Non-Invasive Detection of SARS-CoV-2 Antigen in Saliva versus Nasopharyngeal Swabs Using Nanobodies Conjugated Gold Nanoparticles.

ELISA SARS-CoV-2 diagnosis nanobodies saliva

Journal

Tropical medicine and infectious disease
ISSN: 2414-6366
Titre abrégé: Trop Med Infect Dis
Pays: Switzerland
ID NLM: 101709042

Informations de publication

Date de publication:
13 Jun 2022
Historique:
received: 11 05 2022
revised: 27 05 2022
accepted: 08 06 2022
entrez: 23 6 2022
pubmed: 24 6 2022
medline: 24 6 2022
Statut: epublish

Résumé

The development of sensitive, non-invasive tests for the detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) antigens is imperative, and it is still challenging to manage the extent of infection throughout the population. Here, we designed and optimized a sandwich enzyme-linked immunosorbent assay (ELISA) protocol for SARS-CoV-2 S1 antigen detection in saliva. Both saliva samples and nasopharyngeal swabs were collected from 220 real-time quantitative polymerase chain reaction (RT-qPCR)-confirmed positive and negative cases. S1 protein receptor-binding domain (RBD) nanobodies were efficiently conjugated with 40 nm gold nanoparticles (AuNPs) and employed as antigen detection probes in the developed system, while recombinant S1 monoclonal antibodies (S1mAbs) were employed as antigen capture probes. After checkerboard assays and system optimization, the clinical samples were tested. In saliva, the developed ELISA system showed the highest sensitivity (93.3) for samples with cycle threshold (Ct) values ≤ 30; interestingly, high sensitivity (87.5 and 86%) was also achieved for samples with Ct values ≤ 35 and ≤40, respectively, compared with 90, 80 and 88% sensitivity rates for nasopharyngeal swabs with the same categorized Ct values. However, the specificity was 100%, and no cross-reactions were detected with Middle East respiratory syndrome coronavirus (MERS-CoV) or SARS-CoV antigens. These results reveal that our protocol could be established as an efficient and sensitive, non-invasive diagnostic tool for the early detection of SARS-CoV-2 infection using easily collectable saliva samples.

Identifiants

pubmed: 35736981
pii: tropicalmed7060102
doi: 10.3390/tropicalmed7060102
pmc: PMC9227045
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : by Science, Technology and Innovation Funding Authority (STDF)
ID : 44471

Références

Int J Antimicrob Agents. 2020 Mar;55(3):105924
pubmed: 32081636
Int J Environ Res Public Health. 2020 Jun 19;17(12):
pubmed: 32575570
J Med Virol. 2021 Dec;93(12):6696-6702
pubmed: 34331713
R Soc Open Sci. 2021 Sep 30;8(9):211016
pubmed: 34631127
Biosens Bioelectron. 2020 Nov 13;173:112817
pubmed: 33221508
Acta Biomed. 2020 Mar 19;91(1):157-160
pubmed: 32191675
ACS Appl Mater Interfaces. 2021 Apr 21;13(15):17353-17360
pubmed: 33845569
J Clin Virol. 2020 Nov;132:104652
pubmed: 33053493
J Korean Med Sci. 2020 Mar 23;35(11):e123
pubmed: 32193904
J Clin Med. 2020 May 15;9(5):
pubmed: 32429101
Anal Bioanal Chem. 2019 Mar;411(9):1703-1713
pubmed: 30734854
Am J Chin Med. 2020;48(3):737-762
pubmed: 32164424
Expert Rev Anti Infect Ther. 2022 Mar;20(3):473-481
pubmed: 34477019
PLoS One. 2017 May 11;12(5):e0177592
pubmed: 28494030
Microorganisms. 2020 Dec 28;9(1):
pubmed: 33379279
Nat Biotechnol. 2005 Sep;23(9):1126-36
pubmed: 16151406
Nanomedicine (Lond). 2013 Jun;8(6):1013-26
pubmed: 23730699
Nat Struct Mol Biol. 2020 Sep;27(9):846-854
pubmed: 32661423
Emerg Microbes Infect. 2020 Dec;9(1):1489-1496
pubmed: 32543298
ACS Appl Mater Interfaces. 2014 Oct 8;6(19):16974-81
pubmed: 25188392
J Clin Virol. 2020 Aug;129:104455
pubmed: 32485618
Clin Microbiol Infect. 2021 Apr;27(4):636.e1-636.e4
pubmed: 33421573
BMJ. 2020 Mar 22;368:m1163
pubmed: 32201376

Auteurs

Manal Kamel (M)

Immunology Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.

Sara Maher (S)

Immunology Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.

Hanan El-Baz (H)

Immunology Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.

Faten Salah (F)

Immunology Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.

Omar Sayyouh (O)

Infection Control Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.

Zeinab Demerdash (Z)

Immunology Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.

Classifications MeSH