1 448

Cited 133 times in

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

DC Field Value Language
dc.contributor.author이은직-
dc.date.accessioned2014-12-19T16:41:45Z-
dc.date.available2014-12-19T16:41:45Z-
dc.date.issued2012-
dc.identifier.issn0300-0664-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/90016-
dc.description.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.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfCLINICAL ENDOCRINOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHBiomarkers/blood-
dc.subject.MESHBlood Glucose/metabolism-
dc.subject.MESHC-Reactive Protein/metabolism-
dc.subject.MESHChromatography, High Pressure Liquid/methods-
dc.subject.MESHDiabetes Mellitus, Type 2/blood-
dc.subject.MESHDiabetes Mellitus, Type 2/metabolism*-
dc.subject.MESHHumans-
dc.subject.MESHInflammation/blood-
dc.subject.MESHInflammation/metabolism*-
dc.subject.MESHInterleukin-6/blood-
dc.subject.MESHLipid Metabolism*-
dc.subject.MESHLipid Peroxides/blood-
dc.subject.MESHLipids/blood-
dc.subject.MESHLipids/chemistry-
dc.subject.MESHLipoproteins, LDL/blood-
dc.subject.MESHMale-
dc.subject.MESHMass Spectrometry/methods-
dc.subject.MESHMetabolome-
dc.subject.MESHMetabolomics/methods-
dc.subject.MESHMiddle Aged-
dc.subject.MESHMultivariate Analysis-
dc.subject.MESHOxidative Stress*-
dc.subject.MESHPhospholipids/blood-
dc.subject.MESHTriglycerides/blood-
dc.subject.MESHTumor Necrosis Factor-alpha/blood-
dc.subject.MESHVascular Stiffness*-
dc.titleThe association of specific metabolites of lipid metabolism with markers of oxidative stress, inflammation and arterial stiffness in men with newly diagnosed type 2 diabetes-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학)-
dc.contributor.googleauthorChang Young Ha-
dc.contributor.googleauthorJi Young Kim-
dc.contributor.googleauthorJean Kyung Paik-
dc.contributor.googleauthorOh Yoen Kim-
dc.contributor.googleauthorYong-Han Paik-
dc.contributor.googleauthorEun Jig Lee-
dc.contributor.googleauthorJong Ho Lee-
dc.identifier.doi10.1111/j.1365-2265.2011.04244.x-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA03050-
dc.relation.journalcodeJ00571-
dc.identifier.eissn1365-2265-
dc.identifier.pmid21958081-
dc.identifier.urlhttp://onlinelibrary.wiley.com/doi/10.1111/j.1365-2265.2011.04244.x/abstract-
dc.contributor.alternativeNameLee, Eun Jig-
dc.contributor.affiliatedAuthorLee, Eun Jig-
dc.citation.volume76-
dc.citation.number5-
dc.citation.startPage674-
dc.citation.endPage682-
dc.identifier.bibliographicCitationCLINICAL ENDOCRINOLOGY, Vol.76(5) : 674-682, 2012-
dc.identifier.rimsid32309-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.