• International Journal of Oncology
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• v.54 no.2
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• pp.753-763
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• 2019

The mutation of isocitrate dehydrogenase (IDH)1 (R132H) and IDH2 (R172K) and the induction of hypoxia in various solid tumors results in alterations in metabolic profiles, including the production of the d- or l-forms of 2-hydroxyglutarate (2HG) from α-ketoglutarate in aerobic metabolism in the tricarboxylic acid (TCA) cycle. However, it is unclear whether the oncometabolite d-2HG increases angiogenesis in endothelial cells. Therefore, in this study, we analyzed the levels of various metabolites, including d-2HG, under hypoxic conditions and in IDH2R172K mutant breast cancer cells by mass spectrometry. We then further evaluated the effects of this metabolite on angiogenesis in breast cancer cells. The results revealed that treatment with d-2HG increased the levels of secreted vascular endothelial growth factor (VEGF) in cancer cells and enhanced endothelial cell proliferation in a concentration-dependent manner. Wound healing and cell migration (examined by Transwell assay) were significantly increased by d-2HG to a level similar to that induced by VEGF. Tube formation was significantly stimulated by d-2HG, and chick chorioallantoic membrane angiogenesis was also enhanced by d-2HG. d-2HG activated VEGF receptor (VEGFR)2 and VEGFR2 downstream signaling, extracellular signal-regulated kinase 1/2, focal adhesion kinase, AKT and matrix metalloproteinase (MMP)2. Taken together, the findings of this study suggested that d-2HG induced angiogenic activity via VEGFR2 signaling and increased MMP2 activity.

• Mass Spectrometry Letters
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• v.9 no.2
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• pp.41-45
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• 2018

Ginseng (Panax ginseng Meyer) has been used as traditional herbal drug in Asian countries. Ginsenosides are major components having pharmacological and biological efficacy like anti-inflammatory, anti-diabetic and anti-tumor effects. To control the quality of the components in diverse ginseng products, we developed a new quantitative method using LC-MS/MS for 13 ginsenosides; Rb1, Rb2, Rc, Rd, Re, Rf, 20(S)-Rh1, 20(S)-Rh2, Rg1, 20(S)-Rg3, F1, F2, and compound K. This method was successfully validated for linearity, precision, and accuracy. This quantification method applied in four representative ginseng products; fresh ginseng powder, white ginseng powder, red ginseng extract powder, and red ginseng extract. Here the amounts of the 13 ginsenosides in the various type of ginseng samples could be analyzed simultaneously and expected to be suitable for quality control of ginseng products.

• Mass Spectrometry Letters
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• v.11 no.2
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• pp.30-35
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• 2020

Schisandra chinensis is a traditional herbal medicine that is widely spread in Korea, Japan, and China. The fruits of S. chinensis Bailon, known as omija in Korea, have traditionally been used for the treatment of coughs, fatigues, and insomnia. Up to now, there have been several reports for the identification of major lignan compounds and their quantitation in S. chinensis extracts. To the best of our knowledge, however, there is no report on the analysis of lignans in omija wine and omija cheong (sugared omija or omija sugar syrup). In the present study, seven dibenzocyclooctadiene lignans (gomisin A, gomisin B, gomisin C, gomisin N, schisandrin, deoxyschisandrin, and wuweizisu C) in omija wine and omija cheong were analyzed and quantitated using liquid chromatography-tandem mass spectrometry. Among seven lignans, pharmacologically active gomisin A, schisandrin, and deoxyschisandrin, which are major components in fruits of S. chinensis, were the most abundant lignans in omija wine and cheong. The content of lignan in omija wine was in the order: schisandrin > gomisin A > deoxyschisandrin > gomisin N > gomisin B > gomisin C > wuweizisu C. The concentration of deoxyschisandrin and gomisin N in omija wine was approximately 2.0- and 6.0-fold higher than for omija cheong. Additionally, this study provided a systematic identification of lignans in omija wine and cheong and indicated that the omija wine and cheong might be of value for their dietary application.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.10a
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• pp.8-8
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• 2017

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.8_spc
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• pp.1321-1330
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• 2019

Recent development of novel techniques in systems biology have been used to improve and manipulate the rumen microbial ecosystem and gain a deeper understanding of its physiological and microbiological interactions and relationships. This provided a deeper insight and understanding of the relationship and interactions between the rumen microbiome and the host animal. New high-throughput techniques have revealed that the dominance of Proteobacteria in the neonatal gut might be derived from the maternal placenta through fetal swallowing of amniotic fluid in utero, which gradually decreases in the reticulum, omasum, and abomasum with increasing age after birth. Multi "omics" technologies have also enhanced rumen fermentation and production efficiency of dairy goats using dietary interventions through greater knowledge of the links between nutrition, metabolism, and the rumen microbiome and their effect in the environment. For example, supplementation of dietary lipid, such as linseed, affects rumen fermentation by favoring the accumulation of ${\alpha}$-linolenic acid biohydrogenation with a high correlation to the relative abundance of Fibrobacteriaceae. This provides greater resolution of the interlinkages among nutritional strategies, rumen microbes, and metabolism of the host animal that can set the foundation for new advancements in ruminant nutrition using multi 'omics' technologies.

• Journal of Preventive Medicine and Public Health
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• v.54 no.4
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• pp.259-264
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• 2021

Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the "black-box" aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.

• BMB Reports
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• v.56 no.1
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• pp.43-48
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• 2023

Pre-clinical models are critical in gaining mechanistic and biological insights into disease progression. Recently, patient-derived organoid models have been developed to facilitate our understanding of disease development and to improve the discovery of therapeutic options by faithfully recapitulating in vivo tissues or organs. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze experimental results. In this review, we summarize the recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.

• Communications for Statistical Applications and Methods
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• v.29 no.6
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• pp.655-664
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• 2022

On the motivation by an integrative study of multi-omics data, we are interested in estimating the structure of the sparse cross correlation matrix of two high-dimensional random vectors. We rewrite the problem as a multiple testing problem and propose a new method to estimate the sparse structure of the cross correlation matrix. To do so, we test the correlation coefficients simultaneously and threshold the correlation coefficients by controlling FRD at a predetermined level α. Further, we apply the proposed method and an alternative adaptive thresholding procedure by Cai and Liu (2016) to the integrative analysis of the protein expression data (X) and the mRNA expression data (Y) in TCGA breast cancer cohort. By varying the FDR level α, we show that the new procedure is consistently more efficient in estimating the sparse structure of cross correlation matrix than the alternative one.

• Toxicological Research
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• v.33 no.1
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• pp.25-30
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• 2017

Saccharin, the first artificial sweetener, was discovered in 1879 that do not have any calories and is approximately 200~700 times sweeter than sugar. Saccharin was the most common domestically produced sweetener in Korea in 2010, and it has been used as an alternative to sugar in many products. The interaction between artificial sweeteners and drugs may affect the drug metabolism in patients with diabetes, cancer, and liver damage, this interaction has not been clarified thus far. Here, we examined the effects of the potential saccharin-drug interaction on the activities of 5 cytochrome P450 (CYPs) in male ICR mice; further, we examined the effects of saccharin (4,000 mg/kg) on the pharmacokinetics of bupropion after pretreatment of mice with saccharin for 7 days and after concomitant administration of bupropion and saccharin. Our results showed saccharin did not have a significant effect on the 5 CYPs in the S9 fractions obtained from the liver of mice. In addition, we observed no differences in the pharmacokinetic parameters of bupropion between the control group and the groups pretreated with saccharin and that receiving concomitant administration of saccharin. Thus, our results showed that saccharin is safe and the risk of saccharin-drug interaction is very low.

• Mass Spectrometry Letters
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• v.7 no.4
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• pp.106-110
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• 2016

Ginseng, a traditional herbal drug, has been used in Eastern Asia for more than 2000 years. Various ginsenosides, which are the major bioactive components of ginseng products, have been shown to exert numerous beneficial effects on the human body when co-administered with drugs. However, this may give rise to ginsenoside-drug interactions, which is an important research consideration. In this study, acassette assay was performed the inhibitory effects of 12 ginsenosides on seven cytochrome P450 (CYP) isoforms in human liver microsomes (HLMs) using LC-MS/MS to predict the herb-drug interaction. After incubation of the 12 ginsenosides with seven cocktail CYP probes, the generated specific metabolites were quantified by LC-MS/MS to determine their activities. Ginsenoside Rb1 and F2 showed strong selective inhibitory effect on CYP2C9-catalyzed diclofenac 4'-hydroxylation and CYP2B6-catalyzed bupropion hydroxylation, respectively. Ginsenosides Rd showed weak inhibitory effect on the activities of CYP2B6, 2C9, 2C19, 2D6, 3A4, and compound K, while ginsenoside Rg3 showed weak inhibitory effects on CYP2B6. Other ginsenosides, Rc, Rf, Rg1, Rh1, Rf, and Re did not show significant inhibitory effects on the activities of the seven CYPs in HLM. Owing to the poor absorption of ginsenosides after oral administration in vivo, ginsenosides may not have significant side effects caused by interaction with other drugs.