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S V Anisimov

Publications and source records attributed to S V Anisimov.

6 recordsLinked to original sources
PubMed2003

Aging-associated changes in cardiac gene expression: large scale transcriptome analysis.

Aging and aging-related diseases are associated with altered patterns of gene expression, involving quantitative and qualitative changes in the abundance of specific transcripts. A complete and simultaneous analysis of gene expression should therefore lead to important insights into the transcriptional mechanisms underlying the aging process. Recently, we have employed high-throughput gene expression profiling to study transcriptional activity in heart. Two technologies, serial analysis of gene expression (SAGE) and gene expression arrays, allow rapid, large-scale expression profiling, which provides information about the dynamics of total gene expression with age and which can be employed to identify candidate genes that may serve as diagnostic and prognostic markers in age-associated cardiac diseases. The accompanying gene predictions from high-throughput gene expression profiling provide a starting point for understanding the function, the complexity of interactions, and the role of genes in promoting cellular/organismal phenotypes during senescence and disease. In this review we describe the current state of transcriptome profiling by SAGE and microarrays and discuss how results generated with these approaches in heart can be applied to the study of aging and the treatment of cardiovascular diseases.

Aging↗
PubMed2002

Studies of the effects of Vilon and Epithalon on gene expression in mouse heart using DNA-microarray technology.

Expression of 15,247 clones from a cDNA library in the heart of mice receiving Vilon and Epithalon was studied by DNA-microarray technology. We revealed 300 clones (1.94% of the total count), whose expression changed more than by 2 times. Vilon changed expression of 36 clones, while Epithalon modulated expression of 98 clones. Combined treatment with Vilon and Epithalon changed expression of 144 clones. Vilon alone or in combination with Epithalon activated expression of 157 clones (maximally by 6.13 times) and inhibited expression of 23 clones (maximally by 2.79 times). Epithalon alone or in combination with Vilon activated expression of 194 clones (maximally by 6.61 times) and inhibited expression of 48 clones (maximally by 2.71 times). Our results demonstrate the specific effects of Epithalon and Vilon on gene expression.

Animals↗
PubMed2001

Discovering altered genomic expression patterns in heart: transcriptome determination by serial analysis of gene expression.

The development of cardiovascular diseases such as heart failure involve functional changes that are beneficial short-term, but may be fatal long-term. Current therapeutic approaches are tailored to limit progression of a disease and to maintain quality of life. At a molecular level, these disease processes involve quantitative and qualitative changes in gene expression. Although some changes in mRNA abundance may not have direct protein correlates, analysis of all the mRNAs present in a cell population (the cells transcriptome) has become a focal point of genomic research. The aim is to provide information about the dynamics of total genome expression in response to environmental changes and point to candidate genes responsible for the cascade of events that result in a disease state. One way of performing these analyses utilizes the technique of Serial Analysis of Gene Expression (SAGE). This method evaluates thousands of expressed transcripts both quantitatively and qualitatively in a single assay. In the first of two reviews on transcriptome analysis, we describe the current state of genomic research for determination of the transcriptome by Serial Analysis of Gene Expression, present the first limited SAGE analysis of rodent heart gene expression, and discuss how results generated with this approach can be applied to the study and treatment of cardiovascular diseases.

Cardiovascular Diseases↗
PubMed2001

Age-associated accumulation of the apolipoprotein C-III gene T-455C polymorphism C allele in a Russian population.

Apolipoprotein C-III (apoC-III) is the major component of triglyceride-rich lipoproteins. One of six identified polymorphisms in the apoC-III 5'-untranslated region (T-455C) is located within a functional insulin-response element. In a group of 137 elderly individuals (70-106 years old), the allele distribution was analyzed using restriction fragment length polymorphisms. Statistical analysis of allele frequencies was performed on subgroups selected by age and in elderly patients with arterial hypertension or ischemic heart disease. A greater frequency of the apoC-III -455C allele was demonstrated with aging (p < .005). No statistically significant difference in allele distributions was detected between healthy subjects and groups of elderly patients of the same age with either ischemic heart disease or arterial hypertension. The increased incidence of the C allele with advanced age indicates that this variant promoter is associated with longevity. The greater incidence of this allele is detectable only in adults older than 80 years of age.

Adolescent↗