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62: Importance of the Timing Between the Induction of Muscle Regeneration and the Transplantation of Muscle Precursor Cells in the Outcome of the Graft: A Study in Nonhuman Primates

2019· article· en· W2970174889 on OpenAlexaffabout
Daniel Skuk, Jacques P. Tremblay

Bibliographic record

VenueTransplantation · 2019
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsTransplantationRegeneration (biology)ElectroporationDystrophinDuchenne muscular dystrophyMyocyteMuscular dystrophyBiologyCellMedicineAndrologyImmunologyCell biologySurgeryInternal medicineBiochemistryGene

Abstract

fetched live from OpenAlex

Introduction Transplantation of muscle precursor cells (MPCs) is a major strategy for a potential future treatment of genetic myopathies such as muscular dystrophies. The MPC transplantation protocol that we developed in non-human primates allowed the restoration of the genetically missing protein (dystrophin) with better efficacy than previously in muscle fibers of patients with Duchenne muscular dystrophy, but needs improvements to obtain a broader cell engraftment and dystrophin restoration. Of the factors analyzed so far in non-human primates to increase the cell engraftment, the only one that favored a broader integration of the grafted cells in the muscle fibers of the recipient was the induction of profuse muscle regeneration in parallel to the cell graft. Since muscle regeneration is a dynamic process, it is necessary to investigate the moment in which the grafted cells are more likely to integrate profusely into the recipient muscle fibers. To elucidate that, we carried out a study in non-human primates. Methods We transplanted allogeneic MPCs labeled with ß-galactosidase (ß-Gal) in muscle regions of 1 cm3 of cynomolgus monkeys, using arrays of 25 parallel equidistant perpendicular injections. The sites were treated or not with intramuscular electroporation (3 pulses of 400 V/cm and 5 ms with a delay of 200 ms) to trigger massive muscle regeneration. MPC transplantations were performed immediately after electroporation, as well as on days 1 to 7 after electroporation and days 1, 2, 3, 6 and 7 before electroporation. Tacrolimus was administered daily to control acute rejection. Cell grafted regions were sampled one month after transplantation, snap frozen in liquid nitrogen and sectioned in a cryostat. Muscle cross-sections were stained with hematoxylin and eosin and for histochemical demonstration of ß-Gal. The amount of ß-Gal+ myofibers was quantified in the cross-sections as an indication of engraftment success. Results The amount of ß-Gal+ muscle fibers was significantly increased by a factor of 3.2 ± 1.2 in the muscles in which cell transplantation was done immediately after electroporation, with respect to regions grafted similarly but without electroporation (p < 0.0001 in a paired t test).The set of values from days +3 to +7 (cell transplantation post-electroporation) implied a significant reduction in the number of ß-Gal+ muscle fibers (p < 0.05 in a paired t test). There were no significant differences in the other timings, having in some cases a large variation of values. Conclusion According to these data, MPC transplantation must be concomitant with the induction of muscle regeneration to ensure an increase in the cell engraftment. If MPC transplantation is performed between days 3 and 7 after the induction of muscle regeneration, this can jeopardize the cell engraftment, while in the rest of the timings studied the results can be very variable. This work was supported by a grant of the Jesse’s Journey Foundation for Gene and Cell Therapy of Canada to D.S. and a grant of the Canadian Institutes of Health Research to J.P.T.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.278
Teacher spread0.252 · 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
Published2019
Admission routes2
Has abstractyes

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