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Record W2571432015 · doi:10.1182/blood.v108.11.721.721

High Efficiency Clinical Scale Selective Depletion of Alloreacting T Cells Using Expanded T Lymphocytes as Antigen-Presenting Cells and a TH9402-Based Photodepletion Technique in HLA-Mismatched and Matched Donor-Recipient Pairs.

2006· article· en· W2571432015 on OpenAlexaboutno aff
Stephan Mielke, Raquel Nunes, Katayoun Rezvani, Vicki Fellowes, Yong Fan, Scott R. Solomon, Christian Scotto, Elizabeth J. Read, A. John Barrett

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsLeukapheresisIL-2 receptorFlow cytometryImmunologyPeripheral blood mononuclear cellAntigenLymphocyteMolecular biologyChemistryBiologyT cellStem cellIn vitroBiochemistryCell biologyImmune system

Abstract

fetched live from OpenAlex

Abstract Selective depletion (SD) is a strategy to eliminate host-reactive donor lymphocytes from blood stem cell allografts to prevent GVHD and maintain GVL-effects. As an alternative to CD25-immunotoxin-based SD, we investigated a photodepletion (PD) process, whereby allo-activated donor cells are labeled with a photosensitizing rhodamine-based dye, 4,5-dibromorhodamide 123 (TH9402), and exposed to visible light, which preferentially eliminates allo-activated dye-retaining cells. Stimulator cells were prepared from recipient-derived leukapheresis mononuclear cells (MNCs) and cultured using anti-CD3 and 100 IU IL-2/ml. Responder cells (leukapheresis MNCs) from 3 random HLA-mismatched volunteers and 3 HLA-matched sibling donors were cocultured 1:1 with irradiated stimulators for 3 days. Cultured cells were incubated with 7.5 μM TH9402, followed by dye-extrusion and exposure to 5 Joule light energy in the PD light source (Celmed Bioscience Inc., Canada) at 5x106 cells/ml in FEP plastic bags. Flow cytometry was performed before and after PD and included surface phenotyping for CD25 and intracellular staining for forkhead protein3 (foxp3). Depletion efficacy was studied by mixed lymphocyte reactions (MLR) in mismatched pairs and by helper-T-lymphocyte precursor (HTLp) frequency assay in matched pairs. All six clinical-scale experiments provided sufficient reduction of allo-reactivity and retention of third party responses as measured against a pool of 5 donors. In mismatched pairs mean reduction of allo-reactivity was 703-fold (± 141) when compared to unmanipulated donors. Third-party responses were maintained, with a mean reduction of only 1.3 ± 0.15-fold (Figure A). In matched pairs alloreactivity was reduced below the “GVHD-threshold” of 1/100.000 whilst third party responses remained above 1/10.000 precursors (Figure B). Effective depletion was observed despite that fact that a small fraction of CD25+ T cells remained after PD. These were mainly CD4+CD25+ T cells (1.5 ± 1.1 % of CD4+) and very residual CD8+CD25+ T cells (0.3 ± 0.2 % of CD8+), and represented predominantly CD4+foxp3+ regulatory T cells (Tregs) which persisted after PD (1.4 ± 1.7 % of CD4+). This establishes a clinical scale PD process capable of highly efficient removal of alloreactive lymphocytes from mismatched and matched MLRs while maintaining desirable third party responses. As PD targets activation-based changes in MDR-1 that result in an altered dye efflux, the mechanism of action is distinct from surface-marker-based allodepletion (e.g. CD69, CD25). Thus, PD may overcome instability of activation-based surface marker expression resulting in more consistent and effective depletion. PD may further mitigate the risk of GVHD by conserving Tregs. This approach will now be tested in a clinical SD trial. Figure Figure.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.014
GPT teacher head0.288
Teacher spread0.274 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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