Issue 12, 2019

A highly sensitive living probe derived from nanoparticle-remodeled neutrophils for precision tumor imaging diagnosis

Abstract

Timely and precise diagnosis of malignant tumors is of great value to patients’ treatment and prognosis. Although nanotechnology-based molecular imaging represents a major advancement in the field of tumor imaging diagnosis, it is restricted by the rapid blood clearance of nanoparticles and the diverse physiological barriers in vivo; hence, its further application is greatly hindered. Cell carriers, ascribed to their natural biological properties, are thus gaining increasing attention for addressing such issues. Here, taking full advantage of the inflammation-homing capability of neutrophils, we constructed a highly sensitive cell probe in which reduced bovine-serum albumin (BSA) nanoparticles, loaded with imaging agents (gadolinium (Gd) and BODIPY), were covalently fixed onto the cellular surface by 5-thio-2-nitrobenzoate (TNB)-mediated fast and efficient disulfide–thiol exchange. Impressively, the remodeling process exerted a negligible effect on the neutrophils’ biological profiles with regard to cell viability, morphology, and cell-surface protein markers. Compared with nanoparticle-based imaging agents in a lung-cancer xenograft model, the living neutrophil probe demonstrated faster targeting and stronger accumulation in the tumor site, as revealed by fluorescence and magnetic-resonance (MR) imaging. These results indicate the great potential of neutrophil-based living probe for precision tumor-diagnosis applications.

Graphical abstract: A highly sensitive living probe derived from nanoparticle-remodeled neutrophils for precision tumor imaging diagnosis

Supplementary files

Article information

Article type
Paper
Submitted
11 Jul 2019
Accepted
16 Sep 2019
First published
24 Sep 2019

Biomater. Sci., 2019,7, 5211-5220

A highly sensitive living probe derived from nanoparticle-remodeled neutrophils for precision tumor imaging diagnosis

Q. Qiu, Y. Wen, H. Dong, A. Shen, X. Zheng, Y. Li and F. Feng, Biomater. Sci., 2019, 7, 5211 DOI: 10.1039/C9BM01083A

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