Chronic Pancreatitis Is Characterized by Elevated Circulating Periostin Levels Related to Intra-Pancreatic Fat Deposition
Bibliographic record
Abstract
BACKGROUND: Periostin is a matricellular protein that induces fibrillogenesis and activates cell migration. It is overexpressed in common fibrotic diseases and is also associated with abdominal adiposity/ectopic fat phenotypes. The study aimed to investigate circulating levels of periostin in health and after an attack of pancreatitis, as well as their associations with abdominal adiposity/ectopic fat phenotypes. METHODS: Blood samples were obtained from healthy controls, as well as definite chronic pancreatitis (CP) and acute pancreatitis (AP) individuals during follow-up visits. Fat depositions in the pancreas, liver, skeletal muscle, as well as visceral and subcutaneous fat volumes, were quantified with the use of magnetic resonance imaging. A series of multivariable analyses were conducted, accounting for possible confounders. RESULTS: A total of 121 individuals were included. Periostin levels were significantly higher in the CP group compared with the other groups in both unadjusted (F = 3.211, P = 0.044) and all adjusted models (F = 4.165, P = 0.019 in the most adjusted model). Intra-pancreatic fat deposition (but not the other fat phenotypes) was significantly associated with periostin concentration in the CP group (β = 49.63, P = 0.034) and explained most of its variance (32.0%). CONCLUSIONS: Individuals with CP, but not healthy individuals or those after clinical resolution of AP, are characterized by elevated circulating levels of periostin that are positively associated with intra-pancreatic fat deposition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".