Background: Basketball involves repeated high-intensity, explosive movements that depend largely on anaerobic energy systems. Accordingly, anaerobic capacity and body-composition parameters such as skeletal muscle mass and fat distribution are key determinants of performance. However, data-driven studies integrating conditioning training, anaerobic performance, and body composition in Mongolian professional players are limited, and the application of machine-learning approaches in this context remains underexplored. Aim: To examine the relationships between conditioning training, anaerobic capacity, and body composition in professional basketball players and to develop a machine-learning model for injury-risk prediction. Materials and Methods: Eleven healthy professional male basketball players (21–28 years) from the Omni Erdenet Miners were evaluated. Body composition was measured using the InBody 970, and anaerobic performance was assessed by a 30-s Wingate test on a Monark 894E ergometer. Measurements were obtained at three time points. Changes were analyzed using Friedman and Wilcoxon tests, while associations were examined by Pearson correlation and multivariate regression. Injury-risk models were developed using Random Forest and regression-based machine-learning methods. Research Ethics Committee, approval number 24-25/04-01 Result: Phase angle increased from 6.8±0.5 to 7.3±0.6° (p =0.021), and body-fat percentage decreased from 20.5±3.2% to 16.2±2.0% (p =0.015), with no change in skeletal muscle mass. Visceral fat decreased and anaerobic peak and mean power improved (p <0.05). Fat percentage was negatively correlated with anaerobic performance. Heart-rate recovery improved, indicating enhanced exercise tolerance. Random Forest identified phase angle, visceral fat, fat percentage, and fatigue index as the strongest predictors of injury risk. Conclusion 1. The body composition of professional basketball players was closely associated with anaerobic performance and recovery indices, with higher body fat percentage and central adiposity tending to be linked to reduced anaerobic capacity. 2. Reducing fat mass while preserving muscle mass did not adversely affect anaerobic performance and demonstrated potential improvements in performance efficiency, load tolerance, and recovery regulation. 3. A Random Forest Regression model based on body composition and anaerobic capacity indicators demonstrated a high level of accuracy in predicting performance decline and injury risk.

Background: Aetiological mechanisms of demyelinating diseases underlie a very heterogeneous clinical course, ranging from relapsing to progressive, with a longer disease duration leading to physical and cognitive disability. Aim: To identify factors in the development of long-term disability in demyelinating diseases. Materials and Methods: A cross-sectional study was conducted among 64 patients with multiple sclerosis and 33 patients with NMO treated at the Third State Central Hospital. We assessed demographic and clinical data, including the Expanded Disability Status Scale (EDSS). Statistical analysis included descriptive statistics, t-tests, chi-square tests, analysis of variance, correlation, and regression. Result: In MS, relapses (≥1) within 1.0 years of MS onset (OR=5.5, 95% CI 1.11-26.69, p=0.037), optic neuritis (OR=4.3, 95% CI 1.02-21.67, p=0.014), relapse frequency (≥3) (OR=6.6, 95% CI 1.39-31.3, p=0.018), myelitis frequency (≥2) (OR=5.5, 95% CI 1.42-21.67, p=0.014), in NMOSD, time from disease onset to diagnosis (≥3 month) (OR=7.9, 95% CI 1.04-60.7, p=0.046), years of diagnosis (≥3 years) (OR=6.3, 95% CI 1.15-34.12, p=0.034) contributed to disabilty worsening outcomes. Conclusion Disability in demyelinating diseases is affected by many factors.

Background: Multiple sclerosis (MS) is an autoimmune inflammatory neurodegenerative disease of the central nervous system and a major cause of disability in young adults. MRI is essential for diagnosis and monitoring, while early evaluation of structural brain changes is important. Aim: To evaluate brain volumetric changes using automated MRI analysis in patients with MS. Materials and Methods: This case–control study included 50 MS case patients and 50 controls patients examined between 2020–2023 at the Third State Hospital. T1-MPRAGE images were analyzed using volBrain automated segmentation software. Result: The mean age of MS patients was 45.5±11.8 years. Compared with healthy controls, the MS group showed significantly lower total grey matter volume (p=0.002), cortical grey matter volume (p<0.001), subcortical grey matter volume (p=0.006), and cerebral volume (p=0.02). Significant volume reductions were also observed in the temporal (p=0.006) and occipital (p<0.001) lobes. Deep grey matter structures, including the thalamus (p=0.001), caudate nucleus (p=0.009), putamen (p=0.008), and nucleus accumbens (p<0.001), also showed significantly reduced volumes. Disease duration was negatively correlated with total grey matter volume (r=−0.30, p=0.02), thalamic volume (r=−0.28, p=0.04), and occipital lobe volume (r=−0.43, p=0.002). Disease duration was also significantly associated with spinal cord involvement (p=0.01) and grey matter volume (p=0.04). The number of relapses was negatively correlated with total brain volume (r=−0.28, p=0.046). Conclusion Patients with MS demonstrated decreased grey matter volume, particularly within deep grey matter structures, along with increased abnormal white matter volume, suggesting the coexistence of neurodegeneration and demyelination in MS. Brain volume loss in MS appeared to occur independently of aging. Automated quantitative MRI analysis may provide important diagnostic value in detecting structural brain changes associated with MS.

Background: Globally, research on identifying bioactive compounds from medicinal plants and characterizing their in vitro and in vivo pharmacological activities is progressing rapidly. Plants native to Mongolia have adapted to unique, extreme continental climatic conditions, accumulating distinct phytochemicals, and have historically been utilized in traditional medicine and dietary practices. Establishing the non-cytotoxic safety threshold of these wild and cultivated plant extracts in RBL-2H3 mast cells a universally accepted model for type I hypersensitivity and inflammation is a vital prerequisite. Determining these baseline non-toxic dose ranges provides the essential scientific foundation for subsequent cellular allergy models, animal studies, and the elucidation of molecular mechanisms underlying their therapeutic efficacy. Aim: To determine the cytotoxicity profile and establish the non-cytotoxic dose ranges of extracts from four selected Mongolian plant species (wild and cultivated) in RBL-2H3 cells. Materials and Methods: Plant samples including lingonberry (Vaccinium vitis-idaea), strawberry (Fragaria orientalis), black radish (Raphanus sativus), and blue-berried honeysuckle (Lonicera caerulea L.) were standardly collected, authenticated, and cataloged as herbarium specimens at the Botanic Garden and Research Institute, Mongolian Academy of Sciences. A total of 12 distinct extracts were prepared from plant leaves, stems, and fruits using water and ethanol extraction, followed by concentration via rotary evaporation and freeze-drying. Rat basophilic leukemia (RBL-2H3) cells were maintained in EMEM growth medium and utilized during the exponential growth phase. Cell viability and non-cytotoxic concentration thresholds were evaluated using the MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] assay. Result: Ethanolic extracts of strawberry leaves, black radish, and honeysuckle leaves (≥6.25 µg/mL), as well as aqueous extracts of honeysuckle fruits (≥6.25 µg/mL) and stems (≥25 µg/mL), exhibited dose-dependent cytotoxicity. Conversely, aqueous extracts of lingonberry leaves (≤200 µg/mL), strawberry leaves (≥100 µg/mL), and black radish (≤200 µg/mL), alongside ethanolic extracts of lingonberry leaves (≥50 µg/mL), demonstrated non-cytotoxic profiles. Furthermore, ethanolic extracts of honeysuckle stems (≤300 µg/mL) and fruits (≥12.5 µg/mL), as well as the aqueous extract of honeysuckle leaves (≤50 µg/mL), significantly enhanced RBL-2H3 cell viability. Conclusion The tested plant extracts influenced RBL-2H3 cell viability in a solvent polarity and plant organ dependent manner. Ethanolic extracts of strawberry leaves, black radish, and honeysuckle leaves, along with aqueous extracts of honeysuckle fruits and stems, demonstrated relatively high cytotoxicity, reducing cell viability by >40% starting at concentrations of 12.5, 25, and 50 µg/mL. In contrast, aqueous extracts of strawberry leaves and black radish, as well as both aqueous and ethanolic extracts of lingonberry leaves, maintained low cytotoxicity at concentrations below 200 µg/mL. Notably, ethanolic extracts of honeysuckle stems and fruits (>12.5 µg/mL) and its aqueous leaf extract (<100 µg/mL) enhanced cell viability, exhibiting significant cell proliferation promoting activity.

Background: Vancomycin is a glycopeptide antibiotic widely used to treat infections caused by gram-positive bacteria, especially methicillin-resistant Staphylococcus aureus (MRSA). Despite its effectiveness, vancomycin is known to be nephrotoxic, particularly when administered in high doses, for prolonged durations, or in combination with other nephrotoxic agents. This study aims to investigate the incidence and influencing factors of vancomycin associated renal impairment among hospitalized patients in Mongolia. Methods: A retrospective document review was conducted among 120 hospitalized patients who received vancomycin at the First State Central Hospital in 2023. Data on vancomycin dosage, treatment duration, clinical diagnoses, and biochemical parameters were analyzed. Renal function was assessed using the Cockcroft-Gault equation and categorized into five stages. Statistical analysis was performed using chi-square tests and logistic regression with a significance level set at p<0.05. Results: The mean age was 52.3 years, and the average BMI was 26.7. Among participants, 41.5% showed varying degrees of renal impairment. Vancomycin daily dose was significantly associated with the stage of renal impairment (p=0.040), while total dose and treatment duration were not. Co-administration with cefotaxime and metronidazole showed statistically significant changes in creatinine and urea levels, suggesting potential additive nephrotoxicity. Conclusion The findings indicate a substantial rate of renal function decline among vancomycin-treated patients. Higher daily doses and concurrent use of nephrotoxic antibiotics may increase the risk. Regular renal monitoring and dose adjustments are essential to minimize adverse renal outcomes.

Background: Meniere's disease is a condition caused by disturbances in the auditory and vestibular systems. It is characterized by symptoms such as dizziness, nausea, vomiting, and tinnitus. In the United States, the prevalence of Meniere's disease has been found to be 84 cases per 100,000 women and 56 cases per 100,000 men. Regionally, it is more common in less populated areas, and research has confirmed that the prevalence increases with higher household income. Aim: To evaluate the effectiveness of traditional medicine treatments and therapies for Meniere's disease. Results: The patient is a 43-year-old male, with symptoms of dizziness, vomiting, and tinnitus. Since 2023, he has sought care at the Central Hospital of Mongolian Medicine, where he received traditional medicine treatments including herbal therapy and other traditional therapies on three occasions. As a result, the frequency of dizziness has decreased and other clinical symptoms have improved. Conclusion Traditional medicine treatments have been shown to be effective in managing Meniere's disease by extending the interval between relapses, improving quality of life, and significantly reducing clinical symptoms.

Climate change and child malnutrition Introductions: Globally, one billion children are living in areas at high risk of climate change exposure. Among them, over 200 million children under the age of five suffer from severe malnutrition, and 148 million experience growth and developmental stunting. Climate change affects key determinants of child health such as the nutritional value of food, environmental conditions, and living standards. Mongolia is classified among countries with a high climate vulnerability index. Therefore, it is essential to study the impact of climate change on children's health in the Mongolian context. We aimed at determining the prevalence and trends of nutritional deficiencies among children under five years of age and to assess the impact of climate change on these deficiencies. Materials and methods: This study was conducted using international databases. Climate change was evaluated using indicators such as the Climate Change Index, average annual land surface temperature, air quality, soil contamination, and precipitation levels. Data on child nutrition were collected from the Institute for Health Metrics and Evaluation (IHME) database and the Mongolian National Statistical Information Service for the period 2000–2019. Nutritional deficiencies were measured using indicators including wasting and overweight among children under five. Trends in the prevalence of nutritional deficiencies were analyzed using the AR(I)MA model to forecast changes between 2020 and 2030. Regional variations were assessed using panel regression models, and the impact of regional climate variables on child nutrition was estimated. Results: The climate vulnerability index in Mongolia has been increasing, with trends indicating further rises in temperature variability. From 2000 to 2019, the prevalence of wasting and stunting among children under five showed a decreasing trend, with annual reductions projected at 0.5% and 1.8%, respectively. In contrast, overweight and obesity among children under five are projected to increase until 2030, with Ulaanbaatar showing statistically significant high values. A correlation was found between climate change indicators and childhood overweight. Conclusions: There is a rising trend in overweight and obesity among young children. Climate change has both direct and indirect impacts on child nutrition, food safety, and nutritional deficiencies. These associations must be taken into serious consideration in public health planning and policy.

Introduction: Endometritis (EMM) is the most common maternal infectious complication of childbirth, occurring more commonly after low transverse cesarean section (LTCS) than vaginal delivery [1]. In a Cochrane review, the mean incidence of EMM following elective cesarean section was 7% and after non-elective or emergency operations was 30% [4]. A variety of independent risk factors for post-cesarean EMM have been identified in previous studies, including no prior cesarean section [5], low infant Apgar scores [6], trial of labor [7], premature rupture of membranes (PROM) >24 hours, young maternal age [8], preterm or post-term gestation [9], antepartum infections [10], pre-eclampsia, meconium [11], amnion infusion, postpartum anemia, multiple vaginal examinations [12], and manual removal of the placenta [13]. The time of ruptured membranes before delivery is examined via dichotomized time thresholds, the risks of chorioamnionitis and endomyometritis are significantly increased at 12 hours and 16 hours, respectively [16, 17]. A change in policy to administer prophylactic antibiotics before skin incision led to a significant decline in postcesarean delivery surgical-site infections [18, 19]. Objective: To determine independent risk factors for EMM following (LTCS). Material and Method: The study was case-control study, between 2022 to 2023 years at the “Urguu” specialized maternal hospital Ulaanbaatar, Mongolia. Case group has 101 women with EMM and the control group has 100 women with non EMM after LTCS. Results: The age of 2 study groups was 32.4 and 32.8, body mass index was 30 kg/m2 and 30.7 kg/ m2.Young maternal age <25 has a 22% (p=0.001, OR=4.5) influence on the occurrence of EMM. Other pregnancy related factors were not associated with the EMM after LTCS. (p>0.05). Delivery risk factors has increases the EMM by 15% (p=0.002), labor induction by 20% (p=0.001), duration of labor >12 hours by 40% (p=0.001), PROM increased by 15% (p=0.005), meconium by 15% (p=0.005), chorioamnionitis by 15% (p=0.001). Conclusion Our study, young maternal age <25 has influence on the occurrence of EMM. Other pregnancy related factors were not associated with the EMM after LTCS. Delivery associated risk factors are affected by the EMM after LTCS. The labor after LTCS, labor induction, PROM >12 hours, duration of labor, number of vaginal exams>4, meconium, chorioamnionitis increased by EMM. Young maternal age (<25) increased the risk of EMM attached with labor association risk factors.

Introduction: Air pollution has become one of the major problems in socio-economic and health issues in Mongolia. Among the various hazards of particulate matter (PM) pollutants, microorganisms in PM2.5 and PM10 are thought to be responsible for various allergies and for the spread of respiratory diseases. Recent studies have shown that PM2.5 particles can cause chronic heart failure, heart arrhythmias, and strokes, as well as lung damage, cirrhosis, inflammation, cancer, cardiovascular disease, and metabolic disorders. Furthermore, some studies have concluded that PM2.5 particles in the environment are a risk factor for gastrointestinal, liver, colon, and lung cancer as well as it affects the growth and metastasis of various cancer cells caused by other factors. In our country, the health effects of air pollution and the relationship between the pathogenesis of cancer research are scarce. Therefore, the study of the effects of PM2.5 particles on cancer cell proliferation, migration (metastasis) can provide a significant role for cancer treatment, diagnosis, and prevention. Purpose: Determining the effects of PM2.5 particles on cancer cell proliferation, migration (metastasis) in in-vitro Material and Methods: A human liver cancer cell line (HepG2), human gastric cancer cell line (AGS) were obtained from the central scientific research laboratory in the Institute of medical sciences. HepG2, AGS cells were seeded at a concentration of 1*105 cells/mL in a culture flask and cultured in RPMI-1640 medium supplemented with 10% FBS, 1% antibiotic mix (penicillin, streptomycin) in a humidified atmosphere of 5% CO2 at 37 °C. The cytotoxic effect of PM 2.5 in AGS, HepG2 cells were evaluated by MTT, CCK8 assays. AGS, HepG2 cells were incubated in 96 well plates for 24h then treated with different concentrations (0, 5, 10, 25, 50 and 100 μg ) of Bayankhoshuu, Buhiin urguu, and Zaisan samples for 24h, respectively. Results: Concentrations of 10, 25, and 50 μg/ml of samples collected from the Bukhiin urguu and Zaisan in March increased HepG2 cell growth, while doses of 25, 50 μg/ml of samples collected from Bayankhoshuu in March and December increased HepG2 cell growth. Therefore, concentrations of 25 and 50 μg/ml of samples collected from Bayankhoshuu in March increased AGS cell growth, while concentrations of 25, 100 and μg/ml of samples collected in December increased AGS cell growth. However, no cytotoxic effect was observed in the sample collected from Zaisan in March, whereas the PM2.5 sample enhanced AGS cell growth in dose dependent manner in December.(p <0.05) Conclusion High levels of heavy metals were detected in samples collected in December from Bayankhoshuu, Bukhiin urguu and Zaisan of Ulaanbaatar. Concentration of 25 μg/ml of samples collected from the Bukhiin urguu and Zaisan in March increased HepG2 cell growth. Concentrations of 25 μg/ml of PM2.5 collected from three regions around Ulaanbaatar increased HepG2 and AGS cell migration.

Research of function of vitamin D on immune system has been studying since the study revealed that vitamin D receptor is expressed on the surface of the immune cells. 1,2-dihydroxyvitamin D3 [1,25(OH)2D], physiologically active form, can be generated through hydroxylation of 25-hydroxyvitamin D3 [25(OH)D], inactive form of vitamin D, in a liver, connecting with specific VDR make biological action. Vitamin D make different biological actions depends on connecting with different immunological cells. Some studies indicated that Vitamin D plays pivotal role in antibacterial innate immune responses through regulating reaction of the main cells as macrophages and dendritic cells. Moreover, calcitriol, the active form of vitamin D, is connected with VDRE, modulates the innate immune response through directly inducing expression of catelicithin and β-defensin as antimicrobial peptides, reducing secretion of IL-1b, IL-6, TNF-a, RANKL, COX-2 as proinflammatory cytokines and increasing production of IL-10, an anti-inflammatory cytokine. Vitamin D plays in proliferation and differentiation of T and B cells and regulates the activities of over 500 genes. Vitamin D differently impacts on per se stages of T cells’ proliferation. Vitamin D indirectly mitigates the differentiation from immature B cells to plasma B cells while it directly impacts on regulation of overloaded production of antibodies in plasma B cells. In conclusion, vitamin D modulates the innate- and adaptive immune response through regulation on activation of APCells, proliferation and differentiation of immune cells, secretion of some antibacterial peptides.