BACKGROUND: Understanding and treating vernal keratoconjunctivitis (VKC) has been a challenge because the pathogenesis is unclear and antiallergic therapy often unsuccessful. The aim of the study was to analyze peptide profiles in human tears using mass spectrometry to elucidate compositional differences between healthy subjects and patients affected by VKC. METHODS: Tears were collected from healthy subjects and VKC patients. Digested samples were treated with iTRAQ (isobaric tag for relative and absolute quantitation). Separation of tryptic peptides was realized using a MicroHPLC interfaced with a microfraction collector. MS and MS/MS mass spectra were performed using a MALDI TOF/TOF 4800 Applied Biosystem spectrometer. Protein Pilot™ software with Paragon™ algorithm v4.1.46 or GPS™ with Mascot engine was used as search engines with SwissProt or IPI human as the databases. RESULTS: A significant number of peptides were examined, and 78 proteins were successfully identified. In all VKC samples, levels of serum albumin, transferrin, and hemopexin were found up to 100 times higher than control tear levels and correlated to the severity of disease. Hemopexin, transferrin, mammaglobin B, and secretoglobin 1D were found significantly over-expressed in VKC samples compared with the control samples. Tear samples from patients treated with topical cyclosporine or corticosteroids showed a dramatic reduction in these protein levels. CONCLUSIONS: LC MALDI MS and isobaric tag for relative and absolute quantitation technique may be useful in the quantitative and qualitative characterization of the peptidoma of human tears. These techniques may identify target proteins to be used in the diagnosis and management of VKC and other inflammatory ocular surface conditions.
BACKGROUND: Understanding and treating vernal keratoconjunctivitis (VKC) has been a challenge because the pathogenesis is unclear and antiallergic therapy often unsuccessful. The aim of the study was to analyze peptide profiles in human tears using mass spectrometry to elucidate compositional differences between healthy subjects and patients affected by VKC. METHODS: Tears were collected from healthy subjects and VKC patients. Digested samples were treated with iTRAQ (isobaric tag for relative and absolute quantitation). Separation of tryptic peptides was realized using a MicroHPLC interfaced with a microfraction collector. MS and MS/MS mass spectra were performed using a MALDI TOF/TOF 4800 Applied Biosystem spectrometer. Protein Pilot™ software with Paragon™ algorithm v4.1.46 or GPS™ with Mascot engine was used as search engines with SwissProt or IPI human as the databases. RESULTS: A significant number of peptides were examined, and 78 proteins were successfully identified. In all VKC samples, levels of serum albumin, transferrin, and hemopexin were found up to 100 times higher than control tear levels and correlated to the severity of disease. Hemopexin, transferrin, mammaglobin B, and secretoglobin 1D were found significantly over-expressed in VKC samples compared with the control samples. Tear samples from patients treated with topical cyclosporine or corticosteroids showed a dramatic reduction in these protein levels. CONCLUSIONS: LC MALDI MS and isobaric tag for relative and absolute quantitation technique may be useful in the quantitative and qualitative characterization of the peptidoma of human tears. These techniques may identify target proteins to be used in the diagnosis and management of VKC and other inflammatory ocular surface conditions.
Authors: Sebastian Funke; Sabine Beck; Katrin Lorenz; Marion Kotterer; Dominik Wolters; Natarajan Perumal; Norbert Pfeiffer; Franz H Grus Journal: Am J Transl Res Date: 2016-10-15 Impact factor: 4.060
Authors: P V Tomazic; L Liesinger; B Pucher; G G Thallinger; A Leitner; S Spoerk; C Gerstenberger; D Lang-Loidolt; R Birner-Gruenberger Journal: Allergy Date: 2018-04-15 Impact factor: 13.146
Authors: Janika Nättinen; Antti Jylhä; Ulla Aapola; Petri Mäkinen; Roger Beuerman; Juhani Pietilä; Anu Vaajanen; Hannu Uusitalo Journal: Clin Proteomics Date: 2019-03-30 Impact factor: 3.988