Evidence map›Paper›PMID 42213841›Full record

ArticleScience advances2026

Contrast-sparing CT using renal-clearable gold nanoclusters for early spatial mapping of renal dysfunction.

Jinbin Pan, Li Ma, Hua Ma, Yuanlin Zhang, Iris Y Zhou, Nicholas J Rotile, Dong Li, Onofrio A Catalano, Shao-Kai Sun, Peter Caravan

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jinbin PanDepartment of Radiology, Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.ORCID 0000-0002-8398-760X
Li MaDepartment of Radiology, Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Hua MaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0002-7966-6862
Yuanlin ZhangAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0002-3139-3754
Iris Y ZhouAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0002-4351-7398
Nicholas J RotileAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0001-6568-9927
Dong LiDepartment of Radiology, Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Onofrio A CatalanoHarvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-7733-4138
Shao-Kai SunSchool of Medical Imaging, Division of Medical Technology, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin 300203, China.ORCID 0000-0001-6136-9969
Peter CaravanAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0002-3179-6537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early, noninvasive, and spatially resolved assessment of renal dysfunction is essential for theranostics of kidney diseases, yet clinical biomarkers are criticized for averaging whole-kidney function and missing focal or unilateral injury. Here, we present a contrast-sparing computed tomography (CT) approach that maps renal dysfunction at the compartment level using renal-clearable glutathione-gold nanoclusters (GSH-Au NCs). The merits of ultrasmall hydrodynamic size (2.8 nanometers) and high x-ray attenuation ability enable GSH-Au NCs with fast renal clearance and robust intrarenal CT contrast. In three mechanistically distinct mouse models of acute kidney injury, low-dose GSH-Au NCs produced mechanism-specific imaging signatures and distinct time-attenuation behaviors, even before biomarkers changed. Notably, at an ultralow dose (32.5 milligrams of Au per kilogram), early bilateral cisplatin injury can be easily detected with an obvious bright band at the outer medulla area on CT, consistent with tubular injury and a cast/debris-mediated mechanism. This work establishes a dose-efficient CT workflow for early, noninvasive, spatial mapping of renal dysfunction, supporting diagnosis, classification, and monitoring of kidney disease.

Indexed as

Acute Kidney InjuryContrast MediaGoldKidneyKidney DiseasesMetal NanoparticlesTomography, X-Ray ComputedAnimalsCisplatinDisease Models, AnimalGlutathioneMiceCisplatinContrast MediaGlutathioneGold

Identifiers

PMID42213841
PMCPMC13220870

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.