Lack of Effect of Testosterone and Dihydrotestosterone Compared to 17β‐Oestradiol in 1‐Methyl‐4‐Phenyl‐1,2,3,6, Tetrahydropyridine‐Mice
Bibliographic record
Abstract
Previous work from our laboratory has demonstrated prevention of 1-methyl-4-phenyl-1,2,3,6, tetrahydropyridine (MPTP)-induced striatal dopamine depletion in C57Bl/6 mice by 17beta-oestradiol, progesterone and raloxifene. The activity of androgenic compounds in MPTP mice has received less attention and was the object of the present investigation. The effects of 17beta-oestradiol (2 microg/day), testosterone (100 microg/day) and dihydrotestosterone (DHT) (2 microg/day or 100 microg/day) were studied during 5 days before and after an acute treatment of four MPTP (10 mg/kg) injections in male C57Bl/6 mice. Striatal concentrations of dopamine and its metabolites dihydroxyphenylacetic acid and homovanillic acid were measured by high-performance liquid chromatography. MPTP mice treated with saline showed large decreases in dopamine and its metabolites compared to control mice. 17beta-oestradiol partially spared this decrease whereas testosterone and DHT did not. Striatal specific binding to the dopamine transporter (DAT) and to the vesicular monoamine transporter (VMAT2) were measured using [125I] RTI-121 and [3H] dihydrotetrabenazine autoradiography, respectively. As with striatal dopamine concentrations, MPTP treatment caused a decrease in DAT and VMAT2 specific binding. 17beta-oestradiol partially spared this decrease, whereas androgens did not. In the substantia nigra, DAT mRNA was measured by in situ hybridization. MPTP treatment induced a significant, but smaller decrease in substantia nigra DAT mRNA than striatal DAT protein. In addition, 17beta-oestradiol completely prevented the MPTP-induced decrease of DAT mRNA, whereas androgens did not. The present results show that androgens are unable to protect against MPTP-induced dopaminergic toxicity.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".