Virginia Commonwealth University

About: Virginia Commonwealth University is a education organization based out in Richmond, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 23822 authors who have published 49587 publications receiving 1787046 citations. The organization is also known as: VCU.

Concept Evolution in Sensory Integration: A Proposed Nosology for Diagnosis

Abstract: and growing area of practice in occupational therapy. Debate and discussion with colleagues have led us to develop a proposed taxonomy reflecting a new classification scheme to enhance diagnostic specificity. The nosology proposed here is rooted in empirical data first published by Ayres (Ayres, 1972b, 1989) that has evolved based on empirical and theoretical information. This new nosology provides a viewpoint for discussion and research. Two sociopolitical trends contribute to the timeliness of the ideas presented. First, a call exists throughout health and developmental services for evidence-based practice (Sackett, Richardson, Rosenberg, & Haynes, 1997). Diagnostic precision is crucial for homogeneity of samples in empirical research, affecting the validity of the research findings. Second, the condition of sensory processing disorders (SPD) has recently been acknowledged outside the occupational therapy profession in three diagnostic classification references: the Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood, Revised (known as the DC: 0–3R) (Zero to Three, 2005), the Diagnostic Manual for Infancy and Early Childhood of the Interdisciplinary Council on Developmental and Learning Disorders (ICDL, 2005), and the Psychodynamic Diagnostic Manual (PDM Task Force, 2006). Both manuals include diagnostic taxonomies with subtypes of SPD suggested by a committee of occupational therapists, who assisted in developing guidelines for diagnostic specificity related to sensory-based disorders (Miller, Cermak, Lane, Anzalone, & Koomar, 2004).

Gender differences in treatment response to sertraline versus imipramine in chronic depression.

Abstract: Objective: The authors examined gender differences in treatment response to sertraline, a selective serotonin reuptake inhibitor (SSRI), and to imipramine, a tricyclic antidepressant, in chronic depression. Method: A total of 235 male and 400 female outpatients with DSM-III-R chronic major depression or double depression (i.e., major depression superimposed on dysthymia) were randomly assigned to 12 weeks of double-blind treatment with sertraline or with imipramine after placebo washout. Results: Women were significantly more likely to show a favorable response to sertraline than to imipramine, and men were significantly more likely to show a favorable response to imipramine than to sertraline. Gender and type of medication were also significantly related to dropout rates; women who were taking imipramine and men who were taking sertraline were more likely to withdraw from the study. Gender differences in time to response were seen with imipramine, with women responding significantly more slowly than men. Comparison of treatment response rates by menopausal status showed that premenopausal women responded significantly better to sertraline than to imipramine and that postmenopausal women had similar rates of response to the two medications. Conclusions: Men and women with chronic depression show differential responsivity to and tolerability of SSRIs and tricyclic antidepressants. The differing response rates between the drug classes in women was observed primarily in premenopausal women. Thus, female sex hormones may enhance response to SSRIs or inhibit response to tricyclics. Both gender and menopausal status should be considered when choosing an appropriate antidepressant for a depressed patient.

Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Abstract: Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders.