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1.
Diabetes Metab Syndr ; 16(5): 102499, 2022 May.
Artículo en Inglés | MEDLINE | ID: covidwho-1821209

RESUMEN

BACKGROUND AND AIMS: The COVID-19 pandemic has prompted researchers to look for effective therapeutic targets. The effect of endocannabinoid system against infectious diseases is investigated for several years. In this study, we evaluated the expression level of CNR1 and CNR2 genes in patients with COVID-19 with and without diabetes to provide new insights regarding these receptors and their potential effect in COVID-19 disease. METHODS: In this study, peripheral blood monocytes cells (PBMCs) were isolated from eight different groups including COVID-19 patients, diabetic patients, and healthy individuals. RNA were extracted to evaluate the expression level of CNR1 and CNR2 genes using real-time PCR. The correlation between the expression levels of these genes in different groups were assessed. RESULTS: A total of 80 samples were divided into 8 groups, with each group consisting of ten samples. When comparing severe and moderate COVID-19 groups to healthy control group, the expression levels of the CNR1 and CNR2 genes were significantly higher in the severe and moderate COVID-19 groups. There were no significant differences between the mild COVID-19 group and the healthy control group. It was found that the expression levels of these genes in patients with diabetes who were infected with SARS-COV-2 did not differ across COVID-19 groups with varying severity, but they were significantly higher when compared to healthy controls. CONCLUSION: Our study suggests the possible role of endocannabinoid system during SARS-COV-2 pathogenicity as the expression of CNR1 and CNR2 were elevated during the disease.


Asunto(s)
COVID-19 , Diabetes Mellitus , Receptor Cannabinoide CB1 , Receptor Cannabinoide CB2 , COVID-19/sangre , COVID-19/genética , COVID-19/metabolismo , COVID-19/virología , Diabetes Mellitus/sangre , Diabetes Mellitus/genética , Diabetes Mellitus/metabolismo , Diabetes Mellitus/virología , Endocannabinoides/farmacología , Expresión Génica , Humanos , Pandemias , Receptor Cannabinoide CB1/biosíntesis , Receptor Cannabinoide CB1/genética , Receptor Cannabinoide CB2/biosíntesis , Receptor Cannabinoide CB2/genética , SARS-CoV-2
2.
Arch Virol ; 166(11): 3117-3126, 2021 Nov.
Artículo en Inglés | MEDLINE | ID: covidwho-1404655

RESUMEN

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.


Asunto(s)
COVID-19/genética , Predisposición Genética a la Enfermedad/genética , Receptor Cannabinoide CB2/genética , COVID-19/diagnóstico , Estudios de Casos y Controles , Femenino , Proteínas de Unión al GTP/metabolismo , Frecuencia de los Genes , Genotipo , Humanos , Irán , Masculino , Persona de Mediana Edad , Modelos Moleculares , Simulación del Acoplamiento Molecular , Polimorfismo Genético , Unión Proteica , Receptor Cannabinoide CB2/química , Receptor Cannabinoide CB2/metabolismo , SARS-CoV-2 , Índice de Severidad de la Enfermedad
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