Choice of neuroprotective therapy regimens in patients with chronic cerebral ischemia, taking into account the synergy of drug interactions

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OBJECTIVE

Optimization of the choice of neuroprotective treatment regimens in patients with chronic cerebral ischemia that takes into account the synergy of drug interactions gives the doctor an opportunity for personalized approach that increases the effectiveness of treatment.

MATERIAL AND METHODS

Differential chemoreactomic analysis of the synergism of ethyl methyl hydroxypyridine succinate (EMHPS) and a number of monocomponent neuroprotective agents (piracetam, vinpocetine, citicoline, choline alfoscerate); proteomic analysis of polypeptide neuroprotectors (cerebrolysin, etc.); an expert analysis of multicomponent neuroprotector Cytoflavin.

RESULTS

Piracetam, citicoline (Neupilept) and choline alfoscerate (Cereton) effectively enhance the pharmacological properties of EMHPS and vice versa. Expert assessments of the synergism between the properties of EMHPS, polypeptide neuroprotectors (cerebrolysin) and other multicomponent drugs (cytoflavin), which are also used in adjuvant therapy with EMHPS, are presented.

CONCLUSION

In real clinical practice, of particular interest is the objectification of the appointment of combined therapy regimens. This study indicates that EMHPS can provide a favorable background for maximizing the effectiveness of therapy when used with other drugs.

Keywords:

ethylmethylhydroxypyridine succinate

piracetam

choline alfoscerate

citicoline

peptide preparations

cytoflavin

pharmacoinformatics

data mining

synergism

Authors:

Gromova O.A.

Federal Research Center «Computer Science and Control»

ORCID: 0000-0002-7663-710X

Torshin I.Yu.

Federal Research Center «Computer Science and Control»

ORCID: 0000-0002-2659-7998

Putilina M.V.

Pirogov Russian National Research Medical University

ORCID: 0000-0002-8655-8501

Semenov V.A.

Kemerovo State Medical University

Rudakov K.V.

Institute of Pharmacoinformatics;
Center for Big Data Storage and Analysis of Moscow State University

Received:

01.06.2020

Accepted:

08.06.2020

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