Adipose Tissue Metabolism in Young and Middle-Aged Men after Control for Total Body Fatness<sup>1</sup>
Bibliographic record
Abstract
The aim of this study was to compare the sc adipose tissue metabolism of young (29 +/- 4 yr) vs. middle-aged men (57 +/- 5 yr), once the concomitant variation in total adiposity was taken into account. For this purpose, sc abdominal and femoral adipose tissue lipoprotein lipase activities, as well as fat cell lipolytic responses, were investigated in 2 groups of 16 men, differing in age but displaying similar adipose tissue mass (within 2 kg) and sc abdominal adipose tissue area, measured by computed tomography (within 15 cm2). No difference was observed in adipose tissue lipoprotein lipase activity of young vs. middle-aged subjects, regardless of the adipose region considered. Epinephrine induced antilipolysis at low concentrations (10(-9) to 10(-7) mol/L) and a net lipolytic response at higher doses (10(-6) to 10(-5) mol/L), regardless of the subjects' age and the anatomic location of fat. In addition, the selective alpha2-adrenergic agonist, UK-14304, promoted a similar antilipolytic response in sc abdominal and femoral adipose cells from both groups. However, maximal lipolysis induced by isoproterenol (beta-adrenergic agonist) or by postadrenoceptor agents such as dibutyryl-cAMP, forskolin, and theophylline were lower in both adipose regions of middle-aged (as compared with young) men. No difference in the beta- or the alpha2-adrenoceptor sensitivity of sc adipose cells was observed between groups. These results indicate that there is, with age, a selective decrease in the lipolytic capacity to beta-adrenergic agonist, which seems to be caused by postadrenoceptor impairments. Because subjects in the 2 age-groups displayed similar body fatness, these alterations are independent from the age-expected increase in total adiposity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".