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Stochastic theories of aging are theories suggesting that aging is caused by small changes in the body over time and the body's failure to restore the system and mend the damages to the body. Cells and tissues are injured due to the accumulation of damage over time resulting in the diminished functioning of organs.
The metabolic stability theory of aging suggests it is the cells ability to maintain stable concentration of ROS which is the primary determinant of lifespan. [37] This theory criticizes the free radical theory because it ignores that ROS are specific signalling molecules which are necessary for maintaining normal cell functions. [37]
The two theories; non-adaptive, and adaptive, are used to explain the evolution of senescence, which is the decline in reproduction with age. [8] The non-adaptive theory assumes that the evolutionary deterioration of human age occurs as a result of accumulation of deleterious mutations in the germline. [8]
The mitochondrial theory of ageing has two varieties: free radical and non-free radical. The first is one of the variants of the free radical theory of ageing. It was formulated by J. Miquel and colleagues in 1980 [1] and was developed in the works of Linnane and coworkers (1989). [2] The second was proposed by A. N. Lobachev in 1978. [3]
Aging theories based on group selection; Antagonistic pleiotropy hypothesis; C. Cross-linking theory of aging; D. Disposable Soma Theory; DNA damage theory of aging; E.
Aging theories based on group selection; Antagonistic pleiotropy hypothesis; C. Cross-linking theory of aging; D. Disposable Soma Theory; DNA damage theory of aging; E.
Hayflick suggested that his results in which normal cells have a limited replicative capacity may have significance for understanding human aging at the cellular level. [ 4 ] It has been reported that the limited replicative capability of human fibroblasts observed in cell culture is far greater than the number of replication events experienced ...
In mathematics, the theory of stochastic processes is an important contribution to probability theory, [29] and continues to be an active topic of research for both theory and applications. [30] [31] [32] The word stochastic is used to describe other terms and objects in mathematics.