Evidence map›Paper›PMID 29514065›Full record

ArticleCell metabolism2018

Paracrine Interactions within the Pancreatic Islet Determine the Glycemic Set Point.

Rayner Rodriguez-Diaz, R Damaris Molano, Jonathan R Weitz, Midhat H Abdulreda, Dora M Berman, Barbara Leibiger, Ingo B Leibiger, Norma S Kenyon, Camillo Ricordi, Antonello Pileggi and 2 more

Abstract read
In one paragraph

Article in Cell metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.

0numbers the graph read from it
0cells of the map it votes in
126citing 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

126 citing papers in PubMed.

  1. Article
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  12. Review
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  15. Article
  16. REVISITING GLUCAGON ACTION IN DIABETES: IS IT ALL BAD?Transactions of the American Clinical and Climatological Association · 2025
    Review
  17. Article
  18. Review
  19. Review
  20. Article

66 more citing papers are in PubMed but not listed here.

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

12 authors.

Rayner Rodriguez-DiazDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, 1580 NW 10(th) Avenue, Miami, FL 33136, USA; Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; The Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet, Stockholm 17177, Sweden. Electronic address: r.diaz4@med.miami.edu.
R Damaris MolanoDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Jonathan R WeitzDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, 1580 NW 10(th) Avenue, Miami, FL 33136, USA.
Midhat H AbdulredaDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Dora M BermanDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Barbara LeibigerThe Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet, Stockholm 17177, Sweden.
Ingo B LeibigerThe Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet, Stockholm 17177, Sweden.
Norma S KenyonDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Camillo RicordiDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Antonello PileggiDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Alejandro CaicedoDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, 1580 NW 10(th) Avenue, Miami, FL 33136, USA; Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Physiology and Biophysics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; Program in Neuroscience, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. Electronic address: acaicedo@med.miami.edu.
Per-Olof BerggrenDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; The Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet, Stockholm 17177, Sweden; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Pancreatic Islet Biology and Diabetes Consortium, Imperial College, London, UK. Electronic address: per-olof.berggren@ki.se.

Funding

The delta cell as a key regulator of pancreatic islet biologyR01DK124527 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RODRIGUEZ-DIAZ, RAYNER · 2020 to 2024
$1.9M
The Role of Innervation for Hormone Secretion in Human IsletsR01DK084321 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CAICEDO, ALEJANDRO · 2011 to 2015
$1.8M
Harnessing Innervation to Promote Pancreatic Islet FunctionR01DK113093 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CAICEDO, ALEJANDRO · 2017 to 2020
$1.5M
Cholinergic signaling in the human pancreatic isletR01DK111538 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CAICEDO, ALEJANDRO · 2016 to 2018
$1.2M
The role of the delta cell in islet homeostasisR21DK114418 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RODRIGUEZ-DIAZ, RAYNER · 2017 to 2019
$576k
Imaging mitochondrial signaling in B-cells ectopically implanted in the eyeR21ES025673 · NIEHS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CAICEDO, ALEJANDRO, MORAES, CARLOS TORRES · 2015 to 2017
$569k
Role of macrophages in pancreatic islet graft rejectionK01DK097194 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ABDULREDA, MIDHAT H · 2013 to 2015
$415k
The Role of Innervation for Hormone Secretion in Human IsletsR56DK084321 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CAICEDO, ALEJANDRO · 2009 to 2016
$306k
Noninvasive two-photon imaging of pancreatic islet graft rejection in the eyeF32DK083226 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ABDULREDA, MIDHAT H · 2009 to 2011
$151k
NIDDK NIH HHS F32 DK083226NIDDK NIH HHS K01 DK097194NIDDK NIH HHS R01 DK084321NIDDK NIH HHS R01 DK111538NIDDK NIH HHS R01 DK113093NIDDK NIH HHS R01 DK124527NIDDK NIH HHS R21 DK114418NIDDK NIH HHS R56 DK084321NIEHS NIH HHS R21 ES025673
6 · The paper itself

Abstract

Every animal species has a signature blood glucose level or glycemic set point. These set points are different, and the normal glycemic levels (normoglycemia) of one species would be life threatening for other species. Mouse normoglycemia can be considered diabetic for humans. The biological determinants of the glycemic set point remain unclear. Here we show that the pancreatic islet imposes its glycemic set point on the organism, making it the bona fide glucostat in the body. Moreover, and in contrast to rodent islets, glucagon input from the alpha cell to the insulin-secreting beta cell is necessary to fine-tune the distinctive human set point. These findings affect transplantation and regenerative approaches to treat diabetes because restoring normoglycemia may require more than replacing only the beta cells. Furthermore, therapeutic strategies using glucagon receptor antagonists as hypoglycemic agents need to be reassessed, as they may reset the overall glucostat in the organism.

Indexed as

AnimalsDiabetes Mellitus, ExperimentalGlucagonGlucagon-Secreting CellsGlucoseHumansHypoglycemic AgentsInsulin-Secreting CellsIslets of Langerhans TransplantationMacaca fascicularisMiceMice, Inbred C57BLMice, NudeParacrine CommunicationReceptors, GlucagonGlucagonGlucoseHypoglycemic AgentsReceptors, Glucagonalpha cellbeta cellglucagonglucose homeostasisglycemiaglycemic set pointhumanized mousehuman pancreatic isletinsulin secretionparacrine signaling

Identifiers

PMID29514065
PMCPMC5872154

What OpenQuestion holds

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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.