Engineering of Kidney‐Targeting Fluorophores with Tunable Emission from NIR‐I to NIR‐II for Early Diagnosis of Kidney Disease

The development of rapidly distributed and retained probes within the kidneys is important for accurately diagnosing kidney diseases. Although molecular imaging shows the potential for non-intrusively interrogating kidney disease-related biomarkers, the limited kidney contrast of many fluorophores, owing to their relatively low distribution in the kidney, hinders their effectiveness for kidney disease detection. Herein, for the first time, an amino-functionalization strategy is proposed to construct a library of kidney-targeting fluorophores NHcy with tunable emissions from NIR-I to NIR-II. Among these, NHcy-8 is the first small-molecule NIR-II dye without a renal clearance moiety, designed specifically for kidney-targeting imaging. Building on this class of NIR-II fluorophore, the first NIR-II small-molecule kidney-targeting pH probe NIR-II-pH is developed, which exhibits a desirable kidney distribution after intravenous injection and is fluorescent only after activation by acidosis. NIR-II in vivo fluorescence/photoacoustic imaging of kidney disease models induced by cisplatin and renal I/R injury using NIR-II-pH reveals increasingly severe metabolic acidosis as the disease progressed, enabling sensitive detection of the onset of acidosis 36 h (cisplatin group) earlier than clinical methods. Thus, this study introduces a practical NIR-II kidney-targeting probe and provides a useful molecular blueprint for guiding kidney-targeting NIR-II fluorophores as diagnostic aids for kidney diseases.

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Publication Details

Journal
Advanced Healthcare Materials
Published
2024-10-07
DOI
https://doi.org/10.1002/adhm.202402828
Citations
7
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
1.29

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article

Engineering of Kidney‐Targeting Fluorophores with Tunable Emission from NIR‐I to NIR‐II for Early Diagnosis of Kidney Disease

Xing‐Can Shen, Yulan Jiang, Hua Chen, Liping Wang et al.
7 citations
Advanced Healthcare Materials
Nanoplatforms for cancer theranostics
1.29
article

Engineering of Kidney‐Targeting Fluorophores with Tunable Emission from NIR‐I to NIR‐II for Early Diagnosis of Kidney Disease

Xing‐Can Shen, Yulan Jiang, Hua Chen, Liping Wang, Chengkun Nong, Bangping Hu
article en
7 citations

Abstract

The development of rapidly distributed and retained probes within the kidneys is important for accurately diagnosing kidney diseases. Although molecular imaging shows the potential for non-intrusively interrogating kidney disease-related biomarkers, the limited kidney contrast of many fluorophores, owing to their relatively low distribution in the kidney, hinders their effectiveness for kidney disease detection. Herein, for the first time, an amino-functionalization strategy is proposed to construct a library of kidney-targeting fluorophores NHcy with tunable emissions from NIR-I to NIR-II. Among these, NHcy-8 is the first small-molecule NIR-II dye without a renal clearance moiety, designed specifically for kidney-targeting imaging. Building on this class of NIR-II fluorophore, the first NIR-II small-molecule kidney-targeting pH probe NIR-II-pH is developed, which exhibits a desirable kidney distribution after intravenous injection and is fluorescent only after activation by acidosis. NIR-II in vivo fluorescence/photoacoustic imaging of kidney disease models induced by cisplatin and renal I/R injury using NIR-II-pH reveals increasingly severe metabolic acidosis as the disease progressed, enabling sensitive detection of the onset of acidosis 36 h (cisplatin group) earlier than clinical methods. Thus, this study introduces a practical NIR-II kidney-targeting probe and provides a useful molecular blueprint for guiding kidney-targeting NIR-II fluorophores as diagnostic aids for kidney diseases.

Advanced Healthcare MaterialsVol. 13(32)
Guangxi Normal University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 21%
Nanoplatforms for cancer theranostics
1.29
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