Karine Mayilyan

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About Karine Mayilyan:

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SEEK ID: https://armlifebank.am/people/16

Location: Armenia

ORCID: Not specified

Joined: 11th Feb 2025

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Genes, Environment and Chronic Diseases

This program is designed to encapsulate and facilitate research projects focusing on the intricate dynamics between genetic predispositions and environmental factors in the progression of chronic diseases, excluding cancer. This initiative aims to unravel the molecular mechanisms and pathways that underlie these diseases, thereby paving the way for targeted interventions and therapies.

Projects: Mental disorders and aging brain, Omics-Based Insights into Human Long-Term Exposure to Environmental Metals, Deciphering the Fine-Scaled Temporal Changes in Microbiome Communities Following Antibiotic Exposure, Telomere-related biomarkers of disease in liquid biopsies, COVID-19, Molecular epidemiology of multi-drug resistance

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Mental disorders and aging brain

This project focuses on studies around brain disorders and ageing.

Programme: Genes, Environment and Chronic Diseases

Public web page: Not specified

Organisms: Human

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Institute of Molecular Biology NAS RA

Country: Armenia

City: Yerevan

Web page: https://molbiol.sci.am

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Temporal changes of gene expression in health, schizophrenia, bipolar disorder, and major depressive disorder

Mental disorders and aging brain

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Abstract (Expand)

The molecular events underlying the development, manifestation, and course of schizophrenia, bipolar disorder, and major depressive disorder span from embryonic life to advanced age. However, little …

Authors: Arsen Arakelyan, Susanna Avagyan, Aleksey Kurnosov, Tigran Mkrtchyan, Gohar Mkrtchyan, Roksana Zakharyan, Karine R. Mayilyan, Hans Binder

Date Published: 17th Feb 2024

Publication Type: Journal

DOI: 10.1038/s41537-024-00443-7

Citation: Schizophrenia,10(1)

Created: 19th Aug 2025 at 10:23

HLA-C*04:01 Affects HLA Class I Heterozygosity and Predicted Affinity to SARS-CoV-2 Peptides, and in Combination With Age and Sex of Armenian Patients Contributes to COVID-19 Severity

COVID-19

Abstract (Expand)

The novel SARS-CoV-2 coronavirus infection has become a global health concern, causing the COVID-19 pandemic. The disease symptoms and outcomes depend on the host immunity, in which the human leukocyte … antigen (HLA) molecules play a distinct role. The HLA alleles have an inter-population variability, and understanding their link to the COVID-19 in an ethnically distinct population may contribute to personalized medicine. The present study aimed at detecting associations between common HLA alleles and COVID-19 susceptibility and severity in Armenians. In 299 COVID-19 patients (75 asymptomatic, 102 mild/moderate, 122 severe), the association between disease severity and classic HLA-I and II loci was examined. We found that the advanced age, male sex of patients, and sex and age interaction significantly contributed to the severity of the disease. We observed that an age-dependent effect of HLA-B*51:01 carriage [odds ratio (OR)=0.48 (0.28-0.80), Pbonf <0.036] is protective against severe COVID-19. Contrary, the HLA-C*04:01 allele, in a dose-dependent manner, was associated with a significant increase in the disease severity [OR (95% CI) =1.73 (1.20-2.49), Pbonf <0.021] and an advancing age (P<0.013). The link between HLA-C*04:01 and age was secondary to a stronger association between HLA-C*04:01 and disease severity. However, HLA-C*04:01 exerted a sex-dependent differential distribution between clinical subgroups [females: P<0.0012; males: P=0.48]. The comparison of HLA-C*04:01 frequency between subgroups and 2,781 Armenian controls revealed a significant incidence of HLA-C*04:01 deficiency in asymptomatic COVID-19. HLA-C*04:01 homozygous genotype in patients blueprinted a decrease in heterozygosity of HLA-B and HLA class-I loci. In HLA-C*04:01 carriers, these changes translated to the SARS-CoV-2 peptide presentation predicted inefficacy by HLA-C and HLA class-I molecules, simultaneously enhancing the appropriate HLA-B potency. In patients with clinical manifestation, due to the high prevalence of HLA-C*04:01, these effects provided a decrease of the HLA class-I heterozygosity and an ability to recognize SARS-CoV-2 peptides. Based on our observations, we developed a prediction model involving demographic variables and HLA-C*04:01 allele for the identification of potential cases with the risk of hospitalization (the area under the curve (AUC) = 86.2%) or severe COVID-19 (AUC =71%).

Authors: Anahit Hovhannisyan, Vergine Madelian, Sevak Avagyan, Mihran Nazaretyan, Armine Hyussyan, Alina Sirunyan, Rubina Arakelyan, Zorayr Manukyan, Levon Yepiskoposyan, Karine R. Mayilyan, Frieda Jordan

Date Published: 3rd Feb 2022

Publication Type: Journal

DOI: 10.3389/fimmu.2022.769900

Citation: Frontiers in Immunology,13

Created: 22nd Aug 2025 at 08:25

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