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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 43: Role of Neuro-Immunological Factors in the Pathophysiology of Mood Disorders: Implications for Novel Therapeutics for Treatment Resistant Depression.
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Citations

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Chapter title
Role of Neuro-Immunological Factors in the Pathophysiology of Mood Disorders: Implications for Novel Therapeutics for Treatment Resistant Depression.
Chapter number 43
Book title
Inflammation-Associated Depression: Evidence, Mechanisms and Implications
Published in
Current topics in behavioral neurosciences, September 2016
DOI 10.1007/7854_2016_43
Pubmed ID
Book ISBNs
978-3-31-951151-1, 978-3-31-951152-8
Authors

Anindya Bhattacharya, Wayne C. Drevets

Editors

Robert Dantzer, Lucile Capuron

Abstract

Mood disorders are associated with persistently high rates of morbidity and mortality, despite the widespread availability of antidepressant treatments. One limitation to extant therapeutic options has been that nearly all approved antidepressant pharmacotherapies exert a similar primary action of blocking monoamine transporters, and few options exist for transitioning treatment resistant patients to alternatives with distinct mechanisms. An emerging area of science that promises novel pathways to antidepressant and mood-stabilizing therapies has followed from evidence that immunological factors play major roles in the pathophysiology of at least some mood disorder subtypes. Here we review evidence that the compounds that reduce the release or signaling of neuroactive cytokines, particularly IL-1β, IL-6, and TNF-α, can exert antidepressant effects in subgroups of depressed patients who are identified by blood-based biomarkers associated with inflammation. Within this context we discuss the role of microglia in central neuroinflammation, and the interaction between the peripheral immune system and the central synaptic microenvironment during and after neuroinflammation. Finally we review data using preclinical neuroinflammation models that produce depression-like behaviors in experimental animals to guide the discovery of novel neuro-immune drug targets.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 11 22%
Student > Master 10 20%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Other 7 14%
Unknown 4 8%
Readers by discipline Count As %
Neuroscience 11 22%
Medicine and Dentistry 11 22%
Psychology 7 14%
Agricultural and Biological Sciences 5 10%
Chemistry 2 4%
Other 6 12%
Unknown 9 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2017.
All research outputs
#6,463,782
of 8,903,958 outputs
Outputs from Current topics in behavioral neurosciences
#199
of 302 outputs
Outputs of similar age
#165,377
of 256,301 outputs
Outputs of similar age from Current topics in behavioral neurosciences
#3
of 6 outputs
Altmetric has tracked 8,903,958 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 302 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.