Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Taro Kishi is active.

Publication


Featured researches published by Taro Kishi.


Biological Psychiatry | 2011

Genome-wide association study of schizophrenia in a Japanese population.

Masashi Ikeda; Branko Aleksic; Yoko Kinoshita; Tomo Okochi; Kunihiro Kawashima; Itaru Kushima; Yoshihito Ito; Yukako Nakamura; Taro Kishi; Takenori Okumura; Yasuhisa Fukuo; H. J. Williams; Marian Lindsay Hamshere; Dobril Ivanov; Toshiya Inada; Michio Suzuki; Ryota Hashimoto; Hiroshi Ujike; Masatoshi Takeda; Nicholas John Craddock; Kozo Kaibuchi; Michael John Owen; Norio Ozaki; Michael Conlon O'Donovan; Nakao Iwata

BACKGROUND Genome-wide association studies have detected a small number of weak but strongly supported schizophrenia risk alleles. Moreover, a substantial polygenic component to the disorder consisting of a large number of such alleles has been reported by the International Schizophrenia Consortium. METHOD We report a Japanese genome-wide association study of schizophrenia comprising 575 cases and 564 controls. We attempted to replicate 97 markers, representing a nonredundant panel of markers derived mainly from the top 150 findings, in up to three data sets totaling 1990 cases and 5389 controls. We then attempted to replicate the observation of a polygenic component to the disorder in the Japanese and to determine whether this overlaps that seen in UK populations. RESULTS Single-locus analysis did not reveal genome-wide support for any locus in the genome-wide association study sample (best p = 6.2 × 10(-6)) or in the complete data set in which the best supported locus was SULT6B1 (rs11895771: p = 3.7 × 10(-5) in the meta-analysis). Of loci previously supported by genome-wide association studies, we obtained in the Japanese support for NOTCH4 (rs2071287: p(meta) = 5.1 × 10(-5)). Using the approach reported by the International Schizophrenia Consortium, we replicated the observation of a polygenic component to schizophrenia within the Japanese population (p = .005). Our trans Japan-UK analysis of schizophrenia also revealed a significant correlation (best p = 7.0 × 10(-5)) in the polygenic component across populations. CONCLUSIONS These results indicate a shared polygenic risk of schizophrenia between Japanese and Caucasian samples, although we did not detect unequivocal evidence for a novel susceptibility gene for schizophrenia.


Molecular Psychiatry | 2013

Relapse prevention in schizophrenia: a systematic review and meta-analysis of second-generation antipsychotics versus first-generation antipsychotics

Taishiro Kishimoto; Vishesh Agarwal; Taro Kishi; Stefan Leucht; John Kane; Christoph U. Correll

Few controlled trials compared second-generation antipsychotics (SGAs) with first-generation antipsychotics (FGAs) regarding relapse prevention in schizophrenia. We conducted a systematic review/meta-analysis of randomized trials, lasting ⩾6 months comparing SGAs with FGAs in schizophrenia. Primary outcome was study-defined relapse; secondary outcomes included relapse at 3, 6 and 12 months; treatment failure; hospitalization; and dropout owing to any cause, non-adherence and intolerability. Pooled relative risk (RR) (±95% confidence intervals (CIs)) was calculated using random-effects model, with numbers-needed-to-treat (NNT) calculations where appropriate. Across 23 studies (n=4504, mean duration=61.9±22.4 weeks), none of the individual SGAs outperformed FGAs (mainly haloperidol) regarding study-defined relapse, except for isolated, single trial-based superiority, and except for risperidones superiority at 3 and 6 months when requiring ≥3 trials. Grouped together, however, SGAs prevented relapse more than FGAs (29.0 versus 37.5%, RR=0.80, CI: 0.70–0.91, P=0.0007, I2=37%; NNT=17, CI: 10–50, P=0.003). SGAs were also superior regarding relapse at 3, 6 and 12 months (P=0.04, P<0.0001, P=0.0001), treatment failure (P=0.003) and hospitalization (P=0.004). SGAs showed trend-level superiority for dropout owing to intolerability (P=0.05). Superiority of SGAs regarding relapse was modest (NNT=17), but confirmed in double-blind trials, first- and multi-episode patients, using preferentially or exclusively raw or estimated relapse rates, and for different haloperidol equivalent comparator doses. There was no significant heterogeneity or publication bias. The relevance of the somewhat greater efficacy of SGAs over FGAs on several key outcomes depends on whether SGAs form a meaningful group and whether mid- or low-potency FGAs differ from haloperidol. Regardless, treatment selection needs to be individualized considering patient- and medication-related factors.


Biological Psychiatry | 2010

Copy Number Variation in Schizophrenia in the Japanese Population

Masashi Ikeda; Branko Aleksic; George Kirov; Yoko Kinoshita; Yoshio Yamanouchi; Tsuyoshi Kitajima; Kunihiro Kawashima; Tomo Okochi; Taro Kishi; Irina Zaharieva; Michael John Owen; Michael Conlon O'Donovan; Norio Ozaki; Nakao Iwata

BACKGROUND Copy number variants (CNVs) have been shown to increase the risk to develop schizophrenia. The best supported findings are at 1q21.1, 15q11.2, 15q13.3, and 22q11.2 and deletions at the gene neurexin 1 (NRXN1). METHODS In this study, we used Affymetrix 5.0 arrays to investigate the role of rare CNVs in 575 patients with schizophrenia and 564 control subjects from Japan. RESULTS There was a nonsignificant trend for excess of rare CNVs in schizophrenia (p = .087); however, we did not confirm the previously implicated association for very large CNVs (>500 kilobase [kb]) in this population. We provide support for three previous findings in schizophrenia, as we identified one deletion in a case at 1q21.1, one deletion within NRXN1, and four duplications in cases and one in a control subject at 16p13.1, a locus first implicated in autism and later in schizophrenia. CONCLUSIONS In this population, we support some of the previous findings in schizophrenia but could not find an increased burden of very large (>500 kb) CNVs, which was proposed recently. However, we provide support for the role of CNVs at 16p13.1, 1q21.1, and NRXN1.


The Journal of Clinical Psychiatry | 2012

Are antipsychotics effective for the treatment of anorexia nervosa? Results from a systematic review and meta-analysis.

Taro Kishi; Vivian Kafantaris; Suzanne Sunday; Eva M. Sheridan; Christoph U. Correll

OBJECTIVE To assess the utility of antipsychotics for weight gain and improvement of illness-related psychopathology in patients with anorexia nervosa. DATA SOURCES PubMed, the Cochrane Library databases, and PsycINFO citations from the inception of the databases until March 27, 2012, were searched without language restrictions using the following keywords: randomized, random, randomly, and anorexia nervosa. In addition, we hand-searched for additional studies eligible for inclusion in this meta-analysis and contacted authors for unpublished data. STUDY SELECTION Included in this study were randomized placebo- or usual care-controlled trials of antipsychotics in patients with anorexia nervosa. DATA EXTRACTION Two independent evaluators extracted data. The primary outcome of interest was body weight, expressed as the standardized mean difference (SMD) between the 2 groups in baseline to endpoint change of body mass index (BMI), endpoint BMI, or daily weight change. SMD, risk ratio (RR), and number needed to harm (NNH) ± 95% confidence interval (CI) were calculated. RESULTS Across 8 studies (mean duration = 9.6 weeks; range, 7-12 weeks), 221 patients (mean age = 22.5 years, 219 [99.1%] females) with anorexia nervosa were randomly assigned to olanzapine (n = 54), quetiapine (n = 15), risperidone (n = 18), pimozide (n = 8), sulpiride (n = 9), placebo (n = 99), or usual care (n = 18). Both individually (P = .11 to P = .47) and pooled together (SMD = 0.27, 95% CI, -0.01 to 0.56; P = .06, I2 = 0%; 7 studies, n = 195), weight/BMI effects were not significantly different between antipsychotics and placebo/usual care. Moreover, pooled antipsychotics and placebo/usual care did not differ regarding scores on questionnaires related to anorexia nervosa (P = .32, 5 studies, n = 114), body shape (P = .91, 4 studies, n = 100), depressive symptoms (P = .08, 4 studies, n = 103), and anxiety (P = .53, 4 studies, n = 121). Individually, quetiapine (1 study, n = 33) outperformed usual care regarding eating disorder attitudes (P = .01) and anxiety (P = .02). While rates of dropout due to any reason (P = .83, I2 = 0%) and due to adverse events (P = .54, I2 = 5%) were similar in both groups, drowsiness/sedation occurred significantly more often with antipsychotics than placebo/usual care (RR = 3.69, 95% CI, 1.37-9.95; I2 = 67%, P = .01; NNH = 2, P = .001; 5 studies, n = 129), but most other adverse effects were only sparsely reported. CONCLUSIONS Although limited by small samples, this meta-analysis failed to demonstrate antipsychotic efficacy for body weight and related outcomes in females with anorexia nervosa.


Neuroscience Research | 2008

Association analysis of nuclear receptor Rev-erb alpha gene (NR1D1) with mood disorders in the Japanese population

Taro Kishi; Tsuyoshi Kitajima; Masashi Ikeda; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Tomo Okochi; Norio Ozaki; Nakao Iwata

Several investigations have suggested that alterations in circadian rhythms may lay the foundation for the development of mood disorder (bipolar disorder and major depressive disorder). Recently, the nuclear receptor Rev-erb alpha was reported to be related to circadian rhythms, and was shown to be involved in the biological action of lithium in vitro. These evidences indicate that the nuclear receptor Rev-erb alpha gene (NR1D1) is a good candidate gene for the pathogenesis of mood disorders. To evaluate the association between NR1D1 and mood disorders, we conducted a case-control study of Japanese samples (147 bipolar patients, 322 major depressive disorder patients and 360 controls) with three tagging SNPs selected by HapMap database. One SNP showed an association with bipolar disorder in females. After Bonferroni correction for multiple testing, however, this significance disappeared. No significant association was found with major depressive disorder. In conclusion, our findings suggest that NR1D1 does not play a major role in the pathophysiology of mood disorders in the Japanese population.


Journal of Affective Disorders | 2010

SIRT1 gene is associated with major depressive disorder in the Japanese population.

Taro Kishi; Reiji Yoshimura; Tsuyoshi Kitajima; Tomo Okochi; Takenori Okumura; Tomoko Tsunoka; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Yasuhisa Fukuo; Hiroshi Naitoh; Wakako Umene-Nakano; Toshiya Inada; Jun Nakamura; Norio Ozaki; Nakao Iwata

BACKGROUND Many studies including our previous ones as to PROKR2 and CLOCK have suggested that circadian genes may be involved in the mechanisms of mood disorders and their treatment responses. Also several recent investigations have reported that SIRT1 plays an important role in the circadian system as conventional circadian clock genes, and also have some relation to dopaminergic metabolism. So we considered the SIRT1 gene to be a good candidate gene for the pathophysiology for MDD and SSRI responses in MDD, and conducted a case-control study using four tagging SNPs (450 MDD patients, including 261 patients treated by SSRIs and 766 controls). METHOD The MDD patients in this study had scores of 12 or higher on the 17 items of the Structured Interview Guide for Hamilton Rating Scale for Depression (SIGH-D). We defined a clinical response as a decrease of more than 50% in baseline SIGH-D within 8 weeks, and clinical remission as an SIGH-D score of less than 7 at 8 weeks. Marker-trait association analysis was used to evaluate allele and genotype association with the chi-square test, and haplotype association analysis was evaluated with a likelihood ratio test. RESULT We found an association between rs10997875 in SIRT1 gene and MDD in the allele/genotype analysis. In addition, this significance of these associations survived Bonferroni correction. However, we did not find any association between SIRT1 gene and SSRI therapeutic response in MDD in the allele/genotype analysis or haplotype analysis. LIMITATIONS A replication study using larger samples may be required for conclusive results, since our sample size was small. CONCLUSIONS Our results suggest that rs10997875 in SIRT1 gene may play a role in the pathophysiology of MDD in the Japanese population.


Journal of Human Genetics | 2009

Serotonin 1A receptor gene and major depressive disorder: an association study and meta-analysis.

Taro Kishi; Tomoko Tsunoka; Masashi Ikeda; Kunihiro Kawashima; Tomo Okochi; Tsuyoshi Kitajima; Yoko Kinoshita; Takenori Okumura; Yoshio Yamanouchi; Toshiya Inada; Norio Ozaki; Nakao Iwata

Several genetic studies have shown an association between the 5-HT1A receptor gene (HTR1A) and major depressive disorder (MDD); however, results have been rather inconsistent. Moreover, to our knowledge, no association study on HTR1A and MDD in the Japanese population has been reported. Therefore, to evaluate the association between HTR1A and MDD, we conducted a case–control study of Japanese population samples with two single-nucleotide polymorphisms (SNPs), including rs6295 (C-1019G) in HTR1A. In addition, we conducted a meta-analysis of rs6295, which has been examined in other papers. Using one functional SNP (rs6295) and one tagging SNP (rs878567) selected with the HapMap database, we conducted a genetic association analysis of case–control samples (331 patients with MDD and 804 controls) in the Japanese population. Seven population-based association studies, including this study, met our criteria for the meta-analysis of rs6295. We found an association between rs878567 and Japanese MDD patients in the allele-wise analysis, but the significance of this association did not remain after Bonferronis correction. We also did not detect any association between HTR1A and MDD in the allele/genotype-wise or haplotype-wise analysis. On the other hand, we detected an association between rs6295 and MDD in the meta-analysis (P(Z)=0.0327). In an explorative analysis, rs6295 was associated with Asian MDD patients after correction for multiple testing (P(Z)=0.0176), but not with Caucasian MDD patients (P(Z)=0.138). Our results suggest that HTR1A may not have a role in the pathophysiology of Japanese MDD patients. On the other hand, according to the meta-analysis, HTR1A was associated with MDD patients, especially in the Asian population.


Human Psychopharmacology-clinical and Experimental | 2013

Yokukansan in the treatment of behavioral and psychological symptoms of dementia: a systematic review and meta‐analysis of randomized controlled trials

Yuki Matsuda; Taro Kishi; Hiroto Shibayama; Nakao Iwata

There is currently no meta‐analysis of the efficacy and tolerability of Yokukansan in the treatment of behavioral and psychological symptoms of dementia.


Schizophrenia Research | 2009

BDNF is not associated with schizophrenia: Data from a Japanese population study and meta-analysis

Kunihiro Kawashima; Masashi Ikeda; Taro Kishi; Tsuyoshi Kitajima; Yoshio Yamanouchi; Yoko Kinoshita; Tomo Okochi; Branko Aleksic; Makoto Tomita; Takeya Okada; Hiroshi Kunugi; Toshiya Inada; Norio Ozaki; Nakao Iwata

A variety of evidence suggests brain-derived neurotrophic factor (BDNF) as a candidate gene for schizophrenia, and several genetic studies have shown a significant association between the disease and certain SNPs within BDNF (specifically, Val66Met and C270T). According to a recent study, the functional microsatellite marker BDNF-LCPR (BDNF-linked complex polymorphic region), which affects the expression level of BDNF, is associated with bipolar disorder. The goals of our current study were to 1) evaluate the quality of HapMap-based linkage disequilibrium (LD) tagging of BDNF-LCPR, 2) examine whether these tagging SNPs are associated with schizophrenia in a Japanese population, and 3) conduct a meta-analysis of the two most extensively studied polymorphisms: Val66Met and C270T. We genotyped eight tagging SNPs, including Val66Met and C270T. Our LD evaluation showed that BDNF-LCPR could be represented by these tagging SNPs in controls (with 73.5% allelic coverage). However, the functional A1 allele was not captured due to its low minor allele frequency (2.2%). In a case-control study (1117 schizophrenics and 1102 controls), no association was found in single-marker or multimarker analysis. Moreover, in a meta-analysis, the Val66Met polymorphism was not associated with schizophrenia, whereas C270T showed a trend for association in a fixed model (p=0.036), but not in a random model (p=0.053). From these findings, we conclude that if BDNF is indeed associated with schizophrenia, the A1 allele in BDNF-LCPR would be the most promising candidate. Further LD evaluation, as well as an association study in which BDNF-LCPR is genotyped directly, would be required for a more conclusive result.


The Journal of Clinical Psychiatry | 2013

Antipsychotics for cocaine or psychostimulant dependence: systematic review and meta-analysis of randomized, placebo-controlled trials.

Taro Kishi; Yuki Matsuda; Nakao Iwata; Christoph U. Correll

OBJECTIVE Since cocaine and psychostimulant dependence are related to increased dopamine release, antipsychotics have been tried to reduce their reinforcing properties. A meta-analysis was undertaken to assess the efficacy and tolerability of antipsychotics in cocaine- or stimulant-dependent patients. DATA SOURCES We searched PubMed, Cochrane Library databases, and PsycINFO from database inception until June 24, 2013, using the following keywords: (randomized OR random OR randomly) AND (placebo) AND (methylphenidate OR cocaine OR methamphetamine OR amphetamine OR 3,4-methylenedioxymethamphetamine) AND (dependence OR abuse) AND (antipsychotic OR neuroleptic OR 34 specific antipsychotic names). STUDY SELECTION Included were randomized, placebo-controlled trials of antipsychotics lasting at least 2 weeks in patients with primary cocaine or psychostimulant dependence. Of 363 hits, we removed 316 duplicates, 20 references based on abstract/title, and 13 ineligible full-text articles, retaining 14 trials for this meta-analysis. DATA EXTRACTION Two authors independently extracted the data. Coprimary outcomes included degree of substance use and lack of abstinence. Risk ratio (RR), 95% CI, and standardized mean difference were calculated. RESULTS Ten studies in patients with primary cocaine dependence (risperidone = 5, olanzapine = 3, reserpine = 2; n = 562) and 4 in those with amphetamine/methamphetamine dependence (aripiprazole = 4; n = 179) were meta-analyzed (14 studies, total n = 741). When study results were pooled together, antipsychotics did not differ from placebo in regard to cocaine use days and lack of cocaine or amphetamine/methamphetamine abstinence, severity of addiction, cocaine or amphetamine/methamphetamine craving, Clinical Global Impressions-Severity of Illness (CGI-S) scores, depression, anxiety, compliance, all-cause discontinuation, and several side effects. However, antipsychotics caused more intolerability-related discontinuation than placebo (P = .0009). Individually, aripiprazole was superior to placebo in regard to CGI-S (P = .001), while olanzapine was inferior to placebo in regard to cocaine craving (P = .03) and risperidone was inferior to placebo in regard to depression (P = .002). CONCLUSIONS Antipsychotics had no advantages over placebo in regard to cocaine use and cocaine or psychostimulant abstinence or craving, while causing more intolerability-related discontinuations.

Collaboration


Dive into the Taro Kishi's collaboration.

Top Co-Authors

Avatar

Nakao Iwata

Fujita Health University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Tomo Okochi

Fujita Health University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yoko Kinoshita

Fujita Health University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Masashi Ikeda

Fujita Health University

View shared research outputs
Researchain Logo
Decentralizing Knowledge