Despite the limitation of being a time-consuming technique

Our analysis, although exploratory and performed in a relatively small sample, revealed several peak signals whose intensities seemed to discriminate between the different subgroups. The overall trend showed that ScgII was upregulated in CIS and RRMS patients compared to PrMS patients, whereas the Fbg signal was downregulated in the same subgroups. Additionally, the intensity of Tb4 peak was the only significantly discriminating signal between the CIS and RRMS patients. MS is a chronic autoimmune disease of the central nervous system in which both the inflammatory demyelination and the axonal injury contribute the phenotypes. Since it is characterized by significant heterogeneity of clinical and radiological patterns, the ability to identify true predictive markers has so far been elusive. One possible reason for this may be because of the multi-factorial nature of MS that involves several genes and their interactions, as well as the intervention of environmental factors that leave many MS pathogenic issues still unsolved. Proteomic analyses of different human compartments by using sensitive approaches like mass spectroscopy have Selamectin generated data on the pathological features of MS, despite the limitation of being a time-consuming technique. Stoop et al evaluated the CSF proteomic profiles of RR/PP MS patients by MALDIFTICR mass spectrometry and confirmed the role of proteins related to Vitamin D homeostasis. On the other hand, a chemical labelling approach in combination with Liquid Chromatography-Electrospray Ionization mass spectrometry revealed that the Chitinase 3like 1 protein was associated with the conversion from CIS to CDMS. In the present investigation, for each MS Protopine subgroups we generated proteomic profiles that frequently overlap with each other, as reported by others. For this reason we were not able to identify predictive markers of MS progression, for example from CIS to CDMS, although we are still working on the characterization of those peak signals that were significantly different between the two groups.