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Record W2505860019 · doi:10.4172/2472-1905.100003

Cellular and Molecular Mechanism of Dermal Fibrosis Following Burn Injury, and Exploration of Therapeutic Approaches

2015· article· en· W2505860019 on OpenAlexaff
Jie Ding, Edward E. Tredget

Bibliographic record

VenueJournal of Aesthetic & Reconstructive Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineFibrosisScarsBurn injuryCirrhosisPulmonary fibrosisKeloidHypertrophic scarsMechanism (biology)InflammationWound healingDermatologyPathologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Fibrotic disorders such as liver cirrhosis, pulmonary fibrosis, systemic sclerosis, valvular disease, atherosclerosis, etc. are defined by overgrowth, hardening and scarring of various tissues.The majority of these diseases are progressive, irreversible and fatal, and they are responsible for the deaths of millions of people.There are two fibrotic disorders in the skin, keloids and hypertrophic scars (HTS) (Figure 1).Clinically, the most important difference between keloids and HTS, is that keloids develop beyond the borders of the original wound and tend to recur after excision, whereas HTS never expand beyond the boundaries of the initial wound and may partially spontaneously regress.HTS occurs after deep dermal burn injury with prolonged inflammation.Our research group focuses on the cellular and molecular mechanism of dermal fibrosis following burn injury, and the exploration of therapeutic approaches.Skin is the largest organ of the body with 3 layers: epidermis, dermis, and hypodermis.It provides a vital barrier function, plays important roles in the wound healing process, and contributes to thermoregulation of our bodies.Depending on the depth of tissue damage, burns are classified clinically into 4 degrees: 1 st degree, superficial or deep 2 nd degree, 3 rd degree full thickness, and 4 th degree burns.Wound healing is an intricate process, in which the skin repairs itself after injury.The normal process of wound healing has four phases.The hemostatic phase is from initial injury to 3 hours, in which blood vessels constrict, clot forms and cytokines are released from platelets.The inflammatory phase is from 0 to 3 days.During this time, leukocytes and macrophages infiltrate to the wound site, clean the wound and destroy the bacterial and cell debris.The proliferation phase is from 3 days to 3 weeks where blood vessels and granulation tissue start to form to fill the wound cavity.Finally, the remodelling phase is from 3 weeks to 1 year.The disorganized collagen fibres are rearranged, cross-linked, and aligned under the direction of remodelling [1].Wound healing is often a mixture of regeneration and replacement.Regeneration occurs when wounds heal with the same cell types as originally present; replacement occurs when the wound heals with new cell types.The wound healing outcomes are easily understood using the "Fence Theory" analogy [2].Burn injury makes a wound in the skin.Regenerationbased wound healing is a normal process of wound repair, and

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.083
GPT teacher head0.288
Teacher spread0.205 · 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
Published2015
Admission routes1
Has abstractyes

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