Evidence map›Paper›PMID 29180621›Full record

ArticleScientific reports2017

Quantitative analysis of intra- and inter-individual variability of human beta-cell mass.

Scott K Olehnik, Jonas L Fowler, Gil Avramovich, Manami Hara

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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  10. Article
  11. Article
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  15. Review
  16. Dynamin deficiency causes insulin secretion failure and hyperglycemia.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Pancreatic β-cell heterogeneity in health and diabetes: classes, sources, and subtypes.American journal of physiology. Endocrinology and metabolism · 2021
    Review
  18. Review
  19. Article
  20. 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

4 authors.

Scott K OlehnikDepartment of Medicine, The University of Chicago, Chicago, Illinois, 60637, USA.
Jonas L FowlerDepartment of Medicine, The University of Chicago, Chicago, Illinois, 60637, USA.
Gil AvramovichDepartment of Medicine, The University of Chicago, Chicago, Illinois, 60637, USA.
Manami HaraDepartment of Medicine, The University of Chicago, Chicago, Illinois, 60637, USA. mhara@uchicago.edu.

Funding

Coordinating Center for Beta Cell Biology ConsortiumU01DK072473 · NIDDK · VANDERBILT UNIVERSITY · PI MAGNUSON, MARK A · 2005 to 2014
$61.0M
TRANSGENIC COREP60DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI BELL, GRAEME I · 1985 to 2012
$25.5M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2013 to 2026
$20.9M
Quantitative analysis of aging in the human pancreasR03AG042151 · NIA · UNIVERSITY OF CHICAGO · PI HARA, MANAMI · 2012 to 2013
$154k
NIA NIH HHS R03 AG042151NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P60 DK020595NIDDK NIH HHS U01 DK072473
6 · The paper itself

Abstract

Pancreatic beta-cell mass is a critical determinant of the progression of diabetes. The loss of beta-cells in various types of diabetes has been documented in comparison to age, sex and body mass index (BMI) matched control subjects. However, the underlying heterogeneity of beta-cell mass in healthy individuals has not been considered. In this study, the inter-individual heterogeneity in beta-cell/islet mass was examined among 10 cases of age-matched non-diabetic male subjects in relation to BMI, pancreas weight, and the percent ratio, volume and number of islets in the whole pancreas. Beta-cell/islet mass was measured using a large-scale unbiased quantification method. In contrast to previous studies, we found no clinically relevant correlation between beta-cell/islet mass and age, BMI or pancreas weight, with large differences in beta-cell/islet mass and islet number among the individuals. Our method extracts the comprehensive information out of individual pancreas providing multifaceted parameters to study the intrinsic heterogeneity of the human pancreas.

Indexed as

Biological Variation, IndividualCell CountAdultDiabetes Mellitus, Type 2FemaleGlucagon-Secreting CellsHumansImmunohistochemistryInsulin-Secreting CellsIslets of LangerhansMaleMicroscopy, ConfocalOrgan SizeSomatostatin-Secreting Cells

Identifiers

PMID29180621
PMCPMC5703964

What OpenQuestion holds

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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.