Evidence map›Paper›PMID 41311285›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Multifunctional Fe-Doped MOF-808 Nanocomposites for Chemo/Chemodynamic Synergistic Therapy.

Yang Wang, Ying Pan, Stephen Sproules, Jianqiang Liu, Ross S Forgan

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. 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. Review
  2. Review
  3. Review
  4. Article
  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

5 authors.

Yang WangSchool of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Ying PanSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
Stephen SproulesSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
Jianqiang LiuSchool of Pharmacy, Guangdong Medical University, Dongguan, Guangdong, 523808, China.
Ross S ForganSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.ORCID https://orcid.org/0000-0003-4767-6852

Funding

China Scholarship Council 202106300024Engineering and Physical Sciences Research Council EP/W02134X/1
6 · The paper itself

Abstract

Theranostic nanomedicines combining targeted drug delivery and emerging therapeutic modalities with diagnosis are a rapidly evolving field in cancer therapy. In addition to conventional drug delivery, metal-organic frameworks (MOFs), consisting of metal ions/clusters and multitopic organic ligands, have been recently highlighted as ideal candidates for chemodynamic therapy (CDT) where active metal ions can be integrated at inorganic secondary building units or coordinated to linkers to act as CDT catalysts. Metal doping provides a potential approach to endow archetypal MOFs with enhanced CDT efficacy; herein, a novel PEGylated Fe-doped MOF-808 is reported, which is embedded with ultrasmall gold nanoparticles and manganese ions, can deliver carboplatin (CA) and achieve chemotherapeutic-chemodynamic (CT/CDT) synergistic therapy. 2D and 3D in vitro experiments demonstrate the synergistic therapeutic efficacy of CT and CDT, while the nanocomposite also shows magnetic resonance imaging potential. Therefore, this work provides a novel protocol to construct multi-metal doped MOFs as promising candidates in diagnostic and multimodal therapeutic applications.

Indexed as

IronMetal-Organic FrameworksNanocompositesCell Line, TumorGoldHumansMetal NanoparticlesTheranostic NanomedicineGoldIronMetal-Organic Frameworkschemodynamic therapydrug deliverymagnetic resonance imagingmetal dopingMOF‐808synergistic therapy

Identifiers

PMID41311285
PMCPMC12809198

What OpenQuestion holds

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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.