title: Effects of haemodialysis on circulating endothelial progenitor cell count.
abstract: During haemodialysis (HD) the endothelium is the first organ to sense and to be impaired by mechanical and immunological stimuli. We hypothesized that a single HD session induces mobilization of endothelial progenitor cells (EPCs) and that cardiovascular risk factors may influence this process. We quantified EPCs at different maturational stages (CD34+, CD133+/VEGFR2+) in blood samples from 30 patients, during HD and on the interdialytic day, and in 10 healthy volunteers. Samples were drawn at the start of HD, 1, 2 and 3 h after, at the end of HD and at 24 h on the interdialytic day. Patients were divided into two groups based on a recent risk scoring system (SCORE project): low-risk (LR) and high-risk groups (HR). HD patients showed a significantly reduced basal number of EPCs with respect to healthy volunteers. In contrast, we observed increasing EPCs during HD whereas they diminished on the interdialytic day. The EPC number was directly correlated with HD time progression. The EPC number during HD was increased in the HR group with respect to the LR group. We had a direct correlation between risk score and number of EPCs. Cardiovascular risk factors influenced the mobilization of stem cells from the bone marrow. This feature could be the direct consequence of an augmented request of stem cells to respond to the most important endothelial impairment but could also show a defective capacity of EPCs to home in and repair the sites of vascular injury.
authors.affiliation: Department of Internal Medicine, University of Messina, Messina, Italy.
authors.forename: Alessio
authors.initials: A
authors.lastname: Sturiale
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Coppolino
authors.forename: Saverio
authors.initials: S
authors.lastname: Loddo
authors.forename: Manila
authors.initials: M
authors.lastname: Criseo
authors.forename: Susanna
authors.initials: S
authors.lastname: Campo
authors.forename: Eleonora
authors.initials: E
authors.lastname: Crascì
authors.forename: Davide
authors.initials: D
authors.lastname: Bolignano
authors.forename: Lorena
authors.initials: L
authors.lastname: Nostro
authors.forename: Diana
authors.initials: D
authors.lastname: Teti
authors.forename: Michele
authors.initials: M
authors.lastname: Buemi
mesh_terms: D000328:Adult; D000368:Aged; D000943:Antigens, Differentiation / Q000032:analysis; D001772:Blood Cell Count; D002318:Cardiovascular Diseases / Q000453:epidemiology; D015897:Comorbidity; D003920:Diabetes Mellitus / Q000453:epidemiology; D050171:Dyslipidemias / Q000453:epidemiology; D042783:Endothelial Cells / Q000166:cytology*; D004730:Endothelium, Vascular / Q000166:cytology*; D005260:Female; D006412:Hematopoietic Stem Cells / Q000166:cytology*; D018056:Hemorheology; D006801:Humans; D006973:Hypertension / Q000453:epidemiology; D017379:Hypertrophy, Left Ventricular / Q000453:epidemiology; D007676:Kidney Failure, Chronic / Q000097:blood / Q000453:epidemiology / Q000628:therapy; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology; D006435:Renal Dialysis; D012307:Risk Factors; D012720:Severity of Illness Index
chemical_list: D000943:Antigens, Differentiation