Tertiary butylhydroquinone regulates oxidative stress in spleen injury induced by gas explosion via the Nrf2/HO-1 signaling pathway
Bibliographic record
Abstract
Gas explosion is a recurrent event in coal mining that cause severe spleen damage. This study aimed to investigate the role and mechanism of oxidative stress in gas explosion-induced spleen injury. 120 male Sprague-Dawley (SD) rats were randomly divided into a control group (NC), a gas explosion-induced spleen injury model group (Model), an Nrf2 inhibitor group (Model + ATRA), and an Nrf2 induction group (Model + TBHQ). After explosion, the rats of the inhibitor group and induction group were immediately given intraperitoneal injection of all-trans-retinoicacid (ATRA, 5 mg/kg) or tertiary butylhydro-quinone (TBHQ, 1 mg/kg) once. Then, the rats were anesthetized with blood taken from the abdominal aorta at 24 h, 72 h and 7 days. The results showed that gas explosion reduced the spleen index. The expression of oxidative stress-related genes and proteins Nrf2, HO-1, COX2 and GPX4 were increased significantly (P < 0.05) after gas explosion. Compared with the model group, TBHQ improved the spleen index, and reduced inflammation. Moreover, the expression of inflammatory factor IL-6 and ROS was decreased (P < 0.05), HMOX1 and the expression of oxidative stress-related genes and proteins were increased (P < 0.05), but the opposite results were observed in the inhibitor group. Taken together, we firstly found that TBHQ may regulate the degree of oxidative stress in spleen injury induced by gas explosion through the Nrf2/HO-1 signaling pathway.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".