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We studied the effects of the addition of large neutral amino acids, such as tyrosine (Tyr) and tryptophan (Trp), in mice DBA/2J and tetrahybrid mice DBCB receiving a high-fat, high-carbohydrate diet (HFCD) for 65 days. The locomotor activity, anxiety, muscle tone, mass of internal organs, liver morphology, adipokines, cytokines, and biochemical indices of animals were assessed. The Tyr supplementation potentiated increased anxiety in EPM and contributed to a muscle tone increase, a decrease in the AST/ALT ratio, and an increase in protein anabolism in both mice strains. Tyr contributed to a decrease in liver fatty degeneration and ALT reduction only in DBCB that were sensitive to the development of obesity. The addition of Trp caused an increase in muscle tone and potentiated an increase in anxiety with age in animals of both genotypes. Trp had toxic effects on the livers of mice, which was manifested in increased fatty degeneration in DBCB, edema, and the appearance of micronuclei in DBA/2J. The main identified effects of Tyr on mice are considered in the light of its modulating effect on the dopamine neurotransmitter metabolism, while for the Trp supplement, effects were presumably associated with the synthesis of its toxic metabolites by representatives of the intestinal microflora.

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Цель исследования -проведение регрессионного моделирования физического статуса населения России с 1917 по 2017 годы и построение прогностической модели до 2035 года.Материал и методы. В основе методологического подхода были использованы методы корреляционно-регрессионного анализа, в частности построение линейных регрессионных моделей. Сбор данных основан на архивных исторических документах. Статистическая обработка данных проводилась с использованием SPSS и Excel. Уровень значимости принимается равным 0.05.Результаты. В результате исследования были сформулированы основные регрессионные модели для каждого из исследуемых показателей. В соответствии с приведенными регрессионными моделями был составлен прогноз до 2035 года по всем исследуемым показателям.Заключение. Данный метод может рассматриваться как перспективный методологический инструмент при исследовании динамического ряда соответствующих показателей при выявлении не только тренда, но и скрытой колебательной компоненты данного ряда.Ключевые слова: регрессионное моделирование; линейный тренд; население России; прогнозирование. Application of the Regression Modeling Method in Assessing Changes and Predicting the Physical Status of the Russian PopulationThe aim of the study was to perform regression modeling of the physical status of the Russian population from 1917 to 2017 and to build a prognostic model until 2035.Material and methods. The methodological approach was based on the methods of correlation and regression analysis, namely, on the construction of linear regression models. Data collection was based on the archival historical documents. Statistical data were processed using SPSS and Excel. The significance level was assumed to be 0.05.Results. The basic regression models for each of the studied parameters were formulated in the study. In accordance with the given regression models, the authors made a forecast for all the studied parameters up to 2035.Conclusion. This method can be considered as a promising methodological tool in the study of the dynamic series of relevant parameters in identifying not only the tendency, but also the hidden oscillatory component of the series.