α-Terpineol Mitigates Dextran Sulfate Sodium-Induced Colitis in Rats by Attenuating Inflammation and Apoptosis
Bibliographic record
Abstract
Ulcerative colitis (UC) is one of the major inflammatory disorders of the gastrointestinal tract. α-Terpineol (αTL) is naturally present in several plants, and it belongs to the monoterpenes category. αTL possesses various pharmacological properties such as antioxidant, antibacterial, antifungal, anticancer, and antiulcer activities. Importantly, αTL has been reported to possess potent anti-inflammatory effects also. In this study, we hypothesize that αTL may have protective effects against dextran sodium sulfate (DSS)-induced colitis in Wistar rats. Animals were randomly allocated to 3 groups of 6 rats each. In group III, αTL was administered at a dose of 50 mg/kg b. wt. orally from days 1 to 14, while in groups II and III, 4% DSS in drinking water was given to rats ad libitum from the 7th to 14th days. After 24 h of the last dose of αTL, all animals were euthanized. αTL administration reduced the DSS-induced colonic disease activity index, tissue damage, and goblet cell disintegration. αTL suppressed the orchestration of mast cells in the inflamed colon, enhanced the immunostaining of NF-kB-p65, COX-2, iNOS, p53, caspase-9, and cleaved caspase-3, and suppressed the immunostaining of connexin-43, survivin, and Bcl-2. The activities of caspases-9 and -3 were reduced significantly by αTL pretreatment, as also confirmed by calorimetric assays. Moreover, αTL significantly attenuated the nitric oxide level and myeloperoxidase activity. Histological results further support the fact that αTL reduced DSS-induced colonic damage and reduced inflammatory cell infiltration. Overall, our findings suggest that αTL has strong protective effects against DSS-induced colitis by mitigating inflammatory and apoptotic responses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".