• Korean Journal of Clinical Laboratory Science
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• v.53 no.3
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• pp.208-216
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• 2021

Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to investigate the status of renal function in patients with COVID-19. The study surveyed a total of 649 patients hospitalized with COVID-19 at a hospital located in southern Gyeonggi Province, South Korea over a one month period in January 2021. The parameters analyzed were blood urea nitrogen (BUN), creatinine, sodium, potassium, chloride, and estimated glomerular filtration rate (eGFR). The BUN and creatinine of the COVID-19 patients were found to be higher than the normal reference range, specially in males, and in the elderly (60s and 80s or older). The serum electrolyte levels of the patients were observed to be within the reference intervals. Of the subjects, males over 80 years of age had a Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) of 60 mL/min/1.73 m² or less. Recent research suggests that some severe cases of COVID-19 are showing signs of kidney damage, even in those with no prior underlying kidney disease. Thus, assessment of kidney function using multiple indicators could help diagnose abnormal renal function in patients with COVID-19.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.248-261
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• 2021

The purpose of this study is that the blood nutrient indicator in adult women, is the depressive indicator. This study recruited 77 pre-menopausal women, and excluding missing values, 53 (mean age 44.2±6.5 years) blood indexes were statistically confirmed and then analyzed the effect of indexes on the Beck Depression Inventory. The Beck's Depression Inventory(BDI)'s average of the study subjects was 7.6±7.2, and most of the depression symptoms were within the normal range. Only two women were very serious and other two women were serious state. As a result of this study, 21 questions of BDI was classified into 5 sub-factors. Of these, 2 factors were considered physical depression, 1 factor was mood depression, 1 factor was cognitive depression, and 1 factor undecided. As a result of the correlation analysis, triglyceride, LDL(low density lipoprotein) cholesterol and potassium showed statistically significant positive relationship with depressive factors. On the other hand, HDL(high density lipoprotein) cholesterol, sodium and chloride ions showed negative relationship with depressive factors. When multiple regression analysis was performed. Considering the depression factors was dependent variable, and triglyceride, cholesterol, blood sugar, and ketone bodies was considered as independent variables. HDL(high density lipoprotein) cholesterol had a statistically significant negative effect on the depression factor 3. Considering the depression factors was dependent variable, and minerals were considered as independent variables. Potassium had a positive effect, and chloride ions had a negative effect on the depressive factor 3. This study was limited to 77 pre-menopausal women. In the future, post-menopausal women, men, and clinical neurological disorders group will be possible.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.455-461
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• 2021

Cardiomegaly is one of the most common diseases seen on chest X-rays, but if it is not detected early, it can cause serious complications. In view of this, in recent years, many researches on image analysis in which deep learning algorithms using artificial intelligence are applied to medical care have been conducted with the development of various science and technology fields. In this paper, we would like to evaluate whether the Inception V3 deep learning model is a useful model for the classification of Cardiomegaly using chest X-ray images. For the images used, a total of 1026 chest X-ray images of patients diagnosed with normal heart and those diagnosed with Cardiomegaly in Kyungpook National University Hospital were used. As a result of the experiment, the classification accuracy and loss of the Inception V3 deep learning model according to the presence or absence of Cardiomegaly were 96.0% and 0.22%, respectively. From the research results, it was found that the Inception V3 deep learning model is an excellent deep learning model for feature extraction and classification of chest image data. The Inception V3 deep learning model is considered to be a useful deep learning model for classification of chest diseases, and if such excellent research results are obtained by conducting research using a little more variety of medical image data, I think it will be great help for doctor's diagnosis in future.

• Journal of Life Science
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• v.32 no.3
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• pp.263-269
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• 2022

Cancer cachexia-anorexia is a multi-organ metabolic syndrome characterized by anorexia and weight loss. Generally, such symptoms are a serious problem in cancer patients, adversely affecting chemotherapy success and survival rate. Cachexia has been reported to accompany up to 80% of gastrointestinal cancers, such as pancreatic, lung, and colon cancer, though it is relatively rare in lymphoma or breast cancer patients. It is also known that cancer-induced anorexia occurs independently of chemotherapy, although decreased appetite due to chemotherapy is well reported. In terms of pathoflammatory cytokines that are excessively increased by tumor tissues. Since the mechanism of cancer cachexia is not yet fully understood, there are currently no therapeutic agents or diagnostic markers to treat it. A recently published study identified a substance secreted from cancer cells that induces cancer anorexia, and the molecular mechanism causing the eating disorder was discovered. An increase in the expression of this substance has been shown to be statistically correlated with the symptoms of cachexia in cancer patients, and it is therefore expected to be applicable in the diagnosis and development of therapeutic agents for cancer cachexia. This review article aims to provide an overview of the key molecular mechanisms of the anorexia and tissue wasting caused by cancer cachexia.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.67-76
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• 2023

COVID-19, which occurred in 2019, has a strong contagious power, has serious symptoms of infection and after-effects, and death in severe cases depending on the underlying disease and symptoms. As COVID-19 is highly contagious, in Korea, screening clinics have been set up across the country to determine whether or not to be positive for COVID-19 and isolate the infected to prevent the spread of COVID-19. However, there are cases where COVID-19 test applicants flock to screening clinics and cannot receive tests due to longer waiting times, and there is a risk that secondary infections may occur in the atmosphere. In this study, the reservation and notification system can be applied from the existing screening care system to solve spatial constraints, reducing waiting time with screening appointments, and solving population bottlenecks to screening clinics. Taking the COVID-19 pandemic as an experience, we propose a system that can present directions in future pandemic situations. To process real-time data, we use Google's Firebase to use Realtime Database in the cloud environment. Because a real-time database is used, users can check the status of screening clinics in real time through the app, make reservations, and receive notifications about test reservations.

• Journal of Life Science
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• v.33 no.9
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• pp.730-735
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• 2023

In the past decade, numerous studies have been carried out to quantify aging with the help of artificial intelligence. Using DNA methylation data, various models have been developed; these are commonly called epigenetic clocks. Epigenetic age acceleration is usually associated with disease conditions. Schizophrenia is a mental illness associated with severe mental and physical stress. This disease leads to high mortality and morbidity rates in young people compared with other psychological disorders. In the past, the research community considered this disease to be related to the accelerated aging hypothesis. In the current study, we wanted to investigate the epigenetic age acceleration changes in schizophrenia patients to obtain epigenetic insights into the disease. To measure the epigenetic age acceleration, we used two different DNA methylation clock models, namely, Horvath clock and Epi clock, as these are pan-tissue models. We utilized 450k array data compatible with both clocks. We found a slower epigenetic acceleration in the patients' samples when we used the Epi clock. We further analyzed the differentially methylated CpG sites between the control and cases and performed pathway enrichment analysis. We found that most of the CpGs are involved in neuronal processes.

• Journal of the Korean Orthopaedic Association
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• v.54 no.3
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• pp.211-218
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• 2019

Herniation of the intervertebral disc is a medical disease manifesting as a bulging out of the nucleus pulposus or annulus fibrosis beyond the normal position. Most lumbar disc herniation cases have a favorable natural course. On the other hand, surgical intervention is reserved for patients with severe neurological symptoms or signs, progressive neurological symptoms, cauda equina syndrome, and those who are non-responsive to conservative treatment. Numerous surgical methods have been introduced, ranging from conventional open, microscope assisted, tubular retractor assisted, and endoscopic surgery. Among them, microscopic discectomy is currently the standard method. Biportal endoscopic spinal surgery (BESS) has several merits over other surgical techniques, including separate and free handling of endoscopy and surgical instruments, wide view of the surgical field with small skin incisions, absence of the procedure of removing fog from the endoscope, and lower infection rate by continuous saline irrigation. In addition, existing arthroscopic instruments for the extremities and conventional spinal instruments can be used for this technique and surgery for recurred disc herniation is applicable because delicate surgical procedures are performed under a brightness of 2,700 to 6,700 lux and a magnification of 28 to 35 times. Therefore, due to such advantages, BESS is a novel technique for the surgical treatment of lumbar disc herniation.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.9
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• pp.289-296
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• 2017

Anger cause heart disease and domestic violence and recently there have been an increasing number of media reports of crimes committed because of their inability to control their anger. Anger has been reported to cause massive financial losses due to heart disease and domestic violence. Therefore, since anger raises serious social problems and social costs, it is necessary to take active intervention methods to alleviate inappropriate anger coping. A variety of methods such as cognitive and emotional approach, psycho-mechanical approach, psycho-educational approach, relaxation therapy, cognitive behavior-art therapy, and stress immunization are being explored and utilized for presenting effective anger-coping intervention alternatives. In this manner, information and communication technology is likely to be used as an effective means for this, and various researches are being conducted. The purpose of this study is to develop an anger coping service technology using ICT (Information & Communication Technology) technology as an effort to improve anger coping ability. In other words, the goal is to develop a technology that delays anger and evokes the surroundings by providing location-based services to recognize anger situations and facilitate anger. This research is about the technology which intervene directly the anger situation to resolve it using location information and introduce the base technology to realize it.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.2
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• pp.105-112
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• 2023

Leucine-rich repeat kinase 2 (LRRK2) is known to play a crucial role in the pathophysiology of neurodegenerative disorders such as Parkinson's disease. LRRK2 is predominantly expressed in the lung as well as the brain. However, it is unclear whether LRRK2 expression correlates with the pathogenesis of lung squamous cell carcinoma (LUSC). This study analyzes the prognostic significance of LRRK2 in LUSC using the Kaplan-Meier plotter tool. High expression of LRRK2 is known to be associated with a bad prognosis in patients with LUSC. Patients with high LRRK2 expression, tumor mutational burden, high neoantigen load, and even gender correlation reportedly have the worse survival rates. In the gene expression profiling interactive analysis (GEPIA) database, the severity of pathogenesis in LUSC with high LRRK2 expression positively corresponds to a high expression of anti-inflammatory cytokines but not inflammatory cytokines. Similarly, the increased expression of interleukin (IL)10-related genes was shown to be significantly linked in LRRK2-high LUSC patients having a poor prognosis. Moreover, the tumor immune estimation resource (TIMER) database suggests that macrophages are one of the cellular sources of IL10 in LRRK2-high LUSC patients. Collectively, our results demonstrate that the postulated LRRK2-IL10 axis is a potential therapeutic target and prognostic biomarker for LUSC.

• 한국노년학
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• v.31 no.4
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• pp.1135-1153
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• 2011

The study aims to examine the interaction of socio-economic status in education and income in the difference of the level of subjective health, physical health, and mental health of middle-age and the elderly of Korea. While there have been various discussions in precedent study with respect to the serious increase in the number of dependent life alongside with increasing elderly population, research on the health level according to socio-economic status is highly limited, and also how the health level of middle-age and the elderly - whom will arrive at senescence in just a few years - is different. The study aims at analyzing the health level by hierarchy and age based on data targeting the whole nation. As for analysis data, the study utilized 1st Korean Longitudinal Study of Ageing (KLoSA) implemented by Korea Labor Institute, and carried out a path analysis to verify whether income and academic background serve as a parameter to the level of subjective health, physical health, and mental health. As a result, while the subjective health level decreases, the study confirmed an increase in chronic diseases, and extremely low level of mental health when people in middle-age enter the elderly. In addition, the higher the education and income, the more the health levels both on middle-age and the elderly; the result suggests that education background and income have mediated effects in all health level of middle-age and the elderly.