Blood Gene Expression Reveal Pathway Differences Between Diet‐Sensitive and Resistant Obese Subjects Prior to Caloric Restriction
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".