Anti-diabetic activities of cultured mycelia from Ganoderma applanatum are being evaluated in this study. The OGTT and 4-weeks of repeated oral efficacy tests are conducted in mice at the doses of 0 (vehicle treatment), 25, 75 and 225 ㎎/㎏/day, respectively. In human study, the test article was administered orally every day for 8-week at a dose of 1,500 ㎎/㎏, tid and placebo group. The blood glucose levels (BGL) at 0.5 hour after treatment are significant decreased in all treatment groups of OGTT test. In the 4-week test, BGL of 75 and 225 ㎎/㎏/day group is continuously decreased during all treatment periods and the BGL of 25 ㎎/㎏/day group show decreasing trends at the final week, the pancreas weight of all treatment groups are being increased, and the Langerhans-islet numbers were increased at all treatment groups with a dose-response manner. There are no test article-related abnormal signs and the fasted blood glucose (FBG), postprandial blood glucose (PPG) and HbA1c are decreased significantly after 8-week treatments. These results that the cultured mycelia from Ganoderma applanatum could decrease BGL by protecting the degeneration of Langerhans islets.

The traffic accidents in large cities such as Pusan metropolitan city have been increased every year due to increasing of vehicles numbers as well as the gravitation of the population. In addition to the carelessness of drivers, many meteorological factors have a great influence on the traffic accidents. Especially, the number of traffic accidents is governed by precipitation, visibility, humidity, cloud amounts and temperature, etc. In this study, we have analyzed various data of meteorological factors from 1992 to 1997 and determined the standardized values for contributing to each traffic accident. Using the relationship between meteorological factors(visibility, precipitation, relative humidity and cloud amounts) and the total automobile mishaps, an experimental prediction formula for their traffic accident rates was seasonally obtained at Pusan city in 1997. Therefore, these prediction formulas at each meteorological factor may be used to predict the seasonal traffic accident numbers and contributed to estimate the variation of its value according to the weather condition in Pusan city.