Evidence map›Paper›PMID 41036139›Full record

ArticleFrontiers in endocrinology2025

A mathematical model of insulin action on acinar tissue linking histology and radiological imaging of the pancreas.

John Virostko

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. 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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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

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

1 author.

John VirostkoDepartment of Diagnostic Medicine, Dell Medical School, University of Texas at Austin, Austin, TX, United States.

Funding

Diabetes Prediction During Pregnancy and In Utero Using Pancreas MRIR01HD115565 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI JOHN MICHAEL VIROSTKO · 2024 to 2026
$1.9M
Deep Learning of Pancreas MRI to Predict Progression of T1D.R03DK129979 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI VIROSTKO, JOHN MICHAEL · 2021 to 2022
$317k
NICHD NIH HHS R01 HD115565NIDDK NIH HHS R03 DK129979
6 · The paper itself

Abstract

The pancreas is smaller in individuals with type 1 and type 2 diabetes. The etiology of this reduced pancreatic volume is not fully understood, but it may be due to loss of insulin's trophic influence on exocrine pancreatic tissue. Supporting this, histological studies have identified a zone of acinar cell hypertrophy and hyperplasia surrounding pancreatic islets, putatively due to insulin action on peri-islet acinar tissue. This study develops a mathematical model of pancreas size incorporating beta cell density, beta cell clustering, and the magnitude and spatial extent of acinar cell expansion to estimate the relationship between beta cell mass and pancreas size. This model indicates that growth of acinar tissue surrounding the beta cell is sufficient to account for the smaller pancreas volume observed in individuals with diabetes. Furthermore, single beta cells and smaller beta cell clusters have a greater influence on pancreas size on a per cell basis, as larger islets have greater overlap in the zone of insulin action. Thus, changes in pancreas volume may be more sensitive to loss of single beta cells or small islets than larger islets. The model provides a conceptual framework linking histological and radiological imaging to better understand the relationship between pancreas volume and beta cell mass.

Indexed as

Acinar CellsDiabetes Mellitus, Type 2InsulinModels, BiologicalModels, TheoreticalPancreasAnimalsDiabetes Mellitus, Type 1HumansInsulin-Secreting CellsIslets of LangerhansInsulindiabetesendocrineexocrineisletsperi-insulartype 1 diabetesvolume

Identifiers

PMID41036139
PMCPMC12479337

What OpenQuestion holds

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LicenceCC BY
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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.