title: The association between different monocyte subsets and coronary collateral development.
abstract: OBJECTIVE
  An increased circulating monocyte count has been found to be related to good collateral development in patients with stable coronary artery disease. Our aim in this study was to determine any possible relationship between the levels of circulating monocyte subsets and coronary collateral development.
  
  
  METHODS
  Patients who had greater than 95% stenosis of at least one major coronary artery in their first coronary angiogram were included consecutively in this study. Collateral development was graded as good and poor according to the Cohen-Rentrop method. Blood samples were subjected to cytometric analysis for the determination of monocyte subsets, CD14++CD16- and CD14+CD16+ monocytes.
  
  
  RESULTS
  Out of 105 patients, 55 had good and 50 had poor coronary collateral development. When the baseline characteristics were compared, the monocyte count was significantly higher in the good collateral group (517±151 vs. 396±109/mm3, P<0.001). Cytometric analysis indicated that CD14++CD16- levels were significantly higher in the good collateral group (422±147 vs. 298±105/mm3, P<0.001). CD14+CD16+ cells did not differ between groups (80±29 vs. 84±29/mm3, P=0.41). When multivariate analysis was performed, increased CD14++CD16- levels were still significantly associated with good collateral development [odds ratio: 1.009 (1.005-1.014), P<0.001].
  
  
  CONCLUSIONS
  Our present results are the first to show a significant association between increased circulating CD14++CD16- monocyte levels and good coronary collateral development. Further studies are needed to better understand the relationship between different subsets of monocytes and collateralization.
authors: Department of Cardiology, Türkiye Yüksek İhtisas Education and Research Hospital, Ankara, Turkey. ugurarslan5@yahoo.com
authors: Uğur
authors: U
authors: Arslan
authors: İbrahim
authors: İ
authors: Kocaoğlu
authors: Mesude Yılmaz
authors: MY
authors: Falay
authors: Mustafa
authors: M
authors: Balcı
authors: Serkan
authors: S
authors: Duyuler
authors: Ahmet
authors: A
authors: Korkmaz
mesh_terms: D000368:Aged; D015415:Biomarkers / Q000097:blood; D016009:Chi-Square Distribution; D003097:Collateral Circulation; D017023:Coronary Angiography; D003326:Coronary Circulation; D023921:Coronary Stenosis / Q000000981:diagnostic imaging / Q000276:immunology* / Q000503:physiopathology; D005260:Female; D005434:Flow Cytometry; D058851:GPI-Linked Proteins / Q000097:blood; D006801:Humans; D018950:Lipopolysaccharide Receptors / Q000097:blood; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009000:Monocytes / Q000145:classification / Q000276:immunology*; D015999:Multivariate Analysis; D016017:Odds Ratio; D017452:Receptors, IgG / Q000097:blood; D012720:Severity of Illness Index; D014421:Turkey
chemical_list: D015415:Biomarkers; C428200:FCGR3B protein, human; D058851:GPI-Linked Proteins; D018950:Lipopolysaccharide Receptors; D017452:Receptors, IgG