Related Experiment Video
Updated: May 16, 2026
10:31
An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment
Published on: April 20, 2018
Understanding the metabolic syndrome: a modeling perspective.
Michael C K Khoo1, Flavia M G S Oliveira, Limei Cheng
1Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA. khoo@ bmsr.usc.edu
IEEE Reviews in Biomedical Engineering
|December 13, 2012
Summary
Obesity and sleep problems disrupt body regulation, increasing risks for metabolic syndrome. Understanding these links through modeling can reveal pathways to prevent obesity and related health issues.
Area of Science:
- Physiology
- Systems Biology
- Metabolic Health
Background:
- Rising obesity rates increase risks for diabetes, hypertension, and metabolic syndrome.
- Metabolic syndrome arises from imbalances in diet, physical activity, glucose-insulin control, and autonomic cardiovascular regulation.
- Sleep-disordered breathing and sleep disruption contribute to autonomic dysfunction and insulin resistance, exacerbating obesity.
Purpose of the Study:
- To overview physiological mechanisms linking obesity and sleep-disordered breathing to metabolic and autonomic dysfunction.
- To review models and modeling approaches for characterizing the interplay of factors in metabolic syndrome development.
Main Methods:
- Review of physiological mechanisms.
- Overview of existing models and modeling approaches.
- Analysis of complex dynamic systems using a model-based approach.
Main Results:
- Obesity and sleep-disordered breathing are interconnected, contributing to metabolic and autonomic dysfunction.
- Sleep deprivation can lead to daytime sleepiness, lethargy, and further obesity.
- Model-based analysis can delineate causal pathways in metabolic syndrome.
Conclusions:
- Understanding the complex interplay between obesity, sleep, and metabolic health is crucial.
- Modeling approaches offer valuable tools for investigating the multifactorial development of metabolic syndrome.
- Further research into these dynamic systems can inform strategies for preventing and managing metabolic syndrome.
Related Concept Videos
01:21Mechanistic Models: Overview of Compartment Models
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
01:26Type II Diabetes I: Introduction
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance, in which target tissues such as the liver, muscle, and adipose tissue respond poorly to insulin. It is also associated with inadequate compensatory insulin secretion, where pancreatic β-cells fail to produce sufficient insulin. Together, these abnormalities lead to persistent hyperglycemia.EtiologyT2DM develops through a complex interaction of genetic predisposition and environmental or...
01:30Introduction to Metabolism
Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
01:24Type II Diabetes II: Pathophysiology
PathophysiologyType 2 diabetes mellitus (T2DM ) is a chronic metabolic disorder characterized by insulin resistance and progressive pancreatic β-cell dysfunction, leading to impaired glucose homeostasis. It results from interactions among genetic predisposition, environmental factors, and metabolic stressors, such as overnutrition and a sedentary lifestyle.Insulin Resistance and Glucose DysregulationEarly T2DM involves insulin resistance in skeletal muscle, adipose tissue, and the liver.
01:40Overview of Metabolism
Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...