Genetic Markers and Predictive Factors Influencing the Aggressive Behavior of Cerebral Cavernous Malformation

Author:

Galvão Gustavo F.,Trefilio Luisa M.,Salvio Andreza L.,da Silva Elielson V.,Alves-Leon Soniza V.,Fontes-Dantas Fabrícia L.,de Souza Jorge M.

Abstract

ABSTRACTBiological behavior of Cerebral Cavernous Malformation (CCM) is still controversial without clear-cut signature for biological mechanistic explanation of lesion aggressiveness. There is plenty evidence implicating dysregulated inflammatory and immune responses in vascular malformation pathogenesis, including CCM. In the present study, we evaluated the predictive capacity of the SNPsVDRrs7975232, VDRrs731236, VDRrs11568820as well as expanded the analysis ofPTPN2rs72872125andFCGR2Ars1801274in relation to the aggressive behavior of CCM and its implications in biological processes. This was a single-site prospective observational cohort study with 103 patients enrolled, 42 had close follow-up visits for a period of 4 years, focused on 2 main aspects of the disease: (1) symptomatic event that composed both intracranial bleeding or epilepsy and (2) precocity of symptoms. We report a novel observation that thePTPN2rs72872125CT and theVDRrs7975232CC genotype were independently associated with an asymptomatic phenotype. Additionally,PTPN2rs72872125CC genotype and serum level of GM-CSF could predict a diagnostic association with symptomatic phenotype in CCM patients, while theFCGR2Ars1801274GG genotype could predict a symptomatic event during follow-up. The study also found a correlation betweenVDRrs731236AA andVDRrs11568820CC genotype to the time to first symptomatic event. In summary, this study provides valuable insights into the genetic markers that could potentially impact the development and advancement of CCM.

Publisher

Cold Spring Harbor Laboratory

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3