Multispectral optoacoustic imaging of dynamic redox correlation and pathophysiological progression utilizing upconversion nanoprobes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Xiangzhao Ai, Zhimin Wang, Haolun Cheong, Yong Wang, Ruochong Zhang, Jun Lin, Yuanjin Zheng, Mingyuan Gao, Bengang Xing

ABSTRACT

Precise and differential profiling of the dynamic correlations and pathophysiological implications of multiplex biological mediators with deep penetration and highly programmed precision remain critical challenges in clinics. Here we present an innovative strategy by tailoring a powerful multispectral optoacoustic tomography (MSOT) technique with a photon-upconverting nanoprobe (UCN) for simultaneous visualization of diversely endogenous redox biomarkers with excellent spatiotemporal resolution in living conditions. Upon incorporating two specific radicals-sensitive NIR cyanine fluorophores onto UCNs surface, such nanoprobes can orthogonally respond to disparate oxidative and nitrosative stimulation, and generate spectrally opposite optoacoustic signal variations, which thus achieves compelling superiorities for reversed ratiometric tracking of multiple radicals under dual independent wavelength channels, and significantly, for precise validating of their complex dynamics and correlations with redox-mediated pathophysiological procession in vivo. More... »

PAGES

1087

References to SciGraph publications

  • 2017-02. Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples in BRITISH JOURNAL OF CANCER
  • 2017-02-22. Amplified stimulated emission in upconversion nanoparticles for super-resolution nanoscopy in NATURE
  • 2013-05. Beyond oxidative stress: an immunologist's guide to reactive oxygen species in NATURE REVIEWS IMMUNOLOGY
  • 2014-04. Real-time imaging of oxidative and nitrosative stress in the liver of live animals for drug-toxicity testing in NATURE BIOTECHNOLOGY
  • 2006-10. Adipocytokines: mediators linking adipose tissue, inflammation and immunity in NATURE REVIEWS IMMUNOLOGY
  • 2009-08. Oxygen Toxicity and Reactive Oxygen Species: The Devil Is in the Details in PEDIATRIC RESEARCH
  • 2010-02. Simultaneous phase and size control of upconversion nanocrystals through lanthanide doping in NATURE
  • 2015-05. In situ conversion of porphyrin microbubbles to nanoparticles for multimodality imaging in NATURE NANOTECHNOLOGY
  • 2011-08. Volumetric real-time multispectral optoacoustic tomography of biomarkers in NATURE PROTOCOLS
  • 2012-11. JC-1: alternative excitation wavelengths facilitate mitochondrial membrane potential cytometry in CELL DEATH & DISEASE
  • 2015-11. Controlling upconversion nanocrystals for emerging applications in NATURE NANOTECHNOLOGY
  • 2016-08. Contrast agents for molecular photoacoustic imaging in NATURE METHODS
  • 1956-03. Mode of Action of Isoniazid in NATURE
  • 2014-08. Non-invasive multimodal functional imaging of the intestine with frozen micellar naphthalocyanines in NATURE NANOTECHNOLOGY
  • 2016-08. A practical guide to photoacoustic tomography in the life sciences in NATURE METHODS
  • 2011-04. Mechanisms of drug-induced liver injury: from bedside to bench in NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY
  • 2018-03. Activation of the surface dark-layer to enhance upconversion in a thermal field in NATURE PHOTONICS
  • 2006-12. The role of cytochrome P450 enzymes in endogenous signalling pathways and environmental carcinogenesis in NATURE REVIEWS CANCER
  • 2015-05. Breaking the depth dependency of phototherapy with Cerenkov radiation and low-radiance-responsive nanophotosensitizers in NATURE NANOTECHNOLOGY
  • 2016-01-20. In vivo covalent cross-linking of photon-converted rare-earth nanostructures for tumour localization and theranostics in NATURE COMMUNICATIONS
  • 2014-03. Semiconducting polymer nanoparticles as photoacoustic molecular imaging probes in living mice in NATURE NANOTECHNOLOGY
  • 2003-04. Early detection: The case for early detection in NATURE REVIEWS CANCER
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-019-09001-7

    DOI

    http://dx.doi.org/10.1038/s41467-019-09001-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112568200

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30842426


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