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Aging01:26

Aging

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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
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As individuals age, their body's physiology evolves, affecting drug pharmacokinetics. The most apparent changes occur in the gastrointestinal tract, where an increase in gastric pH, a delay in gastric emptying, and a reduction in gastrointestinal motility are observed. Remarkably, these changes do not substantially modify the absorption of orally administered drugs, particularly those absorbed via passive diffusion.Transdermal drug delivery emerges as a highly viable method for older adults due...
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Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
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Drug distribution in the human body is influenced by several factors, including plasma protein concentration, body composition, blood flow, tissue-protein concentration, and tissue fluid pH. Among these, changes in plasma protein concentration and body composition due to aging significantly affect how drugs are distributed within the body. Specifically, aging is associated with a decrease in albumin levels by about 10% and an increase in α1-acid glycoprotein levels. These alterations are...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Applications to aging networks.

Christopher Wimble1, Tarynn M Witten

  • 1Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Va., USA.

Interdisciplinary Topics in Gerontology
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Summary
This summary is machine-generated.

This chapter explores network concepts for systems biology of aging. It applies these concepts to study aging networks in Caenorhabditis elegans and Saccharomyces cerevisiae.

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Area of Science:

  • Systems Biology
  • Network Science
  • Gerontology

Background:

  • Aging is a complex biological process influenced by interconnected molecular and cellular networks.
  • Understanding aging requires analyzing these complex biological networks.

Purpose of the Study:

  • To introduce additional network concepts relevant to systems biology.
  • To apply network analysis to study the biology of aging.
  • To examine aging networks in model organisms.

Main Methods:

  • Introduction of advanced network concepts.
  • Application of network theory to biological systems.
  • Comparative analysis of aging networks.

Main Results:

  • Demonstration of network concepts' utility in aging research.
  • Insights into aging mechanisms in Caenorhabditis elegans.
  • Insights into aging mechanisms in Saccharomyces cerevisiae.

Conclusions:

  • Network analysis provides a powerful framework for studying the biology of aging.
  • The presented concepts and methods are applicable across different species.
  • Further research can leverage these approaches to understand aging and develop interventions.