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Correlation between CD16~+ monocyte percentage and body mass index in coronary heart disease patients

PANG Bo;ZHANG Dandan;ZHAO Juan;WU Jing;HOU Xueyun;YE Honglei;GU Chun;CUI Xiangning;LIU Guijian;Department of Clinical Laboratory,Guang′anmen Hospital,China Academy of Chinese Medical Sciences;Department of Cardiology,Guang′anmen Hospital,China Academy of Chinese Medical Sciences;  
Objective Body mass index(BMI)is one of the most acknowledged risk factors for coronary artery disease.Monocyte is also involved in the occurrence of coronary artery disease.The purpose of this study is to investigate whether the proportion of monocytes in different subsets was associated with BMI in patients with coronary artery disease.Methods A total of 48 consecutive patients with coronary artery disease were enrolled.They were divided into two groups according to BMI(the cutoff value was 25 kg/m2).There were 21 patients in the normal weight group and 27 patients in overweighted or obese group.General information of the patients was collected,as well as the clinical test results including routine blood test results,et al.Cell surface markers of CD14 and CD16 were detected by flow cytometry,and the proportion of different monocyte subsets was analyzed by flow cytometry.The results were statistically analyzed by SPSS software.ResultsThe proportion of CD16+monocytes in the overweighted group was significantly higher than that in the normal BMI group[(17.2±8.1)%vs.(12.6±4.8)%,P=0.025],and the other monocyte subsets showed a certain change trend but not significant.There was no significant difference in other parameters,such as the total number of white blood cells,the proportion of neutrophils and the proportion of monocytes(P0.05).Correlation analysis showed that the proportion of CD16+monocytes was positively correlated with BMI(r=0.331,P=0.020).Conclusion The difference between CD16+monocyte percentage and BMI in patients with coronary heart disease was significant.Further study of the relationship among BMI,inflammatory state,and coronary artery disease may help to understand the molecular mechanisms of the occurrence and development of coronary artery disease.
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