Evidence map›Paper›PMID 36845120›Full record

ArticleFrontiers in immunology2023

Predictors for reactogenicity and humoral immunity to SARS-CoV-2 following infection and mRNA vaccination: A regularized, mixed-effects modelling approach.

Erin C Williams, Alexander Kizhner, Valerie S Stark, Aria Nawab, Daniel D Muniz, Felipe Echeverri Tribin, Juan Manuel Carreño, Dominika Bielak, Gagandeep Singh, Michael E Hoffer and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Erin C WilliamsDepartment of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL, United States.
Alexander KizhnerDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States.
Valerie S StarkDepartment of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL, United States.
Aria NawabDepartment of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL, United States.
Daniel D MunizDepartment of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL, United States.
Felipe Echeverri TribinDepartment of Biomedical Engineering, University of Miami, Miami, FL, United States.
Juan Manuel CarreñoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Dominika BielakDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Gagandeep SinghDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Michael E HofferDepartment of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL, United States.
Florian KrammerDepartment of Biomedical Engineering, University of Miami, Miami, FL, United States.
Suresh PallikkuthDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States.
Savita PahwaDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States.
University of Miami · USIcahn School of Medicine at Mount Sinai · US

Funding

COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTER: UNIVERSAL INFLUENZA VACCINE RESEARCH75N93019C00051 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRAMMER, FLORIAN · 2019 to 2025
$105.4M
University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GWENDOLYN Barbara SCOTT · 2007 to 2026
$33.8M
Immune Dysfunction in HIV+ Opioid UsersR01DA051202 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PAHWA, SAVITA · 2020 to 2025
$4.6M
NIAID NIH HHS 75N93019C00051NIAID NIH HHS P30 AI073961NIDA NIH HHS R01 DA051202
6 · The paper itself

Abstract

Introduction: The influence of pre-existing humoral immunity, inter-individual demographic factors, and vaccine-associated reactogenicity on immunogenicity following COVID vaccination remains poorly understood. Methods: Ten-fold cross-validated least absolute shrinkage and selection operator (LASSO) and linear mixed effects models were used to evaluate symptoms experienced by COVID+ participants during natural infection and following SARS-CoV-2 mRNA vaccination along with demographics as predictors for antibody (AB) responses to recombinant spike protein in a longitudinal cohort study. Results: In previously infected individuals (n=33), AB were more durable and robust following primary vaccination when compared to natural infection alone. Higher AB were associated with experiencing dyspnea during natural infection, as was the total number of symptoms reported during the COVID-19 disease course. Both local and systemic symptoms following 1 Discussion: Experiencing systemic and local symptoms post-vaccine was suggestive of higher AB, which may confer greater protection.

Indexed as

COVID-19Immunity, HumoralHumansLongitudinal StudiesRNA, MessengerSARS-CoV-2VaccinationRNA, MessengerCOVID-19infectionprotective antibodiesSARS-CoV-2vaccine reactogenicity

Identifiers

PMID36845120
PMCPMC9949966
OpenAlexW4319741939

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.