Bo-Hyung Kim

Dr. Bo-Hyung Kim

Kyung Hee Univerisity
+1
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2019 in Translational and Clinical Pharmacology
Verified
Journal Article
Open access
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KPKey-Chung Park
Key-Chung Park
HJHui Jin
Hui Jin
RZRenhua Zheng
Renhua Zheng
SKSehyun Kim
Sehyun Kim
SLSeung-Eun Lee
Seung-Eun Lee
Sung-Vin YimSung-Vin Yim
Sung-Vin Yim
Park KC, et al. Transl Clin Pharmacol. 2019 Sep;27(3):92-97. https://doi.org/10.12793/tcp.2019.27.3.92

2 April 2021 in Pharmaceutics
Verified
Journal Article
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SYSaebyul Yoo
Saebyul Yoo
BPBom-I Park
Bom-I Park
DKDo-Hyun Kim
Do-Hyun Kim
SLSooyoung Lee
Sooyoung Lee
SLSeung-Hoon Lee
Seung-Hoon Lee
BKBo-Hyung Kim
Bo-Hyung Kim
Red ginseng (RG) and black ginseng (BG, CJ EnerG) were prepared from fresh ginseng using one and nine cycles of steaming and drying, respectively. This process reduces the molecular weight (MW) of ginsenoside-active compounds in ginseng by removing sugar moieties from their dammaranes. We compared the pharmacokinetic characteristics of ginsenosides between BG comprising mainly low-MW ginsenosides (Rg3, Rg5, Rk1, and Rh1) and RG that predominantly contains high-MW ginsenosides (Rb1, Rb2, Rc, Rd, Re, and Rg1). The safety profiles and tolerability were also studied using a randomized, double-blind, single-dose, crossover clinical trial. A combination of Rb1, Rg1, and Rg3, well-known representative and functional RG components, exhibited a 1 h faster absorption rate (Tmax) and 58% higher exposure (24 h area under the concentration–time curve, AUC24) in BG than in RG. Furthermore, the combination of Rg3, Rg5, and Rk1, the major and most efficient components in BG, displayed 824% higher absorption (AUC24) in BG than in RG. The total ginsenoside showed a 5 h rapid intestinal absorption (Tmax) and 79% greater systemic exposure (AUC24) in BG than in RG. No clinically significant findings were observed in terms of safety or tolerability. Thus, BG extract was more effective than RG extract.

28 May 2020 in Nutrients
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Journal Article
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DMDa-Bin Myung
Da-Bin Myung
JLJeong-Hun Lee
Jeong-Hun Lee
HHHee-Soo Han
Hee-Soo Han
KLKwang-Young Lee
Kwang-Young Lee
HAhyesin an
hyesin an
KLKyung-Tae Lee
Kyung-Tae Lee
Previously, we reported that the hot water extract of Hydrangea serrata leaves (WHS) and its active component, hydrangenol, possess in vitro and in vivo effects on skin wrinkles and moisturization. We conducted a randomized, double-blind, placebo-controlled trial to clinically evaluate the effect of WHS on human skin. Participants (n = 151) were randomly assigned to receive either WHS 300 mg, WHS 600 mg, or placebo, once daily for 12 weeks. Skin wrinkle, hydration, elasticity, texture, and roughness parameters were assessed at baseline and after 4, 8, and 12 weeks. Compared to the placebo, skin wrinkles were significantly reduced in both WHS groups after 8 and 12 weeks. In both WHS groups, five parameters (R1–R5) of skin wrinkles significantly improved and skin hydration was significantly enhanced when compared to the placebo group after 12 weeks. Compared with the placebo, three parameters of skin elasticity, including overall elasticity (R2), net elasticity (R5), and ratio of elastic recovery to total deformation (R7), improved after 12 weeks of oral WHS (600 mg) administration. Changes in skin texture and roughness were significantly reduced in both WHS groups. No WHS-related adverse reactions were reported. Hence, WHS could be used as a health supplement for skin anti-aging.

9 May 2022 in Pharmaceutics
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Journal Article
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SLSooyoung Lee
Sooyoung Lee
MSMOONSIK SONG
MOONSIK SONG
JHJongdae Han
Jongdae Han
DLDonghwan Lee
Donghwan Lee
BKBo-Hyung Kim
Bo-Hyung Kim
Bayesian therapeutic drug monitoring (TDM) software uses a reported pharmacokinetic (PK) model as prior information. Since its estimation is based on the Bayesian method, the estimation performance of TDM software can be improved using a PK model with characteristics similar to those of a patient. Therefore, we aimed to develop a classifier using machine learning (ML) to select a more suitable vancomycin PK model for TDM in a patient. In our study, nine vancomycin PK studies were selected, and a classifier was created to choose suitable models among them for patients. The classifier was trained using 900,000 virtual patients, and its performance was evaluated using 9000 and 4000 virtual patients for internal and external validation, respectively. The accuracy of the classifier ranged from 20.8% to 71.6% in the simulation scenarios. TDM using the ML classifier showed stable results compared with that using single models without the ML classifier. Based on these results, we have discussed further development of TDM using ML. In conclusion, we developed and evaluated a new method for selecting a PK model for TDM using ML. With more information, such as on additional PK model reporting and ML model improvement, this method can be further enhanced.

15 December 2022 in Pharmaceutics
Verified
Journal Article
Open access
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MSMyeong-Bae Shin
Myeong-Bae Shin
SKSung-Ah Kim
Sung-Ah Kim
SLSooyoung Lee
Sooyoung Lee
WSWang Seob Shim
Wang Seob Shim
KLKyung-Tae Lee
Kyung-Tae Lee
BKBo-Hyung Kim
Bo-Hyung Kim
Fermentation of red ginseng (RG) produces fermented red ginseng (FRG), thereby increasing the relative amount of downstream ginsenosides, including compound Y (CY), F2, Rh2, compound K (CK), compound O, protopanaxadiol (PPD), and protopanaxatriol (PPT). These downstream ginsenosides have beneficial pharmacological effects, and are easily absorbed by the human body. Based on these expectations, a randomized, single-dose, two-period, crossover clinical trial was planned to compare the pharmacokinetic characteristics of seven types (Rb1, CY, F2, CK, Rh2, PPD, and PPT) of ginsenoside components after FRG and RG administration. The safety and tolerability profiles were assessed in this clinical trial. Sixteen healthy Korean male subjects were administered 6 g of FRG or RG. All ginsenosides except Rb1 showed higher systemic exposure after FRG administration than after RG administration, based on comparisons of ginsenoside Cmax and area under the concentration–time curve (AUC) between FRG and RG. CK, the main ginsenoside component produced during the fermentation process, had 69.23/74.53-fold higher Cmax/AUClast after administration of FRG than RG, and Rh2 had 20.27/18.47-fold higher Cmax/AUClast after administration of FRG than RG. In addition, CY and F2 were detected in FRG; however, all plasma concentrations of CY and F2, except in one subject, were below the lower limit of quantification in RG. There were no clinically significant findings with respect to clinical laboratory tests, blood pressures, or adverse events. Therefore, regular administration of FRG may exert better pharmacological effects than RG.

19 September 2023 in Journal of Pharmaceutical and Biomedical Analysis
Verified
Journal Article
Closed access
KKKwang-Youl Kim
Kwang-Youl Kim
BKBo-Hyung Kim
Bo-Hyung Kim
WKWon Gun Kwack
Won Gun Kwack
HKHyun-Jung Kwon
Hyun-Jung Kwon
SCSang-Heon Cho
Sang-Heon Cho
CKCheol-Woo Kim
Cheol-Woo Kim