ArticleLiver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society2016
Metabolic scaling predicts posthepatectomy liver regeneration after accounting for hepatocyte hypertrophy.
Article in Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Donor-specific digital twin for living donor liver transplant recovery.Biology methods & protocols · 2025Article
- From Seeing to Simulating: A Survey of Imaging Techniques and Spatially-Resolved Data for Developing Multiscale Computational Models of Liver Regeneration.Frontiers in systems biology · 2022Article
- Mathematical modeling reveals differential dynamics of insulin action models on glycerol and glucose in adolescent girls with obesity.Frontiers in physiology · 2022Article
- Model-based virtual patient analysis of human liver regeneration predicts critical perioperative factors controlling the dynamic mode of response to resection.BMC systems biology · 2019Article
- Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics.BMC systems biology · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We adapted a mathematical model of posthepatectomy liver regeneration using data from a subset of patients in the Adult-to-Adult Living Donor Liver Transplantation Cohort Study. The original model addressed changes in the number of quiescent, primed, and proliferating cells. Our adapted model takes into account hypertrophy of primed and replicating cells, and it is better able to predict liver volume. In addition, by building off the hypothesis that cell cycle parameters are approximately the same across all mammals, we found that changing only a single parameter characterizing metabolic load could model liver regeneration in 5 species of mammals. In conclusion, we improved a mathematical model of liver regeneration, predicted mammalian liver regeneration based on metabolism, and found correlations between model parameters and physiological measurements from liver donors.
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