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Cell driven elastomeric particle packing in composite bioinks for engineering and implantation of stable 3D printed structures

2024· article· en· W4403860083 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

VenueBioactive Materials · 2024
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsInstitute for Work & HealthStructural Genomics ConsortiumUniversity of TorontoUniversity Health Network
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanada Research ChairsCanada Foundation for InnovationOntario Research FoundationNational Institutes of HealthNational Heart, Lung, and Blood InstituteEuropean Molecular Biology Organization
KeywordsElastomerMaterials scienceComposite numberComposite materialParticle (ecology)3d printedChemical engineeringBiomedical engineeringEngineeringGeology

Abstract

fetched live from OpenAlex

Geometric and structural integrity often deteriorate in 3D printed cell-laden constructs over time due to cellular compaction and hydrogel shrinkage. This study introduces a new approach that synergizes the advantages of cell compatibility of biological hydrogels and mechanical stability of elastomeric polymers for structure fidelity maintenance upon stereolithography and extrusion 3D printing. Enabling this advance is the composite bioink, formulated by integrating elastomeric microparticles from poly(octamethylene maleate (anhydride) citrate) (POMaC) into biologically derived hydrogels (fibrin, gelatin methacryloyl (GelMA), and alginate). The composite bioink enhanced the elasticity and plasticity of the 3D printed constructs, effectively mitigating tissue compaction and swelling. It exhibited a low shear modulus and a rapid crosslinking time, along with a high ultimate compressive strength and resistance to deformation from cellular forces and physical handling; this was attributed to packing and stress dissipation of elastomeric particles, which was confirmed via mathematical modelling. Enhanced functional assembly and stability of human iPSC-derived cardiac tissues and primary vasculature proved the utility of the composite bioink in tissue engineering. In vivo implantation studies revealed that constructs containing POMaC particles exhibited improved resilience against host tissue stress, enhanced angiogenesis, and infiltration of pro-reparative macrophages. • A bioink from POMaC elastomeric microparticles and biologically-derived hydrogels. • Enhanced elasticity and plasticity of 3D printed constructs mitigate compaction. • High compressive strength resists deformation from handling and implantation. • Improved assembly of bioengineered cardiac tissues and vasculature. • Enhanced in vivo vascularization and pre-regenerative macrophage infiltration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.046
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.013
GPT teacher head0.264
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