ILTS Annual Congress 2019, Toronto, Cananda, May 15-18, 2019
Bibliographic record
Abstract
Background: Liver ischemia-reperfusion injury (IRI) is an inherent pathological process occurring in liver transplantation, which compromises graft, and patient outcomes. The degree of apoptosis is associated with IRI intensity. We hypothesized that silencing of apoptosis-associated genes can alleviate IRI leading to better graft and liver recipients survival rates. Methods: Male Lewis rats were transplanted with a syngeneic liver graft employing an arterialized rat liver transplantation model. A prolonged cold ischemia time (CIT) of 22 hours was established in order to amplify the intensity of the IRI, reflected by the post-transplant transaminases levels. We administered 500ng of FAS siRNA diluted in 1 ml of PBS via the penile vein in donors rats (siRNA-treated group) two hours before the aorta cross clamping. Donors in the control group (Control) received an injection of PBS alone in the same conditions. Blood samples were collected daily until the euthansia at day 3 post-transplant. Results: We performed an initial experiment with 4 animals in each group. All animals survived until day 3 post-transplant. CIT (siRNA-treated: 1293±54min x 1330±60min Control, p=0.39) and anhepatic time (siRNA-treated: 17.00±0,5min x 16.25±1.18min Control, p=0.395) were comparable between the two groups. Recipients of siRNA-treated liver grafts showed lower levels of transaminases on the first day post transplantation with a trend to be statistically significant: AST (siRNA-treated x Control: 1074.00±621.23 IU/L x 2194.50±945 IU/L respectively, p=0.053) and ALT (siRNA-treated x Control: 734.00±464.15IU/L x 1929.50±1344 IU/L respectively, p=0.061). The histological analysis following the Suzuki criteria showed similar IRI damage in both groups. Conclusion: Our preliminary results suggest that silencing of apoptosis-associated genes could be used to alleviate post liver transplantation IRI. Further experiments are necessary to corroborate this therapeutic strategy. Next, we are going to test FAS siRNA organ treatment during liver machine perfusion. (Graph Presented).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.468 | 0.244 |
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".