Detecting acetylated aminoacids in blood serum using hyperpolarized C-13-H-1-2D-NMR
authors Katsikis, S; Marin-Montesinos, I; Ludwig, C; Gunther, UL
nationality International
journal JOURNAL OF MAGNETIC RESONANCE
author keywords DNP; Dynamic nuclear polarization; Aminoacids; Metabolism
keywords NMR; POLARIZATION; METABOLISM; BINDING
abstract Dynamic Nuclear Polarization (DNP) can substantially enhance the sensitivity of NMR experiments. Among the implementations of DNP, ex-situ dissolution DNP (dDNP) achieves high signal enhancement levels owing to a combination of a large temperature factor between 1.4 and 300 K with the actual DNP effect in the solid state at 1.4 K. For sufficiently long T-1 relaxation times much of the polarization can be preserved during dissolution with hot solvent, thus enabling fast experiments during the life time of the polarization. Unfortunately, for many metabolites found in biological samples such as blood, relaxation times are too short to achieve a significant enhancement. We have therefore introduced C-13-carbonyl labeled acetyl groups as probes into amino acid metabolites using a simple reaction protocol. The advantage of such tags is a sufficiently long T-1 relaxation time, the possibility to enhance signal intensity by introducing C-13, and the possibility to identify tagged metabolites in NMR spectra. We demonstrate feasibility for mixtures of amino acids and for blood serum. In two-dimensional dDNP-enhanced HMQC experiments of these samples acquired in 8 s we can identify acetylated amino acids and other metabolites based on small differences in chemical shifts. (C) 2019 Published by Elsevier Inc.
publisher ACADEMIC PRESS INC ELSEVIER SCIENCE
issn 1090-7807
isbn 1096-0856
year published 2019
volume 305
beginning page 175
ending page 179
digital object identifier (doi) 10.1016/j.jmr.2019.07.003
web of science category Biochemical Research Methods; Physics, Atomic, Molecular & Chemical; Spectroscopy
subject category Biochemistry & Molecular Biology; Physics; Spectroscopy
unique article identifier WOS:000476468100023
  ciceco authors
  impact metrics
journal analysis (jcr 2019):
journal impact factor 2.624
5 year journal impact factor 2.565
category normalized journal impact factor percentile 62.044
dimensions (citation analysis):
altmetrics (social interaction):



 


Apoio

1suponsers_list_ciceco.jpg