Detection of<i>N</i>‐acetyl methionine in human and murine brain and neuronal and glial derived cell lines
Bibliographic record
Abstract
Despite the fact that N-acetyl methionine (NAM) supplementation has long been reported as a bioavailable source of methionine in humans, and known to reduce liver toxicity after acetaminophen overdose, its cellular endogenous presence has never been investigated. We demonstrate for the first time that NAM is present in both human and mouse tissues and cells in culture. A wide variety of cultured cells, including a number of brain derived cell types, as well as mouse and human brain tissue all have clearly detectable levels of NAM. Methionine is rapidly acetylated to form NAM in cultured human oligodendroglioma cells with an initial rate of 0.44 ± 0.064 atom percent excess per minute. The presence of measurable quantities of NAM in brain cells in combination with its rapid formation point to a potential physiological role for N-acetylated methionine in the brain. Aminoacylase 1 is responsible for metabolism of NAM to methionine and acetate. Deficiencies in aminoacylase 1 have been linked to a variety of neurological disorders; however, it is unclear whether and how the brain is affected by this defect. The reported presence of NAM in the human brain may provide an invaluable key to discovering the link between aminoacylase 1 mutations and neurological problems.
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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 | 0.001 | 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 | 0.001 |
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".