Cortical morphometric vulnerability to generalised epilepsy reflects chromosome‐ and cell type‐specific transcriptomic signatures

• Published in: Neuropathology and applied neurobiology 2023-02, Vol.49 (1), p.e12857-n/a
• Main Authors: Li, Jiao, Keller, Simon S., Seidlitz, Jakob, Chen, Huafu, Li, Bing, Weng, Yifei, Meng, Yao, Yang, Siqi, Xu, Qiang, Zhang, Qirui, Yang, Fang, Lu, Guangming, Bernhardt, Boris C., Zhang, Zhiqiang, Liao, Wei
• Format: Article
• Language: English
• Subjects: Brain; Brain - pathology; cell type‐specific transcription; Chromosomes; chromosome‐specific transcription; DNA microarrays; Epilepsy; Epilepsy, Generalized - genetics; Epilepsy, Generalized - metabolism; Epilepsy, Generalized - pathology; Gene expression; genetic generalised epilepsy; Humans; Magnetic resonance imaging; Medical imaging; morphometric similarity network; Neuroimaging; regional gene expression; Seizures; Seizures - pathology; Synapses; Transcriptome; Transcriptomics
• ISSN: 0305-1846; 1365-2990
• DOI: 10.1111/nan.12857

Aims Generalised epilepsy is thought to involve distributed brain networks. However, the molecular and cellular factors that render different brain regions more vulnerable to epileptogenesis remain largely unknown. We aimed to investigate epilepsy‐related morphometric similarity network (MSN) abnormalities at the macroscale level and their relationships with microscale gene expressions at the microscale level. Methods We compared the MSN of genetic generalised epilepsy with generalised tonic–clonic seizure patients (GGE‐GTCS, n = 101) to demographically matched healthy controls (HC, n = 150). Cortical MSNs were estimated by combining seven morphometric features derived from structural magnetic resonance imaging for each individual. Regional gene expression profiles were derived from brain‐wide microarray measurements provided by the Allen Human Brain Atlas. Results GGE‐GTCS patients exhibited decreased regional MSNs in primary motor, prefrontal and temporal regions and increases in occipital, insular and posterior cingulate cortices, when compared with the HC. These case–control neuroimaging differences were validated using split‐half analyses and were not affected by medication or drug response effects. When assessing associations with gene expression, genes associated with GGE‐GTCS‐related MSN differences were enriched in several biological processes, including ‘synapse organisation’, ‘neurotransmitter transport’ pathways and excitatory/inhibitory neuronal cell types. Collectively, the GGE‐GTCS‐related cortical vulnerabilities were associated with chromosomes 4, 5, 11 and 16 and were dispersed bottom‐up at the cellular, pathway and disease levels, which contributed to epileptogenesis, suggesting diverse neurobiologically relevant enrichments in GGE‐GTCS. Conclusions By bridging the gaps between transcriptional signatures and in vivo neuroimaging, we highlighted the importance of using MSN abnormalities of the human brain in GGE‐GTCS patients to investigate disease‐relevant genes and biological processes. The molecular and cellular factors that render different brain regions more vulnerable to epileptogenesis remain largely unknown. Li et al. investigated epilepsy‐related morphometric similarity network (MSN) from MRI data. And then, we linked these macroscale morphometric abnormalities to microscale brain‐wide gene expression from cell types to chromosomes to pathways. We thus highlighted chromosome‐ and cell‐type‐specific transcriptomic signatures of co