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Aging

Aging

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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Updated: Jul 6, 2025

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging

Published on: July 14, 2016

Microphysiological systems for human aging research.

Seungman Park¹, Thomas C Laskow², Jingchun Chen³

¹Department of Mechanical Engineering, University of Nevada, Las Vegas, Las Vegas, Nevada, USA.

|January 5, 2024

Summary

This summary is machine-generated.

Microphysiological systems (MPS), or organs-on-a-chip (OoC), can model human aging. This review explores MPS applications for understanding aging mechanisms and developing drugs for age-related diseases.

Keywords:

age-related changes age-related diseases aging aging phenotypes microphysiological systems

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Area of Science:

Biomedical Engineering
Gerontology
In Vitro Modeling

Background:

Microphysiological systems (MPS), also known as organs-on-a-chip (OoC), replicate organ functions in vitro.
Aging is a major risk factor for numerous diseases, driving significant research interest.
Current research has limited exploration of MPS for studying human aging and age-related diseases.

Purpose of the Study:

To review the application of MPS in aging research.
To provide an overview of age-related molecular, cellular, and physiological changes.
To discuss current MPS models for studying human aging and age-related conditions.

Main Methods:

Literature review of MPS applications in aging research.
Analysis of molecular, cellular, and physiological changes associated with aging.
Discussion of existing MPS platforms for aging studies and their limitations.

Main Results:

MPS platforms offer potential for modeling human aging and age-related diseases.
MPS can elucidate molecular and cellular mechanisms underlying aging.
MPS can serve as predictive tools for evaluating preclinical drugs for age-related conditions.

Conclusions:

MPS represent a promising technology for advancing human aging research.
Further development of MPS is needed to overcome current limitations.
Future MPS platforms hold potential for improved understanding and treatment of age-related diseases.