| Literature DB >> 33827460 |
Jyotsna Shah1,2, Song Liu3, Hari-Hara Potula3, Prerna Bhargava4, Iris Cruz4, Denise Force5, Ammar Bazerbashi5, Ranjan Ramasamy6.
Abstract
BACKGROUND: Rapid and simple serological assays for characterizing antibody responses are important in the current COVID-19 pandemic caused by SARS-CoV-2. Multiplex immunoblot (IB) assays termed COVID-19 IB assays were developed for detecting IgG and IgM antibodies to SARS-CoV-2 virus proteins in COVID-19 patients.Entities:
Keywords: COVID-19; Line immunoblot assay; Multiplex assay; Nucleocapsid protein; Receptor-binding domain; SARS-CoV-2; Serological diagnosis; Spike protein
Mesh:
Substances:
Year: 2021 PMID: 33827460 PMCID: PMC8025059 DOI: 10.1186/s12879-021-06031-9
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Reference sera used to establish the specificity of COVID-19 IBs
| Source | Characteristic | Number of sera |
|---|---|---|
| IGeneX (human sera) | Leftover, decoded, pre-pandemic sera received for tick-borne diseases testing | 152 |
| CAP and NYSHD Autoimmunity and Allergy (human sera) | Anti-nuclear antibody positive | 5 |
| Anti-dsDNA antibody positive | 2 | |
| Rheumatoid factor positive | 12 | |
| Rheumatoid factor negative | 7 | |
| Elevated IgG | 13 | |
| Elevated IgE | 4 | |
| Normal IgE | 2 | |
| NYB Viral Infections (human sera) | Epstein-Barr virus infection | 7 |
| Herpes simplex virus infection | 4 | |
| Cytomegalovirus infection | 4 | |
| Hepatitis C infection | 5 | |
| HIV infection | 7 | |
| NIH AIDS Reagent Program (human sera) | HIV infection | 3 |
| BEI Resources (human sera) | Respiratory syncytial virus infection | 4 |
| BEI Resources (goat antisera) | Goat antisera to human influenza A virus proteins | 27 |
| Goat antisera to human influenza B virus proteins | 5 |
CAP College of American Pathologists; NYB New York Biologics; NYSH New York State Department of Health; NIH National Institutes of Health; BEI Biodefense and Emerging Infections Research Resources Repository; ds double stranded
Fig. 1Photographs of COVID-19 IgG and IgM IBs with sera from the three patients (1,2 and 3) and positive (P) and negative (N) control human sera. The positive control (P) was a pool of sera from SARS-CoV-2 RT-qPCR positive patients that reacted with S1, S2, N and RBD proteins in both COVID-19 IgG and IgM IBs. The negative control (N) was pooled human sera from the pre-pandemic period and did not react with the four SARS-CoV-2 antigens. C1: purified IgG; C2: Protein L; C3: internal calibrator; C4: purified IgM. The positions of S1, S2, N and RBD proteins in the membrane strips are also shown
Temporal variation of overall IgG and IgM antibody positive responses in patient sera
| Days after positive RT-qPCR | Total number of sera tested | No. of sera with IgM antibodies | No. of sera with IgG antibodies | No. of sera with either IgM and/or IgG antibodies |
|---|---|---|---|---|
| 0–10 | 6 | 5 | 3 | 6 |
| 11–20 | 12 | 8 | 11 | 11 |
| 21–30 | 22 | 12 | 18 | 20 |
| 31–40 | 18 | 6 | 15 | 15 |
| 41–50 | 9 | 2 | 7 | 7 |
| 51–65 | 8 | 3 | 8 | 8 |
| 100–154 | 9 | 0 | 4 | 4 |
Fig. 2Graphs summarizing IgM and IgG antibody reactivity with the four antigens in IBs with patient sera obtained at different time intervals after a positive RT-qPCR test. The two graphs show the percentage of sera reacting with each of the four test antigens at different time intervals after the RT-qPCR test. The number of sera tested for each time interval are shown in parentheses in the abscissa. Reactivity with the four SARS-CoV-2 proteins are shown in different colors. The black bars show the percentage of sera scored as positive overall for IgM and IgG antibodies using the criteria described above
Estimated clinical diagnostic parameters of the COVID-19 IB assays
| Estimated | 95% Confidence Interval | ||
|---|---|---|---|
| Value | Lower Limit | Upper Limit | |
| | 0.7027 | 0.5283 | 0.8356 |
| | 0.9913 | 0.9657 | 0.9985 |
| | 0.9286 | 0.7504 | 0.9875 |
| | 0.9542 | 0.9172 | 0.9757 |
| | 0.9189 | 0.7698 | 0.9788 |
| | 0.9913 | 0.9657 | 0.9985 |
| | 0.9444 | 0.7999 | 0.9903 |
| | 0.9871 | 0.9596 | 0.9967 |
| | 0.9723 | 0.8419 | 0.9986 |
| | 0.9827 | 0.9533 | 0.9944 |
| | 0.9000 | 0.7540 | 0.9675 |
| | 0.9956 | 0.9720 | 0.9998 |
PPV positive predictive vale; NPV negative predictive value