Evidence map›Paper›PMID 38093128›Full record

ArticleDoklady. Biochemistry and biophysics2023

Immunocompetent Mice As a Model for Preclinical Studies of mRNA Vaccine Immunogenicity.

M Yu Shkurnikov, S A Tonevitskaya, E V Stepanova, S A Slobodov

Open access · hybridAbstract read
In one paragraph

Article in Doklady. Biochemistry and biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

M Yu ShkurnikovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia. mshkurnikov@hse.ru.
S A TonevitskayaFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.
E V StepanovaFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.
S A SlobodovFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.
National Research University Higher School of Economics · RUInstitute of Bioorganic Chemistry · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conducting preclinical studies of mRNA vaccines is complicated by the lack of relevant animal models of the human immune system. Immunocompetent mice are widely used in biomedical research. However, critical differences in the genetics and immune system of mice and humans prevent the study of unique human immune responses in mice. Within the framework of this work, the possibility of modeling the cytotoxic T-cell response to mRNA vaccines encoding the S-protein of the SARS-CoV-2 virus was investigated. High-affinity peptides from S-protein were analyzed for the most frequent allelic variants of human MHC-I, two immunocompetent mouse lines (C57BL/6, BALB/c) and an outbred mouse model of IRC. The results of computer modeling have shown that mouse models can be used in preclinical studies of mRNA vaccines against SARS-CoV-2. Mouse MHC-I is able to present virus peptides that are highly affine for human MHC-I. Moreover, the immunogenicity of some of them has already been confirmed by examining blood samples from patients who have had COVID-19.

Indexed as

COVID-19 VaccinesmRNA VaccinesAnimalsAntibodies, ViralDisease Models, AnimalHumansImmunogenicity, VaccineMiceMice, Inbred C57BLPeptidesRNA, MessengerSARS-CoV-2Antibodies, ViralCOVID-19 VaccinesmRNA VaccinesPeptidesRNA, MessengerCOVID-19HLAMHC-ImRNA vaccinesS-protein

Identifiers

PMID38093128
PMCPMC10719129
OpenAlexW4389664816

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.