ArticlePLoS computational biology2019
A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Use of Metabotyping to Identify Individuals With Different Triglyceride Response Curves After Intake of High-Fat Meals.Molecular nutrition & food research · 2026Trial
- Triglyceride Accumulation in Adipocytes Modulated by Insulin Dynamics.International journal of molecular sciences · 2025Article
- A Systems Biology Approach Towards a Comprehensive Understanding of Ferroptosis.International journal of molecular sciences · 2024Article
- Model selection reveals selective regulation of blood amino acid and lipid metabolism by insulin in humans.iScience · 2024Article
- Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer.Endocrinology and metabolism (Seoul, Korea) · 2023Review
- Analysis of high-dimensional metabolomics data with complex temporal dynamics using RM-ASCA.PLoS computational biology · 2023Article
- Molecular tracking of insulin resistance and inflammation development on visceral adipose tissue.Frontiers in immunology · 2023Article
- Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model.iScience · 2022Article
- Metabolic flux between organs measured by arteriovenous metabolite gradients.Experimental & molecular medicine · 2022Review
- A systems biology analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue in vivo.PloS one · 2021Article
- Metabolic Modeling Combined With Machine Learning Integrates Longitudinal Data and Identifies the Origin of LXR-Induced Hepatic Steatosis.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the association of disturbances in non-esterified fatty acid (NEFA) metabolism with the development of Type 2 Diabetes and Non-Alcoholic Fatty Liver Disease, computational models of glucose-insulin dynamics have been extended to account for the interplay with NEFA. In this study, we use arteriovenous measurement across the subcutaneous adipose tissue during a mixed meal challenge test to evaluate the performance and underlying assumptions of three existing models of adipose tissue metabolism and construct a new, refined model of adipose tissue metabolism. Our model introduces new terms, explicitly accounting for the conversion of glucose to glyceraldehye-3-phosphate, the postprandial influx of glycerol into the adipose tissue, and several physiologically relevant delays in insulin signalling in order to better describe the measured adipose tissues fluxes. We then applied our refined model to human adipose tissue flux data collected before and after a diet intervention as part of the Yoyo study, to quantify the effects of caloric restriction on postprandial adipose tissue metabolism. Significant increases were observed in the model parameters describing the rate of uptake and release of both glycerol and NEFA. Additionally, decreases in the model's delay in insulin signalling parameters indicates there is an improvement in adipose tissue insulin sensitivity following caloric restriction.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.