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A Metabolomics Approach to Stratify Patients Diagnosed with Diabetes Mellitus into Excess or Deficiency Syndromes.
- Source :
-
Evidence-based Complementary & Alternative Medicine (eCAM) . 2015, p1-8. 8p. - Publication Year :
- 2015
-
Abstract
- The prevalence of type 2 diabetes continuously increases globally. The traditional Chinese medicine (TCM) can stratify the diabetic patients based on their different TCM syndromes and, thus, allow a personalized treatment. Metabolomics is able to provide metabolite biomarkers for disease subtypes. In this study, we applied a metabolomics approach using an ultraperformance liquid chromatography (UPLC) coupled with quadruple-time-of-flight (QTOF) mass spectrometry system to characterize the metabolic alterations of different TCM syndromes including excess and deficiency in patients diagnosed with diabetes mellitus (DM). We obtained a snapshot of the distinct metabolic changes of DM patients with different TCM syndromes. DM patients with excess syndrome have higher serum 2-indolecarboxylic acid, hypotaurine, pipecolic acid, and progesterone in comparison to those patients with deficiency syndrome. The excess patients have more oxidative stress as demonstrated by unique metabolite signatures than the deficiency subjects. The results provide an improved understanding of the systemic alteration of metabolites in different syndromes of DM. The identified serum metabolites may be of clinical relevance for subtyping of diabetic patients, leading to a personalized DM treatment. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BLOOD sugar analysis
*TYPE 2 diabetes diagnosis
*SYNDROMES
*ALGORITHMS
*ALTERNATIVE medicine
*AMINO acids
*BIOCHEMISTRY
*CARBOXYLIC acids
*CHI-squared test
*CONFIDENCE intervals
*HIGH performance liquid chromatography
*LIQUID chromatography
*MASS spectrometry
*PHENOMENOLOGY
*CHINESE medicine
*MULTIVARIATE analysis
*TYPE 2 diabetes
*PROBABILITY theory
*PROGESTERONE
*RESEARCH funding
*STATISTICAL hypothesis testing
*STATISTICS
*T-test (Statistics)
*DECISION making in clinical medicine
*BIOINFORMATICS
*DATA analysis
*OXIDATIVE stress
*BODY mass index
*DATA analysis software
*INDIVIDUALIZED medicine
*STATISTICAL models
*DESCRIPTIVE statistics
*DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 1741427X
- Database :
- Academic Search Index
- Journal :
- Evidence-based Complementary & Alternative Medicine (eCAM)
- Publication Type :
- Academic Journal
- Accession number :
- 108824627
- Full Text :
- https://doi.org/10.1155/2015/350703