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Stress-induced senescence of dermal papilla cells restored by synthesized ceramide

2017· preprint· en· W4244915819 on OpenAlexaff
Jung Eun Kim

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsDermal papillaeCeramideSenescenceCell biologyChemistryMajor duodenal papillaAnatomyBiologyBiochemistryHair follicle

Abstract

fetched live from OpenAlex

Background: Dermal papilla cells (DPCs) are known to regulate the cell senescence via regulation of proliferation and apoptosis. Ceramide is a second messenger of bioactive sphingolipid that mediates a variety of cell functions involved in apoptosis, cell differentiation, proliferation and cellular senescence. However, the effects of ceramide on stress-induced senescence of hair follicles were not well identified yet. Objective: We aimed to confirm the effects of ceramide on regulating growth factors including ERK/Akt and Wnt/u03b2-catenin pathway in senescence-induced DPCs. Method: To investigate the ceramide-related pathway, we evaluated how ceramide affects ERK/Akt activation and Wnt/u03b2-catenin signaling in H2O2-treated DPCs. Results: We found that Akt phosphorylation in H2O2-treated DPCs was decreased by ceramide, whereas ERK phosphorylation was significantly upregulated by ceramide. Wnt5a and u03b2-catenin mRNA levels were increased in ceramide alone group. Interestingly, ceramide upregulated the expression of Wnt10b in H2O2-treated DPCs. Conclusion: These results suggest that ceramide may be closely related to the maintenance of hair follicles in senescence environment such as aging or damaging by certain stimuli. Ceramide may be useful for adjunctive material to delay the hair senescence.

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 score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.033
GPT teacher head0.302
Teacher spread0.268 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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