Intestinal Microflora Structure And Function Analysis Of Asthma In Uighur Traditional Medicine And Western Medicine

Objective: To analyze the diversity and structure characteristics of gut microbiotain patients with asthma and find the possible relationship between gut microbiota andasthma disease and to identify the key functional members which participate theasthma；to clarify the foundation of abnormal Hilit differentiation of traditional Uyghurmedicine (TUM). Especially to make further comprehension of the biologic basis forabnormal Savda syndrome of TUM theory.Methods: In this case-control study project, we recruited control asthma patientswith and without abnormal savda syndrome, and comparatively examined the structureof the gut microbiota in these asthma patients by using PCR-DGGE profile and454pyrosequencing based on the16SrRNA V3region of bacteria to provide an in-depthanalysis of status-related differences of gut microbiota between different statusaccording to two medicine systems within small and large population.Results:(1) Based on the DGGE profile, the bands (7to31, averagely17) observedin asthma patients were less than that in controls (the value is from14to36, averagely24). The Shannon-Wiener diversity index is markedly lower in asthma patients thancontrols (P<0.0001). Using454pyrosequencing, it shows that the number and richnessof bacteria in the gut were significantly reduced. Combined with multivariate statisticalmethods analysis, it shows that two groups of sample were classified obviously by thestructure of gut microbiota. And the different within two nationalities has a statisticalsignificance.14operational taxonomic units (OTUs) were identified by redundancyanalysis as key variables significantly associated with the structural difference(MCPP，P=0.0002). This different distribution of these OTUs in the two groups ofsubjects may be associated with asthma onset.(2) Based on the DGGE profile,8to28bands (averagely16) were observed in the abnormal savda type asthma, while the value is from7to31, averagely18in the other abnormal hilit type asthma. The diversityindex is markedly lower in abnormal hilit type asthma patients than controls with thenumber of groups and richness decreased notably (P<0.0001), but no statisticalsignificance between the abnormal hilit type asthma groups. By using sequencing, thediversity of gut bacteria in abnormal hilit type asthma patients is decreased and thediversity index (Shannon–Weaver、Simpson_D) are lower than other groups (P<0.05).Combined with multivariate statistical methods analysis, it shows that2groups ofsamples with different syndrome were classified obviously by the structure of gutmicrobiota. Twenty-three operational taxonomic units (OTUs) were identified byredundancy analysis as key variables significantly associated with the structuraldifference （MCPP，P=0.0002). OTUs closely related to Bacteroides was markedlyenrich in the gut microbiota of abnormal savda syndrome patients.Conclusion: Using16SrRNA V3DNA fingerprinting and high-throughputsequencing technologies, the structure of gut microbiota were analyzed completely. Theresult shows that (1) The gut microbiota of asthma patient proceed remarkably changesat the molecular level to be associated with the gut micobiota diversity decreases andstructure changes notably. It may be related to asthma disease status. It indicates that thegut microbiota has the potential ability to forecast and monitoring the development ofasthma.(2) Our overall findings provides comprehensive data and improved methodsfor studying the theory of syndrome differentiation of TUM. Gut microbiota analysishave greater weight in TUM syndrome classification.(3) The variables (OTUs)belonged to different level might related to the formation and prognosis and one of theSpecific biological performance of abnormal Hilit savda. The gut microbiota analysisbased study could be an potential evidence-based tool for standardization of TUMsyndrome differentiation. This study provide sufficient evidence for study the theory ofTUM syndrome differentiation.