Background Cancer remains one of the leading causes of death worldwide, with 19.3 million new cases recorded in 2020 and an estimated 28.4 million by 2040. In Mongolia, it ranks second after cardiovascular diseases in terms of mortality. Receiving a cancer diagnosis significantly impacts not only the physical condition of patients but also their psychological and social well-being. Studies indicate that 35–50% of cancer patients experience symptoms of depression, anxiety, and post-traumatic stress. This study aims to determine the stress levels of cancer patients and investigate the relationships between the factors that influence these levels. The Self-Report Questionnaire (SRQ-20), developed by the WHO for primary healthcare physicians, was officially approved and used in this study. In terms of gender distribution, the majority were female (69.8%), while males accounted for 30.2%.
According to the study, in stage I of cancer, 9.5% of patients experienced high stress, 14.3% had moderate stress, and 7.9% reported no stress. In stage II, 9.5% had high stress, 22.2% had moderate stress, and 11.1% had no stress. In stage III, 6.3% experienced high stress, 9.5% had moderate stress, and 3.2% reported no stress. In stage IV, 4.8% experienced high stress, and 1.6% had moderate stress; no patients in this stage reported being stress free.
The highest percentages of moderate stress were observed in stages I and II (14.3% and 22.2%, respectively), possibly due to the strong emotional reaction at the time of initial diagnosis. In contrast, all stress levels declined sharply in stages III and IV, with 6.3% experiencing high stress, 9.5% moderate stress, and 3.2% no stress in stage III. In stage IV, 4.8% had high stress and 1.6% moderate stress, while no patients reported being stress-free.

Probiotics are considered safe for all ages and anyone with a healthy functioning immune system. During antibiotic treatment, the normal intestinal microflora is destroyed and the normal balance is lost. This article reviews clinical trials of the probiotic Saccharomyces boulardii. The yeast Saccharomyces boulardii CNCM I-745 is a unique, non-bacterial microorganism classified as a probiotic agent. The mechanism of action of probiotics is to attach to intestinal pathogens and their toxins and destroy them; It also destroys the toxic extracellular degradation products of pathogens and regenerates the intestinal mucosa by having an anti-inflammatory effect.

Background: Spinal Muscular Atrophy (SMA), an autosomal recessive disorder characterized by lower motor neuron loss, leads to progressive muscle weakness and atrophy. With a neonatal incidence ranging from 1:6000 to 1:11000, individuals affected by SMA face challenges in locomotor function. The advent of newborn screening tests, early diagnostic techniques, and the introduction of gene therapy have, however, shown promise in enabling the acquisition of these motor skills. Objective: This review article seeks to shed a light on current understandings of the epidemiology, clinical presentations, diagnostic methods, and treatments for spinal muscular atrophy, highlighting cutting edge approaches within the discipline. Methods: A thorough search was conducted on PubMed, Cochrane, National Institutes of Health, and Web of Science databases for recent research articles concerning SMA’s incidence, prevalence, clinical manifestations, early detection, genetic testing and contemporary gene therapy. Results: The prevalence of SMA stands at 1-2 cases per 100,000 population, with an incidence of approximately 8 cases per 100,000 live births. Pre-1995 studies exhibited varying prevalence rates due to using non molecular-biological methods, small localized populations, diagnostic errors, and regional characteristics. Diagnosis involving Multiplex ligation-dependent probe amplification (MLPA), quantitative polymerase chain reaction (qPCR), or next-generation sequencing (NGS) analysis to confirm SMN1 and SMN2 gene status aids in identifying carriers and SMA subtypes. Countries implementing newborn screening programs have demonstrated early SMA detection in asymptomatic newborns, contributing to reduced mortality and disability rates. Currently, several types of gene therapy are being used in the treatment of SMA. Conclusion The epidemiology of SMA varies between countries and regions. It is fully possible to confirm the disease, identify carriers and subtypes. The inclusion of SMA in newborn early detection programs is crucial for reducing infant mortality and disability, and several gene therapies have received approval from relevant authorities for SMA treatment. In Mongolia, it is possible to introduce tests to confirm the disease and determine carriers and subtypes.

Background: During the historical development of traditional medicine, many books and manuscripts have been written in Mongolian medicine. The main textbook of traditional medicine states that: “The size of a bone consists of 23 bone species, 28 spinal joints, 24 ribs, 32 teeth, and 360 pieces of bone.”
However, modern medicine estimates that the human body has 206 bones. Therefore, this topic was chosen to study the source material of traditional medicine, including the structure of the human body, and the number of bones in the modern medical anatomy textbook. Purpose: Details of the number of bones in the human body in the “Four Medical Tantras” (རྒྱུད་བཞི) of traditional medicine and its commentary, as well as compare with the number of bones in the basic textbook of anatomy of modern medicine. Objectives: In order to successfully implement the research objectives, the following objectives will be implemented. These include:
1. Sampling and analyzing number of bones from traditional medicine;
2. Sampling and analyzing bone numbers from modern medical textbooks;
3. Compare the names and numbers of bones in traditional medicine and modern medicine Results: The number, classification and features of human bones were analyzed from the main scriptures of traditional medicine such as “Explanatory Tantra”, of the “Four Medical Tantras” and the “Legs bshad gser gyi thur ma” by Blo-bzang-chos-grags. In addition, the number of bones in the human body was sampled from modern medical textbooks and prepared for comparison. The number and characteristics of bones in the human body were compared by traditional medicine and modern medicine and made a conclusion.
This study reveals that the foundations for the integrated development of traditional medicine were laid long ago in Mongolian medicine. In addition, to highlight the book “Four Medical Tantras”, which is the basis of the textbook on the structure of the human body and the research work of scientists and scholars, which is considered in Mongolian mamba datsan’s contribution to the science of human anatomy. The importance of this research is to change the extremes of Western medicine and traditional medicine and increase opportunities to use its introduction and development into training and clinical practice. Conclusion
1. The main creature of body structure in traditional medicine is the “Four Medical Tantras” which generally assumes that the numbers of bones are 360 but does not specify it in detail. During the research, we identified 357 bone names to identify each bone. The names and locations of the three bones were not clearly marked in the medical sources.
2. The numbers of bones are 206 in modern medical textbooks. We recalculated 151 bones based on traditional medical sources without duplication of that.
3. Compared to traditional medicine and modern medicine, the number of bones and are higher than 154 bone names in traditional medicine because we included the number of teeth, small bones in the ears and small bones in the fingers and toes. Some cartilage was also counted as bones.

Investigation of Klinefelter syndrome among infertility men Background: Klinefelter syndrome (KS) is the most common sex chromosomal anomaly, which is estimated to be 1 in 500-1000 male live births and 2.1-28.4 % among infertility men. Klinefelter syndrome is defined as LD50.30 by International Classification of Diseases 11th Revision. So far, KS syndrome has not investigated among Mongolian infertility men. Materials and methods: We recruited participants who were diagnosed in Center of Infertility, Child and Maternal National Center from October 2017 to October 2019. These participants showed azoospermia and the clinical characteristics of KS. Clinical characteristics of KS were as the anthropometric values, testicle size and also gingival cells were checked by Sanderson method to detect Barr body. Cytogenetically, blood lymphocytes were incubated and evaluated by standard method of G-band using “Metasystem” for karyotyping diagnosis. Results: During the research period, we recruited 1636 male participants with infertility and out of them 145 people were shown the azoospermia and nine people had clinical characteristics of KS. We confirmed the diagnosis of KS in five cases out of these nine patients (3,4%). The mean age of these KS cases was 33.5±4.5. Gynecomastia was presented in 100% (n=5), no underarm hair in 80% (n=4) cases, sparse body hair in 20% (n=1) cases, no facial hair in 100% (n=5) cases, female-like pubertal hair was detected in 80% (n=4) cases. Mean size of testicles was as 4±1.25 ml in left and as 4±0.75 ml in the right. We found that karyotyping pattern of the cases was in 80% 47,ХХУ (n=3) and mosaicism in 20% 48,ХХХУ/47,ХХУ (n=1) and 20% 46,ХХ (n=1), and Barr body was detected in all 100% (n=5) cases. Conclusions: Azoosperm was detected in 8.9% among infertility men in our study. Klinefelter syndrome cases were detected in 3.4% among infertility Mongolian men.

BackgroundIn Mongolia scientists have been doing research about skin disease and process of aging. Howeverthere has not enough study material about skin aging process which is the key indicator of aging andhow that affect to Mongolian people.GoalMain purpose is to study correlations between main index of skin type of the body, cardiovascularsystem, biological age, epidermal growth factor and blood plasma melatonin, within the people of Uvsprovincial center as they are relatively healthy people.Material and MethodsResearch works were done using cross sectional study model in years 2015-2016, within randomlychosen 400 citizens of Ulaangom city, counted to be relatively healthy people. Research model includes41 questionnaires, examination and blood plasma samples.Basic indexes of the body, cardiovascular system and respiratory functions were chosen by biomarkers,biological age is determined by V.P.Voytenko’s 4th version method and adaptive capacity assessment isdetermined by R.M.Baevskii’s multi-repeating regression method.Main skin type parameters such as porosity, wrinkles, pigmentation, elastics and aging is determined bythe “BOOMTECH skin diagnosis” digital equipment made in the Republic of Korea.The blood plasma MLT and EGF were measured by the method of ELISA analysis ELISA made in thelaboratory of the “AVITSENNA Science and Technology center”.The study material analysis carried out an analysis using logistic regression analysis and Pearson’scorrelation coefficient with SPSS 23.0 software.ResultThere’s an inverse weak correlation between blood plasma MLT and EGF with body wealth characteristicsof Uvs province citizens. It shows that when the blood plasma MLT and EGF decreases the body weight,body height and body weight index increase tendency.In women the decrease of blood plasma MLT and EGF also decreases the body height and body weightindex.Research on correlation between cardiovascular system and blood plasma MLT and EGF shows thatdecrease of blood plasma MLT causes in increased arterial pressures in both sexual groups, decreasedEGF in women causes decreased arterial pressure.Correlation study between skin main characteristics and blood plasma MLT and EGF shows thatdecreased blood plasma EGF in men resulted in decreased skin wrinkles, porosity, elasticity and skin aging index, in women decreased skin pigmentation and elasticity, and increased skin wrinkles, porosity and aging index in women.Research study of correlation between biological age and adaptive capacity assessment with the blood plasma MLT and EGF shows that decreased MLT and EGF in men results in increased biological age characteristics. In other words, the early aging is caused.The logistical regression analyses made using blood plasma melatonin, skin porosity, biological age,body height and sex as the risk parameters of Pearson coefficient and chi-squared parameter. Above model resulted in skin porosity and blood plasma MLT’s are becoming independent variable assessing the skin aging.Conclusions:1. The decreased MLT and EGF’s are resulted in increased body weight, body height and body weight index in men and decreased body height, body weight index in women.2. Decreased blood plasma MLT resulted in increased arterial pressure in both sexual groups and decreased EGF resulted in decreased arterial pressure in women.3. The decreased blood plasma MLT and EGF results in decreased skin wrinkles, porosity, elasticityand skin aging parameter with the increased skin pigmentation in men, as it results in decreasedskin pigmentation, elasticity and skin porosity parameters with the increased skin aging degree in women.4. When epidermal growth factor and blood plasma melatonin is decreased in men it results in increased biological age, but depends directly to the adaptive capacity assessment.5. Skin porosity and blood plasma melatonin were becoming independent variable to assess skin aging.

Background: Discrepancies in the sensitivity to biological effects of the androgens, exerted through the binding of the hormone to the androgen receptor (AR), may also be involved in the inter-individual variation of T as well as in age related decline. The human androgen receptor (AR), located on chromosome Xq11-12, is a transcription factor regulating the development of male reproductive organs in the fetus and secondary sex characteristics at puberty in response to testosterone (T) and 5a-dihydrotestosterone (DHT). The AR contains two polymorphic regions, the (CAG)nCAA repeat encoding polyglutamine, and the (GGT)3GGG(GGT)2(GGC)n repeat encoding polyglycine, commonly referred to as the CAG and GGN repeats respectively. The aim of this study is to investigate the effect of the human androgen receptor genes CAG and GGN repeat polymorphisms in relation with androgen level.Materials and Methods: Sample collection: 180 male, the medical data of these volunteers were obtained and determined some androgen hormones at first phase of study in 2010-2011 (total testosterone (TT), free testosterone (FT) and bioavailable testosterone (BAT)). To determine CAG/GGN repeats length in exon of androgen receptor gene, using frozen serum as a source of deoxyribonucleic acid (DNA). DNA was extracted from blood samples (200 ml) using High PurePCR Template Preparation Kits.Results: The 180 men whose age is at least 40 were involved in our research and their average age was 55.1±10.3. The 46.7% (84) of the participants presents CAG gene, the 6.1% (11) of the participants presents GGN gene while the 25.5% (46) of the participants presents both CAG and GGN genes. However, the 21.7% of 39 men not presents CAG and GGN genes.Conclusion: The free testosterone level was significantly decreasing with aging. However, the appearance of CAG gene polymorphism was significantly higher in more aged people. Decline of free testosterone level in participants with CAG and [CAG+GGN] combined form was stronger than in people with GGN gene polymorphism and CAG, GGN both undetected people. But the level of bioavailable testosterone was decreasing with aging and the appearance of CAG gene polymorphism (r=-0.425, p=0.01) and [CAG+GGN] combined form (r=-0.491, p=0.028) was also increasing.

background: Our country’s aging for men of 30-39, 40-49 ages it was accelerated aging process and very accelerated aging process. Aging for men of 50-59, 60- 69 ages it was normal aging and slowed aging process. Aging for women 30-39, 40-49 ages it was normal end slowed aging process. Aging for women 50-59, 60-69 ages it was slowed and significantly slowed aging process. Otherwise, aging for young groups was accelerated and very accelerated aging process, aging for old groups was normal, slowed and significantly slowed aging process. The aging process of men was more quickly than women in our country [1].Aim of the stady: To define biological aging, aging indexes and adaptation potential in population of 18- 25 years old of Ulaanbaatar city.Materials and methods: In total 537 person of 18- 25 years from Ulaanbaatar city were chosen for the research study which was conducted in 2012. Biological age levels were assessed on the basis of following standards. True biological age was determined with clinical-physiologycal indexes and biological age with chronological age. Adaptation potential have been studied with the help of special indexes and analysis were made with the use of regression method. Quantative data of the study has been processed with the use of statistical data processing software SPSS- 19.Results and discussions: Body mass index of 18-25 aged men of Ulaanbaatar city was 22.2146, cachexia 7.82%, normal weight 79.32%, more weight 10.24%, obesity 2.6%, Aging for men of 18-25 ages it was significantly slowed aging process of men was observed 0.37%, slowed aging process 0.55%, normal aging 0.93%, accelerated aging process 12.47%, and very accelerated aging process was 85.66%. The portion of men with normal adaptation potential was 55.67%, adaptation functional tension was 43.76%, unsatisfactory adaptation was 0.55%.Conciusions:1. The portion of cachexia 7.82%, more weight 10.24%, obesity 2.6% of 18-25 aged men of Ulaanbaatar city.2. Health status was abnormal 98.13% of 18-25 aged men of Ulaanbaatar city.3. The portion of 18-25 aged men of Ulaanbaatar city adaptation functional tension 43.76%, unsatisfactory adaptation was 0.55%.References:1. 1 .Tuul M., Lhagva L., Sukhbaatar Ts., AmgalanbaatarD. “Aging biology of Mongolians” III book. “Admon” puplisher. Ulaanbaatar. 2009.2. Open society forum. “Policy of young” abstract. UB. 2010.3. Leonid Kalichman, Ida Malkin, Gregory Livshigts, Oleg Pavlovsky, Valery Bathvich. Variation of Skeletal Biomarkers of biological Aging in a Chuvashian Population: A Longitudinal Stady. American journal of human biology 19:74-81. 2007.4. Apanacenco G.L, Popava L.A, “Medical Valeology”. Kiev. 2000.

Introduction: We decided to study the prevalence of zygomatic fracture among the population which presented one variation of facial fractures has been occurred more often from traffic accidents, sports trauma and other injures with high-impact. There were the quantity of patients with zygomatic fractures has been treated at in-patients and out-patients.In 1998,Gerhard S., Joseph A. (USA) reviewed 259 patients with zygomatic fractures and found that ZMC (zygomaticomaxillary complex) fractures occurred in 78.8% of patients, arch fractures occurred in 10.8% and 10.4 % of patients, respectively. Of note, displaced or comminuted fractures were found in 59.3% of patients with isolated zygomatic arch fractures.Goal: The main purposes of this study are to determine cause of zygomatic fractures, the occasion and form of fractural lines.Specific objectives:1. To reveal the occurance of zygomatic fracture2. To identify etiology of zygomatic fracture3. To classify the configuration of zygomatic fractureMaterials and Methods: The study of the science discussion be provide necessity which faced on medical science. Therefore: In-patients with zygomatic fracture treated in State of central hospital. The data of this study composed 13314 in-patients records who treated 480 patients at maxillofacial department of State hospital between 1996-2011. Objectives representative expecting is 8-10%.Result: There were 3.61% 480 patients with zygomatic fractures of total patients 13314 treated in Maxilla facial-oral surgery clinic from 1996-2011. The zygomatic fractures have been occurred mostly in the everyday life injures and traffic accidents 61.25% have resulted from beginning fight. There were arch fractures 17,53%, zygomatic fractures 18.31%. There were the main fractures 64.16% in the zygomatic have occurred in the maxillary sinusitis.

In 2006, by the news of National Center of Health Development, morbidity of cardiovascular disease was 501.84 per 10000 people. It’s increased by 2 times than over 10 years.Goal: To study and to determine stereometric research, mathematic modeling and histologicalcharacteristic on cardiomyocyte of arterial hypertension (AH), acute myocardial infarction (AMI) and chronic rheumatoid fever (CRF).Materials and Methods: It was prepared sections for histometric materials from muscular of left ventricle. Linear measurement and number of cardiomyocyte per area of materials were carried out by computermicroscope “Leica” with program Diskus 3.2 version from German. On linear measurement of AH, AMI and CRF were processed by mathematic modeling. On ratio of cytoplasm and nucleus and histological characteristics were analyzed by chi-square testResults: Results of stereometric research on cardiomyocyte On AH volume of cardiomyocyte was 5788.22±40.99mkm3, volume of the nucleus - 806.47±12.86mkm3, ratio cytoplasm and nucleus 1:7 and number of cells per area was 10.On AMI volume of cardiomyocyte was 3240.94±48.96mkm3, volume of the nucleus - 693.85±12.76mkm3, ratio cytoplasm and nucleus 1:5 and number of cells per area was 16. On CRF volume of cardiomyocyte was 5341.06±63.4mkm3, volume of the nucleus - 801.5±15.96mkm3, ratio cytoplasm and nucleus 1:7 and number of cells per area was 11. In comparatively healthy condition at 20 to 30 years old population of Mongolia the volume of cardiomyocyte was determined 1063.17mkm3, volume of nucleus 406.69mkm3, ratio cytoplasm and nucleus 2.6 and number of cells per area was 31. Result of histological research of myocardial muscle. By the research of the difference between histological characteristic was confirmed that all of this characteristics have real main difference. Conclusions: It was confirmed difference with statistical probability by that determined volume of the cardiomyocyte 5788.22±40.99mkm3 in AH, 3240.94±48.96mkm3 in AMI and 5341.06±63.4mkm3 in CRF. Quantity of cells per area was in AH - 10, in AMI – 16 and in CRF 11, but in comparatively healthy condition it was 31.