Next Article in Journal
Composite Cryogel with Polyelectrolyte Complexes for Growth Factor Delivery
Next Article in Special Issue
High Molecular Weight Chitosan-Complexed RNA Nanoadjuvant for Effective Cancer Immunotherapy
Previous Article in Journal
PLGA-BMP-2 and PLA-17β-Estradiol Microspheres Reinforcing a Composite Hydrogel for Bone Regeneration in Osteoporosis
Previous Article in Special Issue
Population Pharmacokinetics of Cis-, Trans-, and Total Cefprozil in Healthy Male Koreans
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Noninvasive Assessment of Exosome Pharmacokinetics In Vivo: A Review

1
College of Pharmacy, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea
2
Department of Biomedical Sciences, Graduate School, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea
3
Department of Chemical and Biological Engineering, Korea National University of Transportation, Chungju, Chungbuk 27469, Korea
4
Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Jeonbuk 56212, Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Pharmaceutics 2019, 11(12), 649; https://doi.org/10.3390/pharmaceutics11120649
Submission received: 10 November 2019 / Revised: 30 November 2019 / Accepted: 1 December 2019 / Published: 3 December 2019

Abstract

:
Exosomes, intraluminal vesicles that contain informative DNA, RNA, proteins, and lipid membranes derived from the original donor cells, have recently been introduced to therapy and diagnosis. With their emergence as an alternative to cell therapy and having undergone clinical trials, proper analytical standards for evaluating their pharmacokinetics must now be established. Molecular imaging techniques such as fluorescence imaging, magnetic resonance imaging, and positron emission tomography (PET) are helpful to visualizing the absorption, distribution, metabolism, and excretion of exosomes. After exosomes labelled with a fluorescer or radioisotope are administered in vivo, they are differentially distributed according to the characteristics of each tissue or lesion, and real-time biodistribution of exosomes can be noninvasively monitored. Quantitative analysis of exosome concentration in biological fluid or tissue samples is also needed for the clinical application and industrialization of exosomes. In this review, we will discuss recent pharmacokinetic applications to exosomes, including labelling methods for in vivo imaging and analytical methods for quantifying exosomes, which will be helpful for evaluating pharmacokinetics of exosomes and improving exosome development and therapy.

Graphical Abstract

1. Introduction

Exosomes are intraluminal vesicles released by cells when multivesicular endosomes fuse with the cellular plasma membranes [1,2]. They contain lipid membranes, nucleic acids, and proteins derived from the original donor cells, circulate in body fluids, and deliver their cargo to the recipient cells, resulting in intercellular communication [3,4]. As exosomes contain informational cargo from the original donor cells and exist in tissues as well as bodily fluids including blood, urine, and saliva, they possess diagnostic potential [5,6,7]. Researchers have been using analytical tools such as mass spectrometry and proteomic profiling to find specific exosomal biomarkers [8,9].
In addition, exosomes have shown their potential as an alternative to cell therapy, supported by data indicating the therapeutic feasibility and safety of exosomes in preclinical and clinical studies. Dendritic cell (DC)-derived exosomes containing major histocompatibility complex/peptide and activating T cell immune response were tested as vaccines against metastatic melanoma and non-small-cell lung cancer in clinical trials [10,11,12]. Combinations of exosomes isolated from ascites containing tumor antigens with immune-stimulatory adjuvants were also investigated in clinical trials involving advanced colorectal cancer patients [13,14]. Recently, stem-cell-derived exosomes have been developed to target cardiovascular, diabetic, graft-versus-host, neurological, and orthopedic diseases [15,16,17]. Plant-derived exosomes have also undergone clinical tests for delivery of curcumin [18,19].
For efficient preclinical and clinical tests, pharmacokinetic properties need to be examined from the early stage of exosome-based drug development. In the preclinical phase, exosome-based drug candidates are administered to laboratory animals by the expected clinical route of administration, and their absorption, distribution, metabolism, and excretion (ADME) can be checked by using fluorescence labelling or radiolabeling of exosomes [20]. Methods for quantifying metabolites in blood, tissue, and urine also should be established [21]. As shown in Table 1, calculation of pharmacokinetic parameters such as volume of distribution, clearance, and absorption or elimination rate constant will be helpful to predict the toxicity and efficacy of exosome-based drug candidates [22]. Exosome concentration in tissues over time depends on exosome concentration in blood, and the time course of exosome concentration in blood is affected by the dose and route of administration [23,24].
In this review, we will discuss the pharmacokinetic approach to exosomes, labelling methods for in vivo imaging, and analytical methods for quantifying exosomes. A review of recent applications of pharmacokinetics will be helpful for evaluating pharmacokinetics of exosomes and improving exosome development and therapy.

2. ADME of Exosomes

Membrane transport plays an important role in absorption, secretion, or excretion of exosomes. In in vitro transport studies, milk exosomes penetrate Caco-2 cells and rat small intestinal epithelial cells by endocytosis, with the help of glycoproteins on the surface of exosomes and epithelial cells [25]. There are various views on the detailed mechanism of exosome endocytosis [27]. Uptake of exosomes into PC12 cells is inhibited by potassium ion depletion for blocking clathrin-coated pits, implying receptor-mediated endocytosis in cellular uptake of exosomes [28]. Oligodendrocyte-derived exosomes suspended in extracellular fluid may be internalized into microglia through macropinocytosis that does not require binding to the specific receptor [29]. Phagocytic cells, such as macrophages, engulf exosomes via PI3-kinase-dependent phagocytosis, and then the exosome-containing phagosomes fuse with lysosomes [30]. Moreover, it was reported that exosomes penetrate the nasal mucosa through the olfactory pathway and directly enter the brain by bypassing the blood–brain barrier [31,32]. Active transport of human ovarian carcinoma-derived exosomes across lymphatic endothelial cells has also been shown in vitro, where the lymphatic transport was supported by the presence of exosomes in the lymph nodes after intradermal injection in mice [33].
After being absorbed at the administration site and transferred to the systemic circulation, exosomes pass blood–tissue barriers and arrive in each tissue [34]. Exosomes injected into the veins of mice are mainly distributed in the organs with a mononuclear phagocyte system (MPS) such as the liver, spleen, lungs, and kidneys, so macrophage-derived exosomes can improve targeting of MPS organs [26,35,36,37]. In a Parkinson’s disease mouse model, distribution of exosomes to the brain was due to the interaction with cerebral microvascular endothelial cells that were enhanced in the inflamed brain [26]. Tissue distribution of exosomes is related to its therapeutic efficacy and safety issues, such as accumulation in tissues and side effects [38]. When unmodified exosomes were intravenously injected into 4T1-bearing mice, they mainly accumulated in the liver and spleen, with limited accumulation in the lungs and kidneys as well as little accumulation in the tumor tissue [39]. Thus, there is a need for exosomes to be excreted after staying at the target site for the required time and for minimizing exosome transition to other off-target organs. In recent years, research on exosomes with targeting ligands has been actively conducted [40,41]. To realize mouse brain-targeting small interfering RNA cargo, exosomes were isolated from DCs expressing neuron-specific rabies viral glycoprotein peptide cloned into an exosome membrane protein [40]. Exosomes can be modified to allow for specific binding to breast cancer cells expressing an epidermal growth factor receptor by plasmid transfection [41].
After exosomes that reach the site of action are internalized by the recipient cells, their cargo should work at the cytosolic space without being trapped in endosomes and degraded by acidic pH or hydrolases [42]. Tumor-derived exosomes modified with a pH-sensitive fusogenic peptide showed improved cargo delivery to the cytosol and class I tumor antigen presentation [43]. Folate-displaying exosomes have been reported to deliver their cargo siRNA to the cytosol through membrane fusion, and show better gene silencing efficiency than that of folate-conjugated siRNA without exosomes [44].
Absorbed exosomes will be eliminated from the body through metabolism and excretion. There are several reports on analysis of metabolites from exosomal proteins, RNAs, and lipid membranes. The exosome metabolome contains nucleotides, nucleosides, carboxylic acids, amino acids, sugars, cyclic alcohols, carnitines, vitamins, and lipids (fatty acids, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, and prenol lipids) [45,46,47]. After cellular uptake, the cargo released from exosomes will undergo the endocytic pathway (Figure 1) consisting of early endosomes, late endosomes, and lysosomes, resulting in breaking down or recycling [48,49].
Among other organs, the kidneys, liver, and spleen, where fixed macrophages stay, have been reported to be most closely associated with clearance of exosomes. This is supported by results that pretreatment of clodronate to deplete Kupffer cells in the liver and red pulp macrophages in the spleen significantly reduce clearance of exosomes in mice [23].

3. Recent Applications of Pharmacokinetics

In addition to existing approaches based on compartment models, there have been reports of predicting ADME, efficacy, and toxicity of drugs by applying physiologically based pharmacokinetic (PBPK) modeling [50]. The PBPK model should consist of predefined organs or tissues in connection with physiological, physicochemical, and biochemical parameters, such as blood flow, organ volume, and clearance, in order to calculate drug concentration in blood and concentration changes in each organ or tissue according to time [51]. Using PBPK models, pharmacokinetic data can be extrapolated from one animal species to another animal species or humans (Scheme 1), and we can determine the safety levels of the drug [52]. Recently, the PBPK model and pharmacokinetic simulation have been applied to liposomal drug development, which would contribute to evaluation of exosomal disposition and the physiological impact of exosomal cargo [53].
Analytical methods for exosomes circulating in body fluids and accumulated in each tissue or organ also need to be developed and validated for phenotypic screening and optimizing individual dosage regimens, because of variations in ADME of exosomes between patients due to individual genetic variations [54,55]. Molecular imaging techniques such as fluorescence imaging, magnetic resonance imaging, single photon emission computed tomography (SPECT), and positron emission tomography (PET) enable us to observe ADME of exosomes [56].

4. Methods of Exosome Labeling for Pharmacokinetic Study

4.1. Fluorescent Labeling of Exosomes

Fluorescent labeling is useful for whole body imaging of exosomes, because we can detect fluorescence emission in response to the excitation light of a specific wavelength time-efficiently and noninvasively [57]. Near-infrared (NIR) dyes such as indocarbocyanine analogs have been used for tracking lipid membrane of exosomes in mice with minimal autofluorescence of biological tissue and high tissue penetration in a spectral range of 700–900 nm [58,59]. However, lipid labeling with fluorescent dyes may lead to inaccurate measurement of the half-life of labeled exosomes due to the longer fluorescent signal of the free lipophilic dye released from exosomes in vivo. Quenching of fluorescence caused by aggregated dyes should be carefully validated, too [60].

4.2. Luminescent Labeling of Exosomes

Luminescent labeling and bioluminescence imaging of exosomes using the enzyme reaction also have been reported. Exosomes could be labeled with a fusion protein of Gaussia luciferase and lactadherin (gLuc-lactadherin) by transfecting the original donor cells with a plasmid expressing gLuc-lactadherin, and tissue distribution of exosomes following intravenous injection in mice was evaluated through bioluminescence detection [35]. Combining Gaussia luciferase with a biotin acceptor domain created a multimodal imaging reporter with accurate spatiotemporal resolution for labeling exosomes [61]. RNA cargo and exosome membranes were monitored with multiplex reporters that were engineered by fusion of an enhanced green fluorescence protein and a tandem dimer Tomato [62]. CD63, one of the tetraspanin markers of exosomes tagged with the green fluorescent protein, can also be used for imaging of exosomes in an orthotopic nude-mouse model [63].

4.3. Radiolabeling of Exosomes

Even though fluorescence labeling is a convenient tool, labeling with radioisotopes enables more quantitative detection of exosomes in deep organs. A method for circumventing the problem of a decreased luminescent signal from gLuc-lactadherin in vivo was found by binding 125I-labeled biotin derivatives and exosomes from B16BL6 cells transfected with a streptavidin–lactadherin plasmid, which enabled dual imaging [64]. Tissue distribution of exosomes was quantitatively evaluated by measuring the radioactivity with a gamma counter.
Labeling of erythrocyte-derived exosomes using a 99mTc-tricarbonyl complex showed stability in mice after intravenous administration and SPECT/CT imaging [65]. Exosome-mimetic nanovesicles labeled with 99mTc-hexamethylpropyleneamineoxime, an uncharged lipophilic radiotracer converted to the hydrophilic form by intracellular glutathione, were reported to show high serum stability and uptake by the liver and spleen [66]. In addition, radiolabeling of exosome membrane with 111In via chelation was compared with labeling using a 111In-tropolone complex diffused into the exosomal lumen, and was applied in biodistribution analysis in mice [67].
Labeling of exosomes with positron-emitting radioisotopes will be helpful for obtaining images with better contrast and spatial resolution by using PET [68]. 64Cu-chelation and PEGylation of exosomes enhance detectability and tumor retention in tumor-bearing mice [69].

5. Techniques for Quantitative Analysis of Exosomes

Currently, various techniques have been developed as biological assays of surface markers and internal contents of exosomes. Western blotting, enzyme-linked immunosorbent assay (ELISA), and fluorescence-activated cell sorting (FACS) by flow cytometry can be used for analysis of exosomal surface proteins [70,71,72]. For commercialization as an ELISA kit, at least a pg/mL (pM) level of sensitivity, approximately three digits of dynamic range, and a coefficient of variation below 5% are required [73]. Cytokine array, ELISA, multiplex system, liquid chromatography (LC), mass spectrometry (MS), quantitative polymerase chain reaction, miRNA array, and capillary electrophoresis are techniques for analysis of internal contents and RNA profiling of exosomes.
More than 4600 proteins, including proteins from cytosol, plasma membrane, Golgi apparatus, and endoplasmic reticulum, are associated with exosomes. They are proteins involved in membrane transport and fusion (GTPase and annexin), tetraspanin proteins (CD9, CD63, CD81, and CD82), heat shock proteins, proteins involved in in vivo synthesis of a multivesicular body (Alix and TSG101), cytoskeleton proteins (actin, tubulin, and syntenin), lipid-related proteins, and phospholipid hydrolase. Analysis of these proteins can play an important role in pharmacokinetic analysis of exosomes, as exosomes express characteristic proteins that reflect the type of the original cells.
The yield of exosomes obtained from 400 μL of serum samples is known to be 15–18 μg in terms of total protein (quantified by using the Bradford assay) and 10–15 μg in terms of total nucleic acid. When applying existing techniques such as LC-MS/MS, Western blotting, FACS by flow cytometry, and immunoelectron microscopy using immunogold labeling to detect and quantitate exosome-related proteins, it is necessary to optimize assays for pharmacokinetic studies on exosomes [74,75,76].
By using analytical method validation that scientifically proves that the probability of determination error due to errors in an analytical method falls within the acceptable range, it is possible to verify that each analytical method shows results consistent with its intended purpose as well as reproducibility and reliability. That is, parameters such as linearity for the concentration of exosomes in a certain range of samples and minimum detectable concentration (detection limit) of exosomes in the sample should be evaluated. Some techniques need pretreatment or extraction to quantify exosomes in tissues, organs, or body fluids. Background noise should also be overcome to obtain a sufficient signal-to-noise ratio [77,78].
Physical characteristics of labeled exosomes should also be checked for quality control [79]. Nanoparticle tracking analysis and tunable resistive pulse sensing allow for measurement of the diameter, surface charge, and number of exosomes [80,81]. Raman spectroscopy provides structural information non-destructively with a small amount of samples [82], and the detectability can be improved by surface-enhanced Raman spectroscopy [83]. Recently, microfluidics with several types of sensors have also been developed for analysis of exosomes [84,85,86].

6. Conclusions

Recently, there has been an explosive rise in studies of the clinical application of exosomes. Molecular imaging accompanied by labeling techniques provides an ADME profile of exosome-based therapy. Recent analytical methods and pharmacokinetic modeling can be used for quantifying exosome concentration in tissue or blood samples and calculating pharmacokinetic parameters. At this point, analytical standard guidelines on pharmacokinetic evaluation of exosomes require urgent attention. It will enable us to predict the therapeutic efficacy and toxicity of exosomes in a clinical setting.

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (grant number NRF-2016R1D1A1B03933693) and the Ministry of Science and ICT (MIST) (grant numbers NRF-2019R1F1A1057702, NRF-2019R1A4A1024116, and NRF-2018R1D1A1A09083269).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Yanez-Mo, M.; Siljander, P.R.; Andreu, Z.; Zavec, A.B.; Borras, F.E.; Buzas, E.I.; Buzas, K.; Casal, E.; Cappello, F.; Carvalho, J.; et al. Biological properties of extracellular vesicles and their physiological functions. J. Extracell. Vesicles 2015, 4, 27066. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Colombo, M.; Raposo, G.; Thery, C. Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Annu. Rev. Cell Dev. Biol. 2014, 30, 255–289. [Google Scholar] [CrossRef] [PubMed]
  3. Vlassov, A.V.; Magdaleno, S.; Setterquist, R.; Conrad, R. Exosomes: Current knowledge of their composition, biological functions, and diagnostic and therapeutic potentials. Biochim. Biophys. Acta (BBA)-Gen. Subj. 2012, 1820, 940–948. [Google Scholar] [CrossRef] [PubMed]
  4. van der Pol, E.; Boing, A.N.; Harrison, P.; Sturk, A.; Nieuwland, R. Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol. Rev. 2012, 64, 676–705. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Nilsson, J.; Skog, J.; Nordstrand, A.; Baranov, V.; Mincheva-Nilsson, L.; Breakefield, X.O.; Widmark, A. Prostate cancer-derived urine exosomes: A novel approach to biomarkers for prostate cancer. Br. J. Cancer 2009, 100, 1603–1607. [Google Scholar] [CrossRef]
  6. Mitchell, P.J.; Welton, J.; Staffurth, J.; Mason, M.D.; Tabi, Z.; Clayton, A. Can urinary exosomes act as treatment response markers in prostate cancer? J. Transl. Med. 2009, 7, 4. [Google Scholar] [CrossRef] [Green Version]
  7. Palanisamy, V.; Sharma, S.; Deshpande, A.; Zhou, H.; Gimzewski, J.; Wong, D.T. Nanostructural and transcriptomic analyses of human saliva derived exosomes. PLoS ONE 2010, 5, e8577. [Google Scholar] [CrossRef] [Green Version]
  8. Pisitkun, T.; Shen, R.F.; Knepper, M.A. Identification and proteomic profiling of exosomes in human urine. Proc. Natl. Acad. Sci. USA 2004, 101, 13368–13373. [Google Scholar] [CrossRef] [Green Version]
  9. Kalra, H.; Adda, C.G.; Liem, M.; Ang, C.S.; Mechler, A.; Simpson, R.J.; Hulett, M.D.; Mathivanan, S. Comparative proteomics evaluation of plasma exosome isolation techniques and assessment of the stability of exosomes in normal human blood plasma. Proteomics 2013, 13, 3354–3364. [Google Scholar] [CrossRef]
  10. Zitvogel, L.; Regnault, A.; Lozier, A.; Wolfers, J.; Flament, C.; Tenza, D.; Ricciardi-Castagnoli, P.; Raposo, G.; Amigorena, S. Eradication of established murine tumors using a novel cell-free vaccine: Dendritic cell derived exosomes. Nat. Med. 1998, 4, 594–600. [Google Scholar] [CrossRef]
  11. Escudier, B.; Dorval, T.; Chaput, N.; Andre, F.; Caby, M.P.; Novault, S.; Flament, C.; Leboulaire, C.; Borg, C.; Amigorena, S.; et al. Vaccination of metastatic melanoma patients with autologous dendritic cell (DC) derived-exosomes: Results of thefirst phase I clinical trial. J. Transl. Med. 2005, 3, 10. [Google Scholar] [CrossRef] [Green Version]
  12. Morse, M.A.; Garst, J.; Osada, T.; Khan, S.; Hobeika, A.; Clay, T.M.; Valente, N.; Shreeniwas, R.; Sutton, M.A.; Delcayre, A.; et al. A phase I study of dexosome immunotherapy in patients with advanced non-small cell lung cancer. J. Transl. Med. 2005, 3, 9. [Google Scholar] [CrossRef] [Green Version]
  13. Wolfers, J.; Lozier, A.; Raposo, G.; Regnault, A.; Thery, C.; Masurier, C.; Flament, C.; Pouzieux, S.; Faure, F.; Tursz, T.; et al. Tumor-derived exosomes are a source of shared tumor rejection antigens for CTL cross-priming. Nat. Med. 2001, 7, 297–303. [Google Scholar] [CrossRef]
  14. Dai, S.; Wei, D.; Wu, Z.; Zhou, X.; Wei, X.; Huang, H.; Li, G. Phase I clinical trial of autologous ascites-derived exosomes combined with GM-CSF for colorectal cancer. Mol. Ther. 2008, 16, 782–790. [Google Scholar] [CrossRef]
  15. Newton, W.; Kim, J.; Luo, J.; Luo, L. Stem cell derived exosomes: A novel vector for tissue repair and diabetic therapy. J. Mol. Endocrinol. 2017, 59, R155–R165. [Google Scholar] [CrossRef] [Green Version]
  16. Heldring, N.; Mager, I.; Wood, M.J.; Le Blanc, K.; Andaloussi, S.E. Therapeutic potential of multipotent mesenchymal stromal cells and their extracellular vesicles. Hum. Gene Ther. 2015, 26, 506–517. [Google Scholar] [CrossRef]
  17. Le Blanc, K.; Frassoni, F.; Ball, L.; Locatelli, F.; Roelofs, H.; Lewis, I.; Lanino, E.; Sundberg, B.; Bernardo, M.E.; Remberger, M.; et al. Mesenchymal stem cells for treatment of steroid-resistant, severe, acute graft-versus-host disease: A phase II study. Lancet 2008, 371, 1579–1586. [Google Scholar] [CrossRef]
  18. Wang, Q.; Zhuang, X.; Mu, J.; Deng, Z.-B.; Jiang, H.; Zhang, L.; Xiang, X.; Wang, B.; Yan, J.; Miller, D. Delivery of therapeutic agents by nanoparticles made of grapefruit-derived lipids. Nat. Commun. 2013, 4, 1867. [Google Scholar] [CrossRef] [Green Version]
  19. Sun, D.; Zhuang, X.; Xiang, X.; Liu, Y.; Zhang, S.; Liu, C.; Barnes, S.; Grizzle, W.; Miller, D.; Zhang, H.-G. A novel nanoparticle drug delivery system: The anti-inflammatory activity of curcumin is enhanced when encapsulated in exosomes. Mol. Ther. 2010, 18, 1606–1614. [Google Scholar] [CrossRef]
  20. Gimona, M.; Pachler, K.; Laner-Plamberger, S.; Schallmoser, K.; Rohde, E. Manufacturing of human extracellular vesicle-based therapeutics for clinical use. Int. J. Mol. Sci. 2017, 18, 1190. [Google Scholar] [CrossRef]
  21. Pocsfalvi, G.; Stanly, C.; Vilasi, A.; Fiume, I.; Capasso, G.; Turiák, L.; Buzas, E.; Vékey, K. Mass spectrometry of extracellular vesicles. Mass Spectrom. Rev. 2016, 35, 3–21. [Google Scholar] [CrossRef] [PubMed]
  22. Hwang, D.W.; Jo, M.J.; Lee, J.H.; Kang, H.; Bao, K.; Hu, S.; Baek, Y.; Moon, H.G.; Lee, D.S.; Kashiwagi, S. Chemical modulation of bioengineered exosomes for tissue-specific biodistribution. Adv. Ther. 2019, 1900111. [Google Scholar] [CrossRef]
  23. Imai, T.; Takahashi, Y.; Nishikawa, M.; Kato, K.; Morishita, M.; Yamashita, T.; Matsumoto, A.; Charoenviriyakul, C.; Takakura, Y. Macrophage-dependent clearance of systemically administered B16BL6-derived exosomes from the blood circulation in mice. J. Extracell. Vesicles 2015, 4, 26238. [Google Scholar] [CrossRef] [PubMed]
  24. Matsumoto, A.; Takahashi, Y.; Nishikawa, M.; Sano, K.; Morishita, M.; Charoenviriyakul, C.; Saji, H.; Takakura, Y. Role of Phosphatidylserine-Derived Negative Surface Charges in the Recognition and Uptake of Intravenously Injected B16BL6-Derived Exosomes by Macrophages. J. Pharm. Sci. 2017, 106, 168–175. [Google Scholar] [CrossRef] [Green Version]
  25. Wolf, T.; Baier, S.R.; Zempleni, J. The intestinal transport of bovine milk exosomes is mediated by endocytosis in human colon carcinoma Caco-2 cells and rat small intestinal IEC-6 cells. J. Nutr. 2015, 145, 2201–2206. [Google Scholar] [CrossRef] [Green Version]
  26. Yuan, D.; Zhao, Y.; Banks, W.A.; Bullock, K.M.; Haney, M.; Batrakova, E.; Kabanov, A.V. Macrophage exosomes as natural nanocarriers for protein delivery to inflamed brain. Biomaterials 2017, 142, 1–12. [Google Scholar] [CrossRef]
  27. Mulcahy, L.A.; Pink, R.C.; Carter, D.R. Routes and mechanisms of extracellular vesicle uptake. J. Extracell. Vesicles 2014, 3, 24641. [Google Scholar] [CrossRef] [Green Version]
  28. Tian, T.; Zhu, Y.-L.; Zhou, Y.-Y.; Liang, G.-F.; Wang, Y.-Y.; Hu, F.-H.; Xiao, Z.-D. Exosome uptake through clathrin-mediated endocytosis and macropinocytosis and mediating miR-21 delivery. J. Biol. Chem. 2014, 289, 22258–22267. [Google Scholar] [CrossRef] [Green Version]
  29. Fitzner, D.; Schnaars, M.; van Rossum, D.; Krishnamoorthy, G.; Dibaj, P.; Bakhti, M.; Regen, T.; Hanisch, U.K.; Simons, M. Selective transfer of exosomes from oligodendrocytes to microglia by macropinocytosis. J. Cell Sci. 2011, 124, 447–458. [Google Scholar] [CrossRef] [Green Version]
  30. Feng, D.; Zhao, W.L.; Ye, Y.Y.; Bai, X.C.; Liu, R.Q.; Chang, L.F.; Zhou, Q.; Sui, S.F. Cellular internalization of exosomes occurs through phagocytosis. Traffic 2010, 11, 675–687. [Google Scholar] [CrossRef]
  31. Fan, Y.; Chen, M.; Zhang, J.; Maincent, P.; Xia, X.; Wu, W. Updated progress of nanocarrier-based intranasal drug delivery systems for treatment of brain diseases. Crit. Rev. Ther. Drug Carr. Syst. 2018, 35, 433–467. [Google Scholar] [CrossRef] [PubMed]
  32. Zhuang, X.; Xiang, X.; Grizzle, W.; Sun, D.; Zhang, S.; Axtell, R.C.; Ju, S.; Mu, J.; Zhang, L.; Steinman, L.; et al. Treatment of brain inflammatory diseases by delivering exosome encapsulated anti-inflammatory drugs from the nasal region to the brain. Mol. Ther. 2011, 19, 1769–1779. [Google Scholar] [CrossRef] [PubMed]
  33. Srinivasan, S.; Vannberg, F.O.; Dixon, J.B. Lymphatic transport of exosomes as a rapid route of information dissemination to the lymph node. Sci. Rep. 2016, 6, 24436. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Das, C.K.; Jena, B.C.; Banerjee, I.; Das, S.; Parekh, A.; Bhutia, S.K.; Mandal, M. Exosome as a novel shuttle for delivery of therapeutics across biological barriers. Mol. Pharm. 2018, 16, 24–40. [Google Scholar] [CrossRef] [PubMed]
  35. Takahashi, Y.; Nishikawa, M.; Shinotsuka, H.; Matsui, Y.; Ohara, S.; Imai, T.; Takakura, Y. Visualization and in vivo tracking of the exosomes of murine melanoma B16-BL6 cells in mice after intravenous injection. J. Biotechnol. 2013, 165, 77–84. [Google Scholar] [CrossRef] [PubMed]
  36. Kim, M.S.; Haney, M.J.; Zhao, Y.; Yuan, D.; Deygen, I.; Klyachko, N.L.; Kabanov, A.V.; Batrakova, E.V. Engineering macrophage-derived exosomes for targeted paclitaxel delivery to pulmonary metastases: In vitro and in vivo evaluations. Nanomedicine 2018, 14, 195–204. [Google Scholar] [CrossRef] [PubMed]
  37. Hume, D.A. The mononuclear phagocyte system. Curr. Opin. Immunol. 2006, 18, 49–53. [Google Scholar] [CrossRef]
  38. Yang, Y.; Hong, Y.; Cho, E.; Kim, G.B.; Kim, I.-S. Extracellular vesicles as a platform for membrane-associated therapeutic protein delivery. J. Extracell. Vesicles 2018, 7, 1440131. [Google Scholar] [CrossRef] [Green Version]
  39. Smyth, T.; Kullberg, M.; Malik, N.; Smith-Jones, P.; Graner, M.W.; Anchordoquy, T.J. Biodistribution and delivery efficiency of unmodified tumor-derived exosomes. J. Control. Release 2015, 199, 145–155. [Google Scholar] [CrossRef] [Green Version]
  40. Alvarez-Erviti, L.; Seow, Y.; Yin, H.; Betts, C.; Lakhal, S.; Wood, M.J. Delivery of siRNA to the mouse brain by systemic injection of targeted exosomes. Nat. Biotechnol. 2011, 29, 341–345. [Google Scholar] [CrossRef]
  41. Ohno, S.-i.; Takanashi, M.; Sudo, K.; Ueda, S.; Ishikawa, A.; Matsuyama, N.; Fujita, K.; Mizutani, T.; Ohgi, T.; Ochiya, T. Systemically injected exosomes targeted to EGFR deliver antitumor microRNA to breast cancer cells. Mol. Ther. 2013, 21, 185–191. [Google Scholar] [CrossRef] [Green Version]
  42. Stewart, M.P.; Lorenz, A.; Dahlman, J.; Sahay, G. Challenges in carrier-mediated intracellular delivery: Moving beyond endosomal barriers. Wiley Interdiscip. Rev. Nanomed. Nanobiotechnol. 2016, 8, 465–478. [Google Scholar] [CrossRef] [PubMed]
  43. Morishita, M.; Takahashi, Y.; Nishikawa, M.; Ariizumi, R.; Takakura, Y. Enhanced class I tumor antigen presentation via cytosolic delivery of exosomal cargos by tumor-cell-derived exosomes displaying a pH-sensitive fusogenic peptide. Mol. Pharm. 2017, 14, 4079–4086. [Google Scholar] [CrossRef] [PubMed]
  44. Zheng, Z.; Li, Z.; Xu, C.; Guo, B.; Guo, P. Folate-displaying exosome mediated cytosolic delivery of siRNA avoiding endosome trapping. J. Control. Release 2019, 311, 43–49. [Google Scholar] [CrossRef] [PubMed]
  45. Altadill, T.; Campoy, I.; Lanau, L.; Gill, K.; Rigau, M.; Gil-Moreno, A.; Reventos, J.; Byers, S.; Colas, E.; Cheema, A.K. Enabling metabolomics based biomarker discovery studies using molecular phenotyping of exosome-like vesicles. PLoS ONE 2016, 11, e0151339. [Google Scholar] [CrossRef] [Green Version]
  46. Luo, X.; An, M.; Cuneo, K.C.; Lubman, D.M.; Li, L. High-performance chemical isotope labeling liquid chromatography mass spectrometry for exosome metabolomics. Anal. Chem. 2018, 90, 8314–8319. [Google Scholar] [CrossRef]
  47. Puhka, M.; Takatalo, M.; Nordberg, M.-E.; Valkonen, S.; Nandania, J.; Aatonen, M.; Yliperttula, M.; Laitinen, S.; Velagapudi, V.; Mirtti, T. Metabolomic profiling of extracellular vesicles and alternative normalization methods reveal enriched metabolites and strategies to study prostate cancer-related changes. Theranostics 2017, 7, 3824–3841. [Google Scholar] [CrossRef]
  48. Tian, T.; Wang, Y.; Wang, H.; Zhu, Z.; Xiao, Z. Visualizing of the cellular uptake and intracellular trafficking of exosomes by live-cell microscopy. J. Cell. Biochem. 2010, 111, 488–496. [Google Scholar] [CrossRef]
  49. van Niel, G.; D’Angelo, G.; Raposo, G. Shedding light on the cell biology of extracellular vesicles. Nat. Rev. Mol. Cell Biol. 2018, 19, 213–228. [Google Scholar] [CrossRef]
  50. Yellepeddi, V.; Rower, J.; Liu, X.; Kumar, S.; Rashid, J.; Sherwin, C. State-of-the-art review on physiologically based pharmacokinetic modeling in pediatric drug development. Clin. Pharmacokinet. 2019, 58, 1–13. [Google Scholar] [CrossRef]
  51. Gerlowski, L.E.; Jain, R.K. Physiologically based pharmacokinetic modeling: Principles and applications. J. Pharm. Sci. 1983, 72, 1103–1127. [Google Scholar] [CrossRef] [PubMed]
  52. Rowland, M. Physiologically-Based Pharmacokinetic (PBPK) Modeling and Simulations Principles, Methods, and Applications in the Pharmaceutical Industry. CPT Pharmacomet. Syst. Pharmacol. 2013, 2, e55. [Google Scholar] [CrossRef] [PubMed]
  53. He, H.; Yuan, D.; Wu, Y.; Cao, Y. Pharmacokinetics and Pharmacodynamics Modeling and Simulation Systems to Support the Development and Regulation of Liposomal Drugs. Pharmaceutics 2019, 11, 110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Hamburg, M.A.; Collins, F.S. The path to personalized medicine. N. Engl. J. Med. 2010, 363, 301–304. [Google Scholar] [CrossRef]
  55. Rodrigues, D.; Rowland, A. From endogenous compounds as biomarkers to plasma-derived nanovesicles as liquid biopsy; Has the golden age of translational pharmacokinetics-absorption, distribution, metabolism, excretion-drug-drug interaction science finally arrived? Clin. Pharmacol. Ther. 2019, 105, 1407–1420. [Google Scholar] [CrossRef]
  56. Gangadaran, P.; Hong, C.M.; Ahn, B.C. Current perspectives on in vivo noninvasive tracking of extracellular vesicles with molecular imaging. Biomed. Res. Int. 2017, 2017, 9158319. [Google Scholar] [CrossRef]
  57. Etrych, T.; Lucas, H.; Janouskova, O.; Chytil, P.; Mueller, T.; Mader, K. Fluorescence optical imaging in anticancer drug delivery. J. Control. Release 2016, 226, 168–181. [Google Scholar] [CrossRef]
  58. Grange, C.; Tapparo, M.; Bruno, S.; Chatterjee, D.; Quesenberry, P.J.; Tetta, C.; Camussi, G. Biodistribution of mesenchymal stem cell-derived extracellular vesicles in a model of acute kidney injury monitored by optical imaging. Int. J. Mol. Med. 2014, 33, 1055–1063. [Google Scholar] [CrossRef] [Green Version]
  59. Wiklander, O.P.; Nordin, J.Z.; O’Loughlin, A.; Gustafsson, Y.; Corso, G.; Mäger, I.; Vader, P.; Lee, Y.; Sork, H.; Seow, Y. Extracellular vesicle in vivo biodistribution is determined by cell source, route of administration and targeting. J. Extracell. Vesicles 2015, 4, 26316. [Google Scholar] [CrossRef] [Green Version]
  60. Reisch, A.; Klymchenko, A.S. Fluorescent polymer nanoparticles based on dyes: Seeking brighter tools for bioimaging. Small 2016, 12, 1968–1992. [Google Scholar] [CrossRef] [Green Version]
  61. Lai, C.P.; Mardini, O.; Ericsson, M.; Prabhakar, S.; Maguire, C.A.; Chen, J.W.; Tannous, B.A.; Breakefield, X.O. Dynamic biodistribution of extracellular vesicles in vivo using a multimodal imaging reporter. ACS Nano 2014, 8, 483–494. [Google Scholar] [CrossRef] [Green Version]
  62. Lai, C.P.; Kim, E.Y.; Badr, C.E.; Weissleder, R.; Mempel, T.R.; Tannous, B.A.; Breakefield, X.O. Visualization and tracking of tumour extracellular vesicle delivery and RNA translation using multiplexed reporters. Nat. Commun. 2015, 6, 7029. [Google Scholar] [CrossRef]
  63. Suetsugu, A.; Honma, K.; Saji, S.; Moriwaki, H.; Ochiya, T.; Hoffman, R.M. Imaging exosome transfer from breast cancer cells to stroma at metastatic sites in orthotopic nude-mouse models. Adv. Drug Deliv. Rev. 2013, 65, 383–390. [Google Scholar] [CrossRef]
  64. Morishita, M.; Takahashi, Y.; Nishikawa, M.; Sano, K.; Kato, K.; Yamashita, T.; Imai, T.; Saji, H.; Takakura, Y. Quantitative analysis of tissue distribution of the B16BL6-derived exosomes using a streptavidin-lactadherin fusion protein and iodine-125-labeled biotin derivative after intravenous injection in mice. J. Pharm. Sci. 2015, 104, 705–713. [Google Scholar] [CrossRef]
  65. Varga, Z.; Gyurko, I.; Paloczi, K.; Buzas, E.I.; Horvath, I.; Hegedus, N.; Mathe, D.; Szigeti, K. Radiolabeling of Extracellular Vesicles with (99m)Tc for Quantitative In Vivo Imaging Studies. Cancer Biother. Radiopharm. 2016, 31, 168–173. [Google Scholar] [CrossRef] [Green Version]
  66. Choi, H.; Jang, S.C.; Yoo, M.Y.; Park, J.Y.; Choi, N.E.; Oh, H.J.; Ha, S.; Lee, Y.-S.; Jeong, J.M.; Gho, Y.S. Noninvasive imaging of radiolabeled exosome-mimetic nanovesicle using 99m Tc-HMPAO. Sci. Rep. 2015, 5, 15636. [Google Scholar]
  67. Faruqu, F.N.; Wang, J.T.-W.; Xu, L.; McNickle, L.; Chong, E.M.-Y.; Walters, A.; Gurney, M.; Clayton, A.; Smyth, L.A.; Hider, R. Membrane Radiolabelling of Exosomes for Comparative Biodistribution Analysis in Immunocompetent and Immunodeficient Mice-A Novel and Universal Approach. Theranostics 2019, 9, 1666. [Google Scholar] [CrossRef]
  68. Jung, K.; Youn, H.; Kim, M.; Oh, S.; Kang, K.; Lee, D.; Chung, J.-K. In vivo PET imaging of radiolabeled exosomes from breast cancer cells. J. Nucl. Med. 2015, 56, 11. [Google Scholar]
  69. Shi, S.; Li, T.; Wen, X.; Wu, S.Y.; Xiong, C.; Zhao, J.; Lincha, V.R.; Chow, D.S.; Liu, Y.; Sood, A.K. Copper-64 labeled PEGylated exosomes for in vivo positron emission tomography and enhanced tumor retention. Bioconjug. Chem. 2019, 30, 2675–2683. [Google Scholar] [CrossRef]
  70. Dukers, D.F.; Meij, P.; Vervoort, M.B.; Vos, W.; Scheper, R.J.; Meijer, C.J.; Bloemena, E.; Middeldorp, J.M. Direct immunosuppressive effects of EBV-encoded latent membrane protein 1. J. Immunol. 2000, 165, 663–670. [Google Scholar] [CrossRef]
  71. Chavez-Munoz, C.; Morse, J.; Kilani, R.; Ghahary, A. Primary human keratinocytes externalize stratifin protein via exosomes. J. Cell. Biochem. 2008, 104, 2165–2173. [Google Scholar] [CrossRef]
  72. Sabapatha, A.; Gercel-Taylor, C.; Taylor, D.D. Specific isolation of placenta-derived exosomes from the circulation of pregnant women and their immunoregulatory consequences. Am. J. Reprod. Immunol. 2006, 56, 345–355. [Google Scholar] [CrossRef]
  73. Alvarez, M.L.; Khosroheidari, M.; Ravi, R.K.; DiStefano, J.K. Comparison of protein, microRNA, and mRNA yields using different methods of urinary exosome isolation for the discovery of kidney disease biomarkers. Kidney Int. 2012, 82, 1024–1032. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Escola, J.M.; Kleijmeer, M.J.; Stoorvogel, W.; Griffith, J.M.; Yoshie, O.; Geuze, H.J. Selective enrichment of tetraspan proteins on the internal vesicles of multivesicular endosomes and on exosomes secreted by human B-lymphocytes. J. Biol. Chem. 1998, 273, 20121–20127. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Thery, C.; Regnault, A.; Garin, J.; Wolfers, J.; Zitvogel, L.; Ricciardi-Castagnoli, P.; Raposo, G.; Amigorena, S. Molecular characterization of dendritic cell-derived exosomes. Selective accumulation of the heat shock protein hsc73. J. Cell Biol. 1999, 147, 599–610. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. van Niel, G.; Raposo, G.; Candalh, C.; Boussac, M.; Hershberg, R.; Cerf-Bensussan, N.; Heyman, M. Intestinal epithelial cells secrete exosome-like vesicles. Gastroenterology 2001, 121, 337–349. [Google Scholar] [CrossRef]
  77. Moon, P.G.; Lee, J.E.; You, S.; Kim, T.K.; Cho, J.H.; Kim, I.S.; Kwon, T.H.; Kim, C.D.; Park, S.H.; Hwang, D.; et al. Proteomic analysis of urinary exosomes from patients of early IgA nephropathy and thin basement membrane nephropathy. Proteomics 2011, 11, 2459–2475. [Google Scholar] [CrossRef]
  78. Moon, P.G.; You, S.; Lee, J.E.; Hwang, D.; Baek, M.C. Urinary exosomes and proteomics. Mass Spectrom. Rev. 2011, 30, 1185–1202. [Google Scholar] [CrossRef]
  79. van der Pol, E.; Hoekstra, A.G.; Sturk, A.; Otto, C.; van Leeuwen, T.G.; Nieuwland, R. Optical and non-optical methods for detection and characterization of microparticles and exosomes. J. Thromb. Haemost. 2010, 8, 2596–2607. [Google Scholar] [CrossRef]
  80. Lane, R.E.; Korbie, D.; Anderson, W.; Vaidyanathan, R.; Trau, M. Analysis of exosome purification methods using a model liposome system and tunable-resistive pulse sensing. Sci. Rep. 2015, 5, 7639. [Google Scholar] [CrossRef] [Green Version]
  81. de Vrij, J.; Maas, S.L.; van Nispen, M.; Sena-Esteves, M.; Limpens, R.W.; Koster, A.J.; Leenstra, S.; Lamfers, M.L.; Broekman, M.L. Quantification of nanosized extracellular membrane vesicles with scanning ion occlusion sensing. Nanomedicine 2013, 8, 1443–1458. [Google Scholar] [CrossRef] [PubMed]
  82. Tatischeff, I.; Larquet, E.; Falcon-Perez, J.M.; Turpin, P.Y.; Kruglik, S.G. Fast characterisation of cell-derived extracellular vesicles by nanoparticles tracking analysis, cryo-electron microscopy, and Raman tweezers microspectroscopy. J. Extracell. Vesicles 2012, 1, 19179. [Google Scholar] [CrossRef] [PubMed]
  83. Zou, G.; Benktander, J.D.; Gizaw, S.T.; Gaunitz, S.; Novotny, M.V. Comprehensive Analytical Approach toward Glycomic Characterization and Profiling in Urinary Exosomes. Anal. Chem. 2017, 89, 5364–5372. [Google Scholar] [CrossRef] [PubMed]
  84. Im, H.; Shao, H.; Park, Y.I.; Peterson, V.M.; Castro, C.M.; Weissleder, R.; Lee, H. Label-free detection and molecular profiling of exosomes with a nano-plasmonic sensor. Nat. Biotechnol. 2014, 32, 490–495. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Jeong, S.; Park, J.; Pathania, D.; Castro, C.M.; Weissleder, R.; Lee, H. Integrated Magneto-Electrochemical Sensor for Exosome Analysis. ACS Nano 2016, 10, 1802–1809. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Shao, H.; Chung, J.; Lee, K.; Balaj, L.; Min, C.; Carter, B.S.; Hochberg, F.H.; Breakefield, X.O.; Lee, H.; Weissleder, R. Chip-based analysis of exosomal mRNA mediating drug resistance in glioblastoma. Nat. Commun. 2015, 6, 6999. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Production and cellular uptake of exosomes. (a) Production of exosomes. (b) Cellular uptake and endocytic pathway of exosomes.
Figure 1. Production and cellular uptake of exosomes. (a) Production of exosomes. (b) Cellular uptake and endocytic pathway of exosomes.
Pharmaceutics 11 00649 g001
Scheme 1. Flow diagram of a physiologically based pharmacokinetic (PBPK) model.
Scheme 1. Flow diagram of a physiologically based pharmacokinetic (PBPK) model.
Pharmaceutics 11 00649 sch001
Table 1. Pharmacokinetic parameters calculated according to studies on absorption, distribution, metabolism, and excretion of exosomes.
Table 1. Pharmacokinetic parameters calculated according to studies on absorption, distribution, metabolism, and excretion of exosomes.
Experimental ModelPharmacokinetic ParametersRef
Fluorophore-exosomes (10 nmol, i.v.) (CD-1 mice)t1/2α = 6.85–8.79 min, t1/2β = 149–792 min, kel = 0.0003–0.0052 min−1, AUC = 5922–25759%ID⋅g−1⋅min−1), CL = 0.0054–0.0154 mL⋅min−1, Vd = 2.4321–8.4773 mL [22]
gLuc-lactadherin-exosomes (5 μg, i.v.) (macrophage-depleted mice)AUC = 160 ± 33% of ID⋅h/mL, MRT = 3.57 ± 0.68 h, CL = 0.651 ± 0.157 mL/h[23]
Milk exosomes (transport kinetics in Caco-2 and IEC-6 cells)Km = 55.5 ± 48.6 μg/200 μL (Caco-2), Km = 152 ± 39.5 μg/200 μL (IEC-6) [25]
125I-exosomes (4 × 105 cpm, i.v.) (Parkinson’s disease mouse model)CL = 0.016 mL/min, Vss = 3.15 mL, MRTlast = 0.91 h, MRTinf = 3.40 h[26]
i.v. = intravenously; t1/2α = half-life during distribution; t1/2β = half-life during elimination; kel = elimination rate constant; AUC = area under the concentration time curve; CL = clearance; Vd = volume of distribution; gLuc = gaussia luciferase; MRT = mean residence time; Km = Michaelis constant; cpm = counts per minute; Vss = volume of distribution at steady state; MRTlast = mean residence time from 0 h to the time of the last positive concentration; MRTinf = mean residence time extrapolated to infinity.

Share and Cite

MDPI and ACS Style

Kim, D.H.; Kothandan, V.K.; Kim, H.W.; Kim, K.S.; Kim, J.Y.; Cho, H.J.; Lee, Y.-k.; Lee, D.-E.; Hwang, S.R. Noninvasive Assessment of Exosome Pharmacokinetics In Vivo: A Review. Pharmaceutics 2019, 11, 649. https://doi.org/10.3390/pharmaceutics11120649

AMA Style

Kim DH, Kothandan VK, Kim HW, Kim KS, Kim JY, Cho HJ, Lee Y-k, Lee D-E, Hwang SR. Noninvasive Assessment of Exosome Pharmacokinetics In Vivo: A Review. Pharmaceutics. 2019; 11(12):649. https://doi.org/10.3390/pharmaceutics11120649

Chicago/Turabian Style

Kim, Do Hee, Vinoth Kumar Kothandan, Hye Won Kim, Ki Seung Kim, Ji Young Kim, Hyeon Jin Cho, Yong-kyu Lee, Dong-Eun Lee, and Seung Rim Hwang. 2019. "Noninvasive Assessment of Exosome Pharmacokinetics In Vivo: A Review" Pharmaceutics 11, no. 12: 649. https://doi.org/10.3390/pharmaceutics11120649

APA Style

Kim, D. H., Kothandan, V. K., Kim, H. W., Kim, K. S., Kim, J. Y., Cho, H. J., Lee, Y. -k., Lee, D. -E., & Hwang, S. R. (2019). Noninvasive Assessment of Exosome Pharmacokinetics In Vivo: A Review. Pharmaceutics, 11(12), 649. https://doi.org/10.3390/pharmaceutics11120649

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop