Genome-Protecting Compounds as Potential Geroprotectors.
Ekaterina N ProshkinaMikhail ShaposhnikovAlexey MoskalevPublished in: International journal of molecular sciences (2020)
Throughout life, organisms are exposed to various exogenous and endogenous factors that cause DNA damages and somatic mutations provoking genomic instability. At a young age, compensatory mechanisms of genome protection are activated to prevent phenotypic and functional changes. However, the increasing stress and age-related deterioration in the functioning of these mechanisms result in damage accumulation, overcoming the functional threshold. This leads to aging and the development of age-related diseases. There are several ways to counteract these changes: 1) prevention of DNA damage through stimulation of antioxidant and detoxification systems, as well as transition metal chelation; 2) regulation of DNA methylation, chromatin structure, non-coding RNA activity and prevention of nuclear architecture alterations; 3) improving DNA damage response and repair; 4) selective removal of damaged non-functional and senescent cells. In the article, we have reviewed data about the effects of various trace elements, vitamins, polyphenols, terpenes, and other phytochemicals, as well as a number of synthetic pharmacological substances in these ways. Most of the compounds demonstrate the geroprotective potential and increase the lifespan in model organisms. However, their genome-protecting effects are non-selective and often are conditioned by hormesis. Consequently, the development of selective drugs targeting genome protection is an advanced direction.
Keyphrases
- genome wide
- dna damage
- dna methylation
- dna damage response
- oxidative stress
- copy number
- transition metal
- induced apoptosis
- dna repair
- gene expression
- cell cycle arrest
- electronic health record
- circulating tumor
- big data
- transcription factor
- single molecule
- cancer therapy
- drug delivery
- artificial intelligence
- cell proliferation
- signaling pathway
- anti inflammatory
- cell death
- risk assessment
- deep learning
- climate change
- stress induced