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Record W7105680942 · doi:10.48448/y3jj-vx63

Stepwise Differentiation of Engineered Human Meniscus Tissues in 3D-Printed Flexible Scaffolds

2025· other· W7105680942 on OpenAlexaff

Bibliographic record

VenueUnderline Science Inc. · 2025
Typeother
Language
Field
Topic
Canadian institutionsColumbia College
Fundersnot available
KeywordsMeniscusMesenchymal stem cellChondrogenesisTissue engineeringSynovial jointCartilageCTGFConnective tissueOsteoarthritis

Abstract

fetched live from OpenAlex

Background Meniscus injuries are common with approximately 850,000 patients undergoing surgical treatment in the United States yearly. To investigate regenerative strategies for avascular meniscus tears, our lab has been utilizing bovine meniscus explants for investigating regenerative strategies for tears and crosstalk between joint tissues. However, inter-species crosstalk between bovine meniscus and human derived joint tissues remains a concern. This study was designed to engineer and validate a model of human meniscus for engineered healing of avascular meniscus tears under the crosstalk between meniscus, synovial membrane, and IFP. Methods A wedge-shaped scaffold was 3D-printed with Ecoflex F Blend C1200 polymer. Synovial mesenchymal stem/progenitor cells (syMSCs) were isolated from surgically removed synovium of anonymous adult donors as per our previous methods. The scaffolds were then loaded with collagen bioink and 2,000,000 cell /mL syMSCs and then placed into the PDMS molds. Experiment 1: For the first 2 weeks, the tissue constructs were cultured in Fibrogenic induction supplemented (FIS) media with connective tissue growth factor (CTGF). For weeks 3-4, the tissue constructs were cultured in chondrogenic induction supplemented media (CIS) and transforming growth factor beta-3 (TGFβ-3). Experiment 2: For 4 weeks tissue constructs were cultured in FIS with CTGF and CIS with TGFβ-3. No loading was applied. Experiment 3: Tissue constructs were cultured in combined FIS (w/ CTGF) and CIS (w/ TGFβ-3) with no FBS and no loading. Results At 4 weeks, histology showed new tissue integration into the pores throughout the scaffolds. Picrosirius Red (PR) and Alcian Blue (AB) staining suggest the de novo tissues in the no loading group are dense fibrocartilaginous tissues. Polarized images of PR-stained section showed densely aligned collagen fibers, reminiscent of native meniscus, comprising circumferential fibers and radial tie fibers. Mechanical loading resulted in less mature fibrous tissue matrix with limited cartilaginous matrix. Combined culture with FIS (w/ CTGF) and CIS (w/ TGFβ-3) showed the most mature and dense fibrocartilage tissue development after 4 weeks. RNA sequencing data show similar expression levels of fibrochondrocyte-specific genes, including COL1A2, ACAN, COMP, and COL1A1, between engineered and native human meniscus tissue. Conclusion Our study suggests a reliable and effective approach to engineer human meniscus-like tissues that can serve as an experimental explant model for various types of meniscus explant research. Combined culture with FIS and CIS creates more mature fibrocartilage structure than step-wise differentiation under no physiological loading. These findings may have implications for engineering human meniscus-like tissue for various types of meniscus research.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.421
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0110.011
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.020
GPT teacher head0.312
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

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