Analysis of human brain RNA-seq data reveals combined effects of 4 types of RNA modifications and 18 types of programmed cell death on Alzheimer's disease.

IF 6.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Ke Ye, Xinyu Han, Mengjie Tian, Lulu Liu, Xu Gao, Qing Xia, Dayong Wang
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Abstract

Background: RNA modification plays a critical role in Alzheimer's disease (AD) by modulating the expression and function of AD-related genes, thereby affecting AD occurrence and progression. Programmed cell death is closely related to neuronal death and associated with neuronal loss and cognitive function changes in AD. However, the mechanism of their joint action on AD remains unknown and requires further exploration.

Methods: We used the MSBB RNA-seq dataset to analyze the correlation between RNA modification, programmed cell death, and AD. We used combined studies of RNA modification and programmed cell death to distinguish subgroups of patients, and the results highlight the strong correlation between RNA modification-related programmed cell death and AD. A weighted gene co-expression network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. Finally, by combining unsupervised consensus clustering, gene co-expression networks, and machine learning algorithms, an RNA modification-related programmed cell death network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. An RNA modification-related programmed cell death risk score was calculated to predict the occurrence of AD.

Results: RPCD-related genes classified patients into subgroups with distinct clinical characteristics. Nineteen key genes were identified and an RPCD risk score was constructed based on the key genes. This score can be used for the diagnosis of AD and the assessment of disease progression in patients. The diagnostic efficacy of the RPCD risk score and the key genes was validated in the ROSMAP, GEO, and ADNI datasets.

Conclusion: This study uncovered that RNA modification-related PCD is of significance for AD progression and early prediction, providing insights from a new perspective for the study of disease mechanisms in AD.

人脑RNA-seq数据分析揭示了4种类型的RNA修饰和18种类型的程序性细胞死亡对阿尔茨海默病的联合作用。
背景:RNA修饰通过调节AD相关基因的表达和功能,从而影响AD的发生和进展,在AD的发病过程中起着至关重要的作用。程序性细胞死亡与神经元死亡密切相关,并与阿尔茨海默病的神经元丧失和认知功能改变有关。然而,它们共同作用于AD的机制尚不清楚,需要进一步探索。方法:我们使用MSBB RNA-seq数据集分析RNA修饰、程序性细胞死亡和AD之间的相关性。我们使用RNA修饰和程序性细胞死亡的联合研究来区分患者亚组,结果强调了RNA修饰相关的程序性细胞死亡与AD之间的强相关性。构建加权基因共表达网络,确定程序性细胞死亡基因在关键模块中的关键作用。最后,结合无监督共识聚类、基因共表达网络和机器学习算法,构建了RNA修饰相关的程序性细胞死亡网络,并确定了程序性细胞死亡基因在关键模块中的关键作用。计算RNA修饰相关的程序性细胞死亡风险评分来预测AD的发生。结果:rpcd相关基因将患者分为不同的亚组,具有不同的临床特征。鉴定出19个关键基因,并根据关键基因构建RPCD风险评分。该评分可用于AD的诊断和患者疾病进展的评估。在ROSMAP、GEO和ADNI数据集中验证RPCD风险评分和关键基因的诊断效果。结论:本研究揭示了RNA修饰相关PCD在AD的进展和早期预测中具有重要意义,为AD的发病机制研究提供了新的视角。
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来源期刊
Journal of Translational Medicine
Journal of Translational Medicine 医学-医学:研究与实验
CiteScore
10.00
自引率
1.40%
发文量
537
审稿时长
1 months
期刊介绍: The Journal of Translational Medicine is an open-access journal that publishes articles focusing on information derived from human experimentation to enhance communication between basic and clinical science. It covers all areas of translational medicine.
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