Proanthocyanidin protects intestine and remote organs against mesenteric ischemia/reperfusion injury
Bibliographic record
Abstract
BACKGROUND Intestinal ischemia/reperfusion (IR) induces a systemic inflammatory response and releases harmful substances that may affect the function and integrity of distant organs such as lung, liver, and kidney. We conducted this study to find out if proanthocyanidins (PA) has protective effects against mesenteric IR injury and mesenteric IR‐induced intestinal and distant organ injury. MATERIALS AND METHODS Thirty‐two Sprague‐Dawley rats were divided into four groups: control, control + PA, IR, IR + PA. The IR and IR + PA groups were subjected to mesenteric arterial ischemia for 60 min and reperfusion for 6 h. The Control + PA and IR + PA groups were administered PA (100 mg/kg/day via oral gavage) for 7 days prior to injury insult. We collected ileal and distant organ tissues, such as pulmonary, hepatic, and kidney specimens to measure tissue levels of malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GPx), and nitrite plus nitrate (NO(x)), and we then evaluated histological changes. RESULTS In the IR group, significant increases in MDA and NO(x) levels and significant increases in SOD and GPx activities of intestine, liver, kidney, and lung were observed. The MDA and NO(x) levels were significantly lower, as were the SOD and GPx activities in the IR + PA group than that in the IR group. Although the intestine and distant organs damage scores were significantly higher in the IR group, these injuries were prevented by PA in the IR + PA group. CONCLUSIONS This study demonstrates that PA has a significant effect in the protection of the intestine and the remote organs against mesenteric IR injury.
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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) | 0.002 | 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".