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A Metabonomics Profiling Study on Phlegm Syndrome and Blood-Stasis Syndrome in Coronary Heart Disease Patients Using Liquid Chromatography/Quadrupole Time-of-Flight Mass Spectrometry.

Zhao L, Wan L, Qiu X, Li R, Liu S, Wang D - Evid Based Complement Alternat Med (2014)

Bottom Line: A metabonomics approach based on liquid chromatography/quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) was utilized to obtain potential biomarkers of coronary heart disease (CHD) patients and investigate the ZHENG types differentiation in CHD patients.The plasma samples of 20 CHD patients with phlegm syndrome, 20 CHD patients with blood-stasis syndrome, and 16 healthy volunteers were collected in the study. 26 potential biomarkers were identified in the plasma of CHD patients and 19 differential metabolites contributed to the discrimination of phlegm syndrome and blood-stasis syndrome in CHD patients (VIP > 1.5; P < 0.05) which mainly involved purine metabolism, pyrimidine metabolism, amino acid metabolism, steroid biosynthesis, and arachidonic acid metabolism.This study demonstrated that metabonomics approach based on LC-MS was useful for studying pathologic changes of CHD patients and interpreting the differentiation of ZHENG types (phlegm and blood-stasis syndrome) in traditional Chinese medicine (TCM).

View Article: PubMed Central - PubMed

Affiliation: Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central south University, Changsha 410008, China.

ABSTRACT
A metabonomics approach based on liquid chromatography/quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) was utilized to obtain potential biomarkers of coronary heart disease (CHD) patients and investigate the ZHENG types differentiation in CHD patients. The plasma samples of 20 CHD patients with phlegm syndrome, 20 CHD patients with blood-stasis syndrome, and 16 healthy volunteers were collected in the study. 26 potential biomarkers were identified in the plasma of CHD patients and 19 differential metabolites contributed to the discrimination of phlegm syndrome and blood-stasis syndrome in CHD patients (VIP > 1.5; P < 0.05) which mainly involved purine metabolism, pyrimidine metabolism, amino acid metabolism, steroid biosynthesis, and arachidonic acid metabolism. This study demonstrated that metabonomics approach based on LC-MS was useful for studying pathologic changes of CHD patients and interpreting the differentiation of ZHENG types (phlegm and blood-stasis syndrome) in traditional Chinese medicine (TCM).

No MeSH data available.


Related in: MedlinePlus

PCA scores plots of CHD () and healthy () subjects in ESI+ (a) mode and ESI− (b), PLS-DA scores plots of CHD () and healthy () subjects in ESI+ (c) mode and ESI− (d). X-axis expressed the first component of the metabolite data. Y-axis expressed the second component.
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fig2: PCA scores plots of CHD () and healthy () subjects in ESI+ (a) mode and ESI− (b), PLS-DA scores plots of CHD () and healthy () subjects in ESI+ (c) mode and ESI− (d). X-axis expressed the first component of the metabolite data. Y-axis expressed the second component.

Mentions: The PCA scores plots showed significant discrimination between the CHD group and the healthy control group in both positive (Figure 2(a)) and negative modes (Figure 2(b)). In the score plot, the confidence interval was defined by the Hotelling T2 ellipse (95% confidence interval). As exhibited in Figure 2, most samples were within the 95% confidence interval. PLS-DA models confirmed the clear separation tendency between the two groups. The classification results were shown in Figures 2(c) and 2(d). All the models parameters were presented in Table 3.


A Metabonomics Profiling Study on Phlegm Syndrome and Blood-Stasis Syndrome in Coronary Heart Disease Patients Using Liquid Chromatography/Quadrupole Time-of-Flight Mass Spectrometry.

Zhao L, Wan L, Qiu X, Li R, Liu S, Wang D - Evid Based Complement Alternat Med (2014)

PCA scores plots of CHD () and healthy () subjects in ESI+ (a) mode and ESI− (b), PLS-DA scores plots of CHD () and healthy () subjects in ESI+ (c) mode and ESI− (d). X-axis expressed the first component of the metabolite data. Y-axis expressed the second component.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4129150&req=5

fig2: PCA scores plots of CHD () and healthy () subjects in ESI+ (a) mode and ESI− (b), PLS-DA scores plots of CHD () and healthy () subjects in ESI+ (c) mode and ESI− (d). X-axis expressed the first component of the metabolite data. Y-axis expressed the second component.
Mentions: The PCA scores plots showed significant discrimination between the CHD group and the healthy control group in both positive (Figure 2(a)) and negative modes (Figure 2(b)). In the score plot, the confidence interval was defined by the Hotelling T2 ellipse (95% confidence interval). As exhibited in Figure 2, most samples were within the 95% confidence interval. PLS-DA models confirmed the clear separation tendency between the two groups. The classification results were shown in Figures 2(c) and 2(d). All the models parameters were presented in Table 3.

Bottom Line: A metabonomics approach based on liquid chromatography/quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) was utilized to obtain potential biomarkers of coronary heart disease (CHD) patients and investigate the ZHENG types differentiation in CHD patients.The plasma samples of 20 CHD patients with phlegm syndrome, 20 CHD patients with blood-stasis syndrome, and 16 healthy volunteers were collected in the study. 26 potential biomarkers were identified in the plasma of CHD patients and 19 differential metabolites contributed to the discrimination of phlegm syndrome and blood-stasis syndrome in CHD patients (VIP > 1.5; P < 0.05) which mainly involved purine metabolism, pyrimidine metabolism, amino acid metabolism, steroid biosynthesis, and arachidonic acid metabolism.This study demonstrated that metabonomics approach based on LC-MS was useful for studying pathologic changes of CHD patients and interpreting the differentiation of ZHENG types (phlegm and blood-stasis syndrome) in traditional Chinese medicine (TCM).

View Article: PubMed Central - PubMed

Affiliation: Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central south University, Changsha 410008, China.

ABSTRACT
A metabonomics approach based on liquid chromatography/quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) was utilized to obtain potential biomarkers of coronary heart disease (CHD) patients and investigate the ZHENG types differentiation in CHD patients. The plasma samples of 20 CHD patients with phlegm syndrome, 20 CHD patients with blood-stasis syndrome, and 16 healthy volunteers were collected in the study. 26 potential biomarkers were identified in the plasma of CHD patients and 19 differential metabolites contributed to the discrimination of phlegm syndrome and blood-stasis syndrome in CHD patients (VIP > 1.5; P < 0.05) which mainly involved purine metabolism, pyrimidine metabolism, amino acid metabolism, steroid biosynthesis, and arachidonic acid metabolism. This study demonstrated that metabonomics approach based on LC-MS was useful for studying pathologic changes of CHD patients and interpreting the differentiation of ZHENG types (phlegm and blood-stasis syndrome) in traditional Chinese medicine (TCM).

No MeSH data available.


Related in: MedlinePlus