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      Personalized monitoring of drug therapy effectiveness based on high-throughput analysis of drugs utilization and inflammatory factors closed functional networks in cardiovascular pathogenesis pathologies

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      1 , , 2 , 3
      The EPMA Journal
      BioMed Central
      EPMA World Congress 2013
      20-21 September 2013

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          Abstract

          Objective Personalized dynamic monitoring system development of a patient with cardiovascular disease on the basis of large-scale physical, genomic, proteomics, metabolomics, and immunological studies. Technical approaches 1. Remote real-time functional monitoring of patients; 2. Genome profiling (NGS); 3. Proteome profiling (IEF, LC MS/MS); 4. Cell function research (Flow cytometry, Live cell imaging); 5. Drugs and metabolites concentration control and association it with genomic constitution (LC MS/MS); 6. Quantification plasma concentration of the drugs and their metabolites, enzymes (LC MS/MS); 7. Immunologic profiling (ELISA, flow cytometry). Results We examined patients –non-responding on pharmacotherapy. All patients had “wild genotype” of the isoenzymes of the cytochrome P450 [1]. Drug plasma level decreased in presence high activity of the vessel endothelium growth factor and interleukin – 8. NADPH –reductase activity has decreased also. These results are showing activity of inflammatory processes and progressive of the diseases [2]. However, expression gene of the p-glycoprotein is increased; PEPT transport activity is increased too. Genomics and proteomic monitoring is necessary in this case. The effectiveness of drug treatment depends on the patient's genetic constitution. One of the general networks is the drugs utilization system, including proteins of transport and biotransformation system. Identification of polymorphisms in genes encoding proteins of these systems, as well as polymorphisms in genes of responsible for inflammatory and oxidative processes, provide a full-scale monitoring of the majority of the factors responsible for the effectiveness of drug therapy. In this case, monitoring of genetic factors in the personalized approach coupled with the assessment of immune system cells functioning, and general functional monitoring of patients (ECG, blood pressure), and a daily quantification relevant metabolites. The data based on the physiological parameters, the functional status of the immune system, genetic polymorphisms, and local protein profiles are compared with data on the pharmacokinetics compared with different therapeutic protocols. The result revealed fundamental laws of individual processes at different levels that take place in the treatment of cardiovascular disorders. Outlook for experts Obtained data focused on the basic monitoring protocol development and identification of the new biomarkers. It is the first case of high throughout testing of different treatment protocols. Their comparison leads to developing of new treatment approaches based on individual molecular, cell and physiological parameters.

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          Effects of inflammation on pharmacokinetics/pharmacodynamics: increasing recognition of its contribution to variability in response.

          Inflammation is an interesting phenomenon that crosses many disciplines as part of the host response to disease, whether it is the acute response to an infectious, traumatic, or surgical event or the more chronic responses to systemic disease such as malignancy, rheumatoid arthritis, asthma, inflammatory bowel disease, or diabetes. The impact of inflammatory states on the variability in drug response should be an integral part of research conducted across disciplines within clinical pharmacology.
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            Author and article information

            Contributors
            Conference
            EPMA J
            EPMA J
            The EPMA Journal
            BioMed Central
            1878-5077
            1878-5085
            2014
            11 February 2014
            : 5
            : Suppl 1
            : A80
            Affiliations
            [1 ]Laboratory of Clinical Pharmacology, Immanuel Kant Baltic Federal University, 14, Nevskogo, Kaliningrad, 236041, Russia
            [2 ]Laboratory of Immunology, Immanuel Kant Baltic Federal University, 14, Nevskogo, Kaliningrad, 236041, Russia
            [3 ]Genome and Proteome Research laboratory, Immanuel Kant Baltic Federal University, 14, Nevskogo, Kaliningrad, 236041, Russia
            Article
            1878-5085-5-S1-A80
            10.1186/1878-5085-5-S1-A80
            4125752
            9745723d-a157-41f9-88fe-28d72173e078
            Copyright © 2014 Babak et al; licensee BioMed Central Ltd.

            This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

            EPMA World Congress 2013
            Brussels, Belgium
            20-21 September 2013
            History
            Categories
            Meeting Abstract

            Molecular medicine
            Molecular medicine

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