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Metabonomic profiling of serum and urine by (1)H NMR-based spectroscopy discriminates patients with chronic obstructive pulmonary disease and healthy individuals.

Wang L, Tang Y, Liu S, Mao S, Ling Y, Liu D, He X, Wang X - PLoS ONE (2013)

Bottom Line: Samples were analyzed by high resolution (1)H NMR (600 MHz), and the obtained spectral profiles were then subjected to multivariate data analysis.Moreover, metabolic differences in urine were more significant than in serum.Conversely, acetate, ketone bodies, carnosine, m-hydroxyphenylacetate, phenylacetyglycine, pyruvate and α-ketoglutarate exhibited enhanced expression levels in COPD patients relative to healthy subjects.

View Article: PubMed Central - PubMed

Affiliation: Department of Respiratory Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.

ABSTRACT
Chronic obstructive pulmonary disease (COPD) has seriously impacted the health of individuals and populations. In this study, proton nuclear magnetic resonance ((1)H NMR)-based metabonomics combined with multivariate pattern recognition analysis was applied to investigate the metabolic signatures of patients with COPD. Serum and urine samples were collected from COPD patients (n = 32) and healthy controls (n = 21), respectively. Samples were analyzed by high resolution (1)H NMR (600 MHz), and the obtained spectral profiles were then subjected to multivariate data analysis. Consistent metabolic differences have been found in serum as well as in urine samples from COPD patients and healthy controls. Compared to healthy controls, COPD patients displayed decreased lipoprotein and amino acids, including branched-chain amino acids (BCAAs), and increased glycerolphosphocholine in serum. Moreover, metabolic differences in urine were more significant than in serum. Decreased urinary 1-methylnicotinamide, creatinine and lactate have been discovered in COPD patients in comparison with healthy controls. Conversely, acetate, ketone bodies, carnosine, m-hydroxyphenylacetate, phenylacetyglycine, pyruvate and α-ketoglutarate exhibited enhanced expression levels in COPD patients relative to healthy subjects. Our results illustrate the potential application of NMR-based metabonomics in early diagnosis and understanding the mechanisms of COPD.

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Multivariate data analysis of 1H NMR spectra obtained from COPD patients and healthy controls.Scores scatter plots generated from applying (A) PCA, (C) PLS-DA and (E) OPLS-DA to the 1H NMR spectra of serum. The corresponding scores plots derived from 1H NMR spectra of urine are shown in (B), (D) and (F), respectively.
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pone-0065675-g003: Multivariate data analysis of 1H NMR spectra obtained from COPD patients and healthy controls.Scores scatter plots generated from applying (A) PCA, (C) PLS-DA and (E) OPLS-DA to the 1H NMR spectra of serum. The corresponding scores plots derived from 1H NMR spectra of urine are shown in (B), (D) and (F), respectively.

Mentions: To generate an overview of the variations between COPD patients and healthy control subjects, PCA was first performed based on the normalized NMR spectral data obtained from serum and urine samples. The first and second principal components (PC1 and PC2) were calculated for the models of comparing COPD patients with healthy controls. The first two PCs account for a total of 86.2% and 55.9% of variance for serum and urine samples, respectively. According to the established PCA models, one urine sample obtained from a COPD patient was found to be an outlier and consequently removed for further investigation (data not shown). The final PCA results were illustrated in Figure 3. While there was significant superimposition of COPD patients and healthy controls, a trend for unsupervised separation between these two groups was found in the PC1 vs. PC2 scores scatter plots (Figure 3A and 3B), particularly for urinary metabolic profiles (Figure 3B).


Metabonomic profiling of serum and urine by (1)H NMR-based spectroscopy discriminates patients with chronic obstructive pulmonary disease and healthy individuals.

Wang L, Tang Y, Liu S, Mao S, Ling Y, Liu D, He X, Wang X - PLoS ONE (2013)

Multivariate data analysis of 1H NMR spectra obtained from COPD patients and healthy controls.Scores scatter plots generated from applying (A) PCA, (C) PLS-DA and (E) OPLS-DA to the 1H NMR spectra of serum. The corresponding scores plots derived from 1H NMR spectra of urine are shown in (B), (D) and (F), respectively.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3675021&req=5

pone-0065675-g003: Multivariate data analysis of 1H NMR spectra obtained from COPD patients and healthy controls.Scores scatter plots generated from applying (A) PCA, (C) PLS-DA and (E) OPLS-DA to the 1H NMR spectra of serum. The corresponding scores plots derived from 1H NMR spectra of urine are shown in (B), (D) and (F), respectively.
Mentions: To generate an overview of the variations between COPD patients and healthy control subjects, PCA was first performed based on the normalized NMR spectral data obtained from serum and urine samples. The first and second principal components (PC1 and PC2) were calculated for the models of comparing COPD patients with healthy controls. The first two PCs account for a total of 86.2% and 55.9% of variance for serum and urine samples, respectively. According to the established PCA models, one urine sample obtained from a COPD patient was found to be an outlier and consequently removed for further investigation (data not shown). The final PCA results were illustrated in Figure 3. While there was significant superimposition of COPD patients and healthy controls, a trend for unsupervised separation between these two groups was found in the PC1 vs. PC2 scores scatter plots (Figure 3A and 3B), particularly for urinary metabolic profiles (Figure 3B).

Bottom Line: Samples were analyzed by high resolution (1)H NMR (600 MHz), and the obtained spectral profiles were then subjected to multivariate data analysis.Moreover, metabolic differences in urine were more significant than in serum.Conversely, acetate, ketone bodies, carnosine, m-hydroxyphenylacetate, phenylacetyglycine, pyruvate and α-ketoglutarate exhibited enhanced expression levels in COPD patients relative to healthy subjects.

View Article: PubMed Central - PubMed

Affiliation: Department of Respiratory Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.

ABSTRACT
Chronic obstructive pulmonary disease (COPD) has seriously impacted the health of individuals and populations. In this study, proton nuclear magnetic resonance ((1)H NMR)-based metabonomics combined with multivariate pattern recognition analysis was applied to investigate the metabolic signatures of patients with COPD. Serum and urine samples were collected from COPD patients (n = 32) and healthy controls (n = 21), respectively. Samples were analyzed by high resolution (1)H NMR (600 MHz), and the obtained spectral profiles were then subjected to multivariate data analysis. Consistent metabolic differences have been found in serum as well as in urine samples from COPD patients and healthy controls. Compared to healthy controls, COPD patients displayed decreased lipoprotein and amino acids, including branched-chain amino acids (BCAAs), and increased glycerolphosphocholine in serum. Moreover, metabolic differences in urine were more significant than in serum. Decreased urinary 1-methylnicotinamide, creatinine and lactate have been discovered in COPD patients in comparison with healthy controls. Conversely, acetate, ketone bodies, carnosine, m-hydroxyphenylacetate, phenylacetyglycine, pyruvate and α-ketoglutarate exhibited enhanced expression levels in COPD patients relative to healthy subjects. Our results illustrate the potential application of NMR-based metabonomics in early diagnosis and understanding the mechanisms of COPD.

Show MeSH
Related in: MedlinePlus