Antidepressants used for treatment of depression exert their efficacy by blocking reuptake at serotonin transporters (5-HTT) and/or norepinephrine transporters (NET). Recent studies suggest that serotonin and norepinephrine reuptake inhibitors that block both 5-HTT and NET have better tolerability than tricyclic antidepressants and may have higher efficacy compared to selective serotonin reuptake inhibitors. Previous positron emission tomography (PET) studies have reported >80% 5-HTT occupancy with clinical doses of antidepressants, but there has been no report of NET occupancy in patients treated with antidepressants. In the present study, we investigated both 5-HTT and NET occupancies by PET using radioligands [(11)C]DASB and (S,S)-[(18)F]FMeNER-D(2), in six patients, each with major depressive disorder (MDD), using various doses of milnacipran. Our data show that mean 5-HTT occupancy in the thalamus was 33.0% at 50 mg, 38.6% at 100 mg, 60.0% at 150 mg and 61.5% at 200 mg. Mean NET occupancy in the thalamus was 25.3% at 25 mg, 40.0% at 100 mg, 47.3% at 125 mg and 49.9% at 200 mg. Estimated ED(50) was 122.5 mg with the dose for 5-HTT and 149.9 mg for NET. Both 5-HTT and NET occupancies were observed in a dose-dependent manner. Both 5-HTT and NET occupancies were about 40% by milnacipran at 100 mg, the dose most commonly administered to MDD patients.
In our previous studies, we identified that exploratory eye movement (EEM) dysfunction appears to be specific to schizophrenia. The availability of a biological marker specific to schizophrenia would be useful for clinical diagnosis of schizophrenia. Consequently, we performed the discriminant analysis between schizophrenics and non-schizophrenics on a large sample using the EEM test data and examined an application of the EEM for clinical diagnosis of schizophrenia. EEM performances were recorded in 251 schizophrenics and 389 non-schizophrenics (111 patients with mood disorders, 28 patients with neurotic disorders and 250 normal controls). The patients were recruited from eight university hospitals and three affiliated hospitals. For this study with a large sample, we developed a new digital computerized version of the EEM test, which automatically handled large amounts of data. We measured four parameters: number of eye fixations (NEF), total eye scanning length (TESL), mean eye scanning length (MESL) and responsive search score (RSS). These parameters of schizophrenics differed significantly from those of the other three groups. The stepwise regression analysis selected the TESL and the RSS as the valid parameters for discriminating between schizophrenics and non-schizophrenics. In the discriminant analysis using the RSS and TESL as prediction parameters, 184 of the 251 clinically diagnosed schizophrenics were discriminated as having schizophrenia (sensitivity 73.3%); and 308 of the 389 clinically diagnosed non-schizophrenic subjects were discriminated as non-schizophrenics (specificity 79.2%). Based on our findings we believe that the EEM measures may be useful for the clinical diagnosis of schizophrenia.
NET occupancy by nortriptyline corresponding to the administration dose of 10-75 mg or plasma concentration was observed from 16% to 41%.
BackgroundShoplifting is a serious problem among patients with eating disorders. For more than a decade, we have treated many patients with eating disorders incarcerated in Hachioji Medical Prison only for repeated shoplifting.MethodsWe analyzed the prison records and medical records of female psychiatric patients transferred to Hachioji Medical Prison between 2002 and 2011. Based on the offense listed at the time of sentencing, we extracted a shoplifting group and a drug-offense group from among all patients with eating disorders. One patient from the former group who had used substances and two from the latter group who had never shoplifted were excluded from the study. The groups had 41 and 14 patients, respectively. A control group comprised patients with other mental disorders (n = 34). We compared eating disorder histories and subtypes, weight changes, comorbidities, life histories, past behavioral problems, and clinical behavioral problems among the three groups.ResultsThe shoplifting group exhibited less impulsive behavior, substance abuse, antisocial features, borderline personality disorder, and past bulimia than did the drug-offense and control groups. The shoplifting group had higher educational achievement and steadier employment; however, their eating disorder histories and interpersonal dysfunction were more severe, and they had a higher psychiatric treatment dropout rate. There were also significant relationships with low body weight, anorexia nervosa-restricting type, obsessive–compulsive behaviors, and obsessive–compulsive personality disorder in the shoplifting group. During the clinical course, food refusal, excessive exercise, food hoarding, and falsification of dietary intake amounts were more frequently observed in the shoplifting group. Conversely, drug requests and occurrences of self-harm were less frequent in the shoplifting group than in the drug-offense group.ConclusionsAlthough these results may be associated with specific characteristics of patients with eating disorders in the medical prison setting, we concluded that the repeated shoplifting by these patients is unrelated to antisocial or impulsive characteristics but is deeply rooted in these patients’ severe and undertreated eating disorder psychopathology. Strong supportive treatment should be considered for patients with eating disorders who develop shoplifting behaviors. Further research is required to elucidate the mechanisms responsible for the relationship between shoplifting and eating disorders.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.