Taurine alleviates kidney injury in a thioacetamide rat model by mediating Nrf2/HO-1, NQO-1, and MAPK/NF-κB signaling pathways
Bibliographic record
Abstract
This study investigated the molecular mechanisms by which taurine exerts its reno-protective effects in thioacetamide (TAA) – induced kidney injury in rats. Rats received taurine (100 mg/kg daily, intraperitoneally) either from day 1 of TAA injection (250 mg/kg twice weekly for 6 weeks) or after 6 weeks of TAA administration. Taurine treatment, either concomitant or later as a therapy, restored kidney functions, reduced blood urea nitrogen (BUN), creatinine, and malondialdehyde (MDA), increased renal levels of superoxide dismutase (SOD), and reversed the increase of kidney injury molecule-1 (KIM-1) and neutrophil gelatinase–associated lipocalin (NGAL) caused by TAA. Taurine treatment also led to a significant rise in nuclear factor erythroid 2–related factor 2 (Nrf2), hemoxygenase-1 (HO-1), and NADPH quinone oxidoreductase-1 (NQO-1) levels, with significant suppression of extracellular signal-regulated kinase (ERK) 1/2, nuclear factor kappa B (NF-κB), and tumor necrosis factor α (TNF-α) gene expressions, and interleukin-18 (IL-18) and TNF-α protein levels compared with those in TAA kidney-injured rats. Taurine exhibited reno-protective potential in TAA-induced kidney injury through its antioxidant and anti-inflammatory effects. Taurine antioxidant activity is accredited for its effect on Nrf-2 induction and subsequent activation of HO-1 and NQO-1. In addition, taurine exerts its anti-inflammatory effect via regulating NF-κB transcription and subsequent production of pro-inflammatory mediators via mitogen-activated protein kinase (MAPK) signaling regulation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".