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Cell-only bioprinting of articular cartilage progenitor cells within a physically constraining support bath to engineer structurally organized grafts

2025· article· en· W7117456735 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.

Bibliographic record

VenueBioactive Materials · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsTrinity College
FundersEuropean Research Council
Keywords3D bioprintingChondrogenesisTissue engineeringCartilageProgenitor cellArticular cartilageMatrix (chemical analysis)Regeneration (biology)

Abstract

fetched live from OpenAlex

Engineering functional articular cartilage (AC) grafts is one of the greatest challenges in tissue engineering. Recapitulating the arcade-like collagen organisation of AC, which is integral to the tissues’ strength and stiffness, is necessary to engineer truly functional grafts. This motivates the need for innovative strategies to control collagen alignment in engineered tissues in a programmable manner. Emerging 3D bioprinting strategies can provide spatially defined cues to guide tissue growth. Therefore, the goal of this study was to use embedded bioprinting to provide spatially defined boundary conditions to AC progenitor cells (ACP) to direct collagen organization and support the development of biomimetic cartilage tissues. ACPs were isolated through differential adhesion to fibronectin and demonstrated superior chondrogenesis to donor matched chondrocytes. Two different approaches (casting and 3D bioprinting) were used to physically constrain ACPs with external boundaries of differing widths (250, 500, or 750 μm). For both approaches, thinner boundaries promoted greater collagen alignment along the long axis of the developing tissue. Building on this, ACPs were bioprinted into a sheet, with collagen fibers aligning parallel to the print direction. Finally, a multi-layered graft was bioprinted with horizontal filaments (XY plane) overlaying vertical filaments (Z-axis). The bioprinted tissue had an arcade-like collagen organization with horizontal collagen fibres overlaying vertical collagen fibres. These findings demonstrate how support baths can be used to provide spatially defined physical boundary conditions to bioprinted cells to guide matrix organization, enabling the engineering of anisotropic AC grafts. A) diagrammatic representation of physical boundaries directing collagen alignment of a confined bioink. The smaller the spacing X between the boundary the greater the neotissue collagen alignment. B) Utilizing an embedded 3D bioprinting support bath as a physical boundary to direct a biomimetic arcade-like collagen alignment in bioprinted anisotropic articular cartilage sheet. • Articular cartilage (AC) progenitors are superior to chondrocytes for AC engineering. • Physical boundaries direct the organization of extracellular matrix secreted by ACPs. • Greater physical confinement enhances cell and collagen alignment. • Support baths can provide spatially defined boundaries that direct tissue growth. • Physical boundaries support the bioprinting of anisotropic cartilage grafts.

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 score0.010
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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