SARS-CoV-2 Antibody Responses Do Not Predict COVID-19 Disease Severity. Issue 4 (15th July 2020)
- Record Type:
- Journal Article
- Title:
- SARS-CoV-2 Antibody Responses Do Not Predict COVID-19 Disease Severity. Issue 4 (15th July 2020)
- Main Title:
- SARS-CoV-2 Antibody Responses Do Not Predict COVID-19 Disease Severity
- Authors:
- Phipps, William S
SoRelle, Jeffrey A
Li, Quan-Zhen
Mahimainathan, Lenin
Araj, Ellen
Markantonis, John
Lacelle, Chantale
Balani, Jyoti
Parikh, Hiren
Solow, E Blair
Karp, David R
Sarode, Ravi
Muthukumar, Alagarraju - Abstract:
- Abstract: Objectives: Initial reports indicate adequate performance of some serology-based severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) assays. However, additional studies are required to facilitate interpretation of results, including how antibody levels impact immunity and disease course. Methods: A total of 967 subjects were tested for IgG antibodies reactive to SARS-CoV-2, including 172 suspected cases of SARS-CoV-2, 656 plasma samples from healthy donors, 49 sera from patients with rheumatic disease, and 90 specimens from individuals positive for polymerase chain reaction (PCR)–based respiratory viral panel. A subgroup of SARS-CoV-2 PCR-positive cases was tested for IgM antibodies by proteome array method. Results: All specificity and cross-reactivity specimens were negative for SARS-CoV-2 IgG antibodies (0/795, 0%). Positive agreement of IgG with PCR was 83% of samples confirmed to be more than 14 days from symptom onset, with less than 100% sensitivity attributable to a case with severe immunosuppression. Virus-specific IgM was positive in a higher proportion of cases less than 3 days from symptom onset. No association was observed between mild and severe disease course with respect to IgG and IgM levels. Conclusions: The studied SARS-CoV-2 IgG assay had 100% specificity and no adverse cross-reactivity. Measures of IgG and IgM antibodies did not predict disease severity in our patient population.
- Is Part Of:
- American journal of clinical pathology. Volume 154:Issue 4(2020)
- Journal:
- American journal of clinical pathology
- Issue:
- Volume 154:Issue 4(2020)
- Issue Display:
- Volume 154, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 154
- Issue:
- 4
- Issue Sort Value:
- 2020-0154-0004-0000
- Page Start:
- 459
- Page End:
- 465
- Publication Date:
- 2020-07-15
- Subjects:
- Microbiology -- Immunology -- Global health -- SARS-CoV-2 -- COVID-19 -- Coronavirus
Diagnosis, Laboratory -- Periodicals
Pathology -- Periodicals
616.07 - Journal URLs:
- http://www.oxfordjournals.org/ ↗
http://ajcp.oxfordjournals.org/ ↗ - DOI:
- 10.1093/ajcp/aqaa123 ↗
- Languages:
- English
- ISSNs:
- 0002-9173
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0824.000000
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