Impact of the Omics-Based Biomarkers on the Fluvoxamine’s Steady-State Concentration, Efficacy and Safety in Patients with Affective Disorders Comorbid with Alcohol Use Disorder
Notice bibliographique
Résumé
Introduction: Fluvoxamine is commonly administered to patients with recurrent depressive disorder. Some of these patients do not show adequate response to the therapy with fluvoxamine, whereas many of them experience dose-dependent adverse drug reactions. Previous research revealed that CYP2D6 is involved in the metabolism of fluvoxamine, the activity of which is highly dependent on the polymorphism of the gene encoding it. Objective: The objective of this study was to investigate the effect of polymorphisms of the CYP3A4, CYP2C9, CYP3A5, ABCB1, CYP2C19, SCL6A4, and 5-HTR2A genes on the concentration/dose indicator of fluvoxamine and on the CYP3A expression level obtained by measuring the miR-27b plasma concentration levels in patients suffering from a recurrent depressive disorder. Material and Methods: Our study included 105 patients with recurrent depressive disorder (average age &#8211; 37.5 ± 13.2 years). The treatment regimen included fluvoxamine in an average daily dose of 117.6 ± 44.3 mg per week. Therapy efficacy was assessed using the international psychometric scales. Therapy safety was assessed using the UKU Side-Effect Rating Scale. For genotyping and estimation of the microRNA (miRNA) plasma levels, we performed the real-time polymerase chain reaction. The activity of CYP3A was evaluated using the HPLC-MS/MS method by the content of the endogenous substrate of the given isoenzyme and its metabolite in urine (6b-HC/cortisol). Therapeutic drug monitoring has been performed using HPLC-MS/MS. Results: Our study didn’t reveal any statistically significant results in terms of the treatment efficacy and safety of the therapy. We also didn’t reveal a statistical significance for the concentration/dose indicator of fluvoxamine in patients with different genotypes. Analysis of the results of the pharmacotranscriptomic part of the study didn’t demonstrate the statistically significant difference in the miR-27b plasma levels in patients with different genotypes. At the same time, correlation analysis didn’t reveal a statistically significant relationship between the fluvoxamine efficacy profile evaluated by changes in HAMD scale scores and the miR-27b plasma concentration: r s = –0.012, p = 0.63. Also, we didn’t reveal the correlation between the miRNA concentration and safety profile: rs = –0.175, p = 0.30. In addition, we didn’t reveal the relationship between the CYP3A enzymatic activity and the miR-27b plasma concentration: r s = –0.197, p < 0.32. However, the difference in the CYP3A enzymatic activity in carriers of AG and GG genotypes of the 6986A > G polymorphism of CYP3A5 gene has been revealed: (AG) 4.72 [1.18; 8.45] vs (GG) 9.23 [5.12; 15.53], p-value = 0.23. Conclusion: Thus, the effect of genetic polymorphism of the CYP3A4, CYP2C9, CYP2C9, CYP3A5, ABCB1, CYP2C19, CYP2C19, CYP2C19, SCL6A4, 5-HTR2A gene on the efficacy and safety profiles of fluvoxamine was not demonstrated in a group of 105 patients with depressive disorder and alcohol use disorder.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».