Proteomic Profiling of Serological Responses to Aspergillus fumigatus Antigens in Patients with Invasive Aspergillosis

J Proteome Res. 2016 May 6;15(5):1580-91. doi: 10.1021/acs.jproteome.6b00042. Epub 2016 Mar 24.


Aspergillus fumigatus is the species that most commonly causes the opportunistic infection invasive aspergillosis (IA) in patients being treated for hematological malignancies. Little is known about the A. fumigatus proteins that trigger the production of Aspergillus-specific IgG antibodies during the course of IA. To characterize the serological response to A. fumigatus protein antigens, mycelial proteins were separated by 2-D gel electrophoresis. The gels were immunoblotted with sera from patients with probable and proven IA and control patients without IA. We identified 49 different fungal proteins, which gave a positive IgG antibody signal. Most of these antigens play a role in primary metabolism and stress responses. Overall, our analysis identified 18 novel protein antigens from A. fumigatus. To determine whether these antigens can be used as diagnostic or prognostic markers or exhibit a protective activity, we employed supervised machine learning with decision trees. We identified two candidates for further analysis, the protein antigens CpcB and Shm2. Heterologously produced Shm2 induced a strongly proinflammatory response in human peripheral blood mononuclear cells after in vitro stimulation. In contrast, CpcB did not activate the immune response of PBMCs. These findings could serve as the basis for the development of an immunotherapy of IA.

Keywords: Aspergillus fumigatus; decision trees; immunoproteomics; invasive aspergillosis; protein antigens.

MeSH terms

  • Antigens, Fungal / analysis*
  • Aspergillosis / immunology
  • Aspergillus fumigatus / immunology*
  • Case-Control Studies
  • Cells, Cultured
  • Fungal Proteins / analysis
  • Fungal Proteins / immunology
  • Humans
  • Immunoglobulin G / biosynthesis
  • Leukocytes, Mononuclear / immunology
  • Opportunistic Infections / immunology
  • Proteomics / methods*
  • Supervised Machine Learning


  • Antigens, Fungal
  • Fungal Proteins
  • Immunoglobulin G