• BMB Reports
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• v.51 no.2
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• pp.65-72
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• 2018

The endothelial to mesenchymal transition (EndMT) is a newly recognized, fundamental biological process involved in development and tissue regeneration, as well as pathological processes such as the complications of diabetes, fibrosis and pulmonary arterial hypertension. The EndMT process is tightly controlled by diverse signaling networks, similar to the epithelial to mesenchymal transition. Accumulating evidence suggests that microRNAs (miRNAs) are key regulators of this network, with the capacity to target multiple messenger RNAs involved in the EndMT process as well as in the regulation of disease progression. Thus, it is highly important to understand the molecular basis of miRNA control of EndMT. This review highlights the current fund of knowledge regarding the known links between miRNAs and the EndMT process, with a focus on the mechanism that regulates associated signaling pathways and discusses the potential for the EndMT as a therapeutic target to treat many diseases.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4495-4499
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• 2013

Morinda citrifolia, also known as Great Morinda, Indian Mulberry, or Noni, is a plant belonging to the family Rubiaceae. A number of major chemical compounds have been identified in the leaves, roots, and fruits of the Noni plant. The fruit juice is in high demand in alternative medicine for different kinds for illnesses such as arthritis, diabetes, high blood pressure, muscle ached and pains, menstrual difficulties, headache, heart diseases, AIDS, gastric ulcer, sprains, mental depression, senility, poor digestion, arteriosclerosis, blood vessel problems, and drug addiction. Several studies have also demonstrated anti-inflammatory, antioxidant and apoptosis-inducing effects of Noni in various cancers. Based on a toxicological assessment, Noni juice was considered as safe. Though a large number of in vitro, and, to a certain extent, in vivo studies demonstrated a range of potentially beneficial effects, clinical data are essentially lacking. To what extent the findings from experimental pharmacological studies are of potential clinical relevance is not clear at present and this question needs to be explored in detail before an recommendations can be made.

• Journal of Home Health Care Nursing
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• v.17 no.2
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• pp.120-126
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• 2010

Purpose: The study sought to identify the differences in chronic diseases and physical activity in elderly women by BMI. Method: The subjects of this study were 644 elderly women 60-80-years-of-age living at home. The research instruments were physical activity levels and chronic diseases. Subjects were given a self-report questionnaire. Data were analyzed using the SPSS win program. Result: Hypertension, prevalence of diabetes mellitus and hyperlipemia were significantly different in the subjects according to body mass index, being higher in obese subjects than in non-obese subjects. Physical activity in each of the body mass index groups did not differ significantly. Conclusion: Obesity increases the risk of chronic diseases. This knowledge could help elderly women control their weight, reduce chronic diseases, and ultimately, gain better health.

• Journal of the Semiconductor & Display Technology
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• v.10 no.3
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• pp.95-98
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• 2011

System to urinalysis using FT-IR instruments is presented based on fuzzy logic knowledge. Linguistic expressions of the possibility of infection and the importance were quantified and membership functions were determined based on general quantitative criteria. Diseases considered were Diabetes Mellitus, Proteinuria, Microalbuminuria. Glucose, Protein, Albumin, Creatinine in 30 samples were analyzed by the present system, which resulted in 74% accuracy. The simple mathematical formulation of present system would enable an easy implementation in commercial analysis instruments. Also, the identical fuzzy logic can be applied to similar diagnostic environments in general.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.88-97
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• 2018

Chronic diseases management can be effectively achieved through early detection, continuous treatment, observation, and self-management, rather than a radar approach where patients are treated only when they visit a medical facility. However, previous studies have not been able to provide integrated chronic disease management services by considering generalized services such as hypertension and diabetes management, and difficult to expand and link to other services using only specific sensors or services. This paper proposes clinical rule flow model based on medical data analysis to provide personalized care for chronic disease management. Also, we implemented that as Rule-based Smart Healthcare System (RSHS). The proposed system executes chronic diseases management rules, manages events and delivers individualized knowledge information by user's request. The proposed system can be expanded into a variety of applications such as diet and exercise service in the future.

• The Journal of the Korean dental association
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• v.49 no.10
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• pp.609-617
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• 2011

The geriatric population is the most rapidly growing part of the general population, which leads to an increase of chronic conditions and illnesses that will influence both oral and systemic health. The most common chronic diseases in elderly population are arthritis, hypertension, heart diseases, diabetes, and cognitive impairment. Chronic impairments such as visual, hearing, orthopedic, and speech disorders are also prevalent among older adults. All these chronic conditions have potential oral complications and the treatments of systemic diseases also has implications for the maintenance of oral health. Therefore, oral health care professionals should catch up with increasing knowledge in this field and can modify the treatment strategy for older adults. In addition, oral health care professionals should understand the changing need of oral health problems in this age and prepare the future demand.

• Journal of The Korean Society of Clinical Toxicology
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• v.6 no.2
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• pp.123-129
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• 2008

A 36-year-old female was transferred to our emergency medical center with decreased mental status after a 6.0 g propafenone overdose because of domestic disturbance. She had no previous history of epilepsy, diabetes mellitus, hypertension or psychiatric illness. Before presenting to our center, gastrointestinal decontamination, charcoal administration, and endotracheal intubation due to bradycardia and generalized seizure had been performed. Soon after hospital arrival, at 5 h after ingestion, she collapsed into shock and fatal arrhythmia. We successfully resuscitated the patient with amiodarone, sodium bicarbonate, a large volume of normal saline, calcium, and ventilator care. At 23 h after ingestion, she was fully recovered and had no subjective signs or symptoms. To our knowledge, this is the first case report of intentional propafenone overdose in Korea, which we report with reviews of the previous literature.

• Journal of Cancer Prevention
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• v.23 no.4
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• pp.162-169
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• 2018

$TGF-{\beta}$ signaling plays a tumor suppressive role in normal and premalignant cells but promotes tumor progression during the late stages of tumor development. The $TGF-{\beta}$ signaling pathway is tightly regulated at various levels, including transcriptional and post-translational mechanisms. Ubiquitination of signaling components, such as receptors and Smad proteins is one of the key regulatory mechanisms of $TGF-{\beta}$ signaling. Tripartite motif (TRIM) family of proteins is a highly conserved group of E3 ubiquitin ligase proteins that have been implicated in a variety of cellular functions, including cell growth, differentiation, immune response, and carcinogenesis. Recent emerging studies have shown that some TRIM family proteins function as important regulators in tumor initiation and progression. This review summarizes current knowledge of TRIM family proteins regulating the $TGF-{\beta}$ signaling pathway with relevance to cancer.

• The Korean Journal of Pain
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• v.31 no.4
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• pp.253-260
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• 2018

Background: One of the most frequent problems caused by diabetes is the so called painful diabetic neuropathy. This condition can be treated through numerous types of therapy. The purpose of this study was to analyze, as a meta-analysis, different treatments used to alleviate painful diabetic neuropathy, with the aim of generating results that help making decisions when applying such treatments to tackle this pathology. Methods: A search was conducted in the main databases for Health Sciences, such as PUBMED, Web of Science (WOS), and IME biomedicina (Spanish Medical Reports in Biomedicine), to gather randomized controlled trials about treatments used for painful diabetic neuropathy. The analyzed studies were required to meet the inclusion criteria selected, especially those results related to pain intensity. Results: Nine randomized controlled trials were chosen. The meta-analysis shows significant positive effects for those treatments based on tapentadol [g: -1.333, 95% CI (-1.594; -1.072), P < 0.05], duloxetine [g: -1.622, 95 % CI (-1.650; -1.594), P < 0.05], pregabalin [g: -0.607, 95% CI (-0.980; -0.325), P < 0.05], and clonidine [g: -0.242, 95 % CI (-0.543; -0.058), P < 0.05]. Conclusions: This meta-analysis indicates the effectiveness of the treatments based on duloxetine, gabapentin and pregabalin, as well as other drugs, such as tapentadol and topic clonidine, whose use is better prescribed in more specific situations. The results provided can help increase the knowledge about the treatment of painful diabetic neuropathy and also in the making of clinical practice guidelines for healthcare professionals.

• Genomics & Informatics
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• v.12 no.4
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• pp.181-186
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• 2014

Genome-wide association studies have proven the highly polygenic architecture of complex diseases or traits; therefore, single-locus-based methods are usually unable to detect all involved loci, especially when individual loci exert small effects. Moreover, the majority of associated single-nucleotide polymorphisms resides in non-coding regions, making it difficult to understand their phenotypic contribution. In this work, we studied epistatic interactions associated with three common diseases using Korea Association Resource (KARE) data: type 2 diabetes mellitus (DM), hypertension (HT), and coronary artery disease (CAD). We showed that epistatic single-nucleotide polymorphisms (SNPs) were enriched in enhancers, as well as in DNase I footprints (the Encyclopedia of DNA Elements [ENCODE] Project Consortium 2012), which suggested that the disruption of the regulatory regions where transcription factors bind may be involved in the disease mechanism. Accordingly, to identify the genes affected by the SNPs, we employed whole-genome multiple-cell-type enhancer data which discovered using DNase I profiles and Cap Analysis Gene Expression (CAGE). Assigned genes were significantly enriched in known disease associated gene sets, which were explored based on the literature, suggesting that this approach is useful for detecting relevant affected genes. In our knowledge-based epistatic network, the three diseases share many associated genes and are also closely related with each other through many epistatic interactions. These findings elucidate the genetic basis of the close relationship between DM, HT, and CAD.