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Peripheral immune landscape for hypercytokinemia in myasthenic crisis utilizing single-cell transcriptomics. | LitMetric

Peripheral immune landscape for hypercytokinemia in myasthenic crisis utilizing single-cell transcriptomics.

J Transl Med

Huashan Rare Disease Center and Department of Neurology, Huashan Hospital, Shanghai Medical College, National Center for Neurological Disorders, Fudan University, Shanghai, 200040, China.

Published: August 2023

AI Article Synopsis

  • * Researchers used single-cell transcriptomics and immune sequencing on blood samples from two MG patients to analyze cell types and inflammatory responses during and after a myasthenic crisis.
  • * A specific subset of monocytes linked to inflammation was identified, along with a high neutrophil-lymphocyte ratio in other patients, and signs of T cell exhaustion were observed, highlighting the complexity of immune responses in MG.

Article Abstract

Background: Myasthenia gravis (MG) is the most prevalent autoimmune disorder affecting the neuromuscular junction. A rapid deterioration in respiratory muscle can lead to a myasthenic crisis (MC), which represents a life-threatening condition with high mortality in MG. Multiple CD4 T subsets and hypercytokinemia have been identified in the peripheral pro-inflammatory milieu during the crisis. However, the pathogenesis is complicated due to the many types of cells involved, leaving the underlying mechanism largely unexplored.

Methods: We conducted single-cell transcriptomic and immune repertoire sequencing on 33,577 peripheral blood mononuclear cells (PBMCs) from two acetylcholine receptor antibody-positive (AChR +) MG patients during MC and again three months post-MC. We followed the Scanpy workflow for quality control, dimension reduction, and clustering of the single-cell data. Subsequently, we annotated high-resolution cell types utilizing transfer-learning models derived from publicly available single-cell immune datasets. RNA velocity calculations from unspliced and spliced mRNAs were applied to infer cellular state progression. We analyzed cell communication and MG-relevant cytokines and chemokines to identify potential inflammation initiators.

Results: We identified a unique subset of monocytes, termed monocytes 3 (FCGR3B monocytes), which exhibited significant differential expression of pro-inflammatory signaling pathways during and after the crisis. In line with the activated innate immune state indicated by MC, a high neutrophil-lymphocyte ratio (NLR) was confirmed in an additional 22 AChR + MC patients in subsequent hemogram analysis and was associated with MG-relevant clinical scores. Furthermore, oligoclonal expansions were identified in age-associated B cells exhibiting high autoimmune activity, and in CD4 and CD8 T cells demonstrating persistent T exhaustion.

Conclusions: In summary, our integrated analysis of single-cell transcriptomics and TCR/BCR sequencing has underscored the role of innate immune activation which is associated with hypercytokinemia in MC. The identification of a specific monocyte cluster that dominates the peripheral immune profile may provide some hints into the etiology and pathology of MC. However, future functional studies are required to explore causality.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464341PMC
http://dx.doi.org/10.1186/s12967-023-04421-yDOI Listing

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