Identification of a vimentin-expressing α-cell phenotype in CF and normal pancreas
Bibliographic record
Abstract
Endocrine dysfunction and diabetes can develop secondary to fibrotic diseases within the pancreas, including cystic fibrosis (CF). A phenotypic shift within epithelial cells has been recognised in association with pro-fibrotic signalling. We sought evidence of endocrine cell epithelial-to-mesenchymal transition in CF and non-CF pancreas. Post-mortem pancreatic sections from 24 people with CF and 10 organ donors without CF or diabetes were stained for insulin/glucagon/vimentin and Sirius red/fast green with collagen distribution assessed semi-quantitatively (CF) and quantitatively (non-CF). Analysis of existing single-cell RNA-sequencing datasets (three adult donors without diabetes and nine with chronic pancreatitis) for α-cell vimentin expression was performed. Cells co-expressing glucagon/vimentin were detected in a proportion (32(4,61)% (median (Q1,Q3))) of islets in all CF pancreata except donors dying perinatally. CF histopathology was characterised by peri-islet fibrosis, and 60(45,80)% of islets were surrounded by collagen strands. A positive correlation between islet fibrosis and vimentin-expressing α-cells was seen in non-CF donors <31 years (r = 0.972; P = 0.006). A possible association with donor age was seen in all donors (r = 0.343; P = 0.047). Single-cell RNA-sequencing analysis of isolated islets from non-diabetic donors and donors with chronic pancreatitis confirmed the presence of vimentin-positive and vimentin-negative α-cells. Differentiated α-cell function-associated gene expression was maintained. Differentially upregulated processes in co-expressing cells included pathways associated with extracellular matrix organisation, cell-cell adhesion, migratory capability and self-renewal. We have identified and characterised an intermediate epithelial/mesenchymal state in a sub-population of α-cells present throughout post-natal life, which may play a role in their response to extrinsic stressors, including fibrosis and ageing.
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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 | 0.000 |
| 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".