Literature DB >> 25977838

Taking Personalized Medicine Seriously: Biomarker Approaches in Phase IIb/III Studies in Major Depression and Schizophrenia.

Harald Murck1, Thomas Laughren1, Femke Lamers1, Rosalind Picard1, Sebastian Walther1, Donald Goff1, Stephen Sainati1.   

Abstract

The success rate in the development of psychopharmacological compounds is insufficient. Two main reasons for failure have been frequently identified: 1) treating the wrong patients and 2) using the wrong dose. This is potentially based on the known heterogeneity among patients, both on a syndromal and a biological level. A focus on personalized medicine through better characterization with biomarkers has been successful in other therapeutic areas. Nevertheless, obstacles toward this goal that exist are 1) the perception of a lack of validation, 2) the perception of an expensive and complicated enterprise, and 3) the perception of regulatory hurdles. The authors tackle these concerns and focus on the utilization of biomarkers as predictive markers for treatment outcome. The authors primarily cover examples from the areas of major depression and schizophrenia. Methodologies covered include salivary and plasma collection of neuroendocrine, metabolic, and inflammatory markers, which identified subgroups of patients in the Netherlands Study of Depression and Anxiety. A battery of vegetative markers, including sleep-electroencephalography parameters, heart rate variability, and bedside functional tests, can be utilized to characterize the activity of a functional system that is related to treatment refractoriness in depression (e.g., the renin-angiotensin-aldosterone system). Actigraphy and skin conductance can be utilized to classify patients with schizophrenia and provide objective readouts for vegetative activation as a functional marker of target engagement. Genetic markers, related to folate metabolism, or folate itself, has prognostic value for the treatment response in patients with schizophrenia. Already, several biomarkers are routinely collected in standard clinical trials (e.g., blood pressure and plasma electrolytes), and appear to be differentiating factors for treatment outcome. Given the availability of a wide variety of markers, the further development and integration of such markers into clinical research is both required and feasible in order to meet the benefit of personalized medicine. This article is based on proceedings from the "Taking Personalized Medicine Seriously-Biomarker Approaches in Phase IIb/III Studies in Major Depression and Schizophrenia" session, which was held during the 10th Annual Scientific Meeting of the International Society for Clinical Trials Meeting (ISCTM) in Washington, DC, February 18 to 20, 2014.

Entities:  

Keywords:  Wearable devices; biomarker; predictive marker; surrogate marker; treatment outcome

Year:  2015        PMID: 25977838      PMCID: PMC4571293     

Source DB:  PubMed          Journal:  Innov Clin Neurosci        ISSN: 2158-8333


  79 in total

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9.  The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods.

Authors:  Brenda W J H Penninx; Aartjan T F Beekman; Johannes H Smit; Frans G Zitman; Willem A Nolen; Philip Spinhoven; Pim Cuijpers; Peter J De Jong; Harm W J Van Marwijk; Willem J J Assendelft; Klaas Van Der Meer; Peter Verhaak; Michel Wensing; Ron De Graaf; Witte J Hoogendijk; Johan Ormel; Richard Van Dyck
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Review 4.  Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review.

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Review 5.  Overview of the CLEOPATRA Trial: Implications for Advanced Practitioners.

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Review 6.  Innate and adaptive immunity in the development of depression: An update on current knowledge and technological advances.

Authors:  Rita Haapakoski; Klaus P Ebmeier; Harri Alenius; Mika Kivimäki
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7.  Gesture Performance in Schizophrenia Predicts Functional Outcome After 6 Months.

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