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Record W2561561024 · doi:10.1002/1873-3468.12550

Adipocyte‐specific disruption of mouse <i>Cnot3</i> causes lipodystrophy

2016· letter· en· W2561561024 on OpenAlex
Xue Li, Masahiro Morita, Chisato Kikuguchi, Akinori Takahashi, Toru Suzuki, Tadashi Yamamoto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFEBS Letters · 2016
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsMcGill UniversityOccupational Cancer Research CentreMcGill University Health Centre
FundersMinistry of Education, Culture, Sports, Science and Technology
KeywordsAdipose tissueLipodystrophyInternal medicineWhite adipose tissueEndocrinologyPRDM16HyperinsulinemiaAdipocyteLeptinInsulin resistanceAdipose tissue macrophagesInflammationBiologyBrown adipose tissueObesityMedicineImmunology

Abstract

fetched live from OpenAlex

Lipodystrophy involves a loss of adipose tissue. In mice, disruption of adipose tissue Cnot3 , a subunit of the CCR 4‐ NOT deadenylase complex, causes adipose tissue anomalies. In Cnot3 ad−/− mice, white adipose tissue ( WAT ) decreases concomitantly with enhanced inflammation, whereas brown adipose tissue increases and contains larger lipid droplets. Cnot3 ad−/− mice show hyperinsulinemia, hyperglycemia, insulin resistance, and glucose intolerance, and cannot maintain body temperature during cold exposure. Increased expression of inflammatory genes and decreased leptin expression also occur in Cnot3 ad−/− WAT , achieving levels similar to those in lipodystrophic aP2‐nSrebp1c and Pparg ldi/+ mice; thus, Cnot3 ad−/− mice exhibit lipodystrophy.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.425
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.007
GPT teacher head0.201
Teacher spread0.194 · 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