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LnNP@ZIF8 Smart System for In Situ NIR-II Ratiometric Imaging-Based Tumor Drug Resistance Evaluation.

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Title: LnNP@ZIF8 Smart System for In Situ NIR-II Ratiometric Imaging-Based Tumor Drug Resistance Evaluation.
Authors: Wang, Qingyuan1 (AUTHOR), Zhang, Zhizheng1 (AUTHOR), Qiu, Dehui2 (AUTHOR), Mao, Xuanxiang2 (AUTHOR), Zhou, Zhaoxi2 (AUTHOR), Xia, Tiansong1 (AUTHOR), Wei, Jifu3,4 (AUTHOR) weijifu@njmu.edu.cn, Ding, Qiang1 (AUTHOR) weijifu@njmu.edu.cn, Zhang, Xiaobo1,2 (AUTHOR) weijifu@njmu.edu.cn
Source: Nanomaterials (2079-4991). Dec2022, Vol. 12 Issue 24, p4478. 14p.
Subjects: Drug resistance, Reactive oxygen species, Targeted drug delivery, Metal-organic frameworks, Nanoparticles
Abstract: Just-in-time evaluation of drug resistance in situ will greatly facilitate the achievement of precision cancer therapy. The rapid elevation of reactive oxygen species (ROS) is the key to chemotherapy. Hence, suppressed ROS production is an important marker for chemotherapy drug resistance. Herein, a NIR-II emission smart nanoprobe (LnNP@ZIF8, consisting of a lanthanide-doped nanoparticle (LnNP) core and metal-organic framework shell (ZIF8)) is constructed for drug delivery and in vivo NIR-II ratiometric imaging of ROS for tumor drug resistance evaluation. The drug-loaded nanoprobes release therapeutic substances for chemotherapy in the acidic tumor tissue. As the level of ROS increases, the LnNPs shows responsively descending fluorescence intensity at 1550 nm excited by 980 nm (F1550, 980Ex), while the fluorescence of the LnNPs at 1060 nm excited by 808 nm (F1060, 808Ex) is stable. Due to the ratiometric F1550, 980Ex/F1060, 808Ex value exhibiting a linear relationship with ROS concentration, NIR-II imaging results of ROS change based on this ratio can be an important basis for determining tumor drug resistance. As the chemotherapy and resistance evaluation are explored continuously in situ, the ratiometric imaging identifies drug resistance successfully within 24 h, which can greatly improve the timeliness of accurate treatment. [ABSTRACT FROM AUTHOR]
Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: LnNP@ZIF8 Smart System for In Situ NIR-II Ratiometric Imaging-Based Tumor Drug Resistance Evaluation.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Qingyuan%22">Wang, Qingyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhizheng%22">Zhang, Zhizheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qiu%2C+Dehui%22">Qiu, Dehui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mao%2C+Xuanxiang%22">Mao, Xuanxiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Zhaoxi%22">Zhou, Zhaoxi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xia%2C+Tiansong%22">Xia, Tiansong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Jifu%22">Wei, Jifu</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> weijifu@njmu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ding%2C+Qiang%22">Ding, Qiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> weijifu@njmu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaobo%22">Zhang, Xiaobo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> weijifu@njmu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Nanomaterials+%282079-4991%29%22">Nanomaterials (2079-4991)</searchLink>. Dec2022, Vol. 12 Issue 24, p4478. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Drug+resistance%22">Drug resistance</searchLink><br /><searchLink fieldCode="DE" term="%22Reactive+oxygen+species%22">Reactive oxygen species</searchLink><br /><searchLink fieldCode="DE" term="%22Targeted+drug+delivery%22">Targeted drug delivery</searchLink><br /><searchLink fieldCode="DE" term="%22Metal-organic+frameworks%22">Metal-organic frameworks</searchLink><br /><searchLink fieldCode="DE" term="%22Nanoparticles%22">Nanoparticles</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Just-in-time evaluation of drug resistance in situ will greatly facilitate the achievement of precision cancer therapy. The rapid elevation of reactive oxygen species (ROS) is the key to chemotherapy. Hence, suppressed ROS production is an important marker for chemotherapy drug resistance. Herein, a NIR-II emission smart nanoprobe (LnNP@ZIF8, consisting of a lanthanide-doped nanoparticle (LnNP) core and metal-organic framework shell (ZIF8)) is constructed for drug delivery and in vivo NIR-II ratiometric imaging of ROS for tumor drug resistance evaluation. The drug-loaded nanoprobes release therapeutic substances for chemotherapy in the acidic tumor tissue. As the level of ROS increases, the LnNPs shows responsively descending fluorescence intensity at 1550 nm excited by 980 nm (F1550, 980Ex), while the fluorescence of the LnNPs at 1060 nm excited by 808 nm (F1060, 808Ex) is stable. Due to the ratiometric F1550, 980Ex/F1060, 808Ex value exhibiting a linear relationship with ROS concentration, NIR-II imaging results of ROS change based on this ratio can be an important basis for determining tumor drug resistance. As the chemotherapy and resistance evaluation are explored continuously in situ, the ratiometric imaging identifies drug resistance successfully within 24 h, which can greatly improve the timeliness of accurate treatment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/nano12244478
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        Text: English
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        PageCount: 14
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      – SubjectFull: Drug resistance
        Type: general
      – SubjectFull: Reactive oxygen species
        Type: general
      – SubjectFull: Targeted drug delivery
        Type: general
      – SubjectFull: Metal-organic frameworks
        Type: general
      – SubjectFull: Nanoparticles
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      – TitleFull: LnNP@ZIF8 Smart System for In Situ NIR-II Ratiometric Imaging-Based Tumor Drug Resistance Evaluation.
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            NameFull: Wang, Qingyuan
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              M: 12
              Text: Dec2022
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              Y: 2022
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