Hepatic synthesis of palmitate and oleate during the postprandial period is suppressed in response to low fat/high carbohydrate intake in subjects with type 2 diabetes
Bibliographic record
Abstract
The objective of this research was to determine whether diabetes and/or low fat intake would increase postprandial de novo lipogenesis of saturated fatty acids (FAs), negatively affecting VLDL‐triglyceride composition. It was hypothesized that low fat/high carbohydrate intake, particularly in diabetes, would result in higher hepatic synthesis of total and saturated FAs. A short‐term low glycemic/low fat diet was compared to a high oleate/high fat diet in seven subjects with type 2 diabetes mellitus and 7 matched non‐diabetic control subjects in a blinded randomized crossover design. For the first time in humans, de novo synthesis of myristate, palmitate, palmitoleate and oleate was estimated using deuterium incorporation techniques. The synthesis of all FAs increased significantly during the postprandial period, but there was large variation in synthetic rates. Myristate exhibited the highest rate of synthesis, whereas palmitate was the major net de novo FA synthesized. The lower fat diet acutely stimulated FA synthesis in control but not diabetic subjects. These results indicate a lack of short term lipogenic response to dietary carbohydrate in diabetes subjects. Funded by the CDA and CIHR. Nutrition & Metabolism Biochemistry of Vitamins and Minerals (400‐ASN) Energy and Nutrient Metabolism (401‐ASN) Human and Clinical Nutrition (402‐ASN) Metabolic and Disease Processes (403‐ASN) Late Breaking Category ‐ Nutrition & Metabolism 400‐ASN Biochemistry of Vitamins and Minerals 401‐ASN Energy and Nutrient Metabolism 402‐ASN Human and Clinical Nutrition 403‐ASN Metabolic and Disease Processes Abstract 870 Grant Funding Source Canadian Diabetes Association
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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) | 0.001 | 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".