Publications by authors named "Xuwen Alice Zheng"
Objective: Sporadic inclusion body myositis (IBM) is the most common adult idiopathic inflammatory myopathy. IBM etiology has been elusive, due to both degenerative and autoimmune disease features found on muscle biopsy, and significant disease heterogeneity. Investigating the role of antibodies in the muscle of IBM patients may improve our understanding of disease pathogenesis.
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- Researchers developed a method called MIPSA that helps identify harmful antibodies in COVID-19 patients by using proteins linked to DNA barcodes!*
- The study screened over 11,000 proteins and found two types of neutralizing autoantibodies related to type-I and type-III interferon in patients with severe COVID-19 responses!*
- MIPSA is cost-effective and user-friendly, enabling large-scale studies of various biological interactions, which could aid in understanding disease mechanisms better!*
Article Synopsis
- * The study introduces MIPSA, a technique that creates extensive protein libraries tagged with unique DNA barcodes for detailed analysis through sequencing.
- * Using MIPSA, researchers analyzed autoantibodies in 55 severe COVID-19 patients, confirming known autoantibodies and discovering new ones, specifically anti-IFN-λ3, which could lead to potential therapies for at-risk individuals.
Background: Myositis, or idiopathic inflammatory myopathy (IIM), is a group disorders of unknown etiology characterized by the inflammation of skeletal muscle. The role of T cells and their antigenic targets in IIM initiation and progression is poorly understood. T cell receptor (TCR) repertoire sequencing is a powerful approach for characterizing complex T cell responses.
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