Quantitative proteomics and multi-omics analysis identifies potential biomarkers and the underlying pathological molecular networks in Chinese patients with multiple sclerosis
Fan Yang,
Long-You Zhao,
Wen-Qi Yang,
Shan Chao,
Zong-Xin Ling,
Bo-Yao Sun,
Li-Ping Wei,
Li-Juan Zhang,
Li-Mei Yu,
Guang-Yong Cai
Affiliations
Fan Yang
Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People’s Hospital
Long-You Zhao
Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People’s Hospital
Wen-Qi Yang
Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University
Shan Chao
Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University
Zong-Xin Ling
Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University
Bo-Yao Sun
Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University
Li-Ping Wei
Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University
Li-Juan Zhang
Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People’s Hospital
Li-Mei Yu
Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University
Guang-Yong Cai
Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People’s Hospital
Abstract 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 interaction networks in CpwMS, Plasma samples were collected from 22 CpwMS and 22 healthy controls (HCs) and analyzed using a Tandem Mass Tag (TMT)-based quantitative proteomics approach. Our results showed that the plasma proteomics pattern was significantly different in CpwMS compared to HCs. A total of 90 differentially expressed proteins (DEPs), such as LAMP1 and FCG2A, were identified in CpwMS plasma comparing to HCs. Furthermore, we also observed extensive and significant correlations between the altered proteomic profiles and the changes of metabolome, gut microbiome, as well as altered immunoinflammatory responses in MS-affected patients. For instance, the level of LAMP1 and ERN1 were significantly and positively correlated with the concentrations of metabolite L-glutamic acid and pro-inflammatory factor IL-17 (Padj < 0.05). However, they were negatively correlated with the amounts of other metabolites such as L-tyrosine and sphingosine 1-phosphate, as well as the concentrations of IL-8 and MIP-1α. This study outlined the underlying multi-omics integrated mechanisms that might regulate peripheral immunoinflammatory responses and MS progression. These findings are potentially helpful for developing new assisting diagnostic biomarker and therapeutic strategies for MS.
