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With balanced safety-efficacy profile, letermovir anti-cytomegalovirus (CMV) prophylaxis is used in hematopoietic stem cell transplant recipients (HSCTR). We assessed feasibility and usefulness of letermovir therapeutic drug monitoring (TDM) in HSCTR. We performed a prospective observational study on letermovir-TDM including 40 consecutive adult CMV-seropositive allogeneic-HSCTR who received orally (PO) administered letermovir. Minimal blood concentrations of letermovir (C

Kidney transplantation is one of the renal replacement options in patients suffering from end-stage renal disease (ESRD). After a transplant, patient follow-up is essential and is mostly based on immunosuppressive drug levels control, creatinine measurement and kidney biopsy in case of a rejection suspicion. The extensive analysis of metabolite levels offered by metabolomics might improve patient monitoring, help in the surveillance of the restoration of a “normal” renal function and possibly also predict rejection. The longitudinal follow-up of those patients with repeated measurements is useful to understand changes and decide whether an intervention is necessary. The time modality, therefore, constitutes a specific dimension in the data structure, requiring dedicated consideration for proper statistical analysis. The handling of specific data structures in metabolomics has received strong interest in recent years. In this work, we demonstrated the recently developed ANOVA multiblock OPLS (AMOPLS) to efficiently analyse longitudinal metabolomic data by considering the intrinsic experimental design. Indeed, AMOPLS combines the advantages of multilevel approaches and OPLS by separating between and within individual variations using dedicated predictive components, while removing most uncorrelated variations in the orthogonal component(s), thus facilitating interpretation. This modelling approach was applied to a clinical cohort study aiming to evaluate the impact of kidney transplantation over time on the plasma metabolic profile of graft patients and donor volunteers. A dataset of 266 plasma metabolites was identified using an LC-MS multiplatform analytical setup. Two separate AMOPLS models were computed: one for the recipient group and one for the donor group. The results highlighted the benefits of transplantation for recipients and the relatively low impacts on blood metabolites of donor volunteers.

Since their discovery more than a century ago to this day, vitamins went from misunderstood molecules with mysterious properties to fundamental components with undoubted clinical implications. Despite the scientific progresses in the understanding of their physiopathological role, vitamins raise to this day multiple interrogations in clinical practice. This article aims at answering questions that are frequently encountered in the outpatient setting regarding vitamin deficiencies: who to screen ? At what moment ? By which test ? How to interpret the results ? How to supplement ? By answering these questions, we hope to provide the general practitioners with a pragmatic tool to guide them in the management of issues related to vitamins.Depuis leur découverte il y a plus d’un siècle à aujourd’hui, les vitamines sont passées de molécules méconnues et aux propriétés mystérieuses à des composants primordiaux et aux implications cliniques certaines. Malgré les progrès scientifiques dans la compréhension de leur rôle physiopathologique, les vitamines suscitent encore de nombreuses interrogations en pratique clinique. Cet article s’efforce de répondre aux questions fréquem ment rencontrées en médecine ambulatoire portant sur les carences vitaminiques: qui dépister ? À quel moment ? Par quel test ? Comment interpréter les résultats ? Comment supplémenter ? En répondant à ces questions, nous espérons fournir au médecin de premier recours un outil pragmatique pour l’orienter dans la prise en charge des problématiques vitaminiques.

The use of mass spectrometry methods with triple quadrupole instruments is well established for quantification. However, the preparation of calibration curves can be time-consuming and prone to analytical errors. In this study, an innovative internal calibration (IC) approach using a one-standard calibration with a stable isotope-labeled (SIL) standard version of the endogenous compound was developed. To ensure optimal quantitative performance, the following parameters were evaluated: the stability of the analyte-to-SIL response factor (RF), the chemical and isotopic purities of the SIL, and the instrumental reproducibility. Using six clinically important endogenous steroids and their respective SIL standards, we demonstrated that RFs obtained on different LC-MS platforms were consistent. The quantitative performance of the proposed approach was determined using quality control samples prepared in depleted serum, and showed both satisfactory precision (1.3%-12.4%) and trueness (77.5%-107.0%, with only 3 values outside ±30%). The developed method was then applied to human serum samples, and the results were similar to those obtained with the conventional quantification approach based on external calibration: the Passing-Bablok regression showed a proportional bias of 6.8% and a mean difference of -5.9% between the two methodologies. Finally, we showed that the naturally occurring isotopes of the SIL can be used to provide additional calibration points and increase the accuracy for analytes with low concentrations.

The identification of clinically relevant biomarkers represents an important challenge in oncology. This problem can be addressed with biomarker discovery and verification studies performed directly in tumor samples using formalin-fixed paraffin-embedded (FFPE) tissues. However, reliably measuring proteins in FFPE samples remains challenging. Here, we demonstrate the use of liquid chromatography coupled to multiple reaction monitoring mass spectrometry (LC-MRM/MS) as an effective technique for such applications. An LC-MRM/MS method was developed to simultaneously quantify hundreds of peptides extracted from FFPE samples and was applied to the targeted measurement of 200 proteins in 48 triple-negative, 19 HER2-overexpressing, and 20 luminal A breast tumors. Quantitative information was obtained for 185 proteins, including known markers of breast cancer such as HER2, hormone receptors, Ki-67, or inflammation-related proteins. LC-MRM/MS results for these proteins matched immunohistochemistry or chromogenic in situ hybridization data. In addition, comparison of our results with data from the literature showed that several proteins representing potential biomarkers were identified as differentially expressed in triple-negative breast cancer samples. These results indicate that LC-MRM/MS assays can reliably measure large sets of proteins using the analysis of surrogate peptides extracted from FFPE samples. This approach allows to simultaneously quantify the expression of target proteins from various pathways in tumor samples. LC-MRM/MS is thus a powerful tool for the relative quantification of proteins in FFPE tissues and for biomarker discovery.

Therapeutic drug monitoring (TDM) of β-lactam antibiotics is increasingly used to overcome rising antimicrobial resistance and improve antibiotic exposure. However, there is little guidance on target amoxicillin plasma concentrations. We aimed to define these by evaluating associations between amoxicillin concentrations and clinical outcomes. This single-centre prospective cohort study enrolled severely ill and/or immunosuppressed adult patients receiving amoxicillin for suspected or confirmed bacterial infection. TDM with ≥1 intermediate and ≥1 trough level was performed 24 h after therapy initiation. Primary and secondary outcomes were incidence of adverse events (AEs) and clinical failure through Day 30, respectively. A total of 156 patients were included. Important variations were observed both for intermediate (mean 13 mg/L, S.D. 13) and trough (mean 7 mg/L, S.D. 9) amoxicillin levels. Of 111 patients, 33 (30%) had trough levels below the non-species-related breakpoint (2 mg/L). AEs occurred in 27/156 patients (17%); no intermediate- or trough-level threshold predicting toxicity could be established. Patients with the highest-quartile trough levels (9.07-51.5 mg/L) did not experience significantly increased AEs [6/28 (21%) vs. 13/83 (16%); P = 0.6]. Nearly one-third (48/156; 31%) experienced clinical failure; low trough levels did not correlate with failure. There were few amoxicillin AEs yet a relatively high incidence of clinical failure. While no toxicity threshold could be established, the absence of increased AEs among patients with the highest trough concentrations suggests that trough levels up to 40 mg/L may be safe, at least for limited durations. Larger trials must further define optimal amoxicillin concentrations. [ClinicalTrials.gov ID: NCT03790631].

The infection fatality risk (IFR) is the average number of deaths per infection by a pathogen and is key to characterizing the severity of infection across the population and for specific demographic groups. To date, there are few empirical estimates of IFR published due to challenges in measuring infection rates.1,2 Outside of closed, closely surveilled populations where infection rates can be monitored through viral surveillance, we must rely on indirect measures of infection, like specific antibodies. Representative seroprevalence studies provide an important avenue for estimating the number of infections in a community, and when combined with death counts can lead to robust estimates of the IFR. We estimated overall and age-specific IFR for the canton of Geneva, Switzerland using age-stratified daily case and death incidence reports combined with five weekly population-based seroprevalence estimates.3 From February 24th to June 2nd there were 5’039 confirmed cases and 286 reported deaths within Geneva (population of 506’765). We inferred age-stratified (5-9, 10-19, 20-49, 50-65 and 65+) IFRs by linking the observed number of deaths to the estimated number of infected individuals from each serosurvey. We account for the delays between infection and seroconversion as well as between infection and death.4 Inference is drawn in a Bayesian framework that incorporates uncertainty in seroprevalence estimates (supplement).Of the 286 reported deaths caused by SARS-CoV-2, the youngest person to die was 31 years old. Infected individuals younger than 50 years experienced statistically similar IFRs (range 0.00032-0.0016%), which increases to 0.14% (95% CrI 0.096-0.19) for those 50-64 years old to 5.6% (95% CrI 4.3-7.4) for those 65 years and older (supplement). After accounting for demography and age-specific seroprevalence, we estimate a population-wide IFR of 0.64% (95% CrI 0.38-0.98).Our results are subject to two notable limitations. Among the 65+ age group that died of COVID-19 within Geneva, 50% were reported among residents of assisted care facilities, where around 0.8% of the Geneva population resides. While the serosurvey protocol did not explicitly exclude these individuals, they are likely to have been under-represented. This would lead to an overestimation of the IFR in the 65+ age group if seroprevalence in this institutionalized population was higher than in the general population (supplement). Further, our IFR estimates are based on current evidence regarding post-infection antibody kinetics, which may differ between severe and mild infections. If mild infections have significantly lower and short-lived antibody responses, our estimates of IFR may be biased upwards.5Estimates of IFR are key for understanding the true pandemic burden and for weighing different risk reduction strategies. The IFR is not solely determined by host and pathogen biology, but also by the capacity of health systems to treat severe cases. Despite having among the highest per capita incidence in Switzerland, Geneva’s health system accommodated the influx of cases needing intensive care (peak of 80/110 ICU-beds including surge capacity) while maintaining care quality standards. As such, our IFR estimates can be seen as a best-case scenario with respect to health system capacity. Our results reveal that population-wide estimates of IFR mask great heterogeneity by age and point towards the importance of age-targeted interventions to reduce exposures among those at highest risk of death.

The application of mass spectrometry (MS)-based methods for the analysis of proteins in clinical chemistry has been a source of inspiration for many years (1, 2). Today, however, despite substantial advances in methodology and instrumentation, protein MS is still far from being the standard in clinical chemistry laboratories. MS's ability to generate complex protein or peptide profiles that can be compared among samples was initially recognized as a powerful approach for characterizing pathophysiological states and therefore a promising tool for disease diagnosis and prognosis. This strategy works well with low-complexity proteomes of simple organisms and has allowed MALDI-TOF MS protein profiling to revolutionize the identification of bacteria and fungi in clinical microbiology laboratories (3). However, when applied to more complex samples, such as human blood or urine, the lack of reproducibility of MS proteomic profiling methods and the difficulty in extracting useful information from a vast background of nonmeaningful data were soon considered insurmountable obstacles to clinical application. Because of these limitations, the prevailing view became that, to integrate clinical laboratories, MS protein assays should rely on simpler analytical work flows and straightforward data analysis processes. In other words, rather than comparing long protein lists as done in discovery proteomics, clinical proteomics should focus on the quantification of specific protein biomarkers of relevant clinical interest, taking advantage of the higher analytical performance MS can offer over traditional immunoassays (4, 5). Such targeted MS assays typically combine a protein digestion step, the fractionation of the resulting peptides by liquid chromatography, and the quantification of signature peptides by MS. An immuno-enrichment step of proteins or peptides can be added to increase …

Characterization of protein structure modifications is an important field in mass spectrometry (MS)-based proteomics. Here, we describe a process to quickly and reliably identify a mass change in a targeted protein sequence by top-down mass spectrometry (TD MS) using electron transfer dissociation (ETD). The step-by-step procedure describes how to develop a TD MS method for data acquisition as well as the data analysis process. The described TD MS workflow utilizes diagnostic ions to characterize an unknown sample in a few hours.

The search for novel and clinically relevant biomarkers still represents a major clinical challenge and mass-spectrometry-based technologies are essential tools to help in this process. In this application, we demonstrate how selected reaction monitoring (SRM) can be applied in a highly multiplexed way to analyze formalin-fixed paraffin-embedded (FFPE) tissues. Such an assay can be used to analyze numerous samples for narrowing down a list of potential biomarkers to the most relevant candidates. The use of FFPE tissues is of high relevance in this context as large sample collections linked with valuable clinical information are available in hospitals around the world. Here we describe in detail how we proceeded to develop such an assay for 200 proteins in breast tumor FFPE tissues. We cover the selection of suitable peptides, which are different in FFPE compared to fresh frozen tissues and show how we deliberately biased our assay toward proteins with a high probability of being measurable in human clinical samples.

The prevalence of chronic kidney disease (CKD) is increasing worldwide. New technical approaches are needed to improve early diagnosis, disease understanding and patient monitoring, and to evaluate new therapies. Metabolomics, as a prime candidate in the field of CKD research, aims to comprehensively analyze the metabolic complexity of biological systems. An extensive analysis of the metabolites contained in biofluids is therefore needed, and the combination of data obtained from multiple analytical platforms constitutes a promising methodological approach. This study presents an original workflow based on complementary chromatographic conditions, reversed-phase and hydrophilic interaction chromatography hyphenated to mass spectrometry to improve the polar metabolome coverage coupled with a univocal metabolite annotation strategy enabling a rapid access to the biological interpretation. This multiplatform workflow was applied in a CKD cohort study to assess plasma metabolic profile modifications related to renal disease. Multivariate analysis of 278 endogenous annotated metabolites enabled patient stratification with respect to CKD stages and helped to generate new biological insights, while also confirming the relevance of tryptophan metabolism pathway in this condition.

Background: Hyphenation of liquid chromatography (LC) with high-resolution mass spectrometry (HRMS) offers the potential to develop broad-spectrum screening procedures from low volumes of biological matrices. In parallel, dried blood spot (DBS) has become a valuable tool in the bioanalysis landscape to overcome conventional blood collection issues. Herein, we demonstrated the applicability of DBS as micro-sampling procedure for broad-spectrum toxicological screening. Methods: A method was developed on a HRMS system in data dependant acquisition (DDA) mode using an extensive inclusion list to promote collection of relevant data. 104 real toxicology cases were analysed, and the results were cross-validated with one published and one commercial screening procedures. Quantitative MRM analyses were also performed on identified substances on a triple quadrupole instrument as a complementary confirmation procedure. Results: The method showed limits of identification (LOIs) in appropriateness with therapeutic ranges for all the classes of interest. Applying the three screening approaches on 104 real cases, 271 identifications were performed including 14 and 6 classes of prescribed and illicit drugs, respectively. Among the detected substances, 23% were only detected by the proposed method. Based on confirmatory analyses, we demonstrated that the use of blood micro-samples did not impair the sensitivity allowing more identifications in the low concentration ranges. Conclusion: A LC-HRMS assay was successfully developed for toxicological screening of blood microsamples demonstrating a high identification power at low concentration ranges. The validation procedure and the analysis of real cases demonstrated the potential of this assay by supplementing screening approaches of reference.

Clinical mass spectrometry proteomics (cMSP) assays are being increasingly used in clinical laboratories for analyzing peptides and proteins. It has therefore become urgent to characterize and validate the methods available for liquid chromatography-tandem mass spectrometry (LC/MS-MS) targeted quantification of peptide and protein biomarkers in biological fluids in the context of in vitro diagnostics. LC-MS/MS for the detection of peptides and proteins is currently the main approach used in the field of cMSP. As a result of their selectivity, low reagent costs and the fact that these methods can be used for absolute quantification and multiplexing, they will likely eventually replace immunoassays. Although LC-MS/MS is known to be the main reference method involved in reference measurement procedures (RMPs), it needs to meet the requirements of in vitro diagnostic (IVD) regulations and standards. This review shows that cMSP is fully compatible with the regulatory IVD requirements and provides an overview of the characterization and validation of the use of LC-MS/MS targeted quantification of clinical protein biomarkers in biological fluids.

Background Uncontrolled preanalytical variables can reduce the accuracy and reproducibility of downstream analytical results from peripheral blood mononuclear cells (PBMCs). Methods PBMCs were isolated from EDTA and citrate-anticoagulated blood samples, obtained from healthy subjects and patients with inflammatory and infectious conditions. PBMC-derived RNA samples were examined for gene expression changes induced by extended blood pre-centrifugation delays at 4 °C and RT. We used Taqman RTqPCR to evaluate the combination of two target genes for their “diagnostic performance” in identifying EDTA and citrate-anticoagulated PBMC samples with extended pre-centrifugation times. Results We established the PBMC preanalytical score, a gene expression metric to asses the PBMC quality related to the pre-centrifugation delay at room temperature for different anticoagulants. The PBMC preanalytical score measurement can identify: (1) EDTA PBMC samples or RNA extracted from these PBMCs with RT precentrifugation times >48 h with 98% sensitivity and 87% specificity at a cutoff of 57. (2) citrate PBMC samples or RNA extracted from these PBMCs with RT precentrifugation times of >48 h with 92% sensitivity and 84% specificity at a cutoff of 348. Conclusion The proposed PBMC preanalytical score may enable objective PBMC sample qualification for downstream applications, which may be influenced by blood precentrifugation delays.

The role of Vitamin D system in cardiovascular diseases remains controversial. Here, we investigated whether intraplaque levels of vitamin D receptor (VDR) predicted major adverse cardiovascular events (MACEs) at 18month-follow-up and correlated with macrophage subsets in 164 patients undergoing endarterectomy for carotid stenosis. In human carotid plaque portions upstream and downstream the blood flow, VDR, lipid, collagen, as well as macrophage subsets were determined. Human primary monocytes were then differentiated in vitro to M1 and M2 macrophages and treated with 1,25(OH)2D3. Intraplaque VDR positively correlated with total and M1 macrophages. According to the result of ROC curve analysis, downstream portions of plaques having high VDR expression were characterized by increased M1 macrophages. Kaplan-Meier analysis showed that the risk of MACEs was greater in patients having low downstream VDR levels (8.2% vs. 1.3%; p=0.005). Cox proportional hazard regression analyses confirmed that MACE risk decreased with increasing downstream VDR (adjusted HR 0.78 [95% CI 0.62-0.98]; p=0.032). In vitro, VDR expression was prevalent in M1, but not M2. Incubation of M1 macrophages with 1,25(OH)2D3, increased VDR expression and suppressed toll-like receptor 4 expression. These results suggest that low intraplaque VDR expression predict MACEs in patients with carotid stenosis potentially involving M1 macrophages.

Background: Longer pre-centrifugation times alter the quality of serum and plasma samples. Markers for such delays in sample processing and hence for the sample quality, have been identified. Methods: Twenty cytokines in serum, EDTA plasma and citrate plasma samples were screened for changes in concentration induced by extended blood pre-centrifugation delays at room temperature. The two cytokines that showed the largest changes were further validated for their “diagnostic performance” in identifying serum or plasma samples with extended pre-centrifugation times. Results: In this study, using R&D Systems ELISA kits, EDTA plasma samples and serum samples with a pre-centrifugation delay longer than 24 h had an IL16 concentration higher than 313 pg/mL, and an IL8 concentration higher than 125 pg/mL, respectively. EDTA plasma samples with a pre-centrifugation delay longer than 48 h had an IL16 concentration higher than 897 pg/mL, citrate plasma samples had an IL8 concentration higher than 21.5 pg/mL and serum samples had an IL8 concentration higher than 528 pg/mL. Conclusions: These robust and accurate tools, based on simple and commercially available ELISA assays can greatly facilitate qualification of serum and plasma legacy collections with undocumented pre-analytics.

International audience; Toxicoproteomics can be defined as the application of proteomic approaches to the understanding of toxicology problems, and this review deals with the various types of applications that have been described in the literature. Toxicoproteomics has been applied to very different classes of toxicants, from drugs and natural products to metals, or from industrial chemicals to nanoparticles and nanofibers. It has also been applied to address questions at different levels, from the search of the primary molecular targets of toxicants to the deciphering of the molecular responses of cells and tissues to toxicants. Although restricted to mammalian cells and tissues, this paper reviews these two levels of investigation and the different application areas of toxicoproteomics, leading to the discussion of the advantages and drawbacks of the most popular proteomic platforms. Some of the pending questions in toxicoproteomics are also critically addressed, such as the specificity, validation and result hierarchization issues. The question of shared mechanisms, which are encountered in many toxicoproteomic papers dealing with different toxicants, is also discussed. Finally the future of toxicoproteomics is briefly outlined.

Proteomic analysis of tissues has advanced in recent years as instruments and methodologies have evolved. The ability to retrieve peptides from formalin-fixed paraffin-embedded tissues followed by shotgun or targeted proteomic analysis is offering new opportunities in biomedical research. In particular, access to large collections of clinically annotated samples should enable the detailed analysis of pathologically relevant tissues in a manner previously considered unfeasible. In this paper, we review the current status of proteomic analysis of formalin-fixed paraffin-embedded tissues with a particular focus on targeted approaches and the potential for this technique to be used in clinical research and clinical diagnosis. We also discuss the limitations and perspectives of the technique, particularly with regard to application in clinical diagnosis and drug discovery.

Objectives: Therapeutic drug monitoring (TDM) of beta-lactam antibiotics is increasingly employed to ensure adequate antibiotic exposure and slow emergence of resistance. Imipenem's therapeutic range has not been defined; we report plasma concentrations and clinical outcomes of patients receiving imipenem for bacterial infections. Methods: All hospitalized adult patients undergoing imipenem TDM during therapy for suspected or confirmed bacterial infections between 1 January 2013 and 28 February 2017 were included in this single-centre retrospective cohort. The primary outcome was incidence of clinical toxicity; secondary outcomes included incidence of clinical failure and median imipenem concentrations in those with and without toxicity and/or failure. Total imipenem concentrations were measured via high-performance liquid chromatography with ultraviolet detection. Results: A total of 403 imipenem levels were drawn from 300 patients. Fifteen (5%) patients experienced an adverse event considered at least possibly related to imipenem. Eighty-eight (29%) patients had clinical failure; augmented renal clearance appeared to emerge as a protective factor against failure (OR 0.42; 95% CI 0.20-0.89). Median first-measure trough concentration was 3.2 mg/L (IQR 1.7-6.5). Patients with suspected toxicity did not have higher concentrations. Patients whose dose was not increased after a trough level Conclusions: Toxicity was rare and clinical failure frequent in this cohort of patients whose imipenem concentrations were generally low and occasionally undetectable. Larger trials are needed to define optimal imipenem exposure.

The study of bile proteins could improve the understanding of physiological processes involved in the regulation of the hepato-biliary system. Researchers have tried for years to investigate the bile proteome but, until recently, only a few tens of proteins were known. The advent of proteomics, availing of large-scale analytical devices paired with potent bioinformatic resources, lately allowed the identification of thousands of proteins in bile. Nevertheless, the knowledge of their role in the hepato-biliary system still represents almost a "blank page in the book of physiology." In this review, we first guide the reader through the historical phases of the analysis of bile protein content, emphasizing the recent progresses achieved through the use of proteomic techniques. Thereafter, we deeply explore the involvement of bile proteins in health and disease, with a particular focus on the discovery of biomarkers for biliary tract malignancies.

Urine results from a coordinated activity of glomerular and tubular compartments of the kidney. As a footprint of these cellular functional processes, urinary exosomes, and 40-80 nm membrane vesicles released after fusion with the plasma membrane into the extracellular environment by renal epithelial cells, are a source for identification of proteins and investigation of their role in the kidney. The aim of the present study was the identification of podocyte exosome proteins based on urine immunoabsorption using podocyte-specific CR1-immunocoated beads followed by proteomic analysis using LC MS/MS techniques. This methodology allowed the identification of 1195 proteins. By using a bioinformatic approach, 27 brain-expressed proteins were identified, in which 14 out of them were newly demonstrated to be expressed in the kidney at a mRNA level, and, one of them, the COMT protein, was demonstrated to be expressed in podocytes at a protein level. These results, attesting the reliability of the methodology to identify podocyte proteins, need now to be completed by further experiments to analyze more precisely their biological function(s) in the podocytes.

Precise and accurate quantification of proteins is essential in clinical laboratories. Here, we present a mass spectrometry (MS)-based method for the quantification of intact proteins in an ion trap mass spectrometer. The developed method is based on the isolation and detection of precursor ions for the quantification of the corresponding signals. The method was applied for the quantification of hemoglobin (Hb) A2, a marker used for the diagnosis of a β-thalassemia trait. The α and δ globin chains, corresponding to total Hb and HbA2, respectively, were isolated in the ion trap at specific charge states and ejected without activation. Areas of the corresponding isolated precursor ions were used to calculate the δ to α ratio. Three series of quantifications were performed on 7 different days. The standard curve fitted linearly (R(2) = 0.9982) and allowed quantification of HbA2 over a concentration range from 3% to 18% of total Hb. Analytical imprecision ranged from 3.5% to 5.3%, which is enough to determine if the HbA2 level is below 3.5% or above 3.7%. In conclusion, our method reaches precision requirements that would be acceptable for the quantitative measurement of diagnostic proteins, such as HbA2, in clinical laboratories.

Objectives Cefepime remains an important antibiotic for severe bacterial infections, yet some meta-analyses have shown elevated mortality among patients randomized to it. Therapeutic drug monitoring (TDM) of β-lactam antibiotics is increasing, but optimal plasma concentrations remain unknown. We examined clinical outcomes of patients undergoing cefepime TDM in an initial effort to define the drug's toxicity threshold. Methods In this single-centre retrospective cohort study, we enrolled all adult hospitalized patients receiving cefepime and undergoing TDM from January 2013 through July 2016. The primary outcome was the incidence of clinical toxicity; a secondary outcome was clinical failure. Plasma samples were analysed via high-performance liquid chromatography with ultraviolet detection. Results A total of 161 cefepime concentrations were drawn from 93 patients. Roughly half (82/161, 51%) and one-third (49/161, 30%) were trough and steady-state levels from patients receiving intermittent and continuous infusions, respectively; median concentrations were 17.6 mg/L (IQR 9.7-35.2) and 29.2 mg/L (IQR 18.9-45.9). Ten patients (11%) experienced a neurologic event considered at least possibly related to cefepime; neurotoxicity was associated with poorer renal function (median creatinine clearance 54 (IQR 39-97) vs. 75 mL/min/1.73 2 (IQR 44-104)) and longer cefepime durations (mean 8.3 (SD±6.7) vs. 13.3 days (± 14.2), p = 0.071). Patients with trough levels >20 mg/L had a fivefold higher risk for neurologic events (OR 5.05, 95% CI 1.3-19.8). Conclusions Neurotoxicity potentially related to cefepime occurred at plasma concentrations >35 mg/L. For those receiving intermittent infusions, trough concentrations >20 mg/L should be avoided until further information is available from prospective studies.

Among the various biological matrices used in metabolomics, urine is a biofluid of major interest because of its non-invasive collection and its availability in large quantities. However, significant sources of variability in urine metabolomics based on UHPLC-MS are related to the analytical drift and variation of the sample concentration, thus requiring normalization. A sequential normalization strategy was developed to remove these detrimental effects, including: (i) pre-acquisition sample normalization by individual dilution factors to narrow the concentration range and to standardize the analytical conditions, (ii) post-acquisition data normalization by quality controlebased robust LOESS signal correction (QC-RLSC) to correct for potential analytical drift, and (iii) post-acquisition data normalization by MS total useful signal (MSTUS) or probabilistic quotient normalization (PQN) to prevent the impact of concentration variability. This generic strategy was performed with urine samples from healthy individuals and was further implemented in the context of a clinical study to detect alterations in urine metabolomic profiles due to kidney failure. In the case of kidney failure, the relation between creatinine/osmolality and the sample concentration is modified, and relying only on these measurements for normalization could be highly detrimental. The sequential normalization strategy was demonstrated to significantly improve patient stratification by decreasing the unwanted variability and thus enhancing data quality.

Renal tubulo-interstitial fibrosis is a non-specific process, representing the final common pathway for all kidney diseases, irrespective of their initial cause, histological injury, or etiology, leading to gradual expansion of the fibrotic mass which destroys the normal structure of the tissue and results in organ dysfunction and, ultimately, in end-stage organ failure. Proteomic studies of the fibrotic pathophysiological mechanisms have been performed in cell cultures, animal models and human tissues, addressing some of the key issues. This article will review proteomic contribution to the raising current knowledge on renal fibrosis biology and also mention seminal open questions to which proteomic techniques and proteomists could fruitfully contribute.

Bile was shown to collect proteins known as potential cancer biomarkers. Thorough proteomic analysis of bile is of particular interest to search for new, more sensitive and more specific, biomarkers of cancers affecting the biliary tract and surrounding organs, such as the pancreas and the liver. Therefore, extending the knowledge of the bile proteome is highly relevant, but this has proved technically difficult. In this study, we describe a strategy that circumvents problems related to the biochemical complexity of this sample and the presence of high concentrations of interfering substances. Bile collected from a patient suffering from a biliary stenosis caused by a pancreatic adenocarcinoma was fractionated by a differential centrifugation scheme, involving a stepwise increase in centrifugation speeds. Pellets and the final supernatant were further fractionated by polyacrylamide gel electrophoresis and proteins were in-gel digested prior to LC-MS/MS analysis. This approach allowed the identification of 445 unique proteins with at least two peptides (812 proteins if single-hit proteins were included), which represents a 3-fold increase in the knowledge of bile proteome. The subsequent literature comparison revealed that numerous biliary proteins identified in this sample were related to pancreas cancer. Immunoblot analysis of some known tumor markers revealed that they were preferentially associated with the soluble fraction rather than with pellets containing cellular components.

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.

Biomarkers unrelated to myocardial necrosis, such as cystatin C, copeptin, and mid-regional pro-adrenomedullin (MR-proADM), showed promise for cardiovascular risk prediction. Knowing whether they are comparable to cardiac biomarkers such as high-sensitive cardiac-troponin T (hs-cTnT) or N-terminal pro-Brain natriuretic peptide (NT-proBNP) in elderly patients with acute non-massive pulmonary embolism (NMPE) remains elusive. This study aims at comparing the prognostic accuracy of cardiac and non-cardiac biomarkers in patients with NMPE aged ≥65 years over time. In the context of the SWITCO65+ cohort, we evaluated 227 elderly patients with an available blood sample taken within one day from diagnosis. The primary study endpoint was defined as PE-related mortality and the secondary endpoint as PE-related complications. The biomarkers’ predictive ability at 1, 3, 12 and 24 months was determined using C-statistics and Cox regression. For both study endpoints, C-statistics (95% confidence interval) were stable over time for all biomarkers, with the highest value for hs-cTnT, ranging between 0.84 (0.68–1.00) and 0.80 (0.70–0.90) for the primary endpoint, and between 0.74 (0.63–0.86) and 0.65 (0.57–0.73) for the secondary endpoint. For both study endpoints, cardiac biomarkers were found to be independently associated with risk, NT-proBNP displaying a negative predictive value of 100%. Among non-cardiac biomarkers, only copeptin and MR-proADM were independent predictors of PE-related mortality but they were not independent predictors of PE-related complications, and displayed lower negative predictive values. In elderly NMPE patients, cardiac biomarkers appear to be valuable prognostic to identify very low-risk individuals. Trial Registration: ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT00973596","term_id":"NCT00973596"}}NCT00973596

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.

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.

Calcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤21,679 additional individuals. Seven loci (six new regions) in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12), rs10491003 upstream of GATA3 (P = 4.8E-09) and rs7481584 in CARS (P = 1.2E-10) implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11), also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10) are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis., Author Summary Calcium is vital to many biological processes and its serum concentration is tightly regulated. Family studies have shown that serum calcium is under strong genetic control. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤21,679 additional individuals. We identified seven loci (six new regions) as being robustly associated with serum calcium. Three loci implicate regions involved in rare monogenic diseases including disturbances of serum calcium levels. Several of the newly identified loci harbor genes linked to the hormonal control of serum calcium. In mice experiments, we characterized the expression of these genes in gut, kidney, and bone, and explored the influence of dietary calcium intake on the expression of these genes in these organs. Our results shed new light on the genetics of calcium homeostasis and suggest a role for dietary calcium intake in bone-specific gene expression.

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.

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.

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.

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/