Engineering and evaluation of precision-glycosylated clickable albumin nanoplatform for targeting the tumor microenvironment

<b>Rationale:</b> Glycosylation of drug delivery vehicles enables selective tumor microenvironment (TME) targeting but is limited by the lack of precise glycan control and unbiased evaluation of in situ targeting. We developed a clickable albumin nanoplatform engineered by distinct glycosylation for selective <i>in vivo</i> cell targeting (CAN-DGIT) with a defined number of sugar moieties and integrated spatial transcriptomics (ST) to map nanoparticle-TME interactions. <b>Methods</b>: Albumin was functionalized with azadibenzocyclooctyne (ADIBO) at a controlled degree of functionalization (DOF), confirmed by MALDI-TOF and UV-vis spectroscopy, followed by conjugation of azide-functionalized mannose, galactose, or glucose via click chemistry. Nanoparticles were labeled with <sup>64</sup>Cu or fluorescent dyes for PET imaging and <i>ex vivo</i> analysis in healthy and 4T1 tumor-bearing mice. ST based algorithms, spatial gene-image integration (SPADE), cell-type deconvolution (CellDART), and image-based molecular signature analysis (IAMSAM), were used to define TME clusters, associated cell populations, and glycan receptor gene signatures. Clodronate-loaded glycosylated albumins were tested for tumor-associated macrophage (TAM) depletion. <b>Results:</b> Glycosylation type of CAN-DGIT dictated pharmacokinetics and targeting. Mannosylated albumin (Man-Alb) showed rapid hepatic retention via mannose receptors on Kupffer cells and TAMs; galactosylated albumin (Gal-Alb) exhibited rapid hepatobiliary clearance with the highest tumor-to-liver ratio; glucosylated albumin at the C6 position (Glc(6)-Alb) progressively accumulated in tumors, correlating with glucose transporter 1 (GLUT1)-expressing cancer cells. ST confirmed Man-Alb enrichment in extracellular matrix (ECM)/TAM-rich clusters (mannose receptor C-type 1, Mrc1-high) and Gal-/Glc-Alb uptake in glycolytic/hypoxic tumor clusters (Slc2a1-high). Man-Alb-clodronate achieved potent CD206+ TAM depletion without altering drug release kinetics. <b>Conclusions:</b> Precisely tuned glycosylation enables programmable biodistribution and cell-type targeting of albumin nanoparticles in the TME. Integrating PET with ST provides a robust framework for mechanistic mapping of nanomedicine uptake. The CAN-DGIT platform offers a versatile strategy for developing targeted theranostic agents with immunomodulatory potential.

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Journal
Theranostics
Published
2025-11-20
DOI
https://doi.org/10.7150/thno.123973
Citations
1
Primary Topic
Cancer Research and Treatments
Type
article
Field-Weighted Citation Impact
1.23

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article

Engineering and evaluation of precision-glycosylated clickable albumin nanoplatform for targeting the tumor microenvironment

Jeongbin Park, Ji Yong Park, Jinyeong Choi, Yun‐Sang Lee et al.
1 citations
Theranostics
Cancer Research and Treatments
1.23
article

Engineering and evaluation of precision-glycosylated clickable albumin nanoplatform for targeting the tumor microenvironment

Jeongbin Park, Ji Yong Park, Jinyeong Choi, Yun‐Sang Lee, Jisu Park, Hongyoon Choi, Seung Hyeok Seok, Hyung‐Jun Im, Jin Sil Kim, Young Chan Ann, Hyewon Chung, Jiyoon Kim
article en
1 citations

Abstract

<b>Rationale:</b> Glycosylation of drug delivery vehicles enables selective tumor microenvironment (TME) targeting but is limited by the lack of precise glycan control and unbiased evaluation of in situ targeting. We developed a clickable albumin nanoplatform engineered by distinct glycosylation for selective <i>in vivo</i> cell targeting (CAN-DGIT) with a defined number of sugar moieties and integrated spatial transcriptomics (ST) to map nanoparticle-TME interactions. <b>Methods</b>: Albumin was functionalized with azadibenzocyclooctyne (ADIBO) at a controlled degree of functionalization (DOF), confirmed by MALDI-TOF and UV-vis spectroscopy, followed by conjugation of azide-functionalized mannose, galactose, or glucose via click chemistry. Nanoparticles were labeled with <sup>64</sup>Cu or fluorescent dyes for PET imaging and <i>ex vivo</i> analysis in healthy and 4T1 tumor-bearing mice. ST based algorithms, spatial gene-image integration (SPADE), cell-type deconvolution (CellDART), and image-based molecular signature analysis (IAMSAM), were used to define TME clusters, associated cell populations, and glycan receptor gene signatures. Clodronate-loaded glycosylated albumins were tested for tumor-associated macrophage (TAM) depletion. <b>Results:</b> Glycosylation type of CAN-DGIT dictated pharmacokinetics and targeting. Mannosylated albumin (Man-Alb) showed rapid hepatic retention via mannose receptors on Kupffer cells and TAMs; galactosylated albumin (Gal-Alb) exhibited rapid hepatobiliary clearance with the highest tumor-to-liver ratio; glucosylated albumin at the C6 position (Glc(6)-Alb) progressively accumulated in tumors, correlating with glucose transporter 1 (GLUT1)-expressing cancer cells. ST confirmed Man-Alb enrichment in extracellular matrix (ECM)/TAM-rich clusters (mannose receptor C-type 1, Mrc1-high) and Gal-/Glc-Alb uptake in glycolytic/hypoxic tumor clusters (Slc2a1-high). Man-Alb-clodronate achieved potent CD206+ TAM depletion without altering drug release kinetics. <b>Conclusions:</b> Precisely tuned glycosylation enables programmable biodistribution and cell-type targeting of albumin nanoparticles in the TME. Integrating PET with ST provides a robust framework for mechanistic mapping of nanomedicine uptake. The CAN-DGIT platform offers a versatile strategy for developing targeted theranostic agents with immunomodulatory potential.

TheranosticsVol. 16(3)
Seoul National University (KR), Dongguk University (KR), New Generation University College (ET), Seoul National University Hospital (KR)
National Research Foundation, Ministry of Trade, Industry and Energy, Korea Health Industry Development Institute, National Research Foundation of Korea, Korea Drug Development Fund, Ministry of SMEs and Startups, Ministry of Science and ICT, South Korea, Korea Evaluation Institute of Industrial Technology
Openalex Percentile: Top 16%
Cancer Research and Treatments
1.23
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