title: Leukocyte count and vascular function in Type 2 diabetic subjects with treated hypertension.
abstract: BACKGROUND
  Traditional cardiovascular risk factors may only partially explain abnormal vascular function in Type 2 diabetic patients. This study examined the associations between vascular function and markers of inflammation in Type 2 diabetic subjects with treated hypertension.
  
  
  METHODS
  Flow-mediated dilatation (FMD) and glyceryl-trinitrate mediated dilatation (GTNMD) of the brachial artery were used to assess endothelium-dependent and -independent function, respectively, in 29 hypertensive Type 2 diabetic subjects (HbA1c <9%), and 17 healthy control subjects. Plasma C-reactive protein (CRP), fibrinogen, interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), and leukocyte count were used as markers of inflammation. Soluble L-selectin, P-selectin, and von Willebrand factor (vWf) were measured to assess leukocyte, platelet and endothelial cell activation, respectively.
  
  
  RESULTS
  Compared with controls, diabetic subjects had impaired FMD (3.9+/-3.0 vs. 5.5+/-2.4%, P=0.07) and GTNMD (11.4+/-4.8% vs. 15.4+/-7.1%, P=0.04). They also had higher levels of CRP (2.7+/-2.6 vs. 1.4+/-1.1 mg/l, P=0.03), fibrinogen (3.4+/-0.7 vs. 2.7+/-0.3 g/l, P<0.001) and TNF-alpha (20.9+/-13.4 vs. 2.5+/-1.7 pg/l, P<0.001). In diabetic subjects, after adjustment for age and gender, leukocyte count was an independent predictor of FMD (P=0.02), accounting for 17% of total variance. Similarly, leukocyte count (P<0.001) accounted for 23% and IL-6 (P=0.03) for 12% of the variance in GTNMD. vWf was correlated with leukocyte count (r=0.38, P=0.04), FMD (r=-0.35, P=0.06) and GTNMD (r=-0.47, P=0.009), whilst P-selectin correlated with fibrinogen (r=0.58, P=0.001).
  
  
  CONCLUSIONS
  These cross-sectional observations are consistent with the hypothesis that reduced FMD and GTNMD in Type 2 diabetes is at least in part secondary to increased inflammation, with associated endothelial and platelet activation.
authors.affiliation: Department of Medicine, The University of Western Australia and The West Australian Heart Research Institute, Royal Perth Hospital, Perth, Australia. rwoodman@cyllene.uwa.edu.au
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Woodman
authors.forename: Gerald F
authors.initials: GF
authors.lastname: Watts
authors.forename: Ian B
authors.initials: IB
authors.lastname: Puddey
authors.forename: Valerie
authors.initials: V
authors.lastname: Burke
authors.forename: Trevor A
authors.initials: TA
authors.lastname: Mori
authors.forename: Jonathan M
authors.initials: JM
authors.lastname: Hodgson
authors.forename: Lawrence J
authors.initials: LJ
authors.lastname: Beilin
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D000959:Antihypertensive Agents / Q000008:administration & dosage; D001783:Blood Flow Velocity; D002097:C-Reactive Protein / Q000032:analysis*; D016022:Case-Control Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000150:complications / Q000175:diagnosis*; D003925:Diabetic Angiopathies / Q000150:complications / Q000175:diagnosis*; D005260:Female; D006801:Humans; D006973:Hypertension / Q000150:complications / Q000175:diagnosis* / Q000188:drug therapy*; D018836:Inflammation Mediators / Q000032:analysis; D015850:Interleukin-6 / Q000032:analysis; D007958:Leukocyte Count; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011379:Prognosis; D012016:Reference Values; D018570:Risk Assessment; D012494:Sampling Studies; D019087:Selectins / Q000032:analysis; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D014409:Tumor Necrosis Factor-alpha / Q000032:analysis
chemical_list: D000959:Antihypertensive Agents; D018836:Inflammation Mediators; D015850:Interleukin-6; D019087:Selectins; D014409:Tumor Necrosis Factor-alpha; D002097:C-Reactive Protein