Evidence map›Paper›PMID 40053535›Full record

ArticlePLoS computational biology2025

Mathematical modeling reveals ferritin as the strongest cellular driver of dietary iron transfer block in enterocytes.

Joseph Masison, Pedro Mendes

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

2 authors.

Joseph MasisonCenter for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, Connecticut, United States of America.
Pedro MendesCenter for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, Connecticut, United States of America.ORCID 0000-0001-6507-9168

Funding

Mechanistic Modeling of Cellular SystemsR24GM137787 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Pedro Mendes, Ion I. Moraru · 2020 to 2026
$8.9M
NIGMS NIH HHS R24 GM137787
6 · The paper itself

Abstract

Intestinal mucosal block is the transient reduction in iron absorption ability of intestinal epithelial cells (enterocytes) in response to previous iron exposures that occur at the cell scale. The block characteristics have been shown to depend both on iron exposure magnitude and temporality, and understanding block control will enable deeper understanding of how intestinal iron absorption contributes to pathological iron states. Three biochemical mechanisms implicated in driving the block behavior are divalent metal transporter 1 endocytosis, ferritin iron sequestration, and iron regulatory protein regulation of iron related protein expression. In this work, a model of enterocyte iron metabolism is built based on published experimental data that is capable of reproducing the mucosal block phenomena. The model is then used to estimate the quantitative contribution of each of the three mechanisms on the properties of the mucosal block. Analysis reveals that ferritin and iron regulatory proteins are the main intracellular mechanisms contributing to the mucosal block, findings congruent with experimental predictions. Lastly, DMT1 endocytosis is shown to play a role in limiting total iron uptake by enterocytes but does not contribute to the decrease in total iron transfer across their basal membrane seen in the mucosal block.

Indexed as

EnterocytesFerritinsIronIron, DietaryModels, BiologicalAnimalsCation Transport ProteinsEndocytosisHumansIntestinal AbsorptionIntestinal MucosaSolute Carrier Family 11, Member 2Cation Transport ProteinsFerritinsIronIron, DietarySolute Carrier Family 11, Member 2

Identifiers

PMID40053535
PMCPMC11918390

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Registered trials

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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.