Multiple Sclerosis (MS) is a chronic inflammatory disorder of the central nervous system. Despite advancements in diagnostic methods, early detection remains challenging. Metabolomic analysis offers a promising, non-invasive approach to identify potential biomarkers for improved diagnostic precision.Cerebrospinal fluid (CSF) and serum samples from 24 healthy controls, 48 MS patients, and 20 Non-MS patients with a range of diverse conditions, including infections, autoimmune disorders, inflammatory issues, and other neurological disorders were collected during lumbar puncture. NMR analysis on a Bruker 600 MHz IVDr spectrometer was performed to obtain metabolomic profiles. Statistical analyses utilised SPSS 25.0, R and R studio, employing appropriate tests based on data distribution.Preliminary findings reveal distinct metabolomic signatures in MS patients compared to healthy controls. Identified metabolites provide valuable insights into the underlying pathophysiological processes. Specific alterations in metabolic pathways associated with MS will be discussed.Metabolomic analysis emerges as a potential tool for early MS detection and understanding disease mechanisms. Further investigations with a larger sample size are warranted to validate these preliminary results.