MétaCan
Menu
Back to cohort

TRANSPLANTATION OF MICROENCAPSULATED PANCREATIC ISLETS IN NONIMMUNOSUPPRESSED DIABETIC RECIPIENTS.

2004· article· en· W1964002175 on OpenAlexaboutno aff
Giuseppe Basta, Giovanni Luca, G. Macchiarulo, Leda Racanicchi, L García Guido, Francesca Mancuso, P. Brunetti, Riccardo Calafiore

Bibliographic record

VenueTransplantation · 2004
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsCollagenaseIsletTransplantationIn vivoNodNOD miceIn vitroType 1 diabetesAndrologyPancreatic isletsDiabetes mellitusChemistryInsulinDigestion (alchemy)MedicineInternal medicineBiochemistryEndocrinologyBiologyChromatographyEnzymeBiotechnology

Abstract

fetched live from OpenAlex

P449 Aims: We aimed to bring our microencapsulated islet transplant system into human pilot clinical trials. To achieve this goal, we have addressed and thoroughly fulfilled a number of safety and efficacy issues, as far as both, chemical formulation and physics of the microcapsules, and the whole product (islets in microcapsules) were concerned, either in vitro or in vivo, post-transplant into pre-clinical animal models of diabetes. Methods: a) Microcapsules - Na alginate (AG), prevalently composed of mannuronic acid, underwent stepwise, multiple purification and ultrafiltration process, in order to remove endotoxins as well as other pyrogens and foreign microparticles. Poly-L-ornithine (PLO), at low molecular weight, as uniquely shown by our laboratory, was used to coat the initially formed AG gel beads. The latter, upon previous, careful mixing with the islet suspension, were obtained by a microdroplet generator, not involving use of electrostatic forces, but simply air shears and mechanical pressure; b) Islets – we separated/purified islets from the pancreas of either neonatal pigs (NPCC), or humans, by the classical collagenase digestion and COBE 2991 gradient purification, according to protocols developed by the Edmonton group, University of Alberta, Canada. The isolated islets were culture-maintained in HAM F12 for at least 24 hrs., prior to encapsulation, and underwent both morphologic (integrity, viability and immunocytochemistry) and functional (in vitro glucose stimulated insulin release) quality control testing; c) Experimental design – nonimmunosuppressed NOD mice and dogs with spontaneous, insulin-dependent diabetes were enrolled in the pre-clinical trials and were grafted intraperitoneally with microencapsulated either NPCC (NOD mice, dogs) or human (NOD) islets, with the post-TX blood glucose levels as well as daily insulin consumption rates being carefully monitored. Results: Our method resulted in endotoxin-free, highly purified AG. AG/PLO empty microcapsules did not provoke any inflammatory cell reaction upon intraperitoneal TX in NOD mice, with the microcapsules retaining full morphologic integrity and mechanical strenght, and containing viable islet cells. The transplanted NOD mice, with either human or NPCC encapsulated islets showed full remission of hyperglycemia that was sustained for at least 60 throughout 180 days. Transplanted dogs with NPCC showed remission of hyperglycemia coupled to substantial evidence of peripheral serum porcine C-peptide levels. Exogenous insulin withdrawal was achieved in one animal for 50 days, while its prolonged and sustained reduction was accomplished in all recipients. Conclusions: We have provided evidence that microencapsulated islets may represent a safe tool for transplantation with no recipient’s pharmacological immunosuppression. In vitro and preliminary in vivo pre-clinical results have warranted us permission, from the Italian Ministry of Health to embark on clinical trials of microencapsulated human islet allografts tha now are ready to begin.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueTransplantationSame topicPancreatic function and diabetesFrench-language works237,207