Cortical thickness differences are associated with cellular component morphogenesis of astrocytes and excitatory neurons in nonsuicidal self-injuring youth.
Suping CaiZitong GuoXuwen WangKexin HuangKai YuanLiyu HuangPublished in: Cerebral cortex (New York, N.Y. : 1991) (2022)
Nonsuicidal self-injury (NSSI) generally occurs in youth and probably progresses to suicide. An examination of cortical thickness differences (ΔCT) between NSSI individuals and controls is crucial to investigate potential neurobiological correlates. Notably, ΔCT are influenced by specific genetic factors, and a large proportion of cortical thinning is associated with the expression of genes that overlap in astrocytes and pyramidal cells. However, in NSSI youth, the mechanisms underlying the relations between the genetic and cell type-specific transcriptional signatures to ΔCT are unclear. Here, we studied the genetic association of ΔCT in NSSI youth by performing a partial least-squares regression (PLSR) analysis of gene expression data and 3D-T1 brain images of 45 NSSI youth and 75 controls. We extracted the top-10 Gene Ontology terms for the enrichment results of upregulated PLS component 1 genes related to ΔCT to conduct the cell-type classification and enrichment analysis. Enrichment of cell type-specific genes shows that cellular component morphogenesis of astrocytes and excitatory neurons accounts for the observed NSSI-specific ΔCT. We validated the main results in independent datasets to verify the robustness and specificity. We concluded that the brain ΔCT is associated with cellular component morphogenesis of astrocytes and excitatory neurons in NSSI youth.
Keyphrases
- image quality
- dual energy
- genome wide
- computed tomography
- contrast enhanced
- mental health
- physical activity
- gene expression
- young adults
- dna methylation
- magnetic resonance imaging
- copy number
- spinal cord
- deep learning
- machine learning
- transcription factor
- genome wide identification
- induced apoptosis
- magnetic resonance
- optical coherence tomography
- white matter
- big data
- climate change
- single cell
- oxidative stress
- data analysis
- heat shock
- heat shock protein