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1.
Jpn J Infect Dis ; 77(3): 161-168, 2024 May 23.
Article in English | MEDLINE | ID: mdl-38296538

ABSTRACT

Coronavirus disease 2019 (COVID-19) is a pandemic that is still affecting people and has caused many deaths. Toll-like receptors (TLRs) have an important role in the binding of disease agents to the host cell, disease susceptibility and severity, and host disease resistance. In this study, we investigated the frequencies of TLR7 (C.4-151 A/G), TLR9 (T-1486C and G2848A), and TLR10 (720A/C and 992T/A) single nucleotide polymorphisms in 150 cases with COVID-19 and 171 control samples. We also examined whether TLR7, TLR9, and TLR10 were related to COVID-19 severity. Furthermore, we analyzed the association between COVID-19 and some clinical parameters. Polymerase chain reaction based on restriction fragment length polymorphisms performed for the TLR7, TLR9, and TLR10 single nucleotide polymorphisms. TLR7 C.4-151 A/G G allele and GG genotype; TLR9 T-1486C C allele and TC, CC genotypes; and TLR10 720A/C C allele; TLR10 992T/A A allele and AA genotype frequencies were statistically significant in cases with COVID-19 compared with controls (P < 0.05*). In addition, there was a statistically significant difference in the distribution of TLR7, TLR9, and TLR10 allele and genotype frequencies between the severity groups (P < 0.05*). Our findings suggest that TLR7, TLR9, and TLR10 polymorphisms may be crucial for the clinical course and susceptibility to infection.


Subject(s)
COVID-19 , Genetic Predisposition to Disease , Polymorphism, Single Nucleotide , Severity of Illness Index , Toll-Like Receptor 10 , Toll-Like Receptor 7 , Toll-Like Receptor 9 , Humans , COVID-19/genetics , COVID-19/virology , Toll-Like Receptor 7/genetics , Male , Female , Toll-Like Receptor 9/genetics , Middle Aged , Toll-Like Receptor 10/genetics , Aged , Adult , SARS-CoV-2/genetics , Genotype , Gene Frequency , Alleles , Case-Control Studies
2.
Mol Diagn Ther ; 27(5): 601-610, 2023 09.
Article in English | MEDLINE | ID: mdl-37347334

ABSTRACT

INTRODUCTION: Cardiovascular diseases (CVDs) are the leading cause of death worldwide according to World Health Organization (WHO) data. Atherosclerosis is considered as a chronic inflammatory disease that develops in response to damage to the vascular intima-media layer in most cases. In recent years, epigenetic events have emerged as important players in the development and progression of CVDs. Since noncoding RNA (ncRNAs) are important regulators in the organization of the pathophysiological processes of the cardiovascular system, they have the potential to be used as therapeutic targets, diagnostic and prognostic biomarkers. In this study long noncoding RNA (lncRNA) and mRNA gene expression were compared between coronary atherosclerotic plaques (CAP) and the internal mammary artery (IMA)  which has the same genetic makeup and is exposed to the same environmental stress conditions with CAP in the same individual. METHODS: lncRNA and mRNA gene expressions were determined using the microarray in the samples. Microarray results were validated by RT-qPCR. Differentially expressed genes (DEGs; lncRNAs and mRNAs) were determined by GeneSpring (Ver 3.0) [p values < 0.05 and fold change (FC) > 2]. DAVID bioinformatics program was used for Gene Ontology (GO) annotation and enrichment analyses of statistically significant genes between CAP and IMA tissue. RESULTS AND CONCLUSIONS: In our study, 345 DEGs were found to be statistically significant (p < 0.05; FC > 2) between CAP and IMA. Of these, 65 were lncRNA and 280 were mRNA. Thirty-three lncRNAs were upregulated, while 32 lncRNAs were downregulated. Some of the important mRNAs are SPP1, CYP4B1, CHRDL1, MYOC, and ALKAL2, while some of the lncRNAs are LOC105377123, LINC01857, DIO3OS, LOC101928134, and KCNA3 between CAP and IMA tissue. We also identified genes that correlated with statistically significant lncRNAs. The results of this study are expected to be an important source of data in the development of new genetically based drugs to prevent atherosclerotic plaque. In addition, the data obtained may contribute to the explanation of the epigenetic mechanisms that play a role in the pathological basis of the process that protects the IMA from atherosclerosis.


Subject(s)
Atherosclerosis , Cardiovascular Diseases , Plaque, Atherosclerotic , RNA, Long Noncoding , Humans , Plaque, Atherosclerotic/genetics , RNA, Long Noncoding/genetics , RNA, Long Noncoding/metabolism , Coronary Vessels/metabolism , Atherosclerosis/genetics , RNA, Messenger/genetics , Gene Expression Profiling
3.
Epigenomics ; 11(12): 1387-1397, 2019 09.
Article in English | MEDLINE | ID: mdl-31596136

ABSTRACT

Aim: Identification of microRNAs (miRNAs) associated with atherosclerosis may unravel novel therapeutic targets and biomarkers. We studied miRNAs differentially expressed between coronary atherosclerotic plaques (CAP) and healthy arteries. Materials & methods: Paired CAP and internal mammary arteries (IMA) were collected from 14 coronary artery disease patients. The miRNA profiles between diseased (CAP) and healthy (IMA) tissues were compared using microarrays and quantitative PCR. Results: Thirty-one miRNAs were differentially expressed between CAP and IMA. Among these, miR-486-5p showed a high level of regulation (12-fold), had predicted interactions with atherosclerosis-associated genes and correlated with triglyceride levels and arterial stenosis. Regulation of miR-486-5p was validated by PCR (p = 0.004). Conclusion: The miRNAs are regulated in the atherosclerotic plaque. We highlight miR-486-5p whose role in atherosclerosis requires further investigation.


Subject(s)
Coronary Artery Disease/genetics , Gene Expression Profiling/methods , MicroRNAs/genetics , Plaque, Atherosclerotic/genetics , Up-Regulation , Adult , Aged , Aged, 80 and over , Case-Control Studies , Coronary Artery Disease/blood , Female , Gene Regulatory Networks , Humans , Male , Middle Aged , Oligonucleotide Array Sequence Analysis , Plaque, Atherosclerotic/blood , Triglycerides/blood
4.
J Cell Biochem ; 120(9): 15506-15517, 2019 09.
Article in English | MEDLINE | ID: mdl-31044455

ABSTRACT

Crimean-Congo hemorrhagic fever (CCHF) is a tick-borne disease caused by the arbovirus Crimean-Congo hemorrhagic fever virus (CCHFV). The CCHFV has a single-stranded RNA genome of negative sense. MicroRNAs (miRNAs) are key players in virus-host interactions and viral pathogenesis. We investigated the miRNA gene expression profiles in patients with CCHF using microarray for the first time in the world. Microarray analysis was performed using mirBase Ver 21 (Agilent Technologies, Santa Clara, CA). All statistical analyses were performed across the case-control, fatal-control, and fatal-nonfatal case groups using Genespring (Ver 3.0). Fifteen miRNAs were statistical significant in patients with CCHF compared with the controls (5 were upregulated, 10 were downregulated). Seventy-five and sixty-six miRNAs are in fatal compared with control and nonfatal case, respectively (fold change ([FC] ≥50) were statistically significant. In this study, the target genes of important miRNAs were identified and Gene Ontology analyses were performed across all groups. As a result of this study, we propose that the detection of miRNAs in patients with CCHF will allow the determination of therapeutic targets in diseases. CCHF is an important public health problem that can often be fatal. In this study, we investigated miRNA expression in case-control, fatal-control, and fatal-nonfatal case groups. Significant miRNAs associated with fatality were detected in CCHF. This study will serve as a source of data for the development of an antagomir-based therapy against CCHF using miRNAs in the future.


Subject(s)
Biomarkers/blood , Hemorrhagic Fever Virus, Crimean-Congo/genetics , Hemorrhagic Fever, Crimean/blood , MicroRNAs/blood , Case-Control Studies , Female , Gene Expression Regulation/genetics , Hemorrhagic Fever Virus, Crimean-Congo/pathogenicity , Hemorrhagic Fever, Crimean/genetics , Hemorrhagic Fever, Crimean/mortality , Hemorrhagic Fever, Crimean/virology , Humans , Male , MicroRNAs/genetics , Microarray Analysis
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