The human body is an open system that receives a variety of xenobiotics in the course of dietary route or respiration and in the form of the drugs. As a lump sum scores of toxic and potentially toxic substances are detected in a human body that significantly affect health and human lifespan. There are also thousands of diseases, dozens of which latently occur in the body of each person. Traditional diagnosis is not able to screen all the variety of xenobiotics and potential human diseases. For this purpose metabolomic blood test is available which is of non-targeted (review) nature. The test can reveal all the diversity of low molecular weight substances in blood, including tens of thousands of xenobiotics and markers of different diseases. Detection of xenobiotics in the blood, directional detoxification and subsequent monitoring of “body's chemical purity” together with the control of “normality” of all biochemical processes in the organism, using metabolomics blood tests is a necessary and presumably a sufficient condition in the implementation of inherent human genotype longevity. This article describes the purpose, implementation and interpretation of metabolomic blood test facilitating the implementation of this method in the Russian Federation, in order to significantly increase the average life expectancy.
Lokhov P.G., Lisitsa A.V., Archakov A.I. (2017) Metabolomic blood test: purpose, implementation and interpretation of data. Biomeditsinskaya Khimiya, 63(3), 232-240.
Lokhov P.G. et al. Metabolomic blood test: purpose, implementation and interpretation of data // Biomeditsinskaya Khimiya. - 2017. - V. 63. -N 3. - P. 232-240.
Lokhov P.G. et al., "Metabolomic blood test: purpose, implementation and interpretation of data." Biomeditsinskaya Khimiya 63.3 (2017): 232-240.
Lokhov, P. G., Lisitsa, A. V., Archakov, A. I. (2017). Metabolomic blood test: purpose, implementation and interpretation of data. Biomeditsinskaya Khimiya, 63(3), 232-240.
Hill R.H.Jr., Ashley D.L., Head S.L., Needham L.L., Pirkle J.L. (1995) Arch. Environ. Health, 50, 277-280. CrossRef Scholar google search
Broad scan analysis of the FY82 national human adipose tissue survey specimens. (2012) EPA Office of Toxic Substances. EPA 560/5-86-035. Scholar google search
Dunn W.B., Broadhurst D.I., Atherton H.J., Goodacre R., Griffin J.L. (2011) Chem. Soc. Rev., 40, 387-426. CrossRef Scholar google search
Psychogios N., Hau D.D., Peng J., Guo A.C., Mandal R., Bouatra S., Sinelnikov I., Krishnamurthy R., Eisner R., Gautam B. et al. (2011) PLoS One, 6(2), P.e16957. CrossRef Scholar google search
Lin L., Yu Q., Yan X., Hang W., Zheng J., Xing J., Huang B. (2010) Analyst., 135(11), 2970-2978. CrossRef Scholar google search
Beecher C.W.W. (2003) Metabolic profiling: Its role in biomarker discovery and gene function analysis. Springer, New York, p.335. Scholar google search
Engel J., Blanchet L., Engelke U.F.H., Wevers R.A., Buydens L.M.C. (2014) PLoS ONE, 9(4), P.e92452. CrossRef Scholar google search
Nicholson J.K., Holmes E., Kinross J.M., Darzi A.W., Takats Z., Lindon J.S. (2012) Nature, 491, 384-392. CrossRef Scholar google search
Engelke U.F.H., Moolenaar S.H., Hounderop S.M.G.C., Morava E., van der Graaf M. (2007) Handbook of 1H-NMR spectroscopy in inborn errors of metabolism: body fluid NMR spectroscopy and in vivo MR spectroscopy: Heilbronn: SPS Verlagsgesellschaft. Scholar google search
Lokhov P.G., Trifonova O.P., Maslov D.L., Archakov A.I. (2013) European journal of cancer prevention: the official journal of the European Cancer Prevention Organization (ECP), 22(4), 335-341. Scholar google search
