• Journal of Society of Preventive Korean Medicine
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• v.21 no.2
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• pp.1-13
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• 2017

Objectives : This paper serves to explore current trends of systems biology in Traditional Chinese Medicine (TCM) and examine how it may influence the Traditional Korean medicine. Methods : Literature review method was collectively used to classify Introduction to systems biology, diagnosis and syndrome classification of systems biology in TCM perspective, physiotherapy including acupuncture, herbs and formula functions, TCM systems biology, and directions of academic development. Results : The term 'Systems biology' is coined as a combination of systems science and biology. It is a field of study that tries to understand living organism by establishing a theory based on an ideal model that analyzes and predicts the desired output with understanding of interrelationships and dynamics between variables. Systems biology has an integrated and multi-dimensional nature that observes the interaction among the elements constructing the network. The current state of systems biology in TCM is categorized into 4 parts: diagnosis and syndrome, physical therapy, herbs and formulas and academic development of TCM systems biology and its technology. Diagnosis and syndrome field is focusing on developing TCM into personalized medicine by clarifying Kidney yin deficiency patterns and metabolic differences among five patterns of diabetes and analyzing plasma metabolism and biomarkers of coronary heart disease patients. In the field of physical therapy such as acupuncture and moxibustion, researchers discovered the effect of stimulating acupoint ST40 on gene expression and the effects of acupuncture on treating functional dyspepsia and acute ischemic stroke. Herbs and formulas were analyzed with TCM network pharmacology. The therapeutic mechanisms of Si Wu Tang and its series formulas are explained by identifying potential active substances, targets and mechanism of action, including metabolic pathways of amino acid and fatty acid. For the academic development of TCM systems biology and its technology, it is necessary to integrate massive database, integrate pharmacokinetics and pharmacodynamics, as well as systems biology. It is also essential to establish a platform to maximize herbal treatment through accumulation of research data and diseases-specific, or drug-specific network combined with clinical experiences, and identify functions and roles of molecules in herbs and conduct animal-based studies within TCM frame. So far, few literature reviews exist for systems biology in traditional Korean medicine and they merely re-examine known efficacies of simple substances, herbs and formulas. For the future, it is necessary to identify specific mechanisms of working agents and targets to maximize the effects of traditional medicine modalities. Conclusions : Systems biology is widely accepted and studied in TCM and already advanced into a field known as 'TCM systems biology', which calls for the study of incorporating TCM and systems biology. It is time for traditional Korean medicine to acknowledge the importance of systems biology and present scientific basis of traditional medicine and establish the principles of diagnosis, prevention and treatment of diseases. By doing so, traditional Korean medicine would be innovated and further developed into a personalized medicine.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.21 no.1
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• pp.22-27
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• 2021

Propionic acidemia (PA) is an inherited autosomal recessive disorder, due to the deficiency of propionyl-CoA carboxylase (PCC). PCC is the enzyme which catalyzes the conversion of propionyl-CoA to D-methylmalonyl-CoA, and it is critical for the metabolism of amino acids, odd-chain fatty acids, and side chains of cholesterol. The clinical manifestations present mostly at the neonatal period with life-threatening metabolic acidosis and hyperammonemia. Here, we described a case of a 16-year-old Korean boy with late-onset PA who presented with embolic cerebral infarction due to dilated cardiomyopathy (DCMP) with left ventricular noncompaction. And he has family history of sudden cardiac death, so we performed metabolic screening and genetic tests. Elevated levels of 3-hydroxypropionic acid, methylcitric acid and propionylglycerine were detected in urine. Plasma acylcarnitine profile showed elevated propionylcarnitine (C3). Diagnosis of PA was confirmed by genetic analysis, which revealed compound heterozygous mutations, c.[1151T>G] (p.[Phe384Cys]) and c.[1228C>T] (p.[Arg410Trp]) in PCCB gene. His heart function is in improving state and the results of biochemical analysis are stable with heart failure medication and metabolic managements. We present a case of patient without episodes of metabolic decompensation who manifests DCMP as the first symptom of PA.

• Journal of Life Science
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• v.21 no.1
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• pp.155-158
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• 2011

Uncoupling protein (UCP) 3 has a number of proposed roles in the regulation of fatty acid metabolism. A number of polymorphisms in the human UCP3 gene have been identified, and the correlation with obesity related phenotypes evaluated. The objective of this study was to identify SNP in porcine UCP3 gene and to investigate the effect of the SNP on economic traits. The sequencing analysis method was used to identify nucleotide polymorphisms at position 1405 bp (Genebank accession No : AY739704) in porcine UCP3 gene. The SNP (G150R), located in the exon 3, changed the amino acid to glycine (GGG) from arginine (AGG). This G150R showed three genotypes - GG, GR and RR - by digestion with the restriction enzyme Sma Ⅰ using the PCR-RFLP method. The G150R showed significant effects only on back fat (P<0.05). Animals with the genotype GG had significantly higher back fat thickness (1.358 cm) than animals with the genotype GR (1.288 cm, P<0.05) and RR (1.286 cm, P<0.05). However, the genotypes had no significant association with ADG and days to 90kg. According to results of this study, a G allele of the G150R was found to have a significant effect on back fat thickness. It will be possible to use SNP markers on selected pigs to improve backfat thickness, an important economic trait.

• The Korean Journal of Nuclear Medicine Technology
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• v.14 no.1
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• pp.143-146
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• 2010

Purpose: Insulin is involved in carbohydrate metabolism and also it's very important because it increases storage of glycogen, synthesis of fatty acids, absorption of amino acid, synthesis of protein. Insulin is clinically useful when we evaluate fasting patients in hypoglycemia, classify and predict diabetes, assess the activity of ${\beta}$-cell, research insulin resistance. We are going to increase usability of insulin assay by establishing normal reference value according to statistical analysis. Material & Method: We selected 6,648 patients who visited asan health medical center from May to August in 2008. We set exclusion criteria as family of diabetes, diabetes medication, the past history of blood glucose rise, more than 100 mg/dL in normal fasting blood glucose, outside the scope of BMI 18.5~22.9 $kg/m^2$, and more than HbA1c 6.5%. We determine whether the subgroup is portioned as sex and age or not and establish normal reference value by conducting statistical analysis as Bayesian's method and Hoffman's method. Result: Portioning of subgroup as sex and age is not needed. By statistical analysis of Bayesian method, results 1.5-11.0 uIU/mL. By statistical analysis of Hoffman method, results 1.8~12.8 uIU/mL. Conclusion: We established 1.8~12.8 uIU/mL as Insulin normal reference value by Hoffman method. This is a similar value with reporting reference value 1.7~11.8 uIU/mL in kit. This will enhance the usability of insulin assay by establishing normal reference value.