Evidence map›Paper›PMID 35577837›Full record

ArticleScientific reports2022

SARS-CoV-2 in silico binding affinity to human leukocyte antigen (HLA) Class II molecules predicts vaccine effectiveness across variants of concern (VOC).

Spyros A Charonis, Lisa M James, Apostolos P Georgopoulos

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 12 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

3 authors at 1 institution in 1 country.

Spyros A CharonisThe HLA SARS-CoV-2 Research Group, Department of Veterans Affairs Health Care System, Brain Sciences Center (11B), Minneapolis VAHCS, One Veterans Drive, Minneapolis, MN, 55417, USA.
Lisa M JamesThe HLA SARS-CoV-2 Research Group, Department of Veterans Affairs Health Care System, Brain Sciences Center (11B), Minneapolis VAHCS, One Veterans Drive, Minneapolis, MN, 55417, USA.
Apostolos P GeorgopoulosThe HLA SARS-CoV-2 Research Group, Department of Veterans Affairs Health Care System, Brain Sciences Center (11B), Minneapolis VAHCS, One Veterans Drive, Minneapolis, MN, 55417, USA. omega@umn.edu.
Minneapolis VA Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is widespread concern about the clinical effectiveness of current vaccines in preventing Covid-19 caused by SARS-CoV-2 Variants of Concern (Williams in Lancet Respir Med 29:333-335, 2021; Hayawi in Vaccines 9:1305, 2021), including those identified at present (Alpha, Beta, Gamma, Delta, Omicron) and possibly new ones arising in the future. It would be valuable to be able to predict vaccine effectiveness for any variant. Here we offer such an estimate of predicted vaccine effectiveness for any SARS-CoV-2 variant based on the amount of overlap of in silico high binding affinity of the variant and Wildtype spike glycoproteins to a pool of frequent Human Leukocyte Antigen Class II molecules which are necessary for initiating antibody production (Blum et al. in Annu Rev Immunol 31:443-473, 2013). The predictive model was strong (r = 0.910) and statistically significant (P = 0.013).

Indexed as

COVID-19VaccinesHLA AntigensHumansSARS-CoV-2Spike Glycoprotein, CoronavirusVaccine EfficacyHLA AntigensSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccines

Identifiers

PMID35577837
PMCPMC9109665
OpenAlexW4280529143

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.