Serum Metabolomics Profiling to Identify Biomarkers for Unstable Angina

Joint Authors

Yao, Wei
Gao, Yuxia
Wan, Zheng

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-05-24

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

Although statistical evidence is clear regarding the dangerousness of unstable angina (UA), a form of coronary heart disease (CHD) characterised by high mortality and morbidity globally, it is important to recognise that diagnostic precision for the condition is unfavourable.

In the present research, to gain insight into candidate biomarkers, the author draws on 1H NMR-based serum metabolic profiling to analyze the unstable angina pectoris (UAP) metabolic signatures; this constitutes an effective way to produce medical diagnosis.

101 unstable angina pectoris patients and 132 healthy controls were enrolled and 22 serum samples from each group were analyzed.

Effective separation was noted regarding the UAP and control groups, and, for the former group considered in relation to their counterpart, the serum concentrations of Lac, m-I, lipid, VLDL, 3-HB, and LDL were higher whereas the concentrations of Thr, Cr, Cho, PC/GPC, Glu, Gln, Lys, HDL, Ile, Leu, and Val were lower.

The conclusion drawn in view of the results is that the plasma metabolomics examined by 1H NMR displayed promise for biomarker identification for UA.

In addition to this, the analysis illuminated the metabolic processes of UA.

American Psychological Association (APA)

Yao, Wei& Gao, Yuxia& Wan, Zheng. 2017. Serum Metabolomics Profiling to Identify Biomarkers for Unstable Angina. BioMed Research International،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1138695

Modern Language Association (MLA)

Yao, Wei…[et al.]. Serum Metabolomics Profiling to Identify Biomarkers for Unstable Angina. BioMed Research International No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1138695

American Medical Association (AMA)

Yao, Wei& Gao, Yuxia& Wan, Zheng. Serum Metabolomics Profiling to Identify Biomarkers for Unstable Angina. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1138695

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1138695