Metformin: Expanding the Scope of Application—Starting Earlier than Yesterday, Canceling Later

Today the area of application of metformin is expanding, and a wealth of data point to its benefits in people without carbohydrate metabolism disorders. Already in the population of people leading an unhealthy lifestyle, before the formation of obesity and prediabetes metformin smooths out the adverse effects of a high-fat diet. Being prescribed at this stage, metformin will probably be able to, if not prevent, then significantly reduce the progression of all subsequent metabolic changes. To a large extent, this review will discuss the proofs of the evidence for this. Another recent important change is a removal of a number of restrictions on its use in patients with heart failure, acute coronary syndrome and chronic kidney disease. We will discuss the reasons for these changes and present a new perspective on the role of increasing lactate in metformin therapy

Characteristics of eating behavior and the level of hormones regulating the appetite in patients with type 2 diabetes mellitus and body mass index more than 35 kg /m2

Background. The role of the hormones in eating behavior in the regulation of appetite has been well studied, but their relationship with various types of eating behavior has not been established. Aims. To study the frequency of different types of eating behavior, hunger/satiety feeling estimated by the visual analog scale and levels of leptin and gastrointestinal tract hormones that are involved in appetite regulation, fat and carbohydrate metabolism (ghrelin and glucagon-like peptide 1) in patients with diabetes mellitus type 2 and obesity. Materials and methods. The study included 35 people with obesity (BMI>35 kg/m2) and diabetes mellitus type 2 (T2DM) who received the stable sugar-lowering therapy, the median body mass index (BMI) was 40,1 [36,5; 49,6] kg/m2, the median age was 58 [52,5; 64] years. Blood tests for insulin, leptin, ghrelin, glucagon-like peptide-1, C-peptide, glucose, glycated hemoglobin and lipids profile were done in all cases, also HOMA-IR and HOMA-β were calculated. All patients completed questionnaires determining eating behavior type and hunger/satiety feeling severity. Results. In patients with T2DM and obesity a high frequency of combination of different types of eating behavior were found, it was 54,3%. Among the isolated types, restrictive eating behavior was more common – in 40%. In patients with different types of eating behavior the tendency to difference in the level of hormones regulating appetite was found, but it was not significant. High frequency of an appropriate reduction of postprandial ghrelin level was found in patients with restrictive type of eating behavior. Correlation between the level of hormones regulating appetite and hunger/satiety feeling was weak, it might reflect the resistance to these hormones in patients with severe obesity and T2DM. At the same time the relationship between the ghrelin level and the β-cells functional state parameters was significant. Conclusions. The severity of leptin and ghrelin resistance correlated with each other in T2DM and obesity patients; the severity of ghrelin resistance was associated with the beta cells functional state; according to our data postprandial ghrelin level may have opposite changes in patients with T2DM and obesity and its adequate reduction is more common for patients with restrictive type of eating behavior

Relationship between the Levels of lncRNA H19 in Plasma and Different Adipose Tissue Depots with Patients’ Response to Bariatric Surgery

Bariatric surgery represents a widespread approach to treating morbid obesity. The search for biomarkers to identify patients to whom this type of treatment will be most effective is needed. Our aim was to characterize the relationship of levels of lncRNA H19 in plasma and different adipose tissue depots with patients’ response to bariatric surgery. The study includes control subjects, patients with obesity and patients with obesity accompanied by impaired carbohydrate metabolism (ICM). Quantitative analysis of lncRNA H19 levels has been performed using qPCR in plasma and subcutaneous (SAT) and visceral adipose tissue (VAT). Patients with obesity without ICM have higher levels of lncRNA H19 in VAT compared to SAT, and higher levels of lncRNA H19 in SAT compared to SAT of control individuals. One year after the intervention, levels of lncRNA H19 decreased in SAT of patients with obesity without ICM. The preoperative level of lncRNA H19 in VAT demonstrates a positive correlation with excess weight loss and a negative correlation with initial BMI. In conclusion, ICM affects expression of lncRNA H19 in SAT of patients with obesity. The preoperative level of lncRNA H19 in VAT can be used to predict excess weight loss in patients with obesity after bariatric surgery

Terahertz spectroscopy of diabetic and non-diabetic human blood plasma pellets

Significance: The creation of fundamentally new approaches to storing various biomaterial and estimation parameters, without irreversible loss of any biomaterial, is a pressing challenge in clinical practice. We present a technology for studying samples of diabetic and non-diabetic human blood plasma in the terahertz (THz) frequency range. Aim: The main idea of our study is to propose a method for diagnosis and storing the samples of diabetic and non-diabetic human blood plasma and to study these samples in the THz frequency range. Approach: Venous blood from patients with type 2 diabetes mellitus and conditionally healthy participants was collected. To limit the impact of water in the THz spectra, lyophilization of liquid samples and their pressing into a pellet were performed. These pellets were analyzed using THz time-domain spectroscopy. The differentiation between the THz spectral data was conducted using multivariate statistics to classify non-diabetic and diabetic groups’ spectra. Results:We present the density-normalized absorption and refractive index for diabetic and nondiabetic pellets in the range 0.2 to 1.4 THz. Over the entire THz frequency range, the normalized index of refraction of diabetes pellets exceeds this indicator of non-diabetic pellet on average by 9% to 12%. The non-diabetic and diabetic groups of the THz spectra are spatially separated in the principal component space. Conclusion: We illustrate the potential ability in clinical medicine to construct a predictive rule by supervised learning algorithms after collecting enough experimental data