Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

38
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...
38
Metabolic States of the Body: The Absorptive State01:25

Metabolic States of the Body: The Absorptive State

683
During the absorptive state, which lasts approximately four hours after a meal, the body absorbs nutrients from the gastrointestinal tract. The carbohydrates, proteins, and lipids we consume are broken down into monosaccharides, amino acids, and free fatty acids for absorption. While carbohydrates and proteins are absorbed as-is, lipids are absorbed in their broken-down forms and then re-esterified into triglycerides within enterocytes before being packaged into chylomicrons. These absorbed...
683
Metabolic States of the Body: The Postabsorptive State01:18

Metabolic States of the Body: The Postabsorptive State

302
The postabsorptive state usually starts about four hours after a meal and lasts until the next meal is eaten. During this time, the digestive system stops absorbing nutrients, and the body uses stored energy reserves to maintain stable blood glucose levels.
Initially, glycogen stored in the liver is broken down to release glucose into the bloodstream, while glycogen in the muscles is broken down to supply glucose for energy directly within the muscle cells. As glycogen stores diminish,...
302

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Triple A syndrome with a new mutation pattern, first documented case in Austria: a case report with literature review.

Orphanet journal of rare diseases·2026
Same author

Extracting host-specific developmental signatures from longitudinal microbiome data.

PLoS computational biology·2026
Same author

Fish oil-derived fatty acids during pregnancy and risk of neurodevelopmental disorders in children at age 10 - A randomized controlled trial.

Translational psychiatry·2026
Same author

Maternal antibiotic exposure alters the newborn metabolomic profile and increases the risk of respiratory infections in offspring: a 13-year longitudinal birth cohort study.

The Journal of allergy and clinical immunology·2026
Same author

Night-to-Night Sleep Duration and Wake-Anchored Glycaemia: Associations with Continuous Glucose Monitoring in Free-Living Adolescents.

Sleep·2026
Same author

Childhood haematological and immunoglobulin trajectories and risk of asthma at 18 years.

Thorax·2026

Related Experiment Video

Updated: Jun 26, 2025

Using a Combination of Indirect Calorimetry, Infrared Thermography, and Blood Glucose Levels to Measure Brown Adipose Tissue Thermogenesis in Humans
04:54

Using a Combination of Indirect Calorimetry, Infrared Thermography, and Blood Glucose Levels to Measure Brown Adipose Tissue Thermogenesis in Humans

Published on: June 2, 2023

1.4K

Characterizing human postprandial metabolic response using multiway data analysis.

Shi Yan1, Lu Li1, David Horner2

  • 1Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.

Metabolomics : Official Journal of the Metabolomic Society
|May 9, 2024
PubMed
Summary
This summary is machine-generated.

This study used advanced tensor factorization to analyze postprandial metabolomics data, revealing dynamic metabolic markers related to body mass index (BMI) in males. These findings enhance understanding of human metabolism after meals.

Keywords:
CANDECOMP/PARAFACChallenge testsDynamic metabolomics dataTensor factorizations

More Related Videos

Body Composition and Metabolic Caging Analysis in High Fat Fed Mice
10:28

Body Composition and Metabolic Caging Analysis in High Fat Fed Mice

Published on: May 24, 2018

15.5K
Progressive-ratio Responding for Palatable High-fat and High-sugar Food in Mice
11:16

Progressive-ratio Responding for Palatable High-fat and High-sugar Food in Mice

Published on: May 3, 2012

22.1K

Related Experiment Videos

Last Updated: Jun 26, 2025

Using a Combination of Indirect Calorimetry, Infrared Thermography, and Blood Glucose Levels to Measure Brown Adipose Tissue Thermogenesis in Humans
04:54

Using a Combination of Indirect Calorimetry, Infrared Thermography, and Blood Glucose Levels to Measure Brown Adipose Tissue Thermogenesis in Humans

Published on: June 2, 2023

1.4K
Body Composition and Metabolic Caging Analysis in High Fat Fed Mice
10:28

Body Composition and Metabolic Caging Analysis in High Fat Fed Mice

Published on: May 24, 2018

15.5K
Progressive-ratio Responding for Palatable High-fat and High-sugar Food in Mice
11:16

Progressive-ratio Responding for Palatable High-fat and High-sugar Food in Mice

Published on: May 3, 2012

22.1K

Area of Science:

  • Metabolomics
  • Systems biology
  • Human metabolism

Background:

  • Time-resolved metabolomics data offers insights into human metabolic responses to meals.
  • Traditional analysis methods often use summaries or focus on single metabolites, limiting comprehensive understanding.
  • Understanding individual metabolic variability post-meal is crucial for personalized health insights.

Purpose of the Study:

  • To comprehensively picture metabolic changes after a meal challenge.
  • To identify static and dynamic markers of phenotypes, including subject stratification and metabolite clusters.
  • To reveal temporal profiles of metabolites and their relation to metabolic responses.

Main Methods:

  • Analysis of Nuclear Magnetic Resonance (NMR) spectroscopy data from 299 individuals in the COPSAC2000 cohort.
  • Utilized Nightingale NMR panel for plasma samples at fasting and multiple postprandial time points.
  • Employed Principal Component Analysis (PCA) for static fasting data and CANDECOMP/PARAFAC (CP) tensor factorization for dynamic postprandial data.

Main Results:

  • Identified dynamic metabolic markers, including specific metabolite groups and temporal profiles, differentiating males by body mass index (BMI) post-meal.
  • Demonstrated that lipoproteins influence group differences differently in fasting versus dynamic states.
  • Observed similar dynamic metabolic patterns in males and females, but BMI-related differences were unique to males in the dynamic state.

Conclusions:

  • CANDECOMP/PARAFAC (CP) tensor factorization is effective for analyzing time-resolved postprandial metabolomics data.
  • The CP model provides a concise yet comprehensive summary, revealing interpretable dynamic markers.
  • This approach advances the understanding of metabolic changes following meal challenges.