Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals.

Discovery of reliable signatures for the empirical diagnosis of neurological diseases—both infectious and non-infectious—remains unrealized. One of the primary challenges encountered in such studies is the lack of a comprehensive database representative of a signature background that exists in healthy individuals, and against which an aberrant event can be assessed. For neurological insults and injuries, it is important to understand the normal profile in the neuronal (cerebrospinal fluid) and systemic fluids (e.g., blood). Here, we present the first comparative multi-omic human database of signatures derived from a population of 30 individuals (15 males, 15 females, 23–74 years) of serum and cerebrospinal fluid. In addition to empirical signatures, we also assigned common pathways between serum and CSF. Together, our findings provide a cohort against which aberrant signature profiles in individuals with neurological injuries/disease can be assessed—providing a pathway for comprehensive diagnostics and therapeutics discovery.

对于神经系统疾病（包括感染性和非感染性）的经验性诊断的可靠特征的发现仍未实现。在此类研究中遇到的主要挑战之一是缺乏一个能代表健康个体中存在的特征背景的综合数据库，而异常事件是要依据该背景进行评估的。对于神经损伤而言，了解神经元（脑脊液）和全身性液体（例如血液）中的正常情况是很重要的。在此，我们展示了首个来自30个人（15名男性，15名女性，年龄23 - 74岁）的血清和脑脊液的特征的比较性多组学人类数据库。除了经验性特征外，我们还确定了血清和脑脊液之间的常见通路。总之，我们的研究结果提供了一个队列，依据该队列可以评估神经损伤/疾病患者的异常特征图谱——为全面的诊断和治疗方法的发现提供了一条途径。