Toxicogenetic Studies of Desplatsia dewevrei using Gene Expression of Blood, Pancreatic, and Intestinal Genes in Wistar rats
Bibliographic record
Abstract
Background: Toxicity studies are relevant in assessing the side effects of chemical substances before they are incorporated into the process of drug development.Introduction: Desplatsia dewevrei is a scarce forest species believed by natives to be nutritive and therapeutic, without scientific evidence though. Thus, this study was aimed at investigating the possible toxicity of short- and long-term oral administration of D. dewevrei using Wistar rats.Methods: 0, 30 100, and 1000 mg/kg of D. dewevrei were daily administered p.o for 3 and 28 days to Wistar rats consisting of four animals (two females, two males) per group. Hemotoxicity and liver function tests were done using automated machines from ERMA Inc. RT-PCR method was used to study the regulation of intestinal glucose transporter 4 (GLUT4), glucose transporter 2 (GLUT2), glucagon-like peptide-1 (GLP-1), pancreatic insulin, KCJN5, and L-type voltage-gated calcium channel genes (CACNAIA).Results: No morphological or hematological signs of toxicity were observed. Liver function test showed an elevated level of high-density lipoprotein (HDL-C) in the treatment group (100 mg/kg). The lethal dose (LD<sub>50</sub>) of D. dewevrei extracts were above 1000 mg/kg as no mortality was observed at the highest regimen dose used. Up-regulation of pancreatic insulin and down-regulation of intestinal GLUT-2 suggest that the plant may contain therapeutic constituents.Conclusion: Short- or long-term administration of D. dewevrei is relatively safe.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".