J Chromatogr B Analyt Technol Biomed Life Sci
September 2014
There is a need to identify metabolic phenotypes in autism as they might each require unique approaches to prevention. Biological markers can help define autism subtypes and reveal potential therapeutic targets. The aim of the study was to identify alterations of small molecular weight compounds and to find potential biomarkers.
View Article and Find Full Text PDFThe aim of this work was a comprehensive analysis of metabolite profiles of nucleosides from biological samples obtained from patients with urogenital cancer disease as well as an interpretation of cancer-related patterns of the analyzed profiles. In our study we proposed a targeted approach that was focused on the simultaneous determination of twelve nucleosides from over a hundred urine samples. For analytes' quantification high performance liquid chromatography technique hyphenated with tripple quadrupole mass spectrometer was applied.
View Article and Find Full Text PDFComb Chem High Throughput Screen
July 2013
The evaluation of the relationships between the hormones involved in the urogenital tract cancer, including bladder, kidney, prostate, and testis, could prove important from diagnostic point of view. The determination of the steroid hormone profiles may likely provide a biomarker for discrimination of hormone-related diseases, as well as for differentiation of healthy volunteers from patients with cancer. The aim of the study was to demonstrate the changes in the steroid hormone profile (comprising corticosteroids, androgens and progesterone) in the urine of patients with the urogenital tract cancer versus urine from healthy subjects.
View Article and Find Full Text PDFA new diagnostic and prognostic biomarker may be of value in the diagnostic panel, especially among cancer diseases. The aim of the study was to evaluate the osteopontin (OPN) level measurable in the tumour tissue in females with diagnosed breast cancer after mastectomy, and to confirm its suitability to serve as a prognostic biomarker of the cancer.The OPN tissue levels and the classical risk factors were determined in twelve females.
View Article and Find Full Text PDFThe purpose of this work was to develop a new aligning algorithm called supervised alignment and to compare its performance with the correlation optimized warping. The supervised alignment is based on a "supervised" selection of a few common peaks presented on each chromatogram. The selected peaks are aligned based on a difference in the retention time of the selected analytes in the sample and the reference chromatogram.
View Article and Find Full Text PDFLarge discrepancy remains for the hormone-responsible cancers with regards to the conditions generating the optimal opportunity for cancerogenesis. In the research, altered steroid profiles were observed in patients with urogenital tract cancer diseases, namely bladder, kidney, prostate and testis ones. The presented steroid profiles from 154 subjects, including 77 urogenital tract cancer patient and 77 healthy controls were determined by liquid chromatography coupled to mass spectrometry method.
View Article and Find Full Text PDFOver 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.
View Article and Find Full Text PDFIn 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.
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