Adenovirus-Based Transient Expression Systems for Peritoneal Membrane Research
Bibliographic record
Abstract
BACKGROUND: Peritoneal membrane research has provided important insights into the physiology and pathophysiology of this tissue that is of vital importance for peritoneal dialysis patients. Among the various tools and methodologies used to study the peritoneum, we have extensively used adenovirus-mediated gene transfer. METHODS: A literature review was carried out. Information from reviewed papers was combined with the authors' experience and results. RESULTS: We have used first-generation adenoviruses that are simple to construct and can infect a wide range of dividing and nondividing cell types. These vectors are restricted, however, in that they provide only a short duration of transgene expression and may elicit an inflammatory response. Modifications to this technology with helper-dependent adenovirus may circumvent these problems but with increased complexity of construction. Adenovirus-mediated gene transfer has been used to evaluate the effect of several cytokines and growth factors on peritoneal membrane physiology. We have used intraperitoneal delivery of transforming growth factor-beta to generate an experimental model system of resolving peritoneal fibrosis and epithelial mesenchymal transdifferentiation. We have studied the effects of the inflammatory cytokines interleukin-1beta and tumor necrosis factor alpha on the peritoneum, and have shown that antiangiogenic factors such as sFLT-1 and angiostatin can reduce the damaging effects of exposure to peritoneal dialysis solutions in an animal model. CONCLUSIONS: The use of recombinant adenoviruses to genetically modify cells and tissues is now a common laboratory research tool. This technique has provided important advances in our understanding of the peritoneal membrane.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".