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Immune mechanisms associated with the rejection of encapsulated neonatal porcine islet xenografts

2006· article· en· W2104054516 on OpenAlexafffund
Tsunehiro Kobayashi, George Harb, Ray V. Rajotte, Gregory S. Korbutt, Aaron G. Mallett, Hossein Arefanian, Dereck Mok, Gina R. Rayat

Bibliographic record

VenueXenotransplantation · 2006
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchDiabetes CanadaCanadian Diabetes Association
KeywordsImmune systemTransplantationIsletXenotransplantationCD8StreptozotocinMedicineLymph nodeAndrologyAdoptive cell transferT cellInternal medicineImmunologyEndocrinologyDiabetes mellitus

Abstract

fetched live from OpenAlex

BACKGROUND: The immune mechanisms associated with the rejection of microencapsulated neonatal porcine islets (NPI) are not clearly understood. Therefore, in this study we characterized the immune cells and molecules that are involved in this process by examining the microencapsulated NPI xenografts at various time points post-transplantation in B6 mice. METHODS: Microencapsulated NPI were transplanted into streptozotocin-induced diabetic immune-competent B6 and immune-deficient B6 rag-/- mice and blood glucose levels were monitored twice a week. Encapsulated NPI were then recovered from B6 mice at various time points post-transplantation to characterize the islets and immune response using immunohistochemical and RT-PCR analyses. To determine which T-cell subpopulation is important for the rejection of encapsulated NPI, B6 rag-/- mice with established microencapsulated NPI xenografts were reconstituted with either CD4(+) or CD8(+) T cells and a return to the diabetic state was noted. For controls, adoptive transfer experiments involved reconstitution of B6 rag-/- mice with established microencapsulated NPI with non-fractionated lymph node cells or non-reconstituted mice. RESULTS: All B6 recipients of microencapsulated NPI remained diabetic throughout the study while B6 rag-/- recipients achieved normoglycemia and maintained normoglycemia for up to 100 days post-transplantation. Encapsulated NPI recovered from B6 mice at early time points (day 7 and day 14) post-transplantation were surrounded with very few layers of immune cells that increased with time post-transplantation. The extent of cellular overgrowth on the surface of encapsulated NPI has a significant correlation with islet cell death and the presence of CD4(+) T cells, B cells and macrophages. Mouse IgG antibody and complement as well as cytokines [gamma-interferon (IFN-gamma), interleukin10 (IL10)] and chemokines (monocyte chemotactic protein-1 and macrophage inflammatory protein-1alpha and beta) were detected within the microcapsules at several time points post-transplantation suggesting that these molecules can traverse the microcapsule. Mouse anti-porcine IgG antibodies in recipient sera were found to peak at 30 days post-transplantation indicating leakage of porcine xenoantigens. In contrast, microencapsulated NPI recovered from B6 rag-/- mice had no cellular overgrowth on the surface. Complement and cytokines (IL 10 but not IFN-gamma) including chemokines were detected within the microcapsules at several days post-transplantation. We also found that B6 rag-/- mice reconstituted with non-fractionated lymph node cells or CD4(+) T cells but not CD8(+) T cells became diabetic demonstrating that CD4(+) T cells are the necessary T-cell subtype for microencapsulated NPI rejection. In contrast, non-reconstituted B6 rag-/- mice remained normoglycemic for the entire duration of the study. CONCLUSIONS: Our results demonstrate that CD4(+) T cells, B cells and macrophages are the immune cells recruited to and involved in the rejection of encapsulated NPI. Immune molecules secreted by these cells as well as complement can traverse the microcapsule membrane and are responsible for destroying the NPI cells. Treatment regimens which target these molecules may modify the rejection of encapsulated NPI and lead to prolonged islet xenograft survival.

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 score0.353
Threshold uncertainty score0.313

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 head0.006
GPT teacher head0.200
Teacher spread0.195 · 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

Citations48
Published2006
Admission routes2
Has abstractyes

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