Evidence map›Paper›PMID 22504860›Full record

ReviewIslets

Mathematical models of pancreatic islet size distributions.

Junghyo Jo, Manami Hara, Ulf Ahlgren, Robert Sorenson, Vipul Periwal

Abstract readReview
In one paragraph

Review in Islets. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Review
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  8. CD8Frontiers in immunology · 2021
    Article
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  16. Review
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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

5 authors.

Junghyo JoLaboratory of Biological Modeling; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Bethesda, MD USA.
Manami HaraDepartment of Medicine; The University of Chicago; Chicago, IL USA.
Ulf AhlgrenUmeå Center for Molecular Medicine; Umeå University; Umeå, Sweden.
Robert SorensonDepartment of Genetics, Cell Biology and Development; University of Minnesota Medical School; Minneapolis, MN USA.
Vipul PeriwalLaboratory of Biological Modeling; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Bethesda, MD USA.

Funding

Growth and development of islets and beta-cells in the pancreasZIADK075038 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI PERIWAL, VIPUL · 2009 to 2017
$1.5M
Intramural NIH HHS
6 · The paper itself

Abstract

The islets of Langerhans, ranging in size from clusters of a few cells to several thousand cells, are scattered near large blood vessels. While the β-cell mass in mammals is proportional to body weight, the size ranges of islets are similar between species with different body sizes, possibly reflecting an optimal functional size. The large range of islet sizes suggests a stochastic developmental process. It is not fully understood how islets develop to reach such size distributions, and how their sizes change under certain physiological and pathological conditions such as development, pregnancy, aging, obesity, and diabetes. The lack of a high-resolution in vivo imaging technique for pancreatic islets implies that the only data available to elucidate the dynamics of islet development are cross-sectional quantifications of islet size distributions. In this review, we infer biological processes affecting islet morphology in the large by examining changes of islet size distributions. Neonatal islet formation and growth is shown as a particular example of developing a mathematical model of islet size distribution. Application of this modeling to elucidate islet changes under other conditions is also discussed.

Indexed as

Models, BiologicalModels, TheoreticalAgingDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansIslets of LangerhansObesityOrgan SizePregnancyagingdevelopmentdiabetesimagingislet size distributionMathematical modelingpregnancy

Identifiers

PMID22504860
PMCPMC3365800

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.