5α-Androstane-3α,17β-Diol Inhibits Neurotoxicity in SH-SY5Y Human Neuroblastoma Cells and Mouse Primary Cortical Neurons
Bibliographic record
Abstract
Low free T levels in men are associated with age-related cognitive decline and increased risk for neurotoxicity, resulting in disease. The mechanisms underlying these observations remain poorly defined. Although rapid, androgen receptor-dependent activation of ERK has been postulated as a neurotrophic and neuroprotective mechanism, actions of T metabolites such as 5α-androstane-3α,17β-diol (3α-diol) may also be involved. We investigated the influence of 3α-diol on the induction of ERK phosphorylation in SH-SY5Y human female neuroblastoma cells and primary cortical neurons from male and female mice. In SH-SY5Y cells, ERK phosphorylation was induced by 10 nM DHT, epidermal growth factor, hydrogen peroxide (H2O2), and acetylcholine. The addition of 10 nM 3α-diol, which did not itself activate ERK, significantly inhibited ERK phosphorylation induced by DHT, epidermal growth factor, or H2O2, but not acetylcholine. In both SH-SY5Y cells and primary cortical neurons, prolonged ERK phosphorylation and caspase-3 cleavage resulting from amyloid β-peptide 1–42 (Aβ42) exposure were inhibited by cotreatment with 3α-diol. 3α-diol also reduced the loss in cellular viability induced by Aβ42 or H2O2 in SH-SY5Y cells. These data suggest that T-mediated neuroprotection may occur via two distinct but complementary mechanisms: an initial rapid activation of ERK phosphorylation, followed by modulation via 3α-diol of the potentially adverse consequences of prolonged ERK activation.
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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) | 0.001 | 0.001 |
| 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".