Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
School of Medical Imaging, North Sichuan Medical College, Nanchong, 637100, China.
Mol Neurobiol. 2024 Aug;61(8):5353-5368. doi: 10.1007/s12035-023-03900-z. Epub 2024 Jan 8.
Alzheimer's disease (AD) is a neurodegenerative disease with a long incubation period. While extensive research has led to the construction of long non-coding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) regulatory networks, which primarily derived from differential analyses between clinical AD patients and control individuals or mice, there remains a critical knowledge gap pertaining to the dynamic alterations in transcript expression profiles that occur with age, spanning from the pre-symptomatic stage to the onset of AD. In the present study, we examined the transcriptomic changes in AD model mice at three distinct stages: the unaffected (un-) stage, the pre-onset stage, and the late-onset stage, and identified 14, 57, and 99 differentially expressed mRNAs (DEmRs) in AD model mice at 3, 6, and 12 months, respectively. Among these, we pinpointed 16 mRNAs closely associated with inflammation and immunity and excavated their lncRNA-mRNA regulatory network based on a comprehensive analysis. Notably, our preliminary analysis suggested that four lncRNAs (NONMMUT102943, ENSMUST00000160309, NONMMUT083044, and NONMMUT126468), eight miRNAs (miR-34a-5p, miR-22-5p, miR-302a/b-3p, miR-340-5p, miR-376a/b-5p, and miR-487b-5p), and four mRNAs (C1qa, Cd68, Ctss, and Slc11a1) may play pivotal roles in orchestrating immune and inflammatory responses during the early stages of AD. Our study has unveiled age-related AD risk genes, and provided an analytical framework for constructing lncRNA-mRNA networks using time series data and correlation analysis. Most notably, we have successfully constructed a comprehensive regulatory ceRNA network comprising genes intricately linked to inflammatory and immune functions in AD.
阿尔茨海默病(AD)是一种具有长潜伏期的神经退行性疾病。虽然广泛的研究已经构建了长非编码 RNA(lncRNA)相关的竞争性内源性 RNA(ceRNA)调控网络,这些网络主要来源于 AD 患者与对照个体或小鼠之间的差异分析,但对于从 AD 前症状阶段到发病阶段的年龄相关转录表达谱的动态变化,仍然存在一个关键的知识空白。在本研究中,我们检查了三个不同阶段的 AD 模型小鼠的转录组变化:无症状(un-)阶段、发病前阶段和发病后晚期阶段,并分别在 3、6 和 12 个月时发现 AD 模型小鼠中 14、57 和 99 个差异表达的 mRNAs(DEmRs)。其中,我们确定了 16 个与炎症和免疫密切相关的 mRNAs,并基于全面分析挖掘了它们的 lncRNA-mRNA 调控网络。值得注意的是,我们的初步分析表明,四个 lncRNAs(NONMMUT102943、ENSMUST00000160309、NONMMUT083044 和 NONMMUT126468)、八个 miRNAs(miR-34a-5p、miR-22-5p、miR-302a/b-3p、miR-340-5p、miR-376a/b-5p 和 miR-487b-5p)和四个 mRNAs(C1qa、Cd68、Ctss 和 Slc11a1)可能在 AD 早期的免疫和炎症反应中发挥关键作用。我们的研究揭示了与年龄相关的 AD 风险基因,并提供了一个使用时间序列数据和相关分析构建 lncRNA-mRNA 网络的分析框架。最值得注意的是,我们成功构建了一个包含与 AD 中炎症和免疫功能密切相关的基因的综合调控 ceRNA 网络。