Downregulation of NADPH oxidase, antioxidant enzymes, and inflammatory markers in the heart of streptozotocin-induced diabetic rats by <i>N</i>-acetyl-<scp>l</scp>-cysteine
Bibliographic record
Abstract
We investigated the effect of N-acetyl-l-cysteine (NAC) on the expression of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase, antioxidant enzymes, and inflammatory markers in diabetic rat hearts. Metabolic parameters, free 15-F(2t)-isoprostane level, protein expression of NADPH oxidase, superoxide dismutase (SOD), heme oxygenase (HO-1), interleukin-6 (IL-6), and cyclooxygenase-2 (COX-2) were analyzed in control and streptozotocin-induced diabetic rats treated with or without NAC in drinking water for 8 wk. The cardiac protein expression of p67(phox) and p22(phox) was increased in diabetic rats, accompanied by increased NADPH-dependent superoxide production. As a compensatory response to the increased NADPH oxidase, the protein expression of Cu-Zn-SOD and HO-1 and the total SOD activity were also increased in diabetic rat hearts. Consequently, cardiac free 15-F(2t)-isoprostane, an index of oxidative stress, was increased in diabetic rats, indicating that the production of reactive oxygen species becomes excessive in diabetic rat hearts. Cardiac inflammatory markers IL-6 and COX-2 were also increased in diabetic rats. NAC treatment prevented the increased expression of p22(phox) and translocation of p67(phox) to the membrane in diabetic rat hearts. Subsequently, the levels of cardiac free 15-F(2t)-isoprostane, HO-1, Cu-Zn-SOD, total SOD, IL-6, and COX-2 in diabetic rats were decreased by NAC. Consequently, cardiac hypertrophy was attenuated in diabetic rats treated with NAC. The protective effects of NAC on diabetic rat hearts may be attributable to its protection of hearts against oxidative damage induced by the increased NADPH oxidase and to its reduction in cardiac inflammatory mediators IL-6 and COX-2.
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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) | 0.001 | 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".