Body fat composition enhances the predictive ability of changes in white blood cell levels associated with the risk of chronic disease development

The study aimed to revalidate the influence of WBCs on chronic disease risk factors and to verify which markers are independently involved in WBC level changes in a Korean population. A total of 80 Korean subjects were divided into three groups, according to the WBC count: mild decrease in WBC, normal WBC, and mild increase in WBC. Fasting blood samples for analyzing biochemical parameters and inflammatory markers were obtained from the subjects, and their body fat composition was evaluated by dual energy x-ray absorptiometry and computed tomography. The WBC levels were related to levels of adiponectin, triglyceride, and insulin, which are associated with the risk of chronic diseases. In the mild increase in WBC group, high-sensitivity C-reactive protein (hs-CRP) and TNF-a levels increased, and s.c. fat area at the first lumbar vertebrae and fourth lumbar vertebrae decreased. The WBC count positively correlated with hs-CRP and TNF-a levels and most of the body fat composition data, evaluated by dual energy x-ray absorptiometry and computed tomography. Notably, hs-CRP and TNF-a levels, fat mass, and visceral-to-s.c. fat area ratio at the first lumbar vertebrae were revealed as independent predictors of WBC level change. Finally, the receiver operating characteristic curve analysis showed that the additional use of body fat composition data with the conventional inflammatory markers reliably enhanced the predictive capacity of WBC level changes. Thus, we suggest that by controlling inflammatory markers and body fat composition, WBC levels can be kept within a range that is safe from the risk of chronic diseases.