VE和L-肌肽对大菱鲆幼鱼生长、抗氧化、非特异性免疫及血清生化指标的影响

实验以大菱鲆（Scophthalmus maximus）幼鱼[（14.00±0.02）g]为研究对象，采用2×4双因素设计，设2个VE水平（0和75 mg/kg）和4个L-肌肽水平（0、50、100和200 mg/kg），研究VE和L-肌肽对其生长、抗氧化、非特异性免疫及血清生化指标的影响。实验共分8组，每组3个重复，每个重复46尾鱼，实验周期为8周。结果显示:（1）在饲料中添加75 mg/kg VE显著提高了大菱鲆幼鱼增重率（WGR）和特定生长率（SGR）（P < 0.05），L-肌肽添加量≤100 mg/kg对实验鱼生长性能无显著影响（P>0.05），添加量为200 mg/kg时鱼体WGR、SGR和蛋白质效率（PER）显著降低，饲料系数（FCR）显著升高（P < 0.05）；（2）VE和L-肌肽对血清谷胱甘肽过氧化物酶（GSH-PX）、过氧化氢酶（CAT）活性和丙二醛（MDA）含量及肝脏总抗氧化能力（T-AOC）、超氧化物歧化酶（SOD）活性和MDA含量均具有显著的交互作用（P < 0.05），在VE 75 mg/kg水平下，L-肌肽添加量为50和100 mg/kg时血清GSH-PX活性最高，L-肌肽添加量为100和200 mg/kg时血清CAT活性最高且与添加量为50 mg/kg差异不显著（P>0.05），添加100 mg/kg肝脏T-AOC和SOD活性达到最高且50 mg/kg组的SOD与100 mg/kg组差异不显著（P>0.05），主效应结果显示，VE显著提高了血清T-AOC、SOD及肝脏CAT活性（P < 0.05），L-肌肽显著提高了血清T-AOC（P < 0.05）；（3）VE和L-肌肽对血清补体C3和LZM活性交互作用显著，在75 mg/kg VE水平下，L-肌肽添加量为50 mg/kg时，补体C3水平最高（P < 0.05），主效应显示，VE和L-肌肽对血清总蛋白（TP）影响均不显著（P>0.05）；（4）添加VE显著降低了血清总胆固醇（TCHO）和甘油三酯（TG）含量（P < 0.05），添加L-肌肽显著降低了血清TG含量，且在L-肌肽50 mg/kg时达到最低。综合考虑大菱鲆幼鱼[（14.00-39.43）g]的生长性能、抗氧化性能、非特异性免疫及血清生化指标得出，在实验配方条件下（鱼油70 g/kg，大豆卵磷脂10 g/kg），添加VE 75 mg/kg时，L-肌肽的适宜添加量为50 mg/kg。     

Simplified Aeroelastic Model for Fluid Structure Interaction between Microcantilever Sensors and Fluid Surroundings

Fluid-structural coupling occurs when microcantilever sensors vibrate in a fluid. Due to the complexity of the mechanical characteristics of microcantilevers and lack of high-precision microscopic mechanical testing instruments, effective methods for studying the fluid-structural coupling of microcantilevers are lacking, especially for non-rectangular microcantilevers. Here, we report fluid-structure interactions (FSI) of the cable-membrane structure via a macroscopic study. The simplified aeroelastic model was introduced into the microscopic field to establish a fluid-structure coupling vibration model for microcantilever sensors. We used the finite element method to solve the coupled FSI system. Based on the simplified aeroelastic model, simulation analysis of the effects of the air environment on the vibration of the commonly used rectangular microcantilever was also performed. The obtained results are consistent with the literature. The proposed model can also be applied to the auxiliary design of rectangular and non-rectangular sensors used in fluid environments.     

高糖通过诱导HT22细胞衰老和凋亡抑制细胞生长

目的探讨高糖(High glucose,HG)对小鼠海马神经元细胞HT22细胞的生长抑制作用,分析其是否通过HG诱导细胞衰老以及凋亡而实现。方法采用台盼蓝染色计数法检测细胞生长状况并绘制生长曲线,β-半乳糖苷酶(Senescence associated acidic-β-galactosidas,SA-β-Gal)染色法检测衰老的HT22细胞,Hoechst 33258染色法检测HT22细胞凋亡形态。结果(1)HG(13.5、27、40.5mg/ml,48h)能显著抑制HT22细胞生长(P0.05,P0.01);(2)HG(13.5、27、40.5mg/ml)处理48h可明显诱导SA-β-Gal染色阳性率增加(P0.001);(3)HG(13.5、27、40.5mg/ml,48h)能诱导HT22细胞发生凋亡(P0.001),且呈浓度依赖性。结论 HG可通过诱导HT22细胞衰老和凋亡而抑制HT22细胞生长。     

Multi-actor multi-criteria sustainability assessment framework for energy and industrial systems in life cycle perspective under uncertainties. Part 1: weighting method

Purpose

Life cycle sustainability assessment is meaningful for the decision-makers/stakeholders to select the most sustainable option among multiple alternatives; however, there are usually various severe uncertainty problems in sustainability-oriented decision-making, i.e., the vagueness and ambiguity that existed in human judgments and the lack of information. This study aims at developing a novel life cycle multi-criteria sustainability assessment method for helping the decision-makers/stakeholders to determine the sustainability level of the industrial and energy systems. In part 1, an improved interval analytic hierarchy process (AHP) which allows multiple decision-makers/stakeholders to participate in the decision-making was developed to determine the weights of the criteria which were used in life cycle sustainability assessment.

Methods

It is usually difficult for the decision-makers/stakeholders to use the numbers from 1 to 9 and their reciprocals for determining the comparison matrix when using the traditional AHP method for weight calculation, because human judgments usually involve various uncertainties. In order to the overcome this weak point of the traditional AHP, an improved AHP, so-called interval AHP, in which, multiple decision-makers/stakeholders are allowed to participate in the decision-making and allowed to use interval numbers instead of crisp numbers to establish the comparison matrix for determining the weights of the criteria for life cycle sustainability assessment, has been developed.

Results and discussion

The proposed method was used to determine the weights of the four aspects for life cycle sustainability assessment including economic, safety, social, and environmental aspects. Five representative stakeholders were invited to participate in the decision-making. After Monte Carlo simulation, the final weights of the four aspects have been determined with the proposed interval AHP.

Conclusions and perspectives

An interval AHP method was developed for determining the weights of the criteria for life cycle sustainability assessment; the decision-makers are allowed to use interval numbers to establish the comparison matrix for weight calculation. The weighting coefficients determined by Monte Carlo method can accurately reflect the preferences and willingness of multi-actor comparing with the traditional AHP method. This paper merely presents a novel method to calculate the weights of the criteria for life cycle sustainability assessment, but the method for determining the sustainability performance has been presented in part 2.

     

采用稳定碳同位素法分析白羊草在不同干旱胁迫下的水分利用效率

本研究以黄土高原乡土草种白羊草(Bothriochloa ischaemum(L.)Keng.)为研究对象,采用盆栽控制实验,比较白羊草在3个水分处理(CK80%FC、MS60%FC和SS 40%FC)下的生物量积累和分配模式、瞬时水分利用效率(WUE)、不同部位(新叶、老叶、茎、细根、粗根)的稳定碳同位素组成(δ~(13)C)和碳同位素分辨率(Δ~(13)C)及其相互关系,以及干旱胁迫下影响水分利用效率的主导环境因子。结果表明:1)重度干旱胁迫显著降低植物整体生物量,显著增加根冠比和细根生物量比例;2)随着干旱胁迫加剧,白羊草各器官的δ~(13)C均呈上升趋势,Δ~(13)C呈减小趋势,SS处理不同器官δ~(13)C和Δ~(13)C没有显著差异,CK和MS处理的各器官δ~(13)C均值表现分别为细根粗根老叶新叶茎、细根新叶老叶粗根茎,CK和MS处理Δ~(13)C的值总体呈根叶茎。3)新叶的δ~(13)CNL和Δ~(13)CNL与WUE的相关系数均最大,说明利用稳定碳同位素方法测定白羊草水分利用效率具有可行性。4)不同水分处理的WUE的主导影响因子不同,CK、MS、SS水分处理WUE分别受到叶面温度、大气水汽压亏缺和空气温度的影响最大。为采用稳定碳同位素方法指示白羊草水分利用效率可行性及阐明植物的胁迫响应机制提供理论依据。     

Bayesian nonparametric inference for panel count data with an informative observation process

In this paper, the panel count data analysis for recurrent events is considered. Such analysis is useful for studying tumor or infection recurrences in both clinical trial and observational studies. A bivariate Gaussian Cox process model is proposed to jointly model the observation process and the recurrent event process. Bayesian nonparametric inference is proposed for simultaneously estimating regression parameters, bivariate frailty effects, and baseline intensity functions. Inference is done through Markov chain Monte Carlo, with fully developed computational techniques. Predictive inference is also discussed under the Bayesian setting. The proposed method is shown to be efficient via simulation studies. A clinical trial dataset on skin cancer patients is analyzed to illustrate the proposed approach.     

The oxalyl‐CoA synthetase‐regulated oxalate and its distinct effects on resistance to bacterial blight and aluminium toxicity in rice

• Oxalic acid is widely distributed in biological systems and known to play functional roles in plants. The gene AAE3 was recently identified to encode an oxalyl‐CoA synthetase (OCS) in Arabidopsis that catalyses the conversion of oxalate and CoA into oxalyl‐CoA. It will be particularly important to characterise the homologous gene in rice since rice is not only a monocotyledonous model plant, but also a staple food crop.
• Various enzymatic and biological methods have been used to characterise the homologous gene.
• We first defined that AAE3 in the rice genome (OsAAE3) also encodes an OCS enzyme. Its K_m for oxalate is 1.73 ± 0.12 mm , and V_m is 6824.9 ± 410.29 U·min^?1·mg protein^?1. Chemical modification and site‐directed mutagenesis analyses identified thiols as the active site residues for rice OCS catalysis, suggesting that the enzyme might be regulated by redox state. Subcellular localisation assay showed that the enzyme is located in the cytosol and predominantly distributed in leaf epidermal cells. As expected, oxalate levels increased when OCS was suppressed in RNAi transgenic plants. More interestingly, OCS‐suppressed plants were more susceptible to bacterial blight but more resistant to Al toxicity.
• The results demonstrate that the OsAAE3‐encoded protein also acts as an OCS in rice, and may play different roles in coping with stresses. These molecular, enzymatic and functional data provide first‐hand information to further clarify the function and mechanism of OCS in rice plants.