Free Radical Imaging Using In Vivo Dynamic Nuclear Polarization-MRI #DNPNMR #ODNP

[nmrlearner]

From The DNP-NMR Blog:

Free Radical Imaging Using In Vivo Dynamic Nuclear Polarization-MRI #DNPNMR #ODNP

p.p1 {margin: 0.0px 0.0px 0.0px 36.0px; text-indent: -36.0px; font: 12.0px Helvetica}
Utsumi, H. and F. Hyodo, Free Radical Imaging Using In Vivo Dynamic Nuclear Polarization-MRI. Methods Enzymol, 2015. 564: p. 553-71.


https://www.ncbi.nlm.nih.gov/pubmed/26477265


Redox reactions that generate free radical intermediates are essential to metabolic processes, and their intermediates can produce reactive oxygen species, which may promote diseases related to oxidative stress. The development of an in vivo electron spin resonance (ESR) spectrometer and its imaging enables us noninvasive and direct measurement of in vivo free radical reactions in living organisms. The dynamic nuclear polarization magnetic resonance imaging (DNP-MRI), also called PEDRI or OMRI, is also a new imaging method for observing free radical species in vivo. The spatiotemporal resolution of free radical imaging with DNP-MRI is comparable with that in MRI, and each of the radical species can be distinguished in the spectroscopic images by changing the frequency or magnetic field of ESR irradiation. Several kinds of stable nitroxyl radicals were used as spin probes to detect in vivo redox reactions. The signal decay of nitroxyl probes, which is determined with in vivo DNP-MRI, reflects the redox status under oxidative stress, and the signal decay is suppressed by prior administration of antioxidants. In addition, DNP-MRI can also visualize various intermediate free radicals from the intrinsic redox molecules. This noninvasive method, in vivo DNP-MRI, could become a useful tool for investigating the mechanism of oxidative injuries in animal disease models and the in vivo effects of antioxidant drugs.
p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Helvetica} p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Helvetica}

Go to The DNP-NMR Blog for more info.