Predicting response to lithium in mood disorders: role of genetic polymorphisms

Targeting drug sensitivity predictors: New potential strategies to improve pharmacotherapy of human brain disorders

One of the main challenges in medicine is the lack of efficient drug therapies for common human disorders. For example, although depressed patients receive powerful antidepressants, many often remain resistant to psychopharmacotherapy. The growing recognition of complex interplay between the drug targets and the predictors of drug sensitivity requires an improved understanding of these two key aspects of drug action and their potentially shared molecular networks. Here, we apply the concept of endophenotypes and their interplay to drug action and sensitivity. Based on these analyses, we postulate that novel drugs may be developed by targeting specific molecular pathways that integrate drug targets with drug sensitivity predictors.

Glycogen synthase kinase 3β gene polymorphisms may be associated with bipolar I disorder and the therapeutic response to lithium

BACKGROUND

Glycogen Synthase Kinase 3β (GSK-3β) is thought to be a key feature in the therapeutic mechanism of mood stabilizers (e.g., lithium). Overexpression of GSK-3β might play a role in the pathogenesis of bipolar I disorder. Within the GSK-3β gene, a promoter single nucleotide polymorphism (SNP) rs334558 was identified associated with transcriptional strength, and an intronic SNP rs6438552 was found to regulate selection of splice acceptor sites. The aim of this study is to test the association between the two polymorphisms and bipolar I disorder.

METHODS

We genotyped the two SNPs in 138 Taiwanese bipolar I disorder patients and 131 controls. Lithium treatment efficacy was evaluated for 83 patients who had been treated with lithium carbonate for at least 24 months.

RESULTS

We found no association between each of the two SNPs and the risk of bipolar I disorder. Following correction for multiple testing, CT genotype at rs6438552 was associated with an older age of onset than other genotypes (P=0.042) in female patients. Patients with genotype TT at rs334558 (P=0.044) had poorer response to lithium treatment. There was a trend that haplotype C-T increased the risk for bipolar I disorder (adjusted OR=4.22, corrected P=0.084), and patients with haplotype T-T had poorer treatment response to lithium than those with haplotype C-C.

LIMITATIONS

Limitations included small sample size, retrospective data collection, and a potential sampling bias.

CONCLUSIONS

Despite the several limitations of the study, our results suggested GSK-3β genetic variants may be associated with the risk of bipolar I disorder, age of disease onset in females, and the therapeutic response to lithium.

The World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for the biological treatment of bipolar disorders: update 2012 on the long-term treatment of bipolar disorder

OBJECTIVES

These guidelines are based on a first edition that was published in 2004, and have been edited and updated with the available scientific evidence up to October 2012. Their purpose is to supply a systematic overview of all scientific evidence pertaining to the long-term treatment of bipolar disorder in adults.

METHODS

Material used for these guidelines are based on a systematic literature search using various data bases. Their scientific rigor was categorised into six levels of evidence (A-F) and different grades of recommendation to ensure practicability were assigned.

RESULTS

Maintenance trial designs are complex and changed fundamentally over time; thus, it is not possible to give an overall recommendation for long-term treatment. Different scenarios have to be examined separately: Prevention of mania, depression, or an episode of any polarity, both in acute responders and in patients treated de novo. Treatment might differ in Bipolar II patients or Rapid cyclers, as well as in special subpopulations. We identified several medications preventive against new manic episodes, whereas the current state of research into the prevention of new depressive episodes is less satisfactory. Lithium continues to be the substance with the broadest base of evidence across treatment scenarios.

CONCLUSIONS

Although major advances have been made since the first edition of this guideline in 2004, there are still areas of uncertainty, especially the prevention of depressive episodes and optimal long-term treatment of Bipolar II patients.

When should mood stabilizers be withdrawn due to lack of efficacy? Some methodological considerations

Maintenance therapy in bipolar disorder is primarily aimed at preventing recurrence of acute episodes. Clinicians often decide on the basis of their own experience whether mood stabilizer (MS) is properly satisfying the objective of preventing a relapse/recurrence. Evidence-based data seem far from clinical practice in assessing a MS efficacy, as they mainly focus on a drug's efficacy to first relapse and not considering the patient's course of illness. The problem of assessing MS's efficacy seems further complicated when considering combination therapy, which, due to lack of evidence-based data, economical aspects, attitude of clinicians and legal issues may bring to cumulative prescriptions. Nowadays, the drug therapy for a bipolar patient is usually tailored after longitudinal observation of his specific course of illness. The course of illness should be considered also when choosing practical criteria for the suspension of a MS due to lack of efficacy. The authors propose some preliminary criteria which may help clinicians evaluating whether a mood stabilizer is being useful or not, dividing possible outcomes and suggesting subsequent therapeutic steps in the optimization of a patient's treatment.

Harm avoidance moderates the influence of serotonin transporter gene variants on treatment outcome in bipolar patients

Response to pharmacological treatments is moderated by both genetic and environmental factors. The contribution of such factors is relatively small and complex interactions are likely to be involved. Serotonin transporter gene (SLC6A4) is a major candidate gene associated to response to antidepressant treatment. Moreover, the 5-HTTLPR polymorphism has been associated with anxiety-related traits such as neuroticism and harm avoidance (HA), which are known to influence the risk to develop mood disorders and response to treatments. In the present study we aimed to investigate the interaction between 3 SLC6A4 variants and HA on medium term antidepressant response in a sample of depressed bipolar-spectrum patients followed for 12 months. Contrary to expectations, SLC6A4 variants did significantly influence neither the course of depressive symptoms nor HA scores. However, a significant interaction was observed between HA and 5-HTTLPR genotype. Indeed, a high HA impaired outcome in patients carrying the L(G)/S or the S/S genotype more than in L(A)/L(A) patients. Though a number of limitations characterize the present study, our results indicate HA as a potential moderator of the effect of 5-HTTLPR on the outcome of depression. Given that many factors may influence response to pharmacological treatments, studies that consider personality and other individual characteristics are warranted also in pharmacogenetic investigations.

Lithium: updated human knowledge using an evidence-based approach. Part II: Clinical pharmacology and therapeutic monitoring

After a single dose, lithium, usually given as carbonate, reaches a peak plasma concentration at 1.0-2.0 hours for standard-release dosage forms, and 4-5 hours for sustained-release forms. Its bioavailability is 80-100%, its total clearance 10-40 mL/min and its elimination half-life is 18-36 hours. Use of the sustained-release formulation results in 30-50% reductions in peak plasma concentrations without major changes in the area under the plasma concentration curve. Lithium distribution to the brain, evaluated using 7Li magnetic resonance spectroscopy, showed brain concentrations to be approximately half those in serum, occasionally increasing to 75-80%. Brain concentrations were weakly correlated with serum concentrations. Lithium is almost exclusively excreted via the kidney as a free ion and lithium clearance is considered to decrease with aging. No gender- or race-related differences in kinetics have been demonstrated. Renal insufficiency is associated with a considerable reduction in renal clearance of lithium and is considered a contraindication to its use, especially if a sodium-poor diet is required. During the last months of pregnancy, lithium clearance increases by 30-50% as a result of an increase in glomerular filtration rate. Lithium also passes freely from maternal plasma into breast milk. Numerous kinetic interactions have been described for lithium, usually involving a decrease in the drug's clearance and therefore increasing its potential toxicity. Clinical pharmacology studies performed in healthy volunteers have investigated a possible effect of lithium on cognitive functions. Most of these studies reported a slight, negative effect on vigilance, alertness, learning and short-term memory after long-term administration only. Because of the narrow therapeutic range of lithium, therapeutic monitoring is the basis for optimal use and administration of this drug. Lithium dosages should be adjusted on the basis of the serum concentration drawn (optimally) 12 hours after the last dose. In patients receiving once-daily administration, the serum concentration at 24 hours should serve as the control value. The efficacy of lithium is clearly dose-dependent and reliably correlates with serum concentrations. It is now generally accepted that concentrations should be maintained between 0.6 and 0.8 mmol/L, although some authors still favour 0.8-1.2 mmol/L. With sustained-release preparations, and because of the later peak of serum lithium concentration, it is advised to keep serum concentrations within the upper range (0.8-1 mmol/L), rather than 0.6-0.8 mmol/L for standard formulations. It is controversial whether a reduced concentration is required in elderly people. The usual maintenance daily dose is 25-35 mmol (lithium carbonate 925-1300 mg) for patients aged <40 years; 20-25 mmol (740-925 mg) for those aged 40-60 years; and 15-20 mmol (550-740 mg) for patients aged >60 years. The initial recommended dose is usually 12-24 mmol (450-900 mg) per day, depending on age and bodyweight. The classical administration schedule is two or three times daily, although there is no strong evidence in favour of a three-times-daily schedule, and compliance with the midday dose is questionable. With a modern sustained-release preparation, the twice-daily schedule is well established, although one single evening dose is being recommended by a number of expert panels.

Review of lithium effects on brain and blood

Clinicians have long used lithium to treat manic depression. They have also observed that lithium causes granulocytosis and lymphopenia while it enhances immunological activities of monocytes and lymphocytes. In fact, clinicians have long used lithium to treat granulocytopenia resulting from radiation and chemotherapy, to boost immunoglobulins after vaccination, and to enhance natural killer activity. Recent studies revealed a mechanism that ties together these disparate effects of lithium. Lithium acts through multiple pathways to inhibit glycogen synthetase kinase-3beta (GSK3 beta). This enzyme phosphorylates and inhibits nuclear factors that turn on cell growth and protection programs, including the nuclear factor of activated T cells (NFAT) and WNT/beta-catenin. In animals, lithium upregulates neurotrophins, including brain-derived neurotrophic factor (BDNF), nerve growth factor, neurotrophin-3 (NT3), as well as receptors to these growth factors in brain. Lithium also stimulates proliferation of stem cells, including bone marrow and neural stem cells in the subventricular zone, striatum, and forebrain. The stimulation of endogenous neural stem cells may explain why lithium increases brain cell density and volume in patients with bipolar disorders. Lithium also increases brain concentrations of the neuronal markers n-acetyl-aspartate and myoinositol. Lithium also remarkably protects neurons against glutamate, seizures, and apoptosis due to a wide variety of neurotoxins. The effective dose range for lithium is 0.6-1.0 mM in serum and >1.5 mM may be toxic. Serum lithium levels of 1.5-2.0 mM may have mild and reversible toxic effects on kidney, liver, heart, and glands. Serum levels of >2 mM may be associated with neurological symptoms, including cerebellar dysfunction. Prolonged lithium intoxication >2 mM can cause permanent brain damage. Lithium has low mutagenic and carcinogenic risk. Lithium is still the most effective therapy for depression. It "cures" a third of the patients with manic depression, improves the lives of about a third, and is ineffective in about a third. Recent studies suggest that some anticonvulsants (i.e., valproate, carbamapazine, and lamotrigene) may be useful in patients that do not respond to lithium. Lithium has been reported to be beneficial in animal models of brain injury, stroke, Alzheimer's, Huntington's, and Parkinson's diseases, amyotrophic lateral sclerosis (ALS), spinal cord injury, and other conditions. Clinical trials assessing the effects of lithium are under way. A recent clinical trial suggests that lithium stops the progression of ALS.

Pharmacogenomics in Psychiatry

Pharmacogenomics may provide us with the means to expedite treatment for patients with various psychiatric disorders. Treatment is presently hampered by individual variation in medication response that often results in an extended trial-and-error process of treatment until the optimal medication is found. This can extend the time until treatment optimization to months or years. Much of this variation may be genetically based. This review discusses current pharmacogenomics research in mood disorders and in schizophrenia. Although the field is in an early stage, results already suggest that DNA tests will one day be of clinical value in the optimal selection of medications for mood and thought disorders.

Modeling sequence-sequence interactions for drug response

MOTIVATION

Genetic interactions or epistasis may play an important role in the genetic etiology of drug response. With the availability of large-scale, high-density single nucleotide polymorphism markers, a great challenge is how to associate haplotype structures and complex drug response through its underlying pharmacodynamic mechanisms.

RESULTS

We have derived a general statistical model for detecting an interactive network of DNA sequence variants that encode pharmacodynamic processes based on the haplotype map constructed by single nucleotide polymorphisms. The model was validated by a pharmacogenetic study for two predominant beta-adrenergic receptor (betaAR) subtypes expressed in the heart, beta1AR and beta2AR. Haplotypes from these two receptors trigger significant interaction effects on the response of heart rate to different dose levels of dobutamine. This model will have implications for pharmacogenetic and pharmacogenomic research and drug discovery.

AVAILABILITY

A computer program written in Matlab can be downloaded from the webpage of statistical genetics group at the University of Florida.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Association study of the INPP1, 5HTT, BDNF, AP-2beta and GSK-3beta GENE variants and restrospectively scored response to lithium prophylaxis in bipolar disorder

In the present study we investigated the influence of a series variants in genes (the serotonin transporter, glycogen synthase kinase-3beta, inositol polyphosphatase 1-phosphate, brain-derived neurotrophic factor and activator protein 2beta) related to the action of lithium carbonate, a drug used for prophylaxis in mood disorders. We used a sample of unrelated patients with bipolar disorder type I on lithium therapy for at least 2 years who met the proposed response criteria for prophylactic response. Of the 134 patients, 61 patients were considered full responders, 49 non-responders and 24 partial responders. No significant differences were observed for the genotype or allele frequencies for good, partial and poor responders for the five gene variants: for BDNF G196A (genotype: chi2 = 3.67, 4 d.f., p = 0.45; allele: chi2 = 2.31, 2 d.f., p = 0.31); for INPP1 C973A (genotype: chi2 = 1.35, 4 d.f., p = 0.85; allele: chi2 = 0.04, 2 d.f., p = 0.98); for AP-2beta [CAAA](4/5) (genotype: chi2 = 3.18; 4 d.f., p = 0.52; allele: chi2 = 0.92, 2 d.f., p = 0.063); for 5HTTLPR (genotype: chi2 = 0.67, 4 d.f., p = 0.96; allele: chi2 = 0.27, 2 d.f., p = 0.87); for GSK-3beta A-1727T (genotype: chi2 = 3.55, 4 d.f., p = 0.47; allele: chi2 = 0.48, 2 d.f., p = 0.78). These investigated variants are not predictive factors for lithium prophylactic response in our sample of bipolar disorder type I patients. However, it is still possible that a subgroup of a diverse ethnic ancestry may be predisposing to some of those variants for lithium response.

The serotonin transporter promoter polymorphism and suicide

Serotonergic dysfunction has been implicated in mood disorders and in the pathophysiology of suicidality. A functional polymorphism (a 44-base pair insertion (L)/deletion (S)) in the promoter of the gene encoding the serotonin transporter (5-HTTLPR), associated with mood disorders, has been inconsistently associated with suicidality. To add to this debate, we designed a case-control study involving 62 suicide victims and 72 controls matched for age, gender and ethnicity. All subjects underwent forensic investigation. No association could be detected between the 5-HTTLPR polymorphism and suicide. This result is consistent with the proposal that different genes are involved in hopelessness and suicidal behavior or in depressive illness.

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.

Long-term response to lithium salts in bipolar illness is influenced by the glycogen synthase kinase 3-beta -50 T/C SNP

The molecular mechanisms driving the biological clock in the suprachiasmatic nucleus of the hypothalamus may play a role in mood disorders. A single nucleotide polymorphism (SNP) (-50 T/C) falling into the effective promoter region (nt -171 to +29) of the gene coding for glycogen synthase kinase 3-beta (GSK3-beta) has been linked with different age at onset of bipolar illness and with different antidepressant effects of total sleep deprivation. GSK3-beta codes for an enzyme which is a target for the action of lithium and possibly of valproic acid. We studied the effect of this polymorphism on the therapeutic response to lithium salts of 88 bipolar type I patients. Data about recurrence rate of mood episodes were collected for at least 2 years before lithium and 2 years on lithium. Results showed that homozygotes for the wild variant did not change their recurrence index while carriers of the mutant allele improved, thus supporting the hypothesis that GSK is a target for the therapeutic action of lithium. Results warrant interest for the variants of genes pertaining to the molecular clock as possible endophenotypes of bipolar disorder, but caution ought to be taken in interpreting these preliminary results and future replication studies must be awaited because of the low frequency of the GSK3-beta*C/C genotype in the studied populations.

Neural network analysis in pharmacogenetics of mood disorders

Background

The increasing number of available genotypes for genetic studies in humans requires more advanced techniques of analysis. We previously reported significant univariate associations between gene polymorphisms and antidepressant response in mood disorders. However the combined analysis of multiple gene polymorphisms and clinical variables requires the use of non linear methods.

Methods

In the present study we tested a neural network strategy for a combined analysis of two gene polymorphisms. A Multi Layer Perceptron model showed the best performance and was therefore selected over the other networks. One hundred and twenty one depressed inpatients treated with fluvoxamine in the context of previously reported pharmacogenetic studies were included. The polymorphism in the transcriptional control region upstream of the 5HTT coding sequence (SERTPR) and in the Tryptophan Hydroxylase (TPH) gene were analysed simultaneously.

Results

A multi layer perceptron network composed by 1 hidden layer with 7 nodes was chosen. 77.5 % of responders and 51.2% of non responders were correctly classified (ROC area = 0.731 – empirical p value = 0.0082). Finally, we performed a comparison with traditional techniques. A discriminant function analysis correctly classified 34.1 % of responders and 68.1 % of non responders (F = 8.16 p = 0.0005).

Conclusions

Overall, our findings suggest that neural networks may be a valid technique for the analysis of gene polymorphisms in pharmacogenetic studies. The complex interactions modelled through NN may be eventually applied at the clinical level for the individualized therapy.

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.