Munkhtsetseg Janlav

Dr. Munkhtsetseg Janlav

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 September 2020 in Medical Sciences
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ACAriunbold Chuluun-Erdene
Ariunbold Chuluun-Erdene
OSOrgil Sengeragchaa
Orgil Sengeragchaa
TATsend-Ayush Altangerel
Tsend-Ayush Altangerel
PSPurevjal Sanjmyatav
Purevjal Sanjmyatav
BDBatnaran Dagdan
Batnaran Dagdan
MJMunkhtsetseg Janlav
Munkhtsetseg Janlav
Metabolic syndrome (MetS) is complex and determined by the interaction between genetic and environmental factors and their influence on obesity, insulin resistance, and related traits associated with diabetes and cardiovascular disease risk. Some dynamic markers, including adiponectin (ADIPOQ), brain-derived neurotrophic factor (BDNF), and lipoprotein lipase (LPL), are implicated in MetS; however, the influence of their genetic variants on MetS susceptibility varies in racial and ethnic groups. We investigated the association of single nucleotide polymorphism (SNP)-SNP interactions among nine SNPs in six genes with MetS’s genetic predisposition in Mongolian subjects. A total of 160 patients with MetS for the case group and 144 healthy individuals for the control group were selected to participate in this study. Regression analysis of individual SNPs showed that the ADIPOQ + 45GG (odds ratio (OR) = 2.09, p = 0.011) and P+P+ of LPL PvuII (OR = 2.10, p = 0.038) carriers had an increased risk of MetS. Conversely, G allele of LPL S447X (OR = 0.45, p = 0.036) and PGC-1α 482Ser (OR = 0.26, p = 0.001) allele were estimated as protective factors, respectively. Moreover, a haplotype containing the G-P+-G combination was related to MetS. Significant loci were also related to body mass index (BMI), systolic blood pressure (SBP), serum high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and fasting blood glucose (FBG), adipokines, and insulin as well as insulin resistance (p < 0.05). Our results confirm that ADIPOQ + 45T > G, LPL PvII, and PGC-1α Gly482Ser loci are associated with MetS in Mongolian subjects.

21 December 2018 in Medical Sciences
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BDBatnaran Dagdan
Batnaran Dagdan
ACAriunbold Chuluun-Erdene
Ariunbold Chuluun-Erdene
OSOrgil Sengeragchaa
Orgil Sengeragchaa
MMMunkhzol Malchinkhuu
Munkhzol Malchinkhuu
MJMunkhtsetseg Janlav
Munkhtsetseg Janlav
Metabolic syndrome (MetS) corresponds with multiple risk factors. Many studies have indicated that MetS significantly increases the risk of cardiovascular diseases and type 2 diabetes (T2D). The prevalence of MetS was estimated to be one third of the general Mongolian population in 2015. The purpose of our study was to determine polymorphisms of the LEP (Leptin) and LEPR (Leptin receptor) genes that show susceptibility to MetS and to predict the genetic risk of MetS. We selected 160 cases with MetS and 144 with healthy controls. The G2548A polymorphism of the LEP gene and the A668G (Q223R) polymorphism of the LEPR gene were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The results of the regression analysis showed that the 2548 amino acids (AA) of LEP gene carriers had increased incidences of MetS (OR = 3.23; p = 0.035). Patients with MetS who were 2548A allele carriers had an increased concentration of serum leptin (p = 0.011). Moreover, G2548A of LEP polymorphism was associated with elevated body mass index (BMI) and fasting blood glucose (FBG) in the case group. Our results confirm that the LEP G2548A loci is the independent risk factor of MetS.

1 January 2013 in The World Journal of Men's Health
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NNNansalmaa Naidan
Nansalmaa Naidan
OROyun-Erdene Rivaad
Oyun-Erdene Rivaad
NMNamsrai Muukhai
Namsrai Muukhai
MJMunkhtsetseg Janlav
Munkhtsetseg Janlav
Naidan N, et al. World J Mens Health. 2013 Aug;31(2):170-175. http://dx.doi.org/10.5534/wjmh.2013.31.2.170

13 August 2024 in Food Science & Nutrition
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Odgerel ChinbatOdgerel Chinbat
Odgerel Chinbat
PEPurevdulam Erdenetsog
Purevdulam Erdenetsog
BTBuyankhuu Tuvshintur
Buyankhuu Tuvshintur
AGAnuujin Gantumur
Anuujin Gantumur
MBMunkhjargal Burenjargal
Munkhjargal Burenjargal
MJMunkhtsetseg Janlav
Munkhtsetseg Janlav
Xylooligosaccharides (XOS) are prebiotics of significant biological value that can be obtained through cost‐effective purification of agricultural waste. The present research featured in vitro and in vivo investigation of prebiotic effects of xylooligosaccharides derived from wheat bran powder and brewer's spent grain. Prebiotic activity of Lactobacillus. fermentum, Lactobacillus. casei, and Bifidobacterium spp. was investigated in vitro using standard selective media. 16S rRNA quantitative PCR used for in vitro and in vivo investigation quantified relative abundance of Bifidobacterium spp., Lactobacillus spp., and Akkermansia. muciniphila in samples of fecal matter, cecal content, and intestinal tissue. Research revealed a favorable association between XOS concentration and both bacterial count and diameter of resultant colonies. The standard strain of L. casei showed no noticeable effect on growth rate. Bifidobacterium spp. proliferation in intestinal tissue was validated via in vivo tests using XOS obtained from wheat bran powder and brewer's spent grain. Findings indicated increased prevalence of the A. muciniphila species and the presence of XOS showed a protective function in preserving the structural integrity of intestinal mucus secretions. The presence of XOS in food indicated direct association with proliferation of Bifidobacterium spp. and A. muciniphila spp. Study results suggest that XOS extracted through enzymatic hydrolysis in Mongolian food industry by‐products such as wheat bran products and brewer's spent grain exhibit prebiotic properties that justify XOS manufacture on a large scale and incorporation of XOS as nutritional enhancement in food products and pharmaceuticals.

20 July 2018 in Medical Sciences
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UTUrjindelger Tserensambuu
Urjindelger Tserensambuu
ACAriunbold Chuluun-Erdene
Ariunbold Chuluun-Erdene
MJMunkhtsetseg Janlav
Munkhtsetseg Janlav
ETErkhembaatar Tudevdorj
Erkhembaatar Tudevdorj
Preeclampsia (PE) is a major cause of maternal and perinatal morbidity and mortality, particularly in developing countries. In Mongolia, preeclampsia and eclampsia have occurred among pregnancy complications at a rate of 25% in recent years. Recent studies in the literature have screened for preeclampsia by combining maternal factors with biomarkers. This study was conducted using prospective cohort research including 393 singleton pregnancies at 11–13+6 weeks. Maternal plasmas pregnancy-associated plasma protein-A (PAPP-A) and maternal serum placental growth factor (PlGF) were measured using Perkin Elmer time-resolved fluoroimmunoassay (DELFIA) kits, and the measurement of mean arterial pressure (MAP) was performed by automated devices and the uterine artery pulsatility index was measured by Doppler ultrasound. In the study population, there were 16.7% showing complicated preeclampsia. The receiver-operating characteristics (ROC) curve analysis showed a sensitivity of 71.21%, and a specificity of 75.54% when the mean arterial pressure cut-off was 89.5 mm; while a sensitivity of 33.36% and specificity of 77.68% were observed when the uterine artery mean pulsatility index (mPI) cut-off was 2.34; a sensitivity of 79.66% and specificity of 44.04% were observed when the PAPP-A cut-off was 529.1 mU/L; and a sensitivity of 74.58% and specificity of 46.6% were observed when the PlGF cut-off was 39.87 pg/mL. The detection rates following the combination of markers with the maternal history were as follows: 62.7% with mean arterial pressure, 69.5–82.9% with two markers 86.5% with three markers and 91.4% with four markers. In conclusion, the mean arterial pressure was highly sensitive and demonstrated its easy usage and cost-effectiveness as a predictive marker for the early screening of preeclampsia from other biomarkers.

26 December 2025 in Central Asian Journal of Medical Sciences
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NMNansalmaa Munkhtur
Nansalmaa Munkhtur
EAEnkhdulguun Amgalan
Enkhdulguun Amgalan
MJMiyegombo Jargalsaikhan
Miyegombo Jargalsaikhan
ENErdenechamba Natsagdorj
Erdenechamba Natsagdorj
NDNaransukh Damiran
Naransukh Damiran
EEErdenechimeg Erdenebayar
Erdenechimeg Erdenebayar
Objective: Prolonged occupational vibration exposure can cause neurological, musculoskeletal, and connective tissue disorders. Establishing a national baseline in Mongolia is essential to determine the prevalence of vibration-related occupational diseases and to guide evidence-based policy interventions. To establish baseline evidence on the point prevalence and characteristics of vibration-related occupational diseases among individuals diagnosed with work-related disabilities in Mongolia. Methods: A descriptive desk review was conducted using data from 10,219 registered occupational disease cases between 1975 and 2022. Vibration-related cases (ICD codes: G54, G54.1, T75, T75.2, M21) were identified in two stages. A total of 952 cases were analyzed using STATA 12.0. Results: Of the 10,219 cases, 952 (9.3%) were vibration-related, including 895 (94.1%) whole-body vibration (WBV) and 57 (5.9%) hand-arm vibration (HAV) cases. The mean age at loss of work ability due to vibration-related disease was 43.38 ± 6.32 years, with an average exposure duration of 17.62 ± 5.63 years. The mining sector showed the highest prevalence, at 224.86 cases per 100,000 working-age population. Among WBV-related diseases, nerve root and plexus disorders (G54) were most common (38.26 per 100,000), while acquired limb deformities (M21) predominated in HAV cases (1.98 per 100,000). Conclusion: Vibration-induced occupational diseases mainly affect the mining sector. The frequent neurological and musculoskeletal disorders highlight the need for accurate differential diagnosis to ensure effective prevention and management.