117 681 : 2A 2B 2C 2A 2B 2C 2A 2A 2B 2C 2A 2B 2C 2A : DNA Phöbus Blackly 1cm
117 682 2014 1 SYSTAT χ Complete linkage method χ 2A 2B 2C /cm /cm /cm 2A 2B 2C 2A 2B 2C 2A 2B 2C 2 A /cm 2A 2C
117 683 2 2A 2B 2C 3
117 684 2014 1 2A 2B 2C /cm : : : : /cm 4 2B 2C 2B 2C 2A 2B 2C 2A 2B 2C 2A /cm 2B 2C /cm 2A 2B 2C
117 685 5 /cm : /cm /cm /cm /cm : r 0 937 p 0 01 2A IgE 2A priming effect priming effect : 2C 2B paired t test p 0 012B 2C
117 686 2014 2C 2A :2A 2B 2C 2A 2B 2C 2C 2A,, :. ; :. SYSTAT : Statistics, Version 10 2 Edition. Evanston, Illinois, USA : Systat, 2003 Hulinks ;. :. Part II. ; :. Ito Y, Hattori R, Mase H, et al : Forecasting methods for sugi Cryptomeria japonica D. Don pollen count showing an alternate dispersal rhythm. Allergol Int 2008 ; 57 : 321 329.,,, :,. ; :., : Cryptomeria japonica. ; :.,,, :. ; :. Connell JT : Quantitative intranasal pollen challenges III. The priming effect in allergic rhinitis. J Allergy 1969 ; 43 : 33 44. : JOHNS 2013 ; 28 : 39 42., :. JOHNS 1994 ; 10 : 287 296. :. ; :.,,, :,. ; :.
117 687 Clustering Sugi pollen Dispersal Patterns for the Past 26 Years Yukiko Ito, M.D. Department of Otorhinolaryngology, National Hospital Organization, Mie chuo Medical Center, Tsu Background : Pollinosis caused by the pollen of Sugi Cryptopmeria japonica trees is the most significant allergic disease occurring in the spring in Japan. For pollinosis patients and medical staff, it is important to know when the pollen dispersion would reach maximum or when the pollen count would decrease as well as knowing what would the total density of pollen grains be. These sorts of information could be useful for the purpose of disease prevention and deciding on the therapeutic regimen. In this study, we presented the sugi dispersal patterns and cited several examples of the dispersal pattern. Methods : Airborne pollen grains were collected using a Durham sampler. Total annual pollen counts/cm 2 were examined. The sugi dispersal patterns were classified into several groups by cluster analysis using variables of ten days pollen counts distribution from February to April for the past 26 years. 1987 2012. Result : The annual pollen count revealed an alternate rhythm consisting of an on year high pollen count and an off year low pollen count. The results of the cluster analysis showed eleven off years classified as one group group 1, and fifteen on years classified into three groups groups 2A, 2B, and 2C. The dispersal pattern in group 1 was almost symmetrical with the pollen count rapidly decreasing until late March. On the other hand, the patterns in group 2 were asymmetrical. In group 2A and 2B a high rate of dispersion was indicated after maximum dispersion, whereas in group 2C the high rate of dispersion was indicated before maximum dispersion. In group 2A, a major dispersion of almost 3000 grains was noted in late March, and immediately proceeded to the cypress Chamaecyparis pollen season without any decrease seen in pollen dispersion. The periods of dispersion of over 10 pollen grains/cm 2 per day were 38, 47, 47 and 51 days in groups 1, 2A, 2B and 2C, respectively. That in group 2 was significantly longer than that in group 1, but there was no significant differences between groups 2A, 2B and 2C. Conclusion : In conclusion, in the dispersal pattern whereby a major dispersion was seen in late March and proceeded to the cypress pollen season such as in group 2A, patients symptoms might be prolonged or be more serious. This new concept of dispersal pattern could very well be useful for clinical management of pollinosis. Keywords : Sugi pollinosis, airborne pollen dispersion, cluster analysis, dispersal pattern Nippon Jibiinkoka Gakkai Kaiho Tokyo 117 : 681 687, 2014