Over the last decade metabolomics has gained increasing popularity and significance in life sciences. Together with genomics, transcriptomics and proteomics, metabolomics provides additional information on specific reactions occurring in humans, allowing us to understand some of the metabolic pathways in pathological processes. Abnormal levels of such metabolites as nucleosides in the urine of cancer patients (abnormal in relation to the levels observed in healthy volunteers) seem to be an original potential diagnostic marker of carcinogenesis. However, the expectations regarding the diagnostic value of nucleosides may only be justified once an appropriate analytical procedure has been applied for their determination. The achievement of good specificity, sensitivity and reproducibility of the analysis depends on the right choice of the phases (e.g. sample pretreatment procedure), the analytical technique and the bioinformatic approach. Improving the techniques and methods applied implies greater interest in exploration of reliable diagnostic markers. This review covers the last 11 years of determination of urinary nucleosides conducted with the use of high-performance liquid chromatography in conjunction with various types of detection, sample pretreatment methods as well as bioinformatic data processing procedures.Electronic supplementary materialThe online version of this article (doi:10.1007/s00216-011-4789-6) contains supplementary material, which is available to authorized users.

In the postgenome-sequencing era, several large projects have been running recently. Proteomics and other analysis or structural biology are the most active today. Since the late 1990 s, metabolomics has been gaining importance in systems biology, as it provides real-world end points that complement and help in the interpretation of genomic and proteomic data. Comprehensive information about the level changes of numerous metabolites present in the analyzed samples is essential in metabolomic studies. Therefore, the applied analytical techniques must be suitable for the simultaneous analysis of a diverse range of low-molecular-mass endogenous metabolites such as nucleosides at various concentrations and in different matrices, in particular, in urine and serum. In the view of metabolomic study, this domain is obviously significant to understand specific humans' reactions and it can be perceived as a diagnostic and predictive tool in pathological reactions. Since the term "metabolom" has occurred in common scientific use, there have been many publications about possible ways of analysis of nucleosides as metabolites of either oxidative DNA damage or RNA's turnover that are used as the potential tumor markers. Besides, the availability of fast, reproducible and easy to apply analytical techniques that would allow the identification of a large number of metabolites is highly desirable since they may provide detailed information about the progression of a pathological process. This paper, which describes the most relevant electromigration techniques, covers the period starting from the review of Karl H. Schram (Mass Spectrom. Rev. 1998, 17, 131-251) up to the beginning of 2009.

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These results verify the usefulness of the RP-HPLC method to investigate the urinary pattern of normal and modified nucleosides.

An analysis of exhaled breath enables specialists to noninvasively monitor biochemical processes and to determine any pathological state in the human body. Breath analysis holds the greatest potential to remold and personalize diagnostics; however, it requires a multidisciplinary approach and collaboration of many specialists. Despite the fact that breath is considered to be a less complex matrix than blood, it is not commonly used as a diagnostic and prognostic tool for early detection of disordered conditions due to its problematic sampling, analysis, and storage. This review is intended to determine, standardize, and marshal experimental strategies for successful, reliable, and especially, reproducible breath analysis

Chronic rhinosinusitis (CRS) is an inflammatory disease of the paranasal sinuses. It is defined as the presence of a minimum of two out of four main symptoms such as hyposmia, facial pain, nasal blockage, and discharge, which last for 8–12 weeks. CRS significantly impairs a patient’s quality of life. It needs special treatment mainly focusing on preventing local infection/inflammation with corticosteroid sprays or improving sinus drainage using nasal saline irrigation. When other treatments fail, endoscopic sinus surgery is considered an effective option. According to the state-of-the-art knowledge of CRS, there is more evidence suggesting that it is more of an inflammatory disease than an infectious one. This condition is also treated as a multifactorial inflammatory disorder as it may be triggered by various factors, such as bacterial or fungal infections, airborne irritants, defects in innate immunity, or the presence of concomitant diseases. Due to the incomplete understanding of the pathological processes of CRS, there is a continuous search for new indicators that are directly related to the pathogenesis of this disease—e.g., in the field of systems biology. The studies adopting systems biology search for possible factors responsible for the disease at genetic, transcriptomic, proteomic, and metabolomic levels. The analyses of the changes in the genome, transcriptome, proteome, and metabolome may reveal the dysfunctional pathways of inflammatory regulation and provide a clear insight into the pathogenesis of this disease. Therefore, in the present paper, we have summarized the state-of-the-art knowledge of the application of systems biology in the pathology and development of CRS.

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