The effect of age and concomitant treatment with other psychoactive drugs on serum concentrations of citalopram measured with a nonenantioselective method

A preclinical secondary pharmacology resource illuminates target-adverse drug reaction associations of marketed drugs

In vitro secondary pharmacology assays are an important tool for predicting clinical adverse drug reactions (ADRs) of investigational drugs. We created the Secondary Pharmacology Database (SPD) by testing 1958 drugs using 200 assays to validate target-ADR associations. Compared to public and subscription resources, 95% of all and 36% of active (AC50 < 1 µM) results are unique to SPD, with bias towards higher activity in public resources. Annotating drugs with free maximal plasma concentrations, we find 684 physiologically relevant unpublished off-target activities. Furthermore, 64% of putative ADRs linked to target activity in key literature reviews are not statistically significant in SPD. Systematic analysis of all target-ADR pairs identifies several putative associations supported by publications. Finally, candidate mechanisms for known ADRs are proposed based on SPD off-target activities. Here we present a freely-available resource for benchmarking ADR predictions, explaining phenotypic activity and investigating clinical properties of marketed drugs.

Association between Plasma Metabolic Profiles of the Antidepressant Escitalopram and Clinical Response in Subjects with Depression

Liquid chromatography/electrospray ionization-mass spectrometry revealed plasma metabolic profiles for the antidepressant drug escitalopram (ECTP) and associated clinical responses in subjects with major depressive disorder (MDD). Metabolic profiles contribute to variations in responses to drug treatment of depression. To assess clinical responses and treatment outcomes, we quantified the levels of metabolites, including those of the parent drug, in plasma samples collected at different time points (days 0, 7, 14, and 42) during treatment of seven patients with MDD. Results showed that mean plasma levels of key metabolites and ECTP at day 7 were significantly associated with the clinical response at 42 days after treatment. Statistical analyses, including principal component analysis, of key metabolites and ECTP samples at different time points clearly distinguished the clinical responders from non-responder subjects. Although further validation with a larger cohort is necessary, our results indicate that early improvement and plasma levels of key metabolites and ECTP are predictive of therapeutic treatment outcomes and thus can be used to guide the use of ECTP.

Citalopram and escitalopram plasma drug and metabolite concentrations: genome-wide associations

AIMS

Citalopram (CT) and escitalopram (S-CT) are among the most widely prescribed selective serotonin reuptake inhibitors used to treat major depressive disorder (MDD). We applied a genome-wide association study to identify genetic factors that contribute to variation in plasma concentrations of CT or S-CT and their metabolites in MDD patients treated with CT or S-CT.

METHODS

Our genome-wide association study was performed using samples from 435 MDD patients. Linear mixed models were used to account for within-subject correlations of longitudinal measures of plasma drug/metabolite concentrations (4 and 8 weeks after the initiation of drug therapy), and single-nucleotide polymorphisms (SNPs) were modelled as additive allelic effects.

RESULTS

Genome-wide significant associations were observed for S-CT concentration with SNPs in or near the CYP2C19 gene on chromosome 10 (rs1074145, P = 4.1 × 10(-9) ) and with S-didesmethylcitalopram concentration for SNPs near the CYP2D6 locus on chromosome 22 (rs1065852, P = 2.0 × 10(-16) ), supporting the important role of these cytochrome P450 (CYP) enzymes in biotransformation of citalopram. After adjustment for the effect of CYP2C19 functional alleles, the analyses also identified novel loci that will require future replication and functional validation.

CONCLUSIONS

In vitro and in vivo studies have suggested that the biotransformation of CT to monodesmethylcitalopram and didesmethylcitalopram is mediated by CYP isozymes. The results of our genome-wide association study performed in MDD patients treated with CT or S-CT have confirmed those observations but also identified novel genomic loci that might play a role in variation in plasma levels of CT or its metabolites during the treatment of MDD patients with these selective serotonin reuptake inhibitors.

Estimation of CYP2D6*10 genotypes on citalopram disposition in Chinese subjects by population pharmacokinetic assay

WHAT IS KNOWN AND OBJECTIVE

There is great interindividual variability in citalopram (CIT) pharmacokinetics. We attempted to establish a population pharmacokinetic (PPK) model of CIT in Chinese healthy subjects, to evaluate the effect of genetic polymorphism on CIT pharmacokinetics and to compare the PPK and non-compartmental (NCA) assays in the estimation of CIT bioequivalence.

METHODS

Blood samples of 23 healthy subjects were collected after administration of CIT; plasma concentration of CIT was analysed using LC/MS-MS. CYP2C19 and CYP2D6*10 genotypes were determined. PPK model was established by using nonlinear mixed-effect modelling (NONMEM). The model was evaluated using goodness-of-fit plots and relative error measurements. Bioequivalence of CIT was evaluated by both PPK and NCA method.

RESULTS AND DISCUSSION

The estimated population absorption rate constant (ka ), clearance (CL/F) and volume of distribution (Vd/F) in Chinese healthy subjects are 0.64 L/h, 12.7 L/h and 705 L, respectively. Different CYP2C19 and CYP2D6 genotypes have impacts on CIT pharmacokinetics. There is about 5.5% decrement of CL/F for each CYP2C19*2 or CYP2D6*10 allele. The 90% confidence interval of CIT bioavailability obtained from NCA and PPK model were 96.4-105.4% and 92.5-103.4%, respectively.

WHAT IS NEW AND CONCLUSION

The PPK of CIT is best characterized by a one-compartment disposition model with first-order absorption. CYP2C19 and CYP2D6 genotypes have impacts on the CL/F of CIT. Bioequivalence of CIT can be estimated by both NCA and PPK model.

Effects of gender and age on serum concentrations of antidepressants under naturalistic conditions

Therapeutic drug monitoring (TDM) data of antidepressant drugs are often evaluated using homogeneous samples of selected individuals without psychiatric or somatic comorbidity. These data may have limitations in transferability to everyday clinical practice. Hence, studies under naturalistic conditions are important to clarify the full clinical relevance of TDM of antidepressants. TDM analyses were retrospectively evaluated for a 3-year period from 2008 to 2010. The influence of gender and age on dose-corrected serum concentrations of antidepressants was examined in a standard clinical setting. 693 TDM analyses of amitriptyline and nortriptyline (AMI + NOR), 160 of citalopram (CIT), 152 of clomipramine and N-clomipramine (CLO + N-CLO), 272 of doxepine and N-doxepine (DOX + N-DOX), 359 of escitalopram (ESC), 198 of fluoxetine and N-fluoxetine (FLU + N-FLU), 92 of maprotiline (MAP), 888 of mirtazapine (MIR), and 77 of sertraline (SER) remained in the sample. Females had significantly higher dose-corrected serum concentrations of AMI + NOR (32 %), CIT (29 %), DOX + N-DOX (29 %), and MIR (20 %), and patients older than 60 years had significantly higher dose-corrected serum concentrations of AMI + NOR (21 %), CIT (40 %), DOX + N-DOX (48 %), MAP (46 %), MIR (24 %), and SER (67 %). Comparing the two extreme groups, females >60 years showed a remarkably higher dose-corrected serum concentration of AMI + NOR (52 %), CIT (78 %), DOX + N-DOX (86 %), and MIR (41 %) in contrast to males ≤60 years. Gender and age have a significant influence on the serum concentrations of different antidepressant drugs, and additive effects must be considered. TDM is recommended to reduce the risk of adverse effects due to supratherapeutic serum levels, also in a naturalistic clinical setting.

Gene expression biomarkers of response to citalopram treatment in major depressive disorder

There is significant variability in antidepressant treatment outcome, with ∼30-40% of patients with major depressive disorder (MDD) not presenting with adequate response even following several trials. To identify potential biomarkers of response, we investigated peripheral gene expression patterns of response to antidepressant treatment in MDD. We did this using Affymetrix HG-U133 Plus2 microarrays in blood samples, from untreated individuals with MDD (N=63) ascertained at a community outpatient clinic, pre and post 8-week treatment with citalopram, and used a regression model to assess the impact of gene expression differences on antidepressant response. We carried out technical validation of significant probesets by quantitative reverse transcriptase PCR and conducted central nervous system follow-up of the most significant result in post-mortem brain samples from 15 subjects who died during a current MDD episode and 11 sudden-death controls. A total of 32 probesets were differentially expressed according to response to citalopram treatment following false discovery rate correction. Interferon regulatory factor 7 (IRF7) was the most significant differentially expressed gene and its expression was upregulated by citalopram treatment in individuals who responded to treatment. We found these results to be concordant with our observation of decreased expression of IRF7 in the prefrontal cortex of MDDs with negative toxicological evidence for antidepressant treatment at the time of death. These findings point to IRF7 as a gene of interest in studies investigating genomic factors associated with antidepressant response.

Changes in antidepressant metabolism and dosing across pregnancy and early postpartum

OBJECTIVE

Little information about the disposition of individual antidepressant drugs during pregnancy has been published. We examined the dose requirements and level-to-dose (L/D) ratios of citalopram, escitalopram, and sertraline during pregnancy and after birth.

METHOD

Women aged from 32 to 43 years with major depressive disorder according to the Structured Clinical Interview for DSM-IV Axis I Disorders participated in the study. Doses were charted across each week of gestation and post-partum. Samples were collected at 20, 30, and 36 weeks' gestation; delivery; and at 2 and 12 weeks postpartum. Plasma trough levels were obtained 8 to 15 hours after dose intake. Across pregnancy and postpartum, the mean dose-corrected plasma concentrations (L/D ratios) of S- and R-citalopram and S-sertraline, and the corresponding primary chiral metabolites S- and R-desmethylcitalopram and N-desmethylsertra-line were assessed. The samples were analyzed for concentrations of stereospecific parent drug and metabolites. The study was conducted from 2003 to 2006.

RESULTS

Three women received citalopram, 2 women were treated with escitalopram, and 6 women received sertraline. In 4 of 5 subjects who received citalopram or escitalopram and 5 of 6 subjects who received sertraline, the L/D ratios for the stereoisomers of the parent compound and primary metabolite decreased between 20 weeks gestation and delivery, which reflects increased drug metabolism. By 12 weeks postpartum the L/D ratios were similar to those detected at 20 weeks gestation.

CONCLUSIONS

Our cases illustrate that dose requirements frequently increase during the second half of pregnancy to offset increased drug turnover and maintain optimal pharmacotherapy. These findings replicate and extend earlier published data with other antidepressants.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT00279370.

Therapeutic drug monitoring of escitalopram in an outpatient setting

The main objectives of this study were to outline the inter- and intraindividual and overall pharmacokinetic variability of S-citalopram, S-desmethylcitalopram, and S-didesmethylcitalopram in serum by means of therapeutic drug monitoring; and to investigate potential correlations between the serum concentration and simultaneously collected clinical data. The study was conducted on outpatients in Sweden in 2002 to 2005. Included in the pharmacokinetic evaluation were 155 patients (68% women and 32% men) aged 17 to 95 years (average, 51 years). One serum sample per patient, taken as a trough value in steady state, was assessed. For the inter- and intraindividual variation calculation, 16 patients were included with two eligible samples each. The median daily dose was 20 mg/day (range, 5-40 mg). Extensive overall serum concentration variability was seen for all dose levels. The interindividual coefficient of variation for dose-normalized concentrations was 71% for S-citalopram, 36% for S-desmethylcitalopram, and 50% for S-didesmethylcitalopram. The intraindividual variations over time for the same parameters were approximately 30%, except for the ratio S-desmethylcitalopram/S-citalopram, which was 23%. The median S-desmethylcitalopram level was approximately 60% of the parent substance and the S-didesmethylcitalopram level approximately 9%. Higher age was correlated with higher serum concentrations, but no gender-related concentration differences were found. A majority (76%) of the patients took one or more drugs in addition to escitalopram, but concomitant medication did not seem to interact with escitalopram. However, women taking oral contraceptives showed a lower metabolic ratio compared with age-matched women. As a result of the wide range of the ratio in this population, these findings are not considered of clinical relevance.

Explaining the escalation of drug use in substance dependence: models and appropriate animal laboratory tests

Escalation of drug use, a hallmark of drug dependence, has traditionally been interpreted as reflecting the development of tolerance to the drug's effects. However, on the basis of animal behavioral data, several groups have recently proposed alternative explanations, i.e. that such an escalation of drug use might not be based on (1) tolerance, but rather be indicative of (2) sensitization to the drug's reinforcing effect, (3) reward allostasis, (4) an increase in the incentive salience of drug-associated stimuli, (5) an increase in the reinforcing strength of the drug reinforcer relative to alternative reinforcers, or (6) habit formation. From the pharmacological perspective, models 1-3 allow predictions about the change in the shape of drug dose-effect curves that are based on mathematically defined models governing receptor-ligand interaction and signal transduction. These predictions are tested in the present review, which also describes the other currently championed models for drug use escalation and other components of apparent 'reinforcement' (in its original meaning, like 'tolerance' or 'sensitization', a purely descriptive term). It evaluates the animal experimental approaches employed to support or prove the existence of each of the models and reinforcement components, and recapitulates the clinical evidence, which strongly suggests that escalation of drug use is predominantly based on an increase in the frequency of intoxication events rather than an increase in the dose taken at each intoxication event. Two apparent discrepancies in animal experiments are that (a) sensitization to overall reinforcement has been found more often for psychostimulants than for opioids, and that (b) tolerance to the reinforcing and other effects has been observed more often for opioids than for cocaine. These discrepancies are resolved by the finding that cocaine levels seem to be more tightly regulated at submaximum reinforcing levels than opioid levels are. Consequently, animals self-administering opioids are more likely to expose themselves to higher above-threshold doses than animals self-administering psychostimulants, rendering the development of tolerance to opioids more likely than tolerance to psychostimulants. The review concludes by making suggestions on how to improve the current behavioral experimental approaches.

Phenotype-genotype relationship and clinical effects of citalopram in Chinese patients

Although the relationship of CYP2C19 polymorphism to citalopram disposition has been studied in healthy subject, this relationship in combination with dynamic effects (clinical adverse effect of citalopram) has not been well studied in patients. We carried out the present study to investigate the CYP2C19 genotype-phenotype relationship and potentially relate such relationship to the clinical effect (specifically adverse effects) of citalopram in Chinese patients who are known to have relatively high prevalence of poor metabolizers (PMs) of CYP2C19. Fifty-three Chinese adult patients were recruited. One to 2 blood samples at 4 to 24 hours postdose were collected after a minimum of 2 weeks of citalopram administration. The CYP2C19 genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism, and the plasma concentrations of citalopram and desmethylcitalopram were determined by a liquid chromatography-tandem mass spectrometry method. The clinical adverse effects associated with citalopram were assessed according to Toronto Side Effects Scale (TSES). A population pharmacokinetic model was used to analyze the citalopram concentrations. Among 53 patients, 21 were homozygous extensive metabolizers (EMs) (CYP2C19*1/*1), 25 heterozygous EMs (CYP2C19*1/*2 or *1/*3), and 7 PMs (CYP2C19*2/*2 or *2/*3 or *3/*3). The metabolic ratios (plasma concentration of desmethylcitalopram to citalopram) were found to be 0.20 +/- 0.07, 0.15 +/- 0.05, and 0.07 +/- 0.03 in the homozygous EMs, heterozygous EMs, and PMs, respectively (P < 0.001, 1-way analysis of variance). On the basis of the results from our population pharmacokinetic modeling analysis, the citalopram oral clearances in the PMs were 42.9% and 33.3% (both P < 0.05) lower compared with the homozygous and heterozygous EMs, respectively. Statistically significant correlation was observed between the oral clearance and TSES scores in individual patients (rs = -0.37, P = 0.012). The mean TSES score also tended to be higher in PM than EM patients, but the difference was not statistically significant (P = 0.234). The study demonstrated a significant CYP2C19 genotype-phenotype relationship in Chinese patients receiving citalopram treatment. Such a relationship also tended to correlate with the clinical adverse effects of the drug. These results provide important pharmacogenetic implications for citalopram therapy in the Chinese population in whom relatively high frequency of CYP2C19 PM phenotype exists.

The AGNP-TDM Expert Group Consensus Guidelines: focus on therapeutic monitoring of antidepressants

Therapeutic drug monitoring (TDM) of psychotropic drugs such as antidepressants has been widely introduced for optimization of pharmacotherapy in psychiatric patients. The interdisciplinary TDM group of the Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) has worked out consensus guidelines with the aim of providing psychiatrists and TDM laboratories with a tool to optimize the use of TDM. Five research-based levels of recommendation were defined with regard to routine monitoring of drug plasma concentrations: (i) strongly recommended; (ii) recommended; (iii) useful; (iv) probably useful; and (v) not recommended. In addition, a list of indications that justify the use of TDM is presented, eg, control of compliance, lack of clinical response or adverse effects at recommended doses, drug interactions, pharmacovigilance programs, presence of a genetic particularity concerning drug metabolism, and children, adolescents, and elderly patients. For some drugs, studies on therapeutic ranges are lacking, but target ranges for clinically relevant plasma concentrations are presented for most drugs, based on pharmacokinetic studies reported in the literature. For many antidepressants, a thorough analysis of the literature on studies dealing with the plasma concentration-clinical effectiveness relationship allowed inclusion of therapeutic ranges of plasma concentrations. In addition, recommendations are made with regard to the combination of pharmacogenetic (phenotyping or genotyping) tests with TDM. Finally, practical instructions are given for the laboratory practitioners and the treating physicians how to use TDM: preparation of TDM, drug analysis, reporting and interpretation of results, and adequate use of information for patient treatment TDM is a complex process that needs optimal interdisciplinary coordination of a procedure implicating patients, treating physicians, clinical pharmacologists, and clinical laboratory specialists. These consensus guidelines should be helpful for optimizing TDM of antidepressants.

Effect of age and gender on citalopram and desmethylcitalopram steady-state plasma concentrations in adults and elderly depressed patients

The effect of aging on steady-state plasma concentrations of citalopram (CIT) and desmethylcitalopram (DCIT) was investigated in 128 depressive patients treated with 10-80 mg/day CIT. They were separated into three groups, with age up to 64 years (mean age+/-S.D.: 47+/-12 years; n=48), between 65 and 79 years (72+/-1 years; n=57), and from 80 years or older (84+/-1 years; n=23). Body mass index (BMI), renal and hepatic functions were similar in the three groups. A large interindividual variability of plasma levels of CIT (16-fold) and DCIT (12-fold) was measured for a given dose. The mean plasma levels of CIT corrected for a 20 mg daily dose were 55% higher in the very elderly (>=80 years) patients (65+/-30 ng/ml; p<0.001) and 38% higher in the elderly (65-79 years) patients (58+/-24 ng/ml; p<0.001) when compared to the adult patients (42+/-17 ng/ml). DCIT mean plasma level was 38% higher (p<0.05) in the group of very elderly patients (22+/-10 ng/ml) when compared to the adult patients (16+/-9 ng/ml). As a consequence, the mean plasma concentration of CIT+DCIT was 48% higher in the very elderly patients (86+/-36 ng/ml; p<0.001) and 33% higher in the elderly patients (77+/-28 ng/ml; p<0.001) when compared to the adult patients (58+/-21 ng/ml). Age correlated significantly with CIT (r=0.43, p<0.001), DCIT (r=0.28, p<0.01), and CIT+DCIT plasma levels (r=0.44, p<0.001), and thus accounts for 18% of the variability of CIT plasma levels, with no influence of gender. The recommended dose reduction of CIT in elderly patients seems therefore justified.

Utility of sparse concentration sampling for citalopram in elderly clinical trial subjects

The objective of this study was to evaluate whether the disposition of the selective serotonin reuptake inhibitor, citalopram, could be robustly captured using 1 to 2 concentration samples per subject in 106 patients participating in 2 clinical trials. Nonlinear mixed-effects modeling was used to evaluate the pharmacokinetic parameters describing citalopram's disposition. Both a prior established 2-compartment model and a de novo 1-compartment pharmacokinetic model were used. Covariates assessed were concomitant medications, race, sex, age (22-93 years), and weight. Covariates affecting disposition were assessed separately and then combined in a stepwise manner. Pharmacokinetic characteristics of citalopram were well captured using this sparse sampling design. Two covariates (age and weight) had a significant effect on the clearance and volume of distribution in both the 1- and 2-compartment pharmacokinetic models. Clearance decreased 0.23 L/h for every year of age and increased 0.14 L/h per kilogram body weight. It was concluded that hyper-sparse sampling designs are adequate to support population pharmacokinetic analysis in clinically treated populations. This is particularly valuable for populations such as the elderly, who are not typically available for pharmacokinetic studies.

Routine therapeutic drug monitoring in patients treated with 10-360 mg/day citalopram

From data collected during routine TDM, plasma concentrations of citalopram (CIT) and its metabolites demethylcitalopram (DCIT) and didemethylcitalopram (DDCIT) were measured in 345 plasma samples collected in steady-state conditions. They were from 258 patients treated with usual doses (20-60 mg/d) and from patients medicated with 80-360 mg/d CIT. Most patients had one or several comedications, including other antidepressants, antipsychotics, lithium, anticonvulsants, psychostimulants and somatic medications. Dose-corrected CIT plasma concentrations (C/D ratio) were 2.51 +/- 2.25 ng mL-1 mg-1 (n = 258; mean +/- SD). Patients >65 years had significantly higher dose-corrected CIT plasma concentrations (n = 56; 3.08 +/- 1.35 ng mL-1 mg-1) than younger patients (n = 195; 2.35 +/- 2.46 ng mL-1 mg-1) (P = 0.03). CIT plasma concentrations in the generally recommended dose range were [mean +/- SD, (median)]: 57 +/- 64 (45) ng/mL (10-20 mg/d; n = 64), 117 +/- 95 (91) ng/mL (21-60 mg/d; n = 96). At higher than usual doses, the following concentrations of CIT were measured: 61-120 mg/d CIT, 211 +/- 103 (190) ng/mL (n = 93); 121-200 mg/d: 339 +/- 143 (322) ng/mL (n = 70); 201-280 mg/d: 700 +/- 408 (565) ng/mL (n = 18); 281-360 mg/d: 888 +/- 620 (616) ng/mL (n = 4). When only one sample per patient (at the highest daily dose if repeated dosages) is considered, there is a linear and significant correlation (n = 48, r = 0.730; P < 0.001) between daily dose (10-200 mg/d) and CIT plasma concentrations. In experiments with dogs, DDCIT was reported to affect the QT interval when present at concentrations >300 ng/mL. In this study, DDCIT concentration reached 100 ng/mL in a patient treated with 280 mg/d CIT. Twelve other patients treated with 140-320 mg/d CIT had plasma concentrations of DDCIT within the range 52-73 ng/mL. In a subgroup comprised of patients treated with > or =160 mg/d CIT and with CIT plasma concentrations < or =300 ng/mL, and patients treated with < or =200 mg/d CIT and CIT plasma concentrations > or = 600 ng/mL, the enantiomers of CIT and DCIT were also analyzed. The highest S-CIT concentration measured in this subgroup was 327 ng/mL in a patient treated with 140 mg/d CIT, but the highest S-CIT concentration (632 ng/mL) was measured in patient treated with 360 mg/d CIT. In conclusion, there is a highly linear correlation between CIT plasma concentrations and CIT doses, well above the usual dose range.

Therapeutic drug monitoring of non-tricyclic antidepressant drugs

Therapeutic drug monitoring (TDM) of many of the tricyclic antidepressants (TCAs) has been demonstrated to be of clear clinical value. This article reviews studies of TDM for the selective serotonin reuptake inhibitors (SSRIs) and other non-tricyclic antidepressants such as venlafaxine, nefazodone, trazodone, mianserin and bupropion. No definitive therapeutic concentrations have been demonstrated for these agents, nor have levels indicative of toxicity been reported. The major benefit of TDM for these agents would appear to be in the assessment of the apparently treatment-refractory depressed patient, to determine whether such lack of response is related to inadequate levels that would suggest either poor compliance, ultra-rapid metabolism, or drug interactions leading to induction of metabolising enzymes. Potential future applications of TDM, in conjunction with genotyping of cytochrome P450 enzymes and pharmacogenomic evaluations, are discussed.

Therapeutic drug monitoring of racemic citalopram: a 5-year experience in Sweden, 1992-1997

Racemic citalopram (CIT) was introduced in Sweden in 1992 for management of major depression. During a 5-year period, 1992 to 1997, serum samples of CIT and desmethylcitalopram (DCIT) were collected for therapeutic drug monitoring (TDM) from patients from all over Sweden. These samples were accompanied by clinical information on a specially designed TDM request form. They represented men and women of various ages (11-94 years) usually on multiple concomitant medications and treated in a naturalistic setting. The TDM samples eligible for evaluation (n = 749), all trough values at steady state, were studied with respect to inter- and intraindividual pharmacokinetic variability. Extensive, interindividual serum concentration variability was seen on all dose levels. For dose-corrected concentrations (C/D) and for clearance (Cl) we found the coefficient of variation (CV) to be approximately 55% for all variables (C/D CIT, C/D DCIT, the ratio DCIT to CIT, and for Cl CIT). The intraindividual variations over time for the same parameters were 30% to 35%. On a population level, signs of a possible saturation of CYP2D6 associated with increasing DCIT-to-CIT ratios with increasing daily doses was observed. Age and gender affected the pharmacokinetics of CIT and DCIT. Women showed significantly higher C/D CIT and C/D DCIT and lower Cl CIT values compared with men, and patients aged more than 65 years had higher C/D CIT and C/D DCIT and lower Cl CIT values compared with younger patients. Finally, concomitant medication affected the outcome of serum concentrations by a general increase in C/D CIT and C/D DCIT but without alteration in the DCIT-to-CIT ratio. Thus, this tendency of changes in the CIT disposition when multiple drugs are used (and multiple diseases are prevailing?) seems more general in character than specific for a certain drug or type of drugs.

Serum levels of citalopram and its main metabolites in adolescent patients treated in a naturalistic clinical setting

The prescribing of selective serotonin reuptake inhibitors for adolescents is extensive despite the fact that there are few pharmacokinetic (PK), efficacy, safety, or tolerability studies on this group. This study reports the PK findings from two trials in adolescents treated with citalopram (CIT) in naturalistic clinical settings: one retrospective and one prospective. The aim of our study was to describe serum concentrations of CIT, desmethylcitalopram (DCIT), and didesmethylcitalopram (DDCIT) (trough values in steady state) in adolescents in relation to daily dose and clinical information obtained from therapeutic drug monitoring request forms. Altogether, 44 patients younger than 21 years were scrutinized using this combined open-label approach. The main findings were that (1) there was a pronounced interindividual variability of serum CIT, DCIT, and DDCIT concentrations in all doses prescribed, in agreement with previous studies on adults; on correcting for dose, the coefficient of variance was about 50% for CIT, DCIT, and DDCIT; (2) the transformation of CIT to DCIT and of DCIT to DDCIT was similar within the dose range 20 to 60 mg/day; (3) there was a difference between the sexes on comparing the dose-corrected concentrations of CIT and DCIT, with girls presenting significantly higher values than boys; and (4) there was a strong dose-serum concentration relationship in three identified subgroups of adolescents: (a) nonsmokers (CIT, r(2) = 0.71; DCIT, r(2) = 0.81), (b) girls not taking oral contraceptives (CIT, r(2) = 0.75; DCIT, r(2) = 0.71,), and (c) girls in the last 14 days of the menstrual cycle (CIT, r(2) = 0.68; DCIT, r(2) = 0.64). In summary, the present study tentatively supports influences of sex, oral contraceptives, and smoking habits on the disposition of CIT in younger patients. Hence, future studies on CIT should assess these parameters.

Therapeutic drug monitoring databases for postmarketing surveillance of drug-drug interactions

Drug-drug interactions can be associated with patient morbidity due to either increased toxicity or a potentially ineffective concentration. Because interactions cannot always be anticipated during drug development and actual patients receiving a drug for therapeutic use often differ from those included in clinical trials, postmarketing surveillance is essential. Therapeutic drug monitoring (TDM) databases offer a unique opportunity in this respect. Prerequisites for TDM databases to provide valid information in a pharmacoepidemiological perspective include the following: precise description of exposure to the potentially interacting drugs; measurement of parent compound and active metabolites through accurate and precise analytical techniques; documentation of relevant patient characteristics that may act as confounding factors (e.g. gender, age, smoking habits); repeated assessments over time if possible; and sound pharmacokinetic framework for data selection, analysis and interpretation. The contribution of TDM to the documentation of drug-drug interactions takes advantage of different possible study designs, discussed on the basis of recently published studies. The single case report plays an important role as an alert signal. It is illustrated for a patient on long-term treatment, who displayed an unexpectedly high clozapine concentration after the introduction of ciprofloxacin comedication. The prospective on and off comedication panel study shows advantages in terms of carefully selected inclusion criteria and control of treatment modalities. A study of the thioridazine-fluvoxamine interaction is presented, with patients followed on thioridazine monotherapy, after introduction of fluvoxamine and after its discontinuation. The main advantage of the retrospective large-scale TDM database screen is representativeness of patients actually treated, whereas drawbacks are related to quality of data and suitability for valid interpretation. Such an approach is illustrated by a review of data collected over 10 years of routine TDM that allowed documenting induction of nortriptyline metabolism by carbamazepine and inhibition by several phenothiazines. Finally, population pharmacokinetics is well suited to observational data collected for TDM purpose, provided quality is ascertained. Focus is placed on interindividual variability and relationship between pharmacokinetic parameters and patient characteristics, including comedication. The population approach is discussed with respect to a study that documented a 32% increase of haloperidol clearance associated with anticonvulsant comedication, in addition to effects of age and bodyweight. Among factors to consider for improved effectiveness in the use of TDM databases for postmarketing surveillance of drug-drug interactions, integration of efficacy and safety data in future studies and communication of expert recommendations to prescribing physicians are essential.

Review of pharmacokinetic and pharmacodynamic interaction studies with citalopram

Citalopram is a selective serotonin reuptake inhibitor that is N-demethylated to N-desmethylcitalopram partially by CYP2C19 and partially by CYP3A4 and N-desmethylcitalopram is further N-demethylated by CYP2D6 to the likewise inactive metabolite di-desmethylcitalopram. The two metabolites are not active. The fact that citalopram is metabolised by more than one CYP means that inhibition of its biotransformation by other drugs is less likely. Besides citalopram has a wide margin of safety, so even if there was a considerable change in serum concentration then this would most likely not be of clinical importance. In vitro citalopram does not inhibit CYP or does so only very moderately. A number of studies in healthy subjects and patients have confirmed, that this also holds true in vivo. Thus no change in pharmacokinetics or only very small changes were observed when citalopram was given with CYP1A2 substrates (clozapine and therophylline), CYP2C9 (warfarin), CYP2C19 (imipramine and mephenytoin), CYP2D6 (sparteine, imipramine and amitriptyline) and CYP3A4 (carbamazepine and triazolam). At the pharmacodynamic level there have been a few documented cases of serotonin syndrome with citalopram and moclobemide and buspirone. It is concluded that citalopram is neither the source nor the cause of clinically important drug-drug interactions.

Therapeutic drug monitoring of sertraline: variability factors as displayed in a clinical setting

This report describes sertraline pharmacokinetics derived from routine therapeutic drug monitoring (TDM) data. A high-performance liquid chromatographic method with ultraviolet detection was established for routine sertraline TDM, and 924 analyses were performed from April 1995 to May 1997. Extensive predefined inclusion/exclusion criteria were applied to increase the validity of scientifically evaluated data. Subsequently, 605 samples (65.5%) were excluded. The remaining 319 samples from 319 patients, representative of steady state trough specimens and accompanied by essential clinical information provided on request forms, were scrutinized. A pronounced interindividual variability was observed. Smokers had significantly lower concentration-to-dose (C/D) mean ratios of serum sertraline (s-sert) and its main metabolite desmethylsertraline (s-dsert) than nonsmokers. Higher s-sert and s-dsert C/D mean ratios were found in elderly patients than in adults aged less than 65 years. In a subset of 20 patients in whom repeated TDM analyses were performed, observed intraindividual sertraline TDM outcome variability was low. The results highlight sertraline TDM as a tool for individual dose optimization and evaluation of patient drug compliance as well as drug-drug interactions.

Stereoselective HPLC-assay for citalopram and its metabolites

The racemic selective serotonin reuptake inhibitor citalopram (CIT) is increasingly used for depressive disorders. As both enantiomers of CIT differ in pharmacologic activity and demethylated metabolites might contribute to the antidepressent action of CIT, a stereoselective assay for all active compounds is needed, but will require that pharmacokinetic/pharmacodynamic relationships be investigated. A stereoselective high-performance liquid chromatography (HPLC)-assay (Chirobiotic V column) with UV-detection (lambda = 240 nm) for R- and S-CIT as well as both enantiomers of desmethyl(DM)-CIT and didesmethyl(DDM)-CIT was developed. The calibration range was linear from 5 to 200 ng/mL and the lower limit of detection averaged 2 ng/mL. Based on three quality controls (10, 75, and 150 ng/mL) the intraday and interday coefficients of variation ranged from 1.3% to 9.0% for CIT and from 2.2% to 10.3% for DM-CIT and DDM-CIT. The assay was used to analyze the trough steady state plasma levels of all 6 agents in 16 elderly patients treated daily with 20 to 40 mg CIT. For the dose of 20 mg (n = 14) mean values +/- SD of R- (and S-CIT) averaged 36.2+/-15.0 (27.4+/-13.1) ng/mL, respectively (mean R/S-ratio: 1.4+/-0.4), for R- (and S-DM-CIT) 7.2+/-3.1 (7.7+/-3.8) ng/mL, respectively (R/S-ratio: 1.0+/-0.3) whereas DDM-CIT was only detectable as R-enantiomer in 8 cases (13.2+/-12.1 ng/mL; range: 2.2-36.2 ng/mL). Significant (p < 0.01) linear correlations could be found between both enantiomers of CIT and DM-CIT as well as between parent drug and primary metabolite for the R-enantiomers. Apparently R/S- and metabolic ratios increased with dose; this might indicate that stereoselective disposition of CIT and DM-CIT is concentration-dependent. The present assay allows a rapid, sensitive, and reliable stereoselective determination of CIT and its (active) metabolites which can be applied for assessing pharmacokinetic parameters and evaluating putative relationships to clinical (side) effects.

Metabolism and pharmacokinetics of selective serotonin reuptake inhibitors

1. Five drugs with the predominant pharmacologic effect of inhibiting the neuronal reuptake of serotonin are available worldwide for clinical use. This class of psychoactive drugs, known as selective serotonin reuptake inhibitors (SSRIs), is comprised of fluoxetine, sertraline, paroxetine, fluvoxamine, and citalopram. 2. The SSRIs appear to share similar pharmacodynamic properties which translate to efficacy in the treatment of depression and anxiety syndromes. The drugs are differentiated by their pharmacokinetic properties with regard to stereochemistry, metabolism, inhibition of cytochrome enzymes, and participation in drug-drug interactions. Studies focusing on the relationship of plasma drug concentration to therapeutic and adverse effects have not confirmed the value of plasma concentration monitoring. 3. This review summarizes the metabolism and relevant pharmacokinetic properties of the SSRIs.

Citalopram in the treatment of depression and other potential uses in psychiatry

During the past decade, treatment options for depression have increased with the introduction of new agents. Older agents, such as tricyclic antidepressants and monoamine oxidase inhibitors, increase noradrenergic and serotonergic neurotransmission. Attempts to separate antidepressant effects from adverse effects led to the development of selective serotonin reuptake inhibitors (SSRIs). Citalopram is the newest SSRI to be marketed in the United States. Of all SSRIs on the market, it is the most selective for serotonin reuptake pump. Its efficacy in treating depression was evident in both placebo-controlled and comparator trials. In addition, citalopram was studied in the treatment of other psychiatric disorders. The agent has less inhibition of cytochrome P450 enzymes than other SSRIs, possibly giving it a lower potential for drug interactions.

High-performance liquid chromatography method for analyzing citalopram and desmethylcitalopram from human serum

This report describes a sensitive and specific method for analyzing a serotonin reuptake blocker, citalopram, and its active metabolite, desmethylcitalopram, in human serum. For high-performance liquid chromatography (HPLC) analysis, samples and standards are prepared with ASPEC automatic sample preparator using 100 mg Bond-Elut C-18 solid-phase extraction columns. The method is an isocratic HPLC method with a mobile phase of acetonitrile:methanol:50 mM dipotassium hydrogenphosphate, pH 4.7 (40:100). Detection is performed with diode array detector at 220 nm and the peak purity analyses at 210 to 365 nm. The intraassay coefficient of variation ranges from 3.7% to 7.3%, and the interassay coefficient of variation ranges from 6.9% to 9.9% at therapeutic drug concentrations. The detection limit is 15 nmol/l. The method is suitable for therapeutic drug monitoring in a clinical laboratory. A clear correlation, r = 0.72 (y = 0.36x + 17.94), between citalopram and its metabolite levels is observed in routine therapeutic drug monitoring service. A linear correlation between serum concentration and daily dose of citalopram in patient groups is also observed.

Steady-state pharmacokinetics of the enantiomers of citalopram and its metabolites in humans

The steady-state pharmacokinetics in serum and urine of the enantiomers of citalopram and its metabolites, demethylcitalopram (DCT) and didemethylcitalopram (DDCT), were investigated after multiple doses of rac-citalopram for 21 consecutive days (40 mg per day) to healthy human subjects who were extensive metabolisers of sparteine and mephenytoin. Comparable pharmacokinetic variability was noted for (+)-(S)-, (-)-(R)- and rac-citalopram. Enantiomeric (S/R) serum concentration ratios for citalopram were always less than unity and were constant during the steady-state dosing interval. A modest, but statistically significant, stereoselectivity in the disposition of citalopram and its two main metabolites was observed. Serum levels of the (+)-(S)-enantiomers of citalopram, DCT, and DDCT throughout the steady-state dosing interval investigated were 37 +/- 6%, 42 +/- 3% and 32 +/- 3%, respectively, of their total racemic serum concentrations. The (+)-(S)-enantiomers of citalopram, DCT, and DDCT were eliminated faster than their antipodes. For (-)-(R)- and (+)-(S)-citalopram, respectively, the serum t1/2 averaged 47 +/- 11 and 35 +/- 4 h and AUCss averaged 4,193 +/- 1,118 h.nmol/l and 2,562 +/- 1,190 h.nmol/l. The observed enantiospecificities were apparently more related to clearance, rather than to distributional mechanisms.

Pharmacokinetic-pharmacodynamic relationship of the selective serotonin reuptake inhibitors

The recently introduced antidepressants, the selective serotonin reuptake inhibitors (SSRIs) [citalopram, fluoxetine, fluvoxamine, paroxetine and sertraline], are known for their clinical efficacy, good tolerability and relative safety. They differ from each other in chemical structure, metabolism and pharmacokinetic properties. Therapeutic drug monitoring of these compounds is not widely used, as the plasma concentration ranges within which clinical response with minimal adverse effects appears to be optimal are not clearly defined. Almost all recent assays developed for the quantitative determination of SSRIs and their metabolites in blood are based either on the separation of SSRIs by high performance liquid chromatography (HPLC) or gas chromatography (GC). Citalopram and fluoxetine have been introduced as racemic compounds. There are some differences in the pharmacological profile, metabolism and pharmacokinetics between the enantiomers of the parent compounds and their demethylated metabolites. Stereoselective chromatographic methods for their analysis in blood are now available. With regard to the SSRIs presently available, no clearcut plasma concentration-clinical effectiveness relationship in patients with depression has been shown, nor any threshold which defines toxic concentrations. This may be explained by their low toxicity and use at dosages where serious adverse effects do not appear. SSRIs vary widely in their qualitative and quantitative interaction with cytochrome P450 (CYP) isozymes in the liver. CYP2D6 is inhibited by SSRIs, in order of decreasing potency paroxetine, norfluoxetine, fluoxetine, sertraline, citalopram and fluvoxamine. This may have clinical consequences with some but not all SSRIs, when they are taken with tricyclic antidepressants. Except for citalopram and paroxetine, little is known about the enzymes which control the biotransformation of the SSRIs. There have been many reports on marked pharmacokinetic interactions between fluoxetine and tricyclic antidepressants. Fluoxetine has a stronger effect on their hydroxylation than on their demethylation. Interactions observed between fluoxetine and alprazolam, midazolam and carbamazepine seem to occur on the level of CYP3A. Fluvoxamine strongly inhibits the N-demethylation of some tricyclic antidepressants of the tertiary amine type and of clozapine. This may lead to adverse effects but augmentation with fluvoxamine can also improve response in very rapid metabolisers, as it increases the bioavailability of the comedication. Fluvoxamine inhibits with decreasing potency, CYP1A2, CYP2C19, CYP2D6 and CYP1A1, but it is also an inhibitor of CYP3A. Fluoxetine and fluvoxamine have shown to increase methadone plasma concentrations in dependent patients. Some authors warn about a combination of monoamine oxidase (MAO) inhibitors with SSRIs, as this could lead to a serotonergic syndrome. Studies with healthy volunteers suggest, however, that a combination of moclobemide and SSRIs, such as fluvoxamine, should not present serious risks in promoting a serotonin syndrome. A combination of moclobemide and fluvoxamine has successfully been used in refractory depression, but more studies are needed, including plasma-concentration monitoring, before this combined treatment can be recommended. Paroxetine is a substrate of CYP2D6, but other enzyme(s) could also be involved. Its pharmacokinetics are linear in poor metabolisers of sparteine, and non-linear in extensive metabolisers. Due to its potent CYP2D6 inhibiting properties, comedication with this SSRI can lead to an increase of tricyclic antidepressants in plasma, as shown with amitriptyline and trimipramine. CYP3A has been claimed to be involved in the biotransformation of sertraline to norsertraline. Clinical investigations (with desipramine) confirmed in vitro findings that CYP2D6 inhibition by sertraline is only moderate. (ABSTRACT TRUNCATED)