Protective effects of cyclosporine and its analog NIM-811 in a murine model of hepatic ischemia-reperfusion injury
Bibliographic record
Abstract
Background and aim: The liver is susceptible to ischemia-reperfusion injury (IRI) during hepatic surgery, when the vessels are compressed to control bleeding, or liver transplantation, when there is an obligate period of ischemia. The hallmark of IRI comprises mitochondrial dysfunction, which generates reactive oxygen species, and cell death through necrosis or apoptosis. Cyclosporine (CsA), which is a well-known immunosuppressive agent that inhibits calcineurin, has the additional effect of inhibiting the mitochondrial permeability transition pore (mPTP), thereby, preventing mitochondrial swelling and injury. NIM-811, which is the nonimmunosuppressive analog of CsA, has a similar effect on the mPTP. In this study, we tested the effect of both agents on mitigating warm hepatic IRI in a murine model. Materials and methods: Before ischemic insult, the mice were administered with intraperitoneal normal saline (control); CsA at 2.5, 10, or 25 mg/kg; or NIM-811 at 10 mg/kg. Thereafter, the mice were subjected to partial warm hepatic ischemia by selective pedicle clamping for 60 min, followed by 6 h of recovery after reperfusion. Serum alanine transaminase (ALT) was measured, and the liver tissue was examined histologically for the presence of apoptosis and the levels of inflammatory cytokines. Results: = 0.012, 0.007, and <0.001, respectively). Levels of the pro-inflammatory cytokines, particularly interleukin (IL)-1β, IL-2, IL-4, IL-10, and keratinocyte chemoattractant/human growth-regulated oncogene significantly decreased in the mice treated with the highest dose of CsA (25 mg/kg) than those in the control mice. Conclusions: Premedication with CsA or NIM-811 mitigated hepatic IRI in mice, as evidenced by the decreased ALT and reduced injury on histology. These results have potential implications on mitigating IRI during liver transplantation and resection.
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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) | 0.001 | 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 | 0.001 |
| 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".