Evidence map›Paper›PMID 38485229›Full record

ArticleBMJ open diabetes research & care2024

A static glucose-stimulated insulin secretion (sGSIS) assay that is significantly predictive of time to diabetes reversal in the human islet bioassay.

Ruth Damaris Molano, Antonello Pileggi, Hubert M Tse, Cherie L Stabler, Christopher A Fraker

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Ruth Damaris MolanoCell Transplant Center, Diabetes Research Institute, University of Miami, Coral Gables, Florida, USA.ORCID 0009-0005-7291-3380
Antonello PileggiCell Transplant Center, Diabetes Research Institute, University of Miami, Coral Gables, Florida, USA.ORCID 0000-0001-7819-2813
Hubert M TseMicrobiology, Molecular Genetics, and Immunology, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0001-5861-7597
Cherie L Stabler *Department of Biomedical Engineering, University of Miami, Coral Gables, Florida, USA.ORCID 0000-0003-0573-0646
Christopher A Fraker *Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, Florida, USA cfraker@med.miami.edu.ORCID 0000-0002-2010-0573
University of Miami · USUniversity of Kansas Medical Center · US

Funding

Optimizing encapsulation to treat Type 1 diabetes mellitus: the role of oxygenation, antigen shedding and innate immune response in graft successR01DK116875 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI FRAKER, CHRISTOPHER ALAN · 2019 to 2024
$2.0M
NIDDK NIH HHS R01 DK116875
6 · The paper itself

Abstract

introductionStatic incubation (static glucose-stimulated insulin secretion, sGSIS) is a measure of islet secretory function. The Stimulation Index (SI; insulin produced in high glucose/insulin produced in low glucose) is currently used as a product release criterion of islet transplant potency. RESEARCH DESIGN AND

methodsOur hypothesis was that the Delta, insulin secreted in high glucose minus insulin secreted in low glucose, would be more predictive. To evaluate this hypothesis, sGSIS was performed on 32 consecutive human islet preparations, immobilizing the islets in a slurry of Sepharose beads to minimize mechanical perturbation. Simultaneous full-mass subrenal capsular transplants were performed in chemically induced diabetic immunodeficient mice. Logistic regression analysis was used to determine optimal cut-points for diabetes reversal time and the Fisher Exact Test was used to assess the ability of the Delta and the SI to accurately classify transplant outcomes. Receiver operating characteristic curve analysis was performed on cut-point grouped data, assessing the predictive power and optimal cut-point for each sGSIS potency metric. Finally, standard Kaplan-Meier-type survival analysis was conducted.

resultsIn the case of the sGSIS the Delta provided a superior islet potency metric relative to the SI.

Indexed as

Diabetes MellitusIslets of LangerhansIslets of Langerhans TransplantationAnimalsBiological AssayGlucoseHumansInsulinInsulin SecretionMiceGlucoseInsulinInsulin SecretionIslets of Langerhans Transplantation

Identifiers

PMID38485229
PMCPMC10941118
OpenAlexW4392825080

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.