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Record W4405618299 · doi:10.1101/2024.12.12.628243

Non-mulberry silk fibroin functionalization enhances charge-transfer efficiency in aligned polypyrrole-silk composites for electrically stimulated neurite outgrowth

2024· preprint· en· W4405618299 on OpenAlexaff
Rajiv Borah, Joseph Christakiran Moses, Jnanendra Upadhyay, Biman B. Mandal

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsTrinity College
FundersScience and Engineering Research BoardIndian Institute of Technology GuwahatiDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsFibroinNeuriteMaterials sciencePolypyrroleSurface modificationBiocompatibilityScaffoldBiophysicsBiomedical engineeringSILKDopantBombyx moriNanotechnologyChemistryPolymerizationComposite materialDopingOptoelectronicsIn vitroPolymer

Abstract

fetched live from OpenAlex

Abstract Electroconductive biomaterials (ECBs) replicate the natural bioelectrical environment of nerve tissue, promoting action potential propagation after injury and enhancing nerve regeneration through therapeutic electrical stimulation (ES). We present a highly electroactive Faradaic ECB with exceptional electrical conductivity and charge density, alongside low electrochemical impedance. These ECBs trigger action potentials at low stimulation voltages by regulating redox reactions through their intrinsic reversible behavior, thereby preventing electrode degradation and tissue damage. Our biohybrid scaffold consists of aligned microfibrous matrices of polypyrrole (PPy) and Bombyx mori silk fibroin (BmSF), functionalized with Antheraea assamensis silk fibroin (AaSF) rich in the cell-affinitive RGD tripeptide. Serving as an anionic dopant for PPy, AaSF significantly enhances the scaffold’s electrical properties (∼9.18 mS cm -1 ) and charge-transfer efficiency (∼25.27 Ω). The scaffolds exhibit superior charge injection capacity at low potentials compared to conventional bioelectrodes (e.g., 0.46 mC cm -2 at 50 mV). Under pulsed ES at 50 mV cm -1 , these scaffolds support remarkable neurite outgrowth of dorsal root ganglion (DRG) neurons up to 830 μm (7 days). Notably, higher current densities and voltages decrease the rate of neurite outgrowth, highlighting the importance of optimizing ES parameters to effectively evoke functional action potentials without causing any neuronal damage. Biocompatibility assessments reveal that AaSF functionalization improves cellular behavior while minimizing immunomodulatory responses. Enhanced neuronal and glial differentiation is attributed to better cell communication facilitated by excellent adhesion and increased conductivity. In essence, this study provides a strategy for selecting optimal ES parameters for electrically excitable tissues using established electrochemical techniques. The fabricated biohybrid scaffolds hold significant promise as smart nerve guidance channels (NGCs) for future nerve regeneration therapies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.139
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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