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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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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. |
format | Online Article Text |
id | pubmed-3562683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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