Impact of Slow Wave Abnormalities and Impaired Coordination of Pyloric Closure and Antral Contraction on Gastric Emptying: A Compartmental Modeling Study
Fernandes, S. Q.; Kothare, M. V.; Sclocco, R.; Mahmoudi, B.
Show abstract
PurposeTo develop a computationally efficient gastric compartmental model that simulates diseased stomach function by altering antral-pyloric coordination and "slow wave" properties. The model evaluates motility, gastric emptying and mixing. The computational efficiency of the model enables broad parameter sweeps to simulate various pathological conditions, offering an alternative to computationally expensive finite element or finite volume approaches. MethodsWe developed an extended compartmental model to simulate gastric function under dysrhythmic conditions. Building on prior work, this framework incorporates enhanced fluid flow equations and improved inter-compartment connectivity. These modifications enable simulation of impaired antro-pyloric coordination, regional variations in "slow wave" frequency (bradygastria, tachygastria), and reduced amplitude to mimic quiescent activity. Model outputs included gastric emptying rates, mixing efficiency, and transpyloric flow events across healthy and impaired conditions. ResultsSimulations demonstrated that abnormal "slow wave" frequency or amplitude delays gastric emptying and diminishes mixing efficiency. Bradygastria induced retrograde transpyloric flow, reflecting backflow from intestine to stomach, a pathological marker. These disruptions were most pronounced when antro-pyloric coordination was impaired. Predictions aligned with prior experimental and computational findings, while model execution was ~ 50-fold faster than real-time gastric dynamics, highlighting computational efficiency. ConclusionThis physiologically inspired compartmental model captures the impact of "slow wave" abnormalities on gastric motility. By reproducing impaired flow and mixing patterns characteristic of diseased states, it provides a valuable tool for probing mechanisms of gastric dysfunction. Importantly, its computational efficiency positions the model for use in developing and rapid testing of model-based, closed-loop neurostimulation therapies for gastrointestinal disorders.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pacemaking function of two simplified cell models 95%
- Effects of size and elasticity on the relation between flow velocity and wall shear stress in side-wall aneurysms: A lattice Boltzmann-based computer simulation study 93%
- A mechanical model of ocular bulb vibrations and implications for acoustic tonometry 93%
Similar papers in this journal
- Sensitivity and uncertainty analysis of two human atrial cardiac cell models using Gaussian process emulators 93%
- Discrete dynamic model of the mammalian sperm acrosome reaction: the influence of acrosomal pH and biochemical heterogeneity 93%
- Inferring Insulin Secretion Rate From Sparse Patient Glucose and Insulin Measures 92%
Similar papers in this journal
- Engaging Biological Oscillators through Second Messenger Pathways Permits Emergence of a Robust Gastric Slow-Wave during Peristalsis 95%
- Toward an optimal contraception dosing strategy 94%
- Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.