Anti-IgG1 monoclonal antibody [HRP]

Acute exacerbations (AEs) are among the main causes of death in idiopathic pulmonary fibrosis (IPF) patients. In this study proteomic comparative analysis of bronchoalveolar lavage (BAL) fluid samples was performed in stable IPF patients versus AEs IPF group to identify AE pathogenetic mechanisms and novel potential predictive biomarkers. A functional proteomic analysis of BAL fluid samples from stable and AE-IPF patients was conducted in a population of 27 IPF patients. Fifty-one differentially abundant spots were observed and identified by mass spectrometry. Enrichment analysis found proteins of interest involved in the regulation of macrophages and lipid metabolism receptors. In acute exacerbation IPF group, differentially abundant proteins were involved in propagation of the beta-catenin WNT transduction signal, and proteins up-regulated in lung carcinogenesis (IGKC, S100A9, PEDF, IGHG1, ALDOA, A1AT, HPT, CO3 and PIGR) and acute phase proteins involved in protease-antiprotease imbalance (such as A1AT fragments). Dot-blot analysis of A1AT C-36 peptide allowed validating our fmdings, confirming up-regulation in AF IPF patients and suggesting its potential pathogenetic role. A crucial role of protease/antiprotease imbalance, clathrin-mediated endocytosis signalling and carcinogenesis emerged in IPF patients developing acute exacerbations.

Detecting prostate cancer (PCa) using non-invasive diagnostic markers still remains a challenge. The aim of this study was the identification of urine proteins that are sufficiently sensitive and specific to detect PCa in the early stages. Comparative proteomics profiling of urine from patients with PCa, benign prostate hyperplasia, bladder cancer, and renal cancer, coupled with bioinformatics analysis, were performed. Statistically significant difference in abundance showed 20 and 85 proteins in the 2-D DIGE/MS and label-free LC-MS/MS experiments, respectively. In silico analysis indicated activation, binding, and cell movement of subset of immune cells as the top affected cellular functions in PCa, together with the down-regulation of Acute Phase Response Signaling and Liver X Receptor/ Retinoid X Receptor (LXR/RXR) activation pathways. The most promising biomarkers were 35, altered in PCa when compared to more than one group. Half of these have confirmed localization in normal or PCa tissues. Twenty proteins (CD14, AHSG, ENO1, ANXA1, CLU, COL6A1, C3, FGA, FGG, HPX, PTGDS, S100A9, LMAN2, ITIH4, ACTA2, GRN, HBB, PEBP1, CTSB, SPP1) are oncogenes, tumor suppressors, and multifunctional proteins with highly confirmed involvement in PCa, while 9 (AZU1, IGHG1, RNASE2, PZP, REG1A, AMY1A, AMY2A, ACTG2, COL18A1) have been associated with different cancers, but not with PCa so far, and may represent novel findings. LC-MS/MS data are available via ProteomeXchange with identifier PXD008407.