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Femtomolar SARS-CoV-2 Antigen Detection Using the Microbubbling Digital Assay with Smartphone Readout Enables Antigen Burden Quantitation and Tracking.
Chen, Hui; Li, Zhao; Feng, Sheng; Richard-Greenblatt, Melissa; Hutson, Emily; Andrianus, Stefen; Glaser, Laurel J; Rodino, Kyle G; Qian, Jianing; Jayaraman, Dinesh; Collman, Ronald G; Glascock, Abigail; Bushman, Frederic D; Lee, Jae Seung; Cherry, Sara; Fausto, Alejandra; Weiss, Susan R; Koo, Hyun; Corby, Patricia M; Oceguera, Alfonso; O'Doherty, Una; Garfall, Alfred L; Vogl, Dan T; Stadtmauer, Edward A; Wang, Ping.
  • Chen H; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Li Z; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Feng S; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Richard-Greenblatt M; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Hutson E; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Andrianus S; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Glaser LJ; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Rodino KG; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Qian J; Department of Computer and Information Science and GRASP Lab, University of Pennsylvania, Philadelphia, PA, USA.
  • Jayaraman D; Department of Computer and Information Science and GRASP Lab, University of Pennsylvania, Philadelphia, PA, USA.
  • Collman RG; Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Glascock A; Department of Microbiology and Penn Center for Research on Coronavirus and Other Emerging Pathogens, University of Pennsylvania, Philadelphia, PA, USA.
  • Bushman FD; Department of Microbiology and Penn Center for Research on Coronavirus and Other Emerging Pathogens, University of Pennsylvania, Philadelphia, PA, USA.
  • Lee JS; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Cherry S; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Fausto A; Department of Microbiology and Penn Center for Research on Coronavirus and Other Emerging Pathogens, University of Pennsylvania, Philadelphia, PA, USA.
  • Weiss SR; Department of Microbiology and Penn Center for Research on Coronavirus and Other Emerging Pathogens, University of Pennsylvania, Philadelphia, PA, USA.
  • Koo H; Department of Orthodontics, Divisions of Pediatric Dentistry and Community of Oral Health, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Corby PM; Center for Innovation & Precision Dentistry, School of Dental Medicine and School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
  • Oceguera A; Department of Orthodontics, Divisions of Pediatric Dentistry and Community of Oral Health, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • O'Doherty U; Center for Innovation & Precision Dentistry, School of Dental Medicine and School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
  • Garfall AL; Department of Oral Medicine, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA, Center for Clinical and Translational Research, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Vogl DT; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Stadtmauer EA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Wang P; Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Clin Chem ; 68(1): 230-239, 2021 12 30.
Article in English | MEDLINE | ID: covidwho-1354284
ABSTRACT

BACKGROUND:

High-sensitivity severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen assays are desirable to mitigate false negative results. Limited data are available to quantify and track SARS-CoV-2 antigen burden in respiratory samples from different populations.

METHODS:

We developed the Microbubbling SARS-CoV-2 Antigen Assay (MSAA) with smartphone readout, with a limit of detection of 0.5 pg/mL (10.6 fmol/L) nucleocapsid antigen or 4000 copies/mL inactivated SARS-CoV-2 virus in nasopharyngeal (NP) swabs. We developed a computer vision and machine learning-based automatic microbubble image classifier to accurately identify positives and negatives and quantified and tracked antigen dynamics in intensive care unit coronavirus disease 2019 (COVID-19) inpatients and immunocompromised COVID-19 patients.

RESULTS:

Compared to qualitative reverse transcription-polymerase chain reaction methods, the MSAA demonstrated a positive percentage agreement of 97% (95% CI 92%-99%) and a negative percentage agreement of 97% (95% CI 94%-100%) in a clinical validation study with 372 residual clinical NP swabs. In immunocompetent individuals, the antigen positivity rate in swabs decreased as days-after-symptom-onset increased, despite persistent nucleic acid positivity. Antigen was detected for longer and variable periods of time in immunocompromised patients with hematologic malignancies. Total microbubble volume, a quantitative marker of antigen burden, correlated inversely with cycle threshold values and days-after-symptom-onset. Viral sequence variations were detected in patients with long duration of high antigen burden.

CONCLUSIONS:

The MSAA enables sensitive and specific detection of acute infections and quantification and tracking of antigen burden and may serve as a screening method in longitudinal studies to identify patients who are likely experiencing active rounds of ongoing replication and warrant close viral sequence monitoring.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Smartphone / COVID-19 Testing / COVID-19 / Antigens, Viral Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Topics: Long Covid Limits: Humans Language: English Journal: Clin Chem Journal subject: Chemistry, Clinical Year: 2021 Document Type: Article Affiliation country: Clinchem

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Smartphone / COVID-19 Testing / COVID-19 / Antigens, Viral Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Topics: Long Covid Limits: Humans Language: English Journal: Clin Chem Journal subject: Chemistry, Clinical Year: 2021 Document Type: Article Affiliation country: Clinchem