Evidence map›Paper›PMID 23648896›Full record

ArticleIslets

Small human islets comprised of more β-cells with higher insulin content than large islets.

Bilal Farhat, Akshay Almelkar, Karthik Ramachandran, S Janette Williams, Han-Hung Huang, David Zamierowksi, Lesya Novikova, Lisa Stehno-Bittel

Abstract readComparative Study
In one paragraph

Article in Islets. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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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

8 authors.

Bilal FarhatSchool of Medicine, University of Kansas Medicine Center, Kansas City, KS, USA.
Akshay Almelkar
Karthik Ramachandran
S Janette Williams
Han-Hung Huang
David Zamierowksi
Lesya Novikova
Lisa Stehno-Bittel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the past 30 years, data have suggested that unique islet populations exist, based on morphology and glucose sensitivity. Yet little has been done to determine the mechanism of these functional differences. The purpose of this study was to determine whether human islets were comprised functionally unique populations, and to elucidate a possible mechanism. Islets or pancreatic sections from 29 human donors were analyzed. Islets were isolated and measured for insulin secretion, cell composition and organization, insulin and glucagon granule density and insulin content. Insulin secretion was significantly greater in small compared with large islets. In sectioned human pancreata, β-cells comprised a higher proportion of the total endocrine cells in small islets (63%) than large islets (39%). A higher percentage of β-cells in small islets contacted blood vessels (44%) compared with large islets (31%). Total insulin content of isolated human islets was significantly greater in the small (1323 ± 512 μIU/IE) compared with large islets (126 ± 48 μIU/IE). There was less immunostaining for insulin in the large islets from human pancreatic sections, especially in the core of the islet, compared with small islets. The results suggest that differences in insulin secretion between large and small islets may be due to a higher percentage of β-cells in small islets with more β-cells in contact with blood vessels and a higher concentration of insulin/β-cell in small islets.

Indexed as

Up-RegulationAdultCell CountFemaleGlucagonGlucagon-Secreting CellsHumansHyperglycemiaImmunohistochemistryInsulinInsulin-Secreting CellsInsulin SecretionIslets of LangerhansMaleMicroscopy, Electron, TransmissionMiddle AgedGlucagonInsulinProinsulinSomatostatinblood vesselsglucagonhumaninsulinislet morphologyisletslymphaticsα-cellβ-cell

Identifiers

PMID23648896
PMCPMC4204020

What OpenQuestion holds

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LicenceCC BY-NC
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.