ArticlePLoS computational biology2022
Digital twin predicting diet response before and after long-term fasting.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Data, Process, and Data-Driven Representations of Digital Twins in Diabetes: Scoping Review.JMIR diabetes · 2026Review
- Applications of digital twin technology in cardiometabolic disease management: a scoping review.BMC medical informatics and decision making · 2026Article
- Systems biology during 20 years of PLoS Computational Biology.PLoS computational biology · 2026Article
- A digital twin framework for predicting and simulating type 2 diabetes onset using retrospective lifestyle data.Frontiers in digital health · 2026Article
- Advancing personalised and precision nutrition.Journal of nutritional science · 2026Review
- The role of digital twins in P4 medicine: A paradigm for modern healthcare.NPJ digital medicine · 2025Review
- A scoping review of human digital twins in healthcare applications and usage patterns.NPJ digital medicine · 2025Article
- Digital Twins for Clinical and Operational Decision-Making: Scoping Review.Journal of medical Internet research · 2025Article
- Digital twins in healthcare: a comprehensive review and future directions.Frontiers in digital health · 2025Review
- Definitions and Characteristics of Patient Digital Twins Being Developed for Clinical Use: Scoping Review.Journal of medical Internet research · 2024Article
- Evolution of digital twins in precision health applications: a scoping review study.Research square · 2024Article
- Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare.Biomedicines · 2024Review
- A physiologically-based digital twin for alcohol consumption-predicting real-life drinking responses and long-term plasma PEth.NPJ digital medicine · 2024Article
- A multi-scale digital twin for adiposity-driven insulin resistance in humans: diet and drug effects.Diabetology & metabolic syndrome · 2023Article
- Mechanistic model for human brain metabolism and its connection to the neurovascular coupling.PLoS computational biology · 2022Article
- A systems biology analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue in vivo.PloS one · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Today, there is great interest in diets proposing new combinations of macronutrient compositions and fasting schedules. Unfortunately, there is little consensus regarding the impact of these different diets, since available studies measure different sets of variables in different populations, thus only providing partial, non-connected insights. We lack an approach for integrating all such partial insights into a useful and interconnected big picture. Herein, we present such an integrating tool. The tool uses a novel mathematical model that describes mechanisms regulating diet response and fasting metabolic fluxes, both for organ-organ crosstalk, and inside the liver. The tool can mechanistically explain and integrate data from several clinical studies, and correctly predict new independent data, including data from a new study. Using this model, we can predict non-measured variables, e.g. hepatic glycogen and gluconeogenesis, in response to fasting and different diets. Furthermore, we exemplify how such metabolic responses can be successfully adapted to a specific individual's sex, weight, height, as well as to the individual's historical data on metabolite dynamics. This tool enables an offline digital twin technology.
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