• Title/Summary/Keyword: Metabolic Syndrome

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Relationship between Arterial Stiffness as Measured by the Cardio-Ankle Vascular Index with Body Mass Index in Healthy Elderly Subjects (건강한 노인에서 심장-발목 혈관지수로 측정한 동맥 경직도와 체질량 지수간의 상관관계)

  • Shin, Kyung A
    • Korean Journal of Clinical Laboratory Science
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    • v.51 no.3
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    • pp.277-285
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    • 2019
  • An inverse correlation between obesity and arterial stiffness has been reported, but there are no consistent results in elderly subjects. This study examined the relationship between the arterial stiffness measured by the CAVI (cardio-ankle vascular index) and BMI (body mass index) in healthy elderly people. This study included 629 healthy elderly people aged 65 and over who underwent health examinations at a general hospital in Gyeonggi from July 2018 to June 2019. Metabolic syndrome was diagnosed using the criteria of the Adult Treatment Panel (ATP) III of the US National Cholesterol Education Program (NCEP). Among the criteria of NCEP-ATP III, the waist circumference and obesity criteria were based on the WHO criteria. All subjects underwent a biochemical blood test and an assessment of the CAVI. In both men and women, the CAVI was lower in the obese group than in the normal weight group. Gender (P=0.047), age (P<0.001), BMI (P<0.001), and waist circumference (P=0.008) were factors affecting the CAVI. Gender, high blood pressure, and hyperglycemia were independent positive predictors of the CAVI levels, while obesity was a negative predictor. Therefore, the CAVI and BMI showed an inverse correlation. In conclusion, there was an inverse correlation between the CAVI and BMI in the elderly, and obesity was a negative predictor of the CAVI.

Effects of Blood Factors on Coronary Artery Calcification Scores (혈액인자가 관상동맥 석회화 수치에 미치는 영향)

  • Park, Mi Jeong;Jang, Hyon Chol;Cho, Pyong Kon
    • Journal of the Korean Society of Radiology
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    • v.15 no.3
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    • pp.337-344
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    • 2021
  • Coronary artery calcification is associated with cardiovascular risk factors and metabolic syndrome, and several studies have already reported that coronary artery calcification score are closely related to the amount of atherosclerotic plaques. This study was conducted on 109 patients who underwent coronary calcium CT who visited the comprehensive health examination center in Daegu city during the period from December 2020 to February 2021. we would like to investigate the relationship between coronary artery calcification score and blood factors. As a result of the study, the abnormal group increased the risk of calcification by 1.113 times compared to the normal group in the waist circumference factor. In the fasting glucose factor, the abnormal group increased the risk of calcification by 1.036 times compared to the normal group, and in the triglyceride factor, the abnormal group was normal. As the risk of calcification increased 1.008 times compared to the group, the waist circumference factor, fasting glucose factor, and triglyceride factor were found to be factors affecting coronary artery calcification score. The risk of developing calcification is primarily associated with waist circumference, anemia and triglycerides, and health care and health checks are expected to help reduce the incidence of cardiovascular disease and reduce medical costs.

Deep Learning Algorithm and Prediction Model Associated with Data Transmission of User-Participating Wearable Devices (사용자 참여형 웨어러블 디바이스 데이터 전송 연계 및 딥러닝 대사증후군 예측 모델)

  • Lee, Hyunsik;Lee, Woongjae;Jeong, Taikyeong
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.6
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    • pp.33-45
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    • 2020
  • This paper aims to look at the perspective that the latest cutting-edge technologies are predicting individual diseases in the actual medical environment in a situation where various types of wearable devices are rapidly increasing and used in the healthcare domain. Through the process of collecting, processing, and transmitting data by merging clinical data, genetic data, and life log data through a user-participating wearable device, it presents the process of connecting the learning model and the feedback model in the environment of the Deep Neural Network. In the case of the actual field that has undergone clinical trial procedures of medical IT occurring in such a high-tech medical field, the effect of a specific gene caused by metabolic syndrome on the disease is measured, and clinical information and life log data are merged to process different heterogeneous data. That is, it proves the objective suitability and certainty of the deep neural network of heterogeneous data, and through this, the performance evaluation according to the noise in the actual deep learning environment is performed. In the case of the automatic encoder, we proved that the accuracy and predicted value varying per 1,000 EPOCH are linearly changed several times with the increasing value of the variable.

Prevalence and risk factors of gallbladder polyps among adults on Jeju Island according to genders

  • Kwon, Oh-Sung;Kim, Young-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.103-112
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    • 2021
  • Gallbladder polyps (GBPs) may be a cause of gallbladder cancer. The known risk factors for GBPs are male gender, obesity, metabolic syndrome, and dyslipidemia. Especially, male gender has been known that it strongly affects on the prevalence of GBPs. Therefore, this study aimed to investigate risk factors affecting the prevalence of GBPs among adults on Jeju Island according to genders. We examined 5,574 subjects who visited a single health-screening center at Jeju National University Hospital between January 2015 and December 2019. Univariate and multiple logistic regression analysis were performed to identify risk factors affecting the prevalence of GBPs. The prevalence of GBPs were 8.9% in male subjects and 8.1% in female subjects, respectively. Multivariate analysis revealed that ≥60 year age (odds ratio [OR] 0.659; P=0.027) and aspartate aminotransferase >32 IU/L (OR 0.658; P=0.009) in male subjects and high-density lipoprotein-cholesterol ≥60 mg/dL (OR 0.514; P=0.013) in female subjects were independent factors affecting the prevalence of GBPs. The prevalence of GBPs in men (8.9%) is comparable to that in women (8.1%) on Jeju Island. Age <60 years and the higher level of aspartate aminotransferase in men and the normal or lower high-density lipoprotein-cholesterol in women were independent risk factors of GBPs on Jeju Island.

Recent Studies on Anorexia and Tissue Wasting Induced by Cancer Cachexia (암 악액질의 주요 병인 기전 및 최근 연구 동향)

  • Yeom, Eunbyul
    • 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.

Comparisons of the prevalence and analysis of risk factors affecting gallstone disease on Jeju Island

  • Kwon, Oh-Sung;Kim, Young-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.119-126
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    • 2022
  • The reported risk factors for gallstone disease (GD) are old age, female sex, obesity, metabolic syndrome and migrants. Many younger adults tend to live in Jeju City, where transportations are convenient and commercial activities are active. Whereas, older people tend to live in Seogwipo City, because they engaged in fisheries and agriculture. Rates of migrants and old age could affect the prevalence of GD among residents in two regions. Therefore, the purpose of this study was to compare the GD prevalence and analyze risk factors affecting GD including residencies. A total of 13,050 subjects who visited a single health medical check-up center on Jeju Island between 2012 and 2019 were included. We performed univariate and multivariate analysis to identify risk factors for GD. The prevalence of GD among residents were 5.7% in Jeju City and 5.8% in Seogwipo City, respectively. Multivariate analysis revealed that age (P=0.008), body mass index (P=0.044), high-density lipoprotein cholesterol (P=0.006) and gamma-glutamyl transferase (P=0.013) were independent factors affecting GD. The old age, mean higher body mass index, gamma-glutamyl transferase and mean lower high-density lipoprotein cholesterol were independent risk factors affecting GD. However, residencies did not affect the prevalence of GD.

Curcumin represses lipid accumulation through inhibiting ERK1/2-PPAR-γ signaling pathway and triggering apoptosis in porcine subcutaneous preadipocytes

  • Pan, Shifeng;Chen, Yongfang;Zhang, Lin;Liu, Zhuang;Xu, Xingyu;Xing, Hua
    • Animal Bioscience
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    • v.35 no.5
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    • pp.763-777
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    • 2022
  • Objective: Excessive lipid accumulation in adipocytes results in prevalence of obesity and metabolic syndrome. Curcumin (CUR), a naturally phenolic active ingredient, has been shown to have lipid-lowering effects. However, its underlying mechanisms have remained largely unknown. Therefore, the study aims to determine the effect of CUR on cellular lipid accumulation in porcine subcutaneous preadipocytes (PSPA) and to clarify novel mechanisms. Methods: The PSPA were cultured and treated with or without CUR. Both cell counting Kit-8 and lactate dehydrogenase release assays were used to examine cytotoxicity. Intracellular lipid contents were measured by oil-red-o staining extraction and triglyceride quantification. Apoptosis was determined by flow cytometry and the terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate-nick end labelling assay. Adipogenic and apoptosis genes were analyzed by quantitative polymerase chain reaction and Western blot. Results: The CUR dose-dependently reduced the proliferation and lipid accumulation of PSPA. Noncytotoxic doses of CUR (10 to 20 μM) significantly inhibited extracellular signal-regulated kinase 1/2 (ERK1/2) phosphorylation and expression of adipogenic genes peroxisome proliferation-activity receptor-γ (PPAR-γ), CCAAT/enhancer binding protein-α, sterol regulatory element-binding protein-1c, adipocyte protein-2, glucose transporter-4 as well as key lipogenic enzymes fatty acid synthase and acetyl-CoA carboxylase, while ERK1/2 activation significantly reversed CUR-reduced lipid accumulation by increasing PPAR-γ. Furthermore, compared with differentiation induced media treated cells, higher dose of CUR (30 μM) significantly decreased the expression of AKT and B-cell lymphoma-2 (BCL-2), while increased the expression of BCL-2-associated X (BAX) and the BAX/BCL-2 expression ratio, suggesting triggered apoptosis by inactivating AKT and increasing BAX/BCL-2 ratio and Caspase-3 expression. Moreover, AKT activation significantly rescued CUR inhibiting lipid accumulation via repressing apoptosis. Conclusion: These results demonstrate that CUR is capable of suppressing differentiation by inhibiting ERK1/2-PPAR-γ signaling pathway and triggering apoptosis via decreasing AKT and subsequently increasing BAX/BCL-2 ratio and Caspase-3, suggesting that CUR provides an important method for the reduction of porcine body fat, as well as the prevention and treatment of human obesity.

Sleep Disordered Breathing in Children (어린이의 수면호흡장애)

  • Yeonmi, Yang
    • Journal of the korean academy of Pediatric Dentistry
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    • v.49 no.4
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    • pp.357-367
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    • 2022
  • Sleep disordered breathing (SDB) is a disease characterized by repeated hypopnea and apnea during sleep due to complete or partial obstruction of upper airway. The prevalence of pediatric SDB is approximately 12 - 15%, and the most common age group is preschool children aged 3 - 5 years. Children show more varied presentations, from snoring and frequent arousals to enuresis and hyperactivity. The main cause of pediatric SDB is obstruction of the upper airway related to enlarged tonsils and adenoids. If SDB is left untreated, it can cause complications such as learning difficulties, cognitive impairment, behavioral problems, cardiovascular disease, metabolic syndrome, and poor growth. Pediatric dentists are in a special position to identify children at risk for SDB. Pediatric dentists recognize clinical features related to SDB, and they should screen for SDB by using the pediatric sleep questionnaire (PSQ), lateral cephalometry radiograph, and portable sleep monitoring test and refer to sleep specialists. As a therapeutic approach, maxillary arch expansion treatment, mandible advancement device, and lingual frenectomy can be performed. Pediatric dentists should recognize that prolonged mouth breathing, lower tongue posture, and ankyloglossia can cause abnormal facial skeletal growth patterns and sleep problems. Pediatric dentists should be able to prevent these problems through early intervention.

Pharmacological Effects and Pharmacokinetic Properties of Panax ginseng and Platycodon grandiflorum (인삼과 도라지의 약리적 효과와 약동학적 특성)

  • Sol Jung;Sang Joon An;Yeong In Kim;Hyo Jin Ju;Sang-Yeop Yi;Doo Young Kim
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.67 no.4
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    • pp.305-318
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    • 2022
  • To minimize the effects of aging-related comorbidities and to maintain a good quality of life and physical independence for a longer period, the improvement of lifestyle and dietary habits is essential, and healthy foods can be helpful. Among them, medicinal plant such as ginseng (Panax ginseng) and bellflower (Platycodon grandiflorum) contain natural functional substances and have been used for disease treatment and prevention since ancient times. This review summarizes the scientific of these treatments basis by investigating the pharmacological and pharmacokinetic effects of major functional substances on the aging-related health effects of Panax ginseng and Platycodon grandiflorum. The main functional substances of Panax ginseng and Platycodon grandiflorum are saponins, which have a similar molecular structure and confirmed anti-inflammatory, antioxidant, neuroprotective, anticancer, and anti-metabolic syndrome effects (improvement of hypertension, dyslipidemia, diabetes, and obesity). Both types of saponins in Panax ginseng (Ginseonside) and Platycodon grandiflorum (Platycoside) have very low absorption profiles in their purified state, but methods to increase absorption in the body through extraction or fermentation have been studied.

Contrast Media Side Effects Prediction Study using Artificial Intelligence Technique (인공지능 기법을 이용한 조영제 부작용 예측 연구)

  • Sang-Hyun Kim
    • Journal of the Korean Society of Radiology
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    • v.17 no.3
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    • pp.423-431
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    • 2023
  • The purpose of this study is to analyze the factors affecting the classification of the severity of contrast media side effects based on the patient's body information using artificial intelligence techniques to be used as basic data to reduce the degree of contrast medium side effects. The data used in this study were 606 examiners who had no contrast medium side effects in the past history survey among 1,235 cases of contrast medium side effects among 58,000 CT scans performed at a general hospital in Seoul. The total data is 606, of which 70% was used as a training set and the remaining 30% was used as a test set for validation. Age, BMI(Body Mass Index), GFR(Glomerular Filtration Rate), BUN(Blood Urea Nitrogen), GGT(Gamma Glutamyl Transgerase), AST(Aspartate Amino Transferase,), and ALT(Alanine Amiono Transferase) features were used as independent variables, and contrast media severity was used as a target variable. AUC(Area under curve), CA(Classification Accuracy), F1, Precision, and Recall were identified through AdaBoost, Tree, Neural network, SVM, and Random foest algorithm. AdaBoost and Random Forest show the highest evaluation index in the classification prediction algorithm. The largest factors in the predictions of all models were GFR, BMI, and GGT. It was found that the difference in the amount of contrast media injected according to renal filtration function and obesity, and the presence or absence of metabolic syndrome affected the severity of contrast medium side effects.