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- Title
Multi-omics profiling reveals peripheral blood biomarkers of multiple sclerosis: implications for diagnosis and stratification.
- Authors
Qinming Zhou; Zuoquan Xie; Lu He; Guangqiang Sun; Huanyu Meng; Zhiyu Luo; Yuan Feng; Xingkun Chu; Liang Li; Jing Zhang; Yong Hao; Meiyu Geng; Xiang Zhang; Sheng Chen
- Abstract
Background: Multiple sclerosis (MS), a chronic autoimmune disorder marked by demyelination in the central nervous system, is exceptionally uncommon in China, and remains poorly understood in terms of its peripheral blood manifestations. Methods: We conducted a cohort study comprising 39 MS patients and 40 normal controls (NC). High-dimensional mass cytometry, protein arrays, and targeted metabolomics were utilized to profile immune subsets, proteins, and metabolites in blood. Differences in multi-omics signatures were scrutinized across varying MS subtypes. Results: Immune profiling demonstrated an elevation in various B cell subsets and monocytes, alongside a reduction in dendritic cells among MS patients. Proteomic data revealed a downregulation in neurotrophic and tissue repair proteins. Metabolomic assessment showed a noted decrease in antiinflammatory molecules and sphingolipids. Integrated analysis identified distinct molecular patterns distinguishing MS from controls. Additionally, multi-omics differences among different MS subtypes were uncovered. Notably, hippuric acid levels was consistently lower in MS subgroups with greater disease severity. Conclusion: This study represents the pioneering exploration of multi-omics in Chinese MS patients, presenting a comprehensive view of the peripheral blood changes in MS. Our study underscores the robust capability of multi-omics assessments in identifying peripheral blood biomarkers that delineate the varied clinical presentation, and facilitates future development of biomarkers and targeted therapeutic interventions in MS.
- Subjects
PROTEIN microarrays; MULTIOMICS; CENTRAL nervous system; HIPPURIC acid; SYMPTOMS; METABOLOMICS
- Publication
Frontiers in Pharmacology, 2024, p01
- ISSN
1663-9812
- Publication type
Article
- DOI
10.3389/fphar.2024.1458046