Integrated approach of involved computational biomarkers towards designing personalized precision medicine protocols for amyotrophic lateral sclerosis
Abstract
Amyotrophic lateral sclerosis (ALS) presents a formidable challenge due to its devastating impact and the complexity of its etiology. This comprehensive study delves into the multifaceted nature of ALS, employing a holistic approach that integrates genetic analysis, biomarker discovery, omics technologies, and drug repurposing strategies. By focusing on the genetic landscape of ALS, this research identified crucial variations and mutations in pivotal genes such as SOD1, C9ORF72, TARDBP, and FUS, highlighting the disease's genetic heterogeneity and the necessity for personalized medicine. Biomarker exploration unveiled potential candidates for early diagnosis and monitoring disease progression, emphasizing neurofilaments, inflammatory mediators, and specific miRNAs. Leveraging proteomics and metabolomics, this research unveiled novel insights into molecular alterations associated with ALS, pointing towards innovative therapeutic targets. A significant portion of this study was dedicated ...
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