Multiple lines of evidence indicate that mood disorders are associated with abnormalities in the brain's cellular composition, especially in glial cells. Considered inert support cells in the past, glial cells are now known to be important for brain function. Treatments for mood disorders enhance glial cell proliferation, and experimental stimulation of cell growth has antidepressant effects in animal models of mood disorders. These findings suggest that the proliferation and survival of glial cells may be important in the pathogenesis of mood disorders and may be possible targets for the development of new treatments. In this article we review the evidence for glial abnormalities in mood disorders, and we discuss glial cell biology and evidence from postmortem studies of mood disorders. The goal is not to carry out a comprehensive review but to selectively discuss existing evidence in support of an argument for the role of glial cells in mood disorders.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336524PMC
http://dx.doi.org/10.1097/HRP.0000000000000060DOI Listing

Publication Analysis

Top Keywords

mood disorders
32
glial cells
16
glial
8
glial abnormalities
8
mood
8
abnormalities mood
8
disorders
8
glial cell
8
cells
5
disorders multiple
4

Similar Publications

Quantifying years of life lost in Australia: a multiple cause of death analysis.

Int J Epidemiol

December 2024

National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.

Background: Deaths in Australia and other high-income countries increasingly involve multiple conditions. However, key burden of disease measures typically only use the underlying cause of death (UC). We quantified sex and cause-specific years of life lost (YLL) based on UC compared with a method integrating multiple causes of death.

View Article and Find Full Text PDF

Inflammatory proteins related to depression in multiple sclerosis: A systematic review and meta-analysis.

Brain Behav Immun Health

February 2025

Mood and Anxiety Disorders Lab, Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia.

Background: Up to 50% of individuals with multiple sclerosis (MS) experience depression. Depression has been accompanied by increases in inflammatory proteins. This meta-analysis summarized the data on inflammatory protein concentrations and level of depression in individuals with MS.

View Article and Find Full Text PDF

Introduction: Psychological abuse continues to be the most frequently reported type of maltreatment among athletes leading to negative mental health such as low mood and self-esteem, increased anxiety, self-harm, and eating disorders. Preliminary evidence suggests athlete satisfaction can influence the perceived outcomes associated with psychological abuse. Despite its negative impacts on athletes, psychological abuse continues to be justified as a tool to enhance athletic performance.

View Article and Find Full Text PDF

Electroacupuncture Alleviates Neuropathic Pain and Negative Emotion in Mice by Regulating Gut Microbiota.

J Pain Res

January 2025

Acupuncture Anesthesia Clinical Research Institute, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.

Background: Neuropathic pain (NP) is a prevalent chronic condition frequently accompanied by adverse emotional states. Previous research has demonstrated the clinical efficacy of electroacupuncture (EA) in mitigating neuropathic pain and its associated mood disorders. Recent studies have underscored a correlation between gut microbiota and both NP and negative emotional states.

View Article and Find Full Text PDF

Emotion recognition plays a crucial role in brain-computer interfaces (BCI) which helps to identify and classify human emotions as positive, negative, and neutral. Emotion analysis in BCI maintains a substantial perspective in distinct fields such as healthcare, education, gaming, and human-computer interaction. In healthcare, emotion analysis based on electroencephalography (EEG) signals is deployed to provide personalized support for patients with autism or mood disorders.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!