MétaCan
Menu
Back to cohort
Record W2072076890 · doi:10.1055/s-0030-1263124

The Anti-adipogenic Effect of Macrophage-conditioned Medium Requires the IKKβ/NF-κB Pathway

2010· article· en· W2072076890 on OpenAlexaff
Michelle N. Yarmo, AnneMarie Gagnon, Alexander Sorisky

Bibliographic record

VenueHormone and Metabolic Research · 2010
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsAdipogenesisIκB kinaseMacrophageEndocrinologyNF-κBInternal medicineChemistryIκBαTHP1 cell lineCell biologySignal transductionAdipose tissueBiologyCell cultureIn vitroMedicineBiochemistry

Abstract

fetched live from OpenAlex

Macrophage-secreted factors inhibit adipogenesis, but the underlying mechanism is not well understood. Our objective was to determine if anti-adipogenic signaling pathways in human preadipocytes are activated by macrophage-conditioned medium (MacCM). Human abdominal subcutaneous stromal preadipocytes were treated with adipogenic inducers in either standard medium or medium conditioned by human THP-1 macrophages. THP-1-MacCM increased inhibitor of κB kinase β (IKKβ) phosphorylation, inhibitor of NF-κB α (IκBα) degradation, and NF-κB activity in human preadipocytes in a time-dependent manner. Concomitant treatment of human abdominal subcutaneous preadipocytes with sc-514, a selective inhibitor of IKKβ, prevented the inhibitory effect of THP-1-MacCM on lipid accumulation and expression of adipogenic markers. Our data indicate that activation of the preadipocyte IKKβ/NF-κB pathway is required for the anti-adipogenic effect of THP-1-MacCM on human adipogenesis.

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)0.005
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.020
GPT teacher head0.329
Teacher spread0.309 · 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

Citations11
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueHormone and Metabolic ResearchSame topicAdipokines, Inflammation, and Metabolic DiseasesFrench-language works237,207