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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 2: Evidence for Inflammation-Associated Depression
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Chapter title
Evidence for Inflammation-Associated Depression
Chapter number 2
Book title
Inflammation-Associated Depression: Evidence, Mechanisms and Implications
Published in
Current topics in behavioral neurosciences, May 2016
DOI 10.1007/7854_2016_2
Pubmed ID
Book ISBNs
978-3-31-951151-1, 978-3-31-951152-8
Authors

Liu, Celina S, Adibfar, Alexander, Herrmann, Nathan, Gallagher, Damien, Lanctôt, Krista L, Celina S. Liu, Alexander Adibfar, Nathan Herrmann, Damien Gallagher, Krista L. Lanctôt

Editors

Robert Dantzer, Lucile Capuron

Abstract

This chapter explores the evidence supporting inflammation-associated depression. Data to date suggest a bidirectional relationship between inflammation and depression wherein one process can drive the other. A wealth of animal and clinical studies have demonstrated an association between concentrations of pro-inflammatory cytokines - specifically interleukin (IL)-1β, IL-6, and tumor necrosis factor-α - and depressive symptoms. There is also evidence that this pro-inflammatory state is accompanied by aberrant inflammation-related processes including platelet activation factor hyperactivity, oxidative and nitrosative stress, and damage to mitochondria. These complex and interrelated mechanisms can collectively contribute to negative neurobiological outcomes that may, in part, underlie the etiopathology of depression. Mounting evidence has shown a concomitant reduction in both depressive symptoms and pro-inflammatory cytokine concentrations following treatment with pharmacological anti-inflammatory interventions. Taken together, the reviewed preclinical and clinical findings may suggest the existence of a distinct inflammatory subtype of depression in which these patients exhibit unique biochemical and clinical features and may potentially experience improved clinical outcomes with inflammation-targeted pharmacotherapy.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Australia 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Student > Bachelor 13 19%
Student > Ph. D. Student 11 16%
Student > Doctoral Student 7 10%
Other 6 9%
Other 9 13%
Unknown 10 14%
Readers by discipline Count As %
Medicine and Dentistry 14 20%
Neuroscience 9 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Agricultural and Biological Sciences 5 7%
Nursing and Health Professions 5 7%
Other 13 19%
Unknown 19 27%

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 12 October 2016.
All research outputs
#6,456,186
of 8,508,684 outputs
Outputs from Current topics in behavioral neurosciences
#206
of 293 outputs
Outputs of similar age
#175,712
of 252,527 outputs
Outputs of similar age from Current topics in behavioral neurosciences
#3
of 6 outputs
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So far Altmetric has tracked 293 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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