MétaCan
Menu
Back to cohort

Validation of A 3D Bioprinted Model of Airway Smooth Muscle – A Novel Tool to Study the Effects of Airway Stiffening in Asthma

2020· article· en· W3017343332 on OpenAlexaffabout
Jeffery Osagie, Sanjana Syeda, Alexander Krueger, Emily Turner-Brannen, Adrian R. West

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsAirwayPropidium iodideBiomedical engineeringContractilityMedicineTropomyosinCell biologyPathologyChemistryActinBiologyCardiologySurgeryBiochemistry

Abstract

fetched live from OpenAlex

Background Asthma is a chronic obstructive airway disease characterized by airway wall remodeling and aberrant contraction of airway smooth muscle (ASM), which each contribute to clinical symptoms by restricting airflow. However, the precise link between airway mechanics and ASM contractility remains elusive, because ASM cell biology is routinely studied in 2D models that inadequately replicate the complex in‐vivo 3D microenvironment of healthy or diseased airways. We used a technique called 3D bioprinting to develop an experimental model of ASM in which we could characterize the response of ASM to altered mechanical loads in a realistic 3D structure. Methods Human ASM were resuspended at 2.5×10 7 cells/mL in a bio‐ink consisting of RGD‐coupled‐alginate (0.375% w/v), fibrinogen (5 mg/mL) and collagen‐I (1 mg/mL). Cells were then bioprinted using an Aspect Biosystems RX‐1 Bioprinter, as a ring‐shaped bundle of muscle constrained within a stiffness‐modifiable acellular alginate support (0.75–1.25% w/v). After bioprinting, constructs were thrombin treated (1.25 U/mL, 30 min) to initiate fibrin polymerization and maintained in standard ASM culture conditions. Cell health, viability and morphology were assessed with LDH assays, Hoechst/propidium‐iodide and filamentous‐actin staining respectively. Expression of ASM relevant genes was measured by qPCR. Reduction in lumen area representing contractile tone was tracked by live cell microscopy. Results ASM bioprinted without acellular supports shortened excessively and rapidly lost structural integrity. Comparatively, including supports provided a mechanical load that controlled baseline shortening; cells supported by 0.75%, 1% and 1.25% alginate exhibited >45%, >25% and <15% lumen reduction respectively. Constructs bioprinted in 1% supports exhibited high cell viability (>80%) for up to 14 days in culture. Histology 4 days after printing revealed development of a highly organized tissue with evidence of cell‐cell contacts and alignment of actin fibres. Nuclei were evenly distributed in all axes indicating formation of a true 3D structure. Compared with 2D, cells in 3D had a higher mRNA abundance of myosin heavy chain, but vimentin and matrix metalloproteinase‐3 were lower (all p<0.05). Importantly, administration of acetylcholine resulted in muscle contraction, while cytochalasin D caused a dramatic decrease in tone for all tissues with structural supports. Conclusion We have validated a novel tool for studying ASM biomechanics. ASM displayed varying levels of baseline shortening to different mechanical loads, supporting that mechanical cues may have profound effects on cellular function. Further, higher abundance of contractile genes in 3D demonstrates adoption of a physiologically relevant phenotype. Moving forward, contraction, relaxation and calcium dynamics will be quantified across a range of stiffnesses. These data will help unmask mechanisms by which airway mechanics regulate ASM contractility, with important clinical relevance to asthma. Support or Funding Information Funding: NSERC Discovery Grant (ARW), Research Manitoba Studentship (JO, SS)

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.274
Teacher spread0.245 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations3
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topic3D Printing in Biomedical ResearchFrench-language works237,207