CFD+CD14+ monocytes: potential pathogenic subset in myasthenia gravis uncovered by multi-omics integration and machine learning analysis

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This study identifies CFD+CD14+ monocytes as a pathogenic subset in myasthenia gravis through multi-omics and machine learning approaches.
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Integration of TWAS and scRNA-seq revealed elevated CD14+ monocytes in MG patients, indicating significant transcriptomic reprogramming.
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High TWAS activity in CD14+ monocytes was linked to mTORC1 signaling, complement, and inflammatory response pathways.
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Machine learning identified six signature genes, with CFD showing elevated expression throughout disease progression in MG.
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The study provides insights into MG immunopathology and potential therapeutic targets by elucidating the role of CFD+CD14+ monocytes.

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