Recent advances in physiologically based pharmacokinetic and pharmacodynamic models for anticancer nanomedicines

被引:12
作者
Byun, Jong Hyuk [1 ]
Han, Dong-Gyun [2 ]
Cho, Hyun-Jong [3 ]
Yoon, In-Soo [2 ]
Jung, Il Hyo [1 ]
机构
[1] Pusan Natl Univ, Coll Nat Sci, Dept Math, Busan 46241, South Korea
[2] Pusan Natl Univ, Coll Pharm, Dept Mfg Pharm, Busan 46241, South Korea
[3] Kangwon Natl Univ, Coll Pharm, Dept Pharm, Chunchon 24341, South Korea
基金
新加坡国家研究基金会;
关键词
Nanoparticles; Anticancer; PBPK model; PD model; ADME; TUMOR VASCULAR-PERMEABILITY; DRUG-DELIVERY; LIPOSOMAL DOXORUBICIN; MATHEMATICAL-MODEL; ANTITUMOR-ACTIVITY; GROWTH INHIBITION; PROTEIN CORONA; PK/PD MODEL; TIME-COURSE; NANOPARTICLES;
D O I
10.1007/s12272-020-01209-2
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Nanoparticles (NPs) have distinct pharmacokinetic (PK) properties and can potentially improve the absorption, distribution, metabolism, and elimination (ADME) of small-molecule drugs loaded therein. Owing to the unwanted toxicities of anticancer agents in healthy organs and tissues, their precise delivery to the tumor is an essential requirement. There have been numerous advancements in the development of nanomedicines for cancer therapy. Physiologically based PK (PBPK) models serve as excellent tools for describing and predicting the ADME properties and the efficacy and toxicity of drugs, in combination with pharmacodynamic (PD) models. The recent preliminary application of these modeling approaches to NPs demonstrated their potential benefits in research and development processes relevant to the ADME and pharmacodynamics of NPs and nanomedicines. Here, we comprehensively review the pharmacokinetics of NPs, the developed PBPK models for anticancer NPs, and the developed PD model for anticancer agents.
引用
收藏
页码:80 / 99
页数:20
相关论文
共 152 条
[1]  
Ahmed E., 2012, Fract. Calc. Appl. Anal., V3, P1
[2]   Utility of a Novel Three-Dimensional and Dynamic (3DD) Cell Culture System for PK/PD Studies: Evaluation of a Triple Combination Therapy at Overcoming Anti-HER2 Treatment Resistance in Breast Cancer [J].
Ande, Anusha ;
Vaidya, Tanaya R. ;
Tran, Bao N. ;
Vicchiarelli, Michael ;
Brown, Ashley N. ;
Ait-Oudhia, Sihem .
FRONTIERS IN PHARMACOLOGY, 2018, 9
[3]   Biodegradation and biocompatibility of PLA and PLGA microspheres [J].
Anderson, JM ;
Shive, MS .
ADVANCED DRUG DELIVERY REVIEWS, 1997, 28 (01) :5-24
[4]   Continuous Time Random Walks with Reactions Forcing and Trapping [J].
Angstmann, C. N. ;
Donnelly, I. C. ;
Henry, B. I. .
MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 2013, 8 (02) :17-27
[5]   FRACTIONAL ORDER COMPARTMENT MODELS [J].
Angstmann, Christopher N. ;
Erickson, Austen M. ;
Henry, Bruce I. ;
McGann, Anna V. ;
Murray, John M. ;
Nichols, James A. .
SIAM JOURNAL ON APPLIED MATHEMATICS, 2017, 77 (02) :430-446
[6]  
[Anonymous], 2012, Drug Discov Today Technol, V9, pe71, DOI 10.1016/j.ddtec.2011.11.010
[7]   Targeted drug delivery to tumors: Myths, reality and possibility [J].
Bae, You Han ;
Park, Kinam .
JOURNAL OF CONTROLLED RELEASE, 2011, 153 (03) :198-205
[8]   Sentinel lymph node imaging using quantum dots in mouse tumor models [J].
Ballou, Byron ;
Ernst, Lauren A. ;
Andreko, Susan ;
Harper, Theresa ;
Fitzpatrick, James A. J. ;
Waggoner, Alan S. ;
Bruchez, Marcel P. .
BIOCONJUGATE CHEMISTRY, 2007, 18 (02) :389-396
[9]   Optimizing drug regimens in cancer chemotherapy: a simulation study using a PK-PD model [J].
Barbolosi, D ;
Iliadis, A .
COMPUTERS IN BIOLOGY AND MEDICINE, 2001, 31 (03) :157-172
[10]   AGE-STRUCTURED AND 2-DELAY MODELS FOR ERYTHROPOIESIS [J].
BELAIR, J ;
MACKEY, MC ;
MAHAFFY, JM .
MATHEMATICAL BIOSCIENCES, 1995, 128 (1-2) :317-346