YongTae Kim

Prof. YongTae Kim

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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1 September 2021 in Nature Biomedical Engineering
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MLMelissa P. Lokugamage
Melissa P. Lokugamage
DVDaryll Vanover
Daryll Vanover
JBJared Beyersdorf
Jared Beyersdorf
MHMarine Z. C. Hatit
Marine Z. C. Hatit
LRLaura Rotolo
Laura Rotolo
JDJames E. Dahlman
James E. Dahlman

10 January 2020 in Nature Communications
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Journal Article
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SASong Ih Ahn
Song Ih Ahn
YSYoshitaka J. Sei
Yoshitaka J. Sei
HPHyun-Ji Park
Hyun-Ji Park
JKJinhwan Kim
Jinhwan Kim
YRYujung Ryu
Yujung Ryu
YongTae KimYongTae Kim
YongTae Kim
Challenges in drug development of neurological diseases remain mainly ascribed to the blood–brain barrier (BBB). Despite the valuable contribution of animal models to drug discovery, it remains difficult to conduct mechanistic studies on the barrier function and interactions with drugs at molecular and cellular levels. Here we present a microphysiological platform that recapitulates the key structure and function of the human BBB and enables 3D mapping of nanoparticle distributions in the vascular and perivascular regions. We demonstrate on-chip mimicry of the BBB structure and function by cellular interactions, key gene expressions, low permeability, and 3D astrocytic network with reduced reactive gliosis and polarized aquaporin-4 (AQP4) distribution. Moreover, our model precisely captures 3D nanoparticle distributions at cellular levels and demonstrates the distinct cellular uptakes and BBB penetrations through receptor-mediated transcytosis. Our BBB platform may present a complementary in vitro model to animal models for prescreening drug candidates for the treatment of neurological diseases.

20 June 2012 in Nano Letters
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Journal Article
Open access
YongTae KimYongTae Kim
YongTae Kim
BCBomy Lee Chung
Bomy Lee Chung
MMMingming Ma
Mingming Ma
WMWillem J. M. Mulder
Willem J. M. Mulder
ZFZahi A. Fayad
Zahi A. Fayad
RLRobert Langer
Robert Langer
Lipid–polymer hybrid (LPH) nanoparticles can deliver a wide range of therapeutic compounds in a controlled manner. LPH nanoparticle syntheses using microfluidics improve the mixing process but are restricted by a low throughput. In this study, we present a pattern-tunable microvortex platform that allows mass production and size control of LPH nanoparticles with superior reproducibility and homogeneity. We demonstrate that by varying flow rates (i.e., Reynolds number (30–150)) we can control the nanoparticle size (30–170 nm) with high productivity (∼3 g/hour) and low polydispersity (∼0.1). Our approach may contribute to efficient development and optimization of a wide range of multicomponent nanoparticles for medical imaging and drug delivery.

1 March 2018 in Advanced Drug Delivery Reviews
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Journal Article
Closed access
JAJungho Ahn
Jungho Ahn
JKJihoon Ko
Jihoon Ko
SLSomin Lee
Somin Lee
JYJames Yu
James Yu
YongTae KimYongTae Kim
YongTae Kim
NJNoo Li Jeon
Noo Li Jeon

15 August 2022 in Nature Communications
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HNHuanzhen Ni
Huanzhen Ni
MHMarine Z. C. Hatit
Marine Z. C. Hatit
KZKun Zhao
Kun Zhao
DLDavid Loughrey
David Loughrey
MLMelissa P. Lokugamage
Melissa P. Lokugamage
JDJames E. Dahlman
James E. Dahlman
In humans, lipid nanoparticles (LNPs) have safely delivered therapeutic RNA to hepatocytes after systemic administration and to antigen-presenting cells after intramuscular injection. However, systemic RNA delivery to non-hepatocytes remains challenging, especially without targeting ligands such as antibodies, peptides, or aptamers. Here we report that piperazine-containing ionizable lipids (Pi-Lipids) preferentially deliver mRNA to immune cells in vivo without targeting ligands. After synthesizing and characterizing Pi-Lipids, we use high-throughput DNA barcoding to quantify how 65 chemically distinct LNPs functionally delivered mRNA (i.e., mRNA translated into functional, gene-editing protein) in 14 cell types directly in vivo. By analyzing the relationships between lipid structure and cellular targeting, we identify lipid traits that increase delivery in vivo. In addition, we characterize Pi-A10, an LNP that preferentially delivers mRNA to the liver and splenic immune cells at the clinically relevant dose of 0.3 mg/kg. These data demonstrate that high-throughput in vivo studies can identify nanoparticles with natural non-hepatocyte tropism and support the hypothesis that lipids with bioactive small-molecule motifs can deliver mRNA in vivo.

6 January 2014 in Proceedings of the National Academy of Sciences
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Journal Article
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YongTae KimYongTae Kim
YongTae Kim
MLMark E. Lobatto
Mark E. Lobatto
TKTomohiro Kawahara
Tomohiro Kawahara
BCBomy Lee Chung
Bomy Lee Chung
AMAneta J. Mieszawska
Aneta J. Mieszawska
RLRobert Langer
Robert Langer
Significance: This study shows that an endothelialized microfluidic chip with controllable permeability can serve as a model for nanoparticle translocation across the permeable endothelium. Integration of this in vitro model and an in vivo rabbit model revealed that the extravasation of nanoparticles across the endothelium in atherosclerotic plaques depends on microvascular permeability. This approach represents a unique method for the assessment of nanoparticle behavior across the atherosclerotic endothelium, and may also serve as a valuable tool to study nanomedicine accumulation in a variety of other diseases.