Lower doses of carvedilol in Japanese heart failure patients with reduced ejection fraction could show the potential to be non-inferior to higher doses in US patients: An international collaborative observational study.

The Japanese national guidelines recommend significantly lower doses of carvedilol for heart failure with reduced ejection fraction (HFrEF) management than the US guidelines. Using real-world data, we determined whether initial and target doses of carvedilol in Japanese patients (JPNs) differ from those in US patients (USPs), especially in Asian Americans (ASA) and Caucasians (CA), and investigated differences in outcomes. We collected data from the electronic medical records, including demographics, carvedilol dosing, tolerability, cardiac functional indicators like EF, cardiovascular events including all-cause deaths, and laboratory values from the University of California, San Diego Health and Osaka University. JPNs had significantly lower doses (mg/day) of carvedilol initiation (66 USPs composed of 38 CAs and 28 ASAs, 17.1±16.2; 93 JPNs, 4.3±4.2, p<0.001) and one year after initiation (33.0±21.8; 11.2±6.5, p<0.001), and a significantly lower relative rate (RR) of dose discontinuation and reduction than USPs (RR: 0.406, 95% confidence interval (CI): 0.181-0.911, p<0.05). CAs showed the highest reduction rate (0.184), and ASAs had the highest discontinuation rate (0.107). A slight mean difference with narrow 95% CI ranges straddling zero was observed between the two regions in the change from the baseline of each cardiac functional indicator (LVEF, -0.68 [-5.49-4.12]; LVDd, -0.55 [-3.24-2.15]; LVDd index, -0.25 [-1.92-1.43]; LVDs, -0.03 [-3.84-3.90]; LVDs index, -0.04 [-2.38-2.30]; heart rate, 1.62 [-3.07-6.32]). The event-free survival showed no difference (p = 0.172) among the races. Conclusively, despite JPNs exhibiting markedly lower carvedilol doses, their dose effectiveness has the potential to be non-inferior to that in USPs. Dose de-escalation, not discontinuation, could be an option in some Asian and ASA HFrEF patients intolerable to high doses of carvedilol.

Changes in Multiple microRNA Levels with Antidepressant Treatment Are Associated with Remission and Interact with Key Pathways: A Comprehensive microRNA Analysis.

Individual treatment outcomes to antidepressants varies widely, yet the determinants to this difference remain elusive. MicroRNA (miRNA) gene expression regulation in major depressive disorder (MDD) has attracted interest as a biomarker. This 4-week randomized controlled trial examined changes in the plasma miRNAs that correlated with the treatment outcomes of mirtazapine (MIR) and selective serotonin reuptake inhibitor (SSRI) monotherapy. Pre- and post- treatment, we comprehensively analyzed the miRNA levels in MDD patients, and identified the gene pathways linked to these miRNAs in 46 patients. Overall, 141 miRNA levels significantly demonstrated correlations with treatment remission after 4 weeks of MIR, with miR-1237-5p showing the most robust and significant correlation after Bonferroni correction. These 141 miRNAs displayed a negative correlation with remission, indicating a decreasing trend. These miRNAs were associated with 15 pathways, including TGF-ß and MAPK. Through database searches, the genes targeted by these miRNAs with the identified pathways were compared, and it was found that MAPK1, IGF1, IGF1R, and BRAF matched. Alterations in specific miRNAs levels before and after MIR treatment correlated with remission. The miRNAs mentioned in this study have not been previously reported. No other studies have investigated treatment with MIR. The identified miRNAs also correlated with depression-related genes and pathways.

Relationship between circulating mitochondrial DNA and microRNA in patients with major depression.

BACKGROUND: MicroRNAs (miRNAs) and circulating cell-free mitochondrial DNA (ccf-mtDNA) have attracted interest as biological markers of affective disorders. In response to stress, it is known that miRNAs in mitochondria diffuse out of the cytoplasm alongside mtDNA; however, this process has not yet been identified. We hypothesized that miRNAs derived from specific cell nuclei cause mitochondrial damage and mtDNA fragmentation under MDD-associated stress conditions. METHODS: A comprehensive analysis of the plasma miRNA levels and quantification of the plasma ccf-mtDNA copy number were performed in 69 patients with depression to determine correlations and identify genes and pathways interacting with miRNAs. The patients were randomly assigned to receive either selective serotonin reuptake inhibitors (SSRI) or mirtazapine. Their therapeutic efficacy over four weeks was evaluated in relation to miRNAs correlated with ccf-mtDNA copy number. RESULTS: The expression levels of the five miRNAs showed a significant positive correlation with the ccf-mtDNA copy number after correcting for multiple testing. These miRNAs are involved in gene expression related to thyroid hormone synthesis, the Hippo signaling pathway, vasopressin-regulated water reabsorption, and lysine degradation. Of these five miRNAs, miR-6068 and miR-4708-3p were significantly associated with the SSRI and mirtazapine treatment outcomes, respectively. LIMITATIONS: This study did not show comparison with a healthy group. CONCLUSIONS: The expression levels of specific miRNAs were associated with ccf-mtDNA copy number in untreated depressed patients; moreover, these miRNAs were linked to antidepressant treatment outcomes. These findings are expected to lead to the elucidation of new pathological mechanism of depression.

Multiple Pre-Treatment miRNAs Levels in Untreated Major Depressive Disorder Patients Predict Early Response to Antidepressants and Interact with Key Pathways.

Major depressive disorder (MDD) is a life-impairing disorder, and early successful treatment is important for a favorable prognosis. However, early response to antidepressants differs widely among individuals, and is difficult to predict pre-treatment. As miRNAs have been reported to play important roles in depression, identification of miRNAs associated with antidepressant treatment responses and their interacting genes and pathways will be beneficial in understanding the predictors and molecular mechanisms of depression treatment. This randomized control trial examined miRNAs correlated with the early therapeutic effect of selective serotonin reuptake inhibitors (SSRIs; paroxetine or sertraline) and mirtazapine monotherapy. Before medication, we comprehensively analyzed the miRNA expression of 92 depressed participants and identified genes and pathways interacting with miRNAs. A total of 228 miRNAs were significantly correlated with depressive symptoms improvements after 2 weeks of SSRIs treatment, with miR-483.5p showing the most robust correlation. These miRNAs are involved in 21 pathways, including TGF-ß, glutamatergic synapse, long-term depression, and the mitogen-activated protein kinase (MAPK) signaling pathways. Using these miRNAs enabled us to predict SSRI response at week 2 with a 57% difference. This study shows that pre-treatment levels of miRNAs could be used to predict early responses to antidepressant administration, a knowledge of genes, and an identification of genes and pathways associated with the antidepressant response.

Brain Volume-Related Polymorphisms of the Glycogen Synthase Kinase-3ß Gene and Their Effect on Antidepressant Treatment in Major Depressive Disorder.

BACKGROUND: Glycogen synthase kinase-3ß (GSK-3ß) polymorphisms are known to influence hippocampal brain tissue volume in individuals with major depressive disorder (MDD). However, the effects of the GSK-3ß gene single nucleotide polymorphisms (SNPs) in those receiving antidepressant therapy are unknown. OBJECTIVES: In the present study, we examined the relationship between brain volume-related SNPs of the GSK-3ß gene and antidepressant treatment effects in patients with MDD. METHODS: Paroxetine, fluvoxamine, or milnacipran was administered to 143 Japanese patients with MDD. Two SNPs of the GSK-3ß gene (rs6438552 and rs12630592) that influence brain volume in the hippocampus were genotyped. For the primary outcome, the relationship between genetic variations in the SNPs and the percent change in the Hamilton Rating Scale for Depression (HAM-D) score at week 6 was examined. In addition, rs334558, which has been reported repeatedly, was also genotyped. RESULTS: There was a significant correlation between the two SNPs and the percent change in the HAM-D scores at week 6 (rs6438552 A/A vs. A/G + G/G: p = 0.016; rs12630592 G/G vs. G/T + T/T: p = 0.016). There was high linkage disequilibrium between the rs6438552 and rs12630592 SNPs. The correlation between high therapeutic response over time and the two SNPs were also confirmed (rs6438552 A/A vs. others: p = 0.031; rs12630592 G/G vs. others: p = 0.031). CONCLUSIONS: Our results suggest that two GSK-3ß variants that influence brain volume were associated with changes in the HAM-D scores at week 6 in patients with MDD.

Verification of pharmacogenomics-based algorithms to predict warfarin maintenance dose using registered data of Japanese patients.

PURPOSE: Large inter-individual differences in warfarin maintenance dose are mostly due to the effect of genetic polymorphisms in multiple genes, including vitamin K epoxide reductase complex 1 (VKORC1), cytochromes P450 2C9 (CYP2C9), and cytochrome P450 4F2 (CYP4F2). Thus, several algorithms for predicting the warfarin dose based on pharmacogenomics data with clinical characteristics have been proposed. Although these algorithms consider these genetic polymorphisms, the formulas have different coefficient values that are critical in this context. In this study, we assessed the mutual validity among these algorithms by specifically considering racial differences. METHODS: Clinical data including actual warfarin dose (AWD) of 125 Japanese patients from our previous study (Eur J Clin Pharmacol 65(11):1097-1103, 2009) were used as registered data that provided patient characteristics, including age, sex, height, weight, and concomitant medications, as well as the genotypes of CYP2C9 and VKORC1. Genotyping for CYP4F2*3 was performed by the PCR method. Five algorithms that included these factors were selected from peer-reviewed articles. The selection covered four populations, Japanese, Chinese, Caucasian, and African-American, and the International Warfarin Pharmacogenetics Consortium (IWPC). RESULTS: For each algorithm, we calculated individual warfarin doses for 125 subjects and statistically evaluated its performance. The algorithm from the IWPC had the statistically highest correlation with the AWD. Importantly, the calculated warfarin dose (CWD) using the algorithm from African-Americans was less correlated with the AWD as compared to those using the other algorithms. The integration of CYP4F2 data into the algorithm did not improve the prediction accuracy. CONCLUSION: The racial difference is a critical factor for warfarin dose predictions based on pharmacogenomics.

The association of obesity and coronary artery disease genes with response to SSRIs treatment in major depression.

Selective serotonin reuptake inhibitors (SSRIs) are first-line antidepressants for the treatment of major depressive disorder (MDD). However, treatment response during an initial therapeutic trial is often poor and is difficult to predict. Heterogeneity of response to SSRIs in depressed patients is partly driven by co-occurring somatic disorders such as coronary artery disease (CAD) and obesity. CAD and obesity may also be associated with metabolic side effects of SSRIs. In this study, we assessed the association of CAD and obesity with treatment response to SSRIs in patients with MDD using a polygenic score (PGS) approach. Additionally, we performed cross-trait meta-analyses to pinpoint genetic variants underpinnings the relationship of CAD and obesity with SSRIs treatment response. First, PGSs were calculated at different p value thresholds (PT) for obesity and CAD. Next, binary logistic regression was applied to evaluate the association of the PGSs to SSRIs treatment response in a discovery sample (ISPC, N = 865), and in a replication cohort (STAR*D, N = 1,878). Finally, a cross-trait GWAS meta-analysis was performed by combining summary statistics. We show that the PGSs for CAD and obesity were inversely associated with SSRIs treatment response. At the most significant thresholds, the PGS for CAD and body mass index accounted 1.3%, and 0.8% of the observed variability in treatment response to SSRIs, respectively. In the cross-trait meta-analyses, we identified (1) 14 genetic loci (including NEGR1, CADM2, PMAIP1, PARK2) that are associated with both obesity and SSRIs treatment response; (2) five genetic loci (LINC01412, PHACTR1, CDKN2B, ATXN2, KCNE2) with effects on CAD and SSRIs treatment response. Our findings implicate that the genetic variants of CAD and obesity are linked to SSRIs treatment response in MDD. A better SSRIs treatment response might be achieved through a stratified allocation of treatment for MDD patients with a genetic risk for obesity or CAD.

Association of the Polygenic Scores for Personality Traits and Response to Selective Serotonin Reuptake Inhibitors in Patients with Major Depressive Disorder.

Studies reported a strong genetic correlation between the Big Five personality traits and major depressive disorder (MDD). Moreover, personality traits are thought to be associated with response to antidepressants treatment that might partly be mediated by genetic factors. In this study, we examined whether polygenic scores (PGSs) derived from the Big Five personality traits predict treatment response and remission in patients with MDD who were prescribed selective serotonin reuptake inhibitors (SSRIs). In addition, we performed meta-analyses of genome-wide association studies (GWASs) on these traits to identify genetic variants underpinning the cross-trait polygenic association. The PGS analysis was performed using data from two cohorts: the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS, n = 529) and the International SSRI Pharmacogenomics Consortium (ISPC, n = 865). The cross-trait GWAS meta-analyses were conducted by combining GWAS summary statistics on SSRIs treatment outcome and on the personality traits. The results showed that the PGS for openness and neuroticism were associated with SSRIs treatment outcomes at p < 0.05 across PT thresholds in both cohorts. A significant association was also found between the PGS for conscientiousness and SSRIs treatment response in the PGRN-AMPS sample. In the cross-trait GWAS meta-analyses, we identified eight loci associated with (a) SSRIs response and conscientiousness near YEATS4 gene and (b) SSRI remission and neuroticism eight loci near PRAG1, MSRA, XKR6, ELAVL2, PLXNC1, PLEKHM1, and BRUNOL4 genes. An assessment of a polygenic load for personality traits may assist in conjunction with clinical data to predict whether MDD patients might respond favorably to SSRIs.

Therapeutic Response to Paroxetine in Major Depressive Disorder Predicted by DNA Methylation.

BACKGROUND: Antidepressants have variable therapeutic effects, depending on genetic and environmental factors. Approximately 30% of major depressive disorder (MDD) patients do not respond significantly to antidepressants such as paroxetine, a selective serotonin reuptake inhibitor (SSRI). However, the biological mechanisms behind this phenomenon are mostly unknown. Here, we examined the role of patients' epigenetic background in SSRI efficacy. METHODS: Genome-wide DNA methylation analysis of the peripheral blood of Japanese MDD patients was performed by using the Infinium HumanMethylation450 BeadChip. RESULTS: We compared the results of the 10 patients who best responded to paroxetine (BR) with the 10 worst responders (WR), and found 623 CpG sites with a >10% difference in DNA methylation level. Among them, 218 sites were nominally significant between BR and WR (p < 0.05), and 2 sites (cg00594917 and cg07260927) were significantly different after false discovery rate (FDR) correction (q < 0.05). The methylation difference was greatest at cg00594917, located in the first exon of the PPFIA4 gene, which codes for liprin-α (p = 0.00012). Hierarchical cluster analysis of 23 CpG sites in the PPFIA4 gene distinguished BR and WR, except for 1 WR patient. The cg07260927 site was located in the 5'UTR of the heparin sulfate-glucosamine 3-sulfotransferase 1 (HS3ST1) gene (p = 0.00013). Hierarchical cluster analysis of 28 CpG sites in HS3ST1 distinguished BR and WR, except for 1 WR and 2 BR patients. CONCLUSION: Our results suggest that patients' DNA methylation profile at specific genes such as PPFIA4 and HS3ST1 is associated with individual variations in therapeutic responses to paroxetine.

Polymorphism of rs3813034 in Serotonin Transporter Gene SLC6A4 Is Associated With the Selective Serotonin and Serotonin-Norepinephrine Reuptake Inhibitor Response in Depressive Disorder: Sequencing Analysis of SLC6A4.

Selective serotonin and serotonin-norepinephrine reuptake inhibitors (SSRI/SNRI) are commonly used for treating major depression. Regretfully, significant heterogeneity exists regarding the benefits of SSRI/SNRI in individual cases. We previously reported that a polymorphism located in the serotonin transporter linked promoter region (5-HTT LPR) is associated with an interindividual difference in SSRI treatment efficacy. However, this explains only a small part of the variation of this complex phenotype. Other 5-HTT variants in the coding regions, 3' untranslated region (3' UTR), and introns adjacent to each exon could also contribute to treatment response. Therefore, we performed a sequencing analysis of the SLC6A4 gene (coding for 5-HTT) and investigated the association between variants detected in this study and the antidepressant response to SSRI/SNRI in 201 Japanese depressive patients. Seventeen novel mutations were identified by sequencing analysis. We found that the polymorphism G2563T (rs3813034) as a tag single-nucleotide polymorphism of IVS9 A-90G (rs140701), G2356T (rs1042173), and A3641C (rs7224199) is associated with interindividual variability of SSRI/SNRI efficacy at week 6, independent from clinical variables and effect of 5-HTT LPR (P < 0.001 by multiple regression analysis). This polymorphism could help determine individualized SSRI/SNRI treatments for depressive patients in combination with 5-HTT LPR.

Neuropsychological Evaluation and Cerebral Blood Flow Effects of Apolipoprotein E4 in Alzheimer's Disease Patients after One Year of Treatment: An Exploratory Study.

BACKGROUND: Alzheimer's disease (AD) is affected by apolipoprotein E (ApoE); however, its effects assessed by means of cognitive tests and by neuroimaging have not been sufficiently studied. METHODS: We administered the Alzheimer's Disease Assessment Scale (ADAS) and single-photon emission computed tomography imaging in patients with AD medicated with donepezil at baseline and after 1 year. Patients were classified as with or without ApoE4 and we evaluated the progress of AD. RESULTS: Analysis of covariance showed that cerebral blood flow after 1 year in subjects with ApoE4 is significantly reduced in some areas including the left lenticular nucleus, left thalamus, and right hippocampus compared with subjects without ApoE4. Paired t tests showed significantly reduced blood flow in several regions including the right hippocampus in subjects with ApoE4 and significant deterioration of ideational praxis in subjects without ApoE4. CONCLUSION: This study provides evidence that supports the notion of ApoE4 playing an important role in the progress of AD.

Serotonin 7 Receptor Variants Are Not Associated with Response to Second-Generation Antipsychotics in Japanese Schizophrenia Patients.

BACKGROUND: Individual differences in serotonin 7 receptor (5-HT7R) may result in variable response to antipsychotics with 5-HT7R antagonism. This study investigated the relationship between single nucleotide polymorphisms (SNPs) in the 5-HT7R gene (HTR7) and the efficacy of second-generation antipsychotic drugs with a high affinity for this receptor in Japanese schizophrenia. METHODS: Perospirone or aripiprazole was administered to 100 patients with schizophrenia in a randomized controlled study. All patients were genotyped for three candidate SNPs (rs12412496, rs7916403, and rs1935349). Patient improvement on the Positive and Negative Syndrome Scale (PANSS) total score at 12 weeks was assessed as the primary outcome. PANSS 5-factor scores were investigated as the secondary outcome. RESULTS: Improvement on the PANSS total score and genetic polymorphisms showed no correlation. The rs12412496-rs7916403-rs1935349 A-T-A haplotype was correlated with worse improvement in the cognition score (haplotype frequency: 0.285, p = 0.046, permuted p = 0.043). CONCLUSION: Our results show that HTR7 variants are not related to the overall improvement in schizophrenia symptoms.

Antagonist and partial agonist at the dopamine D2 receptors in drug-naïve and non-drug-naïve schizophrenia: a randomized, controlled trial.

Few data are available on the efficacy and safety of antipsychotics with different dopamine D2 receptor (D2-R)-binding properties in drug-naïve and non-drug-naïve schizophrenia. Thus, we aimed to assess whether antipsychotic medication history influences efficacy and tolerability in schizophrenia, based on a randomized controlled study of antipsychotics with mechanisms involving either full antagonism or partial agonism of D2-R. Patients with schizophrenia were recruited and given perospirone or aripiprazole in a 12-week, flexible-dose, open-label, randomized controlled study. Data were analyzed after dividing the patients into antipsychotic-naïve and antipsychotic-treated group according to antipsychotic medication histories. Efficacy and safety were evaluated using the Positive and Negative Syndrome Scale (PANSS), the Drug-Induced Extrapyramidal Symptoms Scale, and the Barnes Akathisia Rating Scale. In patients receiving perospirone, the antipsychotic-naïve group (n = 22) showed greater symptom improvement than that shown by the antipsychotic-treated group (n = 29), as assessed by efficacy evaluation scales such as the PANSS total, positive, and excited component score (p = .006, p < .001, p = .003, respectively). In patients receiving aripiprazole, however, there was no significant difference in efficacy between the antipsychotic-naïve (n = 18) and antipsychotic-treated (n = 31) groups. No significant intra-group or inter-group difference was noted with respect to any of the tolerability-related parameters assessed. The present study data support the hypothesis that antipsychotic medication history may influence efficacy in patients who receive a D2-R full antagonist but not a D2-R partial agonist.

HTR1A Gene Polymorphisms and 5-HT1A Receptor Partial Agonist Antipsychotics Efficacy in Schizophrenia.

Individual differences in serotonin 1A (5-HT1A) receptor may result in variable response to antipsychotics with 5-HT1A receptor partial agonism. We investigated the relationship between 5-HT1A receptor gene (HTR1A) single nucleotide polymorphisms (SNPs) and efficacy of antipsychotics with 5-HT1A receptor partial agonism in Japanese patients with schizophrenia. Perospirone or aripiprazole was administered to 100 patients with schizophrenia in a randomized controlled study. Candidate SNPs were rs6295 (which affects HTR1A expression and function), rs1364043, rs878567, and rs10042486. Efficacy at week 12 of treatment was evaluated using the Positive and Negative Syndrome Scale (PANSS) 5-factor subscales (excitement/hostility, depression/anxiety, cognition, positive, and negative). Rs1364043 T allele was correlated with the percent change in the PANSS 5-factor negative score (P < 0.01). Haplotype analysis showed that the rs10042486-rs6295-rs1364043 T-C-G haplotype was correlated with worse negative score improvement (haplotype frequency, 0.675; P = 0.014), and the relatively rare T-G-T haplotype correlated with better efficacy (haplotype frequency, 0.05; P = 0.031). This is the first study to show that rs10042486-rs6295-rs1364043 HTR1A variants may be correlated with the improvement of the PANSS 5-factor negative score during treatment with 5-HT1A partial agonist antipsychotics. Studies with larger sample sizes and in different ethnic groups are warranted.

Polymorphisms of CYP2D6 gene and gefitinib-induced hepatotoxicity.

INTRODUCTION: Gefitinib induces severe hepatotoxicity in approximately a quarter of Japanese patients with epidermal growth factor receptor (EGFR) mutation-positive non-small-cell lung cancer (NSCLC). Gefitinib is metabolized by cytochrome P450 (CYP) enzymes--including CYP3A4/5, CYP1A1, and CYP2D6--in the liver. We hypothesized that polymorphisms of the CYP2D6 gene may account for gefitinib-induced hepatotoxicity. PATIENTS AND METHODS: Polymorphisms of the CYP2D6 gene were analyzed in 55 patients with NSCLC who experienced grade ≥ 2 transaminase elevation from gefitinib. The distribution of the CYP2D6 genotype was compared with that of the healthy Japanese population. The correlations between the nonfunctional allele *5 or the reduced-function allele *10 and hepatotoxicity-related clinical factors were also examined. RESULTS: The distribution of the CYP2D6 genotype in the study participants was not different from that of the general Japanese population, reported previously. Existence of allele *5 or *10 did not correlate with clinical factors such as onset of hepatotoxicity within 2 months, grade ≥ 3 serum transaminase elevation, and tolerability to dose reduction or rechallenge of gefitinib. However, in 7 patients taking CYP3A4-inhibitory drugs, rechallenge of gefitinib again caused hepatotoxicity in 4 patients with allele *5 or *10 but not in 3 patients with normal alleles (P = .029). Moreover, switching to erlotinib did not cause hepatotoxicity in any of 17 patients with allele *5 or *10 but did in 3 of 8 patients without these alleles (P = .024). CONCLUSION: Reduced function of CYP2D6 may partly account for gefitinib-induced hepatotoxicity when CYP3A4 is inhibited. Erlotinib could be safely used in patients with decreased CYP2D6 activity even after they experienced gefitinib-induced hepatotoxicity.

Minimal dose for effective clinical outcome and predictive factors for responsiveness to carvedilol: Japanese chronic heart failure (J-CHF) study.

BACKGROUND: In chronic heart failure (CHF), it remains unclear whether the minimal dose of beta-blockade is related to survival benefits and which parameter predicts morbidity and mortality. We sought to determine the minimal dose related to survival benefits by comparing the efficacy and safety of three doses of carvedilol and the best predictive parameter for effective outcomes in Japanese patients with CHF. METHODS: In this prospective, randomized, stratified trial, 364 patients with mild to moderate CHF were assigned to a daily carvedilol dose of 2.5, 5, or 20mg, plus optimal standard therapy. FINDINGS: During the mean 3-year follow-up, resting heart rate (HR) and BNP were significantly reduced with dose-response relations in the early period but without dose-response relations in the late period. The LVEF and the LVDd were increased and decreased, respectively, without a dose-response relation. No significant difference was seen in the composite primary endpoint of all-cause mortality and hospitalization for cardiovascular diseases and heart failure. Multivariate analysis indicated early decreases in HR and BNP predicted long-term outcomes. However, adverse events increased dose-dependently. Among 237 polymorphisms in 87 heart failure-related genes, the osteopontin G-156 del genotype was associated with an event-free survival rate (Wilcoxon test, P=0.030). CONCLUSIONS: A low carvedilol dose is effective if the HR and/or plasma BNP has been reduced. Carvedilol therapy should be guided by reductions in HR and/or BNP, especially by initial HR reduction, but not only by its dose. OPN might be a surrogate genetic marker for long-term event-free survival.

Genetic polymorphisms of CYP17A1 in steroidogenesis pathway are associated with risk of progression to castration-resistant prostate cancer in Japanese men receiving androgen deprivation therapy.

BACKGROUND: Hormone ablation therapy is the standard therapy for prostate cancer; however, there are large individual differences in the duration of response to the therapy. We investigated, in this retrospective multicenter study, the association between genetic polymorphic variations in steroidogenesis-related genes and the risk of progression to castration-resistant prostate cancer (CRPC) in Japanese patients after androgen deprivation therapy. METHODS: Two hundred and fourteen Japanese patients with prostate cancer who were receiving androgen deprivation therapy were enrolled in this study. We investigated 22 single-nucleotide polymorphisms (SNPs) from 8 genes related to steroidogenesis. The SNPs were assayed by polymerase chain reaction (PCR)-based methods. The different genotypes in this cohort were analyzed according to a case-control status of progression to CRPC at the median duration of hormonal therapy. A logistic regression method with adjustments for patients' characteristics was applied for the analysis.After applying the logistic regression method, we performed Cox regression analysis, following Kaplan-Meier and log-rank analyses. RESULTS: In the logistic regression analysis four genetic polymorphisms, rs743572, rs6162, rs6163, and rs1004467, in the CYP17A1 gene were significantly associated with a risk of progression to CRPC (p < 0.05). Cox regression analysis for these SNPs showed an association of risk of progression to CRPC with the rs743572 genotype (p = 0.02, odds ratio [OR] 0.43, 95 % confidence interval [CI] 0.22-0.85). CONCLUSION: The genetic backgrounds for CYP17A1 genes could influence the progression of prostate cancer to CRPC after androgen deprivation therapy.

Genome-wide association study of SSRI/SNRI-induced sexual dysfunction in a Japanese cohort with major depression.

Sexual dysfunction is a major side effect of selective serotonin reuptake inhibitors (SSRIs) and serotonin-noradrenaline reuptake inhibitors (SNRIs). We conducted a genome-wide association study to identify the genetic factors contributing to the risk of SSRI/SNRI-induced sexual dysfunction by testing 186 320 single nucleotide polymorphism (SNP) markers in a cohort of 201 Japanese major depression patients including 36 with sexual dysfunction induced by SSRI (paroxetine or fluvoxamine) or SNRI (milnacipran). The Cochran-Armitage trend test showed that 11 SNPs, tightly clustered in a distinct region on chromosome 14q21.3, were associated with SSRI/SNRI-induced sexual dysfunction at a genome-wide significance level after false discovery rate (FDR) correction, and the strongest SNP association was with rs1160351 (P=3.04 × 10(-7), risk ratio=2.92, 95% confidence interval (CI)=1.79-4.76). These SNPs mapped to the intronic region of the MDGA2 gene. A Manhattan plot showed that the strong association peak remained in MDGA2 after adjustment for sex and age in a multivariable logistic regression analysis although P values increased slightly and became non-significant. Replication studies with larger sample sizes are required to validate this exploratory study, but our findings may provide insights into the genetic basis of sexual dysfunction induced by SSRI/SNRI.