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Record W4405045469 · doi:10.1088/1748-605x/ad9af1

Injectable, cryopreservable mesenchymal stromal cell-loaded microbeads for pro-angiogenic therapy: in vitro proof-of-concept

2024· article· en· W4405045469 on OpenAlexafffund
Francesco K. Touani, Inès Hamouda, Nicolas Noiseux, Corinne A. Hoesli, Shant Der Sarkissian

Bibliographic record

VenueBiomedical Materials · 2024
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsÉcole de Technologie SupérieureUniversité de MontréalMcGill UniversityCentre Hospitalier de l’Université de MontréalCegep Edouard Montpetit
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsMesenchymal stem cellViability assayGelatinParacrine signallingStromal cellChitosanBiomedical engineeringCryopreservationTissue engineeringMaterials scienceWound healingCellChemistryCell biologyImmunologyMedicineCancer researchBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Despite their recognized potential for ischemic tissue repair, the clinical use of human mesenchymal stromal cells (hMSC) is limited by the poor viability of cells after injection and the variability of their paracrine function. In this study, we show how the choice of biomaterial scaffolds and the addition of cell preconditioning treatment can address these limitations and establish a proof-of-concept for cryopreservable hMSC-loaded microbeads. Injectable microbeads in chitosan, chitosan–gelatin, and alginate were produced using stirred emulsification to obtain a similar volume moment mean diameter (D[4,3] ∼ 500 µm). Cell viability was determined through live/dead assays, and vascular endothelial growth factor (VEGF) release was measured by ELISA. Proangiogenic function was studied by measuring the wound closure velocity of human umbilical vein endothelial cells (HUVEC) co-cultured with MSC-loaded microbeads. The effect of freeze–thawing on microbeads morphology, porosity, injectability and encapsulated MSC was also studied. hMSC-loaded chitosan-based microbeads were found to release 11-fold more VEGF than alginate microbeads ( p < 0.0001) and chitosan–gelatin was chosen for further studies because it presented the best cell viability. Preconditioning with celastrol significantly enhanced the viability (1.12-fold) and VEGF release (1.40-fold) of MSC-loaded in chitosan–gelatin microbeads, as well as their proangiogenic paracrine function (1.2-fold; p < 0.05). In addition, preconditioning significantly enhanced the viability of hMSC after 1 and 3 d in low-serum medium after cryopreservation ( p < 0.05). Cryopreserved hMSC-loaded microbeads maintained their mechanical properties, were easily injectable through a 23G needle, and kept their paracrine function, enhancing the proliferation and migration of scratched HUVEC. This study shows the advantage of chitosan as a scaffold material and concludes that chitosan–gelatin microbeads with celastrol-preconditioned cells form a promising off-the-shelf, cryopreservable allogenic MSC product. In vivo testing is required to confirm their potential in treating ischemic diseases or other clinical applications.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.012
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.320
Teacher spread0.280 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes2
Has abstractyes

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