Evidence map›Paper›PMID 35169815›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Differential antibody production by symptomatology in SARS-CoV-2 convalescent individuals.

Sharada Saraf, Xianming Zhu, Ruchee Shrestha, Tania S Bonny, Owen R Baker, Evan J Beck, Reinaldo E Fernandez, Yolanda Eby, Olivia Akinde, Jessica E Ruff and 6 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Sharada SarafDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Xianming ZhuDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Ruchee ShresthaDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Tania S BonnyDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Owen R BakerDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Evan J BeckDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Reinaldo E FernandezDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Yolanda EbyDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Olivia AkindeDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Jessica E RuffDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Patrizio CaturegliDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Andrew D ReddDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Evan M BlochDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Thomas C QuinnDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Aaron Ar TobianDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Oliver LaeyendeckerDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Johns Hopkins University · USNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between COVID-19 symptoms and antibody responses against SARS-CoV-2 is poorly characterized. We analyzed antibody levels in individuals with known SARS-CoV-2 infection to identify potential antibody-symptom associations. Convalescent plasma from 216 SARS-CoV-2 RNA+ individuals with symptomatology information were tested for the presence of IgG to the spike S1 subunit (Euroimmun ELISA), IgG to receptor binding domain (RBD, CoronaCHEK rapid test), and for IgG, IgA, and IgM to nucleocapsid (N, Bio-Rad ELISA). Logistic regression was used to estimate the odds of having a COVID-19 symptom from the antibody response, adjusting for sex and age. Cough strongly associated with antibodies against S1 (adjusted odds ratio [aOR]= 5.33; 95% CI from 1.51 to 18.86) and RBD (aOR=4.36; CI 1.49, 12.78). In contrast, sore throat significantly associated with the absence of antibodies to S1 and N (aOR=0.25; CI 0.08, 0.80 and aOR=0.31; 0.11, 0.91). Similarly, lack of symptoms associated with the absence of antibodies to N and RBD (aOR=0.16; CI 0.03, 0.97 and aOR=0.16; CI 0.03, 1.01). Cough appeared to be correlated with a seropositive result, suggesting that SARS-CoV-2 infected individuals exhibiting lower respiratory symptoms generate a robust antibody response. Conversely, those without symptoms or limited to a sore throat while infected with SARS-CoV-2 were likely to lack a detectable antibody response. These findings strongly support the notion that severity of infection correlates with robust antibody response.

Identifiers

PMID35169815
PMCPMC8845513
OpenAlexW4211099502

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.