转录组学和生理学分析揭示了糖尿病大鼠动脉损伤延迟愈合反应的时间变化

Q3 Medicine
Sampath Narayanan PhD, Samuel Röhl MD, PhD, Mariette Lengquist BS, Malin Kronqvist MS, Ljubica Matic PhD, Anton Razuvaev MD, PhD
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引用次数: 2

摘要

目的:动脉粥样硬化是快速增长的糖尿病患者死亡的主要原因。糖尿病患者的血管干预可导致血管重塑缺陷和血管壁愈合反应受损的并发症。在这项研究中,我们的目的是通过应用于健康和糖尿病条件下的动脉损伤大鼠模型来阐明血管愈合反应随时间的分子差异。方法采用swisstar(健康)大鼠和Goto-Kakizaki(糖尿病)大鼠(GK,每株40只)左颈总动脉球囊损伤,分别于0、20小时、5天、2、4、6周不同时间点实施安乐死。超声生物显微镜(Vevo 2100)对CCA进行无创形态和生理评估,并与组织学相证实。在每个时间点从损伤的CCA中分离总RNA,并进行微阵列分析(每个时间点n = 3只大鼠;RaGene-1_0-st-v1平台)。使用R软件、DAVID生物信息学工具、在线STRING数据库和Cytoscape软件进行生物信息学分析。结果新生内膜厚度(P <. 01;与健康大鼠相比,GK大鼠损伤2周后出现了双向方差分析,并出现了过度的负重构,组织学分析证实了这一点。生物信息学分析显示,平滑肌细胞和免疫细胞标记物的表达模式存在缺陷,关键细胞外基质相关基因的表达减少,促血栓形成基因的表达增加,表明细胞调控水平存在潜在缺陷。转录因子-蛋白-蛋白相互作用分析为糖尿病大鼠一系列转录因子失调提供了机制证据。结论:在本研究中,我们已经证明糖尿病大鼠表现出以延迟愈合反应为特征的动脉重塑受损。我们发现,收缩平滑肌细胞标志物表达的增加与基质金属蛋白酶表达的减少相吻合,这表明GK大鼠血管愈合受损缺乏细胞外基质重组的潜在机制。这些结果进一步证实了糖尿病患者的再狭窄发生率较高,并为糖尿病患者动脉愈合反应受损的机制提供了重要的分子见解。此外,本研究为进一步探索糖尿病血管病变提供了有价值的纵向基因表达数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Transcriptomic and physiological analyses reveal temporal changes contributing to the delayed healing response to arterial injury in diabetic rats

Transcriptomic and physiological analyses reveal temporal changes contributing to the delayed healing response to arterial injury in diabetic rats

Transcriptomic and physiological analyses reveal temporal changes contributing to the delayed healing response to arterial injury in diabetic rats

Transcriptomic and physiological analyses reveal temporal changes contributing to the delayed healing response to arterial injury in diabetic rats

Objective

Atherosclerosis is a leading cause of mortality in the rapidly growing population with diabetes mellitus. Vascular interventions in patients with diabetes can lead to complications attributed to defective vascular remodeling and impaired healing response in the vessel wall. In this study, we aim to elucidate the molecular differences in the vascular healing response over time using a rat model of arterial injury applied to healthy and diabetic conditions.

Methods

Wistar (healthy) and Goto-Kakizaki (GK, diabetic) rats (n = 40 per strain) were subjected to left common carotid artery (CCA) balloon injury and euthanized at different timepoints: 0 and 20 hours, 5 days, and 2, 4, and 6 weeks. Noninvasive morphological and physiological assessment of the CCA was performed with ultrasound biomicroscopy (Vevo 2100) and corroborated with histology. Total RNA was isolated from the injured CCA at each timepoint, and microarray profiling was performed (n = 3 rats per timepoint; RaGene-1_0-st-v1 platform). Bioinformatic analyses were conducted using R software, DAVID bioinformatic tool, online STRING database, and Cytoscape software.

Results

Significant increase in the neointimal thickness (P < .01; two-way analysis of variance) as well as exaggerated negative remodeling was observed after 2 weeks of injury in GK rats compared with heathy rats, which was confirmed by histological analyses. Bioinformatic analyses showed defective expression patterns for smooth muscle cells and immune cell markers, along with reduced expression of key extracellular matrix-related genes and increased expression of pro-thrombotic genes, indicating potential faults on cell regulation level. Transcription factor–protein-protein interaction analysis provided mechanistic evidence with an array of transcription factors dysregulated in diabetic rats.

Conclusions

In this study, we have demonstrated that diabetic rats exhibit impaired arterial remodeling characterized by a delayed healing response. We show that increased contractile smooth muscle cell marker expression coincided with decreased matrix metalloproteinase expression, indicating a potential mechanism for a lack of extracellular matrix reorganization in the impaired vascular healing in GK rats. These results further corroborate the higher prevalence of restenosis in patients with diabetes and provide vital molecular insights into the mechanisms contributing to the impaired arterial healing response in diabetes. Moreover, the presented study provides the research community with the valuable longitudinal gene expression data bank for further exploration of diabetic vasculopathy.

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