Jafari Ameneh, Babajani Amirhesam, Rezaei-Tavirani Mostafa
Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Biomark Insights. 2021 May 6;16:11772719211013352. doi: 10.1177/11772719211013352. eCollection 2021.
Multiple sclerosis (MS) is an autoimmune inflammatory disorder of the central nervous system (CNS) resulting in demyelination and axonal loss in the brain and spinal cord. The precise pathogenesis and etiology of this complex disease are still a mystery. Despite many studies that have been aimed to identify biomarkers, no protein marker has yet been approved for MS. There is urgently needed for biomarkers, which could clarify pathology, monitor disease progression, response to treatment, and prognosis in MS. Proteomics and metabolomics analysis are powerful tools to identify putative and novel candidate biomarkers. Different human compartments analysis using proteomics, metabolomics, and bioinformatics approaches has generated new information for further clarification of MS pathology, elucidating the mechanisms of the disease, finding new targets, and monitoring treatment response. Overall, omics approaches can develop different therapeutic and diagnostic aspects of complex disorders such as multiple sclerosis, from biomarker discovery to personalized medicine.
多发性硬化症(MS)是一种中枢神经系统(CNS)的自身免疫性炎症性疾病,会导致大脑和脊髓的脱髓鞘和轴突损失。这种复杂疾病的确切发病机制和病因仍是个谜。尽管许多研究旨在识别生物标志物,但尚无蛋白质标志物被批准用于MS。迫切需要能够阐明MS病理、监测疾病进展、治疗反应和预后的生物标志物。蛋白质组学和代谢组学分析是识别潜在和新型候选生物标志物的有力工具。使用蛋白质组学、代谢组学和生物信息学方法对不同人体部位进行分析,为进一步阐明MS病理、揭示疾病机制、寻找新靶点和监测治疗反应提供了新信息。总体而言,组学方法可以发展复杂疾病(如多发性硬化症)的不同治疗和诊断方面,从生物标志物发现到个性化医疗。