Age-dependent Metabolism
Age-dependent Metabolism - Related Videos
08:46
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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Cited by 13 •
2011
Here we describe a set of DNA mutation assays that can be combined with the yeast chronological life span model to study the genes/pathways that regulate or contribute to genomic DNA instability during aging.
01:18
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism
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2025
Geriatric patients show significant variation in how their bodies process medications, which can change how effective and safe treatments are. The liver is the primary organ where drug metabolism occurs, involving two main types of chemical reactions: phase I and II. Phase I metabolism is driven by the cytochrome P450 enzyme system, which includes key types such as CYP3A, CYP2D6, and CYP2C9. Research indicates that while aging doesn't notably alter the levels or activity of these enzymes, it...
06:44
Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
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2025
This study examines the effect of age on locomotion in C. elegans by measuring the largest Lyapunov exponent (LLE). As they age, C. elegans show an increase and subsequent decline in motor control. Results show a peak LLE at five days, followed by a decline as the worms age.
07:46
Gait Analysis of Age-dependent Motor Impairments in Mice with Neurodegeneration
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Cited by 18 •
2018
In this study, we demonstrate the use of kinematic gait analysis based on ventral plane imaging to monitor the subtle changes in motor coordination as well as the progression of neurodegeneration with advancing age in mouse models (e.g., endophilin mutant mouse lines).
13:18
How to Study Basement Membrane Stiffness as a Biophysical Trigger in Prostate Cancer and Other Age-related Pathologies or Metabolic Diseases
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Cited by 4 •
2016
Here we explain a protocol for modelling the biophysical microenvironment where crosslinking and increased stiffness of the basement membrane (BM) induced by advanced glycation endproducts (AGEs) has pathological relevance.
FAQs
Age-related shifts in body composition can change how much energy the body uses and how compounds are distributed. Changes in body composition may therefore influence nutritional requirements and medication exposure, even when two patients receive the same intervention. Considering composition alongside age helps clinicians interpret differences in energy balance and treatment response.
Organ function, enzyme activity, and blood flow affect different stages of compound handling. Together, these variables can alter absorption, distribution, metabolism, and elimination, so an age-associated change in one stage may influence the overall response. This framework is especially relevant when interpreting why medication effects may differ between children, adults, and older patients.
Hormonal signaling contributes to age-related metabolic variation by interacting with energy expenditure and the body’s processing of nutrients and compounds. Because these biological signals shift across the lifespan, the same nutritional or pharmacologic intervention may produce different outcomes at different ages. Including hormonal influences in clinical interpretation helps avoid treating age as an isolated explanation.
Age-dependent metabolism differs from a one-size-fits-all model because age is associated with coordinated changes in several physiological determinants rather than a single universal adjustment. Body composition, organ function, enzyme activity, hormonal signaling, and blood flow may all contribute, but their combined effects can vary among patients. This explains why age groups may require different clinical interpretations.
Clinicians and researchers use age-dependent metabolism when considering medication dosing and treatment response across age groups. The relevant reasoning is to account for how age-related changes may affect compound handling, rather than assuming an identical dose or outcome is appropriate for everyone. This supports safer, more individualized care and helps explain unexpected differences in response.
In nutrition research and care, these principles help interpret why energy needs may differ across the lifespan. Age-related changes in energy expenditure and nutrient processing provide context for evaluating nutritional requirements, disease risk, and responses to interventions. The approach is useful when a clinical finding could otherwise be misread as a general pattern rather than an age-associated difference.