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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DOI
10.12681/eadd/57554
Handle URL
http://hdl.handle.net/10442/hedi/57554
ND
57554
Alternative title
Ολοκληρωμένη προσέγγιση των εμπλεκόμενων υπολογιστικών βιοδεικτών για τον σχεδιασμό εξατομικευμένων πρωτοκόλλων ιατρικής ακριβείας για την αμυοτροφική πλευρική σκλήρυνση
Author
Kadena, Katerina (Father's name: Spyros)
Date
2024
Degree Grantor
Ionian University
Committee members
Βλάμος Παναγιώτης
Έξαρχος Θεμιστοκλής
Χατζηνικολάου Μαρία
Βραχάτης Αριστείδης
Ανδρόνικος Θεόδωρος
Βλαχάκης Δημήτριος
Κοτσιρέας Ηλίας
Discipline
Natural SciencesComputer and Information Sciences ➨ Bioinformatics
Keywords
Amyotrophic lateral sclerosis; Biomarkers; Drug repurposing; Machine learning; Drug target network; Genetic variations; Omics technologies; Personalized medicine
Country
Greece
Language
English
Description
im., tbls., fig., ch.
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