Evidence map›Paper›PMID 24760991›Full record

ArticleAmerican journal of physiology. Endocrinology and metabolism2014

Automated quantification of pancreatic β-cell mass.

Maria L Golson, William S Bush, Marcela Brissova

Abstract read
In one paragraph

Article in American journal of physiology. Endocrinology and metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Journal of nutrition and metabolism · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Determination of Optimal Sample Size for Quantification of β-Cell Area, Amyloid Area and β-Cell Apoptosis in Isolated Islets.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2015
    Article
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

3 authors.

Maria L GolsonDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; and.
William S BushCenter for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee.
Marcela BrissovaDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; and marcela.brissova@vanderbilt.edu.

Funding

Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALVIN C POWERS · 2012 to 2026
$29.3M
TRANSGENIC MOUSE/ ES CELL SHARES RESOURCESP60DK020593 · NIDDK · VANDERBILT UNIVERSITY · PI POWERS, ALVIN C · 1986 to 2011
$28.1M
Molecular Mechanisms of Human and Murine Beta Cell Proliferation and RegenerationU01DK089572 · NIDDK · VANDERBILT UNIVERSITY · PI GREINER, DALE LESLIE, HARLAN, DAVID MARSHALL · 2010 to 2014
$8.4M
Multi-Disciplinary Approaches to Driving Therapeutic Human Beta Cell ReplicationU01DK089538 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEWART, ANDREW F. · 2010 to 2014
$3.6M
GLP-1 to Enhance Islet TransplantationR33DK066636 · NIDDK · VANDERBILT UNIVERSITY · PI POWERS, ALVIN C · 2005 to 2007
$1.5M
VEGF and Islet VascularizationR01DK069603 · NIDDK · VANDERBILT UNIVERSITY · PI POWERS, ALVIN C · 2005 to 2010
$1.3M
Molecular Determinants of Vascularization in IsletsR21DK063439 · NIDDK · VANDERBILT UNIVERSITY · PI POWERS, ALVIN CARTER · 2002 to 2003
$755k
GLP-1 to Enhance Islet TransplantationR21DK066636 · NIDDK · VANDERBILT UNIVERSITY · PI POWERS, ALVIN CARTER · 2003 to 2004
$722k
Pancreatic Islet Imaging and Blood FlowR01DK068764 · NIDDK · VANDERBILT UNIVERSITY · PI POWERS, ALVIN CARTER · 2004 to 2005
$529k
NIDDK NIH HHS DK-20593NIDDK NIH HHS DK-63439NIDDK NIH HHS DK-66636NIDDK NIH HHS DK-68764NIDDK NIH HHS DK-69603NIDDK NIH HHS DK-72473NIDDK NIH HHS DK-89538NIDDK NIH HHS DK-89572NIDDK NIH HHS P30 DK020593
6 · The paper itself

Abstract

β-Cell mass is a parameter commonly measured in studies of islet biology and diabetes. However, the rigorous quantification of pancreatic β-cell mass using conventional histological methods is a time-consuming process. Rapidly evolving virtual slide technology with high-resolution slide scanners and newly developed image analysis tools has the potential to transform β-cell mass measurement. To test the effectiveness and accuracy of this new approach, we assessed pancreata from normal C57Bl/6J mice and from mouse models of β-cell ablation (streptozotocin-treated mice) and β-cell hyperplasia (leptin-deficient mice), using a standardized systematic sampling of pancreatic specimens. Our data indicate that automated analysis of virtual pancreatic slides is highly reliable and yields results consistent with those obtained by conventional morphometric analysis. This new methodology will allow investigators to dramatically reduce the time required for β-cell mass measurement by automating high-resolution image capture and analysis of entire pancreatic sections.

Indexed as

Models, BiologicalAnimalsArtificial IntelligenceAutomation, LaboratoryCell SizeComputational BiologyDiabetes Mellitus, ExperimentalExpert SystemsHyperplasiaImage Processing, Computer-AssistedInsulin-Secreting CellsMiceMice, Inbred C57BLMice, Inbred StrainsMice, ObeseMicrotomyautomated analysisdiabetespancreatic isletsβ-cell mass

Identifiers

PMID24760991
PMCPMC4059986

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.