| Literature DB >> 32984615 |
Hidetsugu Fujigaki1, Masao Takemura1, Michiko Osawa2, Aki Sakurai3, Kentaro Nakamoto1, Koichi Seto4, Takashi Fujita2, Tadayoshi Hata2, Hidehiko Akiyama5, Yohei Doi3, Kuniaki Saito1.
Abstract
BACKGROUND: Several immunochromatographic serological test kits have been developed to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibodies, but their relative performance and potential clinical utility is unclear.Entities:
Keywords: Antibody; COVID-19; Diagnostics; Immunochromatography; Immunology; Infectious disease; Laboratory medicine; SARS-CoV-2; Virology
Year: 2020 PMID: 32984615 PMCID: PMC7495099 DOI: 10.1016/j.heliyon.2020.e04929
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Specificity of anti-SARS-CoV-2 IgM and IgG antibodies of three immunochromatographic kits.
| IgM | IgG | |||||
|---|---|---|---|---|---|---|
| No. of samples | No. of positive samples | Specificity (%) | No. of samples | No. of positive samples | Specificity (%) | |
| Hangzhou AllTest | 100 | 2 | 98.0 | 100 | 1 | 99.0 |
| SD BIOSENSOR | 100 | 2 | 98.0 | 100 | 1 | 99.0 |
| Vazyme | 100 | 3 | 97.0 | 100 | 1 | 99.0 |
Serum samples from healthy donors collected between June 2017 and August 2017 were tested as a negative control.
Positive rate of anti-SARS-CoV-2 IgM antibody according to the different kits used.
| IgM antibody | |||||||
|---|---|---|---|---|---|---|---|
| Days after onset | No. of samples | Hangzhou AllTest | SD BIOSENSOR | Vazyme | |||
| No. of positive samples | Positive rate (%) | No. of positive samples | Positive rate (%) | No. of positive samples | Positive rate (%) | ||
| 0–4 | 11 | 2 | 18.2 | 2 | 18.2 | 2 | 18.2 |
| 5–9 | 26 | 5 | 19.2 | 9 | 34.6 | 3 | 11.5 |
| 10–14 | 29 | 7 | 24.1 | 21 | 72.4 | 5 | 17.2 |
| 15–19 | 24 | 4 | 16.7 | 21 | 87.5 | 5 | 20.8 |
| 20–35 | 9 | 3 | 33.3 | 7 | 77.8 | 0 | 0.0 |
Positive rate of anti-SARS-CoV-2 IgG antibody according to the different kits used.
| IgG antibody | |||||||
|---|---|---|---|---|---|---|---|
| Days after onset | No. of samples | Hangzhou AllTest | SD BIOSENSOR | Vazyme | |||
| No. of positive samples | Positive rate (%) | No. of positive samples | Positive rate (%) | No. of positive samples | Positive rate (%) | ||
| 0–4 | 11 | 3 | 27.3 | 3 | 27.3 | 3 | 27.3 |
| 5–9 | 26 | 11 | 42.3 | 11 | 42.3 | 10 | 38.5 |
| 10–14 | 29 | 24 | 82.8 | 23 | 79.3 | 22 | 75.9 |
| 15–19 | 24 | 24 | 100.0 | 23 | 95.8 | 23 | 95.8 |
| 20–35 | 9 | 9 | 100.0 | 9 | 100.0 | 9 | 100.0 |
| After 13 | 42 | 42 | 100.0 | 41 | 97.6 | 41 | 97.6 |
| Total | 99 | 71 | 71.7 | 69 | 69.7 | 67 | 67.7 |
The positive rate of both IgM and IgG antibody was the same as the positive rate of the IgG antibody.
Figure 1Kinetics of anti-SARS-CoV-2 IgM antibody of serum samples from 29 COVID-19 patients. The positive or negative result of the antibody in each serum sample is expressed as + or −, respectively. A, Hangzhou AllTest; B, SD BIOSENSOR; C, Vazyme.
Figure 2Kinetics of anti-SARS-CoV-2 IgG antibody of serum samples from 29 COVID-19 patients. The positive or negative result of the antibody in each serum sample is expressed as + or −, respectively. A, Hangzhou AllTest; B, SD BIOSENSOR; C, Vazyme.