Center for Solutions for ME/CFS

总括 摘要 ME/CFS解决方案中心(CFS for ME/CFS)是一个跨学科、跨机构的中心 由临床医生、临床研究人员、基础科学家组成，他们致力于共同努力 了解ME/CFS的发病机制并制定循证干预策略以预防 并减轻疾病。该团队最初与NIH的一个电话联合起来，以回应虚假报告链接 异嗜性小鼠白血病病毒相关病毒(XMRV)对ME/CFS的作用。它巩固了自己的愿景，得到了来自 哈钦斯家庭基金会慢性疲劳倡议(CFI)和众筹组织微生物 发现计划，探索感染和免疫在疾病中的作用，并确定用于诊断的生物标志物 通过功能基因组、蛋白质组和代谢组学的发现。这个项目的基础是一个大型的 临床数据库和样本库，代表具有良好特征的口腔、粪便和血液样本 在几年的时间里收集了全国范围内的ME/CFS受试者和频率匹配对照。在……里面 项目1，我们调查了细菌、真菌和病毒制剂的分子足迹以及 使用HIGH在100例/100对照样本库样本子集中的相应免疫应答 吞吐量测序、高密度多肽阵列和免疫签名分析；该项目还检查 根据临床和文献报道选择的自身抗体的流行率。在项目2中，我们分析了 利用最新技术在项目1中研究的同一受试者中的血浆代谢组和PBMC转录组 质谱学和RNA-SEQ方法、全面的质谱库和RNA图谱分析工具 在散装细胞群体中使用细胞亚型特异性标记。我们还追求代谢学和转录学 使用项目3中收集的样本进行立位和锻炼挑战后的分析。在项目3中，我们挖掘 哥伦比亚大学和CFI的现有数据库，以深入了解临床特征、合并症和亚型 可用于改进实验室分析，以及加强患者护理。我们将与临床医生和 ME/CFS社区将设计一款移动应用程序，使患者和护理人员能够跟踪 对压力源和干预措施的反应，并将提供前瞻性研究数据。我们还将调查 精益测试作为一种简单的自主神经功能门诊测试的效用。

Overall Abstract The Center for Solutions for ME/CFS (CfS for ME/CFS) is an inter-disciplinary, inter-institutional center comprised of clinicians, clinical investigators, basic scientists who are committing to working together to understand the pathogenesis of ME/CFS and develop evidence-based strategies for interventions that prevent and mitigate disease. The team initially coalesced with an NIH call to respond to spurious reports linking xenotropic murine leukemia virus-related virus (XMRV) to ME/CFS. It consolidated its vision with support from the Hutchins Family Foundation Chronic Fatigue Initiative (CFI) and a crowd-funding organization, The Microbe Discovery Project, to explore the role of infection and immunity in disease and identify biomarkers for diagnosis through functional genomic, proteomic, and metabolomic discovery. The foundation for this project is a large clinical database and sample repository representing oral, fecal, and blood samples from well-characterized ME/CFS subjects and frequency-matched controls collected nationwide over a period of several years. In Project 1, we survey for the presence of molecular footprints of bacterial, fungal, and viral agents and corresponding immune responses in a 100 case/100 control subset of repository samples using high throughput sequencing, high density peptide arrays, and immune signature assays; this Project also examines the prevalence of autoantibodies selected based on clinical and literature reports. In Project 2, we profile the plasma metabolome and PBMC transcriptome in the same subjects studied in Project 1 using state-of-the-art mass spectrometric and RNA-seq methods, comprehensive mass spectral libraries, and tools for RNA profiling in bulk cell populations using cell sub-type specific markers. We also pursue metabolomic and transcriptomic analyses after orthostatic and exercise challenges using samples collected in Project 3. In Project 3, we mine existing databases at Columbia and the CFI for insights into clinical features, comorbidities, and sub-types that can be used to refine laboratory analyses, as well as enhance patient care. We will work with clinicians and the ME/CFS community to design a mobile app that will allow patients and caregivers to track clinical status in response to stressors and interventions, and will provide prospective research data. We will also investigate the utility of the Lean Test as a simple outpatient test for autonomic function.