Evidence map›Paper›PMID 22928569›Full record

ReviewDiabetes, obesity & metabolism2012

Neurofunctional imaging of β-cell dynamics.

P E Harris, R L Leibel

Abstract readReview
In one paragraph

Review in Diabetes, obesity & metabolism, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Molecular imaging of β-cells: diabetes and beyond.Advanced drug delivery reviews · 2019
    Review
  2. Review
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

P E HarrisDivision of Endocrinology, Department of Medicine, The Naomi Berrie Diabetes Center and Columbia University College of Physicians and Surgeons, New York, NY, USA. peh1@columbia.edu
R L Leibel
Columbia University · US

Funding

Translational Biomarker Analytical Core (TBAC)P30DK063608 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Rebecca Anne Haeusler, Utpal Pajvani · 2003 to 2026
$36.7M
The molecular genetic analysis of human obesityR01DK052431 · NIDDK · ROCKEFELLER UNIVERSITY · PI CHUNG, WENDY K, LEIBEL, RUDOLPH L · 1996 to 2020
$11.6M
Leptin in Human Energy and Neuroendocrine HomeostasisR01DK064773 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEIBEL, RUDOLPH L · 2003 to 2013
$3.3M
Human Islet Antigen Discovery and ImagingR01DK063567 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HARRIS, PAUL E · 2002 to 2012
$2.7M
PET imaging of human beta cell massR01DK077493 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HARRIS, PAUL E · 2006 to 2008
$1.7M
NIDDK NIH HHS 5 R01 DK063567NIDDK NIH HHS P30 DK063608NIDDK NIH HHS P30 DK63608NIDDK NIH HHS R01 DK052431NIDDK NIH HHS R01 DK063567NIDDK NIH HHS R01 DK064773NIDDK NIH HHS R01 DK077493
6 · The paper itself

Abstract

Here, we outline how islet cells use autocrine and paracrine 'circuits' of classical neurotransmitters and their corresponding receptors and transporters to communicate with vicinal β-cells to regulate glucose-stimulated insulin secretion. Many of these same circuits operate in the central nervous system and can be visualized by molecular imaging. We discuss how these techniques might be applied to measuring the dynamics of β-cell function in real time.

Indexed as

AnimalsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2HumansInsulinInsulin SecretionIslets of LangerhansMolecular ImagingNeuropeptidesPositron-Emission TomographyRatsRNA, MessengerTranscription, GeneticInsulinNeuropeptidesRNA, Messenger

Identifiers

PMID22928569
PMCPMC3688455
OpenAlexW2159737870

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.