Multiple sclerosis (MS) is a common autoimmune and degenerative disorder caused by chronic inflammatory reactions in the central nervous system. However, little is known about the changes of plasma proteomic profiles in Chinese patients with MS (CpwMS), and potential molecular networks that underlie the etiology of MS. This study seeks to uncover the characteristics of proteomics landscape in CpwMS, and reveal potential biomarkers and the underlying pathological molecular networks that might promote MS etiopathology. Plasma samples were collected from 22 CpwMS and 22 healthy controls (HCs) and analyzed using a Tandem Mass Tag (TMT)-based quantitative proteomics approach. Results showed that the plasma proteomics pattern was significantly different in CpwMS compared to HCs. A total of 90 significantly and differentially expressed proteins (P < 0.05) were identified in CpwMS plasma comparing to HCs.