Kiyohiko Sugano

Prof. Kiyohiko Sugano

Molecular Pharmaceutics Lab., College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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2 August 2020 in ChemMedChem
Verified
Journal Article
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LDLi Di
Li Di
PAPer Artursson
Per Artursson
AAAlex Avdeef
Alex Avdeef
LBLeslie Zachary Benet
Leslie Zachary Benet
JHJ. Brian Houston
J. Brian Houston
KSKiyohiko Sugano
Kiyohiko Sugano

1 September 2015 in Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
PDF file
KSKiyohiko Sugano
Kiyohiko Sugano
KTKatsuhide Terada
Katsuhide Terada


1 September 2020 in Molecular Pharmaceutics
Verified
Journal Article
Closed access
MOMaaya Omori
Maaya Omori
TWTomohiro Watanabe
Tomohiro Watanabe
TUTaiga Uekusa
Taiga Uekusa
JOJumpei Oki
Jumpei Oki
Daisuke InoueDaisuke Inoue
Daisuke Inoue
KSKiyohiko Sugano
Kiyohiko Sugano

22 February 2019 in Molecular Pharmaceutics
Verified
Journal Article
Closed access
JOJumpei Oki
Jumpei Oki
DWDaiju Watanabe
Daiju Watanabe
TUTaiga Uekusa
Taiga Uekusa
KSKiyohiko Sugano
Kiyohiko Sugano

3 September 2020 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
NMNaoya Matsumura
Naoya Matsumura
AOAsami Ono
Asami Ono
YAYoshiyuki Akiyama
Yoshiyuki Akiyama
TFTakuya Fujita
Takuya Fujita
KSKiyohiko Sugano
Kiyohiko Sugano
In this study, we systematically evaluated “bottom-up” physiologically based oral absorption modeling, focusing on free weak base drugs. The gastrointestinal unified theoretical framework (the GUT framework) was employed as a simple and transparent model. The oral absorption of poorly soluble free weak base drugs is affected by gastric pH. Alternation of bulk and solid surface pH by dissolving drug substances was considered in the model. Simple physicochemical properties such as pKa, the intrinsic solubility, and the bile micelle partition coefficient were used as input parameters. The fraction of a dose absorbed (Fa) in vivo was obtained by reanalyzing the pharmacokinetic data in the literature (15 drugs, a total of 85 Fa data). The AUC ratio with/without a gastric acid-reducing agent (AUCr) was collected from the literature (22 data). When gastric dissolution was neglected, Fa was underestimated (absolute average fold error (AAFE) = 1.85, average fold error (AFE) = 0.64). By considering gastric dissolution, predictability was improved (AAFE = 1.40, AFE = 1.04). AUCr was also appropriately predicted (AAFE = 1.54, AFE = 1.04). The Fa values of several drugs were slightly overestimated (less than 1.7-fold), probably due to neglecting particle growth in the small intestine. This modeling strategy will be of great importance for drug discovery and development.