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Record W2050978508 · doi:10.1039/c5tb00027k

An injectable aldehyded 1-amino-3,3-diethoxy-propane hyaluronic acid–chitosan hydrogel as a carrier of adipose derived stem cells to enhance angiogenesis and promote skin regeneration

2015· article· en· W2050978508 on OpenAlexaff
Qiang Chang, Haiyun Gao, Shouhan Bu, Wen Zhong, Feng Lu, Malcolm Xing

Bibliographic record

VenueJournal of Materials Chemistry B · 2015
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsUniversity of WinnipegChildren's Hospital Research Institute of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsHyaluronic acidRegeneration (biology)ChitosanAdipose tissuePropaneAngiogenesisMaterials scienceStem cellChemical engineeringBiomedical engineeringCell biologyChemistryCancer researchBiochemistryOrganic chemistryMedicineAnatomyBiologyEngineering

Abstract

fetched live from OpenAlex

We report an injectable aldehyded 1-amino-3,3-diethoxy-propane (ADEP)-hyaluronic acid (AHA)-chitosan (CS) hydrogel. This hydrogel can enhance wound healing by promoting cell migration, proliferation, granulation and angiogensis. During sol-gel transition, no chemical crosslinking agent was introduced and the structure of polysaccharide HA was grafted with a functional molecule, 1-amino-3,3-diethoxy-propane, but without using oxidation to break the HA structure as previously reported. Rheological tests showed the injectability and stability of this AHA-CS hydrogel. Full thickness skin defects (1 cm × 1 cm) were made on mice and the adipose derived stem cell loaded gel was tested in the healing-impaired wound. The AHA-CA hydrogel significantly accelerated wound closure, increased cell proliferation (Ki67 marker) and promoted keratinocyte migration (p63 marker). Histological examination demonstrated that the gel significantly advanced granulation tissue and capillary formation in the gel-treated wounds. mRNA expressions of angiogenesis (VEGF-A), chemotactic factors (SDF-1) and ECM-remodeling MMPs (MMP1 and MMP9) were also up-regulated in the hydrogel-treated wounds.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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.

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

Citations25
Published2015
Admission routes1
Has abstractyes

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