对导致多发性硬化症的疾病轨迹的敏感性网络分析:全国范围的队列研究
Ali Ebrahimi1, Uffe Kock Wiil1, Tomas Olsson2,3
1SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.
概括
多发性硬化症 (MS) 发病前,伴随疾病的动态变化出现,显示出连接性增加和疾病中心的转移. 这种网络分析揭示了在诊断之前的系统性干扰.
科学领域:
- 神经科学是一个神经科学.
- 网络医学 网络医学
- 计算生物学 计算生物学
背景情况:
- 人们越来越多地认识到多发性硬化症 (MS) 的前阶段.
- 之前的研究集中在孤立的症状或静态的并发症数量上.
- 在MS中疾病负担的预发性疾病负担的不断变化的结构仍然未得到充分研究.
研究的目的:
- 描述在MS发作之前的动态疾病轨迹.
- 使用纵向网络建模来分析诊断前的健康数据.
- 在MS的前期阶段识别出伴随性疾病的演变模式.
主要方法:
- 纵向网络建模应用于瑞典10,273名多发性硬化患者和47,167名对照患者的健康数据.
- 疾病共发生网络为三个预发病窗口 (0-5,5-10,10-15年) 构建.
- 分析包括中心性,聚类,路径长度,重新布线得分,马尔科夫聚类和轨迹映射.
主要成果:
- 与对照组相比,多发性硬化症患者网络的密度,聚类和路径长度更高,比对照组更短,这表明系统互连性更强.
- 精神病 (抑郁症,焦虑症) 和代谢 (糖尿病,腹痛) 诊断成为了突出的,随着时间变化的中心.
- 在MS患者中,独特的并发症集群,包括神经精神病学-毒理学和免疫内分泌星座,被独特地确定.
- 随着MS发病的临近,观察到诊断的重大拓变化,如炎症性中枢神经系统疾病和物质使用.
结论:
- 多发性硬化症之前,共患病情景的动态重组,以增加连接和疾病中心的重新连接为特征.
- 这种基于网络的框架强调了临床MS诊断之前发生的显著系统性干扰.
- 这项研究为研究复杂神经系统疾病中的前性阶段提供了一个新的工具.
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