Role of pharmacogenomics in individualising treatment with SSRIs

The increasing challenge of the possible impact of ethnicity on psychopharmacology

Ethnic differences may significantly influence the outcome of psychopharmacological treatment, in terms of prescription, adherence, clinical response, emergence of side effects, as well as pharmacokinetics and pharmacodynamics. The purpose of this review was to explore the available literature in order to provide general suggestions to help clinicians in choosing the best therapeutic option for patients, taking into account ethnicity. Although findings are sometimes controversial, the overall published studies suggest that ethnicities other than Caucasians tend to show a lower response to antidepressants and a reduced compliance. Africans tend to be more prescribed with antipsychotics, probably due to cultural stereotypes, except with clozapine, probably for their chronic benign neutropenia. Asians usually require less antipsychotic dosages than Caucasians. The differential response and side effect profile of antidepressants and antipsychotics have been related to individual intrinsic factors, to genetic make-up, but also to cultural and contextual variables. Interestingly, albeit limited data suggest ethnic-related genetic heterogeneity at the level of the serotonin transporters, the cytochromes and some neuroreceptors. Taken together, no conclusive findings are available about the role and impact of ethnicity in psychopharmacology. One of the main problems is that the majority of the studies in psychopharmacology have been conducted on Caucasians, so that there is an urgent need to have data in other populations. Furthermore, in the era of precision medicine, the role of ethnicity may be also supported by genetic analysis.

Comparison of vortioxetine versus venlafaxine XR in adults in Asia with major depressive disorder: a randomized, double-blind study

OBJECTIVE

This randomized, double-blind 8 week study compared the efficacy and tolerability of fixed-dose treatment with vortioxetine (10 mg/day) and venlafaxine extended release (XR) (150 mg/day) in major depressive disorder (MDD) patients.

RESEARCH DESIGN AND METHODS

Patients aged 18-65 years with a primary diagnosis of recurrent MDD, a Montgomery-Åsberg Depression Rating Scale (MADRS) total score ≥26 and a Clinical Global Impression-Severity (CGI-S) score ≥4 were randomized (1:1) to treatment with either vortioxetine or venlafaxine XR. The primary endpoint was change from baseline to Week 8 in MADRS total score (analysis of covariance [ANCOVA], full-analysis set [FAS], last observation carried forward [LOCF]), using a non-inferiority margin of +2.5 points. Pre-specified secondary endpoints included MADRS response and remission rates, anxiety symptoms (HAM-A), CGI, overall functioning (SDS), and health-related quality of life (Q-LES-Q).

CLINICAL TRIAL REGISTRATION

This study (SOLUTION) has the www.ClinicalTrials.gov identifier: NCT01571453.

RESULTS

On the primary efficacy endpoint at Week 8, non-inferiority was established with a difference of -1.2 MADRS points in favor of vortioxetine (95% CI: -3.0 to 0.6). The MADRS total score decreased (improved) from 32.3 ± 4.6 at baseline to 13.6 ± 9.6 (vortioxetine: n = 209) and from 32.3 ± 4.5 to 14.8 ± 10.4 (venlafaxine XR: n = 215) (FAS, LOCF). At Week 8, the HAM-A and SDS total scores, CGI and Q-LES-Q scores, and response and remission rates demonstrated similar improvement for vortioxetine and venlafaxine XR, with remission rates (MADRS ≤10) of 43.1% (vortioxetine) versus 41.4% (venlafaxine XR) (LOCF). Fewer vortioxetine than venlafaxine XR patients withdrew for any reason (18.0% versus 27.4%) or for adverse events (6.6% versus 13.7%). The most frequent adverse events (≥5%) for both treatments were nausea, dizziness, headache, and dry mouth. In addition, accidental overdose, decreased appetite, constipation and insomnia were reported by (≥5%) of patients treated with venlafaxine XR.

LIMITATIONS

The inclusion and exclusion criteria may limit the generalizability of the study. Since patients with a history of lack of response to venlafaxine XR were excluded from this study, there is a selection bias in favor of venlafaxine XR.

CONCLUSION

Vortioxetine was at least as efficacious as venlafaxine XR and was safe and better tolerated than venlafaxine XR.

Aging and Clinical Pharmacology: Implications for Antidepressants

The elderly frequently have changes in pharmacokinetics, sensitivity to medications, homeostatic reserve (ability to tolerate physiological challenges), exposure to multiple medications, and adherence. All of these age-associated factors can potentially influence total exposure to medication, adverse effects, and subsequent treatment outcome. Most clinical trials are performed with healthy, younger adults. Extrapolating the results of these trials to the elderly may be inappropriate, particularly for the antidepressant treatment of depression. The authors review these age-associated differences and discuss their implications for antidepressant use in older adults.

Understanding the molecular pharmacology of the serotonergic system: using fluoxetine as a model

OBJECTIVES

Serotonin is a monoamine neurotransmitter that is widely distributed in the body and plays an important role in a variety of psychological and other body functions such as mood, sexual desire and function, appetite, sleep, memory and learning, temperature regulation and social behaviour. This review will assess the use of fluoxetine, one of the most commonly used selective serotonin reuptake inhibitors, as a model for understanding the molecular pharmacology of the serotoninergic system.

KEY FINDINGS

Seven serotonin receptor families have been discovered to date. All serotonin receptors, except 5-HT(3), are G-protein coupled, seven transmembrane receptors that activate an intracellular second messenger cascade. The 5-HT(3) receptor is a ligand-gated ion channel. Furthermore, 5-HT(1A) receptors are known as autoreceptors since their stimulation inhibits the release serotonin in nerve terminals. A transporter protein found in the plasma membrane of serotonergic neurones is responsible for the reuptake of this neurotransmitter. Selective serotonin reuptake inhibitors, such as fluoxetine, act primarily at the serotonin transporter protein and have limited, if any, reaction with other neurotransmitter systems. Selective serotonin reuptake inhibitors appear to bind with the serotonin transporter with different rates of occupancy, duration and potency.

SUMMARY

The following review focuses on the interaction of serotonin with this membrane transporter in the body and assesses the use of fluoxetine as a reference drug in the understanding of this interaction.

Faster onset of antidepressant effects of citalopram compared with sertraline in drug-naïve first-episode major depressive disorder in a Chinese population: a 6-week double-blind, randomized comparative study

Several previous studies, including a meta-analysis, reported no significant differences between various selective serotonin reuptake inhibitors (SSRIs) in the treatment of major depressive disorder. However, because of the different chemical structure of SSRIs and the difference in the frequency of serotonin transporter polymorphisms between ethnic groups, a head-to-head comparative study between SSRIs in different populations may be enlightening. We compared the efficacy and adverse effect profiles of citalopram and sertraline in a double-blinded randomized clinical trial in a Chinese population of drug-naïve patients with first-episode major depressive disorder. Fifty-one patients were randomly assigned to citalopram or sertraline treatment. The Montgomery-Åsberg Depression Rating Scale (MADRS) was used as the primary outcome. Efficacy and adverse effects were analyzed in an intent-to-treat population. Efficacy was analyzed using a last-observation-carried-forward method for early terminators. There were no significant differences in demographic characteristics at baseline. No significant differences were found in MADRS scores between citalopram and sertraline at baseline (36.6 ± 5.5 vs 38.2 ± 4.9; P = 0.322) or at the end of treatment (week 6; 10.8 ± 10.0 vs 16.7 ± 11.3; P = 0.082). However, MADRS scores in the citalopram group were significantly lower at week 1 (25.2 ± 8.5 vs 30.4 ± 6.1; P = 0.029) and week 3 (15.9 ± 10.0 vs 22.1 ± 8.7; P = 0.037). Overall, treatment-emergent adverse effects were reported by 14.3% and 28.6% of patients in the citalopram and sertraline groups, respectively. In conclusion, citalopram and sertraline were both efficacious and well tolerated. However, citalopram exhibited a significantly faster onset than sertraline during the early weeks of treatment and tended to have a better efficacy in overall treatment, although the statistic was not significant.

Pharmacologic treatment of panic disorder

Comprehensive management of panic disorder involves a wide array treatments and interventions to reduce symptoms and increase functionality. This chapter provides an overview of the pharmacologic treatment of panic disorder including aspects of assessment, treatment selection and the biologic mechanisms of the illness.

Switching to duloxetine from selective serotonin reuptake inhibitors in non- or partial responders: Results from a Spanish sample

Objectives. To evaluate the efficacy and safety of switching from a selective serotonin reuptake inhibitor (SSRI) to duloxetine in non- or partial responders. Methods. This is a post-hoc analysis of the pooled data of the Spanish sample from an open-label, multicentre study. Additionally, a 6-month continuation safety phase was performed. Results. A total of 156 patients were switched to duloxetine from SSRIs. More than 83% completed the acute phase, of whom 75% went into the continuation phase. At baseline, the mean duration of SSRI treatment was 71.2 weeks and the HAM-D17 mean score was 22.4. In the acute-phase, symptoms severity significantly improved after 10 weeks of duloxetine treatment as measured by mean change from baseline in HAM-D17 total score (-10.5; P<0.001) and all secondary efficacy measures, including painful symptoms. Response (≥50% decrease in HAM-D17 total score) and remission rates (HAM-D17 total score ≤ 7) were 52.9 and 27.7%, respectively. The most common adverse events reported in both phases were headache (11.5% [acute]; 6.1% [continuation]) and nausea (6.4% [acute]; 5.1% [continuation]). Conclusions. In a population of Spanish SSRI non- and partial responders, switch to duloxetine was associated with significant improvement in emotional and painful symptoms of depression. Duloxetine was well tolerated and safe during both phases.

Escitalopram in major depressive disorder: a multicenter, randomized, double-blind, fixed-dose, parallel trial in a Chinese population

Escitalopram, the S-enantiomer of citalopram and the most selective of the selective serotonin reuptake inhibitor (SSRI) has been shown to be efficacious in the treatment of major depression in white populations. Our aim in this study was to investigate the efficacy and tolerability of escitalopram in Chinese patients with moderate to severe major depression. Patients who met DSM-IV criteria for a major depressive episode were enrolled in this multicenter, randomized, double-blind, fixed-dose comparison trial. Patients were given escitalopram 10 mg/day or fluoxetine 20 mg/day for 8 weeks. All patients were assessed with the 17-item Hamilton Depression Rating Scale (HAM-D-17) and the Montgomery-Asberg Depression Rating Scale (MADRS). Tolerability was assessed on the basis of adverse effects (measured with a locally developed checklist), regular biochemical tests, and electrocardiograph (ECG) assessments. Two hundred forty patients were enrolled and randomized to escitalopram (123 patients) or fluoxetine (117 patients). The HAM-D-17 total scores of both groups decreased significantly from baseline, but there was no significant difference at week 8 between the two groups (15.8 for escitalopram and 14.7 for fluoxetine; P >.05). There were no significant differences in response rates at all visits after treatment based on either HAM-D-17 or MADRS. A post hoc analysis indicated that escitalopram was superior to fluoxetine on two items of the HAM-D-17: "depressed mood" (P =.023) and "work and interest" (P =.024). The adverse events reported in the escitalopram and fluoxetine groups were comparable, and most were mild to moderate. Both drugs showed good compliance profiles. Escitalopram 10 mg/day is at least as efficacious as fluoxetine 20 mg/day and well tolerated in Chinese patients with major depression, with possible superiority in some core symptoms such as "depressed mood" and "work and interest."

Pharmacogenetic studies of antidepressant response: how far from the clinic?

Because the US FDA has begun to focus on disclosure of pharmacogenetic testing results in applications for new drug approval and review of existing drugs (see, eg, http://www.fda.gov/OHRMS/DOCKETS/AC/05/slides/2005-4194S1_Slide-Index.htm), the application of such testing in a clinical setting is likely to increase substantially. Instead of small cohorts of patients, potentially nearly every participant in the large pivotal trials required for drug approval could help inform the future application of that drug. Psychiatry as a whole, and antidepressant prescribing ni particular, stands to benefit in the near term from the identification of newer treatment targets that may overcome some of the limitations of current therapeutics. On the other hand, despite the excitement about the rapid pace of development in psychiatric pharmacogenetics, a number of key issues remain to be addressed before these discoveries are applied in a clinical setting. Close coordination will be required between those who study treatment efficacy and effectiveness and those who study genetic variation in populations to ensure that studies yield results that have scientific importance and clinical importance as well.

Using positron emission tomography to facilitate CNS drug development

Positron emission tomography (PET) is a non-invasive technology of nuclear medicine that has sensitivity for tracing low picomolar concentrations of radiolabeled molecules in the human body. Radiolabeling a new drug to high specific radioactivity facilitates a detailed mapping of its distribution to crucial organs in humans after the administration of a "microdose" (< 1 microg), for which limited toxicology documentation is required. For drugs directed at the CNS, this method is particularly useful for confirming exposure to the brain. A different approach is to develop suitable radioligands for quantitative PET studies of drug binding to target proteins and subsequently to correlate receptor occupancy with pharmacodynamic responses. To follow disease progression and to monitor the outcome of new treatments, PEt also facilitates longitudinal studies of biomarkers of pathophysiology such as amyloid plaque load in Alzheimer's disease. Finally, combining genomic knowledge with PET neuroreceptor imaging is expected to facilitate the search for genetic predictors of drug response.

Pharmacogenetics, race, and psychiatry: prospects and challenges

Although the field of pharmacogenetics has existed for nearly 50 years, it has begun to enter mainstream clinical practice only recently. Researchers and clinicians have now demonstrated that a wide assortment of genetic variants influence how individuals respond to medications. Many of these variants are relevant for psychiatry, affecting how patients respond to most antidepressants, antipsychotics, anxiolytics, and mood stabilizers. Enthusiasts hope that pharmacogenetics will soon usher in a new era of individualized medicine. However, determining the practical relevance of pharmacogenetic variants remains difficult, in part because of problems with study design and replication, and in part because a host of nongenetic factors (including age, diet, environmental exposures, and comorbid diseases) also influence how individuals respond to medications. Since individualized pharmacogenetic assessment remains difficult, some researchers have argued that race provides a convenient proxy for individual genetic variation, and that clinicians should choose medications and doses differently for different races. This approach remains extremely controversial because of the complexity of the genetic structure of the human population, the complexity of gene-environment interactions, and the complexity of the meanings of race in the United States.

Treatments in depression

Major depression is believed to be a multifactorial disorder involving predisposing temperament and personality traits, exposure to traumatic and stressful life events, and biological susceptibility. Depression, both unipolar and bipolar, is a "phasic" disease. Stressful life events are known to trigger depressive episodes, while their influence seems to decrease over the course of the illness. This suggests that depression is associated with progressive stress response abnormalities, possibly linked to impairments of structural plasticity and cellular resilience. It therefore appears crucial to adequately treat depression in the early stages of the illness, in order to prevent morphological and functional abnormalities. While evidence suggests that a severely depressed patient needs antidepressant drug therapy and that a non-severely depressed patient may benefit from other approaches (ie, "nonbiological"), little research has been done on the effectiveness of different treatments for depression. The assertion that the clinical efficacy of antidepressants is comparable between the classes and within the classes of those medications may be true from a statistical viewpoint, but is of limited value in practice. The antidepressant drugs may produce differences in therapeutic response and tolerability. Among the possible predictors of outcome in depression treatment, those derived from clinical assessment, neuroendocrine investigations, polysomnographic sleep parameters, genetic variables, and brain imaging techniques have been extensively studied. This article also reviews therapeutic strategies used when initial treatment fails, and describes briefly new concepts in antidepressant therapies such as the regulation of disturbances in circadian rhythms. The treatment of depressive illness does not stop with treatment of acute episodes, and has to be envisaged as a continuous therapeutic intervention, of which we are still not able to determine the optimal duration of treatment and the moment that it should be ceased.

Therapeutic Drug Monitoring and Pharmacogenetic Tests as Tools in Pharmacovigilance

Therapeutic drug monitoring (TDM) and pharmacogenetic tests play a major role in minimising adverse drug reactions and enhancing optimal therapeutic response. The response to medication varies greatly between individuals, according to genetic constitution, age, sex, co-morbidities, environmental factors including diet and lifestyle (e.g. smoking and alcohol intake), and drug-related factors such as pharmacokinetic or pharmacodynamic drug-drug interactions. Most adverse drug reactions are type A reactions, i.e. plasma-level dependent, and represent one of the major causes of hospitalisation, in some cases leading to death. However, they may be avoidable to some extent if pharmacokinetic and pharmacogenetic factors are taken into consideration. This article provides a review of the literature and describes how to apply and interpret TDM and certain pharmacogenetic tests and is illustrated by case reports. An algorithm on the use of TDM and pharmacogenetic tests to help characterise adverse drug reactions is also presented. Although, in the scientific community, differences in drug response are increasingly recognised, there is an urgent need to translate this knowledge into clinical recommendations. Databases on drug-drug interactions and the impact of pharmacogenetic polymorphisms and adverse drug reaction information systems will be helpful to guide clinicians in individualised treatment choices.

Pharmacogenomics in depression and antidepressants

Genetic factors are believe y a major role in the variation of treatment response and the incidence of adverse effects to medication. The aim of pharmacogenetics is to elucidate this variability according to hereditary differences. Considering current hypotheses for the mechanisms of action of antidepressants, most investigations to date have concentrated on mutations in genes coding either for the pathways in the serotonergic and noradrenergic systems or for drug-metabolizing enzymes. Recent studies shifted the emphasis on the mains mechanism of drug action from changes in neurotransmitter concentration or receptor function toward long-lasting adaptive processes within the neurons. Although the results are controversial, many studies support the hypothesis that psychopharmacogenetics will help predict an individual's drug response, while minimizing the side effects. The inclusion of functional genomics, investigate the complex gene and/or protein expression in response to a given drug, may lead to the development of novel and safer drugs.

Pharmacogenetics of the serotonin transporter

Response to psychopharmacologic drugs is genetically complex, results from an interplay of multiple genomic variations with environmental influences, and depends on the structure or functional expression of gene products, which are direct drug targets or indirectly modify the development and synaptic plasticity of neural networks critically involved in their effects. During brain development, the serotonin (5HT) system, which is commonly targeted by antidepressant, anxiolytic, and antipsychotic drugs, controls neuronal specification, differentiation, and phenotype maintenance. While formation and integration of these neural networks is dependent on the action of multiple proteins, converging lines of evidence indicate that genetically controlled variability in the expression of the 5HT transporter (5HTT) is critical to the development and plasticity of distinct neurocircuits. The most promising finding to date indicate an association between the response time as well as overall response to serotonin reuptake inhibitors (SSRIs) and a common polymorphism (5HTTLPR) within the transcriptional control region of the 5HTT gene (SLC6A4) in patients with depressive disorders. The formation and maturation of serotonergic and associated systems, in turn, are influencing the efficacy of serotonergic compounds in a variety of psychiatric conditions. Based on the notion that complex gene x gene and gene x environment interactions in the regulation of brain plasticity are presumed to contribute to individual differences in psychopharmacologic drug response, the concept of developmental psychopharmacogenetics is emerging.

Candidate genes for antidepressant response to selective serotonin reuptake inhibitors

Selective serotonin reuptake inhibitors (SSRIs) can safely and successfully treat major depression, although a substantial number of patients benefit only partially or not at all from treatment. Genetic polymorphisms may play a major role in determining the response to SSRI treatment. Nonetheless, it is likely that efficacy is determined by multiple genes, with individual genetic polymorphisms having a limited effect size. Initial studies have identified the promoter polymorphism in the gene coding for the serotonin reuptake transporter as moderating efficacy for several SSRIs. The goal of this review is to suggest additional plausible polymorphisms that may be involved in antidepressant efficacy. These include genes affecting intracellular transductional cascades; neuronal growth factors; stress-related hormones, such as corticotropin-releasing hormone and glucocorticoid receptors; ion channels and synaptic efficacy; and adaptations of monoaminergic pathways. Association analyses to examine these candidate genes may facilitate identification of patients for targeted alternative therapies. Determining which genes are involved may also assist in identifying future, novel treatments.

Evidence for a combined genetic effect of the 5-HT(1A) receptor and serotonin transporter genes in the clinical outcome of major depressive patients treated with citalopram

In the context of a long-term follow-up study, we analysed the possible implication of the 5-HT(1A) receptor gene (HTR1A) -1018C/G polymorphism in the clinical outcome of major depressive patients treated with citalopram. We had previously reported an association between variation on the SERT gene (SLC6A4) and clinical remission after citalopram treatment. In the present 12-week follow-up study, the combined effect of HTR1A and SLC6A4 genes in clinical outcome and response to citalopram was also evaluated. The sample consisted of 130 patients, all of Spanish origin, who were diagnosed as having a current major depressive episode according to DSM-IV criteria. A 21-item Hamilton Depression Rating Scale was used to assess severity of symptoms at the beginning and during the follow-up to determine the outcome and remission status at week 12. Patients were genotyped for HTR1A gene and, in addition, for two polymorphisms at the CYP2C19 gene, which together account for the 87% of the Caucasian poor metabolizer phenotype. Data were analysed adjusting for the effect of poor metabolizers in clinical response. No independent effect was found for the 5-HT(1A) receptor gene in relation to clinical outcome or remission after citalopram treatment. However, a combined genetic effect of HTR1A and SLC6A4 genes was found to influence the clinical outcome of patients [F(4,102) = 2.89, p= 0.02]. When considering the remission status, an increase of patients carrying the risk genotype combination (S/S-G/G) was found among those subjects who did not reach remission (Fisher's exact test = 0.009). Our results suggest that the combined effect of the serotonin transporter and the 5-HT(1A) receptor genes could be related to the clinical outcome of depressive patients treated with citalopram.

Antidepressant Drug-Drug Interaction Profile Update

Drug-drug interactions continue to be underappreciated and misunderstood by most clinicians. Although life-threatening drug interactions are rare, serious clinical consequences, including altered drug response, poor tolerability with reduced medication adherence, and increased costs for care tied to the increased complexity of therapy, are fairly commonplace. Drug interactions may be further complicated by genetic differences in metabolic capacity. Patients who routinely require long-term treatment for depression have an increased likelihood of experiencing a drug-drug interaction since they will take over-the-counter and prescription medications for intercurrent and/or co-morbid illness. Antidepressants can be the object of drug interactions when their metabolic pathways are affected by other substances, or they can precipitate interactions by inhibiting enzyme pathways. Clinicians can improve the short- and long-term outcomes of patients with a depressive disorder by considering the possibility of drug-drug interactions both before prescribing a specific antidepressant and while monitoring for response, adverse effects and patient compliance.

The evolving role of genomics in shaping care for persons with dementia

Alzheimer's disease and other chronic dementing conditions remain formidable challenges for individuals, their families, and health care providers. In addition to the challenges inherent in the sheer numbers affected, the complex and relatively unpredictable progression of these disorders complicates the delivery of interventions for health care providers. Identifying genetic and environmental etiologic factors and understanding their relationship to the natural history of dementia brings health care providers closer to more effective pharmacologic treatments and perhaps cure. In the meantime, genomics research brings professional nurses closer to providing more specific, perhaps individualized, anticipatory guidance and to providing nonpharmacologic interventions in a genotype-directed way to patients with chronic dementing conditions. The emergence of a genomics-based health care environment presents an opportunity and a challenge for gerontological nurse clinicians, educators, and researchers--an opportunity to evolve practice toward a higher level of specificity and effectiveness and a challenge to do so in a equitable and sensitive manner that improves health and quality of life for all served.

The pharmacogenomics of selective serotonin reuptake inhibitors

The introduction of selective serotonin (5-HT) reuptake inhibitors (SSRIs) has significantly improved the pharmacological treatment of a range of psychiatric disorders. Nevertheless, despite the undoubted advantages of antidepressant treatment in terms of improved tolerability to therapy while maintaining a high level of efficacy, not all patients benefit from it; an appreciable proportion do not respond adequately, while others may show adverse reactions. The necessary change of the initial treatment choice often requires extended periods for the remission of symptomatology. Such difficulties could be avoided if it should be possible to determine more quickly the most suitable drug. Several factors have been thought to influence the outcome of antidepressant therapy. Among the factors influencing the interindividual variability in response to treatment with SSRI, differences in genetic features may play a significant role. Several genetic polymorphisms have been associated with therapeutic SSRI response, including genetic variants of the 5-HT transporter, 5-HT-2A-receptor, tryptophan hydroxylase, brain-derived neurotrophic factor, G-protein beta3 subunit, interleukin-1beta and angiotensin-converting enzyme, although with conflicting results; also cytochrome P450 drug-metabolising enzymes may bear a particular importance, although further corroboration of the findings is necessary, and further key participating genes remain to be identified. The hope is that the identification of these genetic components will eventually facilitate the development of a customised SSRI treatment.

Personalized psychiatry: a realistic goal

It is becoming increasingly evident that the implementation of true personalized medicine will not come as rapidly and smoothly as initially hoped. In the aftermath of the drafting of the human genome in 2001, the popular and scientific media featured numerous commentaries heralding the approaching arrival of personalized medicine to the clinic, and describing its huge benefits for patients. Media coverage predicted a drastic transformation for the practice of medicine, second to the revolution brought about by the discovery of vaccines and antibiotics. From the perspective of another 3 years, during which substantial new insights were made into the enormous complexity of human genome variation, it seems that true personalized medicine may still be decades away for many aspects of medical treatment. Nonetheless, the prospects for implementation of at least certain elements of personalized medicine for one key discipline, psychiatry, might be relatively close and more realistic. With the correct focus, realization of some benefits of genetic patient profiling for psychiatric pharmacotherapy might be near, and in due course, lead the way for true personalized psychiatry.

5-HTTLPR polymorphism of the serotonin transporter gene predicts non-remission in major depression patients treated with citalopram in a 12-weeks follow up study

In the context of a long term follow-up study, we analysed the possible implication of the 5-HTTLPR polymorphism at the serotonin transporter gene in clinical response and remission of major depressive patients treated with citalopram. The sample consisted of 131 patients, all of Spanish origin, diagnosed according to DSM-IV criteria. A 21-item Hamilton Depression Rating Scale (HDRS) was used to evaluate severity of the symptoms during the follow-up and to determine clinical response and remission condition of the patients at 4th and 12th week, respectively. Our results showed that S/S genotype of the 5-HTTLPR polymorphism was associated with the non-Remission condition at 12th week (chi2 = 8.7, P = 0.013). Moreover, homozygous for the allele S presented three times more risk for non reaching remission of depressive episode after citalopram treatment than patients with any other 5-HTTLPR genotype combination (chi2: 7.29, P = 0.006; OR = 3.23 [95%CI: 1.24-8.5]). In conclusion, our results show that genetic variation of serotonin transporter is involved in clinical remission of major depressive episodes after twelve weeks of citalopram treatment.

Using pharmacogenetics and pharmacogenomics in the treatment of psychiatric disorders: some ethical and economic considerations

Current pharmacotherapies for psychiatric disorders are generally incompletely effective. Many patients do not respond well or suffer adverse reactions to these drugs, which can result in poor patient compliance and poor treatment outcome. Adverse drug reactions and non-response are likely to be influenced by genetic polymorphisms. Pharmacogenetics holds some promise for improving the treatment of mood disorders by utilising information about genetic polymorphisms to match patients to the drug therapy that is the most effective with the fewest side effects. Pharmacogenomics promises to facilitate the development of new drugs for treatment. However, these technologies raise many ethical, economic and regulatory issues that need to be addressed before they can be integrated into psychiatry, and medicine more generally. We discuss ethical and policy issues arising from pharmacogenetic testing and pharmacogenomics research, such as informed consent, privacy and confidentiality, research on vulnerable persons and discrimination; and economic viability of pharmacogenetics and pharmacogenomics. We conclude with recommendations for the regulation and distribution of pharmacogenetic testing services and pharmacogenomic drugs.

Pharmacogénétique, étude du génome et développement des médicaments

The topics discussed in this article are concerned with studying genomic polymorphism and identifying new therapeutic targets, the role of genetics in preclinical and clinical drug development, and cultural, regulatory and logistical aspects of the development of pharmacogenetics in France. The conclusions are that from a physiological, biochemical or genomic point of view, the study of human genetic polymorphism has obvious potential value for drug development, because it can help to identify new therapeutic targets, and to predict drug efficacy and tolerability more effectively. There are already several examples of the latter approach, which relies on studying the genetic variability of enzymes involved in drug metabolism, and that of the effector molecules of the pharmacological activity. Pharmacogenetics could eventually make it possible to personalize drug treatments, as methods for analysing genes are simplified and their cost reduced. To help attain this still far-off goal, certain recommendations have been proposed.