721-P: Exercise Training Alters Subcutaneous Adipose Tissue Morphology in Obese Adults Even without Weight Loss
Bibliographic record
Abstract
Many metabolic health complications in obese adults are linked to abnormalities within their enlarged adipose tissue mass, which include hypertrophic adipocytes, a fibrotic extracellular matrix (ECM), and suppressed capillary density. Exercise training is a first-line treatment for obesity-related diseases, but the direct effects of exercise on adipose tissue structure and metabolic function remain unclear. The purpose of this study was to determine the effects of moderate-intensity continuous training (MICT) and high-intensity interval training (HIIT) on subcutaneous adipose tissue morphology. 17 obese adults were randomly assigned to 12 weeks (4 days/week) of MICT (45 minutes at 70% HRmax, n=9) or HIIT (10 X 1 minutes at 90% HRmax, 1 minute recovery, n=8) and were required to maintain their body weight throughout. Abdominal subcutaneous adipose tissue biopsy samples were collected before and after training for histological and immunoblot measures to assess adipocyte cell size, markers of ECM remodeling and capillarization. Aerobic fitness (VO2peak) improved ∼10% in both MICT and HIIT (P<0.001), while body weight and fat mass remained unchanged, as designed. However, even in the absence of weight loss, adipocyte size decreased slightly (∼10%), yet significantly after training (P=0.04). The reduction in adipocyte cell size in HIIT was accompanied by a significant increase in the protein abundance of a key adipogenic regulator, CEBPα (P=0.03). Exercise training also induced a strong trend for a reduction in the abundance of collagen 6a (P=0.07). We also found a strong trend for HIIT to increase the protein abundance of the angiogenic regulator VEGFα (P=0.06), although this did not translate to a measurable increase in capillarization. In summary, exercise training, perhaps especially HIIT, may increase adipogenic and angiogenic capacity in adipose tissue, as well as trigger adipose ECM remodeling. Disclosure C. Ahn: None. B.J. Ryan: None. J.B. Gillen: None. A. Ludzki: None. M.W. Schleh: None. B.A. Reinheimer: None. J.F. Horowitz: Research Support; Self; American Diabetes Association. Funding National Institutes of Health (R01DK077966, P30DK089503, T32DK007245); Canadian Institutes of Health Research (DFS146190)
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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".