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Objective To investigate the changes in levels of serum irisin in patients with new-onset diabetes mellitus (DM) and its association with various metabolic parameters. Methods Fifty-eight patients with new-onset DM (DM group) and 64 people with normal glucose tolerance (NGT group) were selected. Serum irisin was detected by ELISA and its associations with metabolic parameters 〔 body mass index ( BMI) ，body fat mass，body fatpercentage，fasting plasma glucose (FPG)，2 h post-load plasma glucose (2 h PG)，Hemoglobin Au ，fasting insulin，homeostasis model assessment-β value，insulin resistance index，total cholesterol，triglyceride，high-density lipoprotein cholesterol (HDL-C)，low-density lipoprotein cholesterol (LDL-C) and free fatty acids (FFA) ] were analyzed by Spearman bivariate correlation. Logistic regression analysis was performed to assess the association between irisin level and DM. Results The serum irisin levels in the DM group and NGT group were 238. 03 (198. 97，279.43) and 286.48 (241. 88 ,355. 19) ng/mL，respectively (P < 0.01). Serum irisin level was negatively correlated with FPG (r = -0 . 246，P < 0.01) ，2 h PG (r = -0 . 184，P < 0 .0 5)，FFA (r = -0 . 199, P <0. 05) and was positively correlated with HDL-C； (r =0. 254,P <0. 01) . Serum irisin level was negatively correlated with DM (OR =0. 994，95% CI:0. 990 -0 . 998，P = 0.005). Conclusion Serum irisin level is significantly decreased in patients with new-onset DM，which is negatively correlated with DM. [ABSTRACT FROM AUTHOR]

[Objective]The aims of this study are to explore the characteristics of spatial and temporal dynamics of soil erosion in typical farmland conversion area under different topographic conditions before and after the'Grain for Green'project, and to provide scientific support for consolidating project results. [Methods]The RUSLE model was used to quantitatively analyze the spatial and temporal evolution characteristics of soil erosion intensity in Yan'an City from 1989 to 2019, and the distribution patterns of soil erosion on various elevations and slopes were explored in combination with topographic factors. The precipitation, vegetation and soil and water conservation factor affecting the change of soil erosion modulus were decomposed by the LMDI model and their contribution values were analyzed. The CA-Markov model was used to predict the soil erosion status of Yan'an City in 2029. [Results]The average soil erosion modulus in Yan'an City in 1989, 1999, 2009 and 2019 were 12 554. 80 t/(km²·a), 8 237. 17 t/(km²·a), 5 936. 57 t/(km²·a)and 4 473. 02 t/(km²·a), respectively. The erosion type was dominated by slight erosion, showing the spatial differentiation characteristics of low level in the south and high level in the north. The soil erosion intensity generally decreased with the increase of elevation, but the erosion increased at the fifth elevation. The soil erosion intensity was consistent with the slope gradient, and the erosion intensity increased with the increase of slope gradient. The inhibitory effect of vegetation factor and soil and water conservation factor on soil erosion had increased in recent years. The soil erosion situation in Yan'an City will be generally improved in 2029. [Conclusion]The soil erosion status in Yan'an City has improved significantly, but there is still the increased erosion in some areas. In the future, the high-altitude areas in the north and the bank areas of the Yellow River in the east of Yan'an City should be given more attention, meanwhile, the monitoring of high-slope areas should be strengthened. [ABSTRACT FROM AUTHOR]