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Inflammation-Associated Depression: Evidence, Mechanisms and Implications

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Cover of 'Inflammation-Associated Depression: Evidence, Mechanisms and Implications'

Table of Contents

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    Book Overview
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    Chapter 2 Evidence for Inflammation-Associated Depression
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    Chapter 5 Suicidality and Activation of the Kynurenine Pathway of Tryptophan Metabolism.
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    Chapter 6 Role of the Kynurenine Metabolism Pathway in Inflammation-Induced Depression: Preclinical Approaches.
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    Chapter 7 Depression in Autoimmune Diseases.
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    Chapter 12 Role of Kynurenine Metabolism Pathway Activation in Major Depressive Disorders.
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    Chapter 13 The Role of Dopamine in Inflammation-Associated Depression: Mechanisms and Therapeutic Implications
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    Chapter 14 Role of Inflammation in the Development of Neuropsychiatric Symptom Domains: Evidence and Mechanisms.
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    Chapter 19 Are Non-steroidal Anti-Inflammatory Drugs Clinically Suitable for the Treatment of Symptoms in Depression-Associated Inflammation?
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    Chapter 23 Mechanisms of Inflammation-Associated Depression: Immune Influences on Tryptophan and Phenylalanine Metabolisms.
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    Chapter 25 Stress-Induced Microglia Activation and Monocyte Trafficking to the Brain Underlie the Development of Anxiety and Depression.
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    Chapter 26 The Promise and Limitations of Anti-Inflammatory Agents for the Treatment of Major Depressive Disorder
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    Chapter 28 Inflammation-Associated Co-morbidity Between Depression and Cardiovascular Disease
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    Chapter 30 Brain Structures Implicated in Inflammation-Associated Depression
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    Chapter 31 Does Diet Matter? The Use of Polyunsaturated Fatty Acids (PUFAs) and Other Dietary Supplements in Inflammation-Associated Depression.
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    Chapter 37 Immune-to-Brain Communication Pathways in Inflammation-Associated Sickness and Depression
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    Chapter 40 Inflammation Effects on Brain Glutamate in Depression: Mechanistic Considerations and Treatment Implications.
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    Chapter 43 Role of Neuro-Immunological Factors in the Pathophysiology of Mood Disorders: Implications for Novel Therapeutics for Treatment Resistant Depression.
Attention for Chapter 14: Role of Inflammation in the Development of Neuropsychiatric Symptom Domains: Evidence and Mechanisms.
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Chapter title
Role of Inflammation in the Development of Neuropsychiatric Symptom Domains: Evidence and Mechanisms.
Chapter number 14
Book title
Inflammation-Associated Depression: Evidence, Mechanisms and Implications
Published in
Current topics in behavioral neurosciences, May 2016
DOI 10.1007/7854_2016_14
Pubmed ID
Book ISBNs
978-3-31-951151-1, 978-3-31-951152-8
Authors

Lucile Capuron, Nathalie Castanon

Editors

Robert Dantzer, Lucile Capuron

Abstract

The finding that inflammatory markers are elevated in various neuropsychiatric disorders raises the need of identifying the precise research domain criteria driven by inflammation. Based on the model of inflammation-induced depression it has been possible to identify distinct pathophysiological pathways leading to alterations in neurotransmitter metabolism with specific relevance for the development of symptom constellations that are common to various neuropsychiatric and neurodegenerative conditions. Moreover, converging data indicate that these pathways interact with relevant vulnerability factors and modulatory systems to ultimately impact the presentation of inflammation-driven neuropsychiatric symptoms. Altogether, these findings make inflammation a key pivotal factor in psychopathology. Developing treatments that target inflammation and modulate the pathways and systems by which inflammatory processes selectively affect brain function will be of particular relevance for the treatment of specific neurobehavioral symptom domains.

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 %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 8 15%
Student > Master 8 15%
Other 3 6%
Professor > Associate Professor 3 6%
Other 5 10%
Unknown 13 25%
Readers by discipline Count As %
Neuroscience 8 15%
Psychology 6 12%
Agricultural and Biological Sciences 5 10%
Medicine and Dentistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 12%
Unknown 22 42%