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Longitudinal clinical proteomics reveals pneumonia type–specific protein biomarkers and autoantibodies
Anna Semenova, Taylor A. Poor, Johannes B. Müller-Reif, Sai Rama Sridatta Prakki, Phillip Geyer, Martin Mück-Häusl, Rogan A. Grant, Luke Rasmussen, Lesca M. Holdt, Daniel Teupser, Matthias Mann, Ali Ö. Yildirim, Richard G. Wunderink, Alexander V. Misharin, Ben D. Singer, G.R. Scott Budinger, Theodore S. Kapellos, Herbert B. Schiller
Anna Semenova, Taylor A. Poor, Johannes B. Müller-Reif, Sai Rama Sridatta Prakki, Phillip Geyer, Martin Mück-Häusl, Rogan A. Grant, Luke Rasmussen, Lesca M. Holdt, Daniel Teupser, Matthias Mann, Ali Ö. Yildirim, Richard G. Wunderink, Alexander V. Misharin, Ben D. Singer, G.R. Scott Budinger, Theodore S. Kapellos, Herbert B. Schiller
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Research Article Infectious disease Inflammation

Longitudinal clinical proteomics reveals pneumonia type–specific protein biomarkers and autoantibodies

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Abstract

Community-acquired pneumonia is a major cause of morbidity and mortality globally. Specific molecular endotypes are currently not well defined, and different viral or bacterial pathogens may trigger specific host responses and pathogenic mechanisms. We performed longitudinal proteomic profiling of bronchoalveolar lavage fluid and plasma from bacterial, influenza, and SARS-CoV-2–driven pneumonia. Our analysis revealed highly pneumonia type–specific proteomic signatures, including COVID-19–specific antibodies locally produced in the lung. These antibodies showed biased immunoglobulin V–domain usage, linked to a CD69/CD83 plasma cell state associated with disease severity and degree of autoimmunity. Using mass spectrometry–driven autoantibody profiling in 2 independent COVID-19 cohorts, we identified 177 putative autoantibodies targeting extracellular matrix, nuclear, and immune-related proteins. Of note, temporal changes in autoantibody profiles correlated with clinical markers of inflammation, organ dysfunction, and duration of hospitalization. These findings highlight the autoimmune aspects of COVID-19 and provide potential biomarkers and therapeutic targets to help improve patient outcomes.

Authors

Anna Semenova, Taylor A. Poor, Johannes B. Müller-Reif, Sai Rama Sridatta Prakki, Phillip Geyer, Martin Mück-Häusl, Rogan A. Grant, Luke Rasmussen, Lesca M. Holdt, Daniel Teupser, Matthias Mann, Ali Ö. Yildirim, Richard G. Wunderink, Alexander V. Misharin, Ben D. Singer, G.R. Scott Budinger, Theodore S. Kapellos, Herbert B. Schiller

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Figure 3

Peripheral B cell clonal dynamics are associated with COVID-19 severity.

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Peripheral B cell clonal dynamics are associated with COVID-19 severity....
(A) Overview of bioinformatics workflow. (B) UMAP visualization of 38,063 peripheral blood B/plasma cells from 90 patients with COVID-19 and 23 healthy controls, colored by cluster identity. (C) UMAP projection of 8,599 plasma cells from 90 patients with COVID-19 and 23 healthy controls. Lower panels show clonal expansions of BALF-derived V-fragment lineages mapped to patients with COVID-19 vs controls. (D) Heatmap visualizing the relative abundance of B/plasma cell molecular states across stages of COVID-19 disease progression.

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