Evidence map›Paper›PMID 42079246›Full record

ArticlebioRxiv : the preprint server for biology2026

A Biophysical Model of Human Colonic Motor Pattern Generation in Health and Disease.

Ahilan Anantha Krishnan, Phil G Dinning, Maria A Holland

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ahilan Anantha KrishnanDepartment of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, 46556, IN, USA.
Phil G DinningDepartment of Surgery, Flinders Medical Centre, Bedford Park, 5042, SA, Australia.
Maria A HollandDepartment of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, 46556, IN, USA.

Funding

Computational Biomechanics Modeling of InflammationR35GM147029 · NIGMS · UNIVERSITY OF NOTRE DAME · PI Maria Holland · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147029
6 · The paper itself

Abstract

Purpose: Colonic motility disorders, including diarrhea-predominant irritable bowel syndrome and slow-transit constipation, impose a major clinical burden. Although high-resolution colonic manometry reveals characteristic spatiotemporal motor patterns, such as high-amplitude propagating contractions and cyclic motor pattern in healthy individuals, these patterns are often altered or absent in disease. Understanding how these patterns arise from underlying pacemaker, neural, and mechanical mechanisms is essential for improving treatment strategies. Methods: We developed a biophysical whole-colon model that integrates an Interstitial Cells of Cajal-inspired oscillator network, enteric nervous system reflexes, a pressure-gated modulation element motivated by rectosigmoid brake behavior, and a nonlinear tube law describing colon wall mechanics. The model simulates spatiotemporal pressure patterns along the colon and allows systematic variation of physiological parameters associated with pacemaker activity, neural reflex control, and distal gating. Results: A small set of parameters reproduces three illustrative motility patterns corresponding to healthy motility, diarrhea-predominant irritable bowel syndrome, and slow-transit constipation. The simulated pressure maps recapitulate key features observed in high-resolution manometry, including propagation direction, regional patterning of contractions, and case-specific changes in amplitude and coordination. Sensitivity analysis suggests that proximal excitation strength and waveform morphology strongly influence global motility metrics. Conclusion: Our study presents a simple, biophysical framework for reproducing clinically observed colonic motor patterns and exploring their disruption in disease. More broadly, the model may help interpret clinical manometry in mechanistic terms and support hypothesis-driven

Indexed as

biophysical modelingColon motilitydiarrhea-predominant irritable bowel syndromeManometryslow-transit constipation

Identifiers

PMID42079246
PMCPMC13131662

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LicenceCC BY-NC-ND
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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.