Airway-specific autoantibodies identify a subset of patients with fibrotic interstitial lung disease

Autor: Philip L. Molyneaux, Karim Boustani, Toby M. Maher, James A. Harker, Richard J. Hewitt, Quan-Zhen Li, Rachele Invernizzi, Poonam Ghai
Rok vydání: 2021
Předmět:
DOI: 10.1101/2021.07.29.21261213
Popis: BackgroundFibrotic interstitial lung disease (fILD) has previously been associated with the presence of autoantibody. While studies have focused on systemic autoimmunity, the role of local autoantibodies in the airway remains unknown. We therefore extensively characterised the airway and peripheral autoantibody profiles in patients with fILD and assessed association with disease severity and outcome.MethodsBronchoalveolar lavage (BAL) was collected from a cohort of fILD patients and total airway antibody concentrations were quantified. An autoantigen microarray was used to measure IgG and IgA autoantibodies against 124 autoantigens in BAL from 40 idiopathic pulmonary fibrosis (IPF), 20 chronic hypersensitivity pneumonitis (CHP), 20 connective tissue disease-associated ILD (CTD-ILD) patients and 20 controls.ResultsA subset of patients with fILD but not healthy controls had a local autoimmune signature in their airways that was not present systemically, regardless of disease. The proportion of patients with IPF with a local autoantibody signature was comparable to that of CTD-ILD, which has a known autoimmune pathology, identifying a potentially novel subset of patients. The presence of an airway autoimmune signature was not associated with reduced survival probability or changes in lung function in the cohort as a whole. Patients with IPF had increased airway total IgA and IgG1 while subjects with CHP had increased airway IgA, IgG1 and IgG4. In patients with CHP, increased airway total IgA was associated with reduced survival probability.ConclusionThe presence of airway autoantibodies identifies a unique subset of patients with fILD and the mechanisms by which these autoantibodies contribute to disease requires further investigation.
Databáze: OpenAIRE