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Abstract Background Proteomic-based discovery of biomarkers for disease has recently come under scrutiny for a variety of issues; one prominent issue is the lack of orthogonal validation for biomarkers following discovery. Validation by ELISA or Western blot requires the use of antibodies, which for many potential biomarkers are under-characterized and may lead to misleading or inconclusive results. Gelsolin is one such biomarker candidate in HIV-associated neurocognitive disorders. Methods Samples from human (plasma and CSF), monkey (plasma), monocyte-derived macrophage (supernatants), and commercial gelsolin (recombinant and purified) were quantitated using Western blot assay and a variety of anti-gelsolin antibodies. Plasma and CSF was used for immunoaffinity purification of gelsolin which was identified in eight bands by tandem mass spectrometry. Results Immunoreactivity of gelsolin within samples and between antibodies varied greatly. In several instances, multiple bands were identified (corresponding to different gelsolin forms) by one antibody, but not identified by another. Moreover, in some instances immunoreactivity depended on the source of gelsolin, e.g. plasma or CSF. Additionally, some smaller forms of gelsolin were identified by mass spectrometry but not by any antibody. Recombinant gelsolin was used as reference sample. Conclusions Orthogonal validation using specific monoclonal or polyclonal antibodies may reject biomarker candidates from further studies based on misleading or even false quantitation of those proteins, which circulate in various forms in body fluids.

Abstract Background Brain capillary endothelial cells (BCECs) form the physiological basis of the blood-brain barrier (BBB). The barrier function is (at least in part) due to well-known proteins such as transporters, tight junctions and metabolic barrier proteins (e.g. monoamine oxidase, gamma glutamyltranspeptidase and P-glycoprotein). Our previous 2-dimensional gel proteome analysis had identified a large number of proteins and revealed the major role of dynamic cytoskeletal remodelling in the differentiation of bovine BCECs. The aim of the present study was to elaborate a reference proteome of Triton X-100-soluble species from bovine BCECs cultured in the well-established in vitro BBB model developed in our laboratory. Results A total of 215 protein spots (corresponding to 130 distinct proteins) were identified by 2-dimensional gel electrophoresis, whereas over 350 proteins were identified by a shotgun approach. We classified around 430 distinct proteins expressed by bovine BCECs. Our large-scale gene expression analysis enabled the correction of mistakes referenced into protein databases (e.g. bovine vinculin) and constitutes valuable evidence for predictions based on genome annotation. Conclusions Elaboration of a reference proteome constitutes the first step in creating a gene expression database dedicated to capillary endothelial cells displaying BBB characteristics. It improves of our knowledge of the BBB and the key proteins in cell structures, cytoskeleton organization, metabolism, detoxification and drug resistance. Moreover, our results emphasize the need for both appropriate experimental design and correct interpretation of proteome datasets.

Purpose: Universal newborn screening for sickle cell diseases (SCDs) is not currently performed in many countries concerned by this public health problem. Owing to the technical and financial limitations of standard profiling methods (IEF coupled to subsequent HPLC), ethnically targeted neonatal screening is often preferred. Here, we demonstrate that MALDI-MS-based SCD newborn screening could be considered as a potential method for a strategy to universal screening because of its high throughput, cost-effectiveness, sensitivity and ability to automatically discriminate sickle haemoglobin., Experimental Design: We carried out a retrospective study of dried blood spots from 844 Guthrie cards. Four determinations of 1000 mass spectra were performed from each tested dried blood spot., Results: The MALDI-MS-based screening was highly correlated with the reference method. Only 2.3% of the samples presented a poor spectral quality., Conclusions and Clinical Relevance: Given that the overall acquisition, data reprocessing and software-assisted classification (ClinProTools™) time for processing four mass determinations (corresponding to one sample) was around 1 min, 1000 samples can be analysed per day. Rather than seeking to detect as many different haemoglobinopathies as possible, it would become possible to use MALDI-TOF-MS to screen (at a constant cost) as many samples as possible for sickle cell disease., (Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)