Simultaneous Melatonin Administration Effectively Deprograms the Negative Influence of Neonatal Hypothyroidism on Immature Follicles but not on Mature Follicles and Body and Ovarian Weights
Bibliographic record
Abstract
Background : The impact of simultaneous melatonin administration on neonatal progmming by hypothyroidism (HPOT + MT) on adult ovarian functions and serum hormone profiles has been evaluated in the Charles foster strain of rats. Methods : The female neonates were rendered hypothyroid (HPOT) by feeding lactating mothers with 6-propyl 2-thiouracil (PTU) through drinking water and were simultaneously administered with melatonin (MT) (40 µg / animal / day) from day 0 to day 21 in the evening at 16 : 30 hours just prior to lights off. Results : The experimental animals (HPOT + MT) consistently showed decreased body and ovary weights compared to controls. The total number of follicles was significantly lower in treated animals (HPOT + MT) but was greater than the HPOT group of animals, and both showed significantly decreased number of follicles compared to control rats. There was a significant reduction in the number of antral follicles and corpora lutea and decreased atretic follicles in experimental rats. Conclusions : It can be concluded from the above results that melatonin is able to nullify the negative influence of hypothyroidism on adult ovarian functions and steroidogenesis to a greater extent. J Endocrinol Metab. 2011;1(5):220-226 doi: https://doi.org/10.4021/jem54w
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".