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Dive into the research topics where Yasunori Adachi is active.

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Featured researches published by Yasunori Adachi.


PLOS ONE | 2012

Common variants in MAGI2 gene are associated with increased risk for cognitive impairment in schizophrenic patients.

Takayoshi Koide; Masahiro Banno; Branko Aleksic; Saori Yamashita; Tsutomu Kikuchi; Kunihiro Kohmura; Yasunori Adachi; Naoko Kawano; Itaru Kushima; Yukako Nakamura; Takashi Okada; Masashi Ikeda; Kazutaka Ohi; Yuka Yasuda; Ryota Hashimoto; Toshiya Inada; Hiroshi Ujike; Tetsuya Iidaka; Michio Suzuki; Masatoshi Takeda; Nakao Iwata; Norio Ozaki

Schizophrenia is a complex psychiatric disorder characterized by positive symptoms, negative symptoms, and cognitive impairment. MAGI2, a relatively large gene (∼1.5 Mbps) that maps to chromosome 7q21, is involved in recruitment of neurotransmitter receptors such as AMPA- and NMDA-type glutamate receptors. A genetic association study designed to evaluate the association between MAGI2 and cognitive performance or schizophrenia has not been conducted. In this case-control study, we examined the relationship of single nucleotide polymorphism (SNP) variations in MAGI2 and risk for schizophrenia in a large Japanese sample and explored the potential relationships between variations in MAGI2 and aspects of human cognitive function related to glutamate activity. Based on the result of first schizophrenia genome-wide association study in a Japanese population (JGWAS), we selected four independent SNPs and performed an association study using a large independent Japanese sample set (cases 1624, controls 1621). Wisconsin Card Sorting Test (WCST) was used to evaluate executive function in 114 cases and 91 controls. We found suggestive evidence for genetic association of common SNPs within MAGI2 locus and schizophrenia in Japanese population. Furthermore in terms of association between MAGI2 and cognitive performance, we observed that genotype effect of rs2190665 on WCST score was significant (p = 0.034) and rs4729938 trended toward significance (p = 0.08). In conclusion, although we could not detect strong genetic evidence for association of common variants in MAGI2 and increased schizophrenia risk in a Japanese population, these SNPs may increase risk of cognitive impairment in schizophrenic patients.


Japanese Journal of Clinical Oncology | 2014

Preoperative Level of Depression is a Predictor of Postoperative Levels of Depression in Patients with Head and Neck Cancer

Yasunori Adachi; Hiroyuki Kimura; Naohiro Sato; Wataru Nagashima; Kouki Nakamura; Branko Aleksic; Keizo Yoshida; Yasushi Fujimoto; Tsutomu Nakashima; Norio Ozaki

OBJECTIVE Emotional distress is considered to be higher in patients with head and neck cancer than other types of cancer. The present study aimed to identify predictors of the postoperative levels of depression in patients with head and neck cancer who have undergone surgery. METHODS Postoperative levels of depression were assessed at 3, 6 and 12 months after surgery. The preoperative factors that were significant predictors of the postoperative level of depression at each time point were extracted using multiple regression analyses. RESULTS The preoperative level of depression was a significant predictor of the postoperative level of depression at the 3rd, 6th and 12th postoperative months. At the sixth postoperative month, negative adjustment to cancer at baseline was also a significant predictor of the postoperative level of depression. CONCLUSION Evaluating the level of depression and negative adjustment before surgery is considered to be effective for identifying patients who will develop depression after surgery.


BMJ Open | 2012

Wisconsin Card Sorting Test scores and clinical and sociodemographic correlates in Schizophrenia: multiple logistic regression analysis.

Masahiro Banno; Takayoshi Koide; Branko Aleksic; Takashi Okada; Tsutomu Kikuchi; Kunihiro Kohmura; Yasunori Adachi; Naoko Kawano; Tetsuya Iidaka; Norio Ozaki

Objectives This study investigated what clinical and sociodemographic factors affected Wisconsin Card Sorting Test (WCST) factor scores of patients with schizophrenia to evaluate parameters or items of the WCST. Design Cross-sectional study. Setting Patients with schizophrenia from three hospitals participated. Participants Participants were recruited from July 2009 to August 2011. 131 Japanese patients with schizophrenia (84 men and 47 women, 43.5±13.8 years (mean±SD)) entered and completed the study. Participants were recruited in the study if they (1) met DSM-IV criteria for schizophrenia; (2) were physically healthy and (3) had no mood disorders, substance abuse, neurodevelopmental disorders, epilepsy or mental retardation. We examined their basic clinical and sociodemographic factors (sex, age, education years, age of onset, duration of illness, chlorpromazine equivalent doses and the positive and negative syndrome scale (PANSS) scores). Primary and secondary outcome measures All patients carried out the WCST Keio version. Five indicators were calculated, including categories achieved (CA), perseverative errors in Milner (PEM) and Nelson (PEN), total errors (TE) and difficulties of maintaining set (DMS). From the principal component analysis, we identified two factors (1 and 2). We assessed the relationship between these factor scores and clinical and sociodemographic factors, using multiple logistic regression analysis. Results Factor 1 was mainly composed of CA, PEM, PEN and TE. Factor 2 was mainly composed of DMS. The factor 1 score was affected by age, education years and the PANSS negative scale score. The factor 2 score was affected by duration of illness. Conclusions Age, education years, PANSS negative scale score and duration of illness affected WCST factor scores in patients with schizophrenia. Using WCST factor scores may reduce the possibility of type I errors due to multiple comparisons.


Schizophrenia Research and Treatment | 2012

Evaluation of factors affecting continuous performance test identical pairs version score of schizophrenic patients in a Japanese clinical sample.

Takayoshi Koide; Branko Aleksic; Tsutomu Kikuchi; Masahiro Banno; Kunihiro Kohmura; Yasunori Adachi; Naoko Kawano; Tetsuya Iidaka; Norio Ozaki

Aim. Cognitive impairment in schizophrenia strongly relates to social outcome and is a good candidate for endophenotypes. When we accurately measure drug efficacy or effects of genes or variants relevant to schizophrenia on cognitive impairment, clinical factors that can affect scores on cognitive tests, such as age and severity of symptoms, should be considered. To elucidate the effect of clinical factors, we conducted multiple regression analysis using scores of the Continuous Performance Test Identical Pairs Version (CPT-IP), which is often used to measure attention/vigilance in schizophrenia. Methods. We conducted the CPT-IP (4-4 digit) and examined clinical information (sex, age, education years, onset age, duration of illness, chlorpromazine-equivalent dose, and Positive and Negative Symptom Scale (PANSS) scores) in 126 schizophrenia patients in Japanese population. Multiple regression analysis was used to evaluate the effect of clinical factors. Results. Age, chlorpromazine-equivalent dose, and PANSS-negative symptom score were associated with mean d′ score in patients. These three clinical factors explained about 28% of the variance in mean d′ score. Conclusions. As conclusion, CPT-IP score in schizophrenia patients is influenced by age, chlorpromazine-equivalent dose and PANSS negative symptom score.


BMJ Open | 2012

Combination use of Beck Depression Inventory and two-question case-finding instrument as a screening tool for depression in the workplace

Yasunori Adachi; Branko Aleksic; Ryoko Nobata; Tatsuyo Suzuki; Keizo Yoshida; Yuichiro Ono; Norio Ozaki

Objectives The present study aimed to validate screening tools that could be used to identify depression among workers. Design Diagnostic test study. Settings Workers from three Japanese companies agreed to participate. Participants Recruitment for the group 1 occurred between January 2001 and February 2004, and 89 participants (81 men and 8 women with a mean age of 38.4±6.6 years) (98.8%) took part in the study. Recruitment for the group 2 occurred between July 2000 and February 2004, and 1500 participants (1408 men and 92 women with a mean age of 40.9±7.2 years) (94.2%) took part in the study. Demographic data are shown in supplementary table 1. Interventions Primary and secondary outcome measures: the Beck Depression Inventory (BDI) and a two-question case-finding instrument (TQI) were administered to 89 workers and Mini-International Neuropsychiatric Interview was conducted to verify the diagnosis of depression. A second group of 1500 workers completed the BDI and TQI to detect possible sample bias for the distribution of depression. Specificity, sensitivity and positive predictive value were calculated in order to obtain the optimal cut-off scores for BDI and TQI and receiver operating characteristic curves, and Youden Index were applied to further refine the optimal cut-off scores. Results When paired together, BDI score ≥10 and TQI score of 2 adequately identified workers who had major depressive disorder and those who had other psychiatric disorders that are frequently comorbid with major depressive disorder. Conclusions The combination of BDI score ≥10 and TQI score of 2 can adequately screen for current and potential cases of depression among workers. Furthermore, BDI and TQI offer the advantage of being relatively easy to administer to a large number of workers. Early detection of depression could improve treatment outcomes and decrease economic burden. Trail registration


PLOS ONE | 2011

A Case Control Association Study and Cognitive Function Analysis of Neuropilin and Tolloid-Like 1 Gene and Schizophrenia in the Japanese Population

Masahiro Banno; Takayoshi Koide; Branko Aleksic; Kazuo Yamada; Tsutomu Kikuchi; Kunihiro Kohmura; Yasunori Adachi; Naoko Kawano; Itaru Kushima; Masashi Ikeda; Toshiya Inada; Takeo Yoshikawa; Nakao Iwata; Norio Ozaki

Background Using a knock-out mouse model, it was shown that NETO1 is a critical component of the NMDAR complex, and that loss of Neto1 leads to impaired hippocampal long term potentiation and hippocampal-dependent learning and memory. Moreover, hemizygosity of NETO1 was shown to be associated with autistic-like behavior in humans. Purpose of the Research We examined the association between schizophrenia and the neuropilin and tolloid-like 1 gene (NETO1). First, we selected eight single nucleotide polymorphisms (SNPs) within the NETO1 locus, based on the Japanese schizophrenia genome wide association study (JGWAS) results and previously conducted association studies. These SNPs were genotyped in the replication sample comprised of 963 schizophrenic patients and 919 healthy controls. We also examined the effect of associated SNPs on scores in the Continuous Performance Test and the Wisconsin Card Sorting Test Keio version (schizophrenic patients 107, healthy controls 104). Results There were no significant allele-wise and haplotype-wise associations in the replication analysis after Bonferroni correction. However, in meta-analysis (JGWAS and replication dataset) three association signals were observed (rs17795324: p = 0.028, rs8098760: p = 0.017, rs17086492: p = 0.003). These SNPs were followed up but we could not detect the allele-specific effect on cognitive performance measured by the Continuous performance test (CPT) and Wisconsin Card Sorting test (WCST). Major Conclusions We did not detect evidence for the association of NETO1 with schizophrenia in the Japanese population. Common variants within the NETO1 locus may not increase the genetic risk for schizophrenia in the Japanese population. Additionally, common variants investigated in the current study did not affect cognitive performance, as measured by the CPT and WCST.


Psychiatry Research-neuroimaging | 2017

Regional decrease in gray matter volume is related to body dissatisfaction in anorexia nervosa

Kunihiro Kohmura; Yasunori Adachi; Satoshi Tanaka; Hiroto Katayama; Miho Imaeda; Naoko Kawano; Kazuo Nishioka; Masahiko Ando; Tetsuya Iidaka; Norio Ozaki

Anorexia nervosa (AN) is a psychiatric disorder, in which the prognosis for some patients is poor. The etiology and effective treatments for AN have not been established. We examined morphometric changes in the brain of AN and clarified how the changes were associated with symptoms and pathophysiology. We enrolled 52 participants: 7 with the restrictive type of AN, 13 with the binge-eating/purging type, 3 with eating disorder not otherwise specified, and 29 healthy controls. Participants underwent T1-weighted MRI. Group differences between patients and controls in gray matter volume (GMV) were analyzed using voxel-based morphometry. Age and body mass index (BMI) were considered covariates. Correlations between regional GMVs and drive for thinness and body dissatisfaction were examined. Patients had decreased GMV in the superior/middle temporal gyrus (STG/MTG), pulvinar, and superior frontal gyrus after correction for age and BMI, and in the STG/MTG, middle frontal gyrus, and cingulate after correction for age. A correlational group difference was detected for body dissatisfaction and GMV in the STG. Our findings suggest that decreased GMV in the STG is related to body dissatisfaction that could come from impaired visuospatial perception, together with GMV decreases in several regions, which may be involved in development of AN.


Clinical Neuropsychopharmacology and Therapeutics | 2010

Comparison of pharmacological profiles of serotonin norepinephrine reuptake inhibitors

Yasunori Adachi; Branko Aleksic; Norio Ozaki


Neuropsychiatry | 2018

Trajectories and Predictors of Post-Treatment Depression in Patients with Head and Neck Cancer

Yasunori Adachi; Hiroyuki Kimura; Hiroki Kimura; Tatsuya Tokura; Norio Ozaki


Journal of Medical Biochemistry | 2013

COMMON VARIANTS IN BCL9 GENE AND SCHIZOPHRENIA IN A JAPANESE POPULATION: ASSOCIATION STUDY, META-ANALYSIS AND COGNITIVE FUNCTION ANALYSIS UOBI^AJENE VARIJANTE BCL9 GENA I (IZOFRENIJA U JAPANSKOJ POPULACIJI: STUDIJA POVEZANOSTI, METAANALIZA I ANALIZA KOGNITIVNIH FUNKCIJA

Tomoko Shiino; Takayoshi Koide; Itaru Kushima; Masashi Ikeda; Shohko Kunimoto; Yukako Nakamura; Akira Yoshimi; Branko Aleksic; Masahiro Banno; Tsutomu Kikuchi; Kunihiro Kohmura; Yasunori Adachi; Naoko Kawano; Takashi Okada; Toshiya Inada; Tetsuya Iidaka; Michio Suzuki; Nakao Iwata; Norio Ozaki; Branko Aleksi

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