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Record W1999080480 · doi:10.1016/j.cub.2014.05.006

Resolution Mediator Chemerin15 Reprograms the Wound Microenvironment to Promote Repair and Reduce Scarring

2014· article· en· W1999080480 on OpenAlexaff
Jenna L. Cash, Mark D. Bass, Jessica Campbell, Matthew J. Barnes, Paul Kubes, Paul Martin

Bibliographic record

VenueCurrent Biology · 2014
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsInstitute of Infection and ImmunityUniversity of Calgary
FundersWellcome Trust
KeywordsBiologyMediatorCell biologyComputational biologyEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

Disorders of cutaneous repair can cause disability or death given that skin functions as a protective barrier against the external environment. The inflammatory response triggered by tissue damage is thought to play both positive (e.g., pathogen-killing) and negative (e.g., scarring) roles in repair [1Martin P. D’Souza D. Martin J. Grose R. Cooper L. Maki R. McKercher S.R. Wound healing in the PU.1 null mouse—tissue repair is not dependent on inflammatory cells.Curr. Biol. 2003; 13: 1122-1128Abstract Full Text Full Text PDF PubMed Scopus (413) Google Scholar, 2Stramer B.M. Mori R. Martin P. The inflammation-fibrosis link? A Jekyll and Hyde role for blood cells during wound repair.J. Invest. Dermatol. 2007; 127: 1009-1017Abstract Full Text Full Text PDF PubMed Scopus (189) Google Scholar, 3Silva M.T. When two is better than one: macrophages and neutrophils work in concert in innate immunity as complementary and cooperative partners of a myeloid phagocyte system.J. Leukoc. Biol. 2010; 87: 93-106Crossref PubMed Scopus (215) Google Scholar]. Inflammatory resolution mediators such as chemerin15 (C15) control the magnitude and duration of the inflammatory response; however, their role in wound repair and scarring is unknown [4Gilroy D.W. Lawrence T. Perretti M. Rossi A.G. Inflammatory resolution: new opportunities for drug discovery.Nat. Rev. Drug Discov. 2004; 3: 401-416Crossref PubMed Scopus (642) Google Scholar, 5Serhan C.N. Brain S.D. Buckley C.D. Gilroy D.W. Haslett C. O’Neill L.A. Perretti M. Rossi A.G. Wallace J.L. Resolution of inflammation: state of the art, definitions and terms.FASEB J. 2007; 21: 325-332Crossref PubMed Scopus (847) Google Scholar, 6Cash J.L. Bena S. Headland S.E. McArthur S. Brancaleone V. Perretti M. Chemerin15 inhibits neutrophil-mediated vascular inflammation and myocardial ischemia-reperfusion injury through ChemR23.EMBO Rep. 2013; 14: 999-1007Crossref PubMed Scopus (40) Google Scholar, 7Cash J.L. Christian A.R. Greaves D.R. Chemerin peptides promote phagocytosis in a ChemR23- and Syk-dependent manner.J. Immunol. 2010; 184: 5315-5324Crossref PubMed Scopus (55) Google Scholar, 8Cash J.L. Hart R. Russ A. Dixon J.P. Colledge W.H. Doran J. Hendrick A.G. Carlton M.B. Greaves D.R. Synthetic chemerin-derived peptides suppress inflammation through ChemR23.J. Exp. Med. 2008; 205: 767-775Crossref PubMed Scopus (303) Google Scholar]. Here, we show that the C15 precursor, chemerin, and its receptor, ChemR23, are both upregulated after skin damage and that the receptor is expressed by macrophages, neutrophils, and keratinocytes. Dynamic live-imaging studies of murine cutaneous wounds demonstrate that C15 delivery dampens the immediate intravascular inflammatory events, including platelet adhesion to neutrophils, an important event in driving leukocyte recruitment. C15 administration indirectly accelerates wound closure while altering fibroblast-mediated collagen deposition and alignment to reduce scarring. Macrophage recruitment is restricted to the immediate wound site rather than spilling extensively into the adjacent tissue as in control wounds, and macrophage phenotype in C15-treated wounds is skewed toward a less inflammatory phenotype with reduced iNOS, increased Arginase-1, and lower wound tumor necrosis factor α (TNF-α) expression. Modulation of inflammatory resolution pathways in acute and chronic wounds may therefore provide a novel therapeutic avenue to improve repair and reduce scarring.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.332
Teacher spread0.299 · 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 designNot applicable
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

Citations72
Published2014
Admission routes1
Has abstractyes

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