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1.
Mol Psychiatry ; 25(9): 2070-2085, 2020 09.
Article in English | MEDLINE | ID: mdl-30626912

ABSTRACT

Although long-studied in the central nervous system, there is increasing evidence that dopamine (DA) has important roles in the periphery including in metabolic regulation. Insulin-secreting pancreatic ß-cells express the machinery for DA synthesis and catabolism, as well as all five DA receptors. In these cells, DA functions as a negative regulator of glucose-stimulated insulin secretion (GSIS), which is mediated by DA D2-like receptors including D2 (D2R) and D3 (D3R) receptors. However, the fundamental mechanisms of DA synthesis, storage, release, and signaling in pancreatic ß-cells and their functional relevance in vivo remain poorly understood. Here, we assessed the roles of the DA precursor L-DOPA in ß-cell DA synthesis and release in conjunction with the signaling mechanisms underlying DA's inhibition of GSIS. Our results show that the uptake of L-DOPA is essential for establishing intracellular DA stores in ß-cells. Glucose stimulation significantly enhances L-DOPA uptake, leading to increased DA release and GSIS reduction in an autocrine/paracrine manner. Furthermore, D2R and D3R act in combination to mediate dopaminergic inhibition of GSIS. Transgenic knockout mice in which ß-cell D2R or D3R expression is eliminated exhibit diminished DA secretion during glucose stimulation, suggesting a new mechanism where D2-like receptors modify DA release to modulate GSIS. Lastly, ß-cell-selective D2R knockout mice exhibit marked postprandial hyperinsulinemia in vivo. These results reveal that peripheral D2R and D3R receptors play important roles in metabolism through their inhibitory effects on GSIS. This opens the possibility that blockade of peripheral D2-like receptors by drugs including antipsychotic medications may significantly contribute to the metabolic disturbances observed clinically.


Subject(s)
Dopamine , Insulin-Secreting Cells , Animals , Dopamine/metabolism , Insulin Secretion , Insulin-Secreting Cells/metabolism , Mice , Receptors, Dopamine D2/genetics , Receptors, Dopamine D2/metabolism , Receptors, Dopamine D3/genetics , Receptors, Dopamine D3/metabolism
2.
Hum Psychopharmacol ; 31(3): 252-5, 2016 05.
Article in English | MEDLINE | ID: mdl-27060853

ABSTRACT

OBJECTIVE: We recently reported an unexpected interaction between olanzapine and sertraline in a population being treated for psychotic depression. Contrary to knowledge of cytochrome p450 interactions sertraline increased apparent clearance of olanzapine by 30%. Here we examined the pharmacokinetics of sertraline in the same population. Existing studies suggest that sertraline apparent clearance is significantly increased in male subjects and suggested an age/sex interaction. METHODS: We studied subjects undergoing combination of sertraline/olanzapine treatment for psychotic depression in the Study of the Pharmacotherapy of Psychotic Depression. Nonlinear mixed effect modelling software was used to examine the sertraline pharmacokinetics, evaluating age, sex, race, and olanzapine exposure as covariates. RESULTS: Eighty-seven subjects (median age 62 years, 28 male subjects, 11 African-Americans) provided 138 samples for sertraline concentration. Olanzapine exposure had a 14.8-fold range. A one compartment model with combined residual error described the sertraline concentration data adequately. Half-life and sex effect on sertraline apparent clearance (males averaging 50% higher (p < 0.005); 96.6 l/h vs 64.8 in female subjects) were similar to previous reports. No other covariate (age, race or olanzapine exposure) had a significant impact on apparent clearance, and no age/sex interaction emerged. CONCLUSION: Sertraline pharmacokinetics were similar to historical descriptions in populations not taking antipsychotics. Unlike our unexpected finding that sertraline increases olanzapine apparent clearance, olanzapine exposure had no impact on sertraline pharmacokinetics. Copyright © 2016 John Wiley & Sons, Ltd.


Subject(s)
Benzodiazepines/administration & dosage , Depressive Disorder, Major/drug therapy , Psychotic Disorders/drug therapy , Sertraline/pharmacokinetics , Adult , Age Factors , Antipsychotic Agents/administration & dosage , Antipsychotic Agents/therapeutic use , Benzodiazepines/therapeutic use , Drug Interactions , Drug Therapy, Combination , Female , Half-Life , Humans , Male , Middle Aged , Models, Biological , Nonlinear Dynamics , Olanzapine , Selective Serotonin Reuptake Inhibitors/administration & dosage , Selective Serotonin Reuptake Inhibitors/pharmacokinetics , Selective Serotonin Reuptake Inhibitors/therapeutic use , Sertraline/administration & dosage , Sertraline/therapeutic use , Sex Factors
3.
Clin Pharmacokinet ; 54(11): 1161-8, 2015 Nov.
Article in English | MEDLINE | ID: mdl-25971243

ABSTRACT

BACKGROUND AND OBJECTIVE: Clinical evidence and expert opinion support using a combination of an antipsychotic and an antidepressant when treating major depression with psychotic features. We characterized the impact of sertraline co-administration on olanzapine clearance in psychotic depression using population pharmacokinetic methods. METHODS: The Study of Pharmacotherapy for Psychotic Depression (STOP-PD) randomized 259 participants to olanzapine plus placebo or olanzapine plus sertraline. Olanzapine was started at 2.5-5 mg/day and sertraline at 25-50 mg/day. Doses were increased to a maximum of 20 mg/day for olanzapine and 200 mg/day for sertraline. Up to four olanzapine concentration samples were collected during the 12-week trial and 12-week continuation phase. We used NONMEM (Version VII) for population pharmacokinetic analysis, assessing effects of the covariates sex, African American origin, smoking, age, and sertraline co-administration. RESULTS: Population pharmacokinetic analysis comprised 336 samples from 175 individuals. The structural model published by Bigos et al. was sufficient to describe the olanzapine data adequately: a one-compartment model with first-order absorption and elimination, using an additive residual error structure with the absorption rate constant fixed to 0.5. Sertraline co-administration significantly increased olanzapine apparent clearance (p < 0.005) by 25-35 % depending on the patient characteristics included. Male sex was associated with a significantly increased clearance. Age and race did not have a significant impact on clearance. CONCLUSIONS: Contrary to expectations from the knowledge of cytochrome P450 interactions, sertraline increased olanzapine apparent clearance. Plausible explanations include patients treated with sertraline having poorer adherence to olanzapine, or the impact of sertraline inhibition of transporters resulting in increased intracellular concentrations and thus access to metabolizing enzymes.


Subject(s)
Benzodiazepines/administration & dosage , Benzodiazepines/pharmacokinetics , Depressive Disorder, Major/drug therapy , Depressive Disorder, Major/metabolism , Psychotic Disorders/drug therapy , Psychotic Disorders/metabolism , Sertraline/administration & dosage , Adult , Aged , Drug Interactions , Drug Therapy, Combination , Female , Humans , Male , Middle Aged , Models, Biological , Olanzapine , Sertraline/pharmacokinetics , Sex Factors
5.
J Am Geriatr Soc ; 56(7): 1333-41, 2008 Jul.
Article in English | MEDLINE | ID: mdl-18510583

ABSTRACT

The objective of this study was to measure the anticholinergic activity (AA) of medications commonly used by older adults. A radioreceptor assay was used to investigate the AA of 107 medications. Six clinically relevant concentrations were assessed for each medication. Rodent forebrain and striatum homogenate was used with tritiated quinuclidinyl benzilate. Drug-free serum was added to medication and atropine standard-curve samples. For medications that showed detectable AA, average steady-state peak plasma and serum concentrations (C(max)) in older adults were used to estimate relationships between in vitro dose and AA. All results are reported in pmol/mL of atropine equivalents. At typical doses administered to older adults, amitriptyline, atropine, clozapine, dicyclomine, doxepin, L-hyoscyamine, thioridazine, and tolterodine demonstrated AA exceeding 15 pmol/mL. Chlorpromazine, diphenhydramine, nortriptyline, olanzapine, oxybutynin, and paroxetine had AA values of 5 to 15 pmol/mL. Citalopram, escitalopram, fluoxetine, lithium, mirtazapine, quetiapine, ranitidine, and temazepam had values less than 5 pmol/mL. Amoxicillin, celecoxib, cephalexin, diazepam, digoxin, diphenoxylate, donepezil, duloxetine, fentanyl, furosemide, hydrocodone, lansoprazole, levofloxacin, metformin, phenytoin, propoxyphene, and topiramate demonstrated AA only at the highest concentrations tested (patients with above-average C(max) values, who receive higher doses, or are frail may show AA). The remainder of the medications investigated did not demonstrate any AA at the concentrations examined. Psychotropic medications were particularly likely to demonstrate AA. Each of the drug classifications investigated (e.g., antipsychotic, cardiovascular) had at least one medication that demonstrated AA at therapeutic doses. Clinicians can use this information when choosing between equally efficacious medications, as well as in assessing overall anticholinergic burden.


Subject(s)
Cholinesterase Inhibitors/adverse effects , Cognition Disorders/chemically induced , Geriatrics , Aged , Cholinesterase Inhibitors/classification , Cholinesterase Inhibitors/pharmacokinetics , Female , Humans , Male , Models, Biological , Tissue Distribution
6.
J Clin Psychopharmacol ; 22(5): 481-6, 2002 Oct.
Article in English | MEDLINE | ID: mdl-12352271

ABSTRACT

This study was performed in elderly patients (1) to assess the degree to which CYP2D6 mediated metabolism of debrisoquine at baseline determines plasma concentration to dose quotients for nortriptyline or paroxetine after 4 weeks of treatment, and (2) to compare the effects of nortriptyline and paroxetine on debrisoquine metabolism after 6 weeks of treatment. CYP2D6 activity was estimated in 66 subjects (71.4 +/- 7.2 years) before initiating treatment and again after 6 weeks of treatment with either nortriptyline or paroxetine under randomized, double-blind conditions according to a standard protocol. CYP2D6 activity was estimated by the debrisoquine recovery ratio in a 6- to 8-hour urine sample collected after oral administration of 10 mg debrisoquine sulfate. Nortriptyline and paroxetine plasma concentrations were obtained weekly. Baseline debrisoquine recovery ratio values were significantly correlated with the plasma concentration to dose quotient at 4 weeks for both nortriptyline ( = -0.75, = 0.0001, N = 29) and paroxetine ( = -0.50, = 0.003, N = 33). Treatment with either nortriptyline or paroxetine was associated with a significant decrease in the median debrisoquine recovery ratio, reflecting inhibition of CYP2D6 metabolism. The percent decrease associated with nortriptyline was significantly smaller than that with paroxetine ( < 0.0001). None of the patients treated with nortriptyline but 19 of the 32 extensive metabolizers treated with paroxetine were converted to phenotypic poor metabolic status. Our observations of CYP2D6 inhibition are consistent with data and results obtained in younger healthy volunteers. The significant correlations between baseline debrisoquine recovery ratio and the plasma concentrations to dose quotients at 4 weeks for both nortriptyline and paroxetine are consistent with CYP2D6 playing a major role in the metabolism of both drugs. CYP2D6 inhibition by paroxetine, which effectively converted 59% of patients to phenotypic PMs, may be especially relevant for elderly patients given their generally higher concentration of paroxetine.


Subject(s)
Antidepressive Agents, Second-Generation/pharmacology , Antidepressive Agents, Second-Generation/therapeutic use , Antidepressive Agents, Tricyclic/pharmacology , Antidepressive Agents, Tricyclic/therapeutic use , Cytochrome P-450 CYP2D6/drug effects , Depressive Disorder/drug therapy , Nortriptyline/pharmacology , Nortriptyline/therapeutic use , Paroxetine/pharmacology , Paroxetine/therapeutic use , Adrenergic Agents/metabolism , Aged , Antidepressive Agents, Second-Generation/metabolism , Antidepressive Agents, Tricyclic/metabolism , Cytochrome P-450 CYP2D6/metabolism , Debrisoquin/metabolism , Depressive Disorder/metabolism , Double-Blind Method , Female , Follow-Up Studies , Humans , Male , Nortriptyline/metabolism , Paroxetine/metabolism , Time Factors
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