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118.3: Intraportal transplantation of neonatal porcine islets cures diabetes mellitus of INSC94Y transgenic pigs

2023· article· en· W4387877493 on OpenAlexaboutno aff
Johanna Pilz, Nicol Gloddek, Daniel Puhr‐Westerheide, Muzzafer Ümütlü, Eckhard Wolf, Elisabeth Kemter

Bibliographic record

VenueTransplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsIsletTransplantationMedicineDiabetes mellitusXenotransplantationType 1 diabetesInternal medicineTacrolimusEndocrinologyGastroenterology

Abstract

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Introduction: Islet transplantation (Tx) is a promising strategy to cure type 1 diabetes. However, a broad clinical application is currently limited by a shortage of islet donors. A promising alternative islet source are pig islets. Development and validation of novel beta-cell replacement therapies are mainly examined in small animal models or in non-human primates (NHP), both associated with several limitations in translating findings to human patients. Therefore, a non-NHP large animal model for islet transplantation using diabetic INSC94Y transgenic pigs was established and used to evaluate the efficacy of intraportal neonatal porcine islet (NPI) transplantation. Methods: Minimal invasive percutaneous intraportal islet transplantation (PIPIT) was performed to transplant wild-type NPIs (3,300 – 9,700 IEQ/kg body weight) in diabetic INSC94Y transgenic pigs (n = 4) (1). Immunosuppressive regime was adapted from the Edmonton protocol. It consisted of tacrolimus (0.25 mg/kg BW) and mycophenolate mofetil (500 mg) every 12 hours orally, starting one day before transplantation. In addition, the pigs obtained a daily dose of acetylsalicylic acid (100 mg) as anti-platelet treatment. In the observation period, post transplantation fasting blood glucose values were examined on a regular basis. For animal welfare reasons exogenous insulin replacement therapy was performed according to the measured blood glucose values. After a post-transplantation monitoring period between 71 to 103 days, the liver was systematically processed for detailed histological analysis of graft clusters. Results: Three of four pigs which had received NPI grafts reached normoglycemia (<130 mg/dl glucose) after 2 months, thereof two without need of exogenous insulin therapy. These animals accepted oral immunosuppressive drug intake constantly and had a continuous decrease of blood glucose concentration, paralleled with reduced need of exogenous insulin therapy (Fig. 1). The fourth animal lowered blood glucose level constantly below 200 mg/dl after NPI transplantation. Histological analysis of graft-bearing livers revealed graft clusters of heterogenous size (19 µm x 44 µm – 250 µm x 453µm) mainly consisting of beta cells (Fig. 2), with a broad distribution over the transplanted liver lobe. In total, 72 paraffin-embedded liver slices per animal were analyzed with immunohistochemistry. On average, 41% of the examined slices contained islet cell clusters, of which Ø 69% were insulin positive. Conclusion: NPI grafts were able to restore normoglycemia in diabetic recipient pigs. Furthermore, islet Tx lowered or eliminated the need of exogenous insulin treatment. Therefore, this animal model is a novel tool in regenerative medicine to investigate islet cell transplantation settings with a high comparability to human islet cell transplantation.The study was supported by the Deutsche Forschungsgemeinschaft (TRR127) and the European Union’s Horizon 2020 research and innovation program under grant agreement No. 760986 (iNanoBIT). References: 1. (1) Renner, S., et al. (2013). “Permanent Neonatal Diabetes in INSC94Y Transgenic Pigs.” Diabetes 62(5): 1505-1511.

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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.015
GPT teacher head0.257
Teacher spread0.243 · 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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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