Lipophilicity, plasma protein binding and intrinsic clearance of fentanyl analogues
Notice bibliographique
Résumé
Introduction: Fentanyl analogues have infiltrated the illicit drug market within the USA, causing grave concerns for public health and law enforcement agencies. These synthetic opioids, derived from fentanyl, have gained popularity among drug traffickers due to their high potency and potential for profit. The introduction of fentanyl and fentanyl analogues to the USA and Canadian illicit opiate supply is thought to play a significant role in the increase in synthetic opioid related deaths, which rose 18% in 2021. Despite widespread concerns surrounding their use, limited pharmacological data for these new analogues is available. Objectives: This research aims to identify and investigate the lipophilicity, plasma protein binding (PPB), and intrinsic clearance of fentanyl and 14 fentanyl analogues (4-fluorobutyrfentanyl, 4-fluoroisobutyrfentanyl, acetylfentanyl, acrylfentanyl, butyrfentanyl, carfentanil, crotonylfentanyl, cyclopropylfentanyl, furanylfentanyl, methoxyacetylfentanyl, ocfentanil, ortho-fluorofentanyl, para-fluorofentanyl and valerylfentanyl). Methods: LogD (pH 7.4) was determined using a HPLC-PDA-based chromatographic hydrophobicity index (CHI) method. A calibration mix of ten reference compounds was analysed at the start and end of each test run, with test compounds injected in triplicate. Average retention times of calibration compounds were used to calculate retention factors (k), which were then plotted against literature CHI values (CHI0 ). Experimental CHI and CHI logD values were subsequently calculated. PPB was determined by equilibrium dialysis. Pooled human plasma was centrifuged (3750 rpm, 10 min, 22 °C) and spiked with test compounds or positive control (nicardipine) (3 µg mL-1). Equilibrated, spiked plasma was dialysed against isotonic phosphate buffer (pH 7.4) (5 h, 37 °C, 100 rpm). ACN containing donepezil internal standard (10 ng mL-1) was added to each sample which were then centrifuged (3750 rpm, 10 min, 22 °C). The supernatant was diluted in dH2 O prior to UPLC-MS/MS analysis. The percentage of drug bound, and fraction unbound were calculated. For intrinsic clearance incubations, test compounds and a positive control (verapamil) were incubated at 0.5 µM in HLM (0.5 mg microsomal protein mL -1 in 50 mM phosphate buffer, pH 7.4). NADPH in phosphate buffer (final concentration 0.8 mg mL-1) was used to initiate the reaction (500 µL total incubation volume). Plates were incubated (37 °C, 100 rpm) and samples were collected from 0 to 60 min and quenched in ACN containing donepezil (10 ng mL-1). Samples were diluted with dH2 O and centrifuged (3750 rpm, 10 min, 22 °C) prior to UPLC-MS/MS analysis. Rate constants (k, min-1), half-lives (t1/2 , min), microsomal intrinsic clearance (CLint micr , mL min-1 mg-1) and intrinsic clearance (CLint , mL min-1 kg-1) rates were calculated. In vivo hepatic clearance (CLH , mL min-1 kg-1) was estimated according to the ‘well-stirred’ model. Results: LogD7.4 results ranged from 3.42 (methoxyacetylfentanyl) to 6.11 (valerylfentanyl). PPB ranged from 96.8% (valerylfentanyl) to 31.6% (acetylfentanyl). In vitro t1/2 ranged from 7.5 (furanylfentanyl) to 53.0 mins (methoxyacetylfentanyl). This resulted in CLint rates ranging from 250 (furanylfentanyl) to 35.4 (methoxyacetlfentanyl) mL min-1 kg-1. CLH was estimated to range from 16.84 (acetylfentanyl) to 2.64 (cyclopropylfentanyl) mL min-1 kg-1. Conclusion/ Discussion: The effect of various structural changes between fentanyl analogues on the tested properties were established. For example, increasing alkyl chain length (i.e. acetylfentanyl > fentanyl > butyrfentanyl > valerylfentanyl) resulted in increased lipophilicity, increased PPB, and an overall slower rate of predicted hepatic clearance. Fluorination (fentanyl vs ortho-fluorofentanyl/ para-fluorofentanyl; methoxyacetylfentanyl vs ocfentanil; butyrfentanyl vs 4-fluorobutyrfentanyl) resulted in faster CLint but otherwise had little effect. Differences in drug properties, often unknown to users, will result in unpredictable clinical effects increasing overdose risk and complicating treatment. The extended duration of whole-body clearance, in comparison to fentanyl, could potentially affect the effectiveness of overdose treatments e.g. naloxone. Its short half-life, coupled with these longer clearing opioids, may increase the risk of relapse.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| 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) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».