Background: Elite athletes regularly participate in national and international sporting competitions while simultaneously engaging in high-intensity and intensified training programs. Therefore, assessing changes in blood biochemical parameters is of considerable importance for evaluating athletes’ physiological adaptation to training loads. In particular, determining the activity of lactate dehydrogenase enzyme in athletes’ blood plasma provides a scientific basis for improving individual performance, evaluating sports performance, and enhancing the effectiveness of future training programs. Aim: To examine plasma lactate dehydrogenase enzyme activity in athletes of the Mongolian National Team. Materials and Methods: A total of 51 athletes, including 26 men and 25 women from 6 types of sports of the Mongolian National Team included in the study. Anaerobic capacity was assessed using a Monark 894E Ergomedic Peak Bike, designed to apply exercise load. Blood serum lactate level and lactate dehydrogenase enzyme activity were determined using a Biobase BK-280 fully automated biochemical analyzer. Heart rate, peripheral blood oxygen levels, and oxygen saturation were measured using a pulse oximeter. Result: The average age of the participating was 24.04±4.15 years, with average height of 168±8.78 cm and average weight of 71.01±7.69 kg. The average BMI was 24.82±4.12 kg/m². Pre-exercise lactate dehydrogenase enzyme activity averaged 177.1±28.96 U/L, while post-exercise lactate dehydrogenase activity averaged 223.5±51.56 U/L. The average heart rate before exercise was 66.04±8.9 bpm, while post-exercise heart rate was 123.6±16.06 bpm. The average VO2 max was 95.18±2.48. Conclusion The activity of the enzyme lactate dehydrogenase before and after exercise showed significant differences in the age groups 20-29 (p<0.01). When comparing lactate dehydrogenase enzyme activity before and after exercise by sport, statistically significant increases were observed in freestyle wrestling and judo athletes (p<0.01).

Background: Sarcopenia is a multifactorial geriatric syndrome characterized by age-related loss of muscle mass, muscle strength, and physical performance. In recent years, neurotrophic and neuromuscular biomarkers have been investigated as potential diagnostic indicators of sarcopenia; however, evidence regarding their sex-specific differences remains limited. Aim: To evaluate the sex-specific associations of serum BDNF, GDNF, and CAF22 levels with sarcopenia and muscle-related parameters among older adults. Materials and Methods: This analytical cross-sectional study included adults aged 60 years and older. Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS 2019) criteria. Serum BDNF, GDNF, and CAF22 levels were measured using ELISA. Group differences were analyzed using independent t-tests, correlations were assessed using Pearson correlation analysis, and diagnostic performance for sarcopenia was evaluated using receiver operating characteristic (ROC) analysis. Multivariable logistic regression analysis was also performed. Results: No statistically significant differences were observed in serum BDNF, GDNF, and CAF22 levels between sarcopenic and non-sarcopenic participants in either the male or female groups (all p>0.05). ROC analysis demonstrated AUC values ranging from 0.540 to 0.542 in males and from 0.508 to 0.530 in females for BDNF, GDNF, and CAF22. Multivariable logistic regression analysis revealed that age (OR=1.12, 95% CI: 1.04–1.21, p=0.003) and lower fat-free mass index (OR=0.78, 95% CI: 0.66–0.91, p=0.001) were significantly associated with sarcopenia, whereas BDNF, GDNF, and CAF22 showed no independent association with sarcopenia. Conclusions 1. No statistically significant sex-specific differences were observed in serum BDNF, GDNF, and CAF22 levels between sarcopenic and non-sarcopenic older adults (all p>0.05). 2. CAF22 levels were weakly negatively correlated with muscle mass and fat-free mass index in males (p<0.05), whereas BDNF levels showed weak positive correlations with handgrip strength and fat-free mass index in females (p<0.05). CAF22 levels also demonstrated a weak positive correlation with age (p<0.05). 3. ROC and multivariable logistic regression analyses indicated limited diagnostic utility of BDNF, GDNF, and CAF22 for sarcopenia (AUC=0.508–0.542), and none of these biomarkers showed an independent association with sarcopenia (all p>0.05). In contrast, older age (OR=1.12, p=0.003) and lower fat-free mass index (OR=0.78, p=0.001) were significantly associated with sarcopenia.

Background: Academician Ragchaa B made a profound contribution to the foundation and development of internal medicine in Mongolia. He was among the first graduates of the Faculty of Medicine at the National University of Mongolia, becoming the country’s first internal medicine physician, educator, and researcher in the field of internal pathology. Ragchaa B achieved numerous pioneering roles, including being, the first Mongolian head of the Department of Internal Medicine, and the first professor in this specialty. His extensive contributions helped establish and advance internal medicine and medical education in Mongolia. Aim: The aim of this study is to analyze the scholarly works of Academician Ragchaa Byambajav to explore and disseminate his valuable contributions to the foundation and development of the science of “Internal Medicine Diagnostics” and hepatology Materials and Methods: This study utilized a documentary research method to analyze the contributions of the distinguished scholar, Academician Ragchaa B. The research involved a comprehensive review of his published books, textbooks, scientific articles, presentations, and archival materials. Additionally, the study examined references to Ragchaa B in books, newspapers, and collected written and oral recollections from his former students across different generations. Through systematic analysis of these sources, the study aimed to provide an in-depth understanding of his academic and professional legacy. Results: Academician Ragchaa B, during his teaching career, graduated approximately 4,000 medical professionals and produced a total of 156 scholarly works. Drawing from his vast knowledge, skills, and experience, he became renowned for writing the textbooks “Clinical Aspects of Botkin’s Disease” (1969) and “Diagnosis of Internal Diseases” (1970), earning recognition as the first scholar to author a Mongolian medical textbook. In 1977, Professor Ragchaa B consolidated his research on liver diseases and authored the monograph “Clinical Aspects of Botkin’s Disease,” which led to him earning the Doctor of Medical Sciences (Sc.D.) degree. Conclusion 1. Academician Ragchaa Byambajav was a distinguished scholar who made significant contributions to the science of internal medicine diagnostics. He served as the first Mongolian head of the “Department of Internal Medicine Diagnostics” in 1953, teaching for over 50 years and acting as a consultant in internal medicine for more than 40 years. 2. He directed research on viral hepatitis and authored the monograph “Clinical Aspects of Botkin’s Disease”, which led to his achievement of a Doctor of Medical Sciences degree in 1977. This accomplishment established him as the first specialized researcher and educator in hepatology in Mongolia.

Background: Obesity, especially central obesity, is a risk factor for non-communicable chronic diseases such as dyslipidemia, type 2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and metabolic syndrome (MetS). Aim: Study the association between the subcutaneous fat area (SFA) and visceral fat area (VFA) with lipid metabolism parameters in adults with MetS. Materials and Methods: Data from 1511 participants who visited the ‘NURA Mongolia’ Ai Health screening center between September 2023 and February 2024, including general information, DEXA (Dual X-ray Absorptiometry), and biochemical analysis results, were used. Metabolic syndrome (MeS) was assessed based on the harmonizing criteria 2009 (≥3 criteria). VFA and SFA were categorized into four groups using quartiles (Q1-Q4). Statistical analysis was performed using SPSS v26, including T-tests, multiple logistic regression (OR, 95% CI), and ROC (AUC) analysis. Results: The average age of the participants was 30.5±3.9 years, with a BMI of 25.1 kg/m², and 49.5% were male. The group with MetS (n=531) had significantly higher levels of VFA and SFA compared to the group that rated their health as relatively healthy and had no clinical diagnosis (n=979) (control group) (p<0.0001), with males showing higher VFA and females showing higher SFA (p<0.0001). The Q4 group for VFA had a significant association with MetS in males (4.611, 95% CI=2.394–9.591) and females (2.253, 95% CI=1.097-3.912) (p<0.001). Logistic regression analysis showed that increased VFA was more strongly associated with MetS in males (β=0.325, p<0.0001) and females (β=0.338, p<0.003) than BMI. The AUC for predicting MetS was 0.790 (95% CI=0.750-0.831) for VFA and 0.401 (95% CI=0.351-0.451) for SFA, with all results being statistically significant (p<0.001). VFA had a higher predictive value compared to other markers. Conclusion In healthy men with metabolic syndrome, VFA is more prominently defined, while SFA is higher in healthy women. Since VFA is a better predictor of metabolic syndrome than SFA, it increases the risk of diseases such as cardiovascular diseases and type 2 diabetes in men, whereas SFA in women serves as a protective factor.

Background: Saliva as a non-invasive biological sample can be a game-changer in early disease detection and health risk assessment. Objective: To examine the association between participants' dietary patterns and the activity of salivary amylase, along with serum amylase levels in humans. Materials and methods: This study was conducted at the research laboratory of the Department of Biochemistry, School of Biomedicine, MNUMS. A total of 30 students aged 19–22 years participated in the study. Saliva samples were collected three times at one-week intervals, and one blood sample was collected from each participant, alongside a dietary questionnaire. The activity of the amylase enzyme in both saliva and serum samples was determined using the iodine-starch method. Results: When evaluating the amylase enzyme activity based on participants' carbohydrate intake, the result was p > 0.05, indicating no statistically significant difference. Similarly, statistical analysis of the use of mouthwash and vitamin supplements also showed p > 0.05, which means these variables had no statistically significant effect on amylase activity. The correlation between salivary and serum amylase activity was found to be r = 0.365, indicating a weak positive correlation, but the difference was not statistically significant. Conclusion The intake of carbohydrates, vitamins, and mouthwash does not significantly affect the activity level of the salivary amylase enzyme, according to research findings. However, external factors such as stress and air pollution have been shown to exert a measurable influence on its activity. A comparative analysis of enzyme levels in saliva and blood using amylase as a representative marker revealed similar activity levels in both fluids. This suggests that saliva may serve as a viable non invasive sample for detecting various biomarkers and diagnosing diseases. The results underscore the potential of salivary components, particularly amylase, as valuable indicators in diagnostic applications.

Background: Due to Mongolia’s harsh climate and seasonal limitations in fresh food supply, fruits, vegetables, and medicinal plants are often consumed in preserved forms. However, the preservation methods and storage conditions may significantly alter their antioxidant activity, which is crucial for mitigating oxidative stress and preventing chronic diseases. Objective: This study aimed to evaluate the antioxidant activity of 19 commonly consumed vegetables, berries, and dried medicinal plants under different storage conditions including fresh, cold storage (cellar), and frozen (-20°C). Methods: Samples were extracted in 80% methanol and tested using the DPPH radical scavenging assay. Absorbance was measured at 517 nm using a UV-Vis spectrophotometer. IC⁻⁻ values were calculated to compare antioxidant potency. Statistical differences were assessed using paired and unpaired t-tests with SPSS v27 (p<0.05) Results: Cold storage significantly reduced antioxidant activity in root vegetables, with IC⁻⁻ values increasing by 2.4 to 13.5 times (p<0.01), indicating diminished radical scavenging potencial. In contrast, frozen samples showed minimal change (p>0.05). Dried medicinal plants such as Rosa canina and Thymus serpyllum maintained strong activity, with IC⁻⁻<50 μg/mL. Conclusion Cellar storage leads to a notable decline in antioxidant capacity of common vegetables, while freezing is a more effective method for preservation. Dried medicinal herbs remain potent sources of antioxidants and may be recommended for year-round use in Mongolian diets.

Background: The synthesis of multifunctional nanoparticles by integrating the bioactive properties of the ethanol extract of Urtica dioica L. a medicinal plant widely distributed in Mongolia, with zinc oxide nanoparticles (ZnO-NP) serves as the foundation of the present study. The aim is to produce nanoparticles with synergistic antioxidant, anti-inflammatory, antibacterial, and anticancer activities. Objective: To synthesise dual-action nanoparticles (NPs) by integrating ZnO with the extract of Urtica dioica L. and to characterise their properties. Materials and Methods: The Control group, as ZnO-NPs, and the study group, as medicinal plant ethanol extraction loaded nanoparticles (UD-ZnO-NPs), were synthesised using green synthesis techniques. The morphology and particle size were characterised by Scanning Electron Microscopy (SEM), chemical bonding was analysed using Fourier Transform Infrared Spectroscopy (FTIR), and crystalline structure was examined by X-ray Diffraction (XRD). Hemolytic activity assays were conducted to assess cytotoxicity. Results: The Control and study group’s morphology and size distribution were uniform and spherical. The average particle size of the study group (UD-ZnO NPs) was 63 nm, while the control group (ZnO-NPs) was 77 nm. FTIR analysis showed that the basic chemical bonds in both types of nanoparticles were similar; however, additional peaks corresponding to the bioactive compounds from the Urtica dioica extract were detected in the UD ZnO-NPs. XRD analysis revealed that both types of ZnO-NPs investigated the same crystalline structure, consistent with the standard reference data (JCPDS No. 36 1451). Hemolysis assays showed that at concentrations ranging from 0.5 to 2.5 mg/ mL, the hemolytic activity was below 5%, indicating low cytotoxicity. Conclusion ZnO-NPs with and without Urtica dioica extract were successfully synthesized via a green method, yielding spherical, uniformly dispersed particles ranging from 63 to 77 nm in size. While the structural and crystalline characteristics of the NPs remained consistent, the presence of bioactive compounds was confirmed in the UD-ZnO-NPs. Hemolytic assays indicated dose-dependent cytotoxicity, highlighting the importance of concentration in biomedical applications.

Background: Identifying reliable biomarkers for early detection, risk stratification, and prognosis of CVD in the context of CKD is, therefore, of critical importance. Cystatin C has emerged as a potential biomarker capable of reflecting both cardiac injury and renal impairment, particularly in patients with arterial hypertension. This study aimed to evaluate the association between serum cystatin C levels, left ventricular hypertrophy, and chronic kidney disease in individuals with hypertension. Objective: To assess serum cystatin C concentrations in patients with left ventricular hypertrophy and chronic kidney disease secondary to arterial hypertension. Materials and Methods: A case-control analytical study was conducted, enrolling 44 patients aged 45 years or older with both left ventricular hypertrophy and chronic kidney disease due to arterial hypertension alongside a control group of apparently healthy individuals. Serum cystatin C levels were measured using immunoturbidimetric assay. Statistical analysis was performed using SPSS version 25.0. Group comparisons were made using independent-sample t-tests, while multivariate regression and receiver operating characteristic (ROC) analyses were employed to explore associations and the predictive value of cystatin C. Results: The mean serum cystatin C concentration in the case group was 1.6±0.1 mg/L, significantly higher than in the control group (0.88±0.03 mg/L, p<0.05). Similarly, the estimated glomerular filtration rate (eGFR) was markedly reduced in the case group (44.88±6.8 mL/min/1.73 m²) compared to the controls (92.88±3.4 mL/ min/1.73 m², p<0.05). In the case group, a statistically significant inverse correlation was observed between serum cystatin C levels and glomerular filtration rate (GFR), with a regression coefficient of β=−0.028 (p<0.006). Conclusion The elevated serum cystatin C levels (1.6±0.1 mg/L) and decreased eGFR (38.99±12.7 mL/min/1.73 m²) observed in the case group suggest that cystatin C may serve as a potential biomarker for the early diagnosis of left ventricular hypertrophy due to arterial hypertension and chronic kidney disease, as well as for predicting related complications.

Background: Regularly participate international High-level in sports athletes national and competitions and engage in intense training, developing endurance and resilience. Measuring blood lactate levels is crucial for improving an athlete’s performance, assessing sports performance, and enhancing the effectiveness of future training. Aim: To study the relationship between lactate levels in the blood plasma and lactate dehydrogenase enzyme activity in Mongolian National Team athletes. Materials and Methods: The study involved 51 athletes from the Mongolian National Team. Anaerobic capacity was assessed using a Monark 894E Ergomedic Peak Bike, designed to apply exercise load. Blood serum lactate level and lactate dehydrogenase enzyme activity were determined using a Biobase BK-280 fully automated biochemical analyzer. Heart rate, peripheral blood oxygen levels, and oxygen saturation were measured using a pulse oximeter. Results: The average age of the participants was 24.04 ± 4.15 years, with an average height of 168 ± 8.78 cm and an average weight of 71.01 ± 7.69 kg. The average BMI was 24.82 ± 4.12 kg/m². Pre exercise lactate levels averaged 3.84 ± 0.75 mmol/L, while post-exercise lactate levels averaged 9.67±3.52 mmol/L. The average heart rate before exercise was 66.04±8.9 bpm, while post-exercise heart rate was 123.6±16.06 bpm. The average VO₂ max was 95.18±2.48. Conclusion The lactate levels before and after exercise among the athletes participating in the study showed significant differences in the age groups 20-29 (p<0.0001). When comparing lactate levels before and after exercise by sport, statistically significant increases were observed in freestyle wrestling and judo athletes (p<0.0001)

Introduction: The worldwide prevalence of obesity and its metabolic complications have increased substantially in recent decades. According to the World Health Organization (WHO) indicate that in 2016, over 1.9 billion adults were overweight and, of these, over 650 million were obese. Obesity is a major risk factor for heart disease, type 2 diabetes, steatotic liver, chronic liver disease, stroke, and some cancers. The global prevalence of obesity and its associated comorbidities continue to increase on a pandemic scale. Aim: To determine metabolic changes in overweight and obese adults and their related diseases based on some parameters of anthropometric and laboratory tests. Materials and Methods: This study was conducted with a case-control design in 2023–2024. There were 150 participants in the study, 50 in the control group with normal weight, 50 in the overweight (BMI<29.9kg/m2) case group, and 50 in the obesity (BMI>30kg/m²) case group. Subjects of three groups were matched by age (±1) and sex. We estimated anthropometric parameters and biochemical laboratory analysis including glucose, lipid, ferrum, and liver parameters. CBC All statistical analysis was performed using SPSS 23 software. Categorical variables were described by numbers and percentages, and the numerical variables were characterized by the median (min and max) for the normal distribution, and mean± standard deviation for the non-normal distribution. The statistical tests utilized were the Chi-square, Fisher’s exact, student t-test, and Mann–Whitney tests. Ethical approval for the survey was obtained from the Medical Ethics Committee under the Ministry of Health Of Mongolia in January 2023. Results: The participants' average age was 46.73±11.45, with 60% being women (90) and 40% being men (60). The prevalence of central obesity and fat % were 52.3% and 37.2%, respectively. Between study groups, there were significant differences in fat% (p=0.004), central obesity (p<0.001), FBG (p=0.024), cholesterin (p=0.017), LDL (p=0.018), HDL (p=0.003), ferrum (p=0.010), АЛАТ (p=0.020), and GGT (p<0.001). Conclusion In overweight and obesity groups, the body fat, fasting blood glucose, cholesterol, LDL, and ALT levels are increased. These changes often lead to conditions like type 2 diabetes, arterial hypertension, steatotic liver disease, and liver fibrosis. Therefore, it is important to develop plans for prevention, early detection, public awareness, and intervention programs targeting obesity in the general population.