Evidence map›Paper›PMID 42006735›Full record

ArticleMaterials today. Bio2026

A natural remedy: Kidney-targeting nanoplatform for photoacoustic imaging-guided three-in-one theranostics of rhabdomyolysis-induced acute kidney injury.

Xuhui Zhao, Yarong Jin, Yahong Han, Jin Zhang, Qi Zhang, Shilei Ren, Juan Li, Shijie Liu, Jie Dong, Jingmiao Wu and 4 more

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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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

14 authors.

Xuhui ZhaoShanxi Provincial People's Hospital (Affiliated to Shanxi Medical University), Taiyuan, 030012, China.
Yarong JinShanxi Provincial People's Hospital (Affiliated to Shanxi Medical University), Taiyuan, 030012, China.
Yahong HanShanxi Provincial People's Hospital (Affiliated to Shanxi Medical University), Taiyuan, 030012, China.
Jin ZhangShanxi Provincial People's Hospital (Affiliated to Shanxi Medical University), Taiyuan, 030012, China.
Qi ZhangShanxi Medical University, Taiyuan, 030001, China.
Shilei RenCollege of Computer Science and Technology, North University of China, Taiyuan, 030051, China.
Juan LiShanxi Medical University, Taiyuan, 030001, China.
Shijie LiuShanxi Medical University, Taiyuan, 030001, China.
Jie DongShanxi Medical University, Taiyuan, 030001, China.
Jingmiao WuShanxi Medical University, Taiyuan, 030001, China.
Xiaojing FuShanxi Provincial People's Hospital (Affiliated to Shanxi Medical University), Taiyuan, 030012, China.
Ting XuShanxi Provincial People's Hospital (Affiliated to Shanxi Medical University), Taiyuan, 030012, China.
Jinghua SunShanxi Medical University, Taiyuan, 030001, China.
Ruiping ZhangShanxi Provincial People's Hospital (Affiliated to Shanxi Medical University), Taiyuan, 030012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high lethality of acute kidney injury (AKI) and the lack of safe and effective theranostic strategies pose significant challenges in clinical practice. Natural remedies are emerging as a promising alternative approach to alleviate AKI. Herein, we develop a novel kidney-targeting nanoplatform, MNPC@SC, which is engineered for pH-responsive drug release. Concretely, MNPC@SC encapsulates the natural bioactive ingredients curcumin (Cur) and melanin nanoparticles (MNPs) within a sialic acid (SA)-crosslinked chitosan shell, ensuring active renal targeting and optimal drug delivery via the electrostatic interactions between SA and chitosan. The acidic microenvironment of AKI triggers the responsive degradation of the MNPC@SC, further enabling the controlled release of MNPs and Cur specifically within the injured kidneys. The released MNPs and Cur achieve highly effective anti-inflammatory, anti-apoptotic, and anti-oxidant treatment, while MNPs serve as a contrast agent for photoacoustic (PA) imaging to self-monitor the drug distribution. To sum up, this pH-responsive targeting nanoplatform, MNPC@SC, as a new natural remedy, is believed to achieve efficient PA imaging-guided three-in-one synergistic therapy for AKI, which may pave the way for exploring highly efficient and safe theranostic strategies for severe kidney injury.

Indexed as

Acute kidney injuryAnti-inflammationAnti-oxidantKidney-targetingMNPs

Identifiers

PMID42006735
PMCPMC13087793

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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.