Cellular Mechanisms of Saline Extract of Alligator Pepper (Zingiberaceae Aframomum melegueta) for Specific Protection against Fetal Macrosomia
Bibliographic record
Abstract
Introduction: Aqueous extract of Alligator pepper is known to reduce gestational weight gain and litter size in Sprague Dawley rats. This study was done to determine the underlying hormonal and cellular mechanisms of action. Methods: We performed a controlled cross sectional intervention study with 45 female Sprague Dawley rats, which after acclimatization for two weeks, were allowed to mate with male rats for three days. Thereafter, these female rats were randomly allocated into three groups A, B and C with 15 female rats in each group. These three major groups were further randomly allocated into three subgroups so that each subgroup had 5 female rats. Pregnant female rats in Group A were injected with 2ml of normal saline intraperitoneally on day 4. Pregnant female rats in groups B and C were injected intraperitoneally with 6.7mg/Kg body weight and 13.3mg/ kg body weight of saline extract of Alligator Pepper respectively on day 4. Glucose levels were estimated with glucometer on days 7, 14, and 21. Blood was collected by intra-ventricular puncture and assayed for insulin levels. Observed differences between control and experimental groups were subjected to tests of significance. Results: Alligator pepper treated pregnant rats had significantly higher serum glucose levels than control group. Low dose and high dose Alligator pepper depressed serum insulin levels in the experimental group on day 7 and days 7 and 14 respectively Conclusion: Intraperitoneal injection of saline extract of Alligator pepper prevents first and second trimester hyper-insulinemia in pregnant Sprague Dawley rats.
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 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) | 0.000 | 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) | 0.001 | 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".