Evidence map›Paper›PMID 36060105›Full record

ArticleMaterials today. Bio2022

Redox homeostasis modulation using theranostic AIE nanoparticles results in positive-feedback drug accumulation and enhanced drug penetration to combat drug-resistant cancer.

Shaoqing Chen, Ziyu Wang, Li Liu, Yuting Li, Xinye Ni, Hong Yuan, Cheng Wang

Abstract read
In one paragraph

Article in Materials today. Bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Shaoqing ChenSecond People's Hospital of Changzhou, Nanjing Medical University, Changzhou, Jiangsu, China.
Ziyu WangState Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, China.
Li LiuSchool of Pharmacy, Changzhou University, Changzhou, Jiangsu, China.
Yuting LiSchool of Pharmacy, Changzhou University, Changzhou, Jiangsu, China.
Xinye NiSecond People's Hospital of Changzhou, Nanjing Medical University, Changzhou, Jiangsu, China.
Hong YuanCollege of Pharmaceutical Sciences, Zhejiang University, Yuhangtang Road 866, Hangzhou, Zhejiang, China.
Cheng WangSchool of Pharmacy, Changzhou University, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-resistant cancers usually have multiple barriers to compromise the effect of therapies, of which multidrug-resistance (MDR) phenotype as the intracellular barrier and dense tumor matrix as the extracellular barrier, significantly contribute to the poor anticancer performance of current drug delivery systems (DDS). Here in this study, we fabricated a novel aggregation-induced emission (AIE)-active polymer capable of self-assembling into ultrasmall nanoparticles (∼20 ​nm) with D-alpha Tocopheryl Polyethylene Glycol Succinate (TPGS), for dual-encapsulating of doxorubicin (Dox) and sulforaphane (SFN) (AT/Dox/SFN). It revealed that redox homeostasis modulation of MDR cells (MCF-7/Adr) using AT/Dox/SFN can trigger mitochondria damage and ATP deficiency, which reverse the MDR phenotype of MCF-7/Adr cells to afford enhanced cellular uptake of both drug and DDS in a positive-feedback manner. The enhanced cellular drug accumulation further initiates the "neighboring effect" for improved drug penetration. Using this strategy, the growth of

Indexed as

Aggregation-induced emissionDrug delivery systemsMultidrug drug resistancePositive-feedbackRedox homeostasis modulation

Identifiers

PMID36060105
PMCPMC9434132

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.