Feasibility of precise and reliable glucose quantification in human whole blood samples by 1 tesla benchtop NMR.
MRS and MRSI methods
applications
body
diabetes
methods and engineering
post-acquisition processing
quantitation
spectroscopic quantitation
Journal
NMR in biomedicine
ISSN: 1099-1492
Titre abrégé: NMR Biomed
Pays: England
ID NLM: 8915233
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
31
10
2019
revised:
15
05
2020
accepted:
03
06
2020
pubmed:
4
7
2020
medline:
8
10
2021
entrez:
4
7
2020
Statut:
ppublish
Résumé
The standard procedure for blood glucose measurements is enzymatic testing. This method is cheap, but requires small samples of open blood with direct contact to the test medium. In principle, NMR provides non-contact analysis of body fluids, but high-field spectrometers are expensive and cannot be easily utilized under clinical conditions. Low-field NMR systems with permanent magnets are becoming increasingly smaller and more affordable. The studies presented here aim at exploring the capabilities of low-field NMR for measuring glucose concentrations in whole blood. For this purpose, a modern 1 T benchtop NMR spectrometer was used. Challenges arise from broad spectral lines, the glucose peak locations close to the water signal, low SNR and the interference with signals from other blood components. Whole blood as a sample comprises even more boundary conditions: crucial for reliable results are avoiding the separation of plasma and cells by gravitation and reliable reference values. First, the accuracy of glucose levels measured by NMR was tested using aqueous glucose solutions and commercially available bovine plasma. Then, 117 blood samples from oral glucose tolerance testing were measured with minimal preparation by simple pulse-acquire NMR experiments. The analysis itself is the key to achieve high precision, so several approaches were investigated: peak integration, orthogonal projection to latent structure analysis and support vector machine regression. Correlations between results from the NMR spectra and the routine laboratory automated analyzer revealed an RMSE of 7.90 mg/dL for the best model. 91.5% of the model output lies within the limits of the German Medical Association guidelines, which require the glucose measurement to be within 11% of the reference method. It is concluded that spectral quantification of glucose in whole blood samples by high-quality NMR spectrometers operating at 1 T is feasible with sufficient accuracy.
Substances chimiques
Blood Glucose
0
Solutions
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4358Informations de copyright
© 2020 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.
Références
American Diabetes Association. Diabetes care in the hospital: standards of medical care in diabetes-2018. Diabetes Care. 2018;41(Suppl 1):S144-S151. https://doi.org/10.2337/dc18-S014
Pertinhez TA, Casali E, Lindner L, Spisni A, Baricchi R, Berni P. Biochemical assessment of red blood cells during storage by 1H nuclear magnetic resonance spectroscopy. Identification of a biomarker of their level of protection against oxidative stress. Blood Transfus. 2014;12(4):548-556. https://doi.org/10.2450/2014.0305-13
Villena Gonzales W, Mobashsher AT, Abbosh A. The progress of glucose monitoring-a review of invasive to minimally and non-invasive techniques, devices and sensors. Sensors. 2019;19(4):800. https://doi.org/10.3390/s19040800
Lei K-M, Heidari H, Mak P-I, Law M-K, Maloberti F, Martins RP. A handheld high-sensitivity micro-NMR CMOS platform with B-field stabilization for multi-type biological/chemical assays. IEEE J Solid-State Circuits. 2017;52(1):284-297. https://doi.org/10.1109/JSSC.2016.2591551
Lei K-M, Mak P-I, Law M-K, Martins RP. CMOS biosensors for in vitro diagnosis-transducing mechanisms and applications. Lab Chip. 2016;16(19):3664-3681. https://doi.org/10.1039/c6lc01002d
Beckonert O, Keun HC, Ebbels TMD, et al. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc. 2007;2(11):2692-2703. https://doi.org/10.1038/nprot.2007.376
Danieli E, Perlo J, Blümich B, Casanova F. Small magnets for portable NMR spectrometers. Angew Chem Int Ed Engl. 2010;49(24):4133-4135. https://doi.org/10.1002/anie.201000221
Dona AC, Jiménez B, Schäfer H, et al. Precision high-throughput proton NMR spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping. Anal Chem. 2014;86(19):9887-9894. https://doi.org/10.1021/ac5025039
Luaibi AY, Al-Ghusain AJ, Rahman A, Al-Sayah MH, Al-Nashash HA. Noninvasive blood glucose level measurement using nuclear magnetic resonance. In: 2015 IEEE 8th GCC Conference & Exhibition. Muscat, Oman: IEEE; 2015:1-4.
Percival BC, Grootveld M, Gibson M, et al. Low-field, benchtop NMR spectroscopy as a potential tool for point-of-care diagnostics of metabolic conditions: validation, protocols and computational models. High Throughput. 2018;8(1). https://doi.org/10.3390/ht8010002
International Federation of Clinical Chemistry and Laboratory Medicine. IFCC recommendation on reporting results for blood glucose. Clin Chim Acta. 2001;307(1/2):205-209. https://doi.org/10.1016/S0009-8981(01)00431-4
de Brouwer H. Evaluation of algorithms for automated phase correction of NMR spectra. J Magn Reson. 2009;201(2):230-238. https://doi.org/10.1016/j.jmr.2009.09.017
Eilers PHC. A perfect smoother. Anal Chem. 2003;75(14):3631-3636. https://doi.org/10.1021/ac034173t
Passing H, Bablok W. A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry, Part I. J Clin Chem Clin Biochem. 1983;21(11):709-720.
Padoan, A. Passing and Bablok regression. MATLAB Central File Exchange. 2019. https://www.mathworks.com/matlabcentral/fileexchange/24894-passing-and-bablok-regression.
Uchida K, Matuse R, Toyoda E, Okuda S, Tomita S. A new method of inhibiting glycolysis in blood samples. Clin Chim Acta. 1988;172(1):101-108. https://doi.org/10.1016/0009-8981(88)90125-8
Barthwal MS. Analysis of arterial blood gases-a comprehensive approach. J Assoc Physicians India. 2004;52:573-577.
Matviychuk Y, Yeo J, Holland DJ. A field-invariant method for quantitative analysis with benchtop NMR. J Magn Reson. 2019;298:35-47. https://doi.org/10.1016/j.jmr.2018.11.010
Baumann K, Angerer J. Occupational chronic exposure to organic solvents. VI. Formic acid concentration in blood and urine as an indicator of methanol exposure. Int Arch Occup Environ Health. 1979;42(3-4):241-249. https://doi.org/10.1007/bf00377778
Fobker M. Stability of glucose in plasma with different anticoagulants. Clin Chem Lab Med. 2014;52(7):1057-1060. https://doi.org/10.1515/cclm-2013-1049
Bland JM, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;327(8476):307-310. https://doi.org/10.1016/S0140-6736(86)90837-8
Angelis G, de Posteraro B, de Carolis E, et al. T2Bacteria magnetic resonance assay for the rapid detection of ESKAPEc pathogens directly in whole blood. J Antimicrob Chemother. 2018;73(suppl_4):iv20-iv26. https://doi.org/10.1093/jac/dky049
Klein, R. Bland-Altman and Correlation Plot. MATLAB Central File Exchange. Retrieved October 14, 2019. 2019. https://www.mathworks.com/matlabcentral/fileexchange/45049-bland-altman-and-correlation-plot.
Bruce SD, Higinbotham J, Marshall I, Beswick PH. An analytical derivation of a popular approximation of the Voigt function for quantification of NMR spectra. J Magn Reson. 2000;142(1):57-63. https://doi.org/10.1006/jmre.1999.1911
Lim, H. PeakFit. GitHub. Retrieved September 4, 2019. 2019. https://www.github.com/heriantolim/PeakFit.
Brereton RG, Lloyd GR. Partial least squares discriminant analysis: taking the magic away. J Chemom. 2014;28(4):213-225. https://doi.org/10.1002/cem.2609
Trygg J, Wold S. Orthogonal projections to latent structures (O-PLS). J. Chemom. 2002;16(3):119-128. https://doi.org/10.1002/cem.695
Laboratory for Bioanalytical Spectroscopy, Department of Biochemistry, Institute of Integrative Biology, University of Liverpool. Cluster-Toolbox. GitHub, Retrieved March 15, 2019. 2019. https://github.com/Biospec/cluster-toolbox-v2.0.
Bundesärztekammer. Neufassung der Richtlinie der Bundesärztekammer zur Qualitätssicherung laboratoriumsmedizinischer Untersuchungen-Rili-BÄK. Dtsch Ärztebl. 2014;111(38):A1583-A1618. https://www.bundesaerztekammer.de/fileadmin/user_upload/downloads/pdf-Ordner/RL/Rili-BAEK-Laboratoriumsmedizin.pdf. Accessed October 21, 2019.
Nicholson JK, Foxall PJD, Spraul M, Farrant RD, Lindon JC. 750 MHz 1H and 1H-13C NMR spectroscopy of human blood plasma. Anal Chem. 1995;67(5):793-811. https://doi.org/10.1021/ac00101a004
Trautwein EA, Hayes KC. Plasma and whole blood taurine concentrations respond differently to taurine supplementation (humans) and depletion (cats). Z Ernahrungswiss. 1995;34(2):137-142. https://doi.org/10.1007/bf01636947
Leung K-Y, Mills K, Burren KA, Copp AJ, Greene NDE. Quantitative analysis of myo-inositol in urine, blood and nutritional supplements by high-performance liquid chromatography tandem mass spectrometry. J Chromatogr B. 2011;879(26):2759-2763. https://doi.org/10.1016/j.jchromb.2011.07.043
Tynkkynen T, Tiainen M, Soininen P, Laatikainen R. From proton nuclear magnetic resonance spectra to pH. Assessment of 1H NMR pH indicator compound set for deuterium oxide solutions. Anal Chim Acta. 2009;648(1):105-112. https://doi.org/10.1016/j.aca.2009.06.047
Kriat M, Confort-Gouny S, Vion-Dury J, Sciaky M, Viout P, Cozzone PJ. Quantitation of metabolites in human blood serum by proton magnetic resonance spectroscopy. A comparative study of the use of formate and TSP as concentration standards. NMR Biomed. 1992;5(4):179-184. https://doi.org/10.1002/nbm.1940050404
Gambino R, Piscitelli J, Ackattupathil TA, et al. Acidification of blood is superior to sodium fluoride alone as an inhibitor of glycolysis. Clin Chem. 2009;55(5):1019-1021. https://doi.org/10.1373/clinchem.2008.121707
Bryant RG, Marill K, Blackmore C, Francis C. Magnetic relaxation in blood and blood clots. Magn Reson Med. 1990;13(1):133-144. https://doi.org/10.1002/mrm.1910130112
Gouilleux B, Charrier B, Akoka S, Giraudeau P. Gradient-based solvent suppression methods on a benchtop spectrometer. Magn Reson Chem. 2017;55(2):91-98. https://doi.org/10.1002/mrc.4493
Blümich B. Low-field and benchtop NMR. J Magn Reson. 2019;306:27-35. https://doi.org/10.1016/j.jmr.2019.07.030
Klempfner R, Erez A, Sagit B-Z, et al. Elevated triglyceride level is independently associated with increased all-cause mortality in patients with established coronary heart disease: twenty-two-year follow-up of the Bezafibrate Infarction Prevention study and registry. Circ Cardiovasc Qual Outcomes. 2016;9(2):100-108. https://doi.org/10.1161/CIRCOUTCOMES.115.002104