Evidence map›Paper›PMID 22675387›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2012

Metabolomics-based study of clinical and animal plasma samples in coronary heart disease with blood stasis syndrome.

Huihui Zhao, Jianxin Chen, Qi Shi, Xueling Ma, Yi Yang, Liangtao Luo, Shuzhen Guo, Yong Wang, Jing Han, Wei Wang

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Article in Evidence-based complementary and alternative medicine : eCAM, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. NMR-based plasma metabolic profiling in patients with unstable angina.Iranian journal of basic medical sciences · 2020
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  5. Article
  6. Article
  7. Article
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Huihui ZhaoDepartment of Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Jianxin Chen
Qi Shi
Xueling Ma
Yi Yang
Liangtao Luo
Shuzhen Guo
Yong Wang
Jing Han
Wei Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to explore a bridge connecting the mechanism basis and macro syndromes of coronary heart disease with experimental animal models. GC-MS technique was used to detect the metabolites of plasma samples in mini swine models with myocardial infarction (MI) and patients with unstable angina (UA). 30 metabolites were detected in the plasma samples of more than 50 percent of model group and control group in swine, while 37 metabolites were found in the plasma samples of UA patients and healthy control group. 21 metabolites in the plasma samples of swine model and 20 metabolites in patients with UA were found of significant value. Among which, 8 shared metabolites were found of low level expression in both swine model and UA patients. Independent Student's t-test, principal component analysis (PCA), and hierarchicalcluster analysis (HCA) were orderly applied to comprehend inner rules of variables in the data. The 8 shared metabolites could take place of the 21 or 20 metabolites in classification of swine model with MI and UA patients, which could be considered as a bridge connecting the mechanism basis and macrosyndromes of swine model with MI and UA patients.

Identifiers

PMID22675387
PMCPMC3362859

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