Dopamine receptor D3R and D4R mRNA levels in peripheral lymphocytes in patients with schizophrenia correlate with severity of illness
Bibliographic record
Abstract
Schizophrenia is a disease that affects many areas of the brain. The dopamine hypothesis is one of the most widely-accepted ideas in the pathophysiology of schizophrenia. Besides alterations in the dopaminergic system in the central nervous system, there have been several reports of changes in dopaminergic systems in the peripheral blood of schizophrenic patients. Several reports have shown that dopamine receptor expression by lymphocytes is altered in patients with schizophrenia, but the results have been conflicting. We therefore re-assessed D3R and D4R mRNA levels in 11 patients with schizophrenia and 12 healthy subjects and correlated levels with severity of symptoms. D3R and D4R expression in lymphocytes and granulocytes was measured by quantitative RT-PCR and the severity of symptoms and cognitive impairment were assessed using the PANSS and BACS-J. There were no significant differences in mean D3R or D4R mRNA levels in lymphocytes from schizophrenic patients and controls and no significant difference in mean D4R mRNA levels in granulocytes (D3R mRNA undetectable). In patients with schizophrenia, D3R expression was inversely correlated with the total PANSS score (r = 0.768, p = 0.009), while D4R expression was positively correlated with working memory scales (r = 0.895, p = 0.001). In conclusion, these results imply that lymphocyte D3R and D4R are involved in the mechanisms of the disorder and could be used as target markers in the treatment of schizophrenia.
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 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 | 0.001 |
| 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".