SpotLight Proteomics-A IgG-Enrichment Phenotype Profiling Approach with Clinical Implications.

Sarcoidosis is a systemic interstitial lung disease of unknown aetiology. Less invasive diagnostics are needed to decipher disease pathology and to distinguish sub-phenotypes. Here we test if SpotLight proteomics, which combines de novo MS/MS sequencing of enriched IgG and co-extracted proteins with subsequent label-free quantification of new and known peptides, can differentiate controls and sarcoidosis phenotypes (Löfgrens and non-Löfgrens syndrome, LS and nonLS). Intra-individually matched IgG enriched from serum and bronchial lavage fluid (BALF) from controls (n = 12), LS (n = 11) and nonLS (n = 12) were investigated. High-resolution mass-spectrometry SpotLight proteomics and uni- and multivariate-statistical analyses were used for data processing. Major differences were particularly observed in control-BALF versus sarcoidosis-BALF. However, interestingly, information obtained from BALF profiles was still present (but less prominent) in matched serum profiles. By using information from orthogonal partial least squares discriminant analysis (OPLS-DA) differentiating 1) sarcoidosis-BALF and control-BALF and 2) LS-BALF vs. nonLS-BALF, control-serum and sarcoidosis-serum (p = 0.0007) as well as LS-serum and nonLS-serum (p = 0.006) could be distinguished. Noteworthy, many factors prominent in identifying controls and patients were those associated with Fc-regulation, but also features from the IgG-Fab region and novel peptide variants. Differences between phenotypes were mostly IgG-specificity related. The results support the analytical utility of SpotLight proteomics which prospectively have potential to differentiate closely related phenotypes from a simple blood test.

Elevated levels of FN1 and CCL2 in bronchoalveolar lavage fluid from sarcoidosis patients.

BACKGROUND: Sarcoidosis is a granulomatous systemic inflammatory disease in which more than 90 % of all patients develop pulmonary manifestations. Several gene associations have previously been described, but established and clinically useful biomarkers are still absent. This study aimed to find proteins in bronchoalveolar lavage (BAL) fluid that can be associated with the disease. METHODS: We developed and performed profiling of 94 selected proteins in BAL fluid and serum samples obtained from newly diagnosed and non-treated patients with sarcoidosis. Using multiplexed immunoassays, a total of 317 BAL and 217 serum samples were analyzed, including asthmatic patients and healthy individuals as controls. RESULTS: Our analyses revealed increased levels of eight proteins in sarcoidosis patients compared to controls. Out of these, fibronectin (FN1) and C-C motif chemokine 2 (CCL2) revealed the strongest associations. In addition, cadherin 5 (CDH5) was found to correlate positively with lymphocyte cell numbers in BAL fluid. CONCLUSIONS: Applying a high throughput proteomics screening technique, we found proteins of potential clinical relevance in the context of sarcoidosis.

Proteomic profiling reveals autoimmune targets in sarcoidosis.

RATIONALE: There is a need to further characterize the antibody repertoire in relation to sarcoidosis and potentially related autoantigens. OBJECTIVES: We investigated bronchoalveolar lavage (BAL) and serum samples from patients with sarcoidosis and healthy and diseased control subjects to discover sarcoidosis-associated autoantigens. METHODS: Antigen microarrays built on 3,072 protein fragments were used to screen for IgG reactivity in 73 BAL samples from subjects with sarcoidosis, subjects with asthma, and healthy subjects. A set of 131 targets were selected for subsequent verification on suspension bead arrays using 272 additional BAL samples and 141 paired sera. Reactivity to four antigens was furthermore analyzed in 22 unprocessed BAL samples from patients with fibrosis and 269 plasma samples from patients diagnosed with myositis. MEASUREMENTS AND MAIN RESULTS: Reactivity toward zinc finger protein 688 and mitochondrial ribosomal protein L43 were discovered with higher frequencies in patients with sarcoidosis, for mitochondrial ribosomal protein L43 especially in patients with non-Löfgren syndrome. Increased reactivity toward nuclear receptor coactivator 2 was also observed in patients with non-Löfgren syndrome as compared with patients with Löfgren syndrome. The antigen representing adenosine diphosphate-ribosylation factor GTPase activating protein 1 revealed high reactivity frequency in all sample groups but with significantly higher level of IgG reactivities in patients with sarcoidosis. CONCLUSIONS: Autoantigen reactivity was present in most BAL and serum samples analyzed, and the results revealed high interindividual heterogeneity, with most of the reactivities observed in single individuals only. Four proteins are here proposed as sarcoidosis-associated autoimmune targets and of interest for further validation in independent cohorts.

Altered Fc galactosylation in IgG4 is a potential serum marker for chronic lung disease.

Characterising chronic lung diseases is challenging. New, less invasive diagnostics are needed to decipher disease pathologies and subphenotypes. Fc galactosylation is known to affect IgG function, and is altered in autoimmune disorders and under other pathological conditions. We tested how well Fc glycans in IgG from bronchoalveolar lavage fluid (BALF) and serum correlated, and if the Fc glycan profile could reveal pulmonary inflammation. A shotgun proteomics approach was used to profile Fc glycans in serum and BALF of controls (n=12) and sarcoidosis phenotypes (Löfgren's syndrome (LS), n=11; and non-LS, n=12). Results were further validated in severe asthma (SA) (n=20) and published rheumatoid arthritis (RA) patient data (n=13) including clinical information. Intra-individually, Fc-galactosylation status of IgG1 (R2=0.87) and IgG4 (R2=0.95) correlated well between matrixes. Following GlycoAge-index correction, the ratio between agalactosylated and digalactosylated Fc glycans of IgG4 could distinguish sarcoidosis and SA from healthy and RA subjects with a mean±se area under the curve (AUC) of 78±6%. The AUC increased to 83±6% using the more chronic lung disease types (non-LS and SA) and most strikingly, to 87±6% for the SA subgroup. The results indicate that the Fc galactosylation status of IgG4 is a potential blood test marker for chronic lung inflammation.

Mutational status predicts the risk of thromboembolic events in lung adenocarcinoma.

BACKGROUND: Precision medicine promises to improve prognosis of patients affected by untreatable diseases. Patients with lung cancer (especially lung adenocarcinoma) bear an increased risk of VTE. Mutations in the EGFR and rearrangement in the ALK genes identify specific subgroups of patients. Aim of this study was to investigate the role of epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutational status on the risk of venous thromboembolism (VTE) in lung adenocarcinoma. METHODS: A retrospective longitudinal design was used. Patients with lung adenocarcinoma diagnosed and undergoing a mutational analysis at the Karolinska University Hospital, Stockholm, Sweden between January 2009 and September 2015 were divided in three subgroups based on their mutational status (EGFR-, ALK-mutated, unexposed group). Event-free time for VTE was assessed using Cox regression analysis based on mutation status and treatment received. RESULTS: Three hundred-ten patients were included. A VTE occurred in 70 (22.6%) patients. Mutation of EGFR was associated with a decreased risk of VTE (HR 0.46, 95% CI 0.23-0.94). Treatment with tyrosine kinase inhibitors (TKI) reduced the risk of VTE compared to other treatment strategies not including TKI (HR 0.42, 95% CI 0.29-0.79). CONCLUSIONS: Our study suggests that patients with lung adenocarcinoma bearing a EGFR-mutation have a decreased risk of VTE compared with patients with other forms of lung adenocarcinoma. Targeted therapy with TKI alone or in combination with other treatments seems to reduce the risk of VTE compared to other treatments not including TKI.