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Contrast-sparing CT using renal-clearable gold nanoclusters for early spatial mapping of renal dysfunction
Jinbin Pan1,2,3,4, Li Ma1, Hua Ma2,3,4
1Department of Radiology, Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Science Advances
|May 29, 2026
Summary
This study introduces a new computed tomography (CT) method using glutathione-gold nanoclusters (GSH-Au NCs) for early, noninvasive kidney injury detection. This approach maps renal dysfunction spatially, improving diagnosis and monitoring of kidney diseases.
Area of Science:
- Biomedical Imaging
- Nanotechnology
- Renal Physiology
Background:
- Current clinical biomarkers for kidney disease often average whole-kidney function, missing localized or unilateral injuries.
- Early and spatially resolved assessment of renal dysfunction is crucial for effective kidney disease theranostics.
Purpose of the Study:
- To develop a contrast-sparing computed tomography (CT) approach for compartment-level mapping of renal dysfunction.
- To utilize renal-clearable glutathione-gold nanoclusters (GSH-Au NCs) for enhanced intrarenal CT contrast and early detection of kidney injury.
Main Methods:
- Developed ultrasmall (2.8 nm) glutathione-gold nanoclusters (GSH-Au NCs) with high X-ray attenuation for rapid renal clearance and intrarenal CT contrast.
- Administered low-dose GSH-Au NCs in three distinct mouse models of acute kidney injury (AKI).
- Analyzed CT imaging signatures and time-attenuation behaviors to identify mechanism-specific patterns of renal dysfunction.
Main Results:
- GSH-Au NCs provided mechanism-specific imaging signatures and distinct time-attenuation behaviors in AKI models, preceding changes in traditional biomarkers.
- Detected early bilateral cisplatin-induced kidney injury at an ultralow dose (32.5 mg Au/kg) via a bright band in the outer medulla on CT.
- Demonstrated spatial mapping of renal dysfunction consistent with tubular injury and cast/debris-mediated mechanisms.
Conclusions:
- Established a dose-efficient CT workflow for early, noninvasive, and spatial mapping of renal dysfunction.
- The GSH-Au NCs approach supports improved diagnosis, classification, and monitoring of kidney diseases.
- This method offers a significant advancement over traditional biomarkers by providing detailed, localized renal function assessment.

