Evidence map›Paper›PMID 38620818›Full record

ArticleMethods in microbiology2022

The seasonal behaviour of COVID-19 and its galectin-like culprit of the viral spike.

Kelsey Caetano-Anollés, Nicolas Hernandez, Fizza Mughal, Tre Tomaszewski, Gustavo Caetano-Anollés

Open access · greenAbstract read
In one paragraph

Article in Methods in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
14.4field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Structural proteins of human coronaviruses: what makes them different?Frontiers in cellular and infection microbiology · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

5 authors at 1 institution in 1 country.

Kelsey Caetano-AnollésCallout Biotech, Albuquerque, NM, United States.
Nicolas HernandezEvolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois, Urbana, IL, United States.
Fizza MughalEvolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois, Urbana, IL, United States.
Tre TomaszewskiEvolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois, Urbana, IL, United States.
Gustavo Caetano-AnollésEvolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois, Urbana, IL, United States.
University of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal behaviour is an attribute of many viral diseases. Like other 'winter' RNA viruses, infections caused by the causative agent of COVID-19, SARS-CoV-2, appear to exhibit significant seasonal changes. Here we discuss the seasonal behaviour of COVID-19, emerging viral phenotypes, viral evolution, and how the mutational landscape of the virus affects the seasonal attributes of the disease. We propose that the multiple seasonal drivers behind infectious disease spread (and the spread of COVID-19 specifically) are in 'trade-off' relationships and can be better described within a framework of a 'triangle of viral persistence' modulated by the environment, physiology, and behaviour. This 'trade-off' exists as one trait cannot increase without a decrease in another. We also propose that molecular components of the virus can act as sensors of environment and physiology, and could represent molecular culprits of seasonality. We searched for flexible protein structures capable of being modulated by the environment and identified a galectin-like fold within the N-terminal domain of the spike protein of SARS-CoV-2 as a potential candidate. Tracking the prevalence of mutations in this structure resulted in the identification of a hemisphere-dependent seasonal pattern driven by mutational bursts. We propose that the galectin-like structure is a frequent target of mutations because it helps the virus evade or modulate the physiological responses of the host to further its spread and survival. The flexible regions of the N-terminal domain should now become a focus for mitigation through vaccines and therapeutics and for prediction and informed public health decision making.

Indexed as

Epidemic calendarMutationN-terminal domainProteomeSARS-CoV-2SeasonalityVariants

Identifiers

PMID38620818
PMCPMC8590929
OpenAlexW3213930598

What Socratic 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 Socratic graph.