Huang X, Li H, Zhang Z, Wang Z, Du X, Zhang Y. Macrophage migration inhibitory factor: A noval biomarker upregulates in myasthenia gravis and correlates with disease severity and relapse.
Cytokine 2024;
175:156485. [PMID:
38159470 DOI:
10.1016/j.cyto.2023.156485]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 12/09/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE
To explore the relationship between macrophage migration inhibitory factor (MIF) and disease severity and relapse in patients with myasthenia gravis (MG).
METHODS
145 MG patients including 79 new-onset patients, 30 remission patients and 36 relapse patients were enrolled in this study. The detailed characteristics of all enrolled MG patients were routinely recorded, including gender, age, type, MGFA classification, antibody, thymic status, clinical score, treatment, MGFA-PIS and B cell subsets (memory B cells, plasmablast cells and plasma cells) detected by flow cytometry. Serum MIF levels were measured by enzyme-linked immunosorbent assay (ELISA) kit. The correlation of MIF levels with clinical subtypes, disease severity and B cell subsets were investigated. Moreover, logistic regression analysis was applied to assess the factors affecting relapse of generalized MG (GMG).
RESULTS
Serum MIF levels were higher in new-onset MG patients than those in controls and were positively associated with QMG score, MGFA classification and memory B cells. Subgroup analysis revealed that MIF levels were increased in GMG patients than in ocular MG (OMG), as well as elevated in MGFA III/IV compared with MGFA I/II. With the remission of the disease, the expression of serum MIF decreased. The multivariate logistic regression models indicated that high MIF and thymoma was a risk factor for relapse of GMG, and rituximab could prevent disease relapse.
CONCLUSIONS
MIF can be used as a novel biomarker to reflect disease severity and predict disease relapse in MG patients.
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