Crowd Phlegm Syndrome Element Distribution, And Relationship With Physiological And Biochemical Indicators Of Inflammatory Adipokines

Objective:Discussion BMI≥24TCM phlegm population distribution of elements, as well as indicators of the population screened blood, serum inflammatory adipokines (TNF-a, IL-6, CXCL-5, CRP) and sputum correlation for possible microscopic indicators TCM diagnosis.Methods:1.Phlegm syndrome elements and relationship analysis:Using Professor Zhu Wenfeng raised syndrome differentiation system, collecting BMI≥24four diagnostic information officers conducted syndrome differentiation, staff calculated for each certificate prime integrator,≥100permits the determination of the integral elements that permit prime diagnosis was established. According phlegm prime diagnosis was established or not, the crowd divided into groups of phlegm, non-phlegm syndrome group. Using frequency statistics, using the chi-square test certificate hormone analysis of the frequency difference between the two groups, as well as analysis of different factors permit the frequency difference between the frequency difference between the group of phlegm, phlegm syndrome elements analyzed different sets of sex workers, as well as different permit the emergence of prime age workers frequency differences.2.50kinds of indicators network analysis methods:extract50kinds of indicators related to the correlation matrix of pairwise correlation coefficient>0.5was significantly associated (P<0.05) relationships, build a network50kinds of indicators, using Gephi factors calculated for each feature vector card center degrees.3.Phlegm and inflammatory adipokines relationship:the use of inflammatory adipokines content between non-parametric test group and the non-contrast phlegm phlegm between exploration permit correlation factors and inflammatory adipokines, non-parametric test phlegm some kind of syndrome elements and folders and content with no difference between the inflammatory adipokines folderResults:The crowd on BMI≥24survey, compared to non-phlegm phlegm staff personnel, liver, spleen, kidney, wet, qi stagnation, heat, blood stasis, qi deficiency diagnosis was established ratio significantly increased (P<O.05).50kinds of analysis methods used for indicators of social network discovery, white blood cell count change indicators greatest impact on50kinds of indicators. Four kinds of inflammatory adipokines TNF-a, IL-6, CXCL5, CRP were not significantly different (P>0.05) in serum levels phlegm group and non-phlegm with phlegm there is no significant correlation (P<0.05) but CXCL5phlegm and CRP in serum was higher than in non-phlegm groups. Research and phlegm CXCL5complex syndromes relationship discovery, composition relationship CXCL5and kidney, sputum most closely. Sputum and folders and folders qi qi than does the BMI≥24persons, serum CXCL5levels were significantly higher (P<0.05).Conclusions:1.BMI≥24bits phlegm staff sick liver, spleen, kidney-based, disease resistance to humidity, air stagnation, heat, blood stasis, qi based.2.female staff phlegm liver, kidney bit more common than men. Phlegm syndrome element distribution of staff of different ages are basically the same.3.For physiological and biochemical changes in the population of white blood cell count, the impact of the largest crowd50kinds of indicators.4.Sputum and folders and folders qi qi than does the BMI≥24persons, significantly higher serum levels of CXCL5.