• Journal of Nutrition and Health
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• v.44 no.6
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• pp.577-591
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• 2011

A food exchange system for diabetes is a useful tool for meal planning and nutritional education. The first edition of the Korean food exchange lists was developed in 1988 and the second edition was revised in 1995. With recent changes in the food marketplace and eating patterns of Koreans, the third edition of food exchange lists was revised in 2010 by the Korean Diabetes Association, the Korean Nutrition Society, the Korean Society of Community Nutrition, the Korean Dietetic Association and the Korean Association of Diabetes Dietetic Educators through a joint research effort. The third edition is based on nutritional recommendations for people with diabetes and focuses on adding foods to implement personalized nutrition therapy considering individual preferences in diverse dietary environment. Foods were selected based on scientific evidence including the 2007 Korea National Health and Nutrition Examination Survey data analysis and survey responses from 53 diabetes dietetic educators. While a few foods were deleted, a number of foods were added, with 313 food items in food group lists and 339 food items in the appendix. Consistent with previous editions, the third edition of the food exchange lists included six food categories (grains, meat, vegetables, fats and oils, milk, and fruits). The milk group was subdivided into whole milk group and low fat milk. The standard nutrient content in one exchange from each food group was almost the same as the previous edition. Korea Food & Drug Administration's FANTASY (Food And Nutrient daTA SYstem) database was used to obtain nutrient values for each individual food and to determine the serving size most appropriate for matching reference nutrients values by each food group. The revised food exchange lists were subjected to a public hearing by experts. The third edition of the food exchange lists will be a helpful tool for educating people with diabetes to select the kinds and amounts of foods for glycemic control, which will eventually lead to preventing complications while maintaining the pleasure of eating.

• Journal of Life Science
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• v.33 no.8
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• pp.663-679
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• 2023

This review analyzes research trends related to new drug development using artificial intelligence from 2010 to 2022. This analysis organized the abstracts of 2,421 studies into a corpus, and words with high frequency and high connection centrality were extracted through preprocessing. The analysis revealed a similar word frequency trend between 2010 and 2019 to that between 2020 and 2022. In terms of the research method, many studies using machine learning were conducted from 2010 to 2020, and since 2021, research using deep learning has been increasing. Through these studies, we investigated the trends in research on artificial intelligence utilization by field and the strengths, problems, and challenges of related research. We found that since 2021, the application of artificial intelligence has been expanding, such as research using artificial intelligence for drug rearrangement, using computers to develop anticancer drugs, and applying artificial intelligence to clinical trials. This article briefly presents the prospects of new drug development research using artificial intelligence. If the reliability and safety of bio and medical data are ensured, and the development of the above artificial intelligence technology continues, it is judged that the direction of new drug development using artificial intelligence will proceed to personalized medicine and precision medicine, so we encourage efforts in that field.

• Journal of Life Science
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• v.34 no.5
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• pp.287-295
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• 2024

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related mortality worldwide, necessitating novel therapeutic strategies. The chemotherapeutic agents used to treat HCC patients are toxic and have serious side effects. Therefore, we investigated the efficacy of anticancer drugs that reduce side effects by targeting tumor cells without causing cytotoxicity in healthy hepatocytes. Berberine, an isoquinoline alkaloid derived from plant compounds, has emerged as a potential candidate for cancer treatment due to its diverse pharmacological properties. The effect of berberine on HepG2 cell viability was determined using the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyl tetrazolium bromide assay. HepG2 cell proliferation was determined through a colony-forming assay. The effects of berberine on HepG2 cell migration were evaluated using a wound-healing assay. Berberine inhibited the proliferation of HepG2 cells, as well as colony formation and migration. Berberine treatment increased the expression of autophagy-related genes and proteins, including Beclin-1 and LC3-II, and elevated the activities and mRNA expression of Caspase-9 and Caspase-3. Additionally, in experiments utilizing the Cell-Derived Xenograft animal model, berberine treatment reduced tumor size and weight in a concentration-dependent manner. These results demonstrate the potential of berberine as a versatile anticancer agent with efficacy in both cellular and animal models of hepatocellular carcinoma. The findings herein shed light on berberine's efficacy against HCC, presenting opportunities for targeted and personalized therapeutic interventions.

• The Journal of Korean Medicine
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• v.34 no.3
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• pp.143-152
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• 2013

Objectives: To investigate the relationship between nutrient intakes and blood biochemical parameters of Korean women classified by the Eight Constitutions. Methods: The constitutions of female subjects were determined by the methods of eight constitutional pulse formation. Anthropometric characteristics and blood biochemical parameters including fasting blood glucose (FSB), serum lipid profiles, homocysteine, and insulin were determined. Food frequency questionnaires were used to evaluate the nutrient intake of the subjects. Results: Subjects were classified as Hepatonia 16.8%, Cholecystonia 2.8%, Pancreotonia 58.9%, Pulmotonia 5.1%, Colonotonia 16.4%, respectively. Gastrotonia, Renotonia, and Vesicotonia individuals were not present in this study. BMI, total calorie and fat intakes of the Mok constitutions (Hepatonia and Cholecystonia) were higher than those of the Gum constitutions (Pulmotonia and Colonotonia) (p<0.05). Triglyceride, total cholesterol, and LDL-C concentrations for the Cholecystonia were the highest while those for the Pulmotonia (p<0.05) were lowest, which is in line with the results from nutrient intakes. Conclusions: Total calorie and fat intake among subjects with different constitutions were different. BMI and serum lipid profiles positively associated with calorie and nutrients intakes were significantly higher in Mok constitutions than Gum constitutions. Personalized diet plans seem to be needed for subjects on a special diet due to the individual constitutional differences.

• Clinical and Experimental Pediatrics
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• v.52 no.9
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• pp.984-990
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• 2009

Purpose : Being small for gestational age (SGA) is a risk factor of short stature in children. Genetic background such as mid-parental height (MPH) is known to influence growth of children born SGA. We studied the relationship between growth of children born SGA and MPH and studied the effects of insulin-like growth factor (IGF-I) and insulin-like growth factor binding protein 3 (IGFBP-3) on postnatal growth in children born SGA according to MPH. Methods : Forty-nine neonates born SGA were included in this study. We defined corrected height standard deviation score (cHtSDS) by modified height SDS (HtSDS) based on their MPH. We categorized subjects into group 1 consisting of children with cHtSDS ${\geq}0$ (n=35) and group 2 consisting of children with cHtSDS <0 (n=14), and compared IGF-I and IGFBP-3 between the two groups. Results : The HtSDSs and cHtSDSs in groups 1 and 2 were $0.06{\pm}1.05$ vs. $-0.95{\pm}0.85$ (P=0.000) and $0.78{\pm}0.93$ vs. $-0.46{\pm}0.67$ (P=0.000), respectively. IGF-I SDS was higher in group 1 than in group 2 ($2.82{\pm}3.69$ vs. $0.23{\pm}2.42$, P=0.012). Total cHtSDS ($0.42{\pm}1.03$) was significantly higher than HtSDS ($-0.22{\pm}1.10$) (P=0.000). Conclusion : Our results show that cHtSDS differs significantly from HtSDS. Growth assessment by standardized growth curve does not uniformly show effects of genetic factors. A more accurate assessment of growth uses a personalized corrected growth curve that considers the genetic factor measured by MPH.

• The Korean Journal of Physiology and Pharmacology
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• v.17 no.6
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• pp.479-484
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• 2013

Given the CYP3A4 and CYP3A5's impact on the efficacy of drugs, the genetic backgrounds of individuals and populations are regarded as an important factor to be considered in the prescription of personalized medicine. However, genetic studies with Korean population are relatively scarce compared to those with other populations. In this study, we aimed to identify CYP3A4/5 polymorphisms and compare the genotype distributions among five ethnicities. To identify CYP3A4/5 SNPs, we first performed direct sequencing with 288 DNA samples which consisted of 96 Koreans, 48 European-Americans, 48 African-Americans, 48 Han Chinese, and 48 Japanese. The direct sequencing identified 15 novel SNPs, as well as 42 known polymorphisms. We defined the genotype distributions, and compared the allele frequencies among five ethnicities. The results showed that minor allele frequencies of Korean population were similar with those of the Japanese and Han Chinese populations, whereas there were distinct differences from European-Americans or African-Americans. Among the pharmacogenetic markers, frequencies of $CYP3A4^*1B$ (rs2740574) and $CYP3A5^*3C$ (rs776742) in Asian groups were different from those in other populations. In addition, minor allele frequency of $CYP3A4^*18$ (rs28371759) was the highest in Korean population. Additional in silico analysis predicted that two novel non-synonymous SNPs in CYP3A5 (+27256C>T, P389S and +31546T>G, I488S) could alter protein structure. The frequency distributions of the identified polymorphisms in the present study may contribute to the expansion of pharmacogenetic knowledge.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3357-3362
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• 2013

The human skeleton is the most common organ to be affected by metastatic cancer and bone metastases are a major cause of cancer morbidity. The five most frequent cancers in Malaysia among males includes prostate whereas breast cancer is among those in females, both being associated with skeletal lesions. Bone metastases weaken bone structure, causing a range of symptoms and complications thus developing skeletal-related events (SRE). Patients with SRE may require palliative radiotherapy or surgery to bone for pain, having hypercalcaemia, pathologic fractures, and spinal cord compression. These complications contribute to a decline in patient healthrelated quality of life. The multidimensional assessment of health-related quality of life for those patients is important other than considering a beneficial treatment impact on patient survival, since the side effects of treatment and disease symptoms can significantly impact health-related quality of life. Cancer treatment could contribute to significant financial implications for the healthcare system. Therefore, it is essential to assess the health-related quality of life and treatment cost, among prostate and breast cancer patients in countries like Malaysia to rationalized cost-effective way for budget allocation or utilization of health care resources, hence helping in providing more personalized treatment for cancer patients.

• KSBB Journal
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• v.24 no.4
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• pp.410-414
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• 2009

Single-nucleotide polymorphisms (SNPs) are the DNA sequences difference among the same species in the level of nucleic acids and are widely applied in clinical fields such as personalized medicine. The routine and labor-intensive methods to determine SNPs are performing the sequence homology search by using BLAST and navigating the trace of chromatogram files generated by high-throughput DNA sequencing machine by using Chromas program. In this paper, we developed SNPchaser, a web-based program for detecting SNPs substitution and heterozygosity existence, to improve the labor-intensive method in determining SNPs. SNPchaser performed sequence alignment and visualized the suspected region of SNPs by using user's reference sequence, AB1 files, and positional information of SNPs. It simultaneously provided the results of sequences alignment and chromatogram of relevant area of SNPs to user. In addition, SNPchaser can easily determine existence of heterozygosity in SNPs area. SNPchaser is freely accessible via the web site http://www.bioinformatics.ac.kr/SNPchaser and the source codes are available for academic research purpose.

• Korean Chemical Engineering Research
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• v.57 no.4
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• pp.445-454
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• 2019

Layered double hydroxides (LDHs) nanoparticles have emerged as novel nanomaterials for bio-imaging applications due to its unique layered structure, physicochemical properties, and good biocompatibility. Bio-imaging is one of the most important fields for medical applications in clinical diagnostics and therapeutics of various diseases. Enhanced diagnostic techniques are needed to realize new paradigm for next-generation personalized medicine through nanoscale materials. When nanotechnology is introduced into bio-imaging system, nanoparticle probes can endow imaging techniques with enhanced ability to obtain information about biological system at the molecular level. In this review, we summarize structural features of LDH nanoparticles with current issues of bio-imaging system. LDH nanoparticle probes are also discussed through in vitro as well as in vivo studies in various bio-imaging techniques including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and computed X-ray tomography (CT), which will have the potential in the development of the advanced nanoparticles with high sensitivity and selectivity.

• Nutrition Research and Practice
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• v.15 no.3
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• pp.367-381
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• 2021

BACKGROUND/OBJECTIVES: This study aimed to establish a mother and child cohort in the Chinese population, and investigate human breastmilk (HBM) composition and its relationship with maternal body mass index (BMI) and infant growth during the first 3 mon of life. SUBJECTS/METHODS: A total of 101 Chinese mother and infant pairs were included in this prospective cohort. Alterations in the milk macronutrients of Chinese mothers at 1 mon (T1), 2 mon (T2), and 3 mon (T3) lactation were analyzed. HBM fatty acid (FA) profiles were measured by gas chromatography (GC), and HBM proteomic profiling was achieved by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS). RESULTS: During the first 3 mon of lactation (P < 0.05), significant decreases were determined in the levels of total energy, fat, protein, and osteopontin (OPN), as well as ratios of long-chain saturated FA (including C16:0, C22:0 and C24:0), monounsaturated FA (including C16:1), and n-6 poly unsaturated FA (PUFA) (including C20:3n-6 and C20:4n-6, and n-6/n-3). Conversely, butyrate, C6:0 and n-3 PUFA C18:3n-3 (α-linolenic acid, ALA) were significantly increased during the first 3 mon (P < 0.05). HBM proteomic analyses distinguished compositional protein differences over time (P = 0.001). Personalized motherinfant analyses demonstrated that HBM from high BMI mothers presented increased total energy, fat, protein and OPN, and increased content of n-6 PUFA (including C18:3n-6, C20:3n-6 and n-6/n-3 ratio) as compared with low BMI mothers (P < 0.05). Furthermore, BMI of the mothers positively correlated with the head circumference (HC) of infants as well as the specific n-6 PUFA C20:3n-6 over the 3 time points examined. Infant HC was negatively associated with C18:0. CONCLUSION: This study provides additional evidence to the Chinese HBM database, and further knowledge of FA function. It also helps to establish future maternal strategies that support the healthy growth and development of Chinese infants.