Leuschner, G. ; Semenova, A. ; Mayr, C. ; Kapellos, T. ; Ansari, M. ; Seeliger, B.* ; Frankenberger, M. ; Kneidinger, N.* ; Hatz, R.A.* ; Hilgendorff, A. ; Prasse, A.* ; Behr, J.* ; Mann, M.* ; Schiller, H.
Mass spectrometry-based autoimmune profiling reveals predictive autoantigens in idiopathic pulmonary fibrosis.
iScience 26:108345 (2023)
Autoimmunity plays a role in certain types of lung fibrosis, notably connective tissue disease-associated interstitial lung disease (CTD-ILD). In idiopathic pulmonary fibrosis (IPF), an incurable and fatal lung disease, diagnosis typically requires clinical exclusion of autoimmunity. However, autoantibodies of unknown significance have been detected in IPF patients. We conducted computational analysis of B cell transcriptomes in published transcriptomics datasets and developed a proteomic Differential Antigen Capture (DAC) assay that captures plasma antibodies followed by affinity purification of lung proteins coupled to mass spectrometry. We analyzed antibody capture in two independent cohorts of IPF and CTL-ILD patients over two disease progression time points. Our findings revealed significant upregulation of specific immunoglobulins with V-segment bias in IPF across multiple cohorts. We identified a predictive autoimmune signature linked to reduced transplant-free survival in IPF, persisting over time. Notably, autoantibodies against thrombospondin-1 were associated with decreased survival, suggesting their potential as predictive biomarkers.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Components Of The Immune System ; Immune System ; Immunological Methods ; Proteomics; Cell Differentiation; B-cells; Lung; Identification; Pirfenidone; Prevalence; Target
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Language
english
Publication Year
2023
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0
HGF-reported in Year
2023
ISSN (print) / ISBN
2589-0042
e-ISSN
2589-0042
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Volume: 26,
Issue: 11,
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Article Number: 108345
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Elsevier
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Amsterdam ; Bosten ; London ; New York ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis
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Reviewing status
Peer reviewed
POF-Topic(s)
30202 - Environmental Health
80000 - German Center for Lung Research
Research field(s)
Lung Research
PSP Element(s)
G-501693-001
G-501800-810
G-501600-004
G-501600-012
G-552100-001
Grants
Max Planck Society
Munich Medical & Clinician Scientist Program (MCSP)
Helmholtz Association
German Center for Lung Research
Copyright
Erfassungsdatum
2023-11-28