HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

The association of specific metabolites of lipid metabolism with markers of oxidative stress, inflammation and arterial stiffness in men with newly diagnosed type 2 diabetes.

AbstractOBJECTIVE:
To determine whether circulating metabolic intermediates are associated with inflammation, oxidative stress and arterial stiffness in men with newly diagnosed type 2 diabetes and investigate the circulating metabolic intermediates that may predict the risk of developing diabetes.
RESEARCH DESIGN AND METHODS:
Men with newly diagnosed type 2 diabetes (n = 26) and age- and body mass index-matched nondiabetic men (n = 27) were included. We measured inflammatory and oxidative markers and arterial stiffness by brachial-ankle pulse wave velocity (ba-PWV). Metabolomic profiling was analysed with ultra performance liquid chromatography and quadrupole time-of-flight mass spectrometry.
RESULTS:
Diabetic men showed higher circulating levels of glucose, triglyceride, oxidized low-density lipoprotein (LDL), high-sensitivity C-reactive protein, interleukin (IL)-6, tumour necrosis factor-alpha (TNF-α), homeostasis model assessment-insulin resistance, urinary 8-epi-prostaglandin F(2α) (8-epi-PGF(2α)) and ba-PWV than nondiabetic men. In plasma, 19 metabolites including three amino acids, eight acylcarnitines, six lysophosphatidylcholines (lysoPCs), and two lysophosphatidylethanolamines (lysoPEs; C18:2 and C22:6) significantly increased in diabetes men, whereas serine and lysoPE (C18:1) decreased. Decanoyl carnitine, lysoPCs (C14:0, C16:1, C18:1 and C22:6) and lysoPE (C18:1) with variable importance in the projection values >1·0 were major plasma metabolites that distinguished nondiabetic and diabetic men. Decanoyl carnitine positively correlated with oxidized LDL, 8-epi-PGF(2α), IL-6, TNF-α and ba-PWV. ba-PWV correlated positively with lysoPCs C14:0 and C16:1, and negatively with lysoPE C18:1. 8-epi-PGF(2α) correlated positively with lipoprotein-associated phospholipase A(2), ba-PWV and lysoPCs (C14:0 and C16:1). The receiver operating characteristic curve estimation suggested that decanoyl carnitine and lysoPC (C14:0) are the best metabolites for predicting the risk of developing diabetes.
CONCLUSIONS:
Circulating lipid-related intermediate metabolites can be closely associated with inflammation, oxidative stress and arterial stiffness in early diabetes.
AuthorsChang Young Ha, Ji Young Kim, Jean Kyung Paik, Oh Yoen Kim, Yong-Han Paik, Eun Jig Lee, Jong Ho Lee
JournalClinical endocrinology (Clin Endocrinol (Oxf)) Vol. 76 Issue 5 Pg. 674-82 (May 2012) ISSN: 1365-2265 [Electronic] England
PMID21958081 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Copyright© 2012 Blackwell Publishing Ltd.
Chemical References
  • Biomarkers
  • Blood Glucose
  • Interleukin-6
  • Lipid Peroxides
  • Lipids
  • Lipoproteins, LDL
  • Phospholipids
  • Triglycerides
  • Tumor Necrosis Factor-alpha
  • oxidized low density lipoprotein
  • C-Reactive Protein
Topics
  • Adult
  • Aged
  • Biomarkers (blood)
  • Blood Glucose (metabolism)
  • C-Reactive Protein (metabolism)
  • Chromatography, High Pressure Liquid (methods)
  • Diabetes Mellitus, Type 2 (blood, metabolism)
  • Humans
  • Inflammation (blood, metabolism)
  • Interleukin-6 (blood)
  • Lipid Metabolism
  • Lipid Peroxides (blood)
  • Lipids (blood, chemistry)
  • Lipoproteins, LDL (blood)
  • Male
  • Mass Spectrometry (methods)
  • Metabolome
  • Metabolomics (methods)
  • Middle Aged
  • Multivariate Analysis
  • Oxidative Stress
  • Phospholipids (blood)
  • Triglycerides (blood)
  • Tumor Necrosis Factor-alpha (blood)
  • Vascular Stiffness

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: