title: Glycaemic status in relation to oxidative stress and inflammation in well-controlled type 2 diabetes subjects.
abstract: The aim of the present observational study was to investigate the relationships between glycaemic status and levels of oxidative stress and inflammation in well-controlled type 2 diabetes subjects. Metabolic variables (weight, BMI, waist circumference (waist), blood glucose, glycated Hb (HbA(1c)), insulin, blood lipids), biomarkers of oxidative stress (8-iso-PGF(2alpha), malondialdehyde, 8-oxo-7,8-dihydro-2'-deoxyguanosine, formamido pyrimidine glycosylase-sites, frequency of micronucleated erythrocytes, nitrotyrosine) and inflammatory markers (high sensitivity C-reactive protein (hsCRP), IL-6, cyclo-oxygenase-catalyzed PGF(2alpha)-metabolite) were measured. Fifty-six patients (thirty women and twenty-six men, age 62.3 (SD 7.0) years, HbA(1c) 6.1 (SD 0.9) %, BMI 28.3 (SD 3.8) kg/m(2), waist 99.6 (SD 11.1) cm) were included in the study. HbA(1c) (r 0.29, P=0.03) and blood glucose (r 0.33, P=0.01) correlated positively with 8-iso-PGF(2alpha). Positive correlations were also observed between HbA(1c) and nitrotyrosine (r 0.42, P=0.01), waist and hsCRP (r 0.37, P=0.005), hsCRP and IL-6 (r 0.61, P<0.0001) and between PGF(2alpha)-metabolite and 8-iso-PGF(2alpha) (r 0.27, P=0.048). The present study indicates that glycaemic status is associated with oxidative stress even in subjects with well-controlled type 2 diabetes. Furthermore, inflammation was more related to abdominal obesity than to glycaemic control. A large number of biomarkers of oxidative stress and inflammation were investigated, but only a few associations were found between the markers. This could be due to the fact that none of these biomarkers biosynthesises via similar pathways or simultaneously owing to their diverse nature and origin.
authors.affiliation: Clinical Nutrition and Metabolism, Department of Public Health and Caring Science, Uppsala University, Uppsala, Sweden.
authors.forename: Elisabet
authors.initials: E
authors.lastname: Rytter
authors.forename: Bengt
authors.initials: B
authors.lastname: Vessby
authors.forename: Rikard
authors.initials: R
authors.lastname: Asgård
authors.forename: Clara
authors.initials: C
authors.lastname: Johansson
authors.forename: Anders
authors.initials: A
authors.lastname: Sjödin
authors.forename: Lilianne
authors.initials: L
authors.lastname: Abramsson-Zetterberg
authors.forename: Lennart
authors.initials: L
authors.lastname: Möller
authors.forename: Samar
authors.initials: S
authors.lastname: Basu
mesh_terms: D000080242:8-Hydroxy-2'-Deoxyguanosine; D000368:Aged; D015415:Biomarkers / Q000097:blood / Q000652:urine; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000032:analysis; D003849:Deoxyguanosine / Q000031:analogs & derivatives / Q000097:blood; D003924:Diabetes Mellitus, Type 2 / Q000188:drug therapy / Q000276:immunology / Q000378:metabolism*; D015237:Dinoprost / Q000031:analogs & derivatives / Q000652:urine; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D007004:Hypoglycemic Agents / Q000627:therapeutic use; D007249:Inflammation; D007328:Insulin / Q000097:blood; D015850:Interleukin-6 / Q000097:blood; D008055:Lipids / Q000097:blood; D008297:Male; D008315:Malondialdehyde / Q000097:blood; D008875:Middle Aged; D009765:Obesity / Q000276:immunology / Q000378:metabolism; D018384:Oxidative Stress; D011336:Probability; D018709:Statistics, Nonparametric; D014443:Tyrosine / Q000031:analogs & derivatives / Q000097:blood; D055105:Waist Circumference
chemical_list: D000080242:8-Hydroxy-2'-Deoxyguanosine; D015415:Biomarkers; D001786:Blood Glucose; D002097:C-Reactive Protein; D003849:Deoxyguanosine; D015237:Dinoprost; D006442:Glycated Hemoglobin; D007004:Hypoglycemic Agents; D007328:Insulin; D015850:Interleukin-6; D008055:Lipids; D008315:Malondialdehyde; D014443:Tyrosine; C008228:15-keto-13,14-dihydroprostaglandin F2alpha; C075750:8-epi-prostaglandin F2alpha; C002744:3-nitrotyrosine