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Non-invasive in vivo metabolomics for the assessment and classification of white matter abnormalities in multiple sclerosis.

机译:非侵入性体内代谢组学,用于评估和分类多发性硬化症中的白质异常。

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摘要

Multiple sclerosis is a disabling demyelinating disorder of the central nervous system, which presents with a wide variety of symptoms and an unpredictable disease progression. The disease heterogeneity along with the inaccessibility of the brain has made it difficult to study. Advances in Magnetic Resonance Imaging have allowed for tremendous advances in understanding this complex disorder.;Magnetic Resonance Spectroscopy (MRS) allows for identification of a chemical signature of a selected volume of the brain in vivo. While previous studies utilizing MRS have demonstrated metabolic changes in lesions and normal appearing white matter (NAWM) of MS patients, these studies have selectively analyzed only 4-6 metabolites in an independent manner. In order to obtain a more comprehensive picture of the underlying MS disease pathology, we developed and applied untargeted metabolomics tools to brain 1H MRS in vivo in patients with the relapsing-remitting form of MS. This analysis was used to characterize the different metabolic signatures of healthy brain tissue from that of lesions and NAWM of MS subjects. Further, we extended the analysis to characterize different clinical aspects of MS, such as physical disability and cognitive dysfunction, finding unique metabolic signatures for a variety of different aspects of MS.
机译:多发性硬化症是中枢神经系统的失能性脱髓鞘疾病,其表现为各种各样的症状和不可预测的疾病进展。疾病的异质性以及大脑的不可及性使其难以研究。磁共振成像技术的进步为理解这种复杂疾病提供了巨大的进步。磁共振波谱(MRS)可以识别体内选定体积的大脑的化学特征。尽管先前利用MRS进行的研究已经证明了MS患者病变和正常出现的白质(NAWM)的代谢变化,但这些研究仅以独立的方式选择性地分析了4-6种代谢物。为了更全面地了解潜在的MS疾病病理,我们开发了无复发的代谢组学工具并将其应用于患有MS复发型MS的患者体内的1H MRS体内。该分析被用来表征健康大脑组织与MS受试者的病变和NAWM的不同代谢特征。此外,我们扩展了分析的范围,以表征MS的不同临床方面,例如身体残疾和认知功能障碍,为MS的许多不同方面找到独特的代谢特征。

著录项

  • 作者

    Vingara, Lisa Karstens.;

  • 作者单位

    Princeton University.;

  • 授予单位 Princeton University.;
  • 学科 Biology Neuroscience.;Chemistry Biochemistry.;Chemistry Analytical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 180 p.
  • 总页数 180
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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