Synergistic Effects of Nano-Sized Clinoptilolite and Nigella Sativa on Inflammatory and Hematological Factors in Rats with Type 2 Diabetes
Bibliographic record
Abstract
The inflammatory efficacy of supplementation of natural nano-sized clinoptilolite (NCLN) and Nigella sativa (NS) was evaluated At the end of 7th week in interleukin1β (IL1β), interleukin10 (IL-10), interleukin6 (IL-6) and platelet (PLT), white blood cell (WBC), red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV). 42 rats were divided into two groups as diabetic and non-diabetic. Diabetic group divided into 4 subgroups as normal control (NC), NS 1% food, NCLN 2%/food, NS 1%/food + NCLN 2%/food and fed high fat diet (HFD) for 1 month, then injected 35mg/kg BW STZ to induce type 2 diabetes (T2D). Our results showed IL-10 in NCLN and NCLN+NS groups were significantly higher NC group (p<0.05). IL-6 decreased in NS group in comparison with DC group. And PLT decreased significantly in NCLN group in comparison with other groups. Our data suggests NS and NCLN may have synergistic beneficial effects on increasing some of anti-inflammatory factors.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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".