Enriched Human Pancreatic Ductal Cultures Obtained from Selective Death of Acinar Cells Express Pancreatic and Duodenal Homeobox Gene-1 Age-Dependently
Bibliographic record
Abstract
Adult pancreatic ductal cells are believed to be islet precursors. Our aim was to obtain an enriched human ductal cell population in defined culture conditions, and to characterize these cultures for the presence of pancreatic developmental transcription factors. Non-endocrine adult human pancreatic digest was cultured for 4 days in serum-containing and serum-free media. During this time, analysis was done for phenotypic changes, cell death, and expression of islet and islet precursor markers. Culture in serum-supplemented and serum-free media gave similar recoveries of an enriched ductal population after 4 days. Extensive cell death due to apoptosis and necrosis was also observed over this time period. A donor-age dependent expression of pancreatic and duodenal homeobox gene-1 (PDX-1) in ductal cells was seen at 4 days whereby donors <25 yr expressed significantly more than donors >25 yr. Analysis of gene expression by RT-PCR showed the presence of islet developmental transcription factors neuroD, Nkx6.1, and PDX-1, as well as mature islet hormones. While acinar-ductal transdifferentiation of some cells cannot be ruled out, we provide evidence that the predominant mechanism for the derivation of enriched human ductal cultures in our culture conditions is selective acinar cell death. Furthermore, we have shown that ductal cultures from younger donors exhibit greater plasticity through expression of PDX-1, and may be of greater value in attempts to induce islet neogenesis. The presence, however, of insulin and glucagon mRNA indicates that contaminating endocrine cells remain in these cultures and underscores the need to use caution when assessing differentiation potential.
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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) | 0.003 | 0.002 |
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".