Jiahui Hou, Jonathan L Hess, Chunling Zhang, Jeroen G J van Rooij, Gentry C Hearn, Chun Chieh Fan, Stephen V Faraone, Christine Fennema-Notestine, Shu-Ju Lin, Valentina Escott-Price, Sudha Seshadri, Peter Holmans, Ming T Tsuang, William S Kremen, Chris Gaiteri, Stephen J Glatt
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引用次数: 0
摘要
阿尔茨海默病(AD)转录组研究的全基因组综合性质应能提供可靠的疾病分子状态描述。然而,转录组研究提名的基因和分子系统并不总是重叠的。即使结果一致,也不清楚这些观察结果是否代表了许多研究的真正共识。有人提出了几种变异来源来解释这种变异性,包括原发组织和队列类型,但其基础仍不确定。为了解决这种变异性并提取可靠的结果,我们利用了所有公开的 AD 血液或脑部转录组数据集,其中包括 24 项脑部研究和 8 项血液研究,前者包含来自 6 个不同脑区的 4007 份样本,后者包含 1566 份样本。我们确定了跨脑区的AD相关基因共识、跨血液和大脑的AD相关基因集、可通用的机器学习和线性评分分类器,以及AD数据集中生物多样性的重要贡献者。虽然血液和大脑中的AD相关基因没有明显重叠,但我们的研究结果突显了血液和大脑中15个共同的AD失调过程。前五个最明显的失调过程是DNA复制、蛋白质代谢、蛋白质定位、细胞周期和细胞程序性死亡。相反,针对不同研究之间的不一致,我们发现大规模基因共调模式可以解释 AD 数据集中的很大一部分变异。总之,这项研究对在大量血液和大脑中的 AD 转录组研究中一致发现的基因和分子系统进行了排列和鉴定,提供了潜在的候选生物标志物和治疗靶点。
Meta-Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross-Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross-Study Heterogeneity.
The comprehensive genome-wide nature of transcriptome studies in Alzheimer's disease (AD) should provide a reliable description of disease molecular states. However, the genes and molecular systems nominated by transcriptomic studies do not always overlap. Even when results do align, it is not clear if those observations represent true consensus across many studies. A couple of sources of variation have been proposed to explain this variability, including tissue-of-origin and cohort type, but its basis remains uncertain. To address this variability and extract reliable results, we utilized all publicly available blood or brain transcriptomic datasets of AD, comprised of 24 brain studies with 4007 samples from six different brain regions, and eight blood studies with 1566 samples. We identified a consensus of AD-associated genes across brain regions and AD-associated gene-sets across blood and brain, generalizable machine learning and linear scoring classifiers, and significant contributors to biological diversity in AD datasets. While AD-associated genes did not significantly overlap between blood and brain, our findings highlighted 15 dysregulated processes shared across blood and brain in AD. The top five most significantly dysregulated processes were DNA replication, metabolism of proteins, protein localization, cell cycle, and programmed cell death. Conversely, addressing the discord across studies, we found that large-scale gene co-regulation patterns can account for a significant fraction of variability in AD datasets. Overall, this study ranked and characterized a compilation of genes and molecular systems consistently identified across a large assembly of AD transcriptome studies in blood and brain, providing potential candidate biomarkers and therapeutic targets.
期刊介绍:
Neuropsychiatric Genetics, Part B of the American Journal of Medical Genetics (AJMG) , provides a forum for experimental and clinical investigations of the genetic mechanisms underlying neurologic and psychiatric disorders. It is a resource for novel genetics studies of the heritable nature of psychiatric and other nervous system disorders, characterized at the molecular, cellular or behavior levels. Neuropsychiatric Genetics publishes eight times per year.