Evidence map›Paper›PMID 41047490›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Metalloporphyrin Nanosystem Enables Non-Invasive Visualization and Specific Treatment for Thrombosis and Ischemic Stroke.

Ziwei Wang, Liping Zhang, Zihan Wu, Nan Xiao, Wenxin Zheng, Yachao Wang, Gelin Xu, Dongxia Zhu, Martin R Bryce, Lijie Ren and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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

11 authors.

Ziwei WangKey Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Department of Chemistry, Northeast Normal University, 5268 Renmin Street, Changchun, Jilin Province, 130024, China.
Liping ZhangDepartment of Neurology, Inst Translat Med, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China.
Zihan WuKey Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Department of Chemistry, Northeast Normal University, 5268 Renmin Street, Changchun, Jilin Province, 130024, China.
Nan XiaoDepartment of Neurology, Inst Translat Med, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China.
Wenxin ZhengKey Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Department of Chemistry, Northeast Normal University, 5268 Renmin Street, Changchun, Jilin Province, 130024, China.
Yachao WangDepartment of Neurology, Inst Translat Med, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China.
Gelin XuDepartment of Neurology, Inst Translat Med, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China.
Dongxia ZhuKey Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Department of Chemistry, Northeast Normal University, 5268 Renmin Street, Changchun, Jilin Province, 130024, China.
Martin R BryceDepartment of Chemistry, Durham University, Durham, DH1 3LE, UK.ORCID https://orcid.org/0000-0003-2097-7823
Lijie RenDepartment of Neurology, Inst Translat Med, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China.
Ben Zhong TangSchool of Science and Engineering Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong Shenzhen, Guangdong, 518172, China.ORCID https://orcid.org/0000-0002-0293-964X

Funding

Basic research projects of Shenzhen Science and Technology Program RCBS20210609104631086China Postdoctoral Science Foundation 2021M692214Development and Reform Commission of Jilin Province 2024C017-4EPSRC (UK) EP/L02621X/1Key Scientific and Technological Project of Jilin Province 20240402036GHNatural Science Foundation of Guangdong Province 2023A1515010169Noncommunicable Chronic Diseases - National Science and Technology Major Project 2023ZD0504800Noncommunicable Chronic Diseases - National Science and Technology Major Project 2023ZD0504802NSFC 52473167Science and Technology Innovation Commission of Shenzhen ZDSYS20200811142600003Shenzhen Clinical Research Center for Neurological Diseases LCYSSQ20220823091204009Sino-German Mobility Programme of the National Natural Science Foundation of China M-0536Team-based Medical Science Research Program 2024YZZ01
6 · The paper itself

Abstract

Thrombotic ischemic stroke (IS) is a severe neurological disease of the brain, with high global mortality and disability rates. The significant temporal disconnect and lack of coordination between thrombolysis (≥15% hemorrhage risk from short half-life thrombolytics) and IS treatment results in limited clinical efficacy. Innovative strategies are required to: 1) resolve stereochemical conflicts in single-molecule multifunctional materials; 2) enable spatiotemporal functions for effective diagnosis and treatment; 3) establish unambiguous structure-property relationships. Herein, 4IrMn nanoparticles (NPs), with a dual transition metal core exhibit an endogenous peroxynitrite (ONOO

Indexed as

Ischemic StrokeMetalloporphyrinsNanoparticlesThrombosisAnimalsDisease Models, AnimalMicePhotochemotherapyThrombolytic TherapyMetalloporphyrinsiridium complexischemic strokemetalloporphyrinsingle‐moleculethrombolysis

Identifiers

PMID41047490
PMCPMC12713076

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.