Glial Markers of Suicidal Behavior in the Human Brain-A Systematic Review of Postmortem Studies.
Mana YamamotoMai SakaiZhiqian YuMiharu NakanishiHatsumi YoshiiPublished in: International journal of molecular sciences (2024)
Suicide is a major public health priority, and its molecular mechanisms appear to be related to glial abnormalities and specific transcriptional changes. This study aimed to identify and synthesize evidence of the relationship between glial dysfunction and suicidal behavior to understand the neurobiology of suicide. As of 26 January 2024, 46 articles that met the inclusion criteria were identified by searching PubMed and ISI Web of Science. Most postmortem studies, including 30 brain regions, have determined no density or number of total Nissl-glial cell changes in suicidal patients with major psychiatric disorders. There were 17 astrocytic, 14 microglial, and 9 oligodendroglial studies using specific markers of each glial cell and further on their specific gene expression. Those studies suggest that astrocytic and oligodendroglial cells lost but activated microglia in suicides with affective disorder, bipolar disorders, major depression disorders, or schizophrenia in comparison with non-suicided patients and non-psychiatric controls. Although the data from previous studies remain complex and cannot fully explain the effects of glial cell dysfunction related to suicidal behaviors, they provide risk directions potentially leading to suicide prevention.
Keyphrases
- neuropathic pain
- public health
- gene expression
- depressive symptoms
- case control
- single cell
- bipolar disorder
- cell therapy
- end stage renal disease
- spinal cord
- oxidative stress
- spinal cord injury
- inflammatory response
- chronic kidney disease
- induced apoptosis
- mental health
- newly diagnosed
- ejection fraction
- machine learning
- mesenchymal stem cells
- stem cells
- transcription factor
- peritoneal dialysis
- prognostic factors
- lipopolysaccharide induced
- tyrosine kinase
- white matter
- signaling pathway
- cell cycle arrest
- artificial intelligence
- patient reported outcomes
- brain injury
- big data
- heat stress