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Transfer of Recipient MHC Proteins to Donor Cells (trogocytosis) During Xenograft Bone Marrow Transplantation

2010· article· en· W2559664427 on OpenAlexaff
Shawn Chua, Jennifer Whiteley, Ian M. Rogers

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsLunenfeld-Tanenbaum Research Institute
Fundersnot available
KeywordsImmunologyBone marrowTransplantationBiologyHaematopoiesisMajor histocompatibility complexStem cellMHC class IHematopoietic stem cell transplantationMHC class IIImmune systemCancer researchMedicineCell biologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 4698 Background: Hematopoietic cell transplantation (HCT) is a common procedure for eradicating blood cancers and other diseases that involves reconstitution of the bone marrow and regeneration of the immune system after full or partial myeloablative therapy. Despite the widespread use of HCTs, no studies have investigated the extent of cell fusion or trogocytosis between blood cells of the donor and recipient in the transplant setting despite the many reports of fusion between blood cells and non-blood cells in the stem cell literature. The potential transfer of mismatched Class 1 MHC proteins and other surface molecules between cells by trogocytosis as identified in our study, has implications for outcome after allogeneic hematopoietic cell transplantation, specifically with reduced intensity conditioning regimens. A complete understanding of the cellular and molecular mechanisms of trogocytosis and its effect on the graft-versus–tumor effect, graft-versus-host disease (GVHD) and graft rejection will provide new insights that are likely to improve results of allotransplantation. Results: Using human donor HSCs to engraft NOD/SCID mice resulted in 100% of surviving donor cells with recipient (mouse) MHC class 1 on their surface in high concentrations. We also report on the transfer of CD45, CD56, CD14, CD41 and class 2 MHC proteins. Furthermore we could also demonstrate that radiation pre-conditioning increases the rate of trogocytosis between blood cells. Mouse chimeras were generated between MHC mismatched strains allowing us to investigate trogocytosis between blood cells in a none radiation setting as well as potential trogocytosis between blood cells and organs. Implications of this study: Trogocytosis has been described as a method of antigen presentation during a normal immune reaction. The paradox we have encountered and explore in our study is the fact that the trogocytosis we observe in the transplantation setting occurs in ‘reverse’ to what is expected. It is expected that during HCT the donor cells would be targeted for destruction by either recipient NK cells or T-cells. Even in the xenograft transplant model using NOD/SCID mice the residual NK cells are known to cause graft rejection. The literature regarding standard blood cell rejection indicates that the recipient NK, T cells and APCs acquire donor MHC through direct mechanisms (intact allo-MHC on APCs) or indirect mechanisms (processed donor (allo) antigen + self-MHC) resulting in the rejection of the donor cells. What we actually observe is the reverse. All donor cells acquire recipient MHC class 1. This novel observation of unidirectional transfer of MHC implies that trogocytosis could protect against graft rejection while not reducing graft-versus-tumor activity, thereby creating an opportunity for increasing patient survival rates. Despite the extensive use of experimental and clinical allotransplantation, fusion or trogocytosis between blood cells has not been well documented. Moreover, trogocytosis has not been considered in the stem cell field mainly because its mechanism is unknown and its significance has been limited to antigen presentation and to T-cells involved in immune reactions. Disclosures: Rogers: Insception Biosciences: Consultancy.

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 score0.005

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 head0.006
GPT teacher head0.199
Teacher spread0.193 · 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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Citations0
Published2010
Admission routes1
Has abstractyes

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