Evidence map›Paper›PMID 40650276›Full record

ReviewInternational journal of molecular sciences2025

NK Cells: A Powerful Squad Versus SARS-CoV-2.

Diana Lorena Alvarado-Hernández, Marlen Vitales Noyola, Ricardo Martínez-Rider, Sofía Bernal-Silva, Andreu Comas-Garcia

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
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.

Diana Lorena Alvarado-HernándezLaboratory of Chemistry, Physics and Math Department, Autonomous University of San Luis Potosí, San Luis Potosí 78210, Mexico.ORCID 0000-0001-5986-0011
Marlen Vitales NoyolaEndodontics Postgraduate Program, Faculty of Dentistry, Autonomous University of San Luis Potosí, San Luis Potosí 78210, Mexico.ORCID 0000-0002-1659-7476
Ricardo Martínez-RiderOral and Maxillofacial Surgery Specialty, Faculty of Dentistry, Autonomous University of San Luis Potosí, San Luis Potosi 78210, Mexico.
Sofía Bernal-SilvaDepartment of Microbiology, School of Medicine, Autonomous University of San Luis Potosí, San Luis Potosí 78210, Mexico.ORCID 0000-0002-6032-3982
Andreu Comas-GarciaSchool of Medicine, Universidad Cuauhtémoc San Luis Potosí, San Luis Potosí 78290, Mexico.ORCID 0000-0002-2368-1529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The function of NK cells in cancer and viral infections is well documented and understood. NK cell activity, including cytokine secretion, cytotoxic activity, and the coordination of inhibitory and activating receptors, linking innate and adaptive immunity, among others, has been examined for numerous pathogens, including parasites, bacteria, and viruses. The emergence of the SARS-CoV-2 health crisis has exposed a deficiency in understanding the previously elucidated mechanisms; the rationale for the reported variability in symptomatology among COVID-19 patients is extensive and intricate. It is evident that NK cells exert a significant influence on symptom severity, and their absence, with the presence or absence of their surface receptors, elicits a tailored response to the virus. This overview examines the impact of NK cells on the progression of several viral diseases, emphasizing their involvement in the pathogenesis of SARS-CoV-2 via the activation of surface receptors.

Indexed as

COVID-19Killer Cells, NaturalSARS-CoV-2AnimalsHumansImmunity, InnateKIRlectin-typeNK cellsreceptorsSARS-CoV-2

Identifiers

PMID40650276
PMCPMC12249530

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.