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Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy

Nanoparticle internalisation is crucial for the precise delivery of drug/genes to its intracellular targets. Conventional quantification strategies can provide the overall profiling of nanoparticle biodistribution, but fail to unambiguously differentiate the intracellularly bioavailable particles fr...

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Autores principales: Yin, Qingqing, Pan, Anni, Chen, Binlong, Wang, Zenghui, Tang, Mingmei, Yan, Yue, Wang, Yaoqi, Xia, Heming, Chen, Wei, Du, Hongliang, Chen, Meifang, Fu, Chuanxun, Wang, Yanni, Yuan, Xia, Lu, Zhihao, Zhang, Qiang, Wang, Yiguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062465/
https://www.ncbi.nlm.nih.gov/pubmed/33888701
http://dx.doi.org/10.1038/s41467-021-22678-z
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author Yin, Qingqing
Pan, Anni
Chen, Binlong
Wang, Zenghui
Tang, Mingmei
Yan, Yue
Wang, Yaoqi
Xia, Heming
Chen, Wei
Du, Hongliang
Chen, Meifang
Fu, Chuanxun
Wang, Yanni
Yuan, Xia
Lu, Zhihao
Zhang, Qiang
Wang, Yiguang
author_facet Yin, Qingqing
Pan, Anni
Chen, Binlong
Wang, Zenghui
Tang, Mingmei
Yan, Yue
Wang, Yaoqi
Xia, Heming
Chen, Wei
Du, Hongliang
Chen, Meifang
Fu, Chuanxun
Wang, Yanni
Yuan, Xia
Lu, Zhihao
Zhang, Qiang
Wang, Yiguang
author_sort Yin, Qingqing
collection PubMed
description Nanoparticle internalisation is crucial for the precise delivery of drug/genes to its intracellular targets. Conventional quantification strategies can provide the overall profiling of nanoparticle biodistribution, but fail to unambiguously differentiate the intracellularly bioavailable particles from those in tumour intravascular and extracellular microenvironment. Herein, we develop a binary ratiometric nanoreporter (BiRN) that can specifically convert subtle pH variations involved in the endocytic events into digitised signal output, enabling the accurately quantifying of cellular internalisation without introducing extracellular contributions. Using BiRN technology, we find only 10.7–28.2% of accumulated nanoparticles are internalised into intracellular compartments with high heterogeneity within and between different tumour types. We demonstrate the therapeutic responses of nanomedicines are successfully predicted based on intracellular nanoparticle exposure rather than the overall accumulation in tumour mass. This nonlinear optical nanotechnology offers a valuable imaging tool to evaluate the tumour targeting of new nanomedicines and stratify patients for personalised cancer therapy.
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spelling pubmed-80624652021-05-11 Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy Yin, Qingqing Pan, Anni Chen, Binlong Wang, Zenghui Tang, Mingmei Yan, Yue Wang, Yaoqi Xia, Heming Chen, Wei Du, Hongliang Chen, Meifang Fu, Chuanxun Wang, Yanni Yuan, Xia Lu, Zhihao Zhang, Qiang Wang, Yiguang Nat Commun Article Nanoparticle internalisation is crucial for the precise delivery of drug/genes to its intracellular targets. Conventional quantification strategies can provide the overall profiling of nanoparticle biodistribution, but fail to unambiguously differentiate the intracellularly bioavailable particles from those in tumour intravascular and extracellular microenvironment. Herein, we develop a binary ratiometric nanoreporter (BiRN) that can specifically convert subtle pH variations involved in the endocytic events into digitised signal output, enabling the accurately quantifying of cellular internalisation without introducing extracellular contributions. Using BiRN technology, we find only 10.7–28.2% of accumulated nanoparticles are internalised into intracellular compartments with high heterogeneity within and between different tumour types. We demonstrate the therapeutic responses of nanomedicines are successfully predicted based on intracellular nanoparticle exposure rather than the overall accumulation in tumour mass. This nonlinear optical nanotechnology offers a valuable imaging tool to evaluate the tumour targeting of new nanomedicines and stratify patients for personalised cancer therapy. Nature Publishing Group UK 2021-04-22 /pmc/articles/PMC8062465/ /pubmed/33888701 http://dx.doi.org/10.1038/s41467-021-22678-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yin, Qingqing
Pan, Anni
Chen, Binlong
Wang, Zenghui
Tang, Mingmei
Yan, Yue
Wang, Yaoqi
Xia, Heming
Chen, Wei
Du, Hongliang
Chen, Meifang
Fu, Chuanxun
Wang, Yanni
Yuan, Xia
Lu, Zhihao
Zhang, Qiang
Wang, Yiguang
Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy
title Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy
title_full Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy
title_fullStr Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy
title_full_unstemmed Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy
title_short Quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy
title_sort quantitative imaging of intracellular nanoparticle exposure enables prediction of nanotherapeutic efficacy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062465/
https://www.ncbi.nlm.nih.gov/pubmed/33888701
http://dx.doi.org/10.1038/s41467-021-22678-z
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