Your browser doesn't support javascript.
loading
Aging is not senescence: a short computer demonstration and implications for medical practice
Monaco, Thiago Oliveira; Silveira, Paulo Sergio Panse.
  • Monaco, Thiago Oliveira; Universidade de São Paulo. Faculdade de Medicina. Department of Pathology. LIM-01. São Paulo. BR
  • Silveira, Paulo Sergio Panse; Universidade de São Paulo. Faculdade de Medicina. Department of Pathology. LIM-01. São Paulo. BR
Clinics ; 64(5): 451-457, 2009. ilus, graf
Article in English | LILACS | ID: lil-514747
ABSTRACT

INTRODUCTION:

The discussion regarding the evolution of aging is almost as old as Darwinian Evolution Theory, but to date, it has remained one of biology's unresolved problems. One issue is how to reconcile natural selection, which is understood as a process that purges deleterious characteristics, with senescence, which seems to offer no advantages to the individual.

METHOD:

A computer simulation that illustrates an evolutionary mechanism for the development of senescence in populations is presented.

DISCUSSION:

In this article, we debate that two popular explanations for the existence of senescence, namely, (1) the removal of elders for the benefit of the species and (2) the progressive deterioration of the organic machine due to continuous use, are not correct. While human populations continue to age, it is important that the physician understands that senescence, here defined as the progressive impairment of an organism, does not necessarily accompany aging, which we here define as the mere passage of time. As such, we argue that certain processes that were originally assumed to be part of aging should have their status changed because they are actually diseases. Physicians often encounter situations that depend on a better understanding of what limitations senescence imposes on most living species. The concepts of aging (the unavoidable passage of time), senescence (progressive physiologic impairment), and senility (the pathological development of diseases), are discussed.
Subject(s)

Full text: Available Index: LILACS (Americas) Main subject: Computer Simulation / Aging / Concept Formation / Biological Evolution / Models, Biological Type of study: Prognostic study Limits: Humans Language: English Journal: Clinics Journal subject: Medicine Year: 2009 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: LILACS (Americas) Main subject: Computer Simulation / Aging / Concept Formation / Biological Evolution / Models, Biological Type of study: Prognostic study Limits: Humans Language: English Journal: Clinics Journal subject: Medicine Year: 2009 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR