69 research outputs found

    Is there Progress? An Overview of Select Biomarker Candidates for Major Depressive Disorder

    Get PDF
    Major Depressive Disorder (MDD) contributes to a significant worldwide disease burden, expected to be second only to heart disease by 2050. However, accurate diagnosis has been a historical weakness in clinical psychiatry. As a result, there is a demand for diagnostic modalities with greater objectivity that could improve on current psychiatric practice that relies mainly on self-reporting of symptoms and clinical interviews. Over the past two decades, literature on a growing number of putative biomarkers for MDD increasingly suggests that MDD patients have significantly different biological profiles compared to healthy controls. However, difficulty in elucidating their exact relationships within depression pathology renders individual markers inconsistent diagnostic tools. Consequently, further biomarker research could potentially improve our understanding of MDD pathophysiology as well as aid in interpreting response to treatment, narrow differential diagnoses, and help refine current MDD criteria. Representative of this, multiplex assays using multiple sources of biomarkers are reported to be more accurate options in comparison to individual markers that exhibit lower specificity and sensitivity, and are more prone to confounding factors. In the future, more sophisticated multiplex assays may hold promise for use in screening and diagnosing depression and determining clinical severity as an advance over relying solely on current subjective diagnostic criteria. A pervasive limitation in existing research is heterogeneity inherent in MDD studies, which impacts the validity of biomarker data. Additionally, small sample sizes of most studies limit statistical power. Yet, as the RDoC project evolves to decrease these limitations, and stronger studies with more generalizable data are developed, significant advances in the next decade are expected to yield important information in the development of MDD biomarkers for use in clinical settings

    Prevalence and risk factors for internet gaming disorder

    Get PDF
    Objectives: To estimate the prevalence of internet gaming disorder (IGD) and associated risk factors in a sample of secondary and postsecondary students from a public federal institution of higher education (Instituto Federal de Educação, Ciência e Tecnologia) in Southern Brazil. Methods: The study included a sociodemographic questionnaire, the Beck Depression Inventory (BDI), Self-Report Questionnaire (SRQ-20), Pittsburgh Sleep Quality Index (PSQI-BR), the Mini-Social Phobia Inventory (Mini-SPIN), and the Game Addiction Scale (GAS). Finally, IGD was measured with the Brazilian version of the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), which has been psychometrically validated in this population. Results: Overall, 38.2% (n=212) of the sample exhibited IGD symptoms, with 18.2% (n=101) being classed as at-risk gamers. Regression analysis found IGD to be associated with male gender, severe depressive symptoms, poor sleep quality, increased time spent gaming, and total free time spent gaming (p < 0.001). Conclusions: The prevalence of IGD in this sample was relatively high, and associated risk factors found were similar to those previously reported in the literature. Further studies investigating the epidemiology of IGD in Brazilian samples are warranted to better understand treatment needs and inform preventive measures in this population

    Utilising copper screen-printed electrodes (CuSPE) for the electroanalytical sensing of sulfide

    Get PDF
    © The Royal Society of Chemistry 2016.A mediatorless sulfide electrochemical sensing platform utilising a novel nanocopper-oxide screen-printed electrodes (CuSPE) is reported for the first time. The state-of-the-art screen-printed electrochemical sensors demonstrate their capability to quantify sulfide within both the presence and absence of an array of interferents with good levels of sensitivity and repeatability. The direct sensing (using linear sweep voltammetry) of sulfide utilising the CuSPEs provides a mediatorless approach for the detection of sulfide, yielding useful analytical signatures that can be successfully quantified. The proposed novel protocol using the CuSPEs is successfully applied to the sensing of sulfide within drinking water exhibiting a high level of recovery
    corecore