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Record W4411545552 · doi:10.1016/j.molmet.2025.102193

Creatine kinase B mediates UCP1-independent beige fat thermogenesis via the futile creatine cycle in mice

2025· article· en· W4411545552 on OpenAlexafffund
Jakub Bunk, Mohammed F. Hussain, Bożena Samborska, Maria Guerra-Martinez, Lawrence Kazak

Bibliographic record

VenueMolecular Metabolism · 2025
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsMcGill University
KeywordsThermogenesisEndocrinologyInternal medicineBiologyThermogeninCreatine kinaseKinaseMedicineAdipose tissueCell biology

Abstract

fetched live from OpenAlex

OBJECTIVES: Creatine kinase B (CKB) is the main isoenzyme driving creatine kinase (CK) activity in classical brown adipocytes. However, the specific CK isoenzyme active in beige adipocytes remains unknown. This study aimed to identify the predominant CK isoenzyme expressed and functionally active in beige adipocytes. METHODS: CK activity was tracked using D3-creatine tracing in inguinal adipocytes from mice with adipocyte-specific Ckb deletion and their littermate controls, across in vivo and in vitro settings. RESULTS: CKB was essential for CK activity in protein lysates and intact white and beige adipocytes isolated from inguinal fat and drives thermogenesis through the Futile Creatine Cycle. CONCLUSIONS: Similar to classical brown adipocytes, CKB is the key functional CK isoenzyme in white and beige adipocytes from the inguinal fat depot.

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)0.001
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.255
Teacher spread0.249 · 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

Citations6
Published2025
Admission routes2
Has abstractyes

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