Circulating Amino Acid Changes Three Years After Bariatric Surgery
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Studies using metabolomics to study bariatric surgery have shown that amino acids are one of the most changed groups of metabolites after the intervention. However, the surgery-related variation in individual amino acids, as well as the long-term impact and the differences between the types of surgeries, have been poorly studied. The aim of this study was to investigate the changes in circulating amino acids after three types of bariatric surgery up to 36 months after the intervention. METHODS: We studied 63 participants diagnosed with T2D at baseline, who received either a sleeve gastrectomy, a Roux-en-Y gastric bypass or a biliopancreatic diversion with duodenal switch. We measured the concentrations of 16 circulating amino acids in fasting plasma before the surgery as well as after 4, 12, 24 and 36 months via liquid chromatography coupled with mass spectrometry (LC-MS/MS). RESULTS: Eleven circulating amino acids were significantly modified by bariatric surgery. Glutamate, leucine and isoleucine showed the greatest decrease. Most of the changes in circulating amino acids occurred within 1 year of the operations. Only one measured plasmatic amino acid (threonine) had a significantly different change pattern according to surgery types. In repeated-measure correlations, changes in circulating amino acids were significantly associated with changes in adiposity and metabolic markers. CONCLUSIONS: Bariatric surgery changes the levels of most circulating amino acids, and the effect occurs in the short term without major differences between surgery types. The mechanisms explaining these changes are not elucidated but likely include modifications in amino acid metabolism.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".