The acceptability of continuous cell lines: A personal & historical perspective

In the 1950s, only primary cell cultures were acceptable for the production of human biological products. This position was challenged in the late 1960s by human diploid cells (HDCs), and again in the 1980s by continuous cell lines (CCLs). The history of the HDC controversy is reviewed and lessons from that era that are relevant to the use of CCLs are pointed out. It became apparent in the early days of recombinant DNA technology in the 1980s that CCLs were needed for the development of some products. CCL acceptability therefore became more urgent, and several attempts were made to reach a consensus on regulatory issues. In 1986, the World Health Organization convened a Study Group to review the safety issues related to products derived from CCLs. The Study Group made a clear recommendation to pursue CCLs in product development because of the demonstrated capability of modern manufacturing processes to cope with contaminants. Issues such as acceptable levels of cellular DNA in products and the relationship of purity to safety are discussed in the context of the need for regulatory authorities, industry, and the general biomedical community to cooperate in addressing problems in a rational scientific manner.     

城市化区域生态风险驱动力及管控策略——以北京市为例

快速城市化导致城市及周边区域生态风险不断增加,认知城市化区域生态风险,探究其变化的驱动因素,提出行之有效的风险管控策略,对城市化区域生态环境与社会经济协调发展具有重要意义。以北京市为例,基于生态系统服务对生态风险进行了定量表征,分析了城市化因素对生态风险的驱动作用,探究了生态风险管控策略。研究结果表明：不透水地表扩张、经济增长、人口增长均对生态风险有显著的驱动作用,其中不透水地表扩张的驱动作用占主导地位。经济增长和人口增长通过影响不透水地表率间接作用于生态风险,在2005年时,人口密度对生态风险的驱动作用大于GDP强度,在2010年及之后,GDP强度对生态风险的驱动作用则变得比人口密度的驱动作用更大。北京市的生态风险管控策略为：在不透水地表率介于40%—70%的区域降低不透水地表率和实施土地利用及景观格局优化;不透水地表率大于70%的区域应防止不透水地表进一步扩张;不透水地表率低于40%的区域需通过提升生态系统质量、强化风险防范、降低风险暴露等途径来管控风险。此外,应通过提高海淀、昌平、通州、顺义等辖区的人口和经济城市化集约水平来降低生态风险。本研究阐明了城市化对区域生态风险的驱动作用...     

Geostrategic Supply Risk and Economic Importance as Drivers for Implementation of Industrial Ecology Measures in a Nitrogen Fertilizer Production Company

Among other concerns, safeguarding the supply chains of raw materials is an important task for industrial companies. Therefore, not surprisingly, the number of scientific publications concerning the evaluation of resource criticality has increased in recent years. However, it was noticed that currently published methodologies are too complex to be applied by industrial companies on a daily basis. For this reason, the need to develop a methodology that would allow not only assessing resource criticality, but could also be integrated into widely applied methodological frameworks as an additional driver to improve resource efficiency was identified. Geostrategic supply risk and economic importance were chosen as key indicators to analyze and assess relative resource criticality. The developed methodology was field tested by applying it to a resource‐intensive nitrogen fertilizer production company. Five scenarios for resource efficiency improvements, consisting of cleaner production and industrial symbiosis measures, were investigated. If all the proposed measures were implemented, consumption of natural gas would decrease by 3.552 million cubic meters per year (0.3% of the total consumption). However, not all identified measures contribute to a reduction of the overall criticality of resources for the production company. Nevertheless, the integration of criticality assessments into the widely applied methodologies for development and implementation of resource efficiency innovations is a valuable addition and should be included in the analysis for sustainable innovations and development.     

基于赤水河流域生态补偿的政府和社会资本合作项目风险识别与分担

赤水河流域为生态脆弱区域,现行的流域生态补偿机制存在补偿资金来源单一、总量不足且持续性较差、补偿方式较为单一等问题。将政府和社会资本合作（Public-Private Partnership,PPP）模式应用于建立赤水河流域生态补偿机制,有助于拓宽补偿资金来源、增加资金总量、丰富补偿方式,推动各利益相关方收益共享、风险共担。与传统PPP项目相比,基于流域生态补偿的PPP项目具有更为复杂的风险结构,风险因素的正确识别和合理分担是成功运用PPP模式完善赤水河流域生态补偿机制的关键。识别基于赤水河流域生态补偿的PPP项目运作关键环节,甄别各环节面临的主要风险因素;基于云理论建立风险分担模型;将有关风险在政府和社会资本间进行分担。研究结果表明：（1）基于赤水河流域生态补偿的PPP项目运作过程共包括项目准备、项目实施和项目合同终结等三个阶段、共11个关键环节,各环节共面临26个主要风险因素。（2）分析了有关风险因素可能对赤水河流域生态补偿机制或PPP项目产生的不利影响,并指出了风险引致方。（3）在项目准备阶段,政府拥有绝对的资源优势,以政府为主承担主要风险;在项目实施阶段,项目风险总体上由政府承担为主向社会资本承担为主转移,80%的风险主要由社会资本承担;特许经营期满后,社会资本将项目的经营权（或所有权与经营权同时）向政府移交,在项目合同终结阶段,有关风险再次以政府承担为主。     

Genomic architecture of autism from comprehensive whole-genome sequence annotation

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宫颈病变患者阴道微生态与高危型HPV感染及宫颈癌相关增殖基因表达的相关性

目的探讨宫颈病变患者阴道微生态与高危型HPV感染及宫颈癌相关增殖基因表达的相关性。方法选择2018年1月至2019年1月间在我院确诊为原发性宫颈癌的患者50例作为宫颈癌组,在我院诊断为宫颈糜烂的患者78例作为宫颈糜烂组,同期在我院进行体检的健康女性100例作为正常对照组。对比3组研究对象的阴道微生态失调率、高危型HPV感染率以及宫颈癌组、宫颈糜烂组患者宫颈病灶组织中宫颈癌相关增殖基因(Prdx4、Nek2、Fhit、BLCAP)mRNA表达量的差异。采用Pearson检验分析宫颈癌患者阴道微生态失调率与高危型HPV感染及宫颈癌相关增殖基因表达的相关性。结果宫颈癌组、宫颈糜烂组患者的阴道微生态失调率、高危型HPV感染率高于正常对照组,其中宫颈癌组患者这两项指标水平高于宫颈糜烂组(均P0.05)。宫颈癌组患者宫颈病灶组织中Prdx4、Nek2 mRNA表达量高于宫颈糜烂组,Fhit、BLCAP mRNA表达量低于宫颈糜烂组(均P0.05)。相关性分析发现,宫颈癌患者阴道微生态失调率与高危型HPV感染率呈正相关,与癌基因(Prdx4、Nek2)mRNA表达量呈正相关,与抑癌基因(Fhit、BLCAP)mRNA表达量呈负相关(均P0.05)。结论宫颈癌患者阴道微生态失调率较高,可能与高危型HPV感染及癌细胞增殖旺盛密切相关。     

What best explains vigilance in elk: characteristics of prey, predators, or the environment?

We quantified the vigilance levels of elk (Cervus elaphus) preyedon by wolves (Canis lupus) in Yellowstone National Park, betweenJanuary and May in 2005 and 2006, and used Akaike's informationcriterion to compare a set of 38 regression models for vigilancelevels. These models combined up to 9 predictor variables of3 types: characteristics of the prey group (herd size and composition),characteristics of the predator (wolf pack size, distance away,and the presence/absence of a kill), and characteristics ofthe local environment (distance to woodland edges, snow depth,and snow cover). The set of models spanned a range of complexityfrom simple univariate models to complex combinations with upto 3 variables of each type. Complex models incorporating thecharacteristics of the wolf pack, the structure of the elk herd,and the environmental conditions had higher information contentthan simple models. Although univariate models of vigilancedetect significant relationships, they have low informationcontent relative to multivariate models. These results showthat elk assesses factors of several types when assessing riskand deciding how much time to allocate to vigilance. In particular,we found that all well-supported models of vigilance includedseveral "prey" variables and several "predator" variables. Thisresult highlights the need to consider information about predatorswhen trying to explain variation in vigilance levels in prey.