Antipsychotic‐induced DRD2 upregulation and its prevention by α‐lipoic acid in SH‐SY5Y Neuroblastoma cells
Why this work is in the frame
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Bibliographic record
Abstract
Most antipsychotic (AP) drugs are dopamine (DA) D2 receptor (DRD2) antagonists and remain the main pharmacological treatment of schizophrenia. Long-term AP use can give rise to tardive dyskinesia. It has been reported that chronic treatment with APs induces DRD2 upregulation and oxidative stress, which have been associated with tardive dyskinesia. We showed previously that H₂O₂-induced oxidative stress increased DRD2 expression in human SH-SY5Y neuroblastoma cells. We report here the effects of AP drugs on DRD2 expression levels in the same cell line and the effects of the inhibition of oxidative phenomena by (±)-α-lipoic acid treatment. Haloperidol, a first-generation AP, induced an increase in DRD2 protein and mRNA levels, whereas amisulpride, a second-generation AP, had no significant effect. (±)-α-Lipoic acid pretreatment reversed the haloperidol-induced DRD2 upregulation in mRNA and protein levels. Furthermore, haloperidol induced a larger increase of oxidative stress biomarkers (protein carbonylation, lipid peroxidation, and superoxide anion production) than amisulpride. (±)-α-Lipoic acid also attenuated AP-induced oxidative stress. Inhibition of catecholamine synthesis by α-methyl-DL-tyrosine (AMPT) increased DRD2 expression and prevented further increase by APs. Our results suggest that haloperidol-induced DRD2 upregulation is linked to oxidative stress and provide potential mechanisms by which (±)-α-lipoic acid can be considered as a therapeutic agent to prevent and treat side effects related to the use of first-generation APs.
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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 | 0.000 |
| 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) | 0.000 | 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 it