Age dynamics of DNA damage and CpG methylation in the peripheral blood leukocytes of mice

Velegzhaninov, Ilya O.; Mezenceva, Vera; Shostal, Olga; Baranova, Ancha; Moskalev, Alexey

doi:10.1016/j.mrfmmm.2015.03.006

Cited by 10 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysis with DAVID Bioinformatics Resources 6.7 [ 38 ] showed that the differentially expressed genes were mainly enriched in the following seven KEGG pathways: “cell cycle,” “oocyte meiosis,” “progesterone-mediated oocyte maturation,” “p53 signaling pathway,” “DNA replication,” “mismatch repair,” and “nucleotide excision repair,” and all genes involved were downregulated in the old ovaries ( Table 4 ). It is well known that aging is associated with both a decrease in the efficiency of repair and an accumulation of DNA damage [ 52 , 53 ]. In our results, the genes involved in DNA replication and repair pathways were all downregulated in old monkey ovaries ( Figure 5 , Tables 4 and 5 ), which might indicate cellular senescence, caused by accumulation of damage to nuclear and mitochondrial DNA, decline in the function of stress resistance, which might lead to apoptosis and immune response [ 30 , 44 , 54 ].…”

Section: Resultsmentioning

confidence: 99%

Age-Specific Gene Expression Profiles of Rhesus Monkey Ovaries Detected by Microarray Analysis

Wei

Liu

Yuan

et al. 2015

BioMed Research International

View full text Add to dashboard Cite

The biological function of human ovaries declines with age. To identify the potential molecular changes in ovarian aging, we performed genome-wide gene expression analysis by microarray of ovaries from young, middle-aged, and old rhesus monkeys. Microarray data was validated by quantitative real-time PCR. Results showed that a total of 503 (60 upregulated, 443 downregulated) and 84 (downregulated) genes were differentially expressed in old ovaries compared to young and middle-aged groups, respectively. No difference in gene expression was found between middle-aged and young groups. Differentially expressed genes were mainly enriched in cell and organelle, cellular and physiological process, binding, and catalytic activity. These genes were primarily associated with KEGG pathways of cell cycle, DNA replication and repair, oocyte meiosis and maturation, MAPK, TGF-beta, and p53 signaling pathway. Genes upregulated were involved in aging, defense response, oxidation reduction, and negative regulation of cellular process; genes downregulated have functions in reproduction, cell cycle, DNA and RNA process, macromolecular complex assembly, and positive regulation of macromolecule metabolic process. These findings show that monkey ovary undergoes substantial change in global transcription with age. Gene expression profiles are useful in understanding the mechanisms underlying ovarian aging and age-associated infertility in primates.

show abstract

Section: Resultsmentioning

confidence: 99%

Age-Specific Gene Expression Profiles of Rhesus Monkey Ovaries Detected by Microarray Analysis

Wei

Liu

Yuan

et al. 2015

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…Several promising age prediction strategies, such as those based on the assessment of DNA damage [ 45 ], have not been tested in large cohorts and cannot be considered reliable methods of evaluating the pace of aging. Certain age prediction methods are no longer in use.…”

Section: Biological Age Predictorsmentioning

confidence: 99%

Biological Age Predictors: The Status Quo and Future Trends

Erema

Yakovchik

Kashtanova

et al. 2022

IJMS

View full text Add to dashboard Cite

There is no single universal biomarker yet to estimate overall health status and longevity prospects. Moreover, a consensual approach to the very concept of aging and the means of its assessment are yet to be developed. Markers of aging could facilitate effective health control, more accurate life expectancy estimates, and improved health and quality of life. Clinicians routinely use several indicators that could be biomarkers of aging. Duly validated in a large cohort, models based on a combination of these markers could provide a highly accurate assessment of biological age and the pace of aging. Biological aging is a complex characteristic of chronological age (usually), health-to-age concordance, and medically estimated life expectancy. This study is a review of the most promising techniques that could soon be used in routine clinical practice. Two main selection criteria were applied: a sufficient sample size and reliability based on validation. The selected biological age calculators were grouped according to the type of biomarker used: (1) standard clinical and laboratory markers; (2) molecular markers; and (3) epigenetic markers. The most accurate were the calculators, which factored in a variety of biomarkers. Despite their demonstrated effectiveness, most of them require further improvement and cannot yet be considered for use in standard clinical practice. To illustrate their clinical application, we reviewed their use during the COVID-19 pandemic.

show abstract

“…Thus, the experimental studies indicate an increase of DNA lesions with aging, how-ever some contradictory data have been published. To overcome these contradictions, a combined parameter, "differential of DNA lesions" has been proposed [63]. The study was conducted on mice leukocytes, the authors did not detect any increase in the level of single-strand breaks, however the level of oxidised purines increased in animals of both sexes, oxidised pyrimidines -in males only, double-strand breaks -in females.…”

Section: Agementioning

confidence: 99%

Experimental and human population studies of DNA lesions in healthy individuals

Sjakste

2017

Biopolym. Cell

View full text Add to dashboard Cite

DNA damage is a valuable biomarker in human molecular epidemiology being associated with many diseases. However, the level of DNA damage is influenced also by intrinsic features of healthy persons: heredity, sex, age and body type. The objective of this review was to summarize data on DNA breakage level in healthy humans depending on their characteristics and to compare these data with experimental studies and observations on animals dealing with the same factors. Several strains of laboratory animals manifest an increased level of DNA breaks. In humans some gene polymorphisms are associated with [an] increased level of DNA damage, however it is believed that environmental factors are more important. In animals a higher level of DNA breakage is usually detected in males. In humans data on the role of gender are contradictory and depend on race. Experimental models provide evidence of increased levels of single-and double-strand breaks in obese animals. Human studies are not so convincing, an increase of double-strand breaks appears to be a more reproducible feature of DNA of overweight persons. Data on single-strand DNA breaks in aged persons are contradictory, but double strand breaks evidently increase with age.

show abstract

Age dynamics of DNA damage and CpG methylation in the peripheral blood leukocytes of mice

Cited by 10 publications

References 30 publications

Age-Specific Gene Expression Profiles of Rhesus Monkey Ovaries Detected by Microarray Analysis

Age-Specific Gene Expression Profiles of Rhesus Monkey Ovaries Detected by Microarray Analysis

Biological Age Predictors: The Status Quo and Future Trends

Experimental and human population studies of DNA lesions in healthy individuals

Contact Info

Product

Resources

About