Comments on “Effects of Obesity and Leptin Deficiency on Morphine Pharmacokinetics in a Mouse Model” by Dalesio et al, Anesth Analg. 2016;123:1611–1617
Notice bibliographique
Résumé
To the Editor We read with great interest the article by Dalesio et al1 describing effects of obesity and leptin deficiency on morphine pharmacokinetics. We have some concerns we would like to share. The smallest volume of distribution possible for a drug is plasma volume (in mice2 approximately 67 μL/g) but here Vd/F of 2.9 to 4.8 pL/g were reported. By digitizing Figure 1, we found the test groups to give area under curve for 150 minutes of blood sampling time (AUC150) values that matched the data in Table 2 (<2% difference). However, the AUC150 for reference-control wild type (WT) given in Table 2 were >60% higher than the Figure 1 data. Apparently, the Figure 1 data are showing unadjusted concentrations for the WT group, making differences from WT appear bigger than they were (dose-adjusted concentrations would have been preferred). We note as well that the (x, y) zero intercepts in Figure 1 show that morphine was present in several groups of mice at time zero, which seems odd considering single doses were given. Our analysis of Figure 1 provided t½ very similar to those reported for the test groups.1 In dividing the C150 by 0.693/t½ (β) and adding to it the AUC150, we obtained AUC0–∞ values. Then, using Dose/AUC0–∞, we arrived at reasonable intraperitoneal dosed-CL/F of 79.5, 69.4, and 38.8 μL/min/g, respectively, for the LR, DIO, and ob/ob groups.3 Using (CL/F)/β, we obtained realistic Vdβ/F values of 3.8, 3.4, and 2.9 mL/g, respectively.3 This was despite the unusual manner of blood sampling, ie, repeatedly anesthetizing the mice 7 to 8 times over 2.5 hours. We also note that AUC units in Table 2 do not match those in Table 1. It would have been nice to have seen the concentration versus time data and AUC for metabolite morphine 3-glucuronide as has been presented before for lean mice.3 Under “Protocol,”1 morphine was stated to be dosed using ideal body weight. A citation specific for morphine was lacking. The references were for fentanyl-like opioids. After subcutaneous injection, morphine Cmax increases linearly from 20 to 150 mg/kg.4 Here, WT mice received doses intraperitoneal from 20 to 100 mg/kg but vagueness surrounds the description of data handling. Dalesio et al1alluded that there were no pharmacokinetic differences (data undisclosed) existing between doses of 20 and 80 mg/kg (after or before dose adjustment?) but that there were at 100 mg/kg. Thus, they combined the 20 to 80 mg/kg data for their critically important WT reference group. However, the nature of the dose versus AUC and Cmax response in the other mice is unknown, which makes compiling of WT pharmacokinetic data difficult to rationalize. Indeed, why exclude the 100 mg/kg WT as they were closer to the dose used in the treatment groups than 20 and 40 mg/kg WT? Considering the rise in Cmax after subcutaneous doses of 20 to 150 mg/kg,4 how much and why the 100 mg/kg dose differed from 80 mg/kg deserves explanation. Lastly, the abstract said the metabolite/drug ratios indicated differences in morphine metabolism in obesity. This is possible but not definitive because metabolite elimination also affects this ratio. Special studies are needed to confirm this conclusion.5 Dion R. Brocks, PhDNeal M. Davies, PhDFaculty of Pharmacy and Pharmaceutical SciencesUniversity of AlbertaEdmonton, Alberta, Canada[email protected]
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,007 | 0,038 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,022 | 0,025 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,007 |
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 ».