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The diagnosis of skin wound vitality is currently based on standard histology, but histological findings lack sensitivity in case of a short survival time. New reliable biomarkers of vitality are therefore strongly needed. We assessed the ability of 10 candidate cytokines (IFN-γ, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, TNF-α) to discriminate between vital and early post-mortem wounds. Twenty-four cadavers with a recent open skin wound (

International audience; In patients with metastatic breast cancer (MBC), brain metastases (BM) are associated with high morbidity and mortality. However, there is no validated serum biomarker that accurately predicts BM occurrence in these patients, and the role of serum biomarkers for prognosis remains unclear. Here, we evaluated the association of neurofilament light chain (NfL), ubiquitin C-terminal hydrolase L1 (UCHL1), glial fibrillary acidic protein (GFAP) and tau serum levels with BM presence and prognosis in patients with MBC. In serum samples from patients with MBC with (n = 100) and without BM (n = 47), we measured the biomarker serum levels using single molecule array (Simoa) technology (Neurology-4-Plex assay). To evaluate their accuracy to identify patients with BM, we determined the receiver operating characteristic curve and the area under the curve (AUC) for each biomarker and calculated their sensitivity and specificity. The median serum levels of NfL, UCHL1, tau and GFAP were significantly higher in patients with BM. The AUC for GFAP (0.82, 95% confidence interval [CI] 0.75-0.88) was significantly higher than those of the other biomarkers considered independently. Using the medians as cutoff values, elevated serum levels of NfL, UCHL1, tau and GFAP were associated with BM in univariate analysis, but only high GFAP levels in multivariate analysis (odd ratio 23.4, 95% CI 6.8-80.5, P

Tau proteins are recognized biomarkers of neurodegeneration and neuronal damage in the cerebrospinal fluid (CSF). It has also been suggested that these CSF proteins could increase post-mortem due to neuronal death. The aim of this study was to investigate the changes in CSF total and phosphorylated tau (p-tau) levels in the early post-mortem interval (PMI), to determine whether these proteins could be relevant biomarkers of time since death. Tau and p-tau levels were measured by ELISA in lumbar and cisternal CSF samples from 82 corpses (46 men, 36 women, mean age: 72.4 ± 15.2 years) with a PMI 6 h versus PMI ≤ 6 h, the discriminatory power of the biomarkers being higher in the subgroup of neurologically healthy patients. Based on cut-off values obtained by ROC curve analysis, the CSF biomarkers could rectify or adjust the time interval provided by the temperature-based methods in a significant number of cases. A predictive model combining tympanic temperature and cisternal tau values was found to be particularly accurate to assign individuals according to their PMI (≤ or > 6 h), with a Se of 83% and a Sp of 100% (AUC = 0.95). Our findings suggest that CSF tau and p-tau proteins could serve as potential biomarkers of time since death, in association with tympanic temperature. The practical applicability of such an integrated approach has to be assessed by further studies.

Little is known about the influence of Riluzole on serum neurofilament light chain (sNfL) levels, a biomarker of prognosis in amyotrophic lateral sclerosis (ALS), and variations with time of sNfL concentrations are controversial.Sera from ALS patients (n = 141) and controls (n = 33) were collected at inclusion (sNfL1) and second visit (sNfL2, mean delay 10.4 ± 8.7 months). sNfL levels, determined by single-molecule array, were compared between ALS and controls at both time points. sNfL concentration changes were compared between patients with Riluzole (w/Ril) at inclusion in the study and those who were treated by Riluzole following inclusion (w/o Ril). The factors influencing sNfL concentrations and changes were studied using linear regression and multivariate analysis.sNfL levels were higher in ALS patients than in controls at the two time points (p 0.00001). In ALS patients, sNfL concentrations were higher in females for both sNfL1 (p = 0.014) and sNfL2 (p 0.001). In the whole ALS group, sNfL levels were higher at sNfL2 than at sNfL1 (p 0.001). sNfL1 and sNfL2 concentrations were similar between the two ALS subgroups (w/ and w/o Ril). ALS functional rating scale-revised rate of decline and gender were the two main factors significantly influencing both sNfL1 and sNfL2 levels (p 0.01). However, only gender was shown to significantly influence sNfL changes with time (p = 0.003).In this study, sNfL levels increased with time in ALS patients and there was no difference between subjects already treated by Riluzole and those treated after sNfL1. Further studies with larger population samples and different sampling intervals are warranted to better determine the real potential of sNfL measurement as a tool to monitor treatment response in ALS.

International audience; The present study focuses on the use of a metaproteomic approach to analyze Black Extrinsic Tooth Stains, a specific type of pigmented extrinsic substance. Metaproteomics is a powerful emerging technology that successfully enabled human protein and bacterial identification of this specific dental biofilm using high-resolution tandem mass spectrometry. A total of 1600 bacterial proteins were identified in black stain (BS) samples and 2058 proteins in dental plaque (DP) samples, whereas 607 and 582 human proteins were identified in BS and DP samples, respectively. A large diversity of bacteria genera (142) in BS and DP was identified, showing a high prevalence of Rothia, Kingella, Neisseria, and Pseudopropionibacterium in black stain samples. In this work, the high diversity of the dental microbiota and its proteome is highlighted, including significant differences between black stain and dental plaque samples.

The diagnosis of skin wound vitality is currently based on standard histology, but histological findings lack sensitivity in case of a short survival time. New reliable biomarkers of vitality are therefore strongly needed. We assessed the ability of 10 candidate cytokines (IFN-γ, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, TNF-α) to discriminate between vital and early post-mortem wounds.Twenty-four cadavers with a recent open skin wound ( 3 h) were included (20 men, 4 women, mean age = 51.0 ± 24.3 years). An early post-mortem wound was performed in an uninjured skin area, and both wounds were sampled at the autopsy (post-mortem interval (PMI) = 66.3 ± 28.3 h). Needle-puncture sites related to resuscitation cares were included as very early post-mortem wounds (n = 6). In addition to standard histology, cytokines levels were simultaneously measured in each sample using a multiplex sandwich immunoassay, then normalized on healthy skin levels. A quantitative evaluation of IL-8-positive cells in ante- and post-mortem wound samples was also performed.In the training set of samples (n = 72), cytokine levels were significantly higher in vital wounds (mean age = 47 ± 53 min) than in post-mortem wounds (mean PMI = 6.9 ± 9.0 h) (p 0.2), except for two cytokines (IFN-γ and IL-2). IL-8 was the best discriminatory cytokine (Se = 54%, Sp = 100%, AUC = 0.79), while a multivariate model combining IL-4 and IL12p70 was a bit more discriminant (Se = 55%, Sp = 100%, AUC = 0.84). In the validation set (n = 72), the discriminatory power of the cytokines and the predictive model was slightly lower, with IL-8 remaining the best cytokine (Se = 46%, Sp = 96%, AUC = 0.75). The predictive model remained highly specific (Sp = 100%). Both the cytokines and the predictive model allowed the iatrogenic injuries to be correctly classified as post-mortem wounds. Standard histology and immunohistochemistry showed 21% sensitivity and a specificity of 79% and 100%, respectively. Only two iatrogenic wounds could be properly categorized histologically.This study suggests that cytokines could be useful biomarkers of skin wound vitality and that the immunoassay method could be more sensitive than immunohistochemistry to identify wounds with a short survival time. Further research is underway to confirm these preliminary data.

Tau proteins are recognized biomarkers of neurodegeneration and neuronal damage in the cerebrospinal fluid (CSF). It has also been suggested that these CSF proteins could increase post-mortem due to neuronal death. The aim of this study was to investigate the changes in CSF total and phosphorylated tau (p-tau) levels in the early post-mortem interval (PMI), to determine whether these proteins could be relevant biomarkers of time since death.Tau and p-tau levels were measured by ELISA in lumbar and cisternal CSF samples from 82 corpses (46 men, 36 women, mean age: 72.4 ± 15.2 years) with a PMI 12 h. Forty-eight of them were considered neurologically healthy at the time of death. Rectal and tympanic temperatures were also measured in 37 individuals, and two validated temperature-based methods of PMI estimation were applied (Henssge's nomogram and Baccino's method).CSF tau and p-tau levels were significantly increased, with respective median values of 3315 pg/mL and 68.5 pg/mL in the whole cohort, while lower but still increased levels were observed in neurologically healthy patients. Sub-occipital punctures systematically provided higher tau and p-tau values (p 0.0001). Despite a great inter-individual variability, the concentrations of both biomarkers were positively correlated with the early PMI, with the highest correlation for cisternal p-tau (r = 0.50, p 0.0001 in the whole cohort; r = 0.58, p = 0.0003 in the neurologically healthy patients). Higher levels of CSF biomarkers were observed for PMI 6 h versus PMI ≤ 6 h, the discriminatory power of the biomarkers being higher in the subgroup of neurologically healthy patients. Based on cut-off values obtained by ROC curve analysis, the CSF biomarkers could rectify or adjust the time interval provided by the temperature-based methods in a significant number of cases. A predictive model combining tympanic temperature and cisternal tau values was found to be particularly accurate to assign individuals according to their PMI (≤ or 6 h), with a Se of 83% and a Sp of 100% (AUC = 0.95).Our findings suggest that CSF tau and p-tau proteins could serve as potential biomarkers of time since death, in association with tympanic temperature. The practical applicability of such an integrated approach has to be assessed by further studies.

Aim: Monoclonal antibody-based treatment of cancer has been established as one of the most successful therapeutic strategies. Materials & methods: In this work, we developed a workflow based on an automated protein-A capture and LC–MS/MS analysis to quantify bevacizumab on patient serum during treatment. This analytical approach was fully validated and compared with a commercially available Monoclonal antibody-based treatment preparation (nanosurface and molecular-orientation limited kit). Results: The analytical comparison of the two preparative workflows based on protein-A capture gave similar results with a better lower limit of quantification for the nanosurface and molecular-orientation limited kit (0.26986 vs 1.9565 μg/ml). Conclusion: LC–MS/MS has clear advantages compared with ELISA when considering method development time, multiplexing capacities and absolute quantification with internal standardization.

International audience; Although dried blood spot (DBS) sampling methods have been used since the 1960s, they have recently attracted renewed interest because of the development of new clinical applications. In addition to their other advantages, DBS methods can now be used to quantify many blood proteins using the latest highly sensitive and robust, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) approaches such as multiple reaction monitoring. The DBS blood sampling approach could provide a useful alternative means of conducting blood sampling for routine clinical purposes and patients' follow-up. In this review, we examine the current use of DBS for LC-MS/MS protein quantification in clinical settings and discuss potential clinical applications.

International audience; Multiple myeloma (MM) is a plasma cell cancer with poor survival, characterized by the expansion of multiple myeloma cells (MMCs) in the bone marrow. Using a microarray-based genome-wide screen for genes responding to DNA methyltransferases (DNMT) inhibition in MM cells, we identified RECQ1 among the most downregulated genes. RecQ helicases are DNA unwinding enzymes involved in the maintenance of chromosome stability. Here we show that RECQ1 is significantly overexpressed in MMCs compared to normal plasma cells and that increased RECQ1 expression is associated with poor prognosis in three independent cohorts of patients. Interestingly, RECQ1 knockdown inhibits cells growth and induces apoptosis in MMCs. Moreover, RECQ1 depletion promotes the development of DNA double-strand breaks, as evidenced by the formation of 53BP1 foci and the phosphorylation of ataxia-telangiectasia mutated (ATM) and histone variant H2A.X (H2AX). In contrast, RECQ1 overexpression protects MMCs from melphalan and bortezomib cytotoxicity. RECQ1 interacts with PARP1 in MMCs exposed to treatment and RECQ1 depletion sensitizes MMCs to poly(ADP-ribose) polymerase (PARP) inhibitor. DNMT inhibitor treatment results in RECQ1 downregulation through miR-203 deregulation in MMC. Altogether, these data suggest that association of DNA damaging agents and/or PARP inhibitors with DNMT inhibitors may represent a therapeutic approach in patients with high RECQ1 expression associated with a poor prognosis.

Background Apolipoprotein E (Apo E) is a 36 Kda glycoprotein involved in lipid transport. It exists in 3 major isoforms: E2, E3 and E4. ApoE status is known to be a major risk factor for late-onset Alzheimer's and cardiovascular diseases. Genotyping is commonly used to obtain ApoE status but can show technical issues with ambiguous determinations. Phenotyping can be an alternative, not requiring genetic material. We evaluated the ability to accurately type ApoE isoforms by 2 phenotyping tests in comparison with genotyping. Methods Two phenotyping techniques were used: (1) LC–MS/MS detection of 4 ApoE specific peptides (6490 Agilent triple quadripole): After its denaturation, serum was either reduced and alkylated, or only diluted, and then trypsin digested. Before analysis, desalting, evaporation and resuspension were performed. (2) Isoelectric focusing and immunoprecipitation: serum samples were neuraminidase digested, delipidated and electrophoresed on Hydragel ApoE (Sebia agarose gel) using Hydrasys 2 Scan instrument (Sebia, Lisses, France). ApoE isoforms bands were directly immunofixed in the gel using a polyclonal anti human ApoE antibody. Then, incubation of the gel with HRP secondary antibody followed by TTF1/TTF2 substrate allowed the visualization of ApoE bands. The results of the two techniques were compared to genotyping. Results Sera from 35 patients previously genotyped were analyzed with the 2 phenotyping techniques. 100% concordance between both phenotyping assays was obtained for the tested phenotypes (E2/E2, E2/E3, E2/E4, E3/E3, E3/E4, E4/E4). When compared to genotyping, 3 samples were discordant. After reanalyzing them by both phenotyping tests and DNA sequencing, 2/3 discrepancies were confirmed. Those can be explained by variants or rare ApoE alleles or by unidentified technical issues. 102 additional samples were then tested on LC–MS/MS only and compared to genotyping. The data showed 100% concordance. Conclusion Our 2 phenotyping methods represent a valuable alternative to genotyping. LC–MS/MS has the advantage of being fully specific, with identification of the different isoforms and can be considered as a reference method. Sebia isofocusing technique was concordant with LC–MS/MS. Plus, it is a rapid, semi-automated assay that can be easily implemented in clinical laboratories.

International audience; To improve the etiological diagnosis of neurodegenerative dementias like Alzheimer's disease (AD) or frontotemporal dementia (FTD), we evaluated the value of individual and combined measurements of the following relevant cerebrospinal fluid (CSF) biomarkers: Tau, 181p-Tau, Aβ38, Aβ40, Aβ42, sAβPPα, and sAβPPβ. This study conducted in two centers included patients with FTD (n = 34), AD (n = 52), as well as a control group of persons without dementia (CTRL, n = 42). Identical clinical criteria and pre-analytical conditions were used while CSF biomarkers were measured using commercial single and multiplex quantitative immunoassays. Thorough statistical analyses, including ROC curves, logistic regressions, and decision trees, were performed. We validated in AD the specific increase of p-Tau levels and the decrease of Aβ42 levels, two biological hallmarks of this disease. Tau concentrations were highest in AD and intermediate in FTD when compared to CTRL. The most interesting results were obtained by focusing on amyloid biomarkers as we found out in FTD a significant decrease of sAβPPβ, Aβ38, and Aβ40 levels. Aβ38 in particular was the most useful biomarker to differentiate FTD subjects from the CTRL population. Combining p-Tau and Aβ38 led us to correctly classifying FTD patients with sensitivity at 85% and specificity at 82%. Significant changes in amyloid biomarkers, particularly for Aβ38, are therefore seen in FTD. This could be quite useful for diagnosis purposes and it might provide additional evidence on the interrelationship between Tau and AβPP biology which understanding is essential to progress towards optimal therapeutic and diagnostic approaches of dementia.

International audience; Detection of autoantibodies, which are involved in tissue injury and/or the reporters from the immune system of various pathologic events, has an important potential for diagnosis, prognosis, disease staging and treatment selection. This explains the interest for new proteomics technologies, such as the high-density protein microarray used here, that allow a high-throughput, multiplexed and sensitive detection of specific autoantibodies. So far, most of the research has been performed on blood. In this note, we focus on the cerebrospinal fluid in an attempt to address autoimmune events associated with neurological disorders. Importantly, the cerebrospinal fluid is quite different from the blood in terms of protein composition and concentration. We had therefore to adapt the available blood protocols. We present here the result of our optimization that will be useful to carry out full scale immunological studies of the cerebrospinal fluid using high-density protein microarrays.

International audience; In assisted reproduction, about 30% of embryo implantation failures are related to inadequate endometrial receptivity. To identify molecules involved in endometrial receptivity acquisition, we investigated, using a SELDI-TOF approach, the protein expression profile of early-secretory and mid-secretory endometrium samples. Among the proteins upregulated in mid-secretory endometrium, we investigated the function of S100A10 in endometrial receptivity and implantation process. S100A10 was expressed in epithelial and stromal cells of the endometrium of fertile patients during the implantation windows. Conversely, it was downregulated in the mid-secretory endometrium of infertile patients diagnosed as non-receptive. Transcriptome analysis of human endometrial epithelial and stromal cells where S100A10 was silenced by shRNA revealed the deregulation of 37 and 256 genes, respectively, related to components of the extracellular matrix and intercellular connections. Functional annotations of these deregulated genes highlighted alterations of the leukocyte extravasation signaling and angiogenesis pathways that play a crucial role during implantation. S100A10 silencing also affected the migration of primary endometrial epithelial and stromal cells, decidualization and secretory transformation of primary endometrial stromal cells and epithelial cells respectively, and promoted apoptosis in serum-starved endometrial epithelial cells. Our findings identify S100A10 as a player in endometrial receptivity acquisition.

International audience; Background: Proteomics analysis of human cerebrospinal fluid (CSF) is a major tool for identifying novel biomarkers for neurological diseases. However, the complexity and wide dynamic range of CSF represent a major challenge for detecting specific low-abundance biomarkers. One way to overcome this problem is to rely on different pre-fractionation techniques. However, the most relevant technique remains to be determined. Methods: This study compared three different well-known pre-fractionation methods: immuno-depletion of major proteins (Seppro® IgY14), hydrophobic solid phase extraction (Oasis® HLB), and lipophilic sorbent concentration (Liposorb™). Unfractionated and pre-fractionated CSF was digested with trypsin and analyzed by RP-LC-MS/MS with an OrbitrapTM mass spectrometer. We documented the number of peptides detected and sets of proteins identified. Experiments were repeated to minimize pre-analytical and analytical variability.Results: Compared to unfractionated CSF, the OASIS® HLB fractionated CSF method showed a significant 28% increase in the total number of proteins identified, while the Liposorb™ capture resulted in a significant 46% decrease. Interestingly, results based on the number of peptides detected were different. We also evaluated the capacity of these pre-fractionation methods to detect different proteins in terms of their molecular weight, isoelectrophoretic point (IEP) or nature. Each of these pre-fractionation methods identified a specific subset of proteins, when compared to unfractionated CSF, and/or other methods. This was particularly obvious for the lipophilic sorbent, which allowed the detection of many lipoproteins.Conclusion: Direct analysis of digested CSF led to the identification of several proteins despite matrix complexity. As expected, single pre-fractionation methods that can be included in simple and cost-effective workflows, yielded significant differences in terms of number, or range of proteins identified. This suggests that a single pre-fractionation method cannot cover the full range of protein species present in a complex sample

addition, the results show a statistically significant improvement in clinician confidence for their diagnosis. In comparison with BNA data, patients were younger and more frequently diagnosed with AD. Conclusions: Clinicians tend to heavily rely on the CSF AD biomarkers results and are more confident in their diagnoses using CSF AD biomarkers. Thus, these biomarkers appear as a key tool in clinical practice.

Background: The use of dried blood spots on filter paper is well documented as an affordable and practical alternative to classical venous sampling for various clinical needs. This technique has indeed many advantages in terms of collection, biological safety, storage, and shipment. Amyloid β (A β ) peptides are useful cerebrospinal fluid (CSF) biomarkers for Alzheimer disease diagnosis. However, A β determination is hindered by preanalytical difficulties in terms of sample collection and stability in tubes. Methods: We compared the quantification of A β peptides (1 – 40, 1 – 42, and 1 – 38) by simplex and multiplex ELISA, following either a standard operator method (liquid direct quantification) or after spotting CSF onto dried matrix paper card. Results: The use of dried matrix spot (DMS) overcame preanalytical problems and allowed the determination of A β concentrations that were highly commutable (BlandAltman) with those obtained using CSF in classical tubes. Moreover, we found a positive and significant correlation (r 2 = 0.83, Pearson coefficient p = 0.0329) between the two approaches. Conclusions: This new DMS method for CSF represents an interesting alternative that increases the quality and efficiency in preanalytics. This should enable the better exploitation of A β analytes for Alzheimer ’ s diagnosis.

Clinical Proteomics biomarker discovery programs lead to the selection of putative new biomarkers of human pathologies. Following an initial discovery phase, validation of these candidates in larger populations is a major task that recently started relying upon the use of mass spectrometry approaches, especially in cases where classical immune-detection methods were lacking. Thanks to highly sensitive spectrometers, adapted measurement methods like selective reaction monitoring (SRM) and various pre-fractionation methods, the quantitative detection of protein/peptide biomarkers in low concentrations is now feasible from complex biological fluids. This possibility leads to the use of similar methodologies in clinical biology laboratories, within a new proteomic field that we shall name “Clinical Chemistry Proteomics” (CCP). Such evolution of Clinical Proteomics adds important constraints with regards to the in vitro diagnostic (IVD) application. As measured values of analytes will be used to diagnose, follow-up and adapt patient treatment on a routine basis; medical utility, robustness, reference materials and clinical feasibility are among the new issues of CCP to consider.

Cerebrospinal fluid (CSF) biomarkers are now widely used for diagnosis of Alzheimer disease (AD) in atypical clinical forms, for differential and early diagnosis, or for stratification of patients in clinical trials. Among these biomarkers, different forms of amyloid peptides (Aβ) produced by the cleavage of a transmembrane precursor protein called APP (amyloid precursor protein) have a major role. Aβ peptides exist in different length the most common ones having 40 (Aβ40), 42 (Aβ42), or 38 (Aβ38) amino acids in length. APP processing by gamma-secretase releases also an amino-terminal secreted fragment called sAβPP-beta while an alternative nonamyloidogenic cleavage of APP, through an alpha-secretase, liberates another fragment called sAβPP-alpha. To decipher the molecular and pathological mechanisms leading to the production and the detection of these entities is essential for the comprehension and the prevention of AD. In this report, we present the results of the multiplex measurement of CSF Aβ38, Aβ40, Aβ42, sAβPP-alpha, and sAβPP-beta in 60 patients mostly with dementia eventually segregated between neurochemical dementia diagnostic (NDD) positive and negative groups. The NDD classification was based on our routine Tau, P-tau(181), and Aβ(42) cutoff values. We confirmed previous findings regarding the correlation between sAβPP-alpha and sAβPP-beta, as well as the potential interest of these new biomarkers. We also studied the correlation between sAβPPs and Aβ peptides, as well as between Aβ peptides themselves. We observed a strong correlation between Aβ38 and sAβPP-beta which suggested that the production of this peptide was in direct relation with β secretase activities. We also reported a strong correlation between Aβ38 and Aβ40, while Aβ42 was correlated to these fragments only in nonpathological situations. These results enlighten the complex relationships between these molecular markers in both physiological and pathological situations. Our results are important for the further use of these analytes for AD diagnosis as well as for validating the cell biological hypotheses of APP processing and Aβ fragment production.

Background: Severe asthma is characterized by neutrophilic inflammation and high levels of interleukin (IL)-8. Airway epithelial cells play a pivotal role in the pathogenesis and chronicity of asthma. The objective of this work was to determine whether CXC receptors were involved in human small airway epithelial cell (SAEC) activity by incubating them with IL-8; the investigation also included a proteomic approach. Methods: IL-6 and intercellular adhesion molecule-1 (ICAM-1) were assessed by ELISA and flow cytometry, respectively. CXCR-1 and CXCR-2 receptor mRNA and protein expressions were analyzed by RT-PCR, immunocytochemistry and flow cytometry. Cells were incubated with different concentrations (0–100 ng/ml) of IL-8. The involvement of both receptors was assessed using specific antibodies. Results: Only the CXCR-1 receptor was expressed in SAECs. IL-8 (50 ng/ml, 12 h) induced the release of IL-6 and had no effect on ICAM-1. Supernatants analyzed by surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF MS) showed very weak differences in peptide profiles. Interestingly, 4,820-m/z peptide release was detected in the presence of IL-8 and abolished by CXCR-1 antibody. Discussion: The present study illustrated the fact that IL-8 mediated by CXCR-1 increased IL-6. We also highlight the usefulness of SELDI ProteinChip technology to confirm the potential variation of peptide profile. Moreover, we were able to detect the 4,820-m/z peptide secreted in vitro by human airway epithelial cells induced by IL-8 via CXCR-1 receptor. Determination of the protein secretion profile in response to inflammatory stimuli could be an important therapeutic strategy in severe asthma.

International audience; Depletion of major blood proteins is one of the most promising approaches to access low abundant biomarkers using proteomics. Immunocapture columns often used for this purpose exist in different formats depending on the number of major proteins removed. In this article, we compared the relative interest of depleting either one (albumin), six (albumin, IgG, IgA, transferrin, α1-antitrypsin, and haptoglobin), twelve (the previous six and apo A-I and-II, orosomucoid, α2-macroglobulin, fibrinogen, IgM) or twenty blood proteins (the previous twelve and IgD, ceruloplasmin, apo B, complement C1q, C3, C4, plasminogen, and prealbumin). Such study raises interesting issues related to the reproducibility, practicability, specificity of the immunocapture, and to the impact of removing not only the selected molecules, but also associated peptides and proteins. Depleted sera were here analysed using different proteomic approaches, including two dimensional electrophoresis and SELDI–TOF. Altogether, our results clearly confirmed the interest of depleting major blood proteins for the proteomic detection of low abundant components. However, we observed that increasing the number of depleted proteins from twelve to twenty had a limited beneficial impact and might increase drawbacks in removing associated peptides and proteins. This conclusion is however related to the technologies that we have used, and we believe that it is necessary to adapt the immunocapture to the analytical method employed, and to the ratio between wanted and unwanted proteins removed.

Background Surface-Enhanced Laser Desorption/Ionization – Time Of Flight (SELDI-TOF) has been proposed as new approach for blood biomarker discovery. However, results obtained so far have been often disappointing as this technique still has difficulties to detect low-abundant plasma and serum proteins. Results We used a serum depletion scheme using chicken antibodies against various abundant proteins to realized a pre-fractionation of serum prior to SELDI-TOF profiling. Depletion of major serum proteins by immunocapture was confirmed by 1D and 2D gel electrophoresis. SELDI-TOF analysis of bound and unbound (depleted) serum fractions revealed that this approach allows the detection of new low abundant protein peaks with satisfactory reproducibility. Conclusion The combination of immunocapture and SELDI-TOF analysis opens new avenues into proteomic profiling for the discovery of blood biomarkers.

Introduction Le diagnostic positif des affections neurodegeneratives et en particulier de la maladie d’Alzheimer (MA) devient une exigence pour la prise en charge des patients et pour l’evaluation des nouvelles molecules “anti-demence”. Actuellement, le diagnostic de MA combine de donnees anamnestiques, cliniques, neuropsychologiques, d’imagerie morphologique ou fonctionnelle, et recemment des biomarqueurs dans le liquide cephalo-rachidien. Les donnees sur les marqueurs plasmatiques, en particulier l’Abeta restent decevantes. L’objectif principal de notre etude est d’identifier de nouvelles proteines plasmatiques ou seriques par technique de proteomique permettant d’optimiser le diagnostic positif de la MA. Materiel/methode 70 prelevements de patients atteints de troubles cognitifs sont analyses par proteomique differentielle de type SELDI (“Surface enhanced laser desorption/ionization time-of-flight mass spectrometry”). Ce systeme de “puces a proteine” (Bio-Rad) permet de capturer des proteines sur differentes surfaces chromatographiques et de les detecter en spectrometrie de masse. Trois groupes de patients sont compares : 1/ MA, 2/ demence non MA, 3/ affection neurologique sans atteinte cognitive. Ce protocole est valide par le comite d’ethique, le CPP et la CNIL. Resultats La premiere partie du travail a permis de valider une methode de prefractionnement des prelevements permettant d’optimiser la detection des marqueurs proteiques de faible concentration. La detection proteique par SELDI a permis de selectionner de nouveaux marqueurs potentiels permettant de differencier le groupe MA des autres demences. Certains sont en cours d’identification en spectrometrie de masse. Conclusion La recherche de biomarqueurs sanguins represente un enjeu majeur dans le cadre du diagnostic positif de la MA. L’interet clinique et la pertinence physiopathologique des biomarqueurs potentiels selectionnes dans notre etude semblent des plus prometteurs.

In this manuscript, we compared serum profiles obtained with two related technologies, SELDI-TOF and Clinprot, using a single bioinformatic algorithm. These two approaches rely on mass spectrometry to detect proteins and peptides initially selected by binding to various chromatographic matrices. They are proposed by two different companies, and they are competing for being the reference in high throughput serum profiling for clinical proteomics. This independent evaluation of these two technologies put the light on some of their differences, suggests that they address different proteome fractions and, thus, could be complementary. Taken together, our data could contribute to the parameters relevant for the choice of one technology or the other.