颜林林 (2024-11-15 23:02):
#paper doi:10.1101/2024.01.18.24301478, medRxiv, Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity. 这是今年1月在medRxiv发出的文章(至今尚未正式发表),来自瑞典卡罗林斯卡学院。关于精神疾病的研究,核磁主要探讨表型或功能相关脑区的定位,基因组学通过大规模人群基因检测和GWAS定位基因和突变,但两者之间尚未能直接联系。现有的人脑单细胞测序数据主要来自健康受试者,虽然能够将脑区与分子机制联系起来,但缺乏疾病相关数据。本研究通过一系列方法(如TDEP和S-LDSC),将GWAS数据与人类单核转录组数据关联,将精神疾病等表型与特定脑区及特定细胞类型联系起来。此外,研究使用fMRI数据对关键脑区(如海马体、杏仁核和前额皮层)的功能连接特性进行了验证,结果支持遗传学和转录组学发现的脑区定位。这一整合方法为理解精神疾病的多基因机制及其大脑定位提供了新的可能性。
Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity
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Abstract:
AbstractUnderstanding the temporal and spatial brain locations etiological for psychiatric disorders is essential for targeted neurobiological research. Integration of genomic insights from genome-wide association studies with single-cell transcriptomics is a powerful approach although past efforts have necessarily relied on mouse atlases. Leveraging a comprehensive atlas of the adult human brain, we prioritized cell types via the enrichment of SNP-heritabilities for brain diseases, disorders, and traits, progressing from individual cell types to brain regions. Our findings highlight specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. Extrapolation of cell-type results to brain regions reveals important patterns for schizophrenia with distinct subregions in the hippocampus and amygdala exhibiting the highest significance. Cerebral cortical regions display similar enrichments despite the known prefrontal dysfunction in those with schizophrenia highlighting the importance of subcortical connectivity. Using functional MRI connectivity from cases with schizophrenia and neurotypical controls, we identified brain networks that distinguished cases from controls that also confirmed involvement of the central and lateral amygdala, hippocampal body, and prefrontal cortex. Our findings underscore the value of single-cell transcriptomics in decoding the polygenicity of psychiatric disorders and offer a promising convergence of genomic, transcriptomic, and brain imaging modalities toward common biological targets.
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<jats:title>摘要</jats:title><jats:p>了解精神疾病病因的大脑时间和空间位置对于有针对性的神经生物学研究至关重要。将来自全基因组关联研究的基因组见解与单细胞转录组学相结合是一种强大的方法,尽管过去的工作必然依赖于小鼠图谱。利用成人大脑的综合图谱,我们通过富集脑部疾病、障碍和性状的 SNP 遗传性来确定细胞类型的优先级,从单个细胞类型发展到大脑区域。我们的研究结果强调了特定神经元簇显着富集精神分裂症、双相情感障碍和重度抑郁症的 SNP 遗传性以及智力、教育和神经质。将细胞类型结果外推到大脑区域揭示了精神分裂症的重要模式,其中海马体和杏仁核中不同的亚区域表现出最高意义。尽管精神分裂症患者存在已知的前额叶功能障碍,但大脑皮层区域表现出类似的丰富,这突出了皮层下连接的重要性。使用来自精神分裂症病例和神经典型对照的功能性 MRI 连接,我们确定了将病例与对照组区分开来的大脑网络,这些病例也证实了中央和外侧杏仁核、海马体和前额叶皮层的参与。我们的研究结果强调了单细胞转录组学在解码精神疾病多基因性方面的价值,并为基因组、转录组和脑成像模式向共同的生物学靶标提供了有希望的融合。</jats:p>
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