Literature DB >> 9789734

Epigenetic stratification: the role of individual change in the biological aging process.

S M Jazwinski1, S Kim, C Y Lai, A Benguria.   

Abstract

Aging is a complex process. It consists of a diverse assortment of seemingly random manifestations that occur in the individual, the mutual relationship and impact on mortality of which is frequently obscure. We derive a simple equation to model the aging process based on scale invariant and increasing change. The solution to this equation indicates that this change itself, irrespective of its quality, is the cause and not simply the effect of aging. This model establishes loss of homeostasis as a fundamental feature of aging. The model is deterministic, but it supports the stochastic nature of age changes. Paradoxically, this model states that a sufficient augmentation of aging processes results in a lack of aging. Experimental evidence in support of this model is presented that spans the levels of population mortality rates, cellular spatial organization, and gene dysregulation.

Mesh:

Year:  1998        PMID: 9789734     DOI: 10.1016/s0531-5565(98)00029-1

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  12 in total

1.  Explaining mortality rate plateaus.

Authors:  J S Weitz; H B Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-18       Impact factor: 11.205

2.  The transcriptome of prematurely aging yeast cells is similar to that of telomerase-deficient cells.

Authors:  Isabelle Lesur; Judith L Campbell
Journal:  Mol Biol Cell       Date:  2004-01-12       Impact factor: 4.138

3.  Accumulation of health disorders as a systemic measure of aging: Findings from the NLTCS data.

Authors:  Alexander Kulminski; Anatoli Yashin; Svetlana Ukraintseva; Igor Akushevich; Konstantin Arbeev; Kenneth Land; Kenneth Manton
Journal:  Mech Ageing Dev       Date:  2006-09-14       Impact factor: 5.432

4.  Empirical laws of survival and evolution: their universality and implications.

Authors:  M Y Azbel'
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

5.  Phenomenological theory of mortality evolution: its singularities, universality, and superuniversality.

Authors:  M Y Azbel'
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

6.  Mutations in DNA replication genes reduce yeast life span.

Authors:  Laura L Mays Hoopes; Martin Budd; Wonchae Choe; Tao Weitao; Judith L Campbell
Journal:  Mol Cell Biol       Date:  2002-06       Impact factor: 4.272

7.  Modulation of life-span by histone deacetylase genes in Saccharomyces cerevisiae.

Authors:  S Kim; A Benguria; C Y Lai; S M Jazwinski
Journal:  Mol Biol Cell       Date:  1999-10       Impact factor: 4.138

Review 8.  Modeling aging and its impact on cellular function and organismal behavior.

Authors:  Emerson Santiago; David F Moreno; Murat Acar
Journal:  Exp Gerontol       Date:  2021-09-26       Impact factor: 4.032

9.  A modeling study of budding yeast colony formation and its relationship to budding pattern and aging.

Authors:  Yanli Wang; Wing-Cheong Lo; Ching-Shan Chou
Journal:  PLoS Comput Biol       Date:  2017-11-09       Impact factor: 4.475

10.  Up-regulation of the Cdc42 GTPase limits the replicative life span of budding yeast.

Authors:  Pil Jung Kang; Rachel Mullner; Haoyu Li; Derek Hansford; Han-Wei Shen; Hay-Oak Park
Journal:  Mol Biol Cell       Date:  2022-01-19       Impact factor: 3.612

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