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Injectable Cryopreservable Alginate-Gelatin Microbeads for Pro-Angiogenic Cell Therapy

2025· article· en· W4414813602 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Biomaterials Science & Engineering · 2025
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsÉcole de Technologie SupérieureUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersFonds de recherche du Québec – Nature et technologiesFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of Canada
KeywordsMesenchymal stem cellUmbilical veinCryopreservationParacrine signallingCell therapyBiomaterialGelatinDextranHuman umbilical vein endothelial cell

Abstract

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Loading cells into biomaterial microbeads is a promising approach to overcome the limitations of mesenchymal stromal cell (MSC) therapy for ischemic tissues, such as low cell survival and retention and variable paracrine function. However, developing a clinically transferable and storable product remains a challenge. Here we developed an oil-free air-assisted coaxial system to encapsulate MSC within injectable alginate-gelatin (ALG-Gel) microbeads and studied their size distribution, injectability, mechanical properties, and stability as a function of gelatin content, as well as the viability, vascular endothelial growth factor (VEGF) release, and paracrine function of MSC in vitro before and after cryopreservation (0.3 M trehalose, 10% DMSO). ALG microbeads containing 0, 3, and 5% w/v gel were produced with a volume-weighted mean diameter (D [4.3]) of 400–500 μm and a low coefficient of variation (14–18%). The microbeads were easily injectable through a 21-gauge needle with only a 3% breakage rate. ALG-Gel3% was found to be the most promising formulation. MSC loaded in ALG-Gel3 presented significantly higher survival and a greater wound closure rate compared to ALG. ALG-Gel3% did not present significantly lower mechanical properties compared to ALG microbeads and was stable for at least 14 days in Hank's balanced salt solution (HBSS). Cryopreservation reduced the mechanical compressive strength and strain at failure, cell survival, and release of VEGF ( p < 0.05), but cell viability remained above 80% after 7 days in culture, and MSC-loaded beads led to rapid human umbilical vein endothelial cells (HUVECs) proliferation and migration in a wound-healing model. Thanks to this method, microbeads contain no trace of oil, which increases their safety and potential for clinical transfer. These cryopreservable oil-free microbeads offer great promise to improve the safety and efficacy of pro-angiogenic MSC-based cell therapy. However, the cryopreservation process should be improved, and in vivo studies in preclinical ischemic models are needed to confirm their therapeutic effectiveness.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.258
Teacher spread0.249 · 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