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Record W3082941074 · doi:10.1111/exd.14181

Dermal adipocytes contribute to the metabolic regulation of dermal fibroblasts

2020· article· en· W3082941074 on OpenAlexfundno aff
Zhuzhen Zhang, Ilja L. Kruglikov, Shangang Zhao, Zhenzhen Zi, Christy Gliniak, Na Li, May-Yun Wang, Qingzhang Zhu, Christine M. Kusminski, Philipp E. Scherer

Bibliographic record

VenueExperimental Dermatology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSkin and Cellular Biology Research
Canadian institutionsnot available
FundersNational Institute on AgingNational Institute of Diabetes and Digestive and Kidney DiseasesFonds de Recherche du Québec - SantéNovo Nordisk Fonden
KeywordsDermisParacrine signallingExtracellular matrixAdipocyteCell biologyAdipose tissueReticular DermisChemistryAdipogenesisAutocrine signallingLipolysisLipid dropletBiologyInternal medicineEndocrinologyAnatomyBiochemistryMedicineReceptor

Abstract

fetched live from OpenAlex

Dermal fibroblasts are an essential population of skin cells. They are not only responsible for synthesis and remodelling of the extracellular matrix of the dermis, but also communicate with other skin cells via autocrine and paracrine interactions. Skin-associated dermal adipocytes reside below the reticular dermis. Strong lipolysis is observed during the regression of dermal adipocytes. However, the nature of the local intercellular crosstalk in which lipids released by dermal adipocytes affecting the metabolism of adjacent skin fibroblasts has not yet been examined. With the use of a series of novel mouse models that allow us to manipulate adipocytes, we demonstrate that dermal adipocytes can modulate the structure of the dermis through regulating extracellular matrix production in dermal fibroblasts. Fatty acids released by dermal adipocytes are involved in this process. Our observations offer new in vivo insights into the role of dermal adipocyte-derived lipids in influencing metabolism of adjacent local cells in the skin through a paracrine effect in the microenvironment of the dermal adipocyte.

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 score0.001
Threshold uncertainty score0.005

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.273
Teacher spread0.260 · 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

Citations36
Published2020
Admission routes1
Has abstractyes

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