Treatment outcomes of depression: the pharmacogenomic research network antidepressant medication pharmacogenomic study.

BACKGROUND: The effectiveness of selective serotonin reuptake inhibitors (SSRIs) in patients with major depressive disorder (MDD) is controversial. AIMS: The clinical outcomes of subjects with nonpsychotic MDD were reported and compared with the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study outcomes to provide guidance on the effectiveness of SSRIs. METHODS: Subjects were treated with citalopram/escitalopram for up to 8 weeks. Depression was measured using the Quick Inventory of Depressive Symptomatology-Clinician Rated (QIDS-C16) and the 17-item Hamilton Depression Rating Scale. RESULTS: The group of subjects with at least 1 follow-up visit had a remission (QIDS-C16 ≤ 5) rate of 45.8% as well as a response (50% reduction in QIDS-C16) rate of 64.8%, and 79.9% achieved an improvement of 5 points or higher in QIDS-C16 score. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study subjects were more likely to achieve a response than STAR*D study subjects. After adjustment for demographic factors, the response rates were not significantly different. When reporting the adverse effect burden, 60.5% of the subjects reported no impairment, 31.7% reported a minimal-to-mild impairment, and 7.8% reported a moderate-to-severe burden at the 4-week visit. CONCLUSIONS: Patients contemplating initiating an SSRI to treat their MDD can anticipate a high probability of symptom improvement (79.9%) with a low probability that their symptoms will become worse. Patients with lower baseline severity have a higher probability of achieving remission. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study replicates many findings of the first phase of the STAR*D study after controlling for the differences between the studies.

SLC6A4 polymorphisms and age of onset in late-life depression on treatment outcomes with citalopram: a Sequenced Treatment Alternatives to Relieve Depression (STAR*D) report.

OBJECTIVE: Age at onset of first major depressive episode (MDE) does not necessarily translate into different treatment outcomes to antidepressants in late-life depression. The influence of genetic variants may affect this relationship. DESIGN: Post hoc data set analysis of the association between variants in the promoter region (indel, rs25531) and within intron 2 (Stin2 VNTR) of the SCL6A4 gene and treatment outcomes among older participants in the first treatment arm of the Sequenced Treatment Alternatives to Relieve Depression trial (STAR*D). SETTING: Participants were enrolled from 23 psychiatric and 18 primary care settings. PARTICIPANTS: Two hundred twenty-one, white non-Hispanic subjects, aged 60 to 75 years, with 16-item Quick Inventory of Depressive Symptomatology-Clinician Rating (QIDS-CR16) initial score ≥10, and who remained in the study for at least 6 weeks, were genotyped. INTERVENTION: Citalopram treatment for up to 14 weeks. MEASUREMENTS: Main outcome was remission rate defined as a score of ≤5 on the QIDS-CR16. Response was a secondary outcome defined as a reduction of ≥50% of baseline QIDS-CR16. RESULTS: Polymorphism in the indel promoter region was associated with remission among subjects whose first lifetime episode of major depression occurred later than age 55. In this group, subjects with L/L genotype had significantly higher remission (80% versus 43%) compared to those subjects with any other indel promoter genotype. Multivariate analysis demonstrated that the genetic effect of the indel promoter region on remission increases along with age at onset of MDE. CONCLUSIONS: Variants in the indel promoter region of the SLC6A4 gene have a more robust effect to antidepressant outcome among older subjects who experienced their first MDE at a later age. The mechanism of action of these variants remains to be determined.

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.

Association of GATA4 sequence variation with alcohol dependence.

To further explore reports of association of alcohol dependence and response to acamprosate treatment with the GATA4 rs13273672 single nucleotide polymorphism (SNP), we genotyped this and 10 other GATA4 SNPs in 816 alcohol-dependent cases and 1248 controls. We tested for association of alcohol dependence with the 11 SNPs individually and performed a global test for association using a principle components analysis. Our analyses demonstrate significant association between GATA4 and alcohol dependence at the gene level (P = 0.009) but no association with rs13273672. Further studies are needed to identify potential causal GATA4 variation(s) and the functional mechanism(s) contributing to this association.

FKBP5 genetic variation: association with selective serotonin reuptake inhibitor treatment outcomes in major depressive disorder.

OBJECTIVES: FKBP51 (51 kDa immunophilin) acts as a modulator of the glucocorticoid receptor and a negative regulator of the Akt pathway. Genetic variation in FKBP5 plays a role in antidepressant response. The aim of this study was to comprehensively assess the role of genetic variation in FKBP5, identified by both Sanger and Next Generation DNA resequencing, as well as genome-wide single nucleotide polymorphisms (SNPs) associated with FKBP5 expression in the response to the selective serotonin reuptake inhibitor (SSRI) treatment of major depressive disorder. METHODS: We identified 657 SNPs in FKBP5 by Next Generation sequencing of 96 DNA samples from white patients, and 149 SNPs were selected for the genotyping together with 235 SNPs that were trans-associated with variation in FKBP5 expression in lymphoblastoid cells. A total of 529 DNA samples from the Mayo Clinic PGRN-SSRI Pharmacogenomic trial for which genome-wide SNPs had already been obtained were genotyped for these 384 SNPs, and associations with treatment outcomes were determined. The most significant SNPs were genotyped using 96 DNA samples from white non-Hispanic patients of the NIMH-supported Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study to attempt replication, followed by functional genomic studies. RESULTS: Genotype-phenotype association analysis indicated that rs352428 was associated with both 8-week treatment response in the Mayo study (odds ratio=0.49; P=0.003) and 6-week response in the STAR*D replication study (odds ratio=0.74; P=0.05). The electrophoresis mobility shift assay and the reporter gene assay confirmed the possible role of this SNP in transcription regulation. CONCLUSION: This comprehensive FKBP5 sequence study provides insight into the role of common genetic polymorphisms that might influence SSRI treatment outcomes in major depressive disorder patients.

Utility of integrated pharmacogenomic testing to support the treatment of major depressive disorder in a psychiatric outpatient setting.

OBJECTIVE: The objective was to evaluate the potential benefit of an integrated, five-gene pharmacogenomic test and interpretive report (GeneSight) for the management of psychotropic medications used to treat major depression in an outpatient psychiatric practice. METHODS: The open-label study was divided into two groups. In the first (unguided) group (n = 113), pharmacogenomic information was not shared until all participants completed the study. In the second (guided) group (n = 114), the pharmacogenomic report was provided to physicians for clinical use. Three depression ratings, the 17-item Hamilton Rating Scale for Depression (HAMD-17), the Quick Inventory of Depressive Symptomatology - Clinician Rated (QIDS-C16), and the Patient Health Questionnaire (PHQ-9), were collected at baseline, and at 2, 4, and 8 weeks. RESULTS: The guided group experienced greater percent improvement in depression scores from baseline on all three depression instruments (HAMD-17, P < 0.0001; QIDS-C16, P < 0.0001; PHQ-9, P < 0.0001) compared with the unguided group. Eight-week response rates were higher in the guided group than in the unguided group on all three measurements (HAMD-17, P = 0.03; QIDS-C16, P = 0.005; PHQ-9, P = 0.01). Eight-week QIDS-C16 remission rates were higher in the guided group (P = 0.03). Participants in the unguided group who at baseline were prescribed a medication that was most discordant with their genotype experienced the least improvement compared with other unguided participants (HAMD-17, P = 0.007). Participants in the guided group and on a baseline medication most discordant with their genotype showed the greatest improvement compared with the unguided cohort participants (HAMD-17, P = 0.01). CONCLUSION: These findings replicate previous studies and demonstrate significantly improved depression outcomes with use of GeneSight, an integrated, multigenetic pharmacogenomic testing platform.

Association of the PDYN gene with alcohol dependence and the propensity to drink in negative emotional states.

Synthetic κ-opioid receptor (KOR) agonists induce dysphoric and pro-depressive effects and variations in the KOR (OPRK1) and prodynorphin (PDYN) genes have been shown to be associated with alcohol dependence. We genotyped 23 single nucleotide polymorphisms (SNPs) in the PDYN and OPRK1 genes in 816 alcohol-dependent subjects and investigated their association with: (1) negative craving measured by a subscale of the Inventory of Drug Taking Situations; (2) a self-reported history of depression; (3) the intensity of depressive symptoms measured by the Beck Depression Inventory-II. In addition, 13 of the 23 PDYN and OPRK1 SNPs, which were previously genotyped in a set of 1248 controls, were used to evaluate association with alcohol dependence. SNP and haplotype tests of association were performed. Analysis of a haplotype spanning the PDYN gene (rs6045784, rs910080, rs2235751, rs2281285) revealed significant association with alcohol dependence (p = 0.00079) and with negative craving (p = 0.0499). A candidate haplotype containing the PDYN rs2281285-rs1997794 SNPs that was previously associated with alcohol dependence was also associated with negative craving (p = 0.024) and alcohol dependence (p = 0.0008) in this study. A trend for association between depression severity and PDYN variation was detected. No associations of OPRK1 gene variation with alcohol dependence or other studied phenotypes were found. These findings support the hypothesis that sequence variation in the PDYN gene contributes to both alcohol dependence and the induction of negative craving in alcohol-dependent subjects.

A retrospective study of gender differences in depressive symptoms and risk of relapse in patients with alcohol dependence.

BACKGROUND AND OBJECTIVES: The aim of this study was to investigate potential gender differences in situations associated with heavy alcohol drinking. METHODS: Data from 395 alcohol dependent patients participating in the Mayo Clinic Intensive Addiction Program were evaluated. Each participant completed the inventory of drug taking situations (IDTS), Penn alcohol craving scale (PACS), patient health questionnaire (PHQ-9), and/or Beck depression inventory (BDI). Gender differences in IDTS scores representing three domains (negative, positive, and temptation) of situations associated with heavy alcohol use were examined. RESULTS: Women with alcohol dependence report a higher frequency of heavy drinking in unpleasant emotional (IDTS negative scores mean ± SD women vs. men: 52.3 ± 22.1 vs. 43.8 ± 21.8; p = .0006), and as a result of temptation (IDTS temptation scores mean ± SD women vs. men: 40.4 ± 23.0 vs. 35.3 ± 20.8; p = .035). Upon admission, women also scored significantly higher on depressive symptoms as measured by the BDI (23.4 ± 11.4 vs. 18.2 ± 9.8, p < .001). After controlling for depressive symptom severity as a covariate, the IDTS gender differences were no longer significant. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: Our results suggest that unpleasant or temptation based emotional situations are a vulnerability risk factor for heavy drinking particularly in females. This risk appears to be at least partially driven by depressive symptom burden. Future research is needed to further investigate this finding.

Prospectively assessed early life experiences in relation to cortisol reactivity in adolescents at risk for asthma.

Altered cortisol reactivity in individuals with asthma likely increases the risk of inflammation in the face of stress. Understanding antecedents of cortisol reactivity enhances knowledge of factors affecting asthma. Forty-eight subjects genetically predisposed for asthma, recruited from a study that assessed them from birth, completed a laboratory stress procedure and self-report measures at ages 17-19 years. Observation and parent reports from age 0 to 2 years were used to create a parent child relationship risk variable and to define criteria for a cumulative risk variable. In repeated measures analysis of 46 adolescents, those who had experienced early parent child relationship problems, specifically insecure attachment, had an attenuated cortisol stress response, even after controlling for concurrent psychological function and recent stressors (F = 4.6, p < .005). Cortisol stress response was not related to asthma status. This study supports a relationship between the parent child relationship during the first 2 years of life and later cortisol response to stress in youth at genetic risk for asthma.

Merging pharmacometabolomics with pharmacogenomics using '1000 Genomes' single-nucleotide polymorphism imputation: selective serotonin reuptake inhibitor response pharmacogenomics.

OBJECTIVE: We set out to test the hypothesis that pharmacometabolomic data could be efficiently merged with pharmacogenomic data by single-nucleotide polymorphism (SNP) imputation of metabolomic-derived pathway data on a 'scaffolding' of genome-wide association (GWAS) SNP data to broaden and accelerate 'pharmacometabolomics-informed pharmacogenomic' studies by eliminating the need for initial genotyping and by making broader SNP association testing possible. METHODS: We previously genotyped 131 tag SNPs for six genes encoding enzymes in the glycine synthesis and degradation pathway using DNA from 529 depressed patients treated with citalopram/escitalopram to pursue a glycine metabolomics 'signal' associated with selective serotonine reuptake inhibitor response. We identified a significant SNP in the glycine dehydrogenase gene. Subsequently, GWAS SNP data were generated for the same patients. In this study, we compared SNP imputation within 200 kb of these same six genes with the results of the previous tag SNP strategy as a rapid strategy for merging pharmacometabolomic and pharmacogenomic data. RESULTS: Imputed genotype data provided greater coverage and higher resolution than did tag SNP genotyping, with a higher average genotype concordance between genotyped and imputed SNP data for '1000 Genomes' (96.4%) than HapMap 2 (93.2%) imputation. Many low P-value SNPs with novel locations within genes were observed for imputed compared with tag SNPs, thus altering the focus for subsequent functional genomic studies. CONCLUSION: These results indicate that the use of GWAS data to impute SNPs for genes in pathways identified by other 'omics' approaches makes it possible to rapidly and cost efficiently identify SNP markers to 'broaden' and accelerate pharmacogenomic studies.

Genetic variability in the NMDA-dependent AMPA trafficking cascade is associated with alcohol dependence.

Model studies in mice indicate that the severity of alcohol withdrawal is associated with polymorphic variation and expression of the MPDZ gene. Current knowledge about variation in the human MPDZ gene is limited; however, our data indicate its potential association with alcohol dependence. The multi-PDZ protein is an important part of the N-methyl-D-aspartate (NMDA)-dependent α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptor trafficking cascade that controls glutamate-related excitatory neurotransmission. To investigate association of variation in the NMDA-dependent AMPA trafficking cascade with alcohol dependence, we performed a gene-set (pathway) analysis using single nucleotide polymorphism (SNP) data from the Study of Addiction: Genetic and Environment. Rather than testing for association with each SNP individually, which typically has low power to detect small effects of multiple SNPs, gene-set analysis applies a single statistical test to evaluate whether variation in a set of genes is associated with the phenotype of interest. Gene-set analysis of 988 SNPs in 13 genes in the pathway demonstrated a significant association with alcohol dependence, with P < 0.01 for the global effect of variation in this pathway. The statistically significant association of alcohol dependence with genetic variation in the NMDA-dependent AMPA receptor trafficking cascade indicates a need for further investigation of the role of this pathway in alcohol dependence.

Alcohol craving as a predictor of relapse.

BACKGROUND AND OBJECTIVES: Alcoholism treatment interventions, both psychosocial and pharmacologic, aim to reduce cravings to drink. Yet, the role of craving in treatment outcomes remains unclear. This study evaluated craving intensity measured with the Penn Alcohol Craving Scale (PACS) at admission and discharge from residential treatment as a predictive factor of relapse after treatment. METHODS: The study cohort included 314 alcohol-dependent subjects. Associations between relapse after discharge, PACS score, and clinical variables were investigated using time-to-event analyses. The primary analysis, based on the intent-to-treat principle, presumed relapse in those declining follow-up or not responding to contact attempts. Secondary analysis utilized data from 226 subjects successfully contacted after discharge with a median follow-up time of 365 days. RESULTS: The intent-to-treat analysis demonstrated that relapse was associated with higher level of craving at admission (p= .002) and discharge (p < .001). The analysis of data from patients successfully contacted after discharge led to similar results. A multivariable analysis indicated that relapse rates increased as PACS scores increased, and a higher discharge PACS score was significantly associated with relapse (p= .006) even after adjusting for covariates. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This study demonstrates that higher PACS scores at the time of admission and discharge are associated with relapse following residential addiction treatment. These data support the role of craving in relapse and the utility of craving measurement as a clinical guide in assessing relapse risk.

CYP2C19 variation and citalopram response.

OBJECTIVE: Variations in cytochrome P450 (CYP) genes have been shown to be associated with both accelerated and delayed pharmacokinetic clearance of many psychotropic medications. Citalopram is metabolized by three CYP enzymes. CYP2C19 and CYP3A4 play a primary role in citalopram metabolism, whereas CYP2D6 plays a secondary role. METHODS: The Sequenced Treatment Alternatives to Relieve Depression sample was used to examine the relationship between variations in the CYP2C19 and CYP2D6 genes and remission of depressive symptoms and tolerance to treatment with citalopram. The primary analyses were of the White non-Hispanic patients adherent to the study protocol (n= 1074). RESULTS: Generally, patients who had CYP2C19 genotypes associated with decreased metabolism were less likely to tolerate citalopram than those with increased metabolism, although this difference was not statistically significant (P = 0.06). However, patients with the inactive 2C19*2 allele had significantly lower odds of tolerance (P = 0.02). Patients with the poor metabolism CYP2C19 genotype-based category who were classified as citalopram tolerant were more likely to experience remission (P = 0.03). No relationship between CYP2D6 genotype-based categories and either remission or tolerance was identified, although exploratory analyses identified a potential interaction between CYP2C19 and CYP2D6 effects. CONCLUSION: Despite several limitations including the lack of serum drug levels, this study showed that variations in CYP2C19 were associated with tolerance and remission in a large sample of White non-Hispanic patients treated with citalopram.

Changes in heart rate variability associated with acute alcohol consumption: current knowledge and implications for practice and research.

Alcohol consumption is associated with a broad array of physiologic and behavioral effects including changes in heart rate. However, the physiologic mechanisms of alcohol effects and the reasons for individual differences in the cardiac response remain unknown. Measuring changes in resting heart rate (measured as beats/min) has not been found to be as sensitive to alcohol's effects as changes in heart rate variability (HRV). HRV is defined as fluctuations in interbeat interval length which reflect the heart's response to extracardiac factors that affect heart rate. HRV allows simultaneous assessment of both sympathetic and parasympathetic activity and the interplay between them. Increased HRV has been associated with exercise and aerobic fitness, while decreased HRV has been associated with aging, chronic stress, and a wide variety of medical and psychiatric disorders. Decreased HRV has predictive value for mortality in general population samples and patients with myocardial infarction and used as an indicator of altered autonomic function. A significant inverse correlation was found between HRV and both the severity of depression and the duration of the depressive episode. HRV analysis provides insights into mechanisms of autonomic regulation and is extensively used to clarify relationships between depression and cardiovascular disease. This article will review the methodology of HRV measurements and contemporary knowledge about effects of acute alcohol consumption on HRV. Potential implications of this research include HRV response to alcohol that could serve as a marker for susceptibility to alcoholism. At present however there is almost no research data supporting this hypothesis.

A new interaction between SLC6A4 variation and child abuse is associated with resting heart rate.

BACKGROUND: The short form of the indel promoter polymorphism (5HTTLPR) of the serotonin transporter gene (SLC6A4) and a history of child abuse have been reported to be associated with an increased risk for the development of depression. A child abuse history has also been associated with more rapid heart rate reactions. METHODS: A retrospective chart review identified 282 patients with major depression who had been hospitalized and genotyped for the 5HTTLPR polymorphism. A subgroup of 185 females of European ancestry was also identified and analyzed. While hospitalized, heart rate was measured. Child abuse history was documented during the diagnostic evaluation. Analyses of the relationship between 5HTTLPR genotype, history of child abuse, and admission heart rate were conducted. RESULTS: No main effect on heart rate from the 5HTTLPR genotype or a child abuse history was demonstrated for the entire sample or the subgroup of female patients. However, a genotype-by-abuse interaction was associated with resting heart rate on admission to the hospital (P<.05). Depressed patients, who were homozygous for the long allele and who had been abused, had a heart rate on hospital admission, which was statistically higher than patients with the same genotype but who had not been abused. These findings were consistent both for the 282 patients (7.2 bpm higher) as well as for the subgroup of 185 female patients of European ancestry (9.6 bpm higher). CONCLUSIONS: A 5HTTLPR genotype interaction of elevated heart rate with a history of child abuse was demonstrated in depressed psychiatric inpatients.

Relationship between FKBP5 polymorphisms and depression symptoms among kidney transplant recipients.

BACKGROUND: Several polymorphisms in FK506 Binding Protein gene (FKBP5) and a history of child abuse have been shown to be associated with an increased risk for posttraumatic stress disorder (PTSD). It has also been demonstrated that the same polymorphisms of FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment. However, there are only limited numbers of studies replicating the polymorphisms as vulnerability factors for the development of mental illnesses, such as PTSD and depression after stressful life event, especially with a specific incidence, such as kidney transplant surgery. METHODS: A retrospective analysis was conducted using the electronic medical records of 131 adult kidney transplant recipients. Depression severity after kidney transplantation was measured by PHQ-9, and stored blood was genotyped for variants in the Serotonin Transporter (SLC6A4), Brain-Derived Neurotrophic Factor, Catecholamine-O-Methyltransferase, Corticotropin-Releasing Hormone Receptor, and FKBP5 genes. Spearman correlations were used to test for association between genetic variants and depression severity. RESULTS: The rare alleles at three out of four SNPs in FKBP5 (rs1360780, rs9296158, and rs9470080) were associated with increased PHQ-9 scores (P<.05), whereas the last FKBP5 SNP (rs3800373) showed a trend of association (P<.10). All four FKBP5 SNPs are in strong linkage disequilibrium. Although in a subgroup of Caucasian non-Hispanic subjects the association was not statistically significant, the direction of association was consistent with that observed in the entire sample as well as in previous studies. Polymorphisms in genes other than FKBP5 were not associated with PHQ-9 scores. CONCLUSIONS: Polymorphisms in FKBP5 may be associated with higher depression scores in kidney transplant recipients.

Effect of cytochrome P450 enzyme polymorphisms on pharmacokinetics of venlafaxine.

This study examines the relationship between blood concentrations of venlafaxine and its active metabolite, O-desmethyl venlafaxine (ODV), and genetic variants of the cytochrome P450 enzymes CYP2D6 and CYP2C19 in human subjects. Trough blood concentrations were measured at steady state in patients treated with venlafaxine extended release in a clinical practice setting. CYP2D6 and CYP2C19 genotypes were converted to activity scores based on known activity levels of the two alleles comprising a genotype. After adjusting for drug dose and gender effects, higher CYP2D6 and CYP2C19 activity scores were significantly associated with lower venlafaxine concentrations (P < 0.001 for each). Only CYP2D6 was associated with the concentration of ODV (P < 0.001), in which genotypes with more active alleles were associated with higher ODV concentrations. The sum of venlafaxine plus ODV concentration showed the same pattern as venlafaxine concentrations with CYP2D6 and CYP2C19 genotypes with higher activity scores being associated with a lower venlafaxine plus ODV concentration (2D6 P = 0.01; 2C19 P < 0.001). Because allelic variants in both CYP2D6 and CYP2C19 influence the total concentration of the active compounds venlafaxine and ODV, both CYP2D6 and CYP2C19 genotypes should be considered when using pharmacogenomic information for venlafaxine dose alterations.

Utilization of residential alcoholism treatment in bipolar disorder.

Despite the high prevalence rate of comorbid alcohol dependence and bipolar disorder, little is known about how many bipolar patients are actively engaged in addiction treatment or the alcohol consumption characteristics of this group. This retrospective study reviewed the medical records from patients with alcohol dependence admitted to residential treatment at our institution (n = 588). The analyses focused on alcoholism severity measures and discharge clinical diagnoses. Patients with alcoholism + bipolar disorder compromised only 5% of the total study group. The number of drinking years was lower for patients with alcoholism + bipolar disorder (23.1 ± 17.7) than for those with alcoholism + depression (26.8 ± 13.9) or alcoholism alone (28.1 ± 13.2). A trend of higher mean lifetime maximum daily drinks was observed for patients with alcoholism + bipolar disorder; this was because of the significantly higher maximum drinks for women with bipolar disorder (21.0 ± 11.5) than for women in other diagnostic groups. Despite high rates of comorbidity in community-based studies, this retrospective study suggests that patients with bipolar disorder are not highly represented in residential alcoholism addiction treatment. Future studies are encouraged to better understand utilization rates of addiction treatment among patients with bipolar disorder and to identify clinical correlates that predispose bipolar women to high-dose drinking.

Recent trends in american board of psychiatry and neurology psychiatric subspecialties.

OBJECTIVE: this article reviews the current status and recent trends in the American Board of Psychiatry and Neurology (ABPN) psychiatric subspecialties and discusses the implications of those trends as well as several key questions whose answers may well determine subspecialty viability. METHODS: data are presented on specialty and subspecialty programs; graduates; and ABPN certification candidates and diplomates drawn from several sources, including the records of the ABPN, the websites of the Accreditation Council for Graduate Medical Education and the American Medical Association, and the annual medical education issues of JAMA. RESULTS: fewer than half of psychiatry graduates pursue subspecialty training. While most recent specialty graduates attempt to become certified by the ABPN, many subspecialists elect not to do so. There have been recent decreases in the number of fellowship programs and trainees in geriatric psychiatry and addiction psychiatry. The pass rates for fellowship graduates are superior to those for the "grandfathers" in all of the newer psychiatric subspecialties. Lower percentages of subspecialists than specialists participate in maintenance of certification, and maintenance of certification pass rates are high. CONCLUSION: the initial interest in training and certification in some of the ABPN subspecialties appears to have slowed, and the long-term viability of those subspecialties may well depend on the answers to a number of complicated social, economic, and political questions in the new health care era.

Interaction of SLC6A4 and DRD2 polymorphisms is associated with a history of delirium tremens.

Several genetic polymorphisms have been reported to be associated with alcohol withdrawal seizures (AWS) and delirium tremens (DT). To replicate and further explore these findings, we investigated the effects of 12 previously reported candidate genetic variations in two groups of alcohol-dependent European Americans with a history of withdrawal, which differed according to the presence (n = 112) or absence (n = 92) of AWS and/or DT. Associations of AWS and/or DT with the genomic and clinical characteristics and gene-gene interaction effects were investigated using logistic regression models. None of the polymorphisms were significantly associated with AWS/DT after correction for multiple testing. However, we found a significant interaction effect of the SLC6A4 promoter polymorphism (5-HTTLPR) and DRD2 exon 8 single nucleotide polymorphism rs6276 on AWS and/or DT history (P = 0.009), which became more significant after adjustment for lifetime maximum number of drinks consumed per 24 hours (P < 0.001). Subsequent analysis revealed an even stronger association of the SLC6A4-DRD2 interaction with DT (P < 0.0001), which remained significant after Bonferroni correction. Results reveal decreased likelihood of DT in alcoholics that carry the DRD2 rs6276 G allele and SLC6A4 LL genotype. This study provides the first evidence to implicate the interaction between serotonin and dopamine neurotransmission in the etiology of DT. Replication is necessary to verify this potentially important finding.