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93 Publications visible to you, out of a total of 93

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SUMMARY: KEGG pathway database is a collection of manually drawn pathway maps accompanied with KGML format files intended for use in automatic analysis. KGML files, however, do not contain the required information for complete reproduction of all the events indicated in the static image of a pathway map. Several parsers and editors of KEGG pathways exist for processing KGML files. We introduce KEGGParser-a MATLAB based tool for KEGG pathway parsing, semiautomatic fixing, editing, visualization and analysis in MATLAB environment. It also works with Scilab. AVAILABILITY AND IMPLEMENTATION: The source code is available at http://www.mathworks.com/matlabcentral/fileexchange/37561.

Authors: A. Arakelyan, L. Nersisyan

Date Published: 15th Feb 2013

Publication Type: Journal

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Schizophrenia is a severe psychiatric disease with inflammatory component. Several studies indicated the increased blood levels of proinflammatory interleukin-6 cytokine in schizophrenia. However, only limited studies explored the relationship between excess production and genetic variations of this cytokine in schizophrenia, and the results were controversial. Here, we investigated possible association of the interleukin-6 gene (IL6) rs1800795 (–174G/C) polymorphism with schizophrenia and relationship between this polymorphism and interleukin-6 protein (IL-6) blood levels. This polymorphism was found by other researchers to associate with different transcription rates and different plasma levels of IL-6. A total of 208 unrelated Armenians were genotyped by polymerase chain reaction with sequence-specific primers, and IL-6 levels were assessed by enzyme-linked immunosorbent assay. The IL6 rs1800795 alleles and genotypes in both groups were in Hardy–Weinberg (H–W) equilibrium. We found that rs1800795*C allele [38% vs 24%, P = 0.002, odds ratio (OR) = 1.95, 95% confidence interval (CI): 1.18–2.14] and its carriers (62% vs 42%, P = 0.003, OR = 2.28, 95% CI: 1.13–1.94) were more frequent in patients than in controls. IL-6 in patients was 1.5-fold higher than in controls (mean ± SD: 6.41 ± 2.47 pg/ml vs 4.15 ± 1.42 pg/ml, P = 1.9E–19). In both groups, higher IL-6 in rs1800795 GG compared to rs1800795*C allele carriers was observed (GG vs GC + CC, patients: 7.02 ± 2.83 pg/ml vs 5.39 ± 1.2 pg/ml, P = 0.0006; controls: 5.21 ± 1.17 pg/ml vs 3.38 ± 1.03 pg/ml, P = 1.6E–15). In conclusion, we report an association of IL6 rs1800795 and higher IL-6 with schizophrenia. We also conclude that IL6 rs1800795*C allele is linked to increased IL-6 blood levels and may be a risk factor for schizophrenia development at least in Armenian population.

Authors: R. Zakharyan, M. Petrek, A. Arakelyan, F. Mrazek, S. Atshemyan, A. Boyajyan

Date Published: 10th May 2012

Publication Type: Journal

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Monocyte chemoattractant protein-1 (MCP-1) has been proposed as a contributory factor in pathophysiology of schizophrenia. The aim of the current study was to explore the possible association of the MCP-1-2518A/G genetic polymorphism and plasma levels of MCP-1 in patients with paranoid schizophrenia. The MCP-1-2518A/G (rs1024611) polymorphism and blood levels of MCP-1 in patients with paranoid schizophrenia and healthy subjects were evaluated and compared. One hundred and three chronic patients with paranoid schizophrenia treated with neuroleptics and 105 healthy subjects were genotyped using polymerase chain reaction with sequence-specific primers (PCR-SSP) and their MCP-1 plasma levels were measured by a solid-phase enzyme-linked immunosorbent assay (ELISA). When comparisons were made between patients and controls, the frequency of the MCP-1-2518*G minor allele (35% vs 23%, p=0.009, OR=1.77, 95% CI: 1.1-2.04) and also of the MCP-1-2518*G carriers (60% vs 40%, p=0.003, OR=2.27, 95% CI: 1.13-2.01) were higher in patients. The mean value of the MCP-1 plasma level in patients with schizophrenia was significantly higher than in controls. Interestingly, the patients with the GG genotype had the highest MCP-1 level (711.4 ± 211.4 pg/ml), followed by those with the AG genotype (472.1 ± 135.8 pg/ml) and AA (372.4 ± 180.2 pg/ml) homozygotes. In conclusion, we report here the association of the -2518A/G genetic polymorphism and increased plasma levels of MCP-1 with schizophrenia and nominate -2518*G minor allele as a risk factor for schizophrenia in Armenian population.

Authors: Roksana Zakharyan, Anna Boyajyan, Arsen Arakelyan, Maya Melkumova, Frantisek Mrazek, Martin Petrek

Date Published: 17th Mar 2012

Publication Type: Journal

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Background: Schizophrenia is a complex, multifactorial psychiatric disorder. Our previous findings indicated that altered functional activity of the complement system, a major mediator of the immune response, is implicated in the pathogenesis of schizophrenia. In order to explore whether these alterations are genetically determined or not, in the present study we evaluated the possible association of complement C1Q component gene variants with susceptibility to schizophrenia in Armenian population, focusing on four frequent single nucleotide polymorphisms (SNPs) of C1QA and C1QB genes. Methods: In the present study four SNPs of the complement C1Q component genes (C1QA: rs292001, C1QB rs291982, rs631090, rs913243) were investigated in schizophrenia-affected and healthy subjects. Unrelated Caucasian individuals of Armenian nationality, 225 schizophrenic patients and the same number of age- and sex-matched healthy subjects, were genotyped. Genotyping was performed using polymerase chain reaction with sequence-specific primers (PCR-SSP) and quantitative real-time (qRT) PCR methods. Results: While there was no association between C1QA rs292001, C1QB rs913243 and rs631090 genetic variants and schizophrenia, the C1QB rs291982*G minor allele was significantly overrepresented in schizophrenic patients (G allele frequency 58%) when compared to healthy subjects (46%, OR = 1.64, p(corr) = 0.0008). Importantly, the susceptibility for schizophrenia was particularly associated with C1QB rs291982 GG genotype (OR = 2.5, p(corrected) = 9.6E-5). Conclusions: The results obtained suggest that C1QB gene may be considered as a relevant candidate gene for susceptibility to schizophrenia, and its rs291982*G minor allele might represent a risk factor for schizophrenia at least in Armenian population. Replication in other centers/populations is necessary to verify this conclusion.

Authors: Roksana Zakharyan, Aren Khoyetsyan, Arsen Arakelyan, Anna Boyajyan, Anaida Gevorgyan, Anna Stahelova, Frantisek Mrazek, Martin Petrek

Date Published: 28th Sep 2011

Publication Type: Journal

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Background: Whereas the complement system alterations contribute to schizophrenia, complement receptors and regulators are little studied. We investigated complement receptor type 1 (CR1) expression on blood cells, the levels of circulating immune complexes (CIC) containing ligands of CR1, C1q complement protein and fragments of C3 complement protein (C1q-CIC, C3d-CIC), and CR1 C5507G functional polymorphism in schizophrenia patients and controls. Results: We found an increased C1q-CIC level and CR1 expression on blood cells, elevated number of CR1 positive erythrocytes and reduced number of CR1 positive lymphocytes and monocytes in patients compared to controls. No difference in the levels of C3d-CIC between groups was observed. Higher CR1 expression on erythrocytes in CC genotype versus CG+GG for both groups was detected, whereas no difference was observed for other cell populations. Our results indicated that schizophrenia is associated with the increased CR1 expression and C1q-CIC level. Conclusions: Our study for the first time indicated that schizophrenia is associated with the increased CR1 expression and C1q-CIC level. Further studies in other ethnic groups are needed to replicate these findings.

Authors: Arsen Arakelyan, Roksana Zakharyan, Aren Khoyetsyan, David Poghosyan, Rouben Aroutiounian, Frantisek Mrazek, Martin Petrek, Anna Boyajyan

Date Published: 25th Aug 2011

Publication Type: Journal

Abstract (Expand)

Inferring the genetic structure of populations at the subpopulation level is crucial for understanding the evolutionary forces and demographic histories that shape genetic diversity. Among the most widely used approaches in population genetics are methods based on admixture and structure modeling—named after the respective software tools—which have become standard due to their intuitive, interpretable outputs. In this study, we address a key methodological question: how does traditional admixture-based decomposition of genetic components in multilocus population data relate to clustering approaches that leverage machine learning, specifically Self-Organizing Maps (SOMs)? We implemented this approach through our custom SOM-based tool, SOMmelier, which enables the portrayal of genetic structure by identifying modules of co-mutated SNPs and arranging them in a topology-aware genetic landscape. In this context, topology-awareness refers to the organization of genetic modules in a two-dimensional map, where their spatial proximity reflects mutual similarity. As a case study, we applied SOMmelier to investigate the population genetics of European grapevine. Based on prior literature, we considered up to six genetic components, which formed a genetic landscape that closely mirrors the geographic expanse of the classical Mediterranean world—from Western Asia through the Caucasus to Western Europe. The resulting topology reflects the dynamic spatial and temporal nature of grapevine domestication and diffusion. SOMmelier thus represents a complementary and powerful framework for genetic data analysis. By integrating the topological structure of SNP co-variation, it offers new perspectives on population structure, evolutionary history, and trait associations in grapevine—and has broader applicability to other species and systems in population genetics.

Author: Anush Baloyan, Tomas Konecny, Emma Hovhannisyan, Nate Zadirako, Maria Nikoghosyan, Hans Binder

Date Published: No date defined

Publication Type: Unpublished

Abstract (Expand)

COVID-19 pandemic severely impacted the healthcare and economy on a global scale. It is widely recognized that mass testing is an efficient way to contain the spread of SARS-CoV-2 infection as well as aid in the development of informed policies for disease management. However, the current COVID-19 worldwide infection rates increased the demand for rapid and reliable screening of infection. We compared the performance of qRT-PCR in direct heat-inactivated (H), heat-inactivated and pelleted (HC) samples against RNA in a group of 74 subjects (44 positive and 30 negative). Then we compared the sensitivity of HC in a larger group of 196 COVID-19 positive samples. Our study suggests that HC samples show higher accuracy for SARS-CoV-2 detection PCR assay compared to direct H (89 % vs 83 % of the detection in RNA). The sensitivity of detection using direct samples varied depending on the sample transport and storage media as well as the viral loads (as measured by qRT-PCR Ct levels). Altogether, all the data suggest that purified RNA provides more accurate results, however, direct sample testing with qRT-PCR may help to significantly increase testing capacity. Switching to the direct sample testing is justified if the number of tests is doubled at least.

Authors: Diana Avetyan, Andranik Chavushyan, Hovsep Ghazaryan, Ani Melkonyan, Ani Stepanyan, Roksana Zakharyan, Varduhi Hayrapetyan, Sofi Atshemyan, Gisane Khachatryan, Tamara Sirunyan, Suren Davitavyan, Gevorg Martirosyan, Gayane Melik-Andreasyan, Shushan Sargsyan, Armine Ghazazyan, Naira Aleksanyan, Xiushan Yin, Arsen Arakelyan

Date Published: No date defined

Publication Type: Journal

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