2 research outputs found

    Supplementary Material for: Expression Changes of Long Noncoding RNA in the Process of Endothelial Cell Activation

    No full text
    <i>Background:</i> Endothelial cells have been shown to be in response to a variety of local and systemic stimuli, and are able to transition between quiescent and activated states. Endothelial cell activation is critical for the pathogenesis of various cardiovascular diseases. However, the expression changes of long non-coding RNAs (lncRNAs) are still unknown in the process of endothelial cell activation. Thus, this study was aimed to investigate expression changes of lncRNA before and after endothelial cell activation. <i>Materials and Methods:</i> In an experimental model of peripheral venous congestion, endothelial cells were activated and analyzed with Affymetrix HG-U133 plus2.0 microarray. We analyzed these microarray data and reannotated the microarray probes for lncRNA. <i>Results:</i> According to the definition of absolute fold change>2 and p value <0.05, 27 differentially expressed lncRNAs were identified and only 1 lncRNA transcript, ENST00000509256 was down-regualted. Co-expression network of lncRNA and mRNA were constructed to predict function of the dysregulated lncRNA. Gene set enrichment analyses suggested that these ENST00000509256 was associated with many important functions, such as cell-cell signaling and regulation of cell differentiation. <i>Conclusion:</i> Many lncRNAs are dysregulated upon endothelial cell activation and further experiments are needed to identify the potential biological functions of these lncRNAs

    Supplementary Material for: Cerebrovascular Accident Risk in a Population with Periodic Limb Movements of Sleep: A Preliminary Meta-Analysis

    No full text
    <b><i>Background and Purpose:</i></b> Periodic limb movements of sleep (PLMS) are usually comorbid with hypertension, tachycardia, and coronary arterial diseases, which are also risk factors for cerebrovascular accidents (CVA). However, evidence about the relationship between CVA and PLMS is still weak. The aim of this study was to investigate (1) the prevalence of CVA in patients with PLMS, and (2) the severity of PLMS in patients with or without CVA through a meta-analysis. <b><i>Methods:</i></b> The electronic databases of PubMed, Embase, ScienceDirect, ClinicalKey, Cochrane Library, ProQuest, Web of Science, and ClinicalTrials.gov were searched. The inclusion criteria were (1) articles investigating comorbidity between PLMS and CVA, and (2) clinical trials in humans. <b><i>Results:</i></b> This meta-analysis included (1) 9,823 patients with PLMS and 9,416 controls from 5 studies to analyze the prevalence of CVA in PLMS, and (2) 158 patients with PLMS with CVA and 88 PLMS controls without CVA from 3 studies to analyze the severity of PLMS with and without CVA. The results showed (1) significantly higher comorbidity rates of CVA in the patients with PLMS than in the controls without PLMS (OR 1.267, <i>p</i> = 0.019), and (2) higher PLM index in the patients with CVA than in the controls (Hedges’ <i>g</i> = 0.860, <i>p</i> = 0.001; means difference: 4.435, <i>p</i> = 0.016). <b><i>Conclusions:</i></b> The results revealed (1) a worse severity of PLMS in the patients with CVA, and (2) increased prevalence of CVA in the patients with PLMS. Based on our results, the patients had a higher prevalence of CVA within 8 years of a diagnosis of PLMS compared to those without PLMS by about 1.3-fold. Whether (1) patients with PLMS receiving treatment have a similar incidence of stroke to those without PLMS, and (2) secondary stroke prevention can lower the severity of PLMS or whether those with severe PLMS have a higher risk of stroke is still inconclusive. Future studies investigating the prevalence of CVA in patients with PLMS should use a follow-up period of over 8 years