Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe

doi:10.1186/s12951-022-01341-9

	Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe
	Feng,Xin1,2 ; Li,Yuhao 3; Zhang,Shiyuan 1; Li,Changjian 4; Tian,Jie1,4,5,6
Source Publication	Journal of Nanobiotechnology
	2022-03-18
Volume	20 Issue:1
Corresponding Author	Tian,Jie(jie.tian@ia.ac.cn)
Abstract	AbstractHypoxia is a distinguished hallmark of the tumor microenvironment. Hypoxic signaling affects multiple gene expressions, resulting in tumor invasion and metastasis. Quantification of hypoxic status although challenging, can be useful for monitoring tumor development and aggressiveness. However, hypoxia-independent factors such as nonspecific binding and heterogenous probe delivery considerably influence the probe signal thereby disenabling reliable quantitative imaging in vivo. In this study, we designed a self-calibrated activatable nanoprobe Cy7-1/PG5-Cy5@LWHA that specifically detects nitroreductase activity upregulated in hypoxic tumor cells. Dual fluorescence emission of the nanoprobe enables ratiometric calibration and eliminates the target-independent interference. In orthotopic and metastatic breast cancer mouse models, Cy7-1/PG5-Cy5@LWHA demonstrated remarkable hypoxia sensing capability in vivo. Moreover, ratiometric processing provided quantitative hypoxia assessment at different tumor developmental stages and facilitated tumor burden assessment in the metastatic lymph nodes. Therefore, our study demonstrates that ratiometric imaging of Cy7-1/PG5-Cy5@LWHA can be a prospective noninvasive tool to quantitatively monitor tumor hypoxia, which would be beneficial for investigating the fundamental role of hypoxia in tumor progression and for evaluating response to novel anti-hypoxia therapeutics. Furthermore, successful detection of metastatic lymph nodes with the proposed imaging approach illustrates its potential clinical application in assessing lymph node status during surgery.Graphical Abstract
Keyword	Hypoxia Ratiometric imaging Quantitative Breast cancer
DOI	10.1186/s12951-022-01341-9
Language	英语
WOS ID	BMC:10.1186/s12951-022-01341-9
Publisher	BioMed Central
Sub direction classification	其他
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/47646
Collection	中国科学院分子影像重点实验室
Corresponding Author	Tian,Jie
Affiliation	1.Chinese Academy of Sciences; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation 2.University of Chinese Academy of Science; School of Artificial Intelligence 3.University of Shanghai for Science and Technology; Institute of Bismuth Science and School of Materials and Chemistry 4.Beihang University; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering 5.Xidian University; Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology 6.Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology
Recommended Citation GB/T 7714	Feng,Xin,Li,Yuhao,Zhang,Shiyuan,et al. Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe[J]. Journal of Nanobiotechnology,2022,20(1).
APA	Feng,Xin,Li,Yuhao,Zhang,Shiyuan,Li,Changjian,&Tian,Jie.(2022).Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe.Journal of Nanobiotechnology,20(1).
MLA	Feng,Xin,et al."Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe".Journal of Nanobiotechnology 20.1(2022).

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