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

癫痫发生 神经科学 神经影像学 生物 癫痫 心理学
作者
Jiao Li,Simon S. Keller,Jakob Seidlitz,Huafu Chen,Bing Li,Yifei Weng,Yao Meng,Siqi Yang,Qiang Xu,Qirui Zhang,Fang Yang,Guangming Lu,Boris C. Bernhardt,Zhiqiang Zhang,Wei Liao
出处
期刊:Neuropathology and Applied Neurobiology [Wiley]
卷期号:49 (1) 被引量:10
标识
DOI:10.1111/nan.12857
摘要

Abstract 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.
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