Evidence map›Paper›PMID 33907755›Full record

ArticlemedRxiv : the preprint server for health sciences2023

mRNA COVID-19 vaccine elicits potent adaptive immune response without the persistent inflammation seen in SARS-CoV-2 infection.

Ellie N Ivanova, Jasmine Shwetar, Joseph C Devlin, Terkild B Buus, Sophie Gray-Gaillard, Akiko Koide, Amber Cornelius, Marie I Samanovic, Alberto Herrera, Eleni P Mimitou and 11 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 17 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 3 institutions in 1 country.

Jasmine Shwetar
Sophie Gray-Gaillard
Amber Cornelius
Marie I Samanovic
Chenzhen Zhang
Trishala Karmacharya
Ludovic DesvignesORCID 0000-0001-6246-0828
Robert J Ulrich
New York University · USNYU Langone Health · USNYU Langone’s Laura and Isaac Perlmutter Cancer Center

Funding

Establishment of the New York University Vaccine and Treatment Evaluation Unit (NYU VTEU) - DMID 21-0012UM1AI148574 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Angelica Cifuentes Kottkamp, Anoma Nellore · 2020 to 2026
$23.9M
Mechanisms of Prophage-Mediated Virulence Driving Community-Acquired MRSA ContagionK08AI163457 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ULRICH, ROBERT JAMES · 2021 to 2025
$989k
Accurate prediction of neutralization capacity from deep mining of SARS-CoV-2 serologyR21AI158997 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KOIDE, SHOHEI · 2020 to 2020
$466k
NIAID NIH HHS K08 AI163457NIAID NIH HHS R21 AI158997NIAID NIH HHS UM1 AI148574
6 · The paper itself

Abstract

SARS-CoV-2 infection and vaccination elicit potent immune responses. Our study presents a comprehensive multimodal single-cell dataset of peripheral blood of patients with acute COVID-19 and of healthy volunteers before and after receiving the SARS-CoV-2 mRNA vaccine and booster. We compared host immune responses to the virus and vaccine using transcriptional profiling, coupled with B/T cell receptor repertoire reconstruction. COVID-19 patients displayed an enhanced interferon signature and cytotoxic gene upregulation, absent in vaccine recipients. These findings were validated in an independent dataset. Analysis of B and T cell repertoires revealed that, while the majority of clonal lymphocytes in COVID-19 patients were effector cells, clonal expansion was more evident among circulating memory cells in vaccine recipients. Furthermore, while clonal αβ T cell responses were observed in both COVID-19 patients and vaccine recipients, dramatic expansion of clonal γδT cells was found only in infected individuals. Our dataset enables comparative analyses of immune responses to infection versus vaccination, including clonal B and T cell responses. Integrating our data with publicly available datasets allowed us to validate our findings in larger cohorts. To our knowledge, this is the first dataset to include comprehensive profiling of longitudinal samples from healthy volunteers pre/post SARS-CoV-2 vaccine and booster.

Identifiers

PMID33907755
PMCPMC8077568
OpenAlexW3156246043

What OpenQuestion holds

Textmetadata
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.