Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Explaining mortality rate plateaus.

Literature DB >> 11752476

Explaining mortality rate plateaus.

Abstract

We propose a stochastic model of aging to explain deviations from exponential growth in mortality rates commonly observed in empirical studies. Mortality rate plateaus are explained as a generic consequence of considering death in terms of first passage times for processes undergoing a random walk with drift. Simulations of populations with age-dependent distributions of viabilities agree with a wide array of experimental results. The influence of cohort size is well accounted for by the stochastic nature of the model.

Entities: Disease

Mesh：

Year: 2001 PMID： 11752476 PMCID： PMC65038 DOI： 10.1073/pnas.261228098

Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN： 0027-8424 Impact factor: 11.205

24 in total

Explaining mortality rate plateaus.

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

2. Deceleration in the age pattern of mortality at older ages.

3. Extrachromosomal rDNA circles--a cause of aging in yeast.

4. Evolutionary theory predicts late-life mortality plateaus.

5. Stochastic mechanisms in gene expression.

Review 6. Biodemographic trajectories of longevity.

7. Rates of mortality in populations of Caenorhabditis elegans.

Review 8. What does cell death have to do with aging?

9. Extended life-span and stress resistance in the Drosophila mutant methuselah.

10. Tracking of blood pressure over a 40-year period in the University of Manitoba Follow-up Study, 1948-1988.

Review 1. Longevity and ageing: appraising the evolutionary consequences of growing old.

2. Aging and immortality in a cell proliferation model.

3. HAZARD CURVES AND LIFESPAN PROSPECTS.

4. The Strehler-Mildvan correlation from the perspective of a two-process vitality model.

Review 5. Insights into mortality patterns and causes of death through a process point of view model.

6. Mortality increase in late-middle and early-old age: heterogeneity in death processes as a new explanation.

7. The relationship of mammal survivorship and body mass modeled by metabolic and vitality theories.

8. A hierarchical process model links behavioral aging and lifespan in C. elegans.

9. Rule-based cell systems model of aging using feedback loop motifs mediated by stress responses.

Review 10. Senescence in Bacteria and Its Underlying Mechanisms.