Effect of Zinc Oxide nanoparticles on cellular oxidative stress and antioxidant defense mechanisms in mouse liver

Zinc oxide nanoparticles (ZnO₂), a common ingredient of cosmetics has a huge variety of applications. Previous studies reported oxidative stress mediated toxicity of ZnO₂ nanoparticles on various mammalian cell lines. Although zinc (Zn) is an essential mineral at higher concentrations this metal is toxic. The present study focused on size determination by monitoring changes in activities of antioxidant defense mechanism in response to oxidative stress induced by ZnO₂ nanoparticles using mouse liver tissue homogenates. The study also investigated effects of oxidative stress induced DNA damage by determining formation of 8-OHdG in mouse liver homogenate. A cytotoxicity assay was also carried out in L929 cells to determine cell viability. The results of the study indicated that 50μg/ml of ZnO₂ nanoparticles induced 50% cell death. Alterations in antioxidant parameters and 8-OHdG were also noted. Data showed that there was a concentration-dependent fall in cell viability, decrease antioxidant enzyme levels and increase formation of DNA adduct (8-OHdG) when mouse liver tissue homogenate were exposed to ZnO₂ nanoparticles.     

A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia,China

Two models, artificial neural network (ANN) and multiple linear regression (MLR), were developed to estimate typical grassland aboveground dry biomass in Xilingol River Basin, Inner Mongolia, China. The normalized difference vegetation index (NDVI) and topographic variables (elevation, aspect, and slope) were combined with atmospherically corrected reflectance from the Landsat ETM+ reflective bands as the candidate input variables for building both models. Seven variables (NDVI, aspect, and bands 1, 3, 4, 5 and 7) were selected by the ANN model (implemented in Statistica 6.0 neural network module), while six (elevation, NDVI, and bands 1, 3, 5 and 7) were picked to fit the MLR function after a stepwise analysis was executed between the candidate input variables and the above ground dry biomass. Both models achieved reasonable results with RMSEs ranging from 39.88% to 50.08%. The ANN model provided a more accurate estimation (RMSE_r = 39.88% for the training set, and RMSE_r = 42.36% for the testing set) than MLR (RMSE_r = 49.51% for the training, and RMSE_r = 53.20% for the testing). The final above ground dry biomass maps of the research area were produced based on the ANN and MLR models, generating the estimated mean values of 121 and 147 g/m², respectively.     

温度和溶菌酶敏感菌株的L-谷氨酸合成

用温度敏感型菌株发酵生产L-谷氨酸不存在生物素亚适量问题,因此该方法在国际上被广泛使用.通常采用对出发菌株进行传统诱变的方法获得温度敏感型菌株.以谷氨酸棒杆菌CICC 10226为出发菌株,先克隆其ItsA基因,然后通过基因敲除的方法构建了突变菌株Corynebacterium glutamicum WT ΔL,该菌株同时具有温度敏感性和溶菌酶敏感性.经透射式电子显微镜观察发现,于38℃培养的突变株细胞与在30℃培养的同一种细胞相比,细胞明显增大,而出发菌株无该现象.发酵试验表明,在生物素过量的情况下,在发酵进入细胞产酸期后通过将发酵温度从原来的30℃提高到38℃,温度敏感突变株的产酸量增加近5倍.如果在发酵培养基巾添加适量的琥珀酸和乙酸,该菌株与不添加的在30℃培养的对照相比,产酸量增加近6.5倍.对于野生型出发菌株而言,在生物素过量的情况下,无论是否采用变温发酵方法都几乎不产酸.说明温度敏感突变株即使在生物素过量的情况下也能通过变温发酵诱导其合成并分泌产生L-谷氨酸.图10表1参13     

Identifying the possibilities and pitfalls of conducting IUCN Red List assessments from remotely sensed habitat information based on insights from poorly known Cuban mammals

The International Union for Conservation of Nature's Red List of Threatened Species (RLS) is the key global tool for objective, repeatable assessment of species’ extinction risk status, and plays an essential role in tracking biodiversity loss and guiding conservation action. Satellite remote sensing (SRS) data sets on global ecosystem distributions and functioning show exciting potential for informing range-based RLS assessment, but their incorporation has been restricted by low temporal resolution and coverage of data sets, lack of incorporation of degradation-driven habitat loss, and noninclusion of assumptions related to identification of changing habitat distributions for taxa with varying habitat dependency and ecologies. For poorly known mangrove-associated Cuban hutias (Mesocapromys spp.), we tested the impact of possible assumptions regarding these issues on range-based RLS assessment outcomes. Specifically, we used annual (1985–2018) Landsat data and land-cover classification and habitat degradation analyses across different internal time series slices to simulate range-based RLS assessments for our case study taxa to explore potential assessment uncertainty arising from temporal SRS data set coverage, incorporating proxies of (change in) habitat quality, and assumptions on spatial scaling of habitat extent for RLS parameter generation. We found extensive variation in simulated species-specific range-based RLS assessments, and this variation was mostly associated with the time series over which parameters were estimated. However, results of some species-specific assessments differed by up to 3 categories (near threatened to critically endangered) within the same time series, due to the effects of incorporating habitat quality and the spatial scaling used in RLS parameter estimation. Our results showed that a one-size-fits-all approach to incorporating SRS information in RLS assessment is inappropriate, and we urge caution in conducting range-based assessments with SRS for species for which habitat dependence on specific ecosystem types is incompletely understood. We propose novel revisions to parameter spatial scaling guidelines to improve integration of existing time series data on ecosystem change into the RLS assessment process.     

环境砷中毒人群皮肤损害与DNA氧化损伤的关联性

选择内蒙古自治区某县长期暴露于高砷饮用水的人群中有皮肤损害者199人(病例组)和无皮肤损害者91人(对照组)作为研究对象,检测饮用水砷、尿砷和DNA氧化损伤的主要标志物8-羟基脱氧鸟苷(8-OHdG)水平,以分析慢性砷中毒人群DNA氧化损伤与皮肤损害的相关性.结果表明,砷性皮肤损害组和无皮肤损害组人群尿中8-OHdG水平的中位数(四分位间距)分别为4.9(3.5~6.3)μg/g和5.3(4.1~7.2)μg/g,2组对象尿中8-OHdG水平间差异无统计学意义(P=0.074);多元Logistic回归分析结果显示,在校正了年龄、体质指数(BMI)、吸烟、饮酒和饮用高砷水时间等可能的混杂因素后,皮肤损害组人群尿中8-OHdG水平升高的比值比(OR)为1.1(95%CI:0.6,1.9),提示在砷暴露人群中,有无皮肤损害与8-OHdG水平的差异无统计学意义(P=0.863).慢性砷中毒人群皮肤损害与体内的DNA氧化损伤之间无显著的关联性,无皮肤损害人群同样有DNA氧化损伤的风险.     

太湖背角无齿蚌组织中8-羟基脱氧鸟苷的含量及在水体污染评价中的初步应用

对2003--2008年闯采集自太湖不同水域的9个背角无齿蚌（Anodontawoodiana）样品组织中的DNA损伤产物-8-羟基脱氧鸟苷（8-hydroxy-2-deoxyguanosine,8-OHdG）的水平进行了分析,同时研究了蚌体组织中重金属cd2＋和有机污染物PCBs的蓄积残留量,以探明水体污染和DNA损伤的相关性。研究结果显示,9个样本中的8-OHdG的含量在1．021-8．886ng．g-1之间,尤其以无锡三山岛和宜兴大浦这2个水域的样本最为突出,差异显著,表明上述水域已受到较严重的污染。PCBs在9个样本中有7个检出,但含量无明显差异（P〉0．05）,表明PCBs并非引起背角无齿蚌体内DNA损伤的主要污染因素。而背角无齿蚌组织中的cd2＋残留量与8-OHdG水平间存在显著的剂量一效应关系,呈正相关。这一结果与实验室内的模拟试验相吻合,提示重金属cd2＋是引起水体中背角无齿蚌DNA受损的主要污染因素。研究显示,背角无齿蚌机体组织中的8-OHdG具有稳定性强、测定方法简单快速、在一定的范围内具有显著的剂量—效应关系、实验室与野外分析相吻合等特点,因此可作为分子生物标志物来评价生物体受水环境持久性污染物污染而导致的DNA损伤效应。     

中国部分地区2021年几次典型沙尘天气遥感监测分析

2021年,中国北方地区经历了多轮大范围沙尘天气,波及西北、华北、东北甚至黄淮、长三角等地区。其中,3月份出现自2010年以来最强沙尘天气过程。该研究基于Himawari-8静止卫星数据和地面同步空气站点监测数据,分析了2021年3月14—17、27—30日和4月14—15日3次典型沙尘天气过程。分析结果显示：2021年3月14—17日沙尘天气影响范围最广,沙尘分别在不同时间段起源于蒙古国西北部、中国甘肃和青海交界处、新疆和甘肃交界处,大范围沙尘天气是多处尘源综合作用的结果。3月27—30日和4月14—15日沙尘主要起源于蒙古国,沙尘源较单一,影响范围相对集中,但某些时段受影响区域的沙尘强度很高。地面同步空气站点PM₁₀监测数据与卫星数据有很好的一致性。     

基于热红外遥感的广西平果县石漠化初步研究

中国西南喀斯特地区石漠化问题十分严重。为更好地利用卫星遥感监测和评价石漠化现状,提出了一种基于卫星热红外遥感的石漠化等级划分的新方法。以广西平果县为研究区,利用2014年Landsat 8热红外遥感影像分别提取夏季和冬季的亮温值并计算亮温差,经过高分影像建立典型样本区并分析亮温差,确定不同石漠化等级的亮温差阈值,最后对全县石漠化进行等级划分。结果显示,平果县2014年重度石漠化面积占喀斯特区域面积的比例为3.87%,中度石漠化占9.19%,轻度石漠化占22.26%,潜在石漠化占57.46%,非石漠化占7.22%。研究表明,通过确定适当的夏冬季亮温差阈值可以有效地对石漠化程度进行分级划分,该新方法与已有方法相比,具有物理意义明确、方法简单有效、结果客观等优点,具有推广应用价值。     

基于多源遥感影像融合的武汉市土地利用分类方法研究

准确高效的获取土地利用信息,对于合理利用和开发土地资源具有十分重要的意义。在快速城镇化地区,土地利用活动频繁且密集,土地利用格局演变十分剧烈,增加了城市土地利用精准分类的不确定性;且受环境气候和云雨天气影响增加了有效光学影像获取的难度。为提高城市土地分类精度,该文选取武汉市中心城区为研究案例,以Sentinel-1A和Landsat8 OLI影像为数据源,采用Gram-Schmidt变换方法进行影像融合,选取最大似然、支持向量机、CART决策树、BP神经网络等4种分类方法对融合的影像进行分类,提取了研究区土地利用信息,并对其进行分析。进一步,通过与光学影像的分类结果对比,探究了Sentinel-1A和Landsat8 OLI融合影像在土地利用信息提取方面是否具有优势。研究结果表明:(1)对比其他3种方法,CART决策树分类方法对于融合后的影像分类精度最高,总体分类精度和Kappa系数分别达到88.55%和0.841 4;(2)与光学影像相比,Sentinel-1A和Landsat8 OLI融合影像可以更有效地获取高精度城市土地利用信息;(3)基于多源遥感影像融合的CART决策树分类方法是获取研究区高精度土地利用信息的一种行之有效的技术手段。研究成果可为快速城镇化区域的土地利用分类提供参考。     

基于国内外灾害经济研究与管理实践的启示

中外学者从不同视域对灾害经济与管理问题进行了研究,形成了一些有代表性的观点。各国政府在防灾减灾、灾后重建等方面也积累了大量的经验。这些观点和经验为我们深入研究灾害管理机制奠定了基础,结合汶川8.0级地震导致的惨重损失及灾后重建出现的问题,阐述了构建我国以人为本的灾害管理机制和可持续重建地震灾区的基本对策。