Related Experiment Video
Updated: Apr 1, 2026
09:41
Measuring the Rate of Lipolysis in Ex Vivo Murine Adipose Tissue and Primary Preadipocytes Differentiated In Vitro
Published on: March 17, 2023
4.0K
Improved Estimation of Human Lipoprotein Kinetics with Mixed Effects Models
Martin Berglund1, Martin Adiels2, Marja-Riitta Taskinen3
1Department of Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Göteborg, Sweden.
Plos One
|October 1, 2015
Summary
Mixed effects models improve lipoprotein kinetics analysis for type 2 diabetes patients. This approach requires fewer participants than traditional methods, offering better estimates for lipoprotein secretion and fluxes.
Area of Science:
- Metabolic disorders
- Cardiovascular disease research
- Mathematical biology
Background:
- Mathematical models estimate unmeasurable quantities like concentrations and fluxes in biological systems.
- System variability complicates translating individual traits to group behavior.
- Mixed effects models analyze individual and population behavior simultaneously.
Purpose of the Study:
- To develop and evaluate a mixed effects model for lipoprotein kinetics.
- To compare the mixed effects approach with traditional methods for estimating lipoprotein parameters.
- To assess the impact of sample and data set sizes on estimation accuracy.
Main Methods:
- Development of a mixed effects model for lipoprotein kinetics.
- Application of the model to a dataset of healthy individuals and type 2 diabetes patients.
- Comparison of traditional and mixed effects approaches using varying data sizes.
Main Results:
- The mixed effects approach yielded superior estimates compared to traditional methods.
- Improved accuracy was observed with full, sparse, and truncated datasets.
- The mixed effects model required approximately half the sample size for comparing lipoprotein secretion.
Conclusions:
- Mixed effects models offer enhanced accuracy for lipoprotein kinetics analysis.
- This approach is efficient, requiring smaller sample sizes.
- The findings are significant for understanding metabolic disorders and cardiovascular disease.
Related Concept Videos
01:07Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance
384
Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
A recent model describes pravastatin's hepatobiliary excretion,...
384
01:24One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
1.4K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
1.4K
01:12Analysis of Population Pharmacokinetic Data
926
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
926
01:26Pharmacokinetic Models: Comparison and Selection Criterion
456
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
456
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
340
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...
340
01:20Pharmacokinetic Models: Overview
2.5K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
2.5K