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Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from Sézary Syndrome Patients for Transcriptomic Profiling
Published on: October 14, 2021
In-depth peripheral CD4+ T profile correlates with myasthenic crisis
Xiao Huan1, Sushan Luo1, Huahua Zhong1
1Department of Neurology, Huashan Hospital Fudan University, Shanghai, China.
Myasthenic crisis (MC) involves a severe autoimmune response with specific CD4+ T cell changes and elevated cytokines. These immune signatures correlate with disease severity, suggesting potential therapeutic targets.
Area of Science:
- Immunology
- Autoimmune Diseases
- Neuromuscular Disorders
Background:
- Myasthenia gravis (MG) is an autoimmune neuromuscular junction disorder.
- Myasthenic crisis (MC) is the most severe form of MG, associated with high mortality.
- Identifying immune signatures in MC is crucial for understanding disease pathogenesis and severity.
Purpose of the Study:
- To identify immune signatures in patients experiencing myasthenic crisis (MC).
- To assess the correlation between immune biomarkers and clinical severity longitudinally.
- To explore potential therapeutic targets for MC.
Main Methods:
- Studied 181 participants: 57 healthy controls, 96 MG patients, and 28 MC patients.
- Performed in-depth profiling of CD4+ T cell subpopulations and serum cytokines.
- Utilized correlation analysis and principal component analysis to associate immune markers with clinical scores.
Main Results:
- MC patients exhibited a proinflammatory CD4+ T response (elevated Th1, Th17; decreased Tfh2, Tnaive, ICOS-, T central memory Tfh cells).
- Increased regulatory T cells (Tregs) and Tfh17 cells were observed in MC compared to non-crisis MG.
- A cytokine cascade involving Th1, Th2, Th17, Th9, and Treg-associated cytokines was identified in MC.
- Longitudinally, Tregs and cytokines (IL-2, IL-4, IL-17A, IFN-γ, TNF-α, GM-CSF) correlated with MG activities of daily living score.
Conclusions:
- MC is characterized by distinct inflammatory CD4+ T cell signatures.
- These immune signatures are associated with clinical severity in MC.
- Further research is warranted to investigate these signatures as potential therapeutic targets and for predicting MC.
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