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SINGLE INJECTION OF INSULIN DELAYS THE RECURRENCE OF DIABETES IN SYNGENEIC ISLET-TRANSPLANTED DIABETIC NOD MICE 1

2000· article· en· W2036394476 on OpenAlexaff
Gina R. Rayat, Bhagirath Singh, Gregory S. Korbutt, Ray V. Rajotte

Bibliographic record

VenueTransplantation · 2000
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsWestern UniversityUniversity of Alberta
Fundersnot available
KeywordsNOD miceMedicineNodInsulinIsletDiabetes mellitusSalineRenal capsuleInternal medicineEndocrinologyAdjuvantKidneyType 1 diabetes

Abstract

fetched live from OpenAlex

BACKGROUND: Insulin has been implicated in the pathogenesis of type 1 diabetes and oral administration of insulin has been shown to delay the onset of diabetes in NOD mice. In this study we determined whether a single footpad injection of insulin will protect syngeneic islet grafts from autoimmune destruction when placed under the kidney capsule of diabetic NOD mice. METHODS: Five hundred islets were transplanted under the kidney capsule of diabetic female NOD mice in conjunction with a single footpad injection of either pork insulin in saline or mixed with incomplete Freund's adjuvant (IFA). Control groups received either IFA or saline alone. RESULTS: Seven of 11 animals (63.6%) given insulin in IFA exhibit long-term graft survival (>75 days; mean +/- SEM >85.4+/-16.1) whereas only 3 of 12 animals (25.0%) in the IFA group had graft survival longer than 75 days (mean +/- SEM >41.9+/-12.8 days). In contrast, none of the animals that received insulin in saline (17.3+/-2.5 days) and saline only (16.1+2.0 days) exhibit prolonged graft survival. CONCLUSION: These results suggest that a single footpad injection of insulin can protect the islet graft from immune attack in NOD mice.

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.

How this classification was reachedexpand

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2000
Admission routes1
Has abstractyes

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