药物制剂技术在基因药物研制中的应用

基因药物是未来药物的发展方向,必须研究适宜的给药系统以促进基因药物的吸收和控制药效。基因药物的给药途径主要包括注射、口服、肺靶向、脑靶向和心血管基因转换等。所采用的剂型主要包括微球、脂质体、微乳等。本文就基因药物给药途径、所采用的主要剂型及各自所具备的优势作一综述。另外,简要介绍了基因药物给药系统的纳米技术。     

高雄山虫草无性型—细脚拟青霉的研究进展

高雄山虫草 (CordycepstakaomontanaYakushiji&Kumazawa)及其无性型细脚拟青霉 [Paecilomycestenuipes(Peck)Samson]是近年来在日本和韩国研究开发较为成功的一个虫草资源。文章综述了它们在生物学、药理学、毒理学、化学及人工培养等方面的研究进展 ,为国内进一步开发利用这一虫草资源提供参考。     

土壤有机磷研究进展

土壤有机磷在农业生态系统的物质循环过程中具有重要作用．研究土壤有机磷,对深入了解土壤-植物系统中磷的营养循环特征具有重要意义．结合国内外已有成果和最新研究进展,从土壤有机磷含量及其影响因素、土壤有机磷的形态和测定方法、土壤有机磷的分组和施肥的影响、土壤有机磷的矿化等几个方面综述了国内外土壤有机磷的研究现状,并提出了目前在土壤有机磷研究中存在的一些问题以及今后研究的热点．     

苹果叶片组培再生系统研究进展

几十年来 ,苹果叶片培养再生技术取得了较大的进展。叶片再生主要有器官发生和胚状体发生两种途径。影响叶片再生的主要因素有基因型、培养基、叶片发育阶段及生理年龄、暗培养等。就近年来国内、外学者在此方面的研究进展、存在问题及前景作简要概述。     

小麦吸浆虫滞育研究进展

小麦吸浆虫Sitodiplosismosellana(Gehin)和Contariniatritici(Kirby)是小麦生产中间歇性猖獗发生的害虫 ,也是一种具有典型的滞育多态性的昆虫。该文从滞育特点、影响滞育的因素、滞育幼虫的形态变化、滞育生理特征、滞育幼虫的化学物质变化和我国小麦吸浆虫滞育区划等 6个方面 ,较全面地回顾总结了国内外小麦吸浆虫滞育研究的进展情况 ,并对今后的研究工作进行了展望。     

草坪地下害虫蛴螬的生物防治研究进展

蛴螬是草坪上最重要的一类地下害虫 ,对草坪的危害极大。文章综述了应用昆虫病原线虫、昆虫病原细菌、昆虫病原真菌、原生动物、昆虫病毒和寄生性、捕食性天敌昆虫等生防因子防治草坪害虫蛴螬的研究进展 ,并对未来草坪害虫蛴螬防治的研究发展方向做了一些探讨。     

Technical enzymes produced in transgenic plants

Technical enzymes are used in many industrial applications. Nowadays technical enzymes are often produced in transgenic host organisms. The use of transgenic plants with respect to high level of expression at low costs as a prerequisite for successful commercial production of technical enzymes is discussed. This review summarises recently published examples for production of technical enzymes in plants. In addition, plastid transformation and viral vectors are discussed as methods which might be useful for obtaining high expression level of recombinant proteins in plants.     

Advancing understanding of the complex nature of urban systems

Cities and urbanized regions are complex, dynamic, and highly integrated systems linking social, ecological, and technical infrastructure domains in ways that create deep challenges for good governance, policymaking, and planning. The combination of impacts from climate change in cities, air pollution, rapid population growth, multiple sources of development pressure and overall urban system complexity make it difficult for decision-makers to develop and guide development trajectories along more livable, equitable, and at the same time, more resilient pathways. Advancing urban sustainability and resilience agendas requires expanding the scope of inter- and trans-disciplinarity approaches, moving beyond the historically separate social–ecological and socio-technical approaches to jointly study social–ecological–technical infrastructure systems in cities. We take urban complexity as a given and suggest that in both research and practice we need to better capture and understand feedbacks, interdependencies, and non-linearities which create uncertainties and challenge the efficacy of governance practices to achieve normative goals for society. Here, we explore new methods, tools, and approaches to advance our understanding of urban system complexity through a series of journal special issue articles that examine urban structure–function relationships, urban sustainability transitions, green space availability, social–ecological memory, functional traits, and urban land use scenarios.     

Against autonomy: How proposed solutions to the problems of living wills forgot its underlying principle

Significant criticisms have been raised regarding the ethical and psychological basis of living wills. Various solutions to address these criticisms have been advanced, such as the use of surrogate decision makers alone or data science-driven algorithms. These proposals share a fundamental weakness: they focus on resolving the problems of living wills, and, in the process, lose sight of the underlying ethical principle of advance care planning, autonomy. By suggesting that the same sweeping solutions, without opportunities for choice, be applied to all, individual patients are treated as population-level groups—as a theoretical patient who represents a population, not the specific patient crafting his or her individualized future care plans. Instead, advance care planning can be improved through a multimodal approach that both mitigates cognitive biases and allows for customization of the decision-making process by allowing for the incorporation of a variety of methods of advance care planning.