The AmpliChip <sup>®</sup> CYP450 Test and Response to Treatment in Schizophrenia and Obsessive Compulsive Disorder: A Pilot Study and Focus on Cases with Abnormal CYP2D6 Drug Metabolism
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Bibliographic record
Abstract
AIM: Genetic factors can result in variance in drug metabolism enzyme function, which is one major mechanism impacting on interindividual variability in response and side effects. We therefore performed a pilot study to investigate genetic variants in the drug metabolizing enzymes CYP2D6 and CYP2C19. METHODS: We evaluated 35 schizophrenic and 39 obsessive compulsive disorder (OCD) patients treated with various antipsychotics and antidepressants. Patients were assessed for treatment response and side effects. Genotyping for CYP2D6 and CYP2C19 was performed using the AmpliChip(®). Statistical analysis was performed using analysis of variance and Fisher's exact test. Cases of poor metabolizers (PMs) or ultrarapid metabolizers (UMs) were examined in further detail to assess medication outcomes. RESULTS: Statistical analysis identified no overall significant association of CYP2D6 metabolizer status with treatment response or occurrence of side effects. Nonetheless, case reports of PM and UM individuals indicated lack of response and/or occurrence of side effects in most of these patients. A secondary analysis comparing OCD subjects with impaired 2D6 function to extensive metabolizers was significant (p=0.021). CONCLUSION: Although not conclusive, there was some association between CYP2D6 impaired metabolic status and medication response. Our case reports suggest a potential clinical benefit of CYP genotyping for specific patients. Further validation of CYP2D6 and CYP2C19 testing in prospective, randomized trials is warranted.
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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 | 0.001 | 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