Development of a Fully Automated Desktop Analyzer and Ultrahigh Sensitivity Digital Immunoassay for SARS-CoV-2 Nucleocapsid Antigen Detection.
SARS-CoV-2
desktop analyzer
digital ELISA
digital immunoassay
nucleocapsid antigen
Journal
Biomedicines
ISSN: 2227-9059
Titre abrégé: Biomedicines
Pays: Switzerland
ID NLM: 101691304
Informations de publication
Date de publication:
15 Sep 2022
15 Sep 2022
Historique:
received:
04
08
2022
revised:
09
09
2022
accepted:
11
09
2022
entrez:
23
9
2022
pubmed:
24
9
2022
medline:
24
9
2022
Statut:
epublish
Résumé
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has had a significant impact on public health and the global economy. Several diagnostic tools are available for the detection of infectious diseases, with reverse transcription-polymerase chain reaction (RT-PCR) testing specifically recommended for viral RNA detection. However, this diagnostic method is costly, complex, and time-consuming. Although it does not have sufficient sensitivity, antigen detection by an immunoassay is an inexpensive and simpler alternative to RT-PCR. Here, we developed an ultrahigh sensitivity digital immunoassay (d-IA) for detecting SARS-CoV-2 nucleocapsid (N) protein as antigens using a fully automated desktop analyzer based on a digital enzyme-linked immunosorbent assay. We developed a fully automated d-IA desktop analyzer and measured the viral N protein as an antigen in nasopharyngeal (NP) swabs from patients with coronavirus disease. We studied nasopharyngeal swabs of 159 and 88 patients who were RT-PCR-negative and RT-PCR-positive, respectively. The limit of detection of SARS-CoV-2 d-IA was 0.0043 pg/mL of N protein. The cutoff value was 0.029 pg/mL, with a negative RT-PCR distribution. The sensitivity of RT-PCR-positive specimens was estimated to be 94.3% (83/88). The assay time was 28 min. Our d-IA system, which includes a novel fully automated desktop analyzer, enabled detection of the SARS-CoV-2 N-protein with a comparable sensitivity to RT-PCR within 30 min. Thus, d-IA shows potential for SARS-CoV-2 detection across multiple diagnostic centers including small clinics, hospitals, airport quarantines, and clinical laboratories.
Sections du résumé
BACKGROUND
BACKGROUND
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has had a significant impact on public health and the global economy. Several diagnostic tools are available for the detection of infectious diseases, with reverse transcription-polymerase chain reaction (RT-PCR) testing specifically recommended for viral RNA detection. However, this diagnostic method is costly, complex, and time-consuming. Although it does not have sufficient sensitivity, antigen detection by an immunoassay is an inexpensive and simpler alternative to RT-PCR. Here, we developed an ultrahigh sensitivity digital immunoassay (d-IA) for detecting SARS-CoV-2 nucleocapsid (N) protein as antigens using a fully automated desktop analyzer based on a digital enzyme-linked immunosorbent assay.
METHODS
METHODS
We developed a fully automated d-IA desktop analyzer and measured the viral N protein as an antigen in nasopharyngeal (NP) swabs from patients with coronavirus disease. We studied nasopharyngeal swabs of 159 and 88 patients who were RT-PCR-negative and RT-PCR-positive, respectively.
RESULTS
RESULTS
The limit of detection of SARS-CoV-2 d-IA was 0.0043 pg/mL of N protein. The cutoff value was 0.029 pg/mL, with a negative RT-PCR distribution. The sensitivity of RT-PCR-positive specimens was estimated to be 94.3% (83/88). The assay time was 28 min.
CONCLUSIONS
CONCLUSIONS
Our d-IA system, which includes a novel fully automated desktop analyzer, enabled detection of the SARS-CoV-2 N-protein with a comparable sensitivity to RT-PCR within 30 min. Thus, d-IA shows potential for SARS-CoV-2 detection across multiple diagnostic centers including small clinics, hospitals, airport quarantines, and clinical laboratories.
Identifiants
pubmed: 36140390
pii: biomedicines10092291
doi: 10.3390/biomedicines10092291
pmc: PMC9496537
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Japan Agency for Medical Research and Development
ID : JP20he0722003
Références
J Virol. 2020 Jun 16;94(13):
pubmed: 32546606
Nano Lett. 2006 Mar;6(3):520-3
pubmed: 16522055
Nat Biotechnol. 2021 Mar;39(3):274-275
pubmed: 33603204
Euro Surveill. 2019 Feb;24(6):
pubmed: 30755292
Nat Commun. 2021 Mar 26;12(1):1931
pubmed: 33771993
Clin Infect Dis. 2021 Nov 2;73(9):e2861-e2866
pubmed: 33479756
Lab Chip. 2012 Mar 7;12(5):977-85
pubmed: 22179487
J Clin Virol. 2020 Dec;133:104684
pubmed: 33176236
J Biosci Bioeng. 2001;91(5):500-3
pubmed: 16233029
Nat Biotechnol. 2005 Mar;23(3):361-5
pubmed: 15723045
Proc Natl Acad Sci U S A. 1961 Dec 15;47:1981-91
pubmed: 14038788
N Engl J Med. 2020 Feb 20;382(8):727-733
pubmed: 31978945
J Infect Chemother. 2021 Jun;27(6):915-918
pubmed: 33676843
Med Microbiol Immunol. 2021 Feb;210(1):65-72
pubmed: 33452927
Lab Chip. 2012 Dec 7;12(23):4986-91
pubmed: 22961607
Clin Chem Lab Med. 2021 Apr 07;59(8):1468-1476
pubmed: 33823089
Lab Chip. 2010 Dec 21;10(24):3355-62
pubmed: 21031171
Cell Rep Med. 2021 Jun 15;2(6):100311
pubmed: 34027498
Anal Chem. 2011 Mar 15;83(6):2279-85
pubmed: 21344864
Neurol Res. 2020 Apr;42(4):346-353
pubmed: 32048573
Elife. 2020 Apr 02;9:
pubmed: 32228860
Pan Afr Med J. 2020 Jul 21;35(Suppl 2):121
pubmed: 33282076
J Clin Microbiol. 2005 Nov;43(11):5452-6
pubmed: 16272469
J Lab Autom. 2016 Aug;21(4):533-47
pubmed: 26077162
Clin Chem. 2020 Dec 1;66(12):1562-1572
pubmed: 32897389
Int J Infect Dis. 2021 Apr;105:7-14
pubmed: 33556612