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揭示与阿尔茨海默病中海马基因表达谱变化相关的认知能力下降的分子生物标志物。

Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease.

机构信息

Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia.

出版信息

PLoS One. 2010 Apr 13;5(4):e10153. doi: 10.1371/journal.pone.0010153.

Abstract

BACKGROUND

Alzheimer's disease (AD) is characterized by a neurodegenerative progression that alters cognition. On a phenotypical level, cognition is evaluated by means of the MiniMental State Examination (MMSE) and the post-mortem examination of Neurofibrillary Tangle count (NFT) helps to confirm an AD diagnostic. The MMSE evaluates different aspects of cognition including orientation, short-term memory (retention and recall), attention and language. As there is a normal cognitive decline with aging, and death is the final state on which NFT can be counted, the identification of brain gene expression biomarkers from these phenotypical measures has been elusive.

METHODOLOGY/PRINCIPAL FINDINGS: We have reanalysed a microarray dataset contributed in 2004 by Blalock et al. of 31 samples corresponding to hippocampus gene expression from 22 AD subjects of varying degree of severity and 9 controls. Instead of only relying on correlations of gene expression with the associated MMSE and NFT measures, and by using modern bioinformatics methods based on information theory and combinatorial optimization, we uncovered a 1,372-probe gene expression signature that presents a high-consensus with established markers of progression in AD. The signature reveals alterations in calcium, insulin, phosphatidylinositol and wnt-signalling. Among the most correlated gene probes with AD severity we found those linked to synaptic function, neurofilament bundle assembly and neuronal plasticity.

CONCLUSIONS/SIGNIFICANCE: A transcription factors analysis of 1,372-probe signature reveals significant associations with the EGR/KROX family of proteins, MAZ, and E2F1. The gene homologous of EGR1, zif268, Egr-1 or Zenk, together with other members of the EGR family, are consolidating a key role in the neuronal plasticity in the brain. These results indicate a degree of commonality between putative genes involved in AD and prion-induced neurodegenerative processes that warrants further investigation.

摘要

背景

阿尔茨海默病(AD)的特征是神经退行性进展改变认知。在表型水平上,通过 MiniMental State Examination(MMSE)评估认知,神经原纤维缠结(NFT)的死后计数有助于确认 AD 诊断。MMSE 评估认知的不同方面,包括定向、短期记忆(保留和回忆)、注意力和语言。由于随着年龄的增长认知会正常下降,而死亡是 NFT 可以计数的最终状态,因此从这些表型测量中识别大脑基因表达生物标志物一直难以捉摸。

方法/主要发现:我们重新分析了 2004 年 Blalock 等人贡献的微阵列数据集,该数据集包含 31 个样本,对应于 22 个 AD 患者和 9 个对照的海马体基因表达。我们不仅依赖于基因表达与相关 MMSE 和 NFT 测量的相关性,还使用了基于信息论和组合优化的现代生物信息学方法,发现了一个 1372 个探针的基因表达特征,该特征与 AD 进展的既定标志物高度一致。该特征揭示了钙、胰岛素、磷脂酰肌醇和 Wnt 信号通路的改变。在与 AD 严重程度最相关的基因探针中,我们发现了与突触功能、神经丝束组装和神经元可塑性相关的基因探针。

结论/意义:对 1372 个探针特征的转录因子分析显示与 EGR/KROX 蛋白家族、MAZ 和 E2F1 存在显著关联。EGR1、zif268、Egr-1 或 Zenk 的同源基因,以及 EGR 家族的其他成员,共同巩固了它们在大脑神经元可塑性中的关键作用。这些结果表明,AD 中涉及的假定基因与朊病毒诱导的神经退行性过程之间存在一定程度的共性,值得进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeb4/2854141/439c7d7a7c88/pone.0010153.g001.jpg

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