Understanding of catalytic ROS generation from defect-rich graphene quantum-dots for therapeutic effects in tumor microenvironment View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-10-26

AUTHORS

Xichu Wang, Chuangang Hu, Zi Gu, Liming Dai

ABSTRACT

Owing to their low cost, high catalytic efficiency and biocompatibility, carbon-based metal-free catalysts (C-MFCs) have attracted intense interest for various applications, ranging from energy through environmental to biomedical technologies. While considerable effort and progress have been made in mechanistic understanding of C-MFCs for non-biomedical applications, their catalytic mechanism for therapeutic effects has rarely been investigated. In this study, defect-rich graphene quantum dots (GQDs) were developed as C-MFCs for efficient ROS generation, specifically in the H2O2-rich tumor microenvironment to cause multi-level damages of subcellular components (even in nuclei). While a desirable anti-cancer performance was achieved, the catalytic performance was found to strongly depend on the defect density. It is for the first time that the defect-induced catalytic generation of ROS by C-MFCs in the tumor microenvironment was demonstrated and the associated catalytic mechanism was elucidated. This work opens a new avenue for the development of safe and efficient catalytic nanomedicine. More... »

PAGES

340

References to SciGraph publications

  • 2014-07-15. Free Radicals: Properties, Sources, Targets, and Their Implication in Various Diseases in INDIAN JOURNAL OF CLINICAL BIOCHEMISTRY
  • 2006-06-27. The comet assay: a method to measure DNA damage in individual cells in NATURE PROTOCOLS
  • 2021-01-04. Anomalous collapses of Nares Strait ice arches leads to enhanced export of Arctic sea ice in NATURE COMMUNICATIONS
  • 2000-12. Hydroxyl radical production by ascorbate and hydrogen peroxide in NEUROTOXICITY RESEARCH
  • 2020-06-08. Marriage of black phosphorus and Cu2+ as effective photothermal agents for PET-guided combination cancer therapy in NATURE COMMUNICATIONS
  • 2007-08-26. Intrinsic peroxidase-like activity of ferromagnetic nanoparticles in NATURE NANOTECHNOLOGY
  • 2014-10-09. Alleviation effect of arbutin on oxidative stress generated through tyrosinase reaction with l-tyrosine and l-DOPA in BMC MOLECULAR AND CELL BIOLOGY
  • 2009-09-03. Expression, purification and use of recombinant annexin V for the detection of apoptotic cells in NATURE PROTOCOLS
  • 2018-04-12. In vivo guiding nitrogen-doped carbon nanozyme for tumor catalytic therapy in NATURE COMMUNICATIONS
  • 2012-03-07. Zinc oxide nanoparticles induce oxidative DNA damage and ROS-triggered mitochondria mediated apoptosis in human liver cells (HepG2) in APOPTOSIS
  • 2020-02-18. Bruceine D induces lung cancer cell apoptosis and autophagy via the ROS/MAPK signaling pathway in vitro and in vivo in CELL DEATH & DISEASE
  • 2004-03. The comet assay for DNA damage and repair in MOLECULAR BIOTECHNOLOGY
  • 2016-01. Erratum: Carbon-based metal-free catalysts in NATURE REVIEWS MATERIALS
  • 2021-02-18. Capturing functional two-dimensional nanosheets from sandwich-structure vermiculite for cancer theranostics in NATURE COMMUNICATIONS
  • 2020-03-30. Targeted tumour theranostics in mice via carbon quantum dots structurally mimicking large amino acids in NATURE BIOMEDICAL ENGINEERING
  • 2015-12-07. Cell type-dependent ROS and mitophagy response leads to apoptosis or necroptosis in neuroblastoma in ONCOGENE
  • 2021-02-16. Biocompatible nucleus-targeted graphene quantum dots for selective killing of cancer cells via DNA damage in COMMUNICATIONS BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12951-021-01053-6

    DOI

    http://dx.doi.org/10.1186/s12951-021-01053-6

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34702276


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