Altered fatty acid metabolism and composition in cultured astrocytes under hyperammonemic conditions
Bibliographic record
Abstract
In vitro 1H- and 13C-NMR spectroscopy was used to investigate the effect of ammonia on fatty acid synthesis and composition in cultured astrocytes. Cells were incubated 3 and 24 h with 5 mM ammonia in the presence or absence of the glutamine synthetase inhibitor methionine sulfoximine. An increase of de novo synthesized fatty acids and the glycerol subunit of lipids was observed after 3 h treatment with ammonia (35% and 40% over control, respectively), the initial time point examined. Both parameters further increased significantly to 85% and 60% over control after 24 h ammonia treatment. Three hours incubation with ammonia increased the synthesis of diacylglycerides, while formation of triacylglycerides was decreased (40% over and 15% under control, respectively). The degradation of fatty acids was not affected by ammonia treatment. Furthermore, ammonia caused alterations in the composition of fatty acids, e.g. increased mono- and decreased polyunsaturated fatty acids (85% over and 15% under control concentrations, respectively). The decrease of polyunsaturated fatty acids was even more pronounced in isolated astrocytic mitochondria (39% lower than controls). Our results suggest ammonia-induced abnormalities in astrocytic membranes, which may be related to astrocytic mitochondrial dysfunction in hyperammonemic states. Most of the observed effects of ammonia on fatty acid synthesis and composition were ameliorated when glutamine synthetase was inhibited by methionine sulfoximine, supporting a pathological role of glutamine in ammonia toxicity. This study further emphasizes the importance of investigating the relative contribution of exogenous ammonia, effects of glutamine and of glutamine-derived ammonia on astrocytes and astrocytic mitochondria.
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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) | 0.000 | 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".