SK. Point-of-care diagnostics: recent developments in a pandemic age. LAB ON A CHIP 2021; 21:4517-4548. [PMID: 34778896 PMCID: PMC8860149 DOI: 10.1039/d1lc00627d] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
In this review, we provide an overview of developments in point-of-care (POC) diagnostics during the COVID-19 pandemic. We review these advances within the framework of a holistic POC ecosystem, focusing on points of interest - both technological and non-technological - to POC researchers and test developers. Technologically, we review design choices in assay chemistry, microfluidics, and instrumentation towards nucleic acid and protein detection for severe acute respiratory coronavirus 2 (SARS-CoV-2), and away from the lab bench, developments that supported the unprecedented rapid development, scale up, and deployment of POC devices. We describe common features in the POC technologies that obtained Emergency Use Authorization (EUA) for nucleic acid, antigen, and antibody tests, and how these tests fit into four distinct POC use cases. We conclude with implications for future pandemics, infectious disease monitoring, and digital health.
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Affiliation(s)
- Harshit Harpaldas
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
| | - Siddarth Arumugam
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
| | | | - Bhoomika Ajay Kumar
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
| | - Vivian Shi
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
| | - Samuel K Sia
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
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10
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de Paula Eduardo F, Bezinelli LM, de Araujo CAR, Moraes JVV, Birbrair A, Pinho JRR, Hamerschlak N, Al-Hashimi I, Heller D. Self-collected unstimulated saliva, oral swab, and nasopharyngeal swab specimens in the detection of SARS-CoV-2. Clin Oral Investig 2021; 26:1561-1567. [PMID: 34387730 PMCID: PMC8360804 DOI: 10.1007/s00784-021-04129-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 08/03/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The presence of SARS-CoV-2 virus in the saliva of patients infected with COVID-19 has been confirmed by several studies. However, the use of saliva for the diagnosis of COVID-19 remains limited, because of the discrepancies in the results, which might be due to using different saliva sampling methods. The purpose of this study was to compare the consistency of SARS-CoV-2 detection using two different saliva sampling methods (oral swab and unstimulated saliva) to that of the standard nasopharyngeal swab. METHODS Fifty-five subjects were recruited from a pool of COVID-19 inpatient at the Hospital Israelita Albert Einstein (HIAE), Brazil. Nasopharyngeal swab, oral swab, and self-collected unstimulated saliva samples were examined for SARS-CoV-2 using RT-PCR. RESULTS Self-collected unstimulated saliva demonstrated 87.3% agreement in the detection of SARS-CoV-2 virus as compared with the nasopharyngeal swab, while oral swab displayed 65.9% agreement when compared to nasopharyngeal swab and 73% when compared to self-collected unstimulated saliva. CONCLUSION Unstimulated self-collected saliva samples have shown a higher agreement with the nasopharyngeal swab samples for SARS-COV-2 detection than that obtained when using oral swab samples. CLINICAL RELEVANCE This study compares the accuracy of COVID-19 test using different saliva sampling methods to that of nasopharyngeal swab. Given the need for a simple self-applied test that can be performed at home, our findings support the efficacy of self-collected unstimulated saliva samples in the diagnosis of SARS-CoV-2 infection, alleviating the demands for swab supplies, personal protective equipment, and healthcare personnel.
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Affiliation(s)
| | | | - Carlos Ariel Rodrigues de Araujo
- Post Graduate Program in Dentistry, Universidade Cruzeiro Do Sul, Rua Galvão Bueno, 868, São Paulo, São Paulo, 01506-000, Brazil
| | - João Vitor Vanderlan Moraes
- Faculdade Israelita de Ciencias da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, 05652-900, Brazil
| | - Alexander Birbrair
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, Brazil.,Department of Radiology, Columbia University Medical Center, New York, NY, USA
| | | | | | | | - Debora Heller
- Hospital Israelita Albert Einstein, São Paulo, 05652-900, Brazil. .,Post Graduate Program in Dentistry, Universidade Cruzeiro Do Sul, Rua Galvão Bueno, 868, São Paulo, São Paulo, 01506-000, Brazil. .,Department of Periodontology, School of Dentistry, University of Texas Health Science Center At San Antonio, San Antonio, TX, 78229, USA.
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11
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Mendoza RP, Bi C, Cheng HT, Gabutan E, Pagaspas GJ, Khan N, Hoxie H, Hanna S, Holmes K, Gao N, Lewis R, Wang H, Neumann D, Chan A, Takizawa M, Lowe J, Chen X, Kelly B, Asif A, Barnes K, Khan N, May B, Chowdhury T, Pollonini G, Gouda N, Guy C, Gordon C, Ayoluwa N, Colon E, Miller-Medzon N, Jones S, Hossain R, Dodson A, Weng M, McGaskey M, Vasileva A, Lincoln AE, Sikka R, Wyllie AL, Berke EM, Libien J, Pincus M, Premsrirut PK. Implementation of a pooled surveillance testing program for asymptomatic SARS-CoV-2 infections in K-12 schools and universities. EClinicalMedicine 2021; 38:101028. [PMID: 34308321 DOI: 10.1101/2021.02.09.21251464v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/21/2021] [Accepted: 06/29/2021] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND The negative impact of continued school closures during the height of the COVID-19 pandemic warrants the establishment of cost-effective strategies for surveillance and screening to safely reopen and monitor for potential in-school transmission. Here, we present a novel approach to increase the availability of repetitive and routine COVID-19 testing that may ultimately reduce the overall viral burden in the community. METHODS We implemented a testing program using the SalivaClear࣪ pooled surveillance method that included students, faculty and staff from K-12 schools (student age range 5-18 years) and universities (student age range >18 years) across the country (Mirimus Clinical Labs, Brooklyn, NY). The data analysis was performed using descriptive statistics, kappa agreement, and outlier detection analysis. FINDINGS From August 27, 2020 until January 13, 2021, 253,406 saliva specimens were self-collected from students, faculty and staff from 93 K-12 schools and 18 universities. Pool sizes of up to 24 samples were tested over a 20-week period. Pooled testing did not significantly alter the sensitivity of the molecular assay in terms of both qualitative (100% detection rate on both pooled and individual samples) and quantitative (comparable cycle threshold (Ct) values between pooled and individual samples) measures. The detection of SARS-CoV-2 in saliva was comparable to the nasopharyngeal swab. Pooling samples substantially reduced the costs associated with PCR testing and allowed schools to rapidly assess transmission and adjust prevention protocols as necessary. In one instance, in-school transmission of the virus was determined within the main office and led to review and revision of heating, ventilating and air-conditioning systems. INTERPRETATION By establishing low-cost, weekly testing of students and faculty, pooled saliva analysis for the presence of SARS-CoV-2 enabled schools to determine whether transmission had occurred, make data-driven decisions, and adjust safety protocols. We provide strong evidence that pooled testing may be a fundamental component to the reopening of schools by minimizing the risk of in-school transmission among students and faculty. FUNDING Skoll Foundation generously provided funding to Mobilizing Foundation and Mirimus for these studies.
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Affiliation(s)
- Rachelle P Mendoza
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
- Department of Pathology, SUNY Downstate Health Sciences University, 450 Clarkson Ave., Brooklyn, NY 11226, USA
| | - Chongfeng Bi
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Hui-Ting Cheng
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Elmer Gabutan
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | | | - Nadia Khan
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Helen Hoxie
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Stephen Hanna
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Kelly Holmes
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Nicholas Gao
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Raychel Lewis
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Huaien Wang
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Daniel Neumann
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Angela Chan
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Meril Takizawa
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - James Lowe
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Xiao Chen
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Brianna Kelly
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Aneeza Asif
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Keena Barnes
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Nusrat Khan
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Brandon May
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Tasnim Chowdhury
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | | | - Nourelhoda Gouda
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Chante Guy
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Candice Gordon
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Nana Ayoluwa
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Elvin Colon
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | | | - Shanique Jones
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Rauful Hossain
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Arabia Dodson
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Meimei Weng
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Miranda McGaskey
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
| | - Ana Vasileva
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, 450 Clarkson Ave., Brooklyn, NY 11226, USA
| | - Andrew E Lincoln
- MedStar Sports Medicine Research Center, MedStar Health Research Institute, 2900 S Hanover St., Baltimore, MD 21225, USA
- Department of Rehabilitation Medicine, Georgetown University Medical Center, 3800 Reservoir Rd NW, Washington, DC 20007, USA
| | - Robby Sikka
- Minnesota Timberwolves, 600 Hennepin Ave, Minneapolis, MN 55403, USA
| | - Anne L Wyllie
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College St, New Haven, CT 06510, USA
| | - Ethan M Berke
- OptumLabs, UnitedHealth Group, 12700 Whitewater Dr, Minnetonka, MN 55343 USA
| | - Jenny Libien
- Department of Pathology, SUNY Downstate Health Sciences University, 450 Clarkson Ave., Brooklyn, NY 11226, USA
| | - Matthew Pincus
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
- Department of Pathology, SUNY Downstate Health Sciences University, 450 Clarkson Ave., Brooklyn, NY 11226, USA
| | - Prem K Premsrirut
- Mirimus Inc, 760 Parkside Ave. Suite 206, Brooklyn, NY 11226, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, 450 Clarkson Ave., Brooklyn, NY 11226, USA
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12
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Gitman MR, Shaban MV, Paniz-Mondolfi AE, Sordillo EM. Laboratory Diagnosis of SARS-CoV-2 Pneumonia. Diagnostics (Basel) 2021; 11:diagnostics11071270. [PMID: 34359353 PMCID: PMC8306256 DOI: 10.3390/diagnostics11071270] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 07/13/2021] [Indexed: 02/08/2023] Open
Abstract
The emergence and rapid proliferation of Coronavirus Disease-2019, throughout the past year, has put an unprecedented strain on the global schema of health infrastructure and health economy. The time-sensitive agenda of identifying the virus in humans and delivering a vaccine to the public constituted an effort to flatten the statistical curve of viral spread as it grew exponentially. At the forefront of this effort was an exigency of developing rapid and accurate diagnostic strategies. These have emerged in various forms over the past year—each with strengths and weaknesses. To date, they fall into three categories: (1) those isolating and replicating viral RNA in patient samples from the respiratory tract (Nucleic Acid Amplification Tests; NAATs), (2) those detecting the presence of viral proteins (Rapid Antigen Tests; RATs) and serology-based exams identifying antibodies to the virus in whole blood and serum. The latter vary in their detection of immunoglobulins of known prevalence in early-stage and late-stage infection. With this review, we delineate the categories of testing measures developed to date, analyze the efficacy of collecting patient specimens from diverse regions of the respiratory tract, and present the up and coming technologies which have made pathogen identification easier and more accessible to the public.
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Affiliation(s)
- Melissa R. Gitman
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (A.E.P.-M.); (E.M.S.)
- Correspondence: ; Tel.: +1-212-659-8173
| | - Maryia V. Shaban
- Emerging Pathogens and Zoonoses Network, Incubadora Venezolana de la Ciencia, Cabudare 3023, Venezuela;
| | - Alberto E. Paniz-Mondolfi
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (A.E.P.-M.); (E.M.S.)
| | - Emilia M. Sordillo
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (A.E.P.-M.); (E.M.S.)
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13
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Ke R, Martinez PP, Smith RL, Gibson LL, Mirza A, Conte M, Gallagher N, Luo CH, Jarrett J, Conte A, Liu T, Farjo M, Walden KKO, Rendon G, Fields CJ, Wang L, Fredrickson R, Edmonson DC, Baughman ME, Chiu KK, Choi H, Scardina KR, Bradley S, Gloss SL, Reinhart C, Yedetore J, Quicksall J, Owens AN, Broach J, Barton B, Lazar P, Heetderks WJ, Robinson ML, Mostafa HH, Manabe YC, Pekosz A, McManus DD, Brooke CB. Daily sampling of early SARS-CoV-2 infection reveals substantial heterogeneity in infectiousness. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021. [PMID: 34282424 DOI: 10.1101/2021.07.12.21260208] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The dynamics of SARS-CoV-2 replication and shedding in humans remain poorly understood. We captured the dynamics of infectious virus and viral RNA shedding during acute infection through daily longitudinal sampling of 60 individuals for up to 14 days. By fitting mechanistic models, we directly estimate viral reproduction and clearance rates, and overall infectiousness for each individual. Significant person-to-person variation in infectious virus shedding suggests that individual-level heterogeneity in viral dynamics contributes to superspreading. Viral genome load often peaked days earlier in saliva than in nasal swabs, indicating strong compartmentalization and suggesting that saliva may serve as a superior sampling site for early detection of infection. Viral loads and clearance kinetics of B.1.1.7 and non-B.1.1.7 viruses in nasal swabs were indistinguishable, however B.1.1.7 exhibited a significantly slower pre-peak growth rate in saliva. These results provide a high-resolution portrait of SARS-CoV-2 infection dynamics and implicate individual-level heterogeneity in infectiousness in superspreading.
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14
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Borghi E, Massa V, Zuccotti G, Wyllie AL. Testing Saliva to Reveal the Submerged Cases of the COVID-19 Iceberg. Front Microbiol 2021; 12:721635. [PMID: 34322114 PMCID: PMC8312273 DOI: 10.3389/fmicb.2021.721635] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/22/2021] [Indexed: 01/10/2023] Open
Affiliation(s)
- Elisa Borghi
- Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Valentina Massa
- Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Gianvincenzo Zuccotti
- Department of Biomedical and Clinical Sciences “L. Sacco”, Università degli Studi di Milano, Milan, Italy
| | - Anne L. Wyllie
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States
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