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Developing a Bright NIR-II Fluorophore with Fast Renal Excretion and Its Application in Molecular Imaging of Immune Checkpoint PD-L1

  • Hao Wan
  • , Huilong Ma
  • , Shoujun Zhu
  • , Fei Fei Wang
  • , Ye Tian
  • , Rui Ma
  • , Qinglai Yang
  • , Zhubin Hu
  • , Tong Zhu
  • , Weizhi Wang
  • , Zhuoran Ma
  • , Mingxi Zhang
  • , Yeteng Zhong
  • , Haitao Sun*
  • , Yongye Liang
  • , Hongjie Dai
  • *此作品的通讯作者
  • Stanford University
  • Southern University of Science and Technology
  • East China Normal University
  • Shanxi University

科研成果: 期刊稿件文章同行评审

摘要

Fluorescence imaging in the second near-infrared (NIR-II) window holds impressive advantages of enhanced penetration depth and improved signal-to-noise ratio. Bright NIR-II fluorophores with renal excretion ability and low tissue accumulation are favorable for in vivo molecular imaging applications as they can render the target-mediated molecular imaging process easily distinguishable. Here, a probe (anti-PD-L1-BGP6) comprising a fluorophore (IR-BGP6) covalently bonded to the programmed cell death ligand-1 monoclonal antibody (PD-L1 mAb) for molecular imaging of immune checkpoint PD-L1 (a targeting site upregulated in various tumors for cancer imaging) in the NIR-II window is reported. Through molecular optimization, the bright NIR-II fluorophore IR-BGP6 with fast renal excretion (≈91% excretion in general through urine within the first 10 h postinjection) is developed. The conjugate anti-PD-L1-BGP6 succeeds in profiling PD-L1 expression and realizes efficient noninvasive molecular imaging in vivo, achieving a tumor to normal tissue (T/NT) signal ratio as high as ≈9.5. Compared with the NIR-II fluorophore with high nonspecific tissue accumulation, IR-BGP6 derived PD-L1 imaging significantly enhances the molecular imaging performance, serving as a strong tool for potentially studying underlying mechanism of immunotherapy. The work provides rationales to design renal-excreted NIR-II fluorophores and illustrate their advantages for in vivo molecular imaging.

源语言英语
期刊论文编号1804956
期刊Advanced Functional Materials
28
50
DOI
出版状态已出版 - 12 12月 2018
已对外发布

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