Affiliation:
1. V. Razumovsky State medical University of Saratov Ministry of health of Russia
2. Institute of biomedical problems RAN
3. Department of Pathophysiology, Sechenov First Moscow State Medical University (Sechenov University)
Abstract
Under controlled conditions of 17-day isolation (Sirius-17 experiment), the protein composition of urine was studied in 6 healthy test volunteers-3 women and 3 men. Collection of samples in the form of a second freely separated morning urine fraction was carried out in the background (seven days before the experiment), as well as 1 day after the end of exposure. Chromatographic-mass-spectrometric semi-quantitative analysis of the protein composition of samples was performed on a system consisting of an Agilent 1100 chromatograph and an LTQ-FT Ultra hybrid mass spectrometer using bioinformatics resources UniProtKB, GeneOntology. An asymptomatic change in the immune defense system of kidney tissue after isolation in a closed hermetic object is associated with a change in the content of 7 proteins that provide functional activity of the TLR tubules of the kidneys - FcRIII, MUC1, Galectin-3, Ficolin-2, APOA1, FLNA, FCGR3A and Clusterin. These proteins are found to be useful biomarkers in the study of physiology and kidney diseases. They can be attributed to candidates for protein markers of the initial stages of impaired recognition by the epithelium of renal tubules of bacteria with known pathogenic potential.
Subject
Biochemistry (medical),Medical Laboratory Technology,General Medicine
Reference37 articles.
1. Dedov I. I., Tulpakov A. N., Chehonin V. P., Baklaushev V. P., Archakov A. I., Moshkovsky S. A. Personalized medicine: current state and prospects. Vestnik Rossiyskoy akademii meditsinskikh nauk. Fundamental´nye issledovaniya. 2012;67(12): 4-12.( in Russian)
2. Milman B. L., Zhurkovich I. K. Mass-spectrometric analysis of medical objects and problems of clinical diagnostics. Zhurnal analiticheskoy khimii. 2015; 70 (10): 1026–39. (in Russian)
3. Kalantari S., Rutishauser D., Samavat S., Nafar M., Mahmudieh L., Rezaei-Tavirani M. et al. Urinary Prognostic Biomarkers and Classification of IgA Nephropathy by High Resolution Mass Spectrometry Coupled with Liquid Chromatography. PLoS ONE. 2013; 8(12): e80830.
4. Varghese S.A.,Powell T.B.,Budisavljevic M.N.,Oates J.C., Raymond J.R. et al. Urine biomarkers predict the cause of glomerular disease. J. Am. Soc. Nephrol. 2007; 18: 913-22.
5. Zakharova N.B., Pastushkova L.Kh., Larina I.M., Kashirina D.N., Lyakh R.V., Popkov V.M. The value of the proteomic composition of the urine in diseases of the urinary tract (review of literature). Experimental´naya I klinicheskaya urologiya. 2017; 1: 22-6. (in Russian)