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Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes

Objective. To explore the urinary biochemistry features of syndromes of traditional Chinese medicine (TCM) such as syndrome of stagnation of liver Qi, spleen deficiency, liver Qi stagnation, and spleen deficiency (LSSDS) in sub-optimal health status (SHS). Methods. 12 cases for each syndrome group i...

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Autores principales: Cui, Hai-Zhen, Wang, Li-Min, Zhao, Xin, Liu, Yue-Yun, Wang, Shao-Xian, Li, Xiao-Hong, Jiang, You-Ming, Chen, Jia-Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562683/
https://www.ncbi.nlm.nih.gov/pubmed/23401715
http://dx.doi.org/10.1155/2013/509134
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author Cui, Hai-Zhen
Wang, Li-Min
Zhao, Xin
Liu, Yue-Yun
Wang, Shao-Xian
Li, Xiao-Hong
Jiang, You-Ming
Chen, Jia-Xu
author_facet Cui, Hai-Zhen
Wang, Li-Min
Zhao, Xin
Liu, Yue-Yun
Wang, Shao-Xian
Li, Xiao-Hong
Jiang, You-Ming
Chen, Jia-Xu
author_sort Cui, Hai-Zhen
collection PubMed
description Objective. To explore the urinary biochemistry features of syndromes of traditional Chinese medicine (TCM) such as syndrome of stagnation of liver Qi, spleen deficiency, liver Qi stagnation, and spleen deficiency (LSSDS) in sub-optimal health status (SHS). Methods. 12 cases for each syndrome group in SHS were selected, 12 subjects were used as a normal control group, and (1)H NMR detection was, respectively, carried out, and the data was corrected by the orthogonal signal correction (OSC) and then adopted a partial least squares (PLS) method for discriminate analysis. Results. The OSC-PLS (ctr) analysis results of the nuclear overhauser enhancement spectroscopy (NOESY) detection indicated that the syndromes in SHS could be differentiated, and there were significant differences in the levels of metabolites of the urine samples of the four groups; the biomarkers of LSSDS in SHS were found out. The contents of citric acid (2.54 and 2.66), trimethylamineoxide (3.26), and hippuric acid (3.98, 7.54, 7.58, 7.62, 7.66, 7.82, and 7.86) in the urine samples of LSSDS group were lower than that of the normal control group. Conclusion. There are differences in the (1)H-NMR metabolic spectrum of the urine samples of the four groups, and the specific metabolic products of the LSSDS in SHS can be identified from metabonomics analysis.
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spelling pubmed-35626832013-02-11 Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes Cui, Hai-Zhen Wang, Li-Min Zhao, Xin Liu, Yue-Yun Wang, Shao-Xian Li, Xiao-Hong Jiang, You-Ming Chen, Jia-Xu Evid Based Complement Alternat Med Research Article Objective. To explore the urinary biochemistry features of syndromes of traditional Chinese medicine (TCM) such as syndrome of stagnation of liver Qi, spleen deficiency, liver Qi stagnation, and spleen deficiency (LSSDS) in sub-optimal health status (SHS). Methods. 12 cases for each syndrome group in SHS were selected, 12 subjects were used as a normal control group, and (1)H NMR detection was, respectively, carried out, and the data was corrected by the orthogonal signal correction (OSC) and then adopted a partial least squares (PLS) method for discriminate analysis. Results. The OSC-PLS (ctr) analysis results of the nuclear overhauser enhancement spectroscopy (NOESY) detection indicated that the syndromes in SHS could be differentiated, and there were significant differences in the levels of metabolites of the urine samples of the four groups; the biomarkers of LSSDS in SHS were found out. The contents of citric acid (2.54 and 2.66), trimethylamineoxide (3.26), and hippuric acid (3.98, 7.54, 7.58, 7.62, 7.66, 7.82, and 7.86) in the urine samples of LSSDS group were lower than that of the normal control group. Conclusion. There are differences in the (1)H-NMR metabolic spectrum of the urine samples of the four groups, and the specific metabolic products of the LSSDS in SHS can be identified from metabonomics analysis. Hindawi Publishing Corporation 2013 2013-01-17 /pmc/articles/PMC3562683/ /pubmed/23401715 http://dx.doi.org/10.1155/2013/509134 Text en Copyright © 2013 Hai-Zhen Cui et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cui, Hai-Zhen
Wang, Li-Min
Zhao, Xin
Liu, Yue-Yun
Wang, Shao-Xian
Li, Xiao-Hong
Jiang, You-Ming
Chen, Jia-Xu
Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes
title Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes
title_full Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes
title_fullStr Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes
title_full_unstemmed Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes
title_short Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes
title_sort metabonomics-based study of clinical urine samples in suboptimal health with different syndromes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562683/
https://www.ncbi.nlm.nih.gov/pubmed/23401715
http://dx.doi.org/10.1155/2013/509134
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