Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13902
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dc.contributor.authorLimkunakul C.
dc.contributor.authorSundell M.B.
dc.contributor.authorPouliot B.
dc.contributor.authorGraves A.J.
dc.contributor.authorShintani A.
dc.contributor.authorIkizler T.A.
dc.date.accessioned2021-04-05T03:32:37Z-
dc.date.available2021-04-05T03:32:37Z-
dc.date.issued2014
dc.identifier.issn9310509
dc.identifier.other2-s2.0-84899829842
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13902-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84899829842&doi=10.1093%2fndt%2fgft489&partnerID=40&md5=dfbd0d0fa259cd55558e5b10b8c9f8f3
dc.description.abstractBackground High glycemic index (GI) and glycemic load (GL) are associated with increased levels of oxidative stress and systemic inflammation in the general population. Maintenance hemodialysis (MHD) patients are known to have excessive oxidative stress burden and inflammation. In this study, we examined the relationship between dietary GI or GL and markers of oxidative stress or inflammation among prevalent MHD patients. Methods A registered dietitian obtained GI, GL and other dietary data from 58 MHD patients. Two separate 24-h diet recalls (a hemodialysis day and a non-hemodialysis day) were analyzed using the Nutrition Data System for Research (NDS-R) software. Plasma or serum concentrations of F2-isoprostanes, high sensitivity C-reactive protein (hsCRP), leptin and adiponectin (ADPN) were measured in fasting state. Fat mass was measured by dual-energy X-ray absorptiometry (DEXA). Cross-sectional associations between GI, GL and markers of interest were examined by multiple regression analysis with adjustment for potential covariates. Results Mean (±SD) age, body mass index (BMI) and total trunk fat were 47 ± 12 years, 29.5 ± 6.8 kg/m2 and 16.4 ± 8.8 kg, respectively. Dietary GI was associated with trunk fat (r =-0.182, P = 0.05) but not with F2-isoprostanes and hsCRP. In contrast, GL was significantly associated with F2-isoprostanes (P = 0.002), in unadjusted analysis, which remained in adjusted analyses, adjusting for age and sex (P = 0.005), and after adjusting for BMI, trunk fat and waist/hip ratio (P = 0.004). Addition of leptin or ADPN did not alter the significance of the association. GL also correlated with hsCRP (P = 0.03), but this association was modified by BMI and trunk fat. Conclusions Dietary GL is significantly associated with markers of oxidative stress and inflammation among prevalent MHD patients, independent of the body composition and adipocytokines. These data indicate the importance of the contents of dietary nutrient intake composition and its potential role in determining the metabolic disturbances in MHD patients. © 2013 The Author.
dc.subjectadipocytokine
dc.subjectadiponectin
dc.subjectbiological marker
dc.subjectC reactive protein
dc.subjectinsulin
dc.subjectisoprostane derivative
dc.subjectleptin
dc.subjectresistin
dc.subjectadult
dc.subjectarticle
dc.subjectbody composition
dc.subjectbody mass
dc.subjectcross-sectional study
dc.subjectdietary intake
dc.subjectdisease association
dc.subjectfat mass
dc.subjectfemale
dc.subjectglycemic index
dc.subjectglycemic load
dc.subjecthemodialysis patient
dc.subjecthuman
dc.subjectinflammation
dc.subjectmaintenance hemodialysis patient
dc.subjectmajor clinical study
dc.subjectmale
dc.subjectobesity
dc.subjectoxidative stress
dc.subjectprevalence
dc.subjectpriority journal
dc.subjectprotein blood level
dc.subjectretrospective study
dc.subjectcarbohydrate
dc.subjectdiet
dc.subjectnutrition
dc.subjectoxidative stress
dc.subjectAbsorptiometry, Photon
dc.subjectAdiponectin
dc.subjectAdult
dc.subjectBiological Markers
dc.subjectBlood Glucose
dc.subjectCross-Sectional Studies
dc.subjectDiet
dc.subjectFemale
dc.subjectGlycemic Index
dc.subjectHumans
dc.subjectInflammation
dc.subjectLeptin
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectOxidative Stress
dc.subjectRenal Dialysis
dc.subjectRetrospective Studies
dc.titleGlycemic load is associated with oxidative stress among prevalent maintenance hemodialysis patients
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationNephrology Dialysis Transplantation. Vol 29, No.5 (2014), p.1047-1053
dc.identifier.doi10.1093/ndt/gft489
Appears in Collections:Scopus 1983-2021

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