230-OR: Exercise Training Improved Antilipolytic Sensitivity to Insulin in Obese Adults with Low Sensitivity to Insulin before Training
Bibliographic record
Abstract
Low sensitivity to the antilipolytic effects of insulin in adipose tissue has been linked with impaired insulin-mediated glucose uptake in skeletal muscle. The aims of this study were: 1) to compare adipose tissue morphology in obese adults with high- (HIGH) vs. low-sensitivity (LOW) to the antilipolytic effects of insulin, and 2) compare the effects of exercise training on adipose tissue from HIGH vs. LOW subjects. Using isotopic dilution methods before and during a hyperinsulinemic-euglycemic clamp, we measured the antilipolytic response to insulin in a total of 36 obese adults - and we identified sub-cohorts of 13 LOW (64±7% lipolytic suppression by insulin; BMI: 34±4kg/m2) and 13 HIGH (82±3% lipolytic suppression by insulin; BMI:33±3kg/m2). Abdominal subcutaneous adipose tissue (aSAT) samples were collected before the clamp (non-insulin stimulated). Measurements were made before and after a 12-week endurance exercise training program (4 days/week). Before training, capillary density (# of capillaries/mm2) in aSAT samples for LOW was significantly lower than HIGH (p=0.004). Collagen abundance in aSAT extracellular matrix (ECM) was lower in LOW (p=0.013). In response to training, the antilipolytic response to insulin was significantly improved in LOW (72±5% lipolytic suppression by insulin; p<0.001) but not HIGH. This was accompanied by an increased capillary density (p=0.03), and collagen abundance in ECM (p = 0.02), along with a slight reduction in fat mass (1±1kg; p=0.05). Adipocyte size was reduced in both groups (p=0.02). In summary, aSAT from obese adults with low antilipolytic sensitivity to insulin displayed lower capillarization and ECM collagen abundance compared with obese adults with high sensitivity to the antilipolytic effects of insulin. Importantly, morphological adaptations to exercise training accompanied an increased antilipolytic sensitivity to insulin in subjects with low antilipolytic sensitivity before training. Disclosure C. Ahn: None. M. W. Schleh: None. B. J. Ryan: None. A. Ludzki: None. P. Varshney: None. J. B. Gillen: None. S. Chen: None. J. F. Horowitz: None. Funding National Institutes of Health (R01DK077966, P30DK089503, T32DK007245, F32DK117522); Canadian Institutes of Health Research (DFS146190, 338735)
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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) | 0.003 | 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".