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ABSTRACT: Background
Currently, there are no biomarkers for migraine.Objectives
We aimed to identify proteomic biomarker signatures for diagnosing, subclassifying, and predicting treatment response in migraine.Design
This is a cross-sectional and longitudinal study of untargeted serum and cerebrospinal fluid (CSF) proteomics in episodic migraine (EM; n = 26), chronic migraine (CM; n = 26), and healthy controls (HC; n = 26).Methods
We developed classification models for biomarker identification and natural clusters through unsupervised classification using agglomerative hierarchical clustering (AHC). Pathway analysis of differentially expressed proteins was performed.Results
Of 405 CSF proteins, the top five proteins that discriminated betw
SUBMITTER: Woldeamanuel YW
PROVIDER: S-EPMC11418313 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature