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Chemistry - A European Journal
Article . 2019 . Peer-reviewed
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Chemistry - A European Journal
Article
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Other literature type . 2019
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HAL Université de Tours
Article . 2019
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High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

Authors: Bödenler, Markus; Malikidogo, Kyangwi; Morfin, Jean-François; Aigner, Christoph; Tóth, Éva; Bonnet, Célia; Scharfetter, Hermann;

High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing

Abstract

AbstractMany smart magnetic resonance imaging (MRI) probes provide response to a biomarker based on modulation of their rotational correlation time. The magnitude of such MRI signal changes is highly dependent on the magnetic field and the response decreases dramatically at high fields (>2 T). To overcome the loss of efficiency of responsive probes at high field, with fast‐field cycling magnetic resonance imaging (FFC‐MRI) we exploit field‐dependent information rather than the absolute difference in the relaxation rate measured in the absence and in the presence of the biomarker at a given imaging field. We report here the application of fast field‐cycling techniques combined with the use of a molecular probe for the detection of Zn2+ to achieve 166 % MRI signal enhancement at 3 T, whereas the same agent provides no detectable response using conventional MRI. This approach can be generalized to any biomarker provided the detection is based on variation of the rotational motion of the probe.

Country
France
Keywords

Gadolinium, Serum Albumin, Human, Biosensing Techniques, Ligands, Magnetic Resonance Imaging, Communications, [SDV] Life Sciences [q-bio], Zinc, Electromagnetic Fields, Coordination Complexes, Limit of Detection, Molecular Probes, Thermodynamics, Biomarkers

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    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
hybrid
Related to Research communities