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Acute pancreatitis is an inflammatory disease of the pancreas, which can result in serious morbidity or death. Acute pancreatitis severity can be reduced in experimental models by preconditioning animals with a short hyperthermia prior to disease induction. Heat shock proteins 27 and 70 are key effectors of this protective effect. In this study, we performed a comparative proteomic analysis using a combination of liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis and isobaric tagging to investigate changes in pancreatic proteins expression that were associated with thermal stress, both in healthy rats and in a model of caerulein-induced pancreatitis. In agreement with previous studies, we observed modulation of heat shock and inflammatory proteins expression in response to heat stress or pancreatitis induction. We also identified numerous other proteins, whose pancreatic level changed following pancreatitis induction, when acute pancreatitis severity was reduced by prior thermal stress, or in healthy rats in response to hyperthermia. Interestingly, we showed that the expression of various proteins associated with the secretory pathway was modified in the different experimental models, suggesting that modulation of this process is involved in the protective effect against pancreatic tissue damage.

In bottom-up proteomics, rapid and efficient protein digestion is crucial for data reliability. However, sample preparation remains one of the rate-limiting steps in proteomics workflows. In this study, we compared the conventional trypsin digestion procedure with two accelerated digestion protocols based on shorter reaction times and microwave-assisted digestion for the preparation of membrane-enriched protein fractions of the human pathogenic bacterium Staphylococcus aureus. Produced peptides were analyzed by Shotgun IPG-IEF, a methodology relying on separation of peptides by IPG-IEF before the conventional LC-MS/MS steps of shotgun proteomics. Data obtained on two LC-MS/MS platforms showed that accelerated digestion protocols, especially the one relying on microwave irradiation, enhanced the cleavage specificity of trypsin and thus improved the digestion efficiency especially for hydrophobic and membrane proteins. The combination of high-throughput proteomics with accelerated and efficient sample preparation should enhance the practicability of proteomics by reducing the time from sample collection to obtaining the results.

Bile is a body fluid produced by the liver and drained by biliary ducts into the duodenum. It has two major functions: first, it contains bile acids, which are critical for the digestion of fats, and second, it is an excretory pathway for many endogenous and exogenous compounds. Proteomic analysis of bile is particularly difficult since this fluid contains high concentrations of various substances that strongly interfere with protein separation and identification techniques. Furthermore, owing to its deep location in the body, bile must be collected by surgical or endoscopic procedures. However, as was speculated for other body fluids, bile appears to be a promising sample for the discovery of disease biomarkers leaking from proximal tissues: the liver, pancreas or biliary tree. The interest in clinical proteomics was demonstrated by two studies that identified in bile potential biomarkers for two deadly and difficult to diagnose neoplasms, pancreatic cancer and cholangiocarcinoma.

Acute pancreatitis (AP) is an inflammatory disease of the pancreas, which evolves in approximately 20% of the patients to a severe illness associated with a high mortality rate. In this study, we performed a comparative proteomic analysis of pancreatic tissue extracts from rats with AP and healthy rodent controls in order to identify changes in protein expression related to the pathobiological processes of this disease. Pancreatic extracts from diseased and controls rats were analyzed by 2-DE and MS/MS. A total of 125 proteins were identified from both samples. Comparative analysis allowed the detection of 42 proteins or protein fragments differentially expressed between diseased and control pancreas, some of them being newly described in AP. Interestingly, these changes were representative of the main pathobiological pathways involved in this disease. We observed activation of digestive proteases and increased expression of various inflammatory markers, including several members of the alpha-macroglobulin family. We also detected changes related to oxidative and cell stress responses. Finally, we highlighted modifications of 14-3-3 proteins that could be related to apoptosis regulation. These results showed the interest of proteomic analysis to identify changes characterizing pancreatic tissue damage and, therefore, to highlight new potential biomarkers of AP.

Podocytes (glomerular visceral epithelial cells) release vesicles into urine. Podocyte vesicle-enriched fractions from normal and pathological human urine samples were prepared for proteomic analysis. An immunoadsorption method was applied and enrichment of podocyte vesicles was assessed. We identified 76 unique proteins. One protein, serum paraoxonase/arylesterase 1 (PON-1), was newly identified in normal human urine sample. We confirmed this result and showed PON-1 expression in normal human kidney. These results demonstrated the potential for using the urine samples enriched in podocyte vesicles as a starting material in studies aimed at discovery of biomarkers for diseases.

Busulfan is a bifunctional alkyl sulfonate antineoplastic drug. This alkylating agent was described as forming covalent adducts on proteins. However, only limited data are available regarding the interaction of busulfan with proteins. Mass spectrometry and bioinformatics were used to identify busulfan adducts on human serum albumin and hemoglobin.Albumin and hemoglobin were incubated with busulfan or control compounds, digested with trypsin and analyzed by liquid chromatography/tandem mass spectrometry (LC/MS/MS) on a Thermo Fisher LTQ Orbitrap Velos Pro. MS data were used to generate spectral libraries of non-modified peptides and an open modification search was performed to identify potential adduct mass shifts and possible modification sites. Results were confirmed by a second database search including identified mass shifts and by visual inspection of annotated tandem mass spectra of adduct-carrying peptides.Five structures of busulfan adducts were detected and a chemical structure could be attributed to four of them. Two were primary adducts corresponding to busulfan monoalkylation and alkylation of two amino acid residues by a single busulfan molecule. Two others corresponded to secondary adducts generated during sample processing. Adducts were mainly detected on Asp, Glu, and His residues. These findings were confirmed by subsequent database searches and experiments with synthetic peptides.The combination of in vitro incubation of proteins with the drug of interest or control compounds, high-resolution mass spectrometry, and open modification search allowed confirmation of the direct interaction of busulfan with proteins and characterization of the resulting adducts. Our results also showed that careful analysis of the data is required to detect experimental artifacts. Copyright © 2016 John WileySons, Ltd.

Collection of human whole blood for genomic DNA extraction is part of numerous clinical studies. Since DNA extraction cannot always be performed at the time of sample collection, whole blood samples may be stored for years before being processed. The use of appropriate storage conditions is then critical to obtain DNA in sufficient quantity and of adequate quality in order to obtain reliable results from the subsequent molecular biological analyses. In this study, EDTA whole blood samples were collected from 8 healthy volunteers, and different durations (up to 1 year) and temperatures (room temperature, 4°C, -20°C, and -80°C) of storage were compared. The effect of the addition of a DNA preservative agent was also assessed before and after storage. DNA concentrations measured by UV spectrophotometry and spectrofluorometry were used to calculate DNA extraction yields and double-strand DNA ratios. DNA integrity was controlled by agarose gel electrophoresis and long-range polymerase chain reaction. The impact of storage conditions on DNA methylation was also evaluated. Results showed that certain storage conditions have a significant impact on the DNA extraction yield but little or no effect on DNA integrity and methylation. Storage of EDTA blood at -80°C guarantees high-quality DNA with a good yield. Higher DNA extraction yields were obtained with the addition of a DNA preservative agent before thawing EDTA blood stored at -20°C or -80°C. Long-term storage at room temperature in the presence of a DNA preservative agent also appeared to be a reliable procedure.

The ability to accurately quantify proteins in formalin-fixed paraffin-embedded tissues using targeted mass spectrometry opens exciting perspectives for biomarker discovery. We have developed and evaluated a selected reaction monitoring assay for the human receptor tyrosine-protein kinase erbB-2 (HER2) in formalin-fixed paraffin-embedded breast tumors. Peptide candidates were identified using an untargeted mass spectrometry approach in relevant cell lines. A multiplexed assay was developed for the six best candidate peptides and evaluated for linearity, precision and lower limit of quantification. Results showed a linear response over a calibration range of 0.012 to 100 fmol on column (R2: 0.99-1.00).The lower limit of quantification was 0.155 fmol on column for all peptides evaluated. The six HER2 peptides were quantified by selected reaction monitoring in a cohort of 40 archival formalin-fixed paraffin-embedded tumor tissues from women with invasive breast carcinomas, which showed different levels of HER2 gene amplification as assessed by standard methods used in clinical pathology. The amounts of the six HER2 peptides were highly and significantly correlated with each other, indicating that peptide levels can be used as surrogates of protein amounts in formalin-fixed paraffin-embedded tissues. After normalization for sample size, selected reaction monitoring peptide measurements were able to correctly predict 90% of cases based on HER2 amplification as defined by the American Society of Clinical Oncology and College of American Pathologists. In conclusion, the developed assay showed good analytical performances and a high agreement with immunohistochemistry and fluorescence in situ hybridization data. This study demonstrated that selected reaction monitoring allows to accurately quantify protein expression in formalin-fixed paraffin-embedded tissues and represents therefore a powerful approach for biomarker discovery studies. The untargeted mass spectrometry data is available via ProteomeXchange whereas the quantification data by selected reaction monitoring is available on the Panorama Public website.

Background. We elaborated a model that predicts the centiles of the 25(OH)D distribution taking into account seasonal variation.Methods. Data from two Swiss population-based studies were used to generate (CoLaus) and validate (Bus Santé) the model. Serum 25(OH)D was measured by ultra high pressure LC-MS/MS and immunoassay. Linear regression models on square-root transformed 25(OH)D values were used to predict centiles of the 25(OH)D distribution. Distribution functions of the observations from the replication set predicted with the model were inspected to assess replication.Results. Overall, 4,912 and 2,537 Caucasians were included in original and replication sets, respectively. Mean (SD) 25(OH)D, age, BMI, and % of men were 47.5 (22.1) nmol/L, 49.8 (8.5) years, 25.6 (4.1) kg/m2, and 49.3% in the original study. The best model included gender, BMI, and sin-cos functions of measurement day. Sex- and BMI-specific 25(OH)D centile curves as a function of measurement date were generated. The model estimates any centile of the 25(OH)D distribution for given values of sex, BMI, and date and the quantile corresponding to a 25(OH)D measurement.Conclusions. We generated and validated centile curves of 25(OH)D in the general adult Caucasian population. These curves can help rank vitamin D centile independently of when 25(OH)D is measured.

Following any form of brain insult, proteins are released from damaged tissues into the cerebrospinal fluid (CSF). This body fluid is therefore an ideal sample to use in the search for biomarkers of neurodegenerative disorders and brain damage. In this study, we used human post-mortem CSF as a model of massive brain injury and cell death for the identification of such protein markers. Pooled post-mortem CSF samples were analyzed using a protocol that combined immunoaffinity depletion of abundant CSF proteins, off-gel electrophoresis, SDS-PAGE and protein identification by LC-MS/MS. A total of 299 proteins were identified, of which 172 proteins were not previously described to be present in CSF. Of these 172 proteins, more than 75% have been described as intracellular proteins suggesting that they were released from damaged cells. Immunoblots of a number of proteins were performed on individual post-mortem CSF samples and confirmed elevated concentrations in post-mortem CSF compared to ante-mortem CSF. Interestingly, among the proteins specifically identified in the post-mortem CSF, several have been previously described as biochemical markers of brain damage.

Early diagnosis and immediate therapeutic interventions are crucial factors to reduce the damage extent and the risk of death. Currently, the diagnosis of stroke relies on neurological assessment of the patient and neuro-imaging techniques including computed tomography and/or magnetic resonance imaging scan. An early diagnostic marker of stroke, ideally capable to discriminate ischemic from hemorrhagic stroke would considerably improve patient acute management. Using surface-enhanced laser desorption/ionization (SELDI) technology, we aimed at finding new early diagnostic plasmatic markers of stroke. Strong anionic exchange (SAX) SELDI profiles of plasma samples from 21 stroke patients were compared to 21 samples from healthy controls. Seven peaks appeared to be differentially expressed with significant p values (p < 0.05). Proteins were stripped from the SAX chips, separated on a one-dimensional electrophoresis (1-DE) gel and stained using mass spectrometry (MS)-compatible silver staining. Following in-gel tryptic digestion, the peptides were analyzed by MS. Four candidate proteins were identified as apolipoprotein CI (ApoC-I), apolipoprotein CIII (ApoC-III), serum amyloid A (SAA), and antithrombin-III fragment (AT-III fragment). Assessment of ApoC-I and ApoC-III levels in plasma samples using a sandwich enzyme-linked immunosorbent assay (ELISA) allowed to distinguish between hemorrhagic (n = 15) and ischemic (n = 16) stroke (p < 0.001). To the best of our knowledge, ApoC-I and ApoC-III are the first reported plasmatic biomarkers capable to accurately distinguish between ischemic and hemorrhagic stroke in a small number of patients. It requires further investigation in a large cohort of patients.

The definite diagnosis of Creutzfeldt-Jakob disease (CJD), the most common form of human prion diseases, relies upon neuropathological data usually obtained at autopsy. In living patients, the diagnosis, based on suggestive clinical features and EEG abnormalities, can be aided by the detection of altered levels of isoforms of the 14-3-3 protein in the cerebrospinal fluid (CSF). However, the validity of this test has been recently challenged and the search for other, more reliable biomarkers for CJD remains highly desirable. The present study describes the identification of a new potential surrogate marker in the CSF of CJD-affected patients. A preliminary study employing surface-enhanced laser desorption/ionization-time of flight (SELDI-TOF) technology highlighted a protein at 13.4 kDa in a small group (n = 8) of CJD-affected patients. Further analysis aimed at identifying this protein using cationic exchange chromatography, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), and liquid chromatography-tandem mass spectrometry (LC-MS/MS) revealed it to be cystatin C. Additional immunoblot assays confirmed that the level of cystatin C was significantly increased (p

Objective To determine the prognostic accuracy of cardiac biomarkers alone and in combination with clinical scores in elderly patients with non-high-risk pulmonary embolism (PE). Design Ancillary analysis of a Swiss multicentre prospective cohort study. Subjects A total of 230 patients aged ≥65 years with non-high-risk PE. Main outcome measures The study end-point was a composite of PE-related complications, defined as PE-related death, recurrent venous thromboembolism or major bleeding during a follow-up of 30 days. The prognostic accuracy of the Pulmonary Embolism Severity Index (PESI), the Geneva Prognostic Score (GPS), the precursor of brain natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) was determined using sensitivity, specificity, predictive values, receiver operating characteristic (ROC) curve analysis, logistic regression and reclassification statistics. Results The overall complication rate during follow-up was 8.7%. hs-cTnT achieved the highest prognostic accuracy [area under the ROC curve: 0.75, 95% confidence interval (CI): 0.63–0.86, P

Complex I is the most complicated of the multimeric enzymes that constitute the mitochondrial respiratory chain. It is encoded by both mitochondrial and nuclear genomes. We have previously characterized the human NDUFS8 gene that encodes the TYKY subunit. This essential subunit is thought to participate in the electron transfer and proton pumping activities of complex I. Here, we have analyzed the transcriptional regulation of the NDUFS8 gene. Using primer extension assays, we have identified two transcription start sites. The basal promoter was mapped to a 247 bp sequence upstream from the main transcription start site by reporter gene analysis in HeLa cells and in differentiated or non-differentiated C2C12 cells. Three Sp1 sites and one YY1 site were identified in this minimal promoter. Through gel shift analysis, all sites were shown to bind to their cognate transcription factors. Site-directed mutagenesis revealed that the YY1 site and two upstream adjacent Sp1 sites drive most of the promoter activity. This work represents the first promoter analysis for a complex I gene. Together with previous studies, our results indicate that YY1 and Sp1 control the expression of genes encoding proteins that are involved in almost all steps of the oxidative phosphorylation metabolism.

Background: Formal method validation for biospecimen processing in the context of accreditation in laboratories and biobanks is lacking. Serum and plasma processing protocols were validated for fitness-for-purpose in terms of key downstream endpoints, and this article demonstrates methodology for biospecimen processing method validation. Methods: Serum and plasma preparation from human blood was optimized for centrifugation conditions with respect to microparticle counts. Optimal protocols were validated for methodology and reproducibility in terms of acceptance criteria based on microparticle counts, DNA and hemoglobin concentration, and metabolomic and proteomic profiles. These parameters were also used to evaluate robustness for centrifugation temperature (4°C versus room temperature [RT]), deceleration (low, medium, high) and blood stability (after a 2-hour delay). Results: Optimal protocols were 10-min centrifugation for serum and 20-min for plasma at 2000 g, medium brake, RT. Methodology and reproducibility acceptance criteria were met for both protocols except for reproducibility of plasma metabolomics. Overall, neither protocol was robust for centrifugation at 4°C versus RT. RT gave higher microparticles and free DNA yields in serum, and fewer microparticles with less hemolysis in plasma. Overall, both protocols were robust for fast, medium, and low deceleration, with a medium brake considered optimal. Pre-centrifugation stability after a 2-hour delay was seen at both temperatures for hemoglobin concentration and proteomics, but not for microparticle counts. Conclusions: We validated serum and plasma collection methods suitable for downstream protein, metabolite, or free nucleic acid-based applications. Temperature and pre-centrifugation delay can influence analytic results, and laboratories and biobanks should systematically record these conditions in the scope of accreditation.

Background The use of targeted LC-MS/MS methods for protein quantitation in clinical laboratories implies a careful evaluation of potential sources of analytical interference. In this study, we investigated whether inflammation, which is associated with both the release of proteolytic enzymes and increased expression of acute phase protease inhibitors, is affecting the accuracy of a haptoglobin selected reaction monitoring (SRM) assay. Results A SRM assay was developed and used to quantify haptoglobin in 57 human serum samples. The SRM assay had CVs (n = 6) of 12.9% at 698 mg/L and 11.8% at 1690 mg/L. Results of the SRM assay were compared to those of a commercial immunonephelometric test. Passing-Bablok regression gave a proportional bias of 0.92 (95% CI: 0.82 to 1.04) and a constant bias of 75.40 (95% CI: −71.09 to 251.04), indicating that SRM and immunonephelometric assays provided comparable results. We then investigated whether the accuracy of the SRM assay was influenced by the patient’s inflammatory state by assessing the relationship between the serum CRP concentration and the bias between the two methods. No correlation was found between the SRM/immunoassay bias and the CRP concentration (Pearson correlation coefficient r = 0.0898). Conclusions These data indicate that neither the release of proteolytic enzymes nor the increased level of protease inhibitors occurring during inflammation processes have a significant impact on the haptoglobin SRM assay accuracy. Such studies provide important information about potential sources of analytical interferences in protein SRM assays. Electronic supplementary material The online version of this article (doi:10.1186/1559-0275-11-38) contains supplementary material, which is available to authorized users.

International audience; Proteomics will celebrate its 20th year in 2014. In this relatively short period of time, it has invaded most areas of biology and its use will probably continue to spread in the future. These two decades have seen a considerable increase in the speed and sensitivity of protein identification and characterization, even from complex samples. Indeed, what was a challenge twenty years ago is now little more than a daily routine. Although not completely over, the technological challenge now makes room to another challenge, which is the best possible appraisal and exploitation of proteomic data to draw the best possible conclusions from a biological point of view. The point developed in this paper is that proteomic data are almost always fragmentary. This means in turn that although better than an mRNA level, a protein level is often insufficient to draw a valid conclusion from a biological point of view, especially in a world where PTMs play such an important role. This means in turn that transformation of proteomic data into biological data requires an important intermediate layer of functional validation, i.e. not merely the confirmation of protein abundance changes by other methods, but a functional appraisal of the biological consequences of the protein level changes highlighted by the proteomic screens.

Proteomics is a key tool in the identification of new bile biomarkers for differentiating malignant and nonmalignant biliary stenoses. Unfortunately, the complexity of bile and the presence of molecules interfering with protein analysis represent an obstacle for quantitative proteomic studies in bile samples. The simultaneous need to introduce purification steps and minimize the use of pre-fractionation methods inevitably leads to protein loss and limited quantifications. This dramatically reduces the chance of identifying new potential biomarkers. In the present study, we included differential centrifugation as a preliminary step in a quantitative proteomic workflow involving iTRAQ labeling, peptide fractionation by OFFGEL electrophoresis and LC-MS/MS, to compare protein expression in bile samples collected from patients with malignant or nonmalignant biliary stenoses. A total of 1267 proteins were identified, including a set of 322 newly described bile proteins, mainly belonging to high-density cellular fractions. The subsequent comparative analysis led to a 5-fold increase in the number of quantified proteins over previously published studies and highlighted 104 proteins overexpressed in malignant samples. Finally, immunoblot verifications performed on a cohort of 8 malignant (pancreatic adenocarcinoma, n=4; cholangiocarcinoma, n=4) and 5 nonmalignant samples (chronic pancreatitis, n=3; biliary stones, n=2) confirmed the results of proteomic analysis for three proteins: olfactomedin-4, syntenin-2 and Ras-related C3 botulinum toxin substrate 1. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.

Differentiating malignant from nonmalignant biliary stenoses is challenging. This could be facilitated by the measurement of cancer biomarkers in bile. We aimed at (i) identifying new cancer biomarkers by comparative proteomic analysis of bile collected from patients with a malignant or benign biliary stenosis (exploratory phase) and (ii) verifying the accuracy of the newly identified potential biomarkers for discriminating malignant versus nonmalignant biliary stenoses in a larger group of patients (confirmation phase). Overall, 66 proteins were found overexpressed (ratio>1.5) in at least one cancer condition using proteomic analysis and 7 proteins were increased in all malignant/nonmalignant disease comparisons. Preliminary screening by immunoblot highlighted carcinoembryonic cell adhesion molecule 6 (CEAM6), a cell surface protein overexpressed in many human cancers, as an interesting candidate biomarker. ELISA subsequently confirmed CEAM6 as a potential bile biomarker for distinguishing malignant from benign biliary stenoses with a receiver operating characteristic (ROC) area under the curve (AUC) of 0.92 (specificity 83%, sensitivity 93%, positive predictive value 93%, and negative predictive value 83%). No significant difference in serum CEAM6 level was found between malignant and nonmalignant samples. Combining bile CEAM6 and serum CA19-9 in a panel further improved diagnostic accuracy for malignant stenoses (AUC 0.96, specificity 83%, sensitivity 97%, positive predictive value 93%, and negative predictive value 91%). CEAM6 measurement in bile could be clinically useful to discriminate between malignant and nonmalignant causes of biliary stenosis. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.

Acute pancreatitis is an inflammatory disease of the pancreas, which varies greatly in course and severity. Severe forms are associated with serious local and/or systemic complications, and eventually death. The pathobiology of acute pancreatitis is complex. Animal models have been developed to investigate pathobiological processes and identify factors determining disease course. We performed a time-course proteomic analysis using a rat model of severe necrotizing acute pancreatitis induced by taurocholate perfusion in the pancreatic ducts. Results showed that levels of proteins associated to a given biological process changed in a coordinated fashion after disease onset. It was possible to follow the response of a particular pathobiological process to pancreatitis induction and to compare the course of protein pathways. Proteins involved in acinar cell secretion were found to follow a different kinetics than other cellular processes. After an initial decrease, secretory pathway-associated proteins raised again at 18 h post-induction. This phenomenon coincided with a burst in the expression of pancreatitis-associated protein (REG3A), an acute phase protein produced by the exocrine pancreas, and with the decrease of classical markers of pancreatic injury, suggesting that the expression of proteins associated to the secretory pathway may be a modulating factor of pancreas injury. Biological significance Acute pancreatitis (AP) is a complex inflammatory disease, the pathobiology of which is not yet fully understood. Various animal models, relying on different mechanisms of disease induction, have been developed in order to investigate pathobiological processes of AP. In this study, we performed a time-course proteomic analysis to investigate changes of the pancreas proteome occurring in an experimental model of AP induced by perfusion of taurocholate, a bile acid, into the pancreatic duct. This experimental model is characterized by a severe disease with pancreatic necrosis and systemic inflammation. The objectives of this study were to determine the kinetics of functionally related proteins in the early steps of the experimental disease in order to identify protein pathways playing key roles in AP pathobiology and to correlate these data with parameters classically used to assess disease severity. The present work provides for the first time an overview of protein expression in the pancreas during the course of taurocholate-induced necrotizing AP. We believe that correlation of these results with data obtained using proteomic or biochemical approaches in various experimental models of AP will help in highlighting new features, generating hypotheses and constitute therefore a strong and reliable basis for further targeted investigations.

Cerebrospinal fluid (CSF) rhinorrhea is a serious condition that may result in severe complications. Various laboratory tests, relying on the detection of CSF-specific proteins in nasal secretions, have been developed but diagnosis remains challenging. The aim of this study was to evaluate two new methods targeting either ß2-transferrin or beta-trace-protein. Rhinorrhea samples from patients suspected of CSF leakage (n=36) were analyzed using two-dimensional gel electrophoresis (2-DE) for CSF rhinorrhea diagnosis. Twelve patients with rhinorrhea strongly suggestive of a CSF leak also underwent a fluorescein test. The same cohort was retrospectively analyzed with a beta-trace protein immunoblot developed in-house (n=36) and a new commercial ß2-transferrin immunofixation assay (Sebia, Evry, France) (n=33). 2-DE was positive in 9 patients suffering from rhinorrhea following skull base fracture (n=3), post-surgery (n=4), or spontaneously (n=2). The 27 remaining cases were negative. These results were confirmed by the beta-trace protein immunoblot and ß2-transferrin immunofixation tests, except for one sample found negative with 2-DE but positive with the two other assays. Results from the three analytical methods were concordant with fluorescein tests. Beta-trace protein immunoblot and ß2-transferrin immunofixation assays are fast and reliable methods that allow detecting CSF leakage in nasal fluid with high sensitivity and specificity.

Chronic kidney disease (CKD) is becoming a worldwide public health problem. The identification of a specific set of early biomarkers for CKD is extremely relevant to progress in disease knowledge, improving diagnosis, treatment, or development, and monitoring efficacy of new drugs. As kidney fibrosis can be considered the common pathological way to end stage renal failure, independent of the initial renal insult, these biomarkers are therefore biomarkers of early tubulo-interstitial fibrosis. The availability of a specific set of biomarkers for CKD is the mandatory condition to create new dedicated drugs and validate them in clinics without waiting years for a functional response in patients. We suggest here specific cohorts of patients where this early signature of fibrosis may be simpler to be identified.

We used a peptidomic approach for the analysis of the low molecular weight proteome in rat pancreatic tissue extracts. The goal was to develop a method that allows identifying endogenous peptides produced in the pancreas in the course of acute pancreatitis. The workflow combines peptides enrichment by centrifugal ultrafiltration, fractionation by isoelectric focusing, and LC-MS/MS analysis without prior enzymatic digestion. The method was assessed on pancreatic extracts from 3 rats with caerulein-induced pancreatitis and 3 healthy controls. A qualitative analysis of the peptide patterns obtained from the different samples was performed to determine the main biological processes associated to the identified peptides. Comparison of peptidomic and immunoblot data for alpha-tubulin, beta-tubulin and coatomer gamma showed that the correlation between the number of identified peptides and the protein abundance was variable. Nevertheless, peptidomic analysis highlighted inflammatory and stress proteins, which peptide pattern was related to acute pancreatitis pathobiology. For these proteins, the higher number of peptides in pancreatitis samples reflected an increase in protein abundance. Moreover, for murinoglobulin-1 or carboxypeptidase B, peptide pattern could be related to protein function. These data suggest that peptidomic analysis is a complementary approach to proteomics for investigating pathobiological processes involved in acute pancreatitis.

Proteomics has stimulated the development of very powerful methods for protein analysis. Implementation of some of these methods in clinical chemistry laboratories could offer clinicians better tools for diagnosis, prognosis and therapeutic follow-up of human diseases. However, laboratory medicine activities are bound by a number of constraints and rules for ensuring quality of results for clinical practice. There is therefore a gap to be filled between the research and routine medical laboratories. In this opinion article, we present the proteomic methods that will most likely be implemented in clinical chemistry laboratories in the short term, and we discuss the major issues yet to be addressed before considering such a transfer.

Stenosis of the common bile duct may be either due to benign (chronic pancreatitis) or malignant (cholangiocarcinoma, pancreatic adenocarcinoma) conditions. The benign nature of the stricture should be first confirmed in order to ensure appropriate therapy. Therefore, the identification of markers allowing discrimination between malignant and benign biliary stenosis would be very valuable in clinical practice. To this intent, we performed a proteomic analysis of bile samples from patients having a biliary stenosis caused by pancreatic adenocarcinoma. Bile samples were collected during endoscopic retrograde cholangiopancreatography and purified using different methods. The extracted proteins were then analyzed by SDS-PAGE and LC-MS/MS. A total of 127 proteins were identified, 34 of which have not been previously detected in proteomic studies of bile. Among them, several proteins have been described as potential biomarkers of pancreatic cancer. We extended our investigation by studying the expression of some of these pancreatic cancer markers in bile samples collected from patients with various etiologies of biliary stenosis including pancreatic cancer, cholangiocarcinoma, chronic pancreatitis, as well as gallstone-induced stenosis. Our data showed a conspicuous overexpression of CEACAM6 and MUC1 (CA19-9) in pancreatic cancer and cholangiocarcinoma samples, according to the hypothesis that bile fluid collects cancer-associated protein leaking from the tumor microenvironment. These results underline the interest of using bile as a source of biomarkers for the diagnosis of malignant biliary stenosis.

The incidence of acute pancreatitis, an inflammation of the pancreas, is increasing worldwide. Pancreatic injury is mild in 80%-90% of patients who recover without complications. The remaining patients may develop a severe disease with local complications such as acinar cell necrosis, abscess and remote organ injury including lung injury. The early prediction of the severity of the disease is an important goal for physicians in management of patients with acute pancreatitis in order to optimize the therapy and to prevent organ dysfunction and local complications. For that purpose, multiple clinical scale scores have been applied to patients with acute pancreatitis. Recently, a new problem has emerged: the increased severity of the disease in obese patients. However, the mechanisms by which obesity increases the severity of acute pancreatitis are unclear. Several hypotheses have been suggested: (1) obese patients have an increased inflammation within the pancreas; (2) obese patients have an increased accumulation of fat within and around the pancreas where necrosis is often located; (3) increase in both peri- and intra-pancreatic fat and inflammatory cells explain the high incidence of pancreatic inflammation and necrosis in obese patients; (4) hepatic dysfunction associated with obesity might enhance the systemic inflammatory response by altering the detoxification of inflammatory mediators; and (5) ventilation/perfusion mismatch leading to hypoxia associated with a low pancreatic flow might reduce the pancreatic oxygenation and further enhance pancreatic injury. Recent experimental investigations also show an increased mortality and morbidity in obese rodents with acute pancreatitis and the implication of the adipokines leptin and adiponectin. Such models are important to investigate whether the inflammatory response of the disease is enhanced by obesity. It is exciting to speculate that manipulation of the adipokine milieu has the potential to influence the severity of acute pancreatitis.

The use of isoelectric focusing as first dimension of separation is a new trend in shotgun proteomics. In all applications using this approach, peptides are separated into equitable fractions, whereas theoretical distribution of peptides according to p I is heterogeneous. We present the development of a new tool and strategy that generates a fractionation scheme resulting in almost even distribution of peptides per fraction, based on theoretical and experimental data. The "pICarver" software tool also increases the throughput of the approach by reducing the number of fractions and merging the peptide-poor regions. A set of isoelectric point fluorescent peptide markers was also developed in combination with the pICarver program to calibrate the pH gradient of commercially available strips. These markers enhanced the precision of pICarver predications. The overall strategy allowed detecting false positive identification and post-translational modifications. The software tool is freely available on www.expasy.org/tools/pICarver.

Imaging Mass Spectrometry (IMS) has emerged as a powerful technique in the field of proteomics. The use of Immobilized pH Gradient-IsoElectric Focusing (IPG-IEF) is also a new trend, as the first dimension of separation, in shotgun proteomics. We report a combination of these two outstanding technologies. This approach is based on the separation of shotgun-produced peptides by IPG-IEF. The peptides are then transferred by capillarity to a capture membrane, which is then scanned by the mass spectrometer to generate MS images. This high-throughput methodology allows a preview of the sample to be obtained in a single day. We report the application of this new pipeline for differential comparison of the membrane proteome of two different strains of Staphylococcus aureus bacteria in a proof-of-principle experiment.

Biomarker discovery for clinical purposes is one of the major areas in which proteomics is used. However, despite considerable effort, the successes have been relatively scarce. In this perspective paper, we try to highlight and analyze the main causes for this limited success, and to suggest alternate strategies, which will avoid them, without eluding the foreseeable weak points of these strategies. Two major strategies are analyzed, namely, the switch from body fluids to cell and tissues for the initial biomarker discovery step or, if body fluids must be analyzed, the implementation of highly selective protein selection strategies.

Proteomic technologies, such as yeast two-hybrid, mass spectrometry (MS), protein/peptide arrays and fluorescence microscopy, yield multi-dimensional data sets, which are often quite large and either not published or published as supplementary information that is not easily searchable. Without a system in place for standardizing and sharing data, it is not fruitful for the biomedical community to contribute these types of data to centralized repositories.

On-line databases targeted towards protein contents in biological fluids are scarce. Consequently, the investigation of proteins identified in a biological fluid most importantly depends on crosschecking information gathered from less specific resources. This review summarises the key databases and tools for collecting information on tissue specificity or expression profiles. It also emphasises the high connectivity between databases fruitfully used to corroborate and piece information together. Finally, selected issues related to appropriate bioinformatics tools in the context of clinical applications are succinctly discussed.

With a mean weight of 1500 g containing around 10 billion neurons, the adult brain represents about 2% of the total body mass, but requires 20% of the total energy produced. It consumes continuously 150 g of glucose and 72 L of oxygen every 24 h. A few minutes interruption of this supply can lead to dramatic brain damage. Manifestations and consequences of stroke depend on the location and extent of the lesions. A vascular cerebral accident, also called stroke or brain attack, is an interruption of the blood supply owing to either occlusion (ischemic stroke) or rupture (hemorrhagic stroke) of a blood vessel to any part of the brain, with an occurrence of around 80% for the ischemic type. Stroke has a devastating impact on public health and remains the third leading cause of death and the first leading cause of long-term disability in industrialized countries. An early diagnosis of the cerebral accident associated with an appropriate treatment would reduce the risk of death and enhance the chances of recovery. When the diagnosis of stroke is established, the physician needs to know the nature (ischemic or hemorrhagic), the extent, and the location of the accident in order to orient patients and to give them most suitable treatment. Because no specific and unique symptoms or early blood diagnostic markers are currently available, it was of a great interest to develop new approaches in the research and discovery area of new early diagnosis and prognosis markers of stroke.

With a mean weight of 1500 g containing around 10 billion neurons, the adult brain represents about 2% of the total body mass, but requires 20% of the total energy produced. It consumes continuously 150 g of glucose and 72 L of oxygen every 24 h. A few minutes interruption of this supply can lead to dramatic brain damage. Manifestations and consequences of stroke depend on the location and extent of the lesions. A vascular cerebral accident, also called stroke or brain attack, is an interruption of the blood supply owing to either occlusion (ischemic stroke) or rupture (hemorrhagic stroke) of a blood vessel to any part of the brain, with an occurrence of around 80% for the ischemic type. Stroke has a devastating impact on public health and remains the third leading cause of death and the first leading cause of long-term disability in industrialized countries. An early diagnosis of the cerebral accident associated with an appropriate treatment would reduce the risk of death and enhance the chances of recovery. When the diagnosis of stroke is established, the physician needs to know the nature (ischemic or hemorrhagic), the extent, and the location of the accident in order to orient patients and to give them most suitable treatment. Because no specific and unique symptoms or early blood diagnostic markers are currently available, it was of a great interest to develop new approaches in the research and discovery area of new early diagnosis and prognosis markers of stroke.

The proper functioning of mitochondria requires that both the mitochondrial and the nuclear genome are functional. To investigate the importance of the mitochondrial genome, which encodes only 13 subunits of the respiratory complexes, the mitochondrial rRNAs and a few tRNAs, we performed a comparative study on the 143B cell line and on its Rho-0 counterpart, i.e., devoid of mitochondrial DNA. Quantitative differences were found, of course in the respiratory complexes subunits, but also in the mitochondrial translation apparatus, mainly mitochondrial ribosomal proteins, and in the ion and protein import system, i.e., including membrane proteins. Various mitochondrial metabolic processes were also altered, especially electron transfer proteins and some dehydrogenases, but quite often on a few proteins for each pathway. This study also showed variations in some hypothetical or poorly characterized proteins, suggesting a mitochondrial localization for these proteins. Examples include a stomatin-like protein and a protein sharing homologies with bacterial proteins implicated in tyrosine catabolism. Proteins involved in apoptosis control are also found modulated in Rho-0 mitochondria., Comment: website publisher: http://www3.interscience.wiley.com/

Prostaglandin D2 synthase (PGDS) (beta-trace protein) is a highly abundant cerebrospinal fluid (CSF) glycoprotein. A number of studies have been performed to determine the potential value of this protein for the diagnosis of various neurological disorders. The measurement of total PGDS levels in CSF has proved marginally useful for this purpose, but promising results were obtained while investigating changes in the posttranslational modifications (PTM) pattern. Using 2-DE analysis, we previously showed that PGDS is differentially expressed in ante- and post mortem CSF samples. In the present study, we examined whether the PGDS isoforms may help to distinguish stroke and neurodegenerative disease patients from healthy subjects. The pattern of PGDS PTM was analyzed in CSF from patients with various neurological disorders (n = 44) using IEF/immunoblotting techniques. Strong alterations of this pattern were detected in patients with different forms of degenerative dementia. These findings are consistent with PGDS being altered in some neurological diseases and provide new opportunities for clinical applications.

A novel strategy consisting of cleavable Isotope-Coded Affinity Tag (cICAT) combined with MASCOT Distiller was evaluated as a tool for the quantification of proteins in "abnormal" patient plasma, prepared by pooling samples from patients with acute stroke. Quantification of all light and heavy cICAT-labelled peptide ion pairs was obtained using MASCOT Distiller combined with a proprietary software. Peptides displaying differences were selected for identification by MS. These preliminary results show the promise of our approach to identify potential biomarkers.

Heart-fatty acid-binding protein (H-FABP) is a small cytosolic protein involved in intracellular fatty acid transport. This protein, highly concentrated in the heart, is quickly released into plasma after myocardial injury. Results from numerous studies suggest that H-FABP is an excellent marker for the early detection of myocardial damage. H-FABP is also expressed in the brain, although in lower concentrations than in the heart. Recent preliminary studies also investigated the usefulness of H-FABP for the diagnosis of acute and chronic neurological disorders. These potential applications of H-FABP in clinical practice are reviewed in this article, with a strong focus on the early diagnosis of acute myocardial infarction and stroke.

Only few biological markers are currently available for the routine diagnosis of brain damage-related disorders including cerebrovascular, dementia, and other neurodegenerative diseases. In this study, post-mortem cerebrospinal fluid samples were used as a model of massive brain insult to identify new markers potentially relevant for neurodegeneration. The protein pattern of this sample was compared to the one of cerebrospinal fluid from healthy subjects by two-dimensional gel electrophoresis. Using gel imaging, N-terminal microsequencing, mass spectrometry, and immunodetection techniques, we identified 13 differentially expressed proteins. Most of these proteins have been previously reported to be somehow associated with brain destruction or with the molecular mechanisms underlying certain neurodegenerative conditions. These data indicate that the identified proteins indeed represent potential biomarkers of brain damage. We recently showed that H-FABP, a protein highly homologous to E-FABP and A-FABP identified in this study, is a potential marker of Creutzfeldt-Jakob disease and stroke.

The present paper aims at clarifying some important aspects of proteomics, i.e. the large scale analysis of proteins. To this purpose, the main types of proteomic analyses are presented, i.e. those aiming at determining expression levels and those aiming at unravelling protein-protein interactions networks. Their performances and limitations are outlined, as well as their potential applications in biomedicine, to give an reasoned view of the current state of the art.

Protein copy number is distributed from 7 to 8 orders of magnitude in cells and probably up to 12 orders of magnitude in plasma. Classical silver-stained two-dimensional electrophoresis (2-DE) can only display up to four orders of magnitude. This is a major drawback since it is assumed that most of the regulatory proteins are low-abundance gene products. It is thus clear that the separation of low copy number proteins in amounts sufficient for postseparation analysis is an important issue in proteome studies to complete the comprehensive description of the proteome of any given cell type. The visualization of a polypeptide on a 2-DE gel will depend on the copy number, on the quantity loaded onto the gel and on the method of detection. As the amount of protein that can be loaded onto a gel is limited, one efficient solution is to fractionate the sample prior to 2-DE analysis. Several approaches exist including subcellular fractionation, affinity purification and chromatographic and electrophoretic protein prefractionation. The chromatographic step adds a new dimension in the protein separation using specific protein properties. It allows proteins to be adsorbed to a surface and eluted differentially under certain conditions. This review article presents studies combining chromatography-based methods to 2-DE analysis and draws general conclusions on this strategy.

In this chapter we will present a detailed picture of the UTRAN radio interface and of the communication protocols used on it.

for some years now, cellular telephony systems have been experiencing a level of growth unprecedented in the world of telecommunications. When the first cellular technologies were brought into service, at the beginning of the 1990s, we saw a rather slow take-off in the curve of subscriber numbers, hardly presaging the subsequent spectacular growth. At the beginning of 2001, there were some 450 million GSM subscribers in the world (including more than 40 million in the UK) Figure 1.1). So-called second generation wireless technologies as a whole (GSM, IS-95, AMPS, PDC, PHS) serve a total of more than 600 million subscribers.

In order to allow a group of mobile users to access the network simultaneously, it is necessary to share, in one way or another, the radio resources managed by the network operator. There are three main ways of providing such resource sharing or multiple access: frequency division multiple access (FDMA), time division multiple access (TDMA), and code division multiple access (CDMA).

In the previous chapters we have studied the make-up of the UTRAN radio interface and its associated protocols. However, the UTRAN is not limited to the radio interface. Because of the large number of network nodes defined in the UTRAN (Node B and RNC), a set of protocols and interfaces belonging to the terrestrial part of the UTRAN has been defined by the 3GPP to allow these different nodes to exchange signalling information and user data.