MétaCan
Menu
← Back to cohort

Use of Engineered Autologous BOEC for Gene Therapy of Canine Hemophilia A.

2005· article· en· W2586746414 on OpenAlexaff
Robert P. Hebbel, Liming Milbauer, Mark Roney, David Lillicrap, Jan Voorberg, Timothy C. Nichols

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineEx vivoGenetic enhancementTherapeutic effectTransfectionAndrologyIn vivoInternal medicineImmunologyGeneBiologyGenetics

Abstract

fetched live from OpenAlex

Abstract Hemophilia A is an attractive candidate disease for corrective gene therapy because relatively small amounts of the missing protein, FVIIII, have a significant biological effect. We previously described a novel approach: intravenous administration of ex vivo expanded BOEC (blood outgrowth endothelial cells) engineered to express FVIII. Robust therapeutic results were obtained using NOD/SCID mice and human BOEC stably transfected to express human FVIII (Blood99:457, 2002). We are now conducting scale-up studies in the canine hemophilia A model. Based on the previous mouse data, we estimated that 400 million cells would be required to achieve a therapeutic effect in the dog. First, two normal dogs were infused with autologous unmanipulated BOEC, which revealed removal from the circulation via single-pass kinetics. Then, BOEC cultures were obtained from three hemophilia A dogs, and an onco-retroviral vector (MIRG/cFVIII) was used to obtain transduced BOEC producing B-domainless canine FVIII. Then, for each treatment, autologous engineered BOEC were given IV to the original donor dogs, with dose divided over 3 daily infusions, and whole blood clotting time (WBCT, in minutes) was followed. Dog Date # cells infused pre Rx WBCT effect on WBCT D28 12/04 274x106 >60 nadir 36 at day 14, Still 39 at day 185 D28 6/05 386x106 39 nadir 24.5 at day 23, now at 30 at day 44, being followed E64 7/04 220x106 >60 nadir 34.5 at day 3, >60 min by day 38 E64 12/04 274x106 >60 still 37.5 at day 189 E64 6/05 185x106 37.5 nadir 34.5 at day 2, at 36 on day 32, being followed H17 6/05 272x106 >60 nadir 29 at day 44, being followed WBCT (nl = 8-12 min) needs to be <20 min to reflect >0.1% FVIII activity; but the observed WBCT are clearly improved compared to baseline. One dog (E64) was treated for a mouth bleeds on d37 in cycle 2, and d36 in cycle 3. One animal (E64) developed hypotension and tachypnea during one of the infusions (probably because cells were not kept sufficiently in suspension) but recovered. Four of the infusions were associated with mild transient thrombocytopenia. Based on these initial scale-up experiments, it appears that use of engineered BOEC for gene therapy is an approach worthy of continued study, as cell doses can be increased and other improvements in the method are readily envisioned. It has a number of advantages, including use of autologous carrier cells with which any expression vector can be paired, ex vivo exposure to vector rather than in vivo, use of BOEC expansion in culture to simultaneously achieve vector expansion, and the ability to chose a clone of engineered cells having a single, known (and studied) insertion site.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.051
GPT teacher head0.305
Teacher spread0.254 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicHemophilia Treatment and Research→French-language works237,207→