Гомеостаз при метаболически здоровом ожирении

Recently, much attention has been paid to the concept of metabolically healthy obesity (MHO), which is understood as the presence of excess body weight in a person without any significant metabolic disorders (dyslipidemia, impaired insulin resistance, etc.)

A single-center, interventional, cross-sectional study was carried out in the clinic of the Goldberg Research Institute of Pharmacology and Regenerative Medicine of Tomsk National Research Medical Center (TNIMC) of the Russian Academy of Sciences, Tomsk, Russia. The study included 34 healthy volunteers aged 18 to 43 years, including 19 men and 15 women.

Inclusion Criteria: healthy Caucasian male and female volunteers; non-smokers (last smoking episode was 6 months before the study); with the verified diagnosis  “healthy” according to medical history, standard clinical, laboratory and instrumental examination; not obese, i.e. body mass index (BMI) within the range of 18.5 to 30.0 kg/m2.

Exclusion Criteria: the need for or use of medications; the subject’s decision to withdraw from the study or the subject’s refusal to cooperate with the research team; the subject’s failure to comply with the prescribed study regimen and restrictions; a positive pregnancy test in female subjects.

All volunteers underwent a metabolic activity study and hormonal status assessment one hour after the standardized meal intake.

The examination included an analysis of complaints, medical history and clinical examination. During the physical examination, a general examination was performed with measurement of height (m), body weight (kg); BMI was calculated using the formula: body weight (kg)/height (m)2. Using standard laboratory methods, biochemical blood testing was done one hour after the standardized meal of 500 kcal. In blood plasma, insulin and cortisol levels were determined using commercial enzyme immunoassay kits. All analysis procedures were carried out according to the instructions included with the kits, using a Stat Fax 2100 microplate reader (AWARENESS TECHNOLOGY Inc., USA). The insulin level was measured by the ELISA method using a standard reagent kit from DRG International, Inc. (Germany). Insulin and cortisol contents were expressed in μU/ml and μg/dl, respectively.

Variation statistics methods were used to process the results. Statistical analysis was carried out using Statistica 13.0 (TibCo, USA). Quantitative indicators were expressed as mean ± standard error of the mean. To compare the correlation coefficient for parametric data, we used the Pearson correlation coefficient (R) with the Yates correction and the likelihood correction. For nonparametric data, Spearman’s rank correlation coefficient was used (ρ). The analysis took into account only connections with a correlation coefficient R>0.6, characterizing a measure of strong linear dependence between characteristics and reflecting the rigidity of the relationship between the analyzed parameters.

The Local Ethics Committee of the Goldberg Research Institute of Pharmacology and Regenerative Medicine of TNIMC decided that this scientific work complies with the ethical standards of good clinical practice and can be carried out at the clinic of the Goldberg Research Institute of Pharmacology and Regenerative Medicine, TNIMC (Minutes No12 dated December 28, 2022). In accordance with the Declaration of Helsinki of the World Medical Association, each participant signed an informed consent for the examination approved by the Local Ethics Committee.

This article includes the results of a cross-sectional study of healthy volunteers who were not obese. Biochemical and hormonal parameters were studied an hour after a standardized meal of 500 kcal. It is believed that a pronounced increase in insulin occurs at 10-15 minutes after a meal in healthy individuals. Insulin helps compensate for the resulting hyperglycemia. However, normal glucose and insulin values are usually recorded 60 minutes later [5]. The obtained results did not meet our expectations: 10 volunteers had elevated glucose levels, up to a maximum of 8.3 mmol/l; in 14 people, insulin levels ranged from 25 to 85.5 µU/ml. It was not possible to use the data obtained to diagnose insulin resistance, since its assessment is carried out using calculated indices based on the ratio of fasting (basal) values of immunoreactive insulin and fasting plasma glucose. To understand the results obtained and analyze data, the volunteers were divided into 2 groups according to body mass index (BMI). Group 1 consisted of 13 people with normal body weight (BMI from 18.50 to 24.99 kg/m2). Group 2 included 21 volunteers with excess body weight (BMI > 25-29.99 kg/m2). Based on the results of the hormonal examination, we identified another group of volunteers with excess body weight and deviations in insulin levels from the reference values (Table 1).

In each of the three subgroups of healthy volunteers, data analysis was carried out to assess indicators characterizing the strength of the statistical relationship between any two values.

In Group 1, 8 positive correlations were identified (R>0.6, Fig. 1). All relationships can be explained from the point of view of normal physiology. The relationship between triglyceride levels and screening markers of liver function is clear. The biological role of fats in the body – ensuring plastic and energy metabolism – is unthinkable without the metabolic function of liver enzymes. Under normal physiological conditions, blood glucose concentrations are invariably related to insulin levels. When food enters the body, there is a rise in blood glucose levels, which raises insulin secretion by the pancreatic β-cells. The described correlations in this group of volunteers reflect precise targeted control. Processes in the internal environment of the body trigger a strictly defined specific need for a certain physiological effect.

Figure 1 - Correlations (R>0.6) between indicators in healthy volunteers with a BMI of 18.5-24.9 kg/m2

DOI:10.60797/IRJ.2024.150.36.2

17 correlations were identified (R>0.6) in Group 2. Among them, there were 3 negative correlations (Fig. 2). When considering the identified correlations between the metabolism of carbohydrates, proteins and fats, it becomes obvious that these types of metabolism are closely related to each other. The basis for the relationship is the relationship between proteins, carbohydrates and lipids as substrates and products of interconversion with a common energy supply and common end products of metabolism

[6]

. At the same time, there is competition for energy sources between the processes of biosynthesis of proteins, lipids and polysaccharides; reactions of various types of metabolism have common precursors and intermediate products

[7]

. Some other relationships that can be explained by normal physiology appear. The concentration of uric acid in blood correlates with weight. Uric acid is the main end product of purine metabolism. With an increase in BMI, increased synthesis of fatty acids activates the pentose pathway of glucose oxidation, promoting the formation of ribose-5-phosphate, from which the purine nucleus is synthesized

[8]

. The revealed negative correlation between plasma urea and triglycerides in this group can be explained by the prevailing activity of hepatocytes in relation to fat metabolism over the synthetic function of the liver. Urea, being the end product of protein catabolism, is synthesized in hepatocytes. This level clearly demonstrates the central role of the liver in coordinating metabolic processes and maintaining homeostasis

[9]

. The liver, carrying out external and internal secretion, receives metabolic information through the bloodstream and acts as a stabilizer of the amount of glucose and amino acids in the body. It plays a critical role in adapting metabolic processes to the diet, including through the redistribution of nutrient flows between different organs and tissues. The identified relationships between indicators of protein, carbohydrate and fat metabolism and markers of the activity of catabolic processes reflect the tension of tissue mechanisms aimed at meeting the energy needs of the body. Thus, fat catabolism includes lipolysis to glycerol and fatty acids for further resynthesis of triglycerides or the inclusion of its oxidation product in glycolysis or gluconeogenesis

[10]

. Therefore, the discovery of a negative correlation between blood glucose levels and total cholesterol concentration was unexpected. It is likely that healthy volunteers with a BMI of 24.9-29.9 kg/m2 experience a longer, but still physiological, increase in glucose levels after meals than a group of volunteers with a normal BMI. The mechanism of consumption of excess glucose by insulin-dependent tissues is not impaired. The identified correlations in this group of volunteers are a manifestation of the growing tension of local interactions and demonstrate a set of actions of the main control systems focused on the very implementation of the action.

Figure 2 - Correlations (R>0.6) between indicators in healthy volunteers with a BMI of 24.9-29.9 kg/m2

DOI:10.60797/IRJ.2024.150.36.3

We established 46 correlations (R>0.6) in the group of volunteers with a BMI of 25.0-29.9 kg/m2 and insulin level >25 µU/ml. There were 18 negative correlations among the established ones (Fig. 3). We identified a multiple relationship between urea levels and metabolic processes, reflecting the common final path of dissimilation for carbohydrate, lipid and protein metabolism. Acetyl-CoA, formed during the catabolism of proteins, lipids and carbohydrates, enters the tricarboxylic acid cycle, where it is oxidized to carbon dioxide. The resulting reducing equivalents in the form of NAD(P)H are used further in the respiratory chain to produce ATP. Carbon dioxide can be used for the synthesis of fatty acids (via malonyl-CoA) and urea, purines and pyrimidines. In urea, end products of protein, lipid and carbohydrate metabolism (carbon dioxide and ammonia) are directly linked to each other.

Figure 3 - Correlations (R>0.6) between indicators in healthy volunteers with a BMI of 24.9-29.9 kg/m2 and insulin levels >25 µU/ml

DOI:10.60797/IRJ.2024.150.36.4

In addition to those previously identified, additional multiple connections appear between metabolic parameters and biochemical liver tests.  Taking into account that these volunteers have elevated insulin levels, which distinguishes them from the volunteers of Group 1 and Group 2, it is worth focusing on the anabolic effect of insulin, which promotes the synthesis and accumulation of glycogen and fat in tissues. Insulin affects carbohydrate metabolism by activating the transport of glucose across the cell membrane, accelerating the oxidative breakdown of glucose. It accelerates glycogen synthesis in the liver and muscles, inhibits glycogenolysis and gluconeogenesis. At the same time, insulin takes part in the regulation of fat metabolism, accelerating lipogenesis from sugar breakdown products and slowing down lipolysis

[11]

. Moreover, insulin accelerates protein synthesis from sugar breakdown products. All these processes ultimately lead to a decrease in plasma glucose concentration. Normally, in the liver, insulin inhibits glycogen phosphorylase, which leads to increased glycogen synthesis and inhibition of its breakdown. Insulin also activates glycolysis enzymes, accelerates the breakdown of glucose to acetyl-coenzyme A, which is a substrate for the synthesis of fatty acids

[12]

. At the same time, gluconeogenesis enzymes are inactivated, thereby inhibiting glucose synthesis. Insulin increases the activity of the fatty acid synthesis enzyme – acetyl-CoA carboxylase – stimulating the formation of malonyl-CoA fatty acids. It blocks the activity of lipoprotein lipase, which breaks down triglycerides

[13]

. The negative relationship between glucose levels, total cholesterol and indicators of liver enzymatic activity that appeared in this group of volunteers may be explained by the development of insulin resistance in overweight. Insulin resistance is a condition, when adipose tissue resists the antilipolytic action of insulin. Intensive lipolysis in visceral adipocytes leads to the release of large amounts of free fatty acids into the portal circulation. Entering the liver, on the one hand, they become a substrate for the formation of atherogenic lipoproteins; on the other hand, they prevent the binding of insulin to the hepatocyte, potentiating insulin resistance, which leads to a decrease in glycogen synthesis, activation of glycogenolysis and gluconeogenesis.

Of particular interest is the emerging integration of cortisol in the regulation of metabolic processes. Of course, maintaining homeostasis requires a complex interaction of a number of organs and systems of the body, including the neuroendocrine