DRD3 Ser9Gly Polymorphism and Its Influence on Risperidone Response in Autistic Children
Bibliographic record
Abstract
PURPOSE: Autism, a neuropsychiatric illness, is a complex ailment of mainly indefinite cause. Although precise pathophysiological mechanism is unclear but the role of genetics is undeniable therefore pharmacogenetics may assist to a better management of symptoms. Risperidone is widely used in autism. Considering the significance of dopaminergic system in psychological and neurological diseases and its association with autism, the hypothesis that genetic variant of dopamine receptor (DRD3), Ser9Gly (rs6280), may influence treatment of autism may be assumed. METHOD: In the present study, 56 autistic Persian children within the age range of 2.5 to 14 years were included. Diagnosis of autism was based on DSM-V criteria and the severity degree was measured by ABC-C checklists at base line and after 8 weeks of treatment with risperidone. Based on their scores patients were categorized as responsive and non-responsive groups. DRD3 Ser9Gly (rs6280) was determined by PCR-RFLP. RESULTS: Carriers of Gly allele as well as carriers of Gly/Gly and Ser/Gly genotypes showed significantly better response to risperidone compared with carriers of Ser allele and Ser/Ser genotype (P=0.027; OR= 4.18; 95%CI=1.16-15.03 and P=0.014; OR=6.825; 95%CI=1.36-34.13). CONCLUSION: Our results advocate the possible influence of genetic variation of DRD3 in clinical response to antipsychotics like risperidone in autistic individuals. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.
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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 | 0.001 |
| 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) | 0.002 | 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".