[MODIFICATION OF URINE PROTEOME IN HEALTHY HUMAN DURING 21-DAY BED REST].

Mass spectromy-based proteomics was employed to analyze urine from 8 normal volunteers for a 21-day bedrest study (BR). The analysis included trypsinolysis in solution prior to liquid chromatography and tandem mass spectrometry (LC-MS/MS), and spectra processing using the bioinformatics tools. Relying on 221 IPI-indices with Score from 24 to 1700, 169 different proteins were identified. Molecular functions, biological processes and cell components as the loci of certain protein functioning were determined with the help of UniProt-GOA. Associative interactions networks were constructed using BiNGO. There were 14 proteins identified that are functional in the cardiovascular system mostly. They were annotated and -dynamics of their occurrence throughout the experiment was considered. Grounding on the biological functions of these proteins, an assumption of eligible activation of different biological processes during BR was made.

[Identification proteins cardiovascular system in urine healthy subjects during "dry" immersion].

We analyzed the urine proteome in 14 healthy volunteers who underwent a 5-day dry immersion using proteomic analysis methods and bioinformatics approach. We identified 9 proteins related to cardiovascular system. It was shown that 5-day dry immersion modifies urine proteomic profile indicating renal, endocrine, circulatory and metabolic changes. Most of these changes are characterized by both a very rapid onset and very rapid restoration within return to normal conditions.

[Urine proteome study for the evaluation of cardiovascular system state after spaceflight in human].

In order to find markers to assess the functional state of the cardiovascular system before and after spaceflight (first and seventh day after landing), we analyzed the urine proteome in ten cosmonauts aged of 35 to 51 years who have completed 169 to 199-day spaceflight onboard the ISS. A special sample preparation was performed, followed by liquid chromatography-mass spectrometry. Liquid chromatography-mass spectrometry of the minor proteins was performed on a nano-HPLC Agilent 1100 system (Agilent Technologies Inc., USA) in combination with a LTQ-FT Ultra mass spectrometer (Thermo, Germany). A total of 238 proteins was identified. According to the TIGER database, a tissue origin was established for 129 proteins. We identified 20 proteins related to the cardiovascular system. It was found that changes in cosmonauts' urine proteome comprehensively reflect the adaptive responses of cardiovascular, renal and neuroendocrine systems to long-term microgravity conditions.

[Detection of renal and urinary tract proteins in the urine before and after space flight].

The urine protein composition (proteome) of healthy human was analyzed using proteomic techniques to obtain data in physiological condition and after six months space flights. It was shown that after long duration space flights in cosmonaut's urine reveals specific minor proteins which can be identified as proteins came from kidney and urinary tract.

[Reconstruction of associative protein networks connected with processes of sodium exchange' regulation and sodium deposition in healthy volunteers by urine proteome analysis].

The study was conducted during the experiment with 105-day isolation in experimental complex. In the present investigation we collected urine samples from 6 healthy volunteers. The physical activity, diurnal rhythm, temperature parameters and level of oxygen and carbon dioxide were controlled during the experiment. According to the program, food intake (electrolytes, water, calories, fat, carbohydrates, protein, vitamins, etc.) on each stage of experiment was normalized. All samples were analyzed using mass spectrometer of an ionic cyclotron resonance with transformation of Fure LTQ FT MS (Thermo) on the basis of the AMT-tags (accurate mass and time tags) approach. Among more than 20 000 we found out 690 proteotypical proteins and we identified about 600 urine proteins. For physiological interpretation of the proteome data we used computer systems ANDCell and ANDVisio. Clustering of proteins and application of these systems revealed proteins that are most closely associated with the regime of sodium intake, as well as build the network of their interactions.