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Last updated date: Jun 14, 2022 DOI: 10.21769/p1720 Views: 720 Forks: 0
Abstract
An in house urine-based ELISA (Enzyme-linked immunosorbent assay) were developed to detect anti-SARS-CoV-2 nucleocapsid protein (N) IgG antibodies in urine samples, providing a noninvasive diagnostic tool to assess the humoral response against COVID-19. The presence of anti-SARS-CoV-2 N protein antibodies was detected with 94% sensitivity and 100% specificity with urines collected from the second to the 60th day post symptoms onset with this protocol.
Background
Many different serological assays are available for COVID-19, which preferentially uses plasma or serum as sample. Drawing blood can be unpleasant and difficult to perform in some circumstances, requiring sterile equipment and trained staff. Body fluids such as urine have been suggested as an alternative for the detection of immunoglobulins against several microbial agents (1-10). In this context, we develop an in-house ELISA to detect anti- SARS-CoV-2 nucleocapsid protein antibodies in urine samples. The protocol was based on a pre-validated serum-based ELISA with some modifications. Urine-based and paired serum-based ELISA achieved a very similar qualitative profile. Some of the advantages of the urine-based ELISA include ease of sample collection, biological sample stability and high levels of accuracy. Since most vaccine platforms are based on immune response against SARS-CoV-2 Spike (S) protein, anti-SARS-CoV-2 N ELISA may differentiate in this case individuals previously infected with SARS- CoV-2 from those vaccinated (11,12). So, this test may contribute to epidemiological studies by helping to determine previous exposure to SARS-CoV-2 in a population or individual level.
Materials and Reagents
Equipment
Software
Procedure
1. Plates
Blocking: Remove the coating solution from the wells by aspiration (ELISA microplate washer) or by decanting (manual). Add 250 µl of blocking solution to each well of the plate. Incubate at room temperature for two hours;
2. ELISA
Add 300ul of Wash Solution to each well (and then remove) and repeat it for 5 times. To ensure plate drying, at the end of the wash, tap the plate inverted for a few seconds on absorbent paper;
3. Data analysis
a. Calculation of ELISA cut-off value.
The optical density (OD) of the negative control samples *3 was determined and used to calculate the Cut-off as determined by the formula (13):
*3 We used n=30 negative samples.
𝑐𝑢𝑡 − 𝑜𝑓𝑓 = 𝐴𝑛𝑒𝑔 + 2 (𝑆𝐷𝑛𝑒𝑔)
𝐴𝑛𝑒𝑔: Average of negative samples
𝑆𝐷𝑛𝑒𝑔: standard deviation of negative samples
Use the cut-off to evaluate the diagnostic performance by estimation of sensitivity, specificity, area under the curve at GraphPad Prism (Analyses>Column analyses>Roc Curve).
b. Index calculation: calculate the index (I) of sample absorbance (Abs) over the value of cut-off, according to the equation:
The results can be classified as follows:
I < 0.8: negative
0.8 ≤ I < 1.1: borderline (indeterminate)
I ≥ 1.1: positive
Use conditional formatting in Excel to classify the results.
In the case of an indeterminate result, the sample must be reanalysed. Samples that repeatedly obtain indeterminate results should be retested using an alternative method. If results remain indeterminate, a new sample should be collected in one week.
Acknowledgments
We acknowledge the help of all students, nurses, and clinicians involved in the collection and organization of the samples. We also thank Hospital das Clínicas/UFMG and Hospital Santa Helena for allowing the collection of samples. Last, we thank CT-Vacinas/UFMG for technical support. The study was supported with the following grants: Secretaria de Educação Superior do Ministério da Educação (SESU/MEC) - Grant 04/2020 - Enfrentamento da COVID-19; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) - Grant APQ-408675/2018-7; Brazilian Ministry of Science, Technology and Innovation (MCTI) - Rede Virus thought its many iniciatives ; Brazilian agencies Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), CNPq and Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) - fellowships/scholarships.
Reference
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Y. Gong, Q. Li, Y. Yuan, Accuracy of testing for anti-Helicobacter pylori IgG in urine forH. pylori infection diagnosis: A systematic review and meta-analysis. BMJ Open 7, e013248 (2017).
S. Asfaram, S. Hosseini Teshnizi, M. Fakhar, E. S. Banimostafavi, M. Soosaraei, Is urine a reliable clinical sample for the diagnosis of human visceral leishmaniasis? A systematic review and meta-analysis. Parasitol. Int. 67, 575–583 (2018).
Bagno, F.F.; Andrade, L.A.F.; Sérgio, S.A.R.; Parise, P.L.; Toledo-Teixeira, D.A.; Gazzinelli, R.T.; Fernandes, A.P.S.M.; Teixeira, S.M.R.; Granja, F.; Proença-Módena, J.L.; da Fonseca, F.G. Previous Infection with SARS-CoV-2 Correlates with Increased Protective Humoral Responses after a Single Dose of an Inactivated COVID-19 Vaccine. Viruses 2022, 14, 510. https://doi.org/10.3390/v14030510
García-Montero, C.; Fraile-Martínez, O.; Bravo, C.; Torres-Carranza, D.; Sanchez-Trujillo, L.; Gómez-Lahoz, A.M.; Guijarro, L.G.; García-Honduvilla, N.; Asúnsolo, A.; Bujan, J.; et al. An Updated Review of SARS-CoV-2 Vaccines and the Importance of Effective Vaccination Programs in Pandemic Times. Vaccines 2021, 9, 433. [Google Scholar] [CrossRef]
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