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Psychoneuroimmunology

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Cover of 'Psychoneuroimmunology'

Table of Contents

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    Book Overview
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    Chapter 1 The role of psychoneuroimmunology in personalized and systems medicine.
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    Chapter 2 Psychoneuroimmunology: the experiential dimension.
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    Chapter 3 Psychoneuroimmunology
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    Chapter 4 Immune Cells Listen to What Stress Is Saying: Neuroendocrine Receptors Orchestrate Immune Function
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    Chapter 5 Physical Activity, Stress Reduction, and Mood: Insight into Immunological Mechanisms
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    Chapter 6 Translational implications of inflammatory biomarkers and cytokine networks in psychoneuroimmunology.
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    Chapter 7 Cytokines as Potential Biomarkers for Parkinson’s Disease: A Multiplex Approach
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    Chapter 8 Exploring the diagnostic potential of immune biomarker coexpression in gulf war illness.
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    Chapter 9 Neuroimmune Mechanisms of Depression in Heart Failure
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    Chapter 10 A Reinterpretation of the Pathogenesis and Cure of Cancer According to the Psychoneuroimmunological Discoveries
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    Chapter 11 Aging Microglia: Relevance to Cognition and Neural Plasticity
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    Chapter 12 Autism spectrum disorders: from immunity to behavior.
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    Chapter 13 Mouse Testing Methods in Psychoneuroimmunology: An Overview of How to Measure Sickness, Depressive/Anxietal, Cognitive, and Physical Activity Behaviors
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    Chapter 14 The MRL Model: An Invaluable Tool in Studies of Autoimmunity-Brain Interactions.
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    Chapter 15 Interleukin-2 and the Brain: Dissecting Central Versus Peripheral Contributions Using Unique Mouse Models
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    Chapter 16 Psychoneuroimmunology and natural killer cells: the chromium release whole blood assay.
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    Chapter 17 The Application of PET Imaging in Psychoneuroimmunology Research
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    Chapter 18 The vaccination model in psychoneuroimmunology research: a review.
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    Chapter 19 Using Vaccinations to Assess In Vivo Immune Function in Psychoneuroimmunology
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    Chapter 20 Translational Bioinformatics in Psychoneuroimmunology: Methods and Applications
Attention for Chapter 6: Translational implications of inflammatory biomarkers and cytokine networks in psychoneuroimmunology.
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Chapter title
Translational implications of inflammatory biomarkers and cytokine networks in psychoneuroimmunology.
Chapter number 6
Book title
Psychoneuroimmunology
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-62703-071-7_6
Pubmed ID
Book ISBNs
978-1-62703-070-0, 978-1-62703-071-7
Authors

Qing Yan, Yan, Qing

Abstract

Developments in psychoneuroimmunology (PNI) need to be translated into personalized medicine to achieve better clinical outcomes. One of the most critical steps in this translational process is to identify systemic biomarkers for better diagnosis and treatment. Applications of systems biology approaches in PNI would enable the insights into the correlations among various systems and different levels for the identification of the basic elements of the psychophysiological framework. Among the potential PNI biomarkers, inflammatory markers deserve special attention as they play a pivotal role linking various health conditions and disorders. The elucidation of inflammatory markers, cytokine networks, and immune-brain-behavior interactions may help establish PNI profiles for the identification of potential targets for personalized interventions in at risk populations. The understanding of the general systemic pathways among different disorders may contribute to the transition from the disease-centered medicine to patient-centered medicine. Integrative strategies targeting these factors and pathways would be useful for the prevention and treatment of a spectrum of diseases that share the common links. Examples of the translational implications of potential PNI biomarkers and networks in diseases including depression, Alzheimer's disease, obesity, cardiovascular disease, stroke, and HIV are discussed in details.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Master 9 17%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 4 8%
Other 3 6%
Other 7 13%
Unknown 12 23%
Readers by discipline Count As %
Psychology 15 29%
Medicine and Dentistry 13 25%
Neuroscience 3 6%
Social Sciences 2 4%
Agricultural and Biological Sciences 2 4%
Other 4 8%
Unknown 13 25%