MétaCan
Menu
Back to cohort
Record W2169224435 · doi:10.2310/7290.2014.00057

Synthesis and Evaluation of Optical and PET GLP-1 Peptide Analogues for GLP-1R Imaging

2015· article· en· W2169224435 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMolecular Imaging · 2015
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsLawson Health Research Institute
FundersCanadian Institutes of Health Research
KeywordsPeptideGlucagon-like peptide-1ChemistryOptical imagingBiophysicsBiochemistryMedicineBiologyEndocrinologyPhysicsOptics

Abstract

fetched live from OpenAlex

A fluorescein-GLP-1 (7-37) analog was generated to determine GLP-1R distribution in various cell types of the pancreas in both strains of mice and receptor-specific uptake was confirmed by blocking with exendin-4. Biodistribution studies were carried out using 68Ga-labeled GLP-1(7-37) peptides in CD1 and C57BL/6 mice. In addition, immunocompromised mice bearing GLP-1R-expressing insulinomas were evaluated by positron emission tomography (PET) imaging and ex vivo biodistribution studies. The optical GLP-1 probe strongly colocalized with immunofluorescence for insulin and glucagon, and more weakly with amylase (exocrine pancreas) and cytokeratin 19 (ductal cells), confirming its application for in situ GLP-1R imaging in various pancreatic cell types. Insulinomas were clearly visualized by in vivo PET. Reducing the peptide positive charge decreased renal retention as well as tumor uptake. Results demonstrate the application of the developed GLP-1 peptide analogues for in situ (optical) and in vivo (PET) imaging of GLP-1R expression.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.302
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it