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Abstract 13447: An Injectable Conductive Polymer Hydrogel Improves Electrical Conduction Velocity in the Injured Heart

2015· article· en· W2508203103 on OpenAlexaff
Zhi Min Cui, Nathan C. Ni, Jun Wu, Terrence M. Yau, Richard D. Weisel, Ren‐Ke Li

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineElectrical conductorBiomedical engineeringCardiologyInternal medicineComposite material

Abstract

fetched live from OpenAlex

Introduction: Scar formation after a myocardial infarction (MI) delays electrical impulse propagation, inducing dysynchronous cardiac activation and uncoordinated contraction. We generated an injectable biocompatible conductive polymer that not only stabilized the infarct region, but also facilitated electrical signal propagation across the scar tissue to enhance synchronous ventricular contraction. Methods/Results: Oxidative polymerization was employed to conjugate polypyrrole (PPY) to chitosan (CHI) and hydrogels were created by glutaraldehyde crosslinking. Biomaterials with 4 different PPY:CHI ratios (CHI, 3PPY:10CHI, 3 PPY:100 CHI, 3 PPY:1000CHI ) were generated. Electrical conductivity was measured by two-probe cyclic voltammetry. The 3PPY:10CHI ratio had significantly greater conductivity than the other concentrations (2.37х10-4±6.25х10-5S/cm, n=6, P<0.05). Improved electrical propagation was demonstrated when neonatal rat cardiomyocytes cultured on 3PPY:10CHI had significantly higher Ca2+ transient propagation velocity (by optical mapping with a fluo-4/AM indicator) than those cultured on other concentrations (17.25±2.23cm/s, n=15, P<0.05). Thus, 3PPY:10CHI was employed for in vivo studies employing a cryoinjury model (with a uniform scar size). Saline, CHI, and 3PPY:10CHI were injected into Sprague-Dawley rat hearts 1 week after injury. The sequence of cardiac electrical activation was visualized using an optical mapping system 1 month post-injection. Saline (57.7±2.5cm/s, n=4)- and CHI (47.1±3.5cm/s, n=3)-injected hearts showed disrupted propagation patterns and significantly reduced conduction velocity, while 3PPY:10CHI (74.3±4.7cm/s, n=5)-treated hearts had higher conduction velocities that were similar to healthy controls (81.3±0.59cm/s, n=3). Conclusion: A polypyrrole-conjugated chitosan hydrogel supported cell attachment and improved electrical conductivity in vitro. The 3PPY:10CHI biomaterial enhanced Ca2+ transient propagation in cultured cardiomyocytes and intra-myocardial injection of the material improved longitudinal electrical impulse propagation across the scar. This new biomaterial may be a new potential therapy to synchronize cardiac contraction.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0030.000

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 head0.047
GPT teacher head0.305
Teacher spread0.259 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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