Functional Architecture of Brain and Blood Transcriptome Delineate Biological Continuity Between Suicidal Ideation and Suicide.
Shengnan SunQingkun LiuZhaoyu WangYung-Yu HuangM SubletteAndrew DworkGorazd RosoklijaYongchao GeHanga C GalfalvyJ John MannFatemeh HaghighiPublished in: Research square (2023)
Human genetic studies indicate that suicidal ideation and behavior are both heritable. Most studies have examined associations between aberrant gene expression and suicide behavior, but behavior risk is linked to severity of suicidal ideation. Through a gene network approach, this study investigates how gene co-expression patterns are associated with suicidal ideation and severity using RNA-seq data in peripheral blood from 46 live participants with elevated suicidal ideation and 46 with no ideation. Associations with presence and severity of suicidal ideation were found within 18 and 3 co-expressed modules respectively (p < 0.05), not explained by severity of depression. Suicidal ideation presence and severity-related gene modules with enrichment of genes involved in defense against microbial infection, inflammation, and adaptive immune response were identified, and tested using RNA-seq data from postmortem brain that revealed gene expression differences in suicide decedents vs. non-suicides in white matter, but not gray matter. Findings support a role of brain and peripheral blood inflammation in suicide risk, showing that suicidal ideation presence and severity is associated with an inflammatory signature detectable in blood and brain, indicating a biological continuity between ideation and suicidal behavior that may underlie a common heritability.
Keyphrases
- rna seq
- white matter
- single cell
- gene expression
- peripheral blood
- genome wide
- depressive symptoms
- resting state
- oxidative stress
- immune response
- copy number
- dna methylation
- multiple sclerosis
- endothelial cells
- functional connectivity
- cerebral ischemia
- poor prognosis
- dendritic cells
- genome wide identification
- long non coding rna
- transcription factor
- innate immune
- genome wide analysis