Biliopancreatic diversion with duodenal switch modifies plasma chemerin in early and late post‐operative periods
Bibliographic record
Abstract
OBJECTIVE: Bariatric surgery remains the most effective treatment for obesity and metabolic syndrome. Surgical benefit arises from early-phase resolution of hyperglycemia and late-phase weight loss. The adipokine chemerin is of interest given its roles in immunity, adipogenesis, and metabolism. The study objective was to examine the effects of biliopancreatic diversion with duodenal switch (BPD-DS) on plasma chemerin in the early and late post-operative stages. METHODS: 83 adults with obesity undergoing BPD-DS, 45 obese non-surgical controls, and 9 lean surgical controls were enrolled. Plasma parameters and anthropometric measures were obtained at baseline and at, early (24 h, 5 D) and late (6 months and 12 months) post-operative stages. RESULTS: Plasma chemerin dropped from 176±49 ng/mL at baseline to 132±52 ng/mL 24 h after BPD-DS, rebounded to 200±66 ng/mL after 5 D, and declined to 124±51 and 110±34 ng/mL after 6 and 12 months. Plasma chemerin correlated negatively with measures of inflammation and hepatic injury and positively with measures of obesity, metabolic syndrome, and inflammation in the early and late post-operative periods, respectively. CONCLUSIONS: Chemerin has a novel role in surgical injury but not hyperglycemia resolution early after BPD-DS. Over the long term, plasma chemerin declines to a new set point that is partially determined by body fat reductions.
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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) | 0.001 | 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".