环状rna在亨廷顿病发病机制中的潜在生物标志物

M. Pellegrini, J. Döring, G. Bergonzoni, F. Perrone, Giulia Cardamone, A. Monziani, F. Leva, Michele Arnoldi, Sabrina Maffi, S. Migliore, Ludovica C Busi, R. Asselta, E. Dassi, F. Squitieri, M. Biagioli
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引用次数: 0

摘要

随着HD新疗法的发展进入临床试验,越来越需要开发和验证可获得的生物流体(如血液)中的生物标志物,以跟踪疾病进展并预测治疗结果。一些生物标志物确实存在;然而,可靠和容易获得的额外数据对于评估致病过程和对治疗干预的药理学反应至关重要。在HD中,我们首次检测并表征了一组性别和年龄匹配的对照组和HD不同阶段患者外周血中的环状rna。我们通过评估它们与疾病进展和CAG重复序列大小的相关性来研究它们作为生物标志物的潜力。方法从HD患者和健康人群中采集50份血样。用总RNA进行RNA测序,得到的数据与STAR比对。使用DCC程序对circRNA进行量化,并使用CircTest (R package)来鉴定不同疾病分期和对照之间差异表达的circRNA。CAG重复大小的相关性也进行了检验。为了验证我们的发现,我们在样本中通过RT-qPCR对候选环状rna进行了量化。我们的研究发现了7个严格定义的circRNAs,它们具有3个特征:在HD患者中差异表达(均上调,p值0.3和p值)。结论我们首次发现了HD患者血液中表达增加的circRNAs。目前,我们的目标是在独立的血液队列以及脑脊液和血浆样本中验证这些环状分子,以充分阐明这些高度稳定的RNA分子是否可以用作疾病生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
D03 Circular rnas as potential biomarkers in huntington’s disease pathogenesis
Background With the development of new therapies entering clinical trials for HD, there is an increasing need to develop and validate biomarkers in accessible biofluids, such as blood, to follow disease progression and predict treatment outcomes. Some biomarkers do exist; however, reliable and readily available additional ones will be crucial in assessing the pathogenic process and pharmacologic responses to therapeutic interventions. Aims For the first time in HD, we detect and characterize circRNAs in peripheral blood of a cohort of gender and age-matched controls and HD patients at various stages of the disease. We studied their potential as biomarkers by evaluating their correlation with disease progression and the size of the CAG repeat. Methods 50 blood samples were collected from both HD patients and a healthy cohort of individuals. Total RNA was used for RNA sequencing, and the obtained data were aligned with STAR. DCC program was used to quantify circRNAs and CircTest (R package) to identify differentially expressed circRNA between different disease stages and controls. CAG repeat size correlation was also tested. To validate our findings, candidate circRNAs were quantified via RT-qPCR in our samples. Results Our study led to the discovery of 7, stringently defined circRNAs that possess 3 characteristics: differentially expressed in HD patients (all up-regulated, p-value 0.3 and p-value Conclusions We identified for the first time circRNAs whose expression increases in the blood of HD patients. Currently, we aim to validate these circular molecules in independent blood cohorts as well as in cerebrospinal fluid and plasma samples to fully elucidate whether these highly stable RNA molecules could be used as disease biomarkers.
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