Effects of astragaloside on the levels of sex hormone and oxidative stress injury in rats with polycystic ovary syndrome

AIM To investigate the effects of astragaloside on the levels of sex hormone and oxidative stress in rats with polycystic ovary syndrome （PCOS）. METHODS Female SD rats （n=60） were randomly divided into normal control group, model group, Diane-35 （0.339 2 mg/kg） group, low dose astragaloside （12.5 mg/kg） group and high dose astragaloside （50 mg/kg） group, with 12 rats in each group. The PCOS model was induced by letrozole （1 mg/kg）, which was administered by gavage once a day for 3 weeks. After administration, the estrus cycle of the rats was observed by vaginal smear, and the ovarian index was calculated. HE staining was used to observe the histopathological changes of the ovaries. Serum levels of the sex hormones testosterone （T）, estradiol （E₂）, luteinizing hormone （LH） and follicle-stimulating hormone （FSH） were measured by ELISA. The levels of superoxide dismutase （SOD）, malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） in serum and ovarian tissue were detected by colorimetry, and the protein levels of steroidogenetic acute regulatory protein （StAR） and apoptosis-related proteins cleaved caspase-3, Bax and Bcl-2 in ovarian tissue were detected by Western blot. RESULT Compared with control group, the oestrous cycle of the rats in model group was disorder, and the ovarian index was increased, ovary was polycystic. The serum levels of T, LH and MDAwere significantly increased （P<0.05）, while the contents of E2, FSH and the activities of GSH-Px and SOD were significantly decreased （P<0.05）. The levels of MDA, StAR, cleaved caspase-3 and Bax proteins in ovarian tissue were significantly up-regulated （P<0.05）. GSH-Px and SOD activities and Bcl-2 protein levels were significantly down-regulated （P<0.05）. CONCLUSION Astragalosideeffectively balances the levels of sex hormone in PCOS rats and relieves the oxidative stress injury, the mechanism may be related to the inhibition of StAR expression.     

新时期高校财政学课程教学改革思路探讨

本文通过分析高校财政学课程教学与实践中存在的主要问题,分别从该课程的外界交流、教学专业特色、组织方式、教学内容与考核方式等方面进行了改革思路的探讨,旨在为提高高校财政学课程教学质量和深入推动素质教育提供参考。     

燕麦在法库县种植推广的可行性探讨

介绍燕麦的营养价值及其市场前景,阐述法库县在土质、气候、地理环境、人文环境等方面种植燕麦的条件优势,通过对比种植燕麦与玉米的经济收益,探索燕麦在法库县种植的潜力。     

发菜生存与生长分布的微生态环境

通过野外调查 ,研究和分析了对发菜生存与生长发育起直接作用的微土壤、微气候、微地形、微植被和风向等微生态环境。发菜对生存环境的选择性很强。其中 ,干一湿交替的微气候环境是一个起决定作用的关键性因子 ,是发菜生存和生长发育的必要条件。一方面 ,发菜藻体在干燥的状态下 ,有利于干物质的积累 ,是发菜生存和生长的必要前提 ;另一方面 ,发菜藻体只有在一定湿润状态下 ,才能生长发育。由于干旱气候环境所限 ,野生发菜的生长速度极为缓慢。     

Immune responses in piglets infected with highly pathogenic porcine reproductive and respiratory syndrome virus

Porcine reproductive and respiratory syndrome virus (PRRSV) infection compromises the host's innate and adaptive immunity. The aim of this study was to investigate the immune responses of piglets infected with highly pathogenic (HP) PRRSV (HuN4 strain) with or without the immunization with CH-1R attenuated PRRSV vaccine. The response was evaluated for the clinical signs, pathological changes and virus load in immune organs, antibody responses and levels of serum IFN-γ, IL-4 and IL-10. The result showed that in comparison with the piglets received the immunization, the piglets infected with HP-PRRSV alone had the thymus atrophy, decreased serum levels of IL-4 and increased serum levels of IL-10 and INF-γ. These results suggest that elevated IL-10 levels at the early stage of the infection may enhance virus survival and delay the induction of protective immunity, while increased levels of IL-4 induce the effective immune responses and increase the animals' health status.     

关于超声波测距器的设计与研究

随着科学技术的快速发展,超声波将在测距仪中的应用越来越广.但就目前技术水平来说,人们可以具体利用的测距技术还十分有限,因此,这是一个正在蓬勃发展而又有无限前景的技术及产业领域.展望未来,超声波测距仪作为一种新型的非常重要有用的工具在各方面都将有很大的发展空间,它将朝着更加高定位高精度的方向发展,以满足日益发展的社会需求.     

勇于开拓，不断创新，努力提高农业综合开发水平

平江县实施农业综合开发已有12个年头了。随着形势的发展．国家对农业综合开发的在不同时期其开发的任务也有所不同。农业综合开发的现阶段的建设重点和内容由过去以改造中低产田和开垦农荒地相结合,转到以改造中低产田为主和保护生态环境上来;由过去追求增加主要农产品产量为主,转到发展优质、高产、高效农业上来。如何创新思路,提高农业综合开发水平,需要在工作实践中不断探索。     

基于深度学习算法的京津冀地区综合干旱评估模型构建

及时准确的干旱评估对社会经济发展和农业生产具有重要的指导意义,当前的干旱评估指标通常仅考虑植被或降水等单方面影响因素,在实际干旱评估中存在一定的局限性。本研究综合考虑降水、温度、地形等多个干旱致灾因子,以主要产粮基地京津冀地区为例,基于2007-2017年地表温度（Land Surface Temperature,LST）、归一化植被指数（Normalized Difference Vegetation Index,NDVI）以及降水等多源数据,利用深度学习框架Tensorflow构建以标准化降水蒸散发指数（Standardized Precipitation Evapotranspiration Index,SPEI）为目标值的综合干旱评估模型。利用决定系数（R2）和均方根误差（RMSE）对模型进行测试;利用站点标准化降水指数（Standardized Precipitation Index,SPI）、土壤相对湿度数据以及2016年京津冀地区的气象灾害数据,从时间和空间上对模型的可靠性进行验证。结果表明：模型的训练集和测试集在不同月份上均表现较好（R2均大于0.5而RMSE均小于0.55）。模型输出的综合干旱指数（Comprehensive Drought Index,CDI）在密云站上与SPI和SPEI接近,变化趋势基本一致,并且与站点SPI和土壤相对湿度的相关系数分别大于0.7和0.4,均通过了0.01水平的显著性检验。空间上,相较于SPEI,CDI计算的2016年3-7月京津冀地区干旱事件结果与实际情况符合度更高,表明该模型适用于京津冀地区干旱评估。     

乌骨鸡蛋形指数对孵化率的影响研究

将乌骨鸡种蛋按蛋形指数分为Ａ（≤７２．０％）、Ｂ（７２．１％－７４．０％）、Ｃ（７４．１％－７６．０％）、Ｄ（７６．１％－７８．０％）、Ｅ（≥７８．１％）五组进行孵化,结果表明：五组包骨 受精蛋孵化率分别为８２．６％、８６．１％、９０．２％、８７．２％、８２．５％、Ｃ组显著高于Ａ、Ｂ、Ｄ、Ｅ各组（Ｐ〈０．０５）,并极显著地高于Ａ组和Ｅ组（Ｐ〈０．０１）,蛋形指数为７４．１％－７６．０％的乌骨鸡种蛋孵化效果最佳。