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COVID-19 Serology at Population Scale: SARS-CoV-2-Specific Antibody Responses in Saliva.
Pisanic, Nora; Randad, Pranay R; Kruczynski, Kate; Manabe, Yukari C; Thomas, David L; Pekosz, Andrew; Klein, Sabra L; Betenbaugh, Michael J; Clarke, William A; Laeyendecker, Oliver; Caturegli, Patrizio P; Larman, H Benjamin; Detrick, Barbara; Fairley, Jessica K; Sherman, Amy C; Rouphael, Nadine; Edupuganti, Srilatha; Granger, Douglas A; Granger, Steve W; Collins, Matthew H; Heaney, Christopher D.
  • Pisanic N; Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Randad PR; Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Kruczynski K; Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Manabe YC; Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Thomas DL; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Pekosz A; Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Klein SL; Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Betenbaugh MJ; Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Clarke WA; Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Laeyendecker O; Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Caturegli PP; Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Larman HB; Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
  • Detrick B; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Fairley JK; Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Sherman AC; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
  • Rouphael N; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, Maryland, USA.
  • Edupuganti S; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Granger DA; Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Granger SW; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Collins MH; Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Heaney CD; Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
J Clin Microbiol ; 59(1)2020 12 17.
Article in English | MEDLINE | ID: covidwho-991751
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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Semantic information from SemMedBD (by NLM)
1. Salivary immunoglobulin A PART_OF 2019 novel coronavirus
Subject
Salivary immunoglobulin A
Predicate
PART_OF
Object
2019 novel coronavirus
2. Nucleocapsid PART_OF 2019 novel coronavirus
Subject
Nucleocapsid
Predicate
PART_OF
Object
2019 novel coronavirus
3. Immunoenzyme Procedure USES Antibodies
Subject
Immunoenzyme Procedure
Predicate
USES
Object
Antibodies
4. Nucleocapsid CONVERTS_TO Antigens
Subject
Nucleocapsid
Predicate
CONVERTS_TO
Object
Antigens
5. High sensitivity DIAGNOSES Confirmed case
Subject
High sensitivity
Predicate
DIAGNOSES
Object
Confirmed case
6. Hematologic Tests USES Antibodies
Subject
Hematologic Tests
Predicate
USES
Object
Antibodies
7. saliva LOCATION_OF Antibodies
Subject
saliva
Predicate
LOCATION_OF
Object
Antibodies
8. Salivary immunoglobulin A PART_OF 2019 novel coronavirus
Subject
Salivary immunoglobulin A
Predicate
PART_OF
Object
2019 novel coronavirus
9. Nucleocapsid PART_OF 2019 novel coronavirus
Subject
Nucleocapsid
Predicate
PART_OF
Object
2019 novel coronavirus
10. Immunoenzyme Procedure USES Antibodies
Subject
Immunoenzyme Procedure
Predicate
USES
Object
Antibodies
11. Nucleocapsid CONVERTS_TO Antigens
Subject
Nucleocapsid
Predicate
CONVERTS_TO
Object
Antigens
12. High sensitivity DIAGNOSES Confirmed case
Subject
High sensitivity
Predicate
DIAGNOSES
Object
Confirmed case
13. Hematologic Tests USES Antibodies
Subject
Hematologic Tests
Predicate
USES
Object
Antibodies
14. saliva LOCATION_OF Antibodies
Subject
saliva
Predicate
LOCATION_OF
Object
Antibodies
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of an ongoing pandemic that has infected over 36 million and killed over 1 million people. Informed implementation of government public health policies depends on accurate data on SARS-CoV-2 immunity at a population scale. We hypothesized that detection of SARS-CoV-2 salivary antibodies could serve as a noninvasive alternative to serological testing for monitoring of SARS-CoV-2 infection and seropositivity at a population scale. We developed a multiplex SARS-CoV-2 antibody immunoassay based on Luminex technology that comprised 12 CoV antigens, mostly derived from SARS-CoV-2 nucleocapsid (N) and spike (S). Saliva and sera collected from confirmed coronavirus disease 2019 (COVID-19) cases and from the pre-COVID-19 era were tested for IgG, IgA, and IgM to the antigen panel. Matched saliva and serum IgG responses (n = 28) were significantly correlated. The salivary anti-N IgG response resulted in the highest sensitivity (100%), exhibiting a positive response in 24/24 reverse transcription-PCR (RT-PCR)-confirmed COVID-19 cases sampled at >14 days post-symptom onset (DPSO), whereas the salivary anti-receptor binding domain (RBD) IgG response yielded 100% specificity. Temporal kinetics of IgG in saliva were consistent with those observed in blood and indicated that most individuals seroconvert at around 10 DPSO. Algorithms employing a combination of the IgG responses to N and S antigens result in high diagnostic accuracy (100%) by as early as 10 DPSO. These results support the use of saliva-based antibody testing as a noninvasive and scalable alternative to blood-based antibody testing.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Saliva / SARS-CoV-2 / COVID-19 / Antibodies, Viral Type of study: Diagnostic study Limits: Female / Humans / Male Language: English Year: 2020 Document Type: Article Affiliation country: JCM.02204-20

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Saliva / SARS-CoV-2 / COVID-19 / Antibodies, Viral Type of study: Diagnostic study Limits: Female / Humans / Male Language: English Year: 2020 Document Type: Article Affiliation country: JCM.02204-20