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A Point-of-Care Platform for Hematopoietic Stem Cell Gene Therapy

2015· article· en· W2546689982 on OpenAlexaff
Jennifer E. Adair, Kevin G. Haworth, Guy Sauvageau, Shelly Heimfeld, Jonah D. Hocum, Grant D. Trobridge, Hans‐Peter Kiem

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsProgenitor cellGenetic enhancementCD34HaematopoiesisBone marrowStem cellPlerixaforMedicineCell therapyImmunologyHematopoietic stem cellEx vivoCancer researchBiologyCXCR4Cell biologyIn vivoGeneBiotechnologyChemokineGeneticsImmune system

Abstract

fetched live from OpenAlex

Abstract Hematopoietic stem and progenitor cell (HSPC) gene therapy holds great promise but requires highly technical and dedicated facilities. Current state-of-the-art requires ex vivo HSPC gene transfer in dedicated Good Manufacturing Practices (GMP) facility infrastructure, limiting treatment to highly developed countries. A patient point-of-care strategy would therefore make HSPC gene therapy available to patients worldwide. We developed a short, semi-automated, mostly-closed platform for ex vivo isolation and lentivirus (LV) gene modification of CD34+ HSPCs from either bone marrow or mobilized peripheral blood sources using the CliniMACS Prodigy® (Figure 1). Experiments were performed with a biosafety cabinet and personal protective equipment to simulate anticipated conditions in clinical facilities of underdeveloped countries. A total of 7 custom programs were developed for bone marrow or mobilized peripheral blood CD34+ cell isolation and LV transduction. Addition of a pyrimidoindole derivative, UM 729, permitted efficient transduction of CD34+ HSPCs in <18 hours. Complete semi-automated production took <34 hours from collection to infusion of the gene modified cell product, requiring very little operator hands-on time. Autologous, LV gene-modified CD34+ HSPCs from two nonhuman primates produced using this platform engrafted and supported multilineage hematopoietic repopulation after myeloablative total body irradiation at 1020 cGy. Total cell doses achieved were 27 x 106 and 5.4 x 106 CD34+ cells/kg body weight, respectively. We observed stable, persistent and polyclonal gene marking in peripheral blood granulocytes up to 40% and lymphocytes up to 15% within 4 months after infusion. Neither animal displayed evidence for increased toxicity, including potential contamination from the cell products. We then validated processing of human bone marrow and mobilized apheresis products from healthy adult donors. We demonstrate efficient isolation of human CD34+ HSPCs and up to 60% transduction efficiency with a clinical-grade LV currently being tested in a phase I clinical trial for treatment of HIV-associated lymphoma. Products tested met current FDA approved specifications for infusion. Xenotransplantation of these products into immunodeficient mice resulted in polyclonal engraftment over 12 weeks. These data demonstrate preclinical safety and feasibility of a patient point-of-care strategy for ex vivo LV gene transfer into HSPCs. This platform represents a major advance in global portability of LV mediated HSPC gene therapy. Figure 1. Figure 1. Disclosures No relevant conflicts of interest to declare.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.006

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 head0.034
GPT teacher head0.291
Teacher spread0.257 · 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
GenreMethods

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
Published2015
Admission routes1
Has abstractyes

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