Depot-Specific Differences in Adipogenic Progenitor Abundance and Proliferative Response to High-Fat Diet
Why this work is in the frame
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Bibliographic record
Abstract
White adipose tissue (fat) is the primary organ for energy storage and its regulation has serious implications on human health. Excess fat tissue causes significant morbidity, and adipose tissue dysfunction caused by excessive adipocyte hypertrophy has been proposed to play a significant role in the pathogenesis of metabolic disease. Studies in both humans and animal models show that metabolic dysfunction is more closely associated with visceral than subcutaneous fat accumulation. Here, we show that in mice fed a high-fat diet, visceral fat (VAT) grows mostly by hypertrophy and subcutaneous fat (SAT) by hyperplasia, providing a rationale for the different effects of specific adipose depots on metabolic health. To address whether depot expansion is controlled at the level of stem/progenitor cells, we developed a strategy to prospectively identify adipogenic progenitors (APs) from both depots. Clonogenic assays and in vivo bromodeoxyuridine (BrdU) studies show that APs are eightfold more abundant in SAT than VAT, and that AP proliferation is significantly increased in SAT but not VAT in response to high-fat diet. Our results suggest that depot-specific differences in AP abundance and proliferation underlie whether a fat depot expands by hypertrophy or hyperplasia, and thus may have important implications on the development of metabolic disease. In addition, we provide the first evidence that dietary inputs can modulate the proliferation of adipogenic progenitors in adults.
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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 | 0.000 | 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) | 0.000 | 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 it