Zhang Chengjie, Zhu Yanbing, Wang Song, Zachory Wei Zheng, Jiang Michael Qize, Zhang Yongbo, Pan Yuhualei, Tao Shaoxin, Li Jimei, Wei Ling
1Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
2Laboratories of Stem Cell Biology and Neural Regeneration and Function Recovery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Aging Dis. 2018 Apr 1;9(2):249-261. doi: 10.14336/AD.2017.0424. eCollection 2018 Apr.
A cascade of pathological processes is triggered in the lesion area after ischemic stroke. Unfortunately, our understanding of these complicated molecular events is incomplete. In this investigation, we sought to better understand the detailed molecular and inflammatory events occurring after ischemic stroke. RNA-seq technology was used to identify whole gene expression profiles at days (D1, D3, D7, D14, D21) after focal cerebral ischemia in mice. Enrichment analyses based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms for the differentially expressed genes (DEGs) were then analyzed. Inflammation-related genes that were significantly expressed after stroke were selected for analysis and the temporal expression patterns of pro-inflammatory and anti-inflammatory genes were reported. These data illustrated that the number of DEGs increased accumulatively after cerebral ischemia. In summary, there were 1967 DEGs at D1, 2280 DEGs at D3, 2631 DEGs at D7, 5516 DEGs at D14 and 7093 DEGs at D21. The significantly enriched GO terms also increased. 58 GO terms and 18 KEGG pathways were significantly enriched at all inspected time points. We identified 87 DEGs which were functionally related to inflammatory responses. The expression levels of pro-inflammation related genes CD16, CD32, CD86, CD11b, Tumour necrosis factor α (TNF-α), Interleukin 1β (IL-1β) increased over time and peaked at D14. Anti-inflammation related genes Arginase 1 (Arg1) and Chitinase-like 3 (Ym1) peaked at D1 while IL-10, Transforming growth factor β (TGF-β) and CD206, which were induced at 1 day after cerebral ischemia, peaked by 7 to 14 days. These gene profile changes were potentially linked to microglia/macrophage phenotype changes and could play a role in astroglial activation. This study supplies new insights and detailed information on the molecular events and pathological mechanisms that occur after experimental ischemic stroke.
缺血性中风后,病变区域会引发一系列病理过程。遗憾的是,我们对这些复杂分子事件的了解并不完整。在本研究中,我们试图更好地了解缺血性中风后发生的详细分子和炎症事件。利用RNA测序技术鉴定小鼠局灶性脑缺血后第1天(D1)、第3天(D3)、第7天(D7)、第14天(D14)和第21天(D21)的全基因表达谱。然后基于基因本体论(GO)和京都基因与基因组百科全书(KEGG)术语对差异表达基因(DEG)进行富集分析。选择中风后显著表达的炎症相关基因进行分析,并报告促炎和抗炎基因的时间表达模式。这些数据表明,脑缺血后差异表达基因的数量呈累积增加。总之,D1时有1967个差异表达基因,D3时有2280个,D7时有2631个,D14时有5516个,D21时有7093个。显著富集的GO术语也增加了。在所有检测时间点,有58个GO术语和18条KEGG通路显著富集。我们鉴定出87个与炎症反应功能相关的差异表达基因。促炎相关基因CD16、CD32、CD86、CD11b、肿瘤坏死因子α(TNF-α)、白细胞介素1β(IL-1β)的表达水平随时间升高,并在D14达到峰值。抗炎相关基因精氨酸酶1(Arg1)和几丁质酶样3(Ym1)在D1达到峰值,而脑缺血后1天诱导的IL-10、转化生长因子β(TGF-β)和CD206在7至14天达到峰值。这些基因谱变化可能与小胶质细胞/巨噬细胞表型变化有关,并可能在星形胶质细胞激活中起作用。本研究为实验性缺血性中风后发生的分子事件和病理机制提供了新的见解和详细信息。