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Record W2018664083 · doi:10.1038/oby.2010.209

Blood Gene Expression Reveal Pathway Differences Between Diet‐Sensitive and Resistant Obese Subjects Prior to Caloric Restriction

2010· article· en· W2018664083 on OpenAlexafffund
Sujoy Ghosh, Robert Dent, Mary‐Ellen Harper, Joan Stuart, Ruth McPherson

Bibliographic record

VenueObesity · 2010
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of OttawaOttawa Hospital
FundersNational Heart, Lung, and Blood InstituteHeart and Stroke Foundation of CanadaGlaxoSmithKline
KeywordsCaloric theoryOxidative phosphorylationWeight lossMedicineEndocrinologyInternal medicineObesityGene expressionDownregulation and upregulationGeneBiologyGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Weight loss in response to caloric restriction displays significant interindividual heterogeneity. To develop early predictors of weight-loss success, we have compared whole-blood gene expression profiles of obese, diet-sensitive vs. obese, diet-resistant subjects prior to the initiation of clinically supervised caloric restriction. Pathway enrichment analysis of gene expression profiles by multiple applications converged on the "oxidative phosphorylation" (OXPHOS) pathway, and to a lesser extent the "proteasome" pathway, as statistically significantly upregulated in obese, diet-sensitive subjects compared to the diet-resistant subjects. The finding of increased OXPHOS is consistent with earlier observations of increased proton leak, increased expression of OXPHOS genes, and increased oxidative muscle fibers in skeletal muscle of obese, diet-sensitive subjects. The current study further highlights the utility of blood as a sentinel tissue reflecting systemic states and provides a potential modality to predict future weight-loss success, relevant to the design of individualized bariatric treatment programs.

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 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 score0.509
Threshold uncertainty score0.598

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 integrity0.0000.000
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 head0.017
GPT teacher head0.252
Teacher spread0.235 · 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

Citations39
Published2010
Admission routes2
Has abstractyes

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