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1.
Rejuvenation Res ; 24(5): 345-353, 2021 Oct.
Article in English | MEDLINE | ID: mdl-33849306

ABSTRACT

Several studies claimed C60 fullerenes as a prospective geroprotector drug due to their ability to capture free radicals effectively and caused a profound interest in C60 in life extension communities. Multiple additives are already sold for human consumption despite a small body of evidence supporting the beneficial effects of fullerenes on the lifespan. To test the effect of C60 fullerenes on lifespan and healthspan, we administered C60 fullerenes dissolved in virgin olive oil orally to 10-12 months old CBA/Ca mice of both genders for 7 months and assessed their survival. To uncover C60 and virgin olive effects, we established two control groups: mice treated with virgin olive oil (vehicle) and mice treated with drinking water. To measure healthspan, we conducted daily monitoring of health condition and lethality and monthly bodyweight measurements. We also assessed physical activity, glucose metabolism, and hematological parameters every 3 months. We did not observe health deterioration in the animals treated with C60 compared with the control groups. Treatment of mice with C60 fullerenes resulted in an increased lifespan of males and females compared with the olive oil-treated animals. The lifespan of C60-treated mice was similar to the mice treated with water. These results suggest that the lifespan-extending effect in C60-treated mice appears due to the protective effect of fullerenes in opposition to the negative effect of olive oil in CBA/Ca mice.


Subject(s)
Fullerenes , Animals , Female , Fullerenes/pharmacology , Health Status , Longevity , Male , Mice , Mice, Inbred CBA , Prospective Studies
2.
Int J Mol Sci ; 22(3)2021 Jan 22.
Article in English | MEDLINE | ID: mdl-33499037

ABSTRACT

One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum lifespan (MLS) are yet to be fully understood. Analyses are complicated further by the fact that MLS is highly associated with other confounding factors (metabolic rate, gestation period, body mass, etc.) and that linear models may be limiting. Using gene expression from 41 mammalian species, across five organs, we constructed gene-centric regression models associating gene expression with MLS and other species traits. Additionally, we used SHapley Additive exPlanations and Bayesian networks to investigate the non-linear nature of the interrelations between the genes predicted to be determinants of species MLS. Our results revealed that expression patterns correlate with MLS, some across organs, and others in an organ-specific manner. The combination of methods employed revealed gene signatures formed by only a few genes that are highly predictive towards MLS, which could be used to identify novel longevity regulator candidates in mammals.


Subject(s)
Gene Expression Profiling , Longevity/genetics , Machine Learning , Mammals/genetics , Aging , Algorithms , Animals , Bayes Theorem , Brain/metabolism , Computational Biology , Gene Expression , Humans , Linear Models , Liver/metabolism , Models, Genetic , RNA-Seq , Regression Analysis , Tissue Distribution , Transcriptome
3.
Aging Cell ; 19(7): e13158, 2020 07.
Article in English | MEDLINE | ID: mdl-32515539

ABSTRACT

One important question in aging research is how differences in genomics and transcriptomics determine the maximum lifespan in various species. Despite recent progress, much is still unclear on the topic, partly due to the lack of samples in nonmodel organisms and due to challenges in direct comparisons of transcriptomes from different species. The novel ranking-based method that we employ here is used to analyze gene expression in the gray whale and compare its de novo assembled transcriptome with that of other long- and short-lived mammals. Gray whales are among the top 1% longest-lived mammals. Despite the extreme environment, or maybe due to a remarkable adaptation to its habitat (intermittent hypoxia, Arctic water, and high pressure), gray whales reach at least the age of 77 years. In this work, we show that long-lived mammals share common gene expression patterns between themselves, including high expression of DNA maintenance and repair, ubiquitination, apoptosis, and immune responses. Additionally, the level of expression for gray whale orthologs of pro- and anti-longevity genes found in model organisms is in support of their alleged role and direction in lifespan determination. Remarkably, among highly expressed pro-longevity genes many are stress-related, reflecting an adaptation to extreme environmental conditions. The conducted analysis suggests that the gray whale potentially possesses high resistance to cancer and stress, at least in part ensuring its longevity. This new transcriptome assembly also provides important resources to support the efforts of maintaining the endangered population of gray whales.


Subject(s)
DNA Repair/genetics , Longevity/genetics , Transcriptome/genetics , Ubiquitination/genetics , Animals , Whales
4.
Proteomics ; 20(5-6): e1900408, 2020 03.
Article in English | MEDLINE | ID: mdl-32084299

ABSTRACT

Aging results in various deleterious changes in the human body that may lead to loss of function and the manifestation of chronic diseases. While diseases can generally be reliably diagnosed, the aging process itself requires more sophisticated approaches to evaluate its progression. Numerous attempts have been made to establish biomarkers to quantify human aging at the cellular, tissue, and organismal level. Here, an up-to-date overview of biomarkers related to human aging with an emphasis on biomarkers that take into account different mechanisms of aging between individuals is provided. Classical discrete molecular and non-molecular biomarkers handpicked by researches on the base of their strong correlation with age, as well as emerging omics-based biomarkers, are discussed and potential future directions and developments in the field of aging assessment are outlined.


Subject(s)
Aging , Animals , Biomarkers/analysis , Cellular Senescence , Computational Biology/methods , Genomic Instability , Humans , Mutation
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