Distinguishing Pharmacokinetics of Marketed Nanomedicine Formulations Using a Stable Isotope Tracer Assay
Open accessAbstract
The pharmacokinetics of nanomedicines are complicated by the unique dispositional characteristics of the drug carrier. Most simplistically, the carrier could be a solubilizing platform that allows administration of a hydrophobic drug. Alternatively, the carrier could be stable and release the drug in a controlled manner, allowing for distribution of the carrier to influence distribution of the encapsulated drug. A third potential dispositional mechanism is carriers that are not stably complexed to the drug, but rather bind the drug in a dynamic equilibrium, similar to the binding of unbound drug to protein; since the nanocarrier has distributional and binding characteristics unlike plasma proteins, the equilibrium binding of drug to a nanocarrier can affect pharmacokinetics in unexpected ways, diverging from classical protein binding paradigms. The recently developed stable isotope tracer ultrafiltration assay (SITUA) for nanomedicine fractionation is uniquely suited for distinguishing and comparing these carrier/drug interactions. Here we present the the encapsulated, unencapsulated, and unbound drug fraction pharmacokinetic profiles in rats for marketed nanomedicines, representing examples of controlled release (doxorubicin liposomes, Doxil; and doxorubicin HCl liposome generic), equilibrium binding (paclitaxel cremophor micelle solution, Taxol generic), and solubilizing (paclitaxel albumin nanoparticle, Abraxane; and paclitaxel polylactic acid micelle, Genexol-PM) nanomedicine formulations. The utility of the SITUA method in differentiating these unique pharmacokinetic profiles and its potential for use in establishing generic nanomedicine bioequivalence are discussed.
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Bioequivalence analysis by two one-sided t-test revealed that Abraxane and Genexol PM were bioequivalent in total drug pharmacokinetic parameters.
“Bioequivalence analysis by statistical analysis (two one-sided t-test) revealed that the Abraxane® and Genexol® PM formulations were bioequivalent in total drug PK parameters.”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [247]
The Results (page unavailable) say Abraxane and Genexol-PM had no significant differences in total-drug PK parameters in rats and describe their total-drug PK as equivalent. But the Statistics section (page unavailable) specifies Student’s t test or one-way ANOVA with Tukey’s posthoc test, not a two one-sided t-test. The paper also says the products lack bioequivalence testing, so its rat PK comparison does not establish bioequivalence by the claimed analysis. (LLM, conf=0.91)
Experimental — accuracy not yet measuredThe study demonstrated that doxorubicin (DOXIL and Sun Pharma) and paclitaxel (Abraxane and Genexol PM) nanoformulations had comparable encapsulated, unencapsulated, and unbound pharmacokinetic parameters.
“They demonstrated that both doxorubicin (DOXIL® and Sun Pharma’s formulation) and paclitaxel (Abraxane® and Samyang’s Genexol® PM) nanoformulations had comparable encapsulated/unencapsulated/unbound PK parameters.”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [247]
The Results (page not provided) describe the doxorubicin formulations’ encapsulated, unencapsulated, and unbound PK parameters as very similar, though some differed significantly. They also describe Abraxane and Genexol-PM’s unencapsulated and unbound parameters as very similar. The claim overreaches for encapsulated paclitaxel PK: encapsulated drug was not observed for Abraxane and was observed only at the earliest time point for Genexol-PM. (LLM, conf=0.88)
Experimental — accuracy not yet measuredFor the Taxol formulation, Cremophor EL micelles bind in rapid equilibrium with unbound drug; this binding was observed as an increase in protein binding that correlated with formulation concentration and influenced paclitaxel pharmacokinetics by decreasing clearance and volume of distribution.
“This was the case for the SITUA when it was applied to the Taxol formulation in which Cremophor EL micelles bind in rapid equilibrium with unbound drug; this Cremophor EL micelle binding was observed as an increase in protein binding that correlated with formulation concentration, and influenced paclitaxel PK by decreasing both clearance and volume of”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [247]
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Experimental — accuracy not yet measuredSITUA enables analysis of drug subpopulations derived from nanomedicines in systemic circulation in pharmacokinetic studies and can also be used clinically.
“This approach enables the analysis of the aforementioned subpopulations of drugs derived from nanomedicines in the systemic circulation in PK studies and can also be used clinically [247].”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [247]
In a recent study, SITUA was applied to analyze pharmacokinetic profiles of several clinically approved nanomedicines and their generic or nanosimilar formulations, some lacking bioequivalence testing.
“In a recent study, the authors applied the SITUA method to analyze the PK profiles of several clinically approved nanomedicines and their generic or nanosimilar formulations, some of which lack bioequivalence testing.”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [247]
The generic Taxol formulation showed marked differences in key pharmacokinetic parameters compared to Abraxane and Genexol PM.
“However, the generic Taxol formulation did show some marked differences in key PK parameters when compared to Abraxane® and Genexol® PM.”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [247]
The SITUA method developed by the NCL has potential to probe complex PK behaviors of nano-based pharmaceuticals and can provide strong evidence for similarity of two nanomedicines.
“For example, the SITUA method (See section 4.2) developed by the NCL has shown the potential to probe the complex PK behaviors of nano-based pharmaceuticals [247]. This kind of analysis can provide strong evidence for the similarity of two nanomedicines.”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [247]
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Cites
Stable isotope method to measure drug release from nanomedicines
Skoczen, S., McNeil, S. E., & Stern, S. T. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.10.042 · Cited by 45 · see citing works
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Flagged first, then by citations
Research works printed but not linked: 25
- Ambardekar V. V., and Stern S. T. (2015) NBCD Pharmacokinetics and Drug Release Methods, in Non-Biological Complex Drugs; The Science and the Regulatory Landscape (Crommelin D. J. A., and de Vlieger J. S. B., Eds.) 1st ed., pp 261–287, Springer International Publishing.. [Google Scholar]
- Stern S. T.; Martinez M. N.; Stevens D. M. (2016) When Is It Important to Measure Unbound Drug in Evaluating Nanomedicine Pharmacokinetics?. Drug Metab. Dispos. 44, 1934–1939. 10.1124/dmd.116.073148. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Chao A.; Tsay P. K.; Lin S. H.; Shau W. Y.; Chao D. Y. (2001) The applications of capture-recapture models to epidemiological data. Stat Med. 20, 3123–3157. 10.1002/sim.996. [DOI] [PubMed] [Google Scholar] · DOI
- Schellekens R. C.; Stellaard F.; Woerdenbag H. J.; Frijlink H. W.; Kosterink J. G. (2011) Applications of stable isotopes in clinical pharmacology. Br. J. Clin. Pharmacol. 72, 879–897. Erratum in: Br J Clin Pharmacol. (2013) 75, 1171.). 10.1111/j.1365-2125.2011.04071.x. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Skoczen S. L.; Stern S. T. (2018) Improved Ultrafiltration Method to Measure Drug Release from Nanomedicines Utilizing a Stable Isotope Tracer. Methods Mol. Biol. 1682, 223–239. 10.1007/978-1-4939-7352-1_19. [DOI] [PubMed] [Google Scholar] · DOI
- Lee H. B.; Blaufox M. D. (1985) Blood volume in the rat. J. Nucl. Med. 26, 72–76. [PubMed] [Google Scholar]
- Siegal T.; Horowitz A.; Gabizon A. (1995) Doxorubicin encapsulated in sterically stabilized liposomes for the treatment of a brain tumor model: biodistribution and therapeutic efficacy. J. Neurosurg. 83, 1029–1037. 10.3171/jns.1995.83.6.1029. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Sparreboom A.; Scripture C. D.; Trieu V.; Williams P. J.; De T.; Yang A.; Beals B.; Figg W. D.; Hawkins M.; Desai N. (2005) Comparative preclinical and clinical pharmacokinetics of a cremophor-free, nanoparticle albumin-bound paclitaxel (ABI-007) and paclitaxel formulated in Cremophor (Taxol). Clin. Cancer Res. 11, 4136–4143. 10.1158/1078-0432.CCR-04-2291. [DOI] [PubMed] [Google Scholar] · DOI
- Deitchman A. N.; Singh R. S. P.; Derendorf H. (2018) Nonlinear Protein Binding: Not What You Think. J. Pharm. Sci. 107, 1754–1760. 10.1016/j.xphs.2018.03.023. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Liu Z.; Bi Y.; Sun Y.; Hao F.; Lu J.; Meng Q.; Lee R. J.; Tian Y.; Xie J. (2017) Pharmacokinetics of a liposomal formulation of doxorubicin in rats. Saudi Pharm. J. 25, 531–536. 10.1016/j.jsps.2017.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Anders C. K.; Adamo B.; Karginova O.; Deal A. M.; Rawal S.; Darr D.; Schorzman A.; Santos C.; Bash R.; Kafri T.; Carey L.; Miller C. R.; Perou C. M.; Sharpless N.; Zamboni W. C. (2013) Pharmacokinetics and efficacy of PEGylated liposomal doxorubicin in an intracranial model of breast cancer. PLoS One 8, e61359. 10.1371/journal.pone.0061359. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Rahman A.; Carmichael D.; Harris M.; Roh J. K. (1986) Comparative pharmacokinetics of free doxorubicin and doxorubicin entrapped in cardiolipin liposomes. Cancer Res. 46, 2295–2299. [PubMed] [Google Scholar]
- Schmidt S.; Gonzalez D.; Derendorf H. (2010) Significance of protein binding in pharmacokinetics and pharmacodynamics. J. Pharm. Sci. 99, 1107–1122. 10.1002/jps.21916. [DOI] [PubMed] [Google Scholar] · DOI
- Jamis-Dow C. A.; Klecker R. W.; Katki A. G.; Collins J. M. (1995) Metabolism of taxol by human and rat liver in vitro: a screen for drug interactions and interspecies differences. Cancer Chemother. Pharmacol. 36, 107–114. 10.1007/BF00689193. [DOI] [PubMed] [Google Scholar] · DOI
- Kasai T.; Oka M.; Soda H.; Tsurutani J.; Fukuda M.; Nakamura Y.; Kawabata S.; Nakatomi K.; Nagashima S.; Takatani H.; Fukuda M.; Kinoshita A.; Kohno S. (2002) Phase I and pharmacokinetic study of paclitaxel and irinotecan for patients with advanced non-small cell lung cancer. Eur. J. Cancer 38, 1871–1878. 10.1016/S0959-8049(02)00231-9. [DOI] [PubMed] [Google Scholar] · DOI
- Vigano L.; Locatelli A.; Grasselli G.; Gianni L. (2001) Drug interactions of paclitaxel and docetaxel and their relevance for the design of combination therapy. Invest. New Drugs 19, 179–196. 10.1023/A:1010691218625. [DOI] [PubMed] [Google Scholar] · DOI
- Jameson G. S.; Borazanci E.; Babiker H. M.; Poplin E.; Niewiarowska A. A.; Gordon M. S.; Barrett M. T.; Rosenthal A.; Stoll-D’Astice A.; Crowley J.; Shemanski L.; Korn R. L.; Ansaldo K.; Lebron L.; Ramanathan R. K.; Von Hoff D. D. (2020) Response Rate Following Albumin-Bound Paclitaxel Plus Gemcitabine Plus Cisplatin Treatment Among Patients With Advanced Pancreatic Cancer: A Phase 1b/2 Pilot Clinical Trial. JAMA Oncol 6, 125–132. (Erratum in JAMA Oncol. 2019;5(11):1643. doi:10.1001/jamaoncol.2019.5486) 10.1001/jamaoncol.2019.3394. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Desai N.; Trieu V.; Yao Z.; Louie L.; Ci S.; Yang A.; Tao C.; De T.; Beals B.; Dykes D.; Noker P.; Yao R.; Labao E.; Hawkins M.; Soon-Shiong P. (2006) Increased antitumor activity, intratumor paclitaxel concentrations, and endothelial cell transport of cremophor-free, albumin-bound paclitaxel, ABI-007, compared with cremophor-based paclitaxel. Clin. Cancer Res. 12, 1317–1324. 10.1158/1078-0432.CCR-05-1634. [DOI] [PubMed] [Google Scholar] · DOI
- Giordano G.; Pancione M.; Olivieri N.; Parcesepe P.; Velocci M.; Di Raimo T.; Coppola L.; Toffoli G.; D’Andrea M. R. (2017) Nano albumin bound-paclitaxel in pancreatic cancer: Current evidences and future directions. World J. Gastroenterol 23, 5875–5886. 10.3748/wjg.v23.i32.5875. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Borga O.; Lilienberg E.; Bjermo H.; Hansson F.; Heldring N.; Dediu R. (2019) Pharmacokinetics of Total and Unbound Paclitaxel After Administration of Paclitaxel Micellar or Nab-Paclitaxel: An Open, Randomized, Cross-Over, Explorative Study in Breast Cancer Patients. Adv. Ther. 36, 2825–2837. 10.1007/s12325-019-01058-6. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Hidalgo M.; Plaza C.; Musteanu M.; Illei P.; Brachmann C. B.; Heise C.; Pierce D.; Lopez-Casas P. P.; Menendez C.; Tabernero J.; Romano A.; Wei X.; Lopez-Rios F.; Von Hoff D. D. (2015) SPARC Expression Did Not Predict Efficacy of nab-Paclitaxel plus Gemcitabine or Gemcitabine Alone for Metastatic Pancreatic Cancer in an Exploratory Analysis of the Phase III MPACT Trial. Clin. Cancer Res. 21, 4811–4818. 10.1158/1078-0432.CCR-14-3222. [DOI] [PubMed] [Google Scholar] · DOI
- Kim H.; Samuel S.; Lopez-Casas P.; Grizzle W.; Hidalgo M.; Kovar J.; Oelschlager D.; Zinn K.; Warram J.; Buchsbaum D. (2016) SPARC-Independent Delivery of Nab-Paclitaxel without Depleting Tumor Stroma in Patient-Derived Pancreatic Cancer Xenografts. Mol. Cancer Ther. 15, 680–688. 10.1158/1535-7163.MCT-15-0764. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Dubach J. M.; Kim E.; Yang K.; Cuccarese M.; Giedt R. J.; Meimetis L. G.; Vinegoni C.; Weissleder R. (2017) Quantitating drug-target engagement in single cells in vitro and in vivo. Nat. Chem. Biol. 13, 168–173. 10.1038/nchembio.2248. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Wang H.; Zheng M.; Gao J.; Wang J.; Zhang Q.; Fawcett J. P.; He Y.; Gu J. (2020) Uptake and release profiles of PEGylated liposomal doxorubicin nanoparticles: A comprehensive picture based on separate determination of encapsulated and total drug concentrations in tissues of tumor-bearing mice. Talanta 208, 120358. 10.1016/j.talanta.2019.120358. [DOI] [PubMed] [Google Scholar] · DOI
- He H.; Yuan D.; Wu Y.; Cao Y. (2019) Pharmacokinetics and Pharmacodynamics Modeling and Simulation Systems to Support the Development and Regulation of Liposomal Drugs. Pharmaceutics 11, 110. 10.3390/pharmaceutics11030110. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
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Hwang, D., Ramsey, J. D., & Kabanov, A. V. (2020) · Advanced drug delivery reviews · doi:10.1016/j.addr.2020.09.009 · Cited by 699 · see citing works
“2) developed by the NCL has shown the potential to probe the complex PK behaviors of nano-based pharmaceuticals [247].”
BackgroundMethodInfluentialA reanalysis of nanoparticle tumor delivery using classical pharmacokinetic metrics
Price, L. S. L., Stern, S. T., Deal, A. M., Kabanov, A. V., & Zamboni, W. C. (2020) · Science Advances · doi:10.1126/sciadv.aay9249 · Cited by 128 · see citing works
Self-citation
- Authors
- Skoczen, S. L., Snapp, K. S., Crist, R. M., Kozak, D., Jiang, X., Liu, H., & Stern, S. T.
- Affiliations
- Leidos Biomedical Research Inc. (United States) (US)
- United States Food and Drug Administration (US)
- Nanotechnology Characterization Laboratory, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory, Frederick, Maryland 21702, United States
- Venue
- ACS Pharmacology & Translational Science
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-03-13
- Volume
- 3
- Issue
- 3
- Pages
- 547-558
- ISSN
- 2575-9108 (ISSN-L)
- PMC
- PMC7296544
- OpenAlex
- W3012542984
- Cited by
- 31
- References
- 1
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 7 · 2023: 4 · 2022: 3 · 2021: 6 · 2020: 4
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- ACS Pharmacology & Translational Science (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (HHSN2612008000001E)
- U.S. Food and Drug Administration (HHSN26100024, HHSN261201500003I)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Drug Solubulity and Delivery Systems
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
- Keywords
- controlled release, binding equilibrium, drug solubilization, liposomal doxorubicin
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