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Estruturas tridimensionais obtidas pela complexação de quitosana com outros polissacarídeos para aplicação na engenharia de tecidos vasculares

2018· dissertation· pt· W4205722242 on OpenAlexfundno aff
Fernanda Carla Bombaldi de Souza

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoNatural Sciences and Engineering Research Council of CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsChitosanPectinBiomedical engineeringBiomaterialBiocompatible materialSiliconeTissue engineeringMaterials scienceChemistryMedicineComposite materialBiochemistry

Abstract

fetched live from OpenAlex

Cardiovascular diseases such as coronary artery and peripheral vascular diseases are the leading cause of death worldwide.Surgical interventions for the repair of damaged blood vessels are often necessary, including partial replacement of the vessel or use of vascular patches.There is a need for materials capable of acting effectively as vascular substitutes, especially in the case of small-caliber blood vessels (diameter smaller than 6 mm), since the materials regularly used often lead to postoperative complications and vessel reocclusion.Recent advances in the development of vascular substitutes are a consequence of tissue engineering approaches, with the culture of vascular cells on biodegradable scaffolds.Chitosan (Ch), a natural biocompatible polymer, is widely used in the production of scaffolds and its combination with other polysaccharides such as alginate (A) and pectin (P) contributes to the improvement of biomaterial properties.In this work, matrices with flat geometry were produced using chitosan of three different molar weights in combination with A or P in the presence or absence of the surfactant Kolliphor ® P188 (K) and silicone gel Silpuran ® 2130 A/B (S), and characterized to assess the influence of composition on matrix's properties.Additional characterizations were performed to validate their potential application as tissue-engineered vascular patches.The use of chitosan of high molar weight and pectin, in combination with S, resulted in materials with poroviscoelastic behavior and higher mechanical resistance when comparing all formulations tested.Ch-P matrices presented higher stability and better response to blood contact, due to the presence of platelets in the less advanced stages of activation and lower levels of thrombogenicity, as well as better adhesion, proliferation and greater viability of smooth muscle cells.Devices with tubular geometry prepared with Ch-P were successfully fabricated using a new methodology, resulting in homogeneous, stable and highly porous scaffolds.The use of collagen gel for entrapment of smooth muscle cells facilitated the introduction and homogeneous distribution of the cells in the three-dimensional tubular structure.The present study evidenced that the use of chitosan complexed with pectin, a combination still underexplored in tissue engineering, has the potential to be further investigated for this purpose.In addition, this study demonstrated that the threedimensional structures obtained in different geometries are promising for the use in the reconstruction and regeneration of vascular tissues.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.317
Teacher spread0.294 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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