Development of a Functional 3D Bioprinted Vascular Smooth Muscle Tissue Model Using a Stiffness‐Modifiable Alginate‐Collagen‐Fibrinogen Based Bioink
Bibliographic record
Abstract
Background Blood vessels are soft tissues whose cellular functions are regulated in part by mechanical signals from the extracellular matrix. Structural defects including increased vascular wall stiffness are known contributors to the initiation and progression of diseases like pulmonary hypertension and atherosclerosis. However, studying the effects of wall stiffness using traditional 2 dimensional (2D) cell culture models pose challenges: the flat plastic surface is very stiff and incapable of accurately replicating altered tissue structure. Using 3D bioprinting technology and a stiffness‐modifiable alginate‐collagen‐fibrinogen bioink, we aimed to fabricate functional tissue mimicking the medial smooth muscle layer of healthy and diseased blood vessels. Methods Pulmonary and coronary arterial smooth muscle cells (PASM and CASM respectively) were encapsulated at 2.5x10 7 cells/mL in a bioink comprised of 0.25% to 1.0% w/v sodium alginate, 1 mg/mL collagen‐I, and 5 mg/mL fibrinogen. Tissues were bioprinted with an Aspect Biosystems RX‐1 bioprinter as an 8–10 mm ring, free‐floating or constrained within a stiff (0.75–1.25% alginate) acellular load bearing frame, then treated with thrombin (1.25 U/mL, 30 min) for fibrin polymerisation. To assess tissue integrity and function, tissue compaction was assessed by reduction of lumen area and cell organization was determined using filamentous actin staining. Results Stiff (1% alginate) PASM biorings without a frame were mechanically stable, but cells remained ‘balled up’ and were unable to spread within the structure. Softer (0.25% and 0.5% alginate) PASM biorings showed signs of cell spreading but exhibited excessive compaction (>70% lumen area reduction) within 24 hours. Addition of a 1% alginate frame to PASM biorings reduced compaction to 6.94% (0.25% cellular alginate) and 3.69% (0.5% cellular alginate), while still allowing cells to elongate and form cell‐cell networks. Similar results were observed with CASM biorings, which compacted >50% when printed without a frame. We demonstrated that the degree of tissue compaction is controllable using frames of different stiffnesses; soft (0.375% alginate) CASM biorings printed with a 0.75% alginate frame had >15% compaction, whereas biorings with stiffer 1% and 1.25% alginate frames exhibited <5% compaction. In all cases, cells printed in soft biorings with stiff frames had well‐organised bundles of actin filaments consistent with real vascular smooth muscle. Conclusion Our stiffness‐modifiable 3D bioprinted smooth muscle represents a novel experimental model for studying vascular tissue. The bioink composition and physical design, where muscle compaction can be easily controlled by altering the acellular load bearing frame, allows us to better mimic the structural defects seen in vascular diseases than is possible with 2D models. This makes our model a powerful tool that will enable us to understand how wall stiffness affects the initiation and progression of vascular diseases. Support or Funding Information NSERC Discovery Grant (ARW), Research Manitoba Studentship (SS, JO), CHRIM Operating Grant
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".