Evidence map›Paper›PMID 38399953›Full record

ReviewViruses2024

Causes and Consequences of Coronavirus Spike Protein Variability.

Fabian Zech, Christoph Jung, Timo Jacob, Frank Kirchhoff

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2024. 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, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Fabian ZechInstitute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany.
Christoph JungInstitute of Electrochemistry, Ulm University, 89081 Ulm, Germany.
Timo JacobInstitute of Electrochemistry, Ulm University, 89081 Ulm, Germany.ORCID 0000-0001-7777-2306
Frank KirchhoffInstitute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany.ORCID 0000-0002-7052-2360
Karlsruhe Institute of Technology · DEUniversität Ulm · DE

Funding

Deutsche Forschungsgemeinschaft CRC 1279
6 · The paper itself

Abstract

Coronaviruses are a large family of enveloped RNA viruses found in numerous animal species. They are well known for their ability to cross species barriers and have been transmitted from bats or intermediate hosts to humans on several occasions. Four of the seven human coronaviruses (hCoVs) are responsible for approximately 20% of common colds (hCoV-229E, -NL63, -OC43, -HKU1). Two others (SARS-CoV-1 and MERS-CoV) cause severe and frequently lethal respiratory syndromes but have only spread to very limited extents in the human population. In contrast the most recent human hCoV, SARS-CoV-2, while exhibiting intermediate pathogenicity, has a profound impact on public health due to its enormous spread. In this review, we discuss which initial features of the SARS-CoV-2 Spike protein and subsequent adaptations to the new human host may have helped this pathogen to cause the COVID-19 pandemic. Our focus is on host forces driving changes in the Spike protein and their consequences for virus infectivity, pathogenicity, immune evasion and resistance to preventive or therapeutic agents. In addition, we briefly address the significance and perspectives of broad-spectrum therapeutics and vaccines.

Indexed as

Coronavirus 229E, HumanCOVID-19AnimalsHumansPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2immune evasionmanifestationmutationSarbecovirusesSARS-CoV-2Spikezoonoses

Identifiers

PMID38399953
PMCPMC10892391
OpenAlexW4391225307

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.