1866-P: Adipocyte Hypertrophy Is Associated with Increased Dietary Fatty Acid Storage in Adipose Tissue and Reduced Postprandial Hepatic Fatty Acid Uptake and Esterification in Humans
Bibliographic record
Abstract
Introduction: Excessive exposure of lean tissues to nonesterified fatty acids (NEFA) leads to insulin resistance (IR). Adipocyte hypertrophy is associated with IR and increase in adipose tissue intracellular triglyceride lipolysis and in NEFA levels, that may contribute to hepatic steatosis and IR. The effect of adipocyte hypertrophy on postprandial hepatic NEFA flux and metabolism and dietary fatty acids (DFA) storage in adipose tissues has not been studied, however. Methods: In 28 healthy adult subjects, fat cell size (FCS) was determined via histomorphologic analysis of abdominal subcutaneous fat tissue. Adipose tissue DFA storage was measured using oral administration of 18FTHA with positron emission tomography (PET). Postprandial hepatic NEFA uptake, oxidation, and esterification were determined using intravenous 11C-palmitate with dynamic PET acquisition. Results: As expected, FCS was correlated positively with fasting glycemia (ρ=0.44, P-value=0.029), homeostasis model assessment-estimated insulin resistance (HOMA-IR) (ρ=0.43, P-value=0.049), and hepatic fat content from CT radiodensity (ρ=0.32, P-value=0.10). FCS was correlated positively with DFA storage in intra-abdominal adipose tissues (ρ=0.48, P-value=0.022) and negatively with postprandial hepatic NEFA uptake (ρ=-0.42, P-value=0.027) and esterification (ρ=-0.58, P-value=0.0080). Conclusion: Adipocyte hypertrophy is associated with increased DFA storage in intra-abdominal adipose tissues and reduced postprandial hepatic NEFA uptake and esterification, despite being associated with greater hepatic fat content, fasting glycemia and HOMA-IR. Adipocyte hypertrophy is thus associated with adipose tissue metabolic adaptation that limits the exposure of the liver to fatty acids in the postprandial period. Disclosure R. Ye: None. S. Phoenix: None. C. Noll: None. E. Montastier: None. F. Frisch: None. L. Bouffard: None. M. Amrani: None. E.E. Turcotte: None. A.C. Carpentier: Advisory Panel; Self; HLS Therapeutics, Inc. Funding Canadian Institutes of Health Research (MOP53094); Centre de recherche du CHUS; Centre d’imagerie moléculaire de Sherbrooke; Faculté de médecine et des sciences de la santé de l’Université de Sherbrooke
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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) | 0.013 | 0.002 |
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".