Quantifying human genome parameters in aging.

Healthy human longevity is a global goal of the world health system. Determining the causes and processes influencing human longevity is the primary fundamental goal facing the scientific community. Currently, the main efforts of the scientific community are aimed at identifying the qualitative characteristics of the genome that determine the trait. At the same time, when evaluating qualitative characteristics, there are many challenges that make it difficult to establish associations. Quantitative traits are burdened with such problems to a lesser extent, but they are largely overlooked in current genomic studies of aging and longevity. Although there is a wide repertoire of quantitative trait analyses based on genomic data, most opportunities are ignored by authors, which, along with the inaccessibility of published data, leads to the loss of this important information. This review focuses on describing quantitative traits important for understanding aging and necessary for analysis in further genomic studies, and recommends the inclusion of the described traits in the analysis. The review considers the relationship between quantitative characteristics of the mitochondrial genome and aging, longevity, and age-related neurodegenerative diseases, such as the frequency of extensive mitochondrial DNA (mtDNA) deletions, mtDNA half-life, the frequency of A>G replacements in the mtDNA heavy chain, the number of mtDNA copies; special attention is paid to the mtDNA methylation sign. A separate section of this review is devoted to the correlation of telomere length parameters with age, as well as the association of telomere length with the amount of mitochondrial DNA. In addition, we consider such a quantitative feature as the rate of accumulation of somatic mutations with aging in relation to the lifespan of living organisms. In general, it may be noted that there are quite serious reasons to suppose that various quantitative characteristics of the genome may be directly or indirectly associated with certain aspects of aging and longevity. At the same time, the available data are clearly insufficient for definitive conclusions and the determination of causal relationships.

Current Trends and Approaches to the Search for Genetic Determinants of Aging and Longevity.

Aging is a natural process of extinction of the body and the main aspect that determines the life expectancy for individuals who have survived to the post-reproductive period. The process of aging is accompanied by certain physiological, immune, and metabolic changes in the body, as well as the development of age-related diseases. The contribution of genetic factors to human life expectancy is estimated at about 25-30%. Despite the success in identifying genes and metabolic pathways that may be involved in the life extension process in model organisms, the key question remains to what extent these data can be extrapolated to humans, for example, because of the complexity of its biological and sociocultural systems, as well as possible species differences in life expectancy and causes of mortality. New molecular genetic methods have significantly expanded the possibilities for searching for genetic factors of human life expectancy and identifying metabolic pathways of aging, the interaction of genes and transcription factors, the regulation of gene expression at the level of transcription, and epigenetic modifications. The review presents the latest research and current strategies for studying the genetic basis of human aging and longevity: the study of individual candidate genes in genetic population studies, variations identified by the GWAS method, immunogenetic differences in aging, and genomic studies to identify factors of "healthy aging." Understanding the mechanisms of the interaction between factors affecting the life expectancy and the possibility of their regulation can become the basis for developing comprehensive measures to achieve healthy longevity. Supplementary Information: The online version contains supplementary material available at 10.1134/S1022795422120067.

[Mental disorders of cognitive and non-cognitive spectrum in the first-degree relatives of patients with Alzheimer's disease].

Mental disorders of cognitive and non-cognitive spectrum in the first-degree relatives of patients with Alzheimer's disease (AD) were studied in 134 relatives, mean age 47.6 years, including 110 children and 24 siblings of probands. Compared to the age-matched controls (22 normals without relatives with AD), the higher frequency of the following mental disorders was found in the relatives: Alzheimer's phobia, irritable weakness, mild cognitive impairment, including difficulties in learning new information and reduced sustained attention due to tiredness (2 times more frequent), difficulties in recollection of remote events (1.4 times more frequent), signs of constitutional cognitive deficit in the anamnesis (2-4 times more frequent), the combinations of two or three types of cognitive deficits (3-4 times more frequent), the combination of communicating hydrocephalus with MRI signs of cerebrovascular pathology (3,4 times more frequent). The data obtained in the study can help develop treatment/ rehabilitation measures to prevent the progression of cognitive deficit.

[Analysis of clusterin gene (CLU/APOJ) polymorphism in Alzheimer's disease patients and in normal cohorts from Russian populations].

Three genes mutations in which cause familial forms of Alzheimer's disease are known to date:PSEN1, PSEN2 and APP; and APOE gene polymorphism is a strong risk factor for Alzheimer's disease. We have evaluated allele and genotype frequency distribution of rs11136000 polymorphism in clusterin (CLU) gene (or apolipoprotein J, APOJ) in populations of three Russian regions and i nAlzheimhner's diseasepatients. Genome-wideassociation studies in samples from several European populations have recently revealed highly significant association o fCLU gene with AD (p = 8.5 x 10(-10)). We found no differences in allele and genotype frequencies of rs11136000 between populations from Moscow, Ural and Siberia regions. The allele frequencies are close to those in European populations. The genetic association analysis in cohort of Alzheimer's disease patients and normal individuals (>500 individuals ineach group) revealed no significant association of the rs11136000 polymorphism in CLU with Alzheimer's disease in Russian populations. Although our resultsdo not confirm the role of CLU gene as a majorgenetic factor forcommon form of Alzheimer's disease, the data do not rule out the possibility of modest effect of CLU and interaction between CLU and APOE genotypes in etiology of Alzheimer's disease.

[RT-PCR detection of deformed wing virus in the honey bee Apis mellifera L. in the Moscow Region].

Deformed wing virus (DWV) was first detected in the honey bee Apis mellifera by reverse transcriptase-polymerase chain reaction (RT-PCT) in the Moscow Region. Molecular phylogenetic analysis of the detected nucleotide sequence of the virus fragment VP2-VP1 of DWV demonstrated that the Russian virus sequence is united in the common cluster with all earlier revealed nucleotide sequences of DWV in the Genbank worldwide, which confirms the previous conclusions that this virus has recently distributed in the honey bee by Varroa destructor mite. It has been shown that the level of homology for all DWV nucleotide sequences is 98%, except for nucleoside sequence of 7D isolate from Turkey (96% homology), 96% homology with Kakugo virus and 84-86% homology with Varroa destructor virus 1; there is a preponderance of insignificant nucleotide substitutions, mainly transitions, which supports the evolutionary propinquity of 3 viruses.

[Mapping of EST- and STS-markers in the human genome using a panel fo radiation hybrids]. / Kartirovanie v genome cheloveka EST- i STS-markerov s ispol'zovaniem paneli radiatsionnykh gibridov.

Ten DNA markers were localized in the human genome by a screening procedure against the radiation hybrid somatic cell panel (GeneBridge 4 RH Panel) using polymerase chain reaction (RH mapping method). DNA markers were developed to nucleotide sequences adjacent to NotI sites of human chromosome 3 (NotI-STS markers) and also to nucleotide sequences of human cDNA (EST markers). Three EST markers mapped (B10164, S16R and 18F5R) were localized in the human genome for the first time. Marker B10164 was found to be homologous to the nucleotide sequence of the BASP1 gene coding a major receptor protein. Markers S16R and 18F5R presumably tagged new genes, because no homologies were revealed among the nucleotide sequences presented in the databases. For four NotI-STS, more precise localization on human chromosome 3 was determined. On the basis of the data obtained, the NotI map may be integrated with other types of physical maps of human chromosome 3. RH mapping with a standard commercial panel of radiation hybrid somatic cells provided a chance to integrate the data obtained into international databases and existing integrated human chromosomal maps.