Dataset Information

LC-MSMS analysis of plasma from multiple sclerosis-affected patients

ABSTRACT: 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.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Shan Chao

LAB HEAD: Fan Yang

PROVIDER: PXD040101 | Pride | 2025-05-06

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	20200522-YP202087766-QE-G1.raw	Raw
	20200522-YP202087766-QE-G2.raw	Raw
	20200522-YP202087766-QE-G4.raw	Raw
	20200522-YP202087766-QE-G5.raw	Raw
	20200522-YP202087766-QE_G3.raw	Raw

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Publications

Quantitative proteomics and multi-omics analysis identifies potential biomarkers and the underlying pathological molecular networks in Chinese patients with multiple sclerosis.

Yang Fan F Zhao Long-You LY Yang Wen-Qi WQ Chao Shan S Ling Zong-Xin ZX Sun Bo-Yao BY Wei Li-Ping LP Zhang Li-Juan LJ Yu Li-Mei LM Cai Guang-Yong GY

BMC neurology 20241031 1

Multiple sclerosis (MS) is an autoimmune disorder caused by chronic inflammatory reactions in the central nervous system. Currently, little is known about the changes of plasma proteomic profiles in Chinese patients with MS (CpwMS) and its relationship with the altered profiles of multi-omics such as metabolomics and gut microbiome, as well as potential molecular networks that underlie the etiology of MS. To uncover the characteristics of proteomics landscape and potential multi-omics interactio ...[more]

PMID: 39478468

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