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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 7

Blood putative autoantibodies are associated with clinical parameters in 2 independent severe COVID-19 cohorts.

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Blood putative autoantibodies are associated with clinical parameters in...
(A and B) Heatmaps presenting associations between the detection antibodies against shared putative antigens (n = 15) in the peripheral blood of (A) n = 13 patients with COVID-19 of the Chicago and (B) n = 16 patients with severe COVID-19 of the Munich cohort upon intubation on the x axis and selected clinical parameters on the y axis in the Chicago and Munich cohorts. The color denotes the output of the Wilcoxon test (P value). Dark gray color indicates detection in less than 3 patients or missing clinical data, preventing statistical comparison. (C and D) Box plots showing the significant associations between 19 putative shared autoantigens and clinical parameters in 2 cohorts: Chicago (C) and Munich (D). The x axis represents patients with COVID-19 categorized based on the presence (+) or absence (–) of detected autoantigens at the time of intubation. Statistical significance was assessed using the Wilcoxon test.

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