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5P-medicine: precision diabetes

https://doi.org/10.33667/2078-5631-2019-1-4(379)-7-15

Abstract

Thanks to the approaches of precision medicine, great strides have been made in the diagnosis and treatment of diabetes mellitus, taking into account the individual characteristics of each patient or subgroups for monogenic subtypes of diabetes and newborn diabetes. For monogenic diabetes, molecular genetics can identify discrete etiological subtypes, the manifestation of which has profound implications for treatment, and predict the further development of concomitant clinical signs that allow early prophylaxis or supportive therapy. In contrast, second-type diabetes mellitus has a polygenic nature, which makes it difficult to define discrete clinical subtypes. The implementation of the approaches of precision medicine in the diagnosis and treatment of diabetes mellitus will allow a targeted selection of drug therapy. This review shows the successful use of precision medicine in monogenic diabetes and the possibilities of this approach to solving problems in diabetes of the second type.

About the Authors

S. N. Scherbo
Russian National Research Medical University n.a. N. I. Pirogov
Russian Federation


D. S. Scherbo
Russian National Research Medical University n.a. N. I. Pirogov
Russian Federation


V. A. Bespalova
Russian National Research Medical University n.a. N. I. Pirogov
Russian Federation


T. I. Turkina
Russian National Research Medical University n.a. N. I. Pirogov
Russian Federation


M. I. Savina
Russian National Research Medical University n.a. N. I. Pirogov
Russian Federation


M. Yu. Kralin
People’s Friendship University of Russia
Russian Federation


A. L. Tishchenko
People’s Friendship University of Russia
Russian Federation


Review

For citations:


Scherbo S.N., Scherbo D.S., Bespalova V.A., Turkina T.I., Savina M.I., Kralin M.Yu., Tishchenko A.L. 5P-medicine: precision diabetes. Medical alphabet. 2019;1(4):7-15. (In Russ.) https://doi.org/10.33667/2078-5631-2019-1-4(379)-7-15

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ISSN 2078-5631 (Print)
ISSN 2949-2807 (Online)