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

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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

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Publication details

The article was received on 11 Jul 2019, accepted on 16 Sep 2019 and first published on 24 Sep 2019


Article type: Paper
DOI: 10.1039/C9BM01083A
Biomater. Sci., 2019, Advance Article

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    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, Advance Article , DOI: 10.1039/C9BM01083A

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