Metabolic changes in Atlantic salmon exposed to Aeromonas salmonicida detected by 1H-nuclear magnetic resonance spectroscopy of plasma
Bibliographic record
Abstract
1H-NMR (nuclear magnetic resonance)-based chemometric methods have been applied for the first time to investigate changes in the plasma metabolite profiles of Atlantic salmon Salmo salar as a result of exposure to Aeromonas salmonicida subsp. salmonicida, a Gram-negative bacterium that is the etiological agent of furunculosis. Plasma samples were obtained from salmon that survived 21 d post exposure to A. salmonicida, and from a control group maintained under similar conditions. 1D 1H-NMR spectra were acquired and principal components analysis (PCA) was used to assess differences between the spectral profiles of plasma from salmon that survived an A. salmonicida challenge, and non-infected controls. PCA enables simultaneous comparison of spectra, presenting a simplified overview of the relationship between spectral data, where spectra cluster based on metabolite profile similarities and differences; information regarding the metabolite variations can therefore be readily deciphered. The major metabolite changes responsible for the spectral differences were related to modification in the lipoprotein profile and choline-based residues, with minor changes in carbohydrates, glycerol, trimethylamine-N-oxide and betaine. These changes indicated that exposure to A. salmonicida induced a characteristic biochemical response which could be used to determine the health status of salmon. This study suggests that with further development this metabolite profiling technique may be a useful tool for diagnosis of disease states in salmon and could provide a better understanding of the host-pathogen relationship which at present is poorly understood for A. salmonicida and Atlantic salmon.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".