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Immunoprotection of rat islet xenografts by cotransplantation with sertoli cells and a single injection of antilymphocyte serum1

2003· article· en· W2021893171 on OpenAlexaff
Jannette M. Dufour, Ray V. Rajotte, Tatsuya Kin, Gregory S. Korbutt

Bibliographic record

VenueTransplantation · 2003
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSertoli cellIsletImmunosuppressionTransplantationInternal medicineMedicineEndocrinologyAndrologyBiologyDiabetes mellitusSpermatogenesis

Abstract

fetched live from OpenAlex

BACKGROUND: Islet transplantation has become a clinical reality; however, before it can be extended to young juvenile diabetics an unlimited supply of tissue is needed and the use of chronic immunosuppression should be eliminated. This study was designed to determine whether Sertoli cells can immunoprotect islet xenografts. METHODS: Lewis rat islets were cotransplanted with Balb/c Sertoli cells in diabetic Balb/c mice treated with one injection of anti-mouse lymphocyte serum (ALS). RESULTS: When islets were transplanted alone, in combination with Sertoli cells, or in combination with ALS, mean graft survival times were 10.9+/-0.8, 14.0+/-1.2, or 12.2+/-0.7, respectively. When islets were combined with Sertoli cells and ALS, mean graft survival time increased to 64.9+/-8.1. CONCLUSIONS: Sertoli cells are able to prolong the survival of islet xenografts when combined with ALS, thereby supporting their use as a means to immunoprotect cellular grafts such as islets for the treatment of type 1 diabetes.

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 score0.012
Threshold uncertainty score0.448

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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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

Citations72
Published2003
Admission routes1
Has abstractyes

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