Global gene expression profiles of subcutaneous adipose tissue in obese and non-obese young men
Bibliographic record
Abstract
Objective: The current study was designed to compare global gene expression profiles of subcutaneous adipose tissue (SCAT) from obese and non-obese young men using whole human genome microarrays. -- Research methods and procedures: Sixteen healthy young men aged 20-27 participated in the study. Total RNA was isolated from SCAT, and competitively hybridized with a universal human reference RNA to Agilent's 44K whole human genome chip. A paired study design was used; ratios for each obese individual were directly compared to those of a matched non-obese individual. -- Results and Discussion: We identified 114 significantly up-regulated and 204 downregulated genes and transcripts in obese SCAT, 232 of which have defined names. For 181 of the genes with defined names, adipose tissue expression has not been reported previously. Gene Ontology (GO) analysis revealed an over-representation of genes involved in apoptosis, cell adhesion, cellular morphogenesis, and cell growth as up regulated in obese subjects. Genes with functions in the mitochondria, including genes involved in ATP coupled electron transport, were down regulated in obese subjects. Clustering analysis identified a sub-set of 27 genes that was able to accurately distinguish obese from non-obese subjects. Moreover, numerous genes that may influence the rate of lipolysis were also found to be differentially expressed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".