Quantitative high-performance liquid chromatography-tandem mass spectrometry method for the analysis of free desmosines in plasma and urine.

A rapid method for the determination of the sum of free desmosine and isodesmosine in human plasma and urine is described. Efficient sample clean-up prior to LC-MS/MS analysis is mandatory for detection of free desmosines in plasma samples. The combination of ultra-filtration and a two-step solid phase extraction minimizes the sample complexity and ion suppression effects. The flow through from the ultra filtration is passed through a C18 resin and then the target analytes are trapped and enriched on a mixed mode solid phase extraction material. The combination of these three orthogonal sample preparation steps allows detection of endogenous free desmosines in plasma from healthy individuals. An analytical column packed with porous graphitic carbon material enables the retention of the polar desmosine analytes, which are measured by electrospray ionization tandem mass spectrometry. Deuterium labeled isodesmosine is added as internal standard and a linear calibration curve was constructed in the range of 0.1-2.0 nmol/L for plasma samples and 5-200 nmol/L for urine samples. These results demonstrate that the described LC-MS/MS method provides sensitive, repeatable and accurate quantification of free desmosines in plasma and urine samples.

Inhibition of microsomal prostaglandin E synthase-1 by aminothiazoles decreases prostaglandin E2 synthesis in vitro and ameliorates experimental periodontitis in vivo.

The potent inflammatory mediator prostaglandin E2 (PGE2) is implicated in the pathogenesis of several chronic inflammatory conditions, including periodontitis. The inducible enzyme microsomal prostaglandin E synthase-1 (mPGES-1), catalyzing the terminal step of PGE2 biosynthesis, is an attractive target for selective PGE2 inhibition. To identify mPGES-1 inhibitors, we investigated the effect of aminothiazoles on inflammation-induced PGE2 synthesis in vitro, using human gingival fibroblasts stimulated with the cytokine IL-1ß and a cell-free mPGES-1 activity assay, as well as on inflammation-induced bone resorption in vivo, using ligature-induced experimental periodontitis in Sprague-Dawley rats. Aminothiazoles 4-([4-(2-naphthyl)-1,3-thiazol-2-yl]amino)phenol (TH-848) and 4-(3-fluoro-4-methoxyphenyl)-N-(4-phenoxyphenyl)-1,3-thiazol-2-amine (TH-644) reduced IL-1ß-induced PGE2 production in fibroblasts (IC50 1.1 and 1.5 µM, respectively) as well as recombinant mPGES-1 activity, without affecting activity or expression of the upstream enzyme cyclooxygenase-2. In ligature-induced experimental periodontitis, alveolar bone loss, assessed by X-ray imaging, was reduced by 46% by local treatment with TH-848, compared to vehicle, without any systemic effects on PGE2, 6-keto PGF1α, LTB4 or cytokine levels. In summary, these results demonstrate that the aminothiazoles represent novel mPGES-1 inhibitors for inhibition of PGE2 production and reduction of bone resorption in experimental periodontitis, and may be used as potential anti-inflammatory drugs for treatment of chronic inflammatory diseases, including periodontitis.

Liquid chromatography-tandem mass spectrometry approach for quantification of mucins from sputum using 13C,15N-labeled peptides as internal standards.

Mucins are of great interest owing to their involvement in physiological and pathological processes in the airways. A method that allows accurate quantification of such proteins in sputum samples may be helpful for research in this field. A liquid chromatographic selected reaction monitoring (SRM) method was developed for the quantification of two mucins, MUC5AC and MUC5B, in induced sputum samples. Sample preparation for the assay included solubilization, reduction, and alkylation prior to tryptic digestion. Solid phase extraction using C18 sorbent was used for sample cleanup prior to the liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. A cysteine-containing peptide was selected for quantification of MUC5AC protein, whereas a non-cysteine peptide was used for the quantification of MUC5B protein. Stable isotope-labeled synthetic peptides were used as internal standards, and linear calibration curves were constructed in the range of 0.3 to 40 pmol/L. Both mucins could be determined with a precision of 6 to 19% and an accuracy of 98 to 114%. The method is transferable to robotics and is suitable to be run in a 96-well format.

Blood biomarkers and measures of pulmonary function--a study from the Swedish twin registry.

OBJECTIVE: There is great need of biomarkers for research and clinical purposes in COPD. This study explored the relationships between ten putative plasma biomarkers of COPD and physiological measures of reduced lung function. METHODS: FEV(1), FVC, residual volume/total lung capacity (RV/TLC) and CO diffusion capacity (D(L)CO) were assessed in 357 subjects from the Swedish Twin Registry. The lung function measures were studied in relation to plasma levels of desmosines, C-reactive protein (CRP), plasminogen inhibitor activator (PAI-1) concentration and activity, tissue inhibitor of metalloproteinase (TIMP-1), clara cell protein 16 (CC16), surfactant protein D (SPD), matrix metalloproteinase 9 (MMP-9), hepatocyte growth factor (HGF) and interleukin (IL)-8. RESULTS: After adjustments for age, sex, height, BMI and smoking, FEV(1) was significantly associated with PAI-1 activity and desmosines. RV/TLC was significantly associated with CC16, PAI-1 concentration and PAI-1 activity, and D(L)CO was significantly associated with desmosines, TIMP-1 and CRP. When the multivariate analysis was restricted to subjects with COPD (i.e., FEV(1)/FVC < 0.70), CRP and desmosines were inversely associated with lung function. CONCLUSION: Several biomarkers were associated with lung function in this cross-sectional study. Especially CRP and desmosines could be useful markers to assess disease severity in subjects with COPD.

Profiling of endogenous peptides by multidimensional liquid chromatography: On-line automated sample cleanup for biomarker discovery in human urine.

A simple and flexible system, employing a column switching technique, has been designed to allow the analysis of peptides and proteins smaller than 15 kDa by molecular weight in filtered urine samples by performing a direct on-column injection utilising simultaneous sample clean-up and trace enrichment. The positively charged peptides and small proteins in the sample are attracted to the inner, negatively charged pore structure of the RAM-SCX column while the larger proteins and uncharged or negatively charged compounds are excluded. After preconditioning with the biological sample, large amounts of sample can be injected. Several important and adjustable parameters for the proper use of a RAM-SCX column are described and discussed. The main parameters being: i) the column is sensitive to sample overloading, which may result in drastic changes in the adsorption of peptides; ii) adsorption appears to be flow-rate and concentration dependent, as the sample molecules need time to penetrate into the internal pore structure in order to find complimentary orientated adsorption sites; iii) dilution and pH adjustment of sample during the loading process. The biocompatibility and proof-of-principle of this separation platform was demonstrated using human urine samples. Data are presented on repeatability as well as on the reproducibility of different synthesised batches of restricted access material (RAM).

Twins studies as a model for studies on the interaction between smoking and genetic factors in the development of chronic bronchitis.

Smoking is the main risk factor for COPD (chronic obstructive pulmonary disease) but genetic factors are of importance, since only a subset of smokers develops the disease. Sex differences have been suggested both in disease prevalence and response to environmental exposures. Furthermore, it has been shown that acquisition of 'addiction' to smoking is partly genetically mediated. Disease cases and smoking habits were identified in 44919 twins aged >40 years from the Swedish Twin Registry. Disease was defined as self-reported chronic bronchitis or emphysema, or recurrent cough with phlegm. The results showed that chronic bronchitis seems to be more prevalent among females, and that the heritability estimate for chronic bronchitis was a moderate 40% and only 14% of the genetic influences were shared by smoking. In addition, 392 twins have been invited to a clinical investigation to evaluate: (i) to what extent genetic factors contribute to individual differences (variation) in FEV(1) (forced expiratory volume in 1 s), vital capacity and DL(CO) (diffusion capacity), taking sex into consideration, and (ii) whether smoking behaviour and respiratory symptoms influence these estimates.

Analysis and understanding of high-dimensionality data by means of multivariate data analysis.

Multivariate analysis such as principal-components analysis (PCA) and partial-least-squares-discriminant analysis (PLS-DA) have been applied to peptidomics data from clinical urine samples subjected to LC/MS analysis. We show that it is possible to use these methods to get information from a complex set of clinical data. The aim of the work is to use this information as a first step in the further search for clinical biomarker data. It is possible to identify peptide-biomarker fingerprints related to disease diagnosis and progression. Further, we review clinical proteomics and pharmacogenomics data analyzed with the same multivariate approach.

Improving automatic peptide mass fingerprint protein identification by combining many peak sets.

An automated peak picking strategy is presented where several peak sets with different signal-to-noise levels are combined to form a more reliable statement on the protein identity. The strategy is compared against both manual peak picking and industry standard automated peak picking on a set of mass spectra obtained after tryptic in gel digestion of 2D-gel samples from human fetal fibroblasts. The set of spectra contain samples ranging from strong to weak spectra, and the proposed multiple-scale method is shown to be much better on weak spectra than the industry standard method and a human operator, and equal in performance to these on strong and medium strong spectra. It is also demonstrated that peak sets selected by a human operator display a considerable variability and that it is impossible to speak of a single "true" peak set for a given spectrum. The described multiple-scale strategy both avoids time-consuming parameter tuning and exceeds the human operator in protein identification efficiency. The strategy therefore promises reliable automated user-independent protein identification using peptide mass fingerprints.

Exploring the context of the lung proteome within the airway mucosa following allergen challenge.

The lung proteome is a dynamic collection of specialized proteins related to pulmonary function. Many cells of different derivations, activation states, and levels of maturity contribute to the changing environment, which produces the lung proteome. Inflammatory cells reacting to environmental challenge, for example from allergens, produce and secrete proteins which have profound effects on both resident and nonresident cells located in airways, alveoli, and the vascular tree which provides blood cells to the parenchyma alveolar bed for gas exchange. In an experimental model of allergic airway inflammation, we have compared control and allergen challenged lung compartments to determine global protein expression patterns using 2D-gel electrophoresis and subsequent spot identification by MS/MS mass spectrometry. We have then specifically isolated the epithelial mucosal layer, which lines conducting airways, from control and allergen challenged lungs, using laser capture technology and performed proteome identification on these selected cell samples. A central component of our investigations has been to contextually relate the histological features of the dynamic pulmonary environment to the changes in protein expression observed following challenge. Our results provide new information of the complexity of the submucosa/epithelium interface and the mechanisms behind the transformation of airway epithelium from normal steady states to functionally activated states.

Transforming growth factor-beta 1 specifically induce proteins involved in the myofibroblast contractile apparatus.

Transforming growth factor-beta(1) (TGF-beta(1)) induces alpha-smooth muscle actin (alpha-SMA) and collagen synthesis in fibroblast both in vivo and in vitro and plays a significant role in tissue repair and the development of fibrosis. During these processes the fibroblasts differentiate into activated fibroblasts (so called myofibroblasts), characterized by increased alpha-SMA expression. Because TGF-beta(1) is considered the main inducer of the myofibroblast phenotype and cytoskeletal changes accompany this differentiation, the main objective of this investigation was to study how TGF-beta(1) alters protein expression of cytoskeletal-associated proteins. Metabolic labeling of cell cultures by [(35)S]methionine, followed by protein separation on two-dimensional gel electrophoresis, displayed approximately 2500 proteins in the pI interval of 3-10. Treatment of TGF-beta(1) led to specific spot pattern changes that were identified by mass spectrometry and represent specific induction of several members of the contractile apparatus such as calgizzarin, cofilin, and profilin. These proteins have not previously been shown to be regulated by TGF-beta(1), and the functional role of these proteins is to participate in the depolymerization and stabilization of the microfilaments. These results show that TGF-beta(1) induces not only alpha-SMA but a whole set of actin-associated proteins that may contribute to the increased contractile properties of the myofibroblast. These proteins accompany the induced expression of alpha-SMA and may participate in the formation of stress fibers, cell contractility, and cell spreading characterizing the myofibroblasts phenotype.