South Australian Genomics Centre, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia.
Alzheimer's Disease Genetics Laboratory, School of Biological Sciences, The University of Adelaide, North Terrace, Adelaide, SA, Australia.
J Alzheimers Dis. 2021;84(4):1597-1630. doi: 10.3233/JAD-210200.
Iron trafficking and accumulation is associated with Alzheimer's disease (AD) pathogenesis. However, the role of iron dyshomeostasis in early disease stages is uncertain. Currently, gene expression changes indicative of iron dyshomeostasis are not well characterized, making it difficult to explore these in existing datasets.
To identify sets of genes predicted to contain iron responsive elements (IREs) and use these to explore possible iron dyshomeostasis-associated gene expression responses in AD.
Comprehensive sets of genes containing predicted IRE or IRE-like motifs in their 3' or 5' untranslated regions (UTRs) were identified in human, mouse, and zebrafish reference transcriptomes. Further analyses focusing on these genes were applied to a range of cultured cell, human, mouse, and zebrafish gene expression datasets.
IRE gene sets are sufficiently sensitive to distinguish not only between iron overload and deficiency in cultured cells, but also between AD and other pathological brain conditions. Notably, changes in IRE transcript abundance are among the earliest observable changes in zebrafish familial AD (fAD)-like brains, preceding other AD-typical pathologies such as inflammatory changes. Unexpectedly, while some IREs in the 3' untranslated regions of transcripts show significantly increased stability under iron deficiency in line with current assumptions, many such transcripts instead display decreased stability, indicating that this is not a generalizable paradigm.
Our results reveal IRE gene expression changes as early markers of the pathogenic process in fAD and are consistent with iron dyshomeostasis as an important driver of this disease. Our work demonstrates how differences in the stability of IRE-containing transcripts can be used to explore and compare iron dyshomeostasis-associated gene expression responses across different species, tissues, and conditions.
铁转运和积累与阿尔茨海默病(AD)的发病机制有关。然而,铁动态失衡在疾病早期阶段的作用尚不确定。目前,铁动态失衡的基因表达变化的指示物尚不清楚,因此难以在现有数据集中进行探索。
确定一组预测含有铁反应元件(IRE)的基因,并利用这些基因来探索 AD 中可能存在的铁动态失衡相关基因表达反应。
在人类、小鼠和斑马鱼参考转录组中鉴定出包含预测的 IRE 或 IRE 样基序的综合基因集。进一步的分析集中在这些基因上,并应用于一系列培养细胞、人类、小鼠和斑马鱼基因表达数据集。
IRE 基因集足够敏感,不仅可以区分培养细胞中的铁过载和缺乏,还可以区分 AD 和其他病理性大脑状况。值得注意的是,IRE 转录物丰度的变化是在具有家族性 AD(fAD)样大脑的斑马鱼中最早可观察到的变化之一,早于其他 AD 典型的病理学变化,如炎症变化。出乎意料的是,虽然一些位于转录物 3'非翻译区的 IRE 在铁缺乏下的稳定性显著增加,与当前的假设一致,但许多这样的转录物的稳定性反而降低,表明这不是一个普遍的范例。
我们的研究结果揭示了 IRE 基因表达变化作为 fAD 发病过程的早期标志物,并且与铁动态失衡作为该疾病的重要驱动因素相一致。我们的工作表明,如何利用 IRE 内含子转录物的稳定性差异来探索和比较不同物种、组织和条件下的铁动态失衡相关基因表达反应。