COVID-SeroIndex, Kantaro SARS-COV-2 IgG Antibody RUO Kit
COVID-SeroIndex, Kantaro SARS-COV-2 IgG Antibody RUO Kit Summary
Sample Type & Volume Required Per Well | Serum (10 uL), EDTA Plasma (10 uL), Heparin Plasma (10 uL) |
---|---|
Sensitivity | 3.2 AU/mL |
Assay Range | 3.2 - 160 AU/mL (Serum, EDTA Plasma, Heparin Plasma) |
Specificity | Natural and recombinant human anti-SARS-CoV-2 IgG |
Cross-reactivity | < 0.5% cross-reactivity observed with available related molecules.< 50% cross-species reactivity observed with species tested. |
Interference | No significant interference observed with available related molecules. |
Product Summary
COVID-SeroIndex is a 2-phase ELISA optimized for accurate detection of SARS-CoV-2 IgG antibodies, present in human plasma or serum samples. Validation studies have demonstrated a specificity of 99.8% and a sensitivity of 97.8%. Sufficient reagents are provided to test 360 samples per kit.Phase 1 is a qualitative ELISA in which negative samples are eliminated from further analysis. Phase 2 is a quantitative ELISA confirming positive samples and providing an antibody titer for SARS-CoV-2 IgG antibodies present in the sample.
Precision
Intra-Assay Precision (Precision within an assay)
Three samples of known concentration were tested on one plate to assess intra-assay precision.
Inter-Assay Precision (Precision between assays)
Three samples of known concentration were tested in separate assays to assess inter-assay precision.
RBD ELISA
Intra-Assay Precision | Inter-Assay Precision | |||||
---|---|---|---|---|---|---|
Sample | 1 | 2 | 3 | 1 | 2 | 3 |
n | 3 | 3 | 3 | 18 | 18 | 18 |
Mean (CI) | 0.565 | 0.914 | 1.58 | 0.616 | 0.862 | 1.53 |
Standard Deviation | 0.029 | 0.011 | 0.020 | 0.047 | 0.039 | 0.123 |
CV (%) | 5.1 | 1.2 | 1.3 | 7.6 | 4.5 | 8.0 |
Spike ELISA
Intra-Assay Precision | Inter-Assay Precision | |||||
---|---|---|---|---|---|---|
Sample | 1 | 2 | 3 | 1 | 2 | 3 |
n | 3 | 3 | 3 | 18 | 18 | 18 |
Mean (AU/mL)* | 3.44 | 57.2 | 109 | 3.47 | 58.5 | 109 |
Standard Deviation | 0.080 | 3.03 | 7.49 | 0.093 | 5.09 | 12.7 |
CV (%) | 2.3 | 5.3 | 6.9 | 2.7 | 8.7 | 11.7 |
Linearity
Linearity was demonstrated according to recommendations in CLSI guideline EP06-A. Three individual samples were proportionally diluted with blank serum samples. The blank serum samples used to make the dilutions were preCOVID-19 samples collected prior to September 2019.
The linear range is 3.1–160 AU/mL and the Analytical Measuring Range (AMR) is 3.2-161 AU/mL.
Sample | # Dilution Levels in the Linear Range |
Linear Range (AU/mL) | Regression Equation | Correlation Coefficient (R2) |
---|---|---|---|---|
1 | 10 | 4.16-161 | AU/mL = 0.00819 + 226.9 x (Dilution Factor) | 0.98 |
2 | 10 | 8.19-145 | AU/mL = 4.228 + 245.6 x (Dilution Factor) | 0.99 |
3 | 9 | 3.08-75.1 | AU/mL = 0.215 + 173.7 x (Dilution Factor) | 0.98 |
Background: SARS-CoV-2
COVID-SeroIndex is a 2-phase ELISA optimized for accurate detection of SARS-CoV-2 IgG antibodies, present in human plasma or serum samples. Validation studies have demonstrated a specificity of 99.8% and a sensitivity of 97.8%. Sufficient reagents are provided to test 360 samples per kit.Phase 1 is a qualitative ELISA in which negative samples are eliminated from further analysis. Phase 2 is a quantitative ELISA confirming positive samples and providing an antibody titer for SARS-CoV-2 IgG antibodies present in the sample.
Specifications
Product Datasheets
Scientific Data
COVID-SeroIndex, Kantaro Quantitative SARS-CoV-2 IgG Antibody RUO Kit Standard Curve
COVID-SeroIndex correlation of quantitative Spike IgG antibodies to viral neutralization. A study was conducted to correlate the quantitative levels of anti-Spike protein IgG antibodiesto viral neutralization in a microneutralization (MN) assay. 120 patient samples with levels ofantibodies across the AMR of the assay were evaluated in a MN assay. V Information on the format and interpretation of the MNassay can be found in the following reference: Amanat, F., et. al., “A Serological Assay to DetectSARS-CoV-2 Seroconversion in Humans”; Nature Medicine. 2020 May 12. PMID: 32398876.
COVID-SeroIndex Detection Antibody Class Specificity Class specificity of the monoclonal detection antibody was evaluated in an antigen-downELISA study. Ten antigens, including seven different human IgG samples, were diluted to25 ng/mL or 100 ng/mL (not shown) and coated on a plate. A dilution series of the monoclonaldetection antibody was incubated on the plate prior to detection. Summary data indicates thatthe monoclonal detection antibody detects human IgG isotypes and has minimal detection ofhuman IgA or IgM that approaches level of the blank with titration.
Background: Spike RBD
SARS-CoV-2, which causes the global pandemic coronavirus disease 2019 (Covid-19), belongs to a family of viruses known as coronaviruses that are commonly comprised of four structural proteins: Spike protein(S), Envelope protein (E), Membrane protein (M), and Nucleocapsid protein (N) (1). SARS-CoV-2 Spike Protein (S Protein) is a glycoprotein that mediates membrane fusion and viral entry. The S protein is homotrimeric, with each ~180-kDa monomer consisting of two subunits, S1 and S2 (2). In SARS-CoV-2, as with most coronaviruses, proteolytic cleavage of the S protein into two distinct peptides, S1 and S2 subunits, is required for activation. The S1 subunit is focused on attachment of the protein to the host receptor while the S2 subunit is involved with cell fusion (3-5). Based on structural biology studies, the receptor binding domain (RBD), located in the C-terminal region of S1, can be oriented either in the up/standing or down/lying state (6). The standing state is associated with higher pathogenicity and both SARS-CoV-1 and MERS can access this state due to the flexibility in their respective RBDs. A similar two-state structure and flexibility is found in the SARS-CoV-2 RBD (7). Based on amino acid (aa) sequence homology, the SARS-CoV-2 S1 subunit RBD has 73% identity with the RBD of the SARS-CoV-1 S1 RBD, but only 22% homology with the MERS S1 RBD. The low aa sequence homology is consistent with the finding that SARS and MERS bind different cellular receptors (8). The S Protein of the SARS-CoV-2 virus, like the SARS-CoV-1 counterpart, binds Angiotensin-Converting Enzyme 2 (ACE2), but with much higher affinity and faster binding kinetics (9). Before binding to the ACE2 receptor, structural analysis of the S1 trimer shows that only one of the three RBD domains in the trimeric structure is in the "up" conformation. This is an unstable and transient state that passes between trimeric subunits but is nevertheless an exposed state to be targeted for neutralizing antibody therapy (10). Polyclonal antibodies to the RBD of the SARS-CoV-2 protein have been shown to inhibit interaction with the ACE2 receptor, confirming RBD as an attractive target for vaccinations or antiviral therapy (11). There is also promising work showing that the RBD may be used to detect presence of neutralizing antibodies present in a patient's bloodstream, consistent with developed immunity after exposure to the SARS-CoV-2 virus (12). Lastly, it has been demonstrated the S Protein can invade host cells through the CD147/EMMPRIN receptor and mediate membrane fusion (13, 14).
Citations for COVID-SeroIndex, Kantaro SARS-COV-2 IgG Antibody RUO Kit
R&D Systems personnel manually curate a database that contains references using R&D Systems products. The data collected includes not only links to publications in PubMed, but also provides information about sample types, species, and experimental conditions.
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Patterns of neutralizing humoral response to SARS-CoV-2 infection among hematologic malignancy patients reveal a robust immune response in anti-cancer therapy-naive patients
Authors: C Borgogna, R Bruna, G Griffante, L Martuscell, M De Andrea, D Ferrante, A Patriarca, AM Mahmoud, V Gaidano, M Marchetti, D Rapezzi, M Lai, M Pistello, M Ladetto, M Massaia, G Gaidano, M Gariglio
Blood Cancer Journal, 2022;12(1):8. 2022
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Persistence of Neutralizing Antibodies to SARS-CoV-2 in First Wave Infected Individuals at Ten Months Post-Infection: The UnIRSA Cohort Study
Authors: G Griffante, S Chandel, D Ferrante, V Caneparo, D Capello, V Bettio, C Borgogna, C Aleni, S Esposito, A Sarro, A Vasile, M Comba, T Testa, G Cotrupi, M De Andrea, S Bortoluzzi, M Gariglio
Viruses, 2021;13(11):. 2021
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