Pancreatic Acinar and Islet Cell Infection by Low-Dose SV40 Administration
Bibliographic record
Abstract
OBJECTIVES: Viral vector uptake into the pancreas is rare. The few viral vectors reported to transduce in vivo pancreatic islets after systemic injection required additional physical measures, such as direct pancreatic injection or hepatic vessel clamping. Because pancreatic islet uptake of the human polyomavirus family member BK virus was previously reported in hamsters after systemic administration, we hypothesized that SV40, a polyomavirus member remarkably similar to BK virus, may also infect the pancreas. METHODS: We injected intravenously a low dose of SV40, unaided by any other physical or chemical means, and evaluated viral uptake by pancreatic islets and pancreatic exocrine tissue via polymerase chain reaction, Western blot, electron microscopy, immunofluorescent microscopy, and protein A-gold immunocytochemistry. RESULTS: Pancreatic uptake of SV40 was comparable to other major organs (ie, liver and spleen). SV40 viral particles were detected in both pancreatic islets and acini. In pancreatic islets, all islet cell types were infected by SV40, albeit the infection rate of glucagon-producing alpha cells surpassed beta- and delta-islet cells. Low-dose SV40 administration was not sufficient to induce heterologous gene expression in the pancreas. CONCLUSIONS: Our study shows that pancreatic islet and acinar cell uptake of SV40 is feasible with a single, low-dose intravenous injection. However, this dose did not result in gene delivery into the murine pancreas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".