Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.

Because of its availability, ease of collection, and correlation with physiology and pathology, urine is an attractive source for clinical proteomics/peptidomics. However, the lack of comparable data sets from large cohorts has greatly hindered the development of clinical proteomics. Here, we report the establishment of a reproducible, high resolution method for peptidome analysis of naturally occurring human urinary peptides and proteins, ranging from 800 to 17,000 Da, using samples from 3,600 individuals analyzed by capillary electrophoresis coupled to MS. All processed data were deposited in an Structured Query Language (SQL) database. This database currently contains 5,010 relevant unique urinary peptides that serve as a pool of potential classifiers for diagnosis and monitoring of various diseases. As an example, by using this source of information, we were able to define urinary peptide biomarkers for chronic kidney diseases, allowing diagnosis of these diseases with high accuracy. Application of the chronic kidney disease-specific biomarker set to an independent test cohort in the subsequent replication phase resulted in 85.5% sensitivity and 100% specificity. These results indicate the potential usefulness of capillary electrophoresis coupled to MS for clinical applications in the analysis of naturally occurring urinary peptides.

The chemodiversity of wines can reveal a metabologeography expression of cooperage oak wood.

Wine chemical compositions, which result from a complex interplay between environmental factors, genetic factors, and viticultural practices, have mostly been studied using targeted analyses of selected families of metabolites. Detailed studies have particularly concerned volatile and polyphenolic compounds because of their acknowledged roles in the organoleptic and therapeutic properties. However, we show that an unprecedented chemical diversity of wine composition can be unraveled through a nontargeted approach by ultrahigh-resolution mass spectrometry, which provides an instantaneous image of complex interacting processes, not easily or possibly resolvable into their unambiguous individual contributions. In particular, the statistical analysis of a series of barrel-aged wines revealed that 10-year-old wines still express a metabologeographic signature of the forest location where oaks of the barrel in which they were aged have grown.

Development of a capillary electrophoresis-mass spectrometry method for the determination of formaldehyde releasers as their hydrolysis products and amino alcohols from metal working fluids.

Metal working fluids (MWFs) are widely used as lubricants and coolants for different industrial operations. Biocides are ingredients of MWFs to control the microbial growth; derivatives of hexahydrotriazines and oxazolidines are generally used. Because of the lack of appropriate characterization, an existing capillary electrophoretic method for their quantification was improved. During the process of optimization, it became clear that hydrolysis products, derivatives of amino alcohols, severely interfere with the separation procedure. Since indirect-UV detection lacked the required selectivity, mass-selective detection was employed. NMR and MS established the absence of amino alcohols in the original educts. The aqueous solutions of the biocides stored for extended time remained amino alcohol-free, suggesting that these amino alcohols are formed from the biocides during the capillary electrophoretic separation. The observation of narrow and symmetric peaks indicated hydrolysis, and the polarity of the products implied favorable conditions for capillary electrophoretic separation. Methods were optimized for the analysis of the amino alcohols, the hydrolytic products of the formaldehyde releasers, using indirect-UV and MS detection. This method was extended to other likely solutes used as alkaline-reserve ingredients. The analytes were separated within 9 min with a high precision of migration times (the RSDs were below 1.5%). When quantifying from mobility scale, the calibration curves produced linearity with regression coefficients in the range of 0.990-0.999. The detection limit was lower than 1 mg/L in the case of MS detection. The influence of water-based MWF was also investigated, and no matrix effect on the migration of the analytes and on the peak areas was observed.