1.Comparative study of subcutaneous fat area and visceral fat area among healthy and metabolic syndrome patients
Munkh-Erdene U ; Odmaa T ; Solongo Ts ; Ganchimeg S ; Egshiglen G ; Anir B ; Ariunaa A ; Navchaa G ; Tulgaa S ; Munkhtsetseg J
Mongolian Journal of Health Sciences 2025;86(2):36-41
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.
2.Evaluation of changes in human salivary amylase enzyme activity
Sarangerel G ; Odmaa T ; Buyankhuu T ; Oyun-Erdene P ; Odgerel Ch ; Tulgaa S ; Otgonjargal Ch ; Munkhtsetseg J ; Nandin-Erdene M
Diagnosis 2025;114(3):104-111
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.
3.To synthesise dual-action nanoparticles (nps) by integrating zno with the extract of urtica dioica l. And to characterise
Odmaa T ; Buyankhuu T ; Oyun-Erdene R ; Odgerel Ch ; Tulgaa S ; Otgonjargal Ch ; Munkhtsetseg J ; Nandin-Erdene M
Diagnosis 2025;113(2):45-52
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.
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