Flow Cytometry and Cell Sorting by A. Radbruch

By A. Radbruch

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3 45 Potential Systemic Biomarkers in Depression The identification of systemic biomarkers of depression is crucial not only for better diagnosis, but also for the translation of the PNI discoveries into better clinical interventions and outcomes. Tight connections have been confirmed among depression, inflammation, and various aging-associated disorders such as cardiovascular diseases (Yan 2012). Inflammatory biomarkers such as cytokine signaling pathways in the brain may have the special roles in association with behavioral alterations.

Clocks not winding down: Unravelling circadian networks. Nature Reviews Molecular Cell Biology, 11(11), 764–776. 1038/nrm2995. 1 Inflammatory Networks and Systemic PNI Profiling Systemic psychoneuroimmunology (PNI) profiles can be constructed with the identification of inflammatory biomarkers, cytokine networks, and immune-brainbehavior communications (see Chap. 1). Such profiles can be useful for the discovery of potential therapeutic targets in personalized, systems, and dynamical medicine (Yan 2014).

Depression has been related to the immune dysfunctions and poor survival rates among cancer patients (Barrera and Spiegel 2014). Various biopsychological mechanisms and neuralimmune-endocrine pathways may be involved in cancer-associated depression, including chronic stress responses, tissue damages, and inflammatory mediators (Smith 2015). On the other hand, psychotherapeutic interventions have been found helpful for relieving the symptoms of depression with the potential effects on disease progression and mortality (Barrera and Spiegel 2014 ).

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