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

Michael Brændgaard 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 H Hansen, Claus Cornett

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TidsskriftJournal of Proteome Research
Vol/bind9
Udgave nummer9
Sider (fra-til)4545-53
Antal sider9
ISSN1535-3893
DOI
StatusUdgivet - 3. sep. 2010

Fingeraftryk

Nuclear magnetic resonance spectroscopy
Cohort Studies
Biomarkers
Plasmas
amsonic acid
Discriminant analysis
Discriminant Analysis
Proton Magnetic Resonance Spectroscopy
Lactic Acid
Glycoproteins
Cholesterol
Coronary Artery Disease
Nuclear magnetic resonance
Linear Models
Lipids
Monitoring

Citer dette

Lauridsen, M. B., Bliddal, H., Christensen, R., Danneskiold-Samsøe, B., Bennett, R., Keun, H., ... Cornett, C. (2010). 1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients. Journal of Proteome Research, 9(9), 4545-53. https://doi.org/10.1021/pr1002774
Lauridsen, Michael Brændgaard ; Bliddal, Henning ; Christensen, Robin ; Danneskiold-Samsøe, Bente ; Bennett, Robert ; Keun, Hector ; Lindon, John C ; Nicholson, Jeremy K ; Dorff, Mikkel H ; Jaroszewski, Jerzy W. ; Hansen, Steen H ; Cornett, Claus. / 1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients. I: Journal of Proteome Research. 2010 ; Bind 9, Nr. 9. s. 4545-53.
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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.",
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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, bind 9, nr. 9, s. 4545-53. https://doi.org/10.1021/pr1002774

1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients. / Lauridsen, Michael Brændgaard; Bliddal, Henning; Christensen, Robin; Danneskiold-Samsøe, Bente; Bennett, Robert; Keun, Hector; Lindon, John C; Nicholson, Jeremy K; Dorff, Mikkel H; Jaroszewski, Jerzy W.; Hansen, Steen H; Cornett, Claus.

I: Journal of Proteome Research, Bind 9, Nr. 9, 03.09.2010, s. 4545-53.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - 1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients

AU - Lauridsen, Michael Brændgaard

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 H

AU - Cornett, Claus

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 - Adult

KW - Aged

KW - Arthritis, Rheumatoid

KW - Biological Markers

KW - Cohort Studies

KW - Computational Biology

KW - Disease Progression

KW - Female

KW - Humans

KW - Least-Squares Analysis

KW - Linear Models

KW - Male

KW - Metabolome

KW - Metabolomics

KW - Middle Aged

KW - Nuclear Magnetic Resonance, Biomolecular

KW - Phenotype

U2 - 10.1021/pr1002774

DO - 10.1021/pr1002774

M3 - Journal article

VL - 9

SP - 4545

EP - 4553

JO - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

IS - 9

ER -

Lauridsen MB, Bliddal H, Christensen R, Danneskiold-Samsøe B, Bennett R, Keun H et al. 1H NMR spectroscopy-based interventional metabolic phenotyping: a cohort study of rheumatoid arthritis patients. Journal of Proteome Research. 2010 sep 3;9(9):4545-53. https://doi.org/10.1021/pr1002774