Boudriot Emanuel, Stephan Marius, Rabe Finn, Smigielski Lukasz, Schmitt Andrea, Falkai Peter, Ziller Michael J, Rossner Moritz J, Homan Philipp, Papiol Sergi, Raabe Florian J
Max Planck Institute of Psychiatry, Munich, Germany.
Department of Psychiatry and Psychotherapy, Ludwig Maximilian University Hospital, Ludwig Maximilian University Munich, Munich, Germany.
JAMA Psychiatry. 2025 Mar 1;82(3):285-295. doi: 10.1001/jamapsychiatry.2024.4230.
As an accessible part of the central nervous system, the retina provides a unique window to study pathophysiological mechanisms of brain disorders in humans. Imaging and electrophysiological studies have revealed retinal alterations across several neuropsychiatric and neurological disorders, but it remains largely unclear which specific cell types and biological mechanisms are involved.
To determine whether specific retinal cell types are affected by genomic risk for neuropsychiatric and neurological disorders and to explore the mechanisms through which genomic risk converges in these cell types.
DESIGN, SETTING, AND PARTICIPANTS: This genetic association study combined findings from genome-wide association studies in schizophrenia, bipolar disorder, major depressive disorder, multiple sclerosis, Parkinson disease, Alzheimer disease, and stroke with retinal single-cell transcriptomic datasets from humans, macaques, and mice. To identify susceptible cell types, Multi-Marker Analysis of Genomic Annotation (MAGMA) cell-type enrichment analyses were applied and subsequent pathway analyses performed. The cellular top hits were translated to the structural level using retinal optical coherence tomography (acquired between 2009 and 2010) and genotyping data in the large population-based UK Biobank cohort study. Data analysis was conducted between 2022 and 2024.
Cell type-specific enrichment of genetic risk loading for neuropsychiatric and neurological disorder traits in the gene expression profiles of retinal cells.
Expression profiles of amacrine cells (interneurons within the retina) were robustly enriched in schizophrenia genetic risk across mammalian species and in different developmental stages. This enrichment was primarily driven by genes involved in synapse biology. Moreover, expression profiles of retinal immune cell populations were enriched in multiple sclerosis genetic risk. No consistent cell-type associations were found for bipolar disorder, major depressive disorder, Parkinson disease, Alzheimer disease, or stroke. On the structural level, higher polygenic risk for schizophrenia was associated with thinning of the ganglion cell inner plexiform layer, which contains dendrites and synaptic connections of amacrine cells (B, -0.09; 95% CI, -0.16 to -0.03; P = .007; n = 36 349; mean [SD] age, 57.50 [8.00] years; 19 859 female [54.63%]). Higher polygenic risk for multiple sclerosis was associated with increased thickness of the retinal nerve fiber layer (B, 0.06; 95% CI, 0.02 to 0.10; P = .007; n = 36 371; mean [SD] age, 57.51 [8.00] years; 19 843 female [54.56%]).
This study provides novel insights into the cellular underpinnings of retinal alterations in neuropsychiatric and neurological disorders and highlights the retina as a potential proxy to study synaptic pathology in schizophrenia.
视网膜作为中枢神经系统易于观察的一部分,为研究人类脑部疾病的病理生理机制提供了独特窗口。影像学和电生理学研究已揭示了多种神经精神疾病和神经系统疾病中的视网膜改变,但很大程度上仍不清楚涉及哪些特定细胞类型和生物学机制。
确定特定视网膜细胞类型是否受神经精神疾病和神经系统疾病的基因组风险影响,并探索基因组风险在这些细胞类型中汇聚的机制。
设计、设置和参与者:这项遗传关联研究将精神分裂症、双相情感障碍、重度抑郁症、多发性硬化症、帕金森病、阿尔茨海默病和中风的全基因组关联研究结果与来自人类、猕猴和小鼠的视网膜单细胞转录组数据集相结合。为了识别易感细胞类型,应用了基因组注释多标记分析(MAGMA)细胞类型富集分析并进行了后续通路分析。利用视网膜光学相干断层扫描(于2009年至2010年间获取)和基于人群的大型英国生物银行队列研究中的基因分型数据,将细胞层面的显著发现转化到结构层面。数据分析于2022年至2024年进行。
视网膜细胞基因表达谱中神经精神疾病和神经系统疾病特征的细胞类型特异性遗传风险负荷富集情况。
在哺乳动物物种和不同发育阶段,无长突细胞(视网膜内的中间神经元)的表达谱在精神分裂症遗传风险中显著富集。这种富集主要由参与突触生物学的基因驱动。此外,视网膜免疫细胞群体的表达谱在多发性硬化症遗传风险中富集。在双相情感障碍、重度抑郁症、帕金森病、阿尔茨海默病或中风方面未发现一致的细胞类型关联。在结构层面,精神分裂症较高的多基因风险与神经节细胞内网状层变薄有关,该层包含无长突细胞的树突和突触连接(B,-0.09;95%置信区间,-0.16至-0.03;P = 0.007;n = 36349;平均[标准差]年龄,57.50[8.00]岁;19859名女性[54.63%])。多发性硬化症较高的多基因风险与视网膜神经纤维层厚度增加有关(B,0.06;95%置信区间,0.02至0.10;P = 0.007;n = 36371;平均[标准差]年龄,57.51[8.00]岁;19843名女性[54.56%])。
本研究为神经精神疾病和神经系统疾病中视网膜改变的细胞基础提供了新见解,并突出了视网膜作为研究精神分裂症突触病理学的潜在替代指标。