Objective to investigate the efficacy of moxibustion treatment to rheumatoid arthritis(RA) patients and the impact to blood levels of rheumatoid factor(RF) ,C reactive protein(CRP) ,and interleukin-6(IL-6) .Methods RA patients were divided in-to treatment group and comfort group .The two groups were treated by moxibustion and sham-moxibustion for 2 courses ,respec-tievely .Results Overall clinical efficacy rate was higher in treatment group than in comfort group(P<0 .01) .The arthralgia ,ar-throcele ,tenderness and its degrees ,and morning stiffness time were significant improved in both groups(P<0 .05) ,and the indexes were better in treatment group than comfort group(P<0 .05) .The blood levels of RF ,IL-6 and CRP were reduced after treatment in both groups(P<0 .05) ,and which of treatment group reduced more than those of comfort group(P<0 .05) .Conclusion Moxi-bustion treatment can significantly improve clinical outcomes of RA and markedly reduce the blood levels of RF ,IL-6 and CRP of RA patients .

Coronary artery disease (CAD) is a complex human disease, involving multiple genes and their nonlinear interactions, which often act in a modular fashion. Genome-wide single nucleotide polymorphism (SNP) profiling provides an effective technique to unravel these underlying genetic interplays or their functional involvements for CAD. This study aimed to identify the susceptible pathways and modules for CAD based on SNP omics. First, the Wellcome Trust Case Control Consortium (WTCCC) SNP datasets of CAD and control samples were used to assess the joint effect of multiple genetic variants at the pathway level, using logistic kernel machine regression model. Then, an expanded genetic network was constructed by integrating statistical gene–gene interactions involved in these susceptible pathways with their protein–protein interaction (PPI) knowledge. Finally, risk functional modules were identified by decomposition of the network. Of 276 KEGG pathways analyzed, 6 pathways were found to have a significant effect on CAD. Other than glycerolipid metabolism, glycosaminoglycan biosynthesis, and cardiac muscle contraction pathways, three pathways related to other diseases were also revealed, including Alzheimer’s disease, non-alcoholic fatty liver disease, and Huntington’s disease. A genetic epistatic network of 95 genes was further constructed using the abovementioned integrative approach. Of 10 functional modules derived from the network, 6 have been annotated to phospholipase C activity and cell adhesion molecule binding, which also have known functional involvement in Alzheimer’s disease. These findings indicate an overlap of the underlying molecular mechanisms between CAD and Alzheimer’s disease, thus providing new insights into the molecular basis for CAD and its molecular relationships with other diseases.