Hong-Jaan Wang

Dr. Hong-Jaan Wang

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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1 January 2020 in European Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
RLRen-Jong Liang
Ren-Jong Liang
YSYin-Ning Shih
Yin-Ning Shih
YCYen-Lun Chen
Yen-Lun Chen
WLWei-Yang Liu
Wei-Yang Liu
WYWan-Ling Yang
Wan-Ling Yang
HWHong-Jaan Wang
Hong-Jaan Wang

14 September 2022 in Journal of Food and Drug Analysis
Verified
Journal Article
Open access
PDF file
RLRen-Jong Liang
Ren-Jong Liang
Shu-Hao HsuShu-Hao Hsu
Shu-Hao Hsu
TCTien-Yu Chang
Tien-Yu Chang
TCTzu-Yi Chiang
Tzu-Yi Chiang
HWHong-Jaan Wang
Hong-Jaan Wang
YUYune-Fang Ueng
Yune-Fang Ueng
Herbal medicines have been widely used for the past millennia. Traditional Chinese medicine (TCM) is a major modality in Chinese medical care and has garnered global attention owing to its pharmacological effects and multi-targeted actions. The increased incidence of sequential or concurrent use of herbs and drugs in patients forces us to consider herb-drug interactions (HDIs) in this modern era. One of the main causes of HDIs is modulation of drug metabolism, in which cytochrome P450 (CYP), UDP-glucuronosyltransferase (UGT), and transporters play primary roles. In this review, we focus on in vivo studies of HDIs, particularly in the treatment of cardiovascular disease (CVD), which is currently the leading cause of disease-related mortality worldwide. A total of 55 HDIs are summarized, and their potential underlying mechanisms are examined. The pharmacokinetic (PK) and pharmacodynamic (PD) effects of three single herbs (Danshen, Ginseng, and Ginkgo) and four compound prescriptions (Shenmai injection, Shengmai-San, Shu-Jing-Hwo-Shiee-Tang, and Wu-Chu-Yu-Tang) are discussed. Due to the complex compositions and PK/PD profiles of TCMs, the determinants of significant HDIs have been listed to further define the pros and cons of HDIs in medical care.

1 May 2021 in Journal of Ethnopharmacology
Verified
Journal Article
Closed access
TCTzu-Yi Chiang
Tzu-Yi Chiang
HWHong-Jaan Wang
Hong-Jaan Wang
YWYen-Cih Wang
Yen-Cih Wang
ETElise Chia-Hui Tan
Elise Chia-Hui Tan
ILI-Jung Lee
I-Jung Lee
YUYune-Fang Ueng
Yune-Fang Ueng

1 September 2021 in Biomedicine & Pharmacotherapy
Verified
Journal Article
Open access
Shu-Hao HsuShu-Hao Hsu
Shu-Hao Hsu
ACAn-Chun Cheng
An-Chun Cheng
TCTien-Yu Chang
Tien-Yu Chang
LPLi-Heng Pao
Li-Heng Pao
CHCheng-Huei Hsiong
Cheng-Huei Hsiong
HWHong-Jaan Wang
Hong-Jaan Wang
Hepatic clearance has been widely studied for over 50 yr. Many models have been developed using either theoretical or empirical tests to predict drug metabolism. The well-stirred, parallel-tube, and dispersion metabolic models have been extensively discussed. However, to our knowledge, these models cannot fully describe all relevant scenarios in hepatic clearance. We addressed this issue using the isolated perfused rat liver technique with minor modifications. Diazepam was selected to illustrate different levels of drug plasma-protein binding by changing the added concentration of human serum albumin. The free fractions of diazepam at different albumin concentrations were assayed by rapid equilibrium dialysis. The experimental data provide new insights concerning an accepted formula used to describe hepatic clearance. Regarding drug concentrations passing through the liver, the driving force concentration (CH,ss) in terms of Cin (influx in the liver) or Cout (efflux from the liver) needs to be carefully considered when determining drug hepatic and intrinsic clearances. The newly established model, termed the modified well-stirred model, which was derived from the original formula, successfully estimated hepatic drug metabolism. Using the modified well-stirred model, a theoretical driving force concentration of diazepam passing through the liver was evaluated. The model was further used to assess the predictability of in vitro to in vivo extrapolation. This study was not intended to refute the existing models, but rather to augment them using experimental data. The results stress the importance of proper calculation of dose when the drug clearance deviates from the prediction of the well-stirred model.

24 June 2023 in Archives of Biochemistry and Biophysics
Verified
Journal Article
Closed access
SGSarah M. Glass
Sarah M. Glass
YTYasuhiro Tateishi
Yasuhiro Tateishi
FGF. Peter Guengerich
F. Peter Guengerich
HWHong-Jaan Wang
Hong-Jaan Wang

2 January 2019 in Pharmaceutical Research
Verified
Journal Article
Closed access
PDF file
WCWei-Ching Chen
Wei-Ching Chen
PHPei-Wei Huang
Pei-Wei Huang
WYWan-Ling Yang
Wan-Ling Yang
YCYen-Lun Chen
Yen-Lun Chen
YSYing-Ning Shih
Ying-Ning Shih
HWHong-Jaan Wang
Hong-Jaan Wang