1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients

Michael B Lauridsen; Henning Bliddal; Robin Christensen; Bente Danneskiold-Samsøe; Robert Bennett; Hector Keun; John C Lindon; Jeremy K Nicholson; Mikkel H Dorff; Jerzy W Jaroszewski; Steen Honore Hansen; Claus Cornett

doi:10.1021/pr1002774

1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients

Michael B Lauridsen, Henning Bliddal, Robin Christensen, Bente Danneskiold-Samsøe, Robert Bennett, Hector Keun, John C Lindon, Jeremy K Nicholson, Mikkel H Dorff, Jerzy W Jaroszewski, Steen Honore Hansen, Claus Cornett

67 Citations (Scopus)

Abstract

1H NMR spectroscopy-based metabolic phenotyping was used to identify biomarkers in the plasma of patients with rheumatoid arthritis (RA). Forty-seven patients with RA (23 with active disease at baseline and 24 in remission) and 51 healthy subjects were evaluated during a one-year follow-up with assessments of disease activity (DAS-28) and 1H NMR spectroscopy of plasma samples. Discriminant analysis provided evidence that the metabolic profiles predicted disease severity. Cholesterol, lactate, acetylated glycoprotein, and lipid signatures were found to be candidate biomarkers for disease severity. The results also supported the link between RA and coronary artery disease. Repeated assessment using mixed linear models showed that the predictors obtained from metabolic profiles of plasma at baseline from patients with active RA were significantly different from those of patients in remission (P=0.0007). However, after 31 days of optimized therapy, the two patient groups were not significantly different (P=0.91). The metabolic profiles of both groups of RA patients were different from the healthy subjects. 1H NMR-based metabolic phenotyping of plasma samples in patients with RA is well suited for discovery of biomarkers and may be a potential approach for disease monitoring and personalized medication for RA therapy.

Original language	English
Journal	Journal of Proteome Research
Volume	9
Issue number	9
Pages (from-to)	4545-4553
ISSN	1535-3893
DOIs	https://doi.org/10.1021/pr1002774
Publication status	Published - 3 Sept 2010

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Faculty of Health and Medical Sciences

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10.1021/pr1002774

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Lauridsen, M. B., Bliddal, H., Christensen, R., Danneskiold-Samsøe, B., Bennett, R., Keun, H., Lindon, J. C., Nicholson, J. K., Dorff, M. H., Jaroszewski, J. W., Hansen, S. H., & Cornett, C. (2010). 1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients. Journal of Proteome Research, 9(9), 4545-4553. https://doi.org/10.1021/pr1002774

Lauridsen, MB, Bliddal, H, Christensen, R, Danneskiold-Samsøe, B, Bennett, R, Keun, H, Lindon, JC, Nicholson, JK, Dorff, MH, Jaroszewski, JW, Hansen, SH & Cornett, C 2010, '1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients', Journal of Proteome Research, vol. 9, no. 9, pp. 4545-4553. https://doi.org/10.1021/pr1002774

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title = "1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients",

abstract = "1H NMR spectroscopy-based metabolic phenotyping was used to identify biomarkers in the plasma of patients with rheumatoid arthritis (RA). Forty-seven patients with RA (23 with active disease at baseline and 24 in remission) and 51 healthy subjects were evaluated during a one-year follow-up with assessments of disease activity (DAS-28) and 1H NMR spectroscopy of plasma samples. Discriminant analysis provided evidence that the metabolic profiles predicted disease severity. Cholesterol, lactate, acetylated glycoprotein, and lipid signatures were found to be candidate biomarkers for disease severity. The results also supported the link between RA and coronary artery disease. Repeated assessment using mixed linear models showed that the predictors obtained from metabolic profiles of plasma at baseline from patients with active RA were significantly different from those of patients in remission (P=0.0007). However, after 31 days of optimized therapy, the two patient groups were not significantly different (P=0.91). The metabolic profiles of both groups of RA patients were different from the healthy subjects. 1H NMR-based metabolic phenotyping of plasma samples in patients with RA is well suited for discovery of biomarkers and may be a potential approach for disease monitoring and personalized medication for RA therapy.",

keywords = "Faculty of Health and Medical Sciences",

author = "Lauridsen, {Michael B} and Henning Bliddal and Robin Christensen and Bente Danneskiold-Sams{\o}e and Robert Bennett and Hector Keun and Lindon, {John C} and Nicholson, {Jeremy K} and Dorff, {Mikkel H} and Jaroszewski, {Jerzy W} and Hansen, {Steen Honore} and Claus Cornett",

note = "Keywords: metabonomics, phenotyping, NMR, rheumatoid arthritis, chemometrics, disease monitoring, personalized medicine",

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doi = "10.1021/pr1002774",

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T2 - a cohort study of rheumatoid arthritis patients

AU - Lauridsen, Michael B

AU - Bliddal, Henning

AU - Christensen, Robin

AU - Danneskiold-Samsøe, Bente

AU - Bennett, Robert

AU - Keun, Hector

AU - Lindon, John C

AU - Nicholson, Jeremy K

AU - Dorff, Mikkel H

AU - Jaroszewski, Jerzy W

AU - Hansen, Steen Honore

AU - Cornett, Claus

N1 - Keywords: metabonomics, phenotyping, NMR, rheumatoid arthritis, chemometrics, disease monitoring, personalized medicine

PY - 2010/9/3

Y1 - 2010/9/3

N2 - 1H NMR spectroscopy-based metabolic phenotyping was used to identify biomarkers in the plasma of patients with rheumatoid arthritis (RA). Forty-seven patients with RA (23 with active disease at baseline and 24 in remission) and 51 healthy subjects were evaluated during a one-year follow-up with assessments of disease activity (DAS-28) and 1H NMR spectroscopy of plasma samples. Discriminant analysis provided evidence that the metabolic profiles predicted disease severity. Cholesterol, lactate, acetylated glycoprotein, and lipid signatures were found to be candidate biomarkers for disease severity. The results also supported the link between RA and coronary artery disease. Repeated assessment using mixed linear models showed that the predictors obtained from metabolic profiles of plasma at baseline from patients with active RA were significantly different from those of patients in remission (P=0.0007). However, after 31 days of optimized therapy, the two patient groups were not significantly different (P=0.91). The metabolic profiles of both groups of RA patients were different from the healthy subjects. 1H NMR-based metabolic phenotyping of plasma samples in patients with RA is well suited for discovery of biomarkers and may be a potential approach for disease monitoring and personalized medication for RA therapy.

AB - 1H NMR spectroscopy-based metabolic phenotyping was used to identify biomarkers in the plasma of patients with rheumatoid arthritis (RA). Forty-seven patients with RA (23 with active disease at baseline and 24 in remission) and 51 healthy subjects were evaluated during a one-year follow-up with assessments of disease activity (DAS-28) and 1H NMR spectroscopy of plasma samples. Discriminant analysis provided evidence that the metabolic profiles predicted disease severity. Cholesterol, lactate, acetylated glycoprotein, and lipid signatures were found to be candidate biomarkers for disease severity. The results also supported the link between RA and coronary artery disease. Repeated assessment using mixed linear models showed that the predictors obtained from metabolic profiles of plasma at baseline from patients with active RA were significantly different from those of patients in remission (P=0.0007). However, after 31 days of optimized therapy, the two patient groups were not significantly different (P=0.91). The metabolic profiles of both groups of RA patients were different from the healthy subjects. 1H NMR-based metabolic phenotyping of plasma samples in patients with RA is well suited for discovery of biomarkers and may be a potential approach for disease monitoring and personalized medication for RA therapy.

KW - Faculty of Health and Medical Sciences

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DO - 10.1021/pr1002774

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EP - 4553

JO - Journal of Proteome Research

JF - Journal of Proteome Research

IS - 9

ER -

1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients

Abstract

Keywords

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