Variations in fatty acid synthesis and desaturation in dogs receiving normal and high sugar diets using on‐line gas chromatography/pyrolysis/isotope ratio mass spectrometry
Bibliographic record
Abstract
De novo lipogenesis plays a key role in the hypertriglyceridemia associated with type‐2 diabetes. Kinetic approaches are needed to study the effectiveness of potential treatment interventions for this aspect of the disease. Therefore, the objective of this study was to evaluate the effects of dietary sugar on synthesis and desaturation of palmitic, stearic and oleic acids in dogs using stable isotope techniques. Twelve dogs were randomized to a high sugar or low sugar diet and orally administered deuterated water (D 2 O) following consumption of the treatment diet. Blood samples were taken 1 hour before and 1, 2, 4, 6, 8 hours post D 2 O administration. Deuterium incorporation into newly synthesized fatty acids was assessed using GC/TC/IRMS. Plasma concentrations of palmitic, stearic and oleic acids in both groups remained similar over the 8 hours while deuterium enrichment of fatty acids increased linearly. Deuterium enrichment in the high sugar group was 3, 4 and 10‐fold higher for palmitic, stearic and oleic acids, respectively, compared to controls (P < 0.05). The palmitic and stearic acid plasma pools (enrichment/μg) reached plateau enrichment after 6 hours however enrichment of the oleate pool continued in increase at 8 hours. These findings demonstrate the usefulness of this model for the study of both perturbations and therapeutic interventions in de novo synthesis of fatty acids. Sponsored by Merck Frosst &Co, Canada .
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 | 0.001 |
| 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".