Evidence map›Paper›PMID 42522124›Full record

ArticleAdvanced healthcare materials2026

Negatively Charged Peptides-Assisted Self-Assembled Mitochondria-Targeting Nanoprobe for Detecting Enterokinase and Image-Guided Navigation in Human Breast Cancer.

Zhongxi Huang, Zhipeng Zhang, Zhengxin Chen, Yihang Su, Yihao Chen, Jiayun Wang, Chibin Pu, Di Zhang, Wei Huang, Changmin Yu

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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.

Zhongxi HuangState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Zhipeng ZhangState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Zhengxin ChenState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Yihang SuState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Yihao ChenState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Jiayun WangState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Chibin PuDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Di ZhangState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Wei HuangState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.
Changmin YuState Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (NanjingTech), Nanjing, China.ORCID https://orcid.org/0000-0002-4890-8742

Funding

Hunan UniversityKey Laboratory of Nuclear Medicine and Jiangsu Key Laboratory of Molecular Nuclear Medicine KF202203National Natural Science Foundation of China 62288102
6 · The paper itself

Abstract

Surgical resection remains the primary treatment in human breast cancer. However, the accurate and rapid delineation of tumor margins intraoperatively is still a significant challenge. Herein, we designed a near-infrared fluorescent probe DCIP-ENTK by incorporating dicyanoisophorone dye with a negatively charged peptide, which can be specifically cleaved by enterokinase (ENTK, a tumor biomarker for breast cancer). In vitro experiments confirmed that the probe could quickly (<10 min), specifically, and sensitively (LOD = 0.031 U/mL) respond to ENTK. Notably, this probe was engineered as a peptide-based architecture that can self-assemble into a nanoprobe. This design not only provides excellent biocompatibility and in vivo stability, but also enables specific mitochondria-targeting within cancer cells. Upon cleavage by ENTK, the released hydrophobic fluorophores aggregated at the enzyme-rich site. This unique aggregation-induced retention effect enabled long-term, high-contrast in situ imaging of tumor margins in tumor-bearing mice and human breast cancer samples, which offers a powerful and clinically translatable tool for improving the precision of cancer surgery. Finally, we also achieved the quantitation of ENTK levels in artificial human duodenal juice with recovery rates from 93.5% to 99.8%. These results confirm the suitability of our probe for the quantitation of ENTK in real samples.

Indexed as

Breast NeoplasmsEnteropeptidaseMitochondriaNanoparticlesPeptidesAnimalsCell Line, TumorFemaleFluorescent Chemosensor CompoundsFluorescent DyesHumansMiceMice, NudeEnteropeptidaseFluorescent Chemosensor CompoundsFluorescent DyesPeptidesenterokinasefluorescent probehuman breast cancerimage‐guided navigationmitochondria‐targeting

Identifiers

PMID42522124
PMCPMC13542961

What OpenQuestion holds

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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.