<b><i>O</i></b>‐acetylation of sialic acids in <b><i>N</i></b>‐glycans of Atlantic salmon (<b><i>Salmo salar</i></b>) serum is altered by handling stress
Bibliographic record
Abstract
O-acetylation is one of the major modifications of sialic acids that significantly alters biological properties of the parent molecule. These O-acetylated forms are components of the cellular membrane and can affect physiological and pathological responses. Understanding the role of N-glycans in physiology is of increasing relevance to cellular biologists in various disciplines who study glycoproteomics yet lack information regarding the function of the attached glycans. It is well known that stress may decrease immune function in fish; however, there are only few suitable biomarkers available to monitor the physiological responses under the stress conditions. This study is the first report on the effect of stress on the profile of O-acetylation of sialic acids in fish serum. In order to preserve the relevant structural characteristics as much as possible, native N-glycans were directly analyzed using CE-MS. We have characterized the N-glycans in serum of salmon (Salmo salar) exposed to long-term handling stress (15 s out of the water, daily for 4 wk) and compared with the results obtained from sera of control fish. The results indicated that major N-glycans in salmon serum contained mono-acetylated sialic acids (83%), and that the O-acetylation pattern of sialic acids could be altered by long-term stress.
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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".