Evidence map›Paper›PMID 34514519›Full record

ArticleArchives of virology2021

Functional variation (Q63R) in the cannabinoid CB2 receptor may affect the severity of COVID-19: a human study and molecular docking.

Mostafa Rastegar, Saeed Samadizadeh, Mohammad Yasaghi, Abdolvahab Moradi, Alijan Tabarraei, Vahid Salimi, Alireza Tahamtan

Open access · bronzeAbstract read
In one paragraph

Article in Archives of virology, 2021. 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
1.6field-weighted citation impact, top 17% 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.

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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

7 authors at 2 institutions in 1 country.

Mostafa RastegarDepartment of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Saeed SamadizadehDepartment of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Mohammad YasaghiDepartment of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Abdolvahab MoradiDepartment of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Alijan TabarraeiDepartment of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Vahid SalimiDepartment of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Alireza TahamtanDepartment of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran. Dr.tahamtan@goums.ac.ir.ORCID http://orcid.org/0000-0001-7680-5698
Golestan University · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence supports a role of host genetic diversity in the clinical course of coronavirus disease 2019 (COVID-19). Variation in the cannabinoid CB2 receptor gene (CNR2) could affect the regulatory action of endocannabinoids on the immune system, resulting in an increased risk of various inflammatory diseases. The present study investigated the relationship between the CNR2-Q63R variant and COVID-19 severity. A total of 200 Iranian COVID-19 patients were enrolled in the study and genotyped using a TaqMan assay. The co-dominant, dominant, recessive, over-dominant, and additive inheritance models were analyzed using SNPStats software. In silico molecular docking was also performed to simulate the effects of the Q63R variation on CB2 binding with a ligand and with the G-protein. A significant difference in the Q63R allele and genotype distribution was found between expired and discharged COVID-19 patients in co-dominant, recessive, and additive inheritance models. The molecular docking results showed that the predicted structure of mutant CB2 (63R type) could not bind to the G-protein in the correct position. The data indicated that the Q63R variation in the CNR2 gene may affect the severity of COVID-19. Identification of genes related to susceptibility and severity of COVID-19 may lead to specific targets for drug repurposing or development.

Indexed as

Case-Control StudiesCOVID-19FemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeGTP-Binding ProteinsHumansIranMaleMiddle AgedModels, MolecularMolecular Docking SimulationPolymorphism, GeneticProtein BindingReceptor, Cannabinoid, CB2CNR2 protein, humanGTP-Binding ProteinsReceptor, Cannabinoid, CB2

Identifiers

PMID34514519
PMCPMC8435402
OpenAlexW3201519947

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Registered trials

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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.