Intestinal villi and crypts density maximizing nutrient absorption

TL;DR

This study models how the density of intestinal villi and crypts affects nutrient absorption, revealing an optimal density that balances increased surface area with diffusion limitations, supported by physiological data.

Contribution

The paper introduces an analytical and numerical model demonstrating a density-dependent optimality for intestinal structures, aligning with evolutionary data.

Findings

Optimal villi and crypt density maximizes absorption flux.

Physiological data from animals align with the predicted optimal density.

Higher density beyond the optimum hampers diffusion and reduces absorption efficiency.

Abstract

The villi and crypts of the gastrointestinal tract increase the effective surface area of the intestinal mucosa, potentially enhancing nutrient absorption. It is commonly assumed that this is their primary function, and that a higher villi density necessarily leads to improved absorption. However, when villi are packed too closely together, diffusion can be hindered, potentially offsetting this benefit. In this work, we investigate the relationship between the density of these structures and the overall efficiency of absorption. In three different simplified geometries, approximating crypts, leaf-like villi, and finger-like villi we calculate analytically the concentration profile and the absorption flux, assuming that there is only diffusion between these structures while the lumen is well mixed. When plotting the absorption flux per unit of gut length as a function of the structures' density, we observe that there is a density maximizing absorption. We study numerically this optimum. It depends weakly on the absorption properties of the given nutrient, so that a geometry optimal for one nutrient is close to optimum for another nutrient. Physiological data from various animal species align with this predicted optimal range and potentially reflect evolutionary selection for efficient nutrient uptake, supporting the model's validity.