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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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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Citations

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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.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 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 108 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 15%
Student > Bachelor 17 15%
Student > Ph. D. Student 14 13%
Other 8 7%
Student > Doctoral Student 7 6%
Other 11 10%
Unknown 36 33%
Readers by discipline Count As %
Medicine and Dentistry 17 15%
Neuroscience 12 11%
Nursing and Health Professions 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Biochemistry, Genetics and Molecular Biology 6 5%
Other 14 13%
Unknown 46 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 21 May 2023.
All research outputs
#1,488,551
of 23,803,225 outputs
Outputs from Current topics in behavioral neurosciences
#53
of 501 outputs
Outputs of similar age
#27,948
of 338,689 outputs
Outputs of similar age from Current topics in behavioral neurosciences
#3
of 12 outputs
Altmetric has tracked 23,803,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 501 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.