Evidence map›Paper›PMID 18406351›Full record

ArticleBiochemical and biophysical research communications2008

Insulin-secreting L-cells for the treatment of insulin-dependent diabetes.

Heather Bara, Athanassios Sambanis

Open access · greenAbstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Reprogramming Cells to Make Insulin.Journal of the Endocrine Society · 2019
    Review
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  4. Article
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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

2 authors at 1 institution in 1 country.

Heather BaraWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 315 Ferst Drive, IBB Building, Room 1306, Atlanta, GA 30332, USA.
Athanassios Sambanis
Georgia Institute of Technology · US

Funding

Tissue Engineered Substitute Based On A System Of Autologous CellsR01DK076801 · NIDDK · GEORGIA INSTITUTE OF TECHNOLOGY · PI SAMBANIS, ATHANASSIOS · 2007 to 2011
$1.4M
NIDDK NIH HHS R01 DK076801NIDDK NIH HHS R01DK076801
6 · The paper itself

Abstract

Cell-based treatments for insulin-dependent diabetes (IDD) may provide more physiologic regulation of blood glucose levels than daily insulin injections, thereby reducing the occurrence of secondary complications associated with diabetes. An autologous cell source is especially attractive for regulatory and ethical reasons in addition to eliminating the need for immunosuppression. This study uses non-beta-cells, genetically modified for physiologic insulin secretion. Enteroendocrine L-cells, exhibit regulated secretion in response to physiologic stimuli and their endogenous products are fully compatible with prandial metabolism. Murine GLUTag L-cells were transfected with a plasmid co-expressing human insulin and neomycin resistance and the stable cell line, GLUTag-INS, was established. Secretion properties of GLUTag-INS cells were investigated in vitro through induced secretion tests using meat hydrolysate or 3-isobutyl-1-methylxanthine and forskolin as secretagogues. GLUTag-INS cells rapidly co-secreted recombinant insulin and endogenous glucagon-like peptide in response to metabolic cues from the surrounding medium and demonstrated efficient processing of proinsulin to insulin.

Indexed as

1-Methyl-3-isobutylxanthineAnimalsCell LineColforsinDiabetes MellitusDrug ResistanceGlucagon-Like Peptide 1HumansInsulinInsulin-Secreting CellsInsulin SecretionMiceNeomycinProinsulinTransfection1-Methyl-3-isobutylxanthineColforsinGlucagon-Like Peptide 1InsulinNeomycinProinsulin

Identifiers

PMID18406351
PMCPMC2698788
OpenAlexW2097132549

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.