实验用鱼类的水环境及其标准化

由于近年实验用鱼作为新兴模式动物在国内外生命科技界发展迅速,因此实验用鱼的标准化特别是对其水环境的标准化已经成为实验用鱼类研究发展的必然趋势。本文分析和综述了实验用鱼类所需的水源及供水要求、水质和水环境的技术指标特点和对鱼类的影响,以期为斑马鱼、剑尾鱼等水生动物的实验动物化研究提供必要的资料。     

Ecological validity of social interaction tests in rats and mice

Different rat and mouse models are used in studies of social interactions. Simple behavioral measures, which are commonly used in the laboratory, allow to perform relatively short experiments and to use multiple brain manipulation techniques. However, too much focus on the simplest behavioral models generates a serious risk of reducing ecological validity or even studying phenomena which would never happen outside of the laboratory. In this review, we discuss the suitability of mice and rats as model organisms for studying social behaviors, with focus on social transmission of fear paradigms. First, we briefly introduce the concept of domestication and what impact it had on laboratory rodents. Then, we present two aspects of social behaviors, sociability and dominance, which are crucial for social organization in these species. Finally, we present experimental models used for studying how animals transmit information about danger between each other, and how these models may reflect what happens in the natural environment. We discuss the difficulties that arise from our limited knowledge of rat and mouse ecology, especially their social life. We also explore the subject of balancing ecological validity and controllability in rodent models of social behaviors, the latter being particularly important for studying brain activity. Although it is very challenging, an efficient program for social neuroscience research should, in our opinion, aim at bridging the gap between laboratory and field studies.     

Assortative Mating and the Reversal of Gender Inequality in Education in Europe: An Agent-Based Model

While men have always received more education than women in the past, this gender imbalance in education has turned around in large parts of the world. In many countries, women now excel men in terms of participation and success in higher education. This implies that, for the first time in history, there are more highly educated women than men reaching the reproductive ages and looking for a partner. We develop an agent-based computational model that explicates the mechanisms that may have linked the reversal of gender inequality in education with observed changes in educational assortative mating. Our model builds on the notion that individuals search for spouses in a marriage market and evaluate potential candidates based on preferences. Based on insights from earlier research, we assume that men and women prefer partners with similar educational attainment and high earnings prospects, that women tend to prefer men who are somewhat older than themselves, and that men prefer women who are in their mid-twenties. We also incorporate the insight that the educational system structures meeting opportunities on the marriage market. We assess the explanatory power of our model with systematic computational experiments, in which we simulate marriage market dynamics in 12 European countries among individuals born between 1921 and 2012. In these experiments, we make use of realistic agent populations in terms of educational attainment and earnings prospects and validate model outcomes with data from the European Social Survey. We demonstrate that the observed changes in educational assortative mating can be explained without any change in male or female preferences. We argue that our model provides a useful computational laboratory to explore and quantify the implications of scenarios for the future.     

Flap models in the rat: a review and reappraisal.

The laboratory rat has long provided plastic surgical investigators a model to study many aspects of flap physiology. Clinical advances in reconstructive surgery have succeeded or preceded experimental work, setting the stage for further advances. We have critically reviewed all reports of flap models in the laboratory rat. This has begun with simple skin flaps designed on various areas of the body and continued with a review of free-tissue transfer models. Because of the multitude of as yet unanswered questions remaining, the laboratory rat will invariably continue to be widely used as an investigatory source in this area. This report should allow investigators to select more easily reliable, reproducible experimental models, and, one hopes, to streamline their investigative efforts.     

The changing role of the clinical laboratory in the investigation of polycystic ovarian syndrome

In this review we outline clinical features, presentation and pathogenesis of polycystic ovarian syndrome (PCOS), treatment objectives and therapeutic options. We focus on and outline the changing role of the clinical laboratory in diagnosis and treatment of this condition. We also review recent information on the involvement of insulin resistance in the syndrome. We provide some explanation for confusion over the selection of the best hormone measurements for diagnosis. Finally, we outline the best current and future laboratory support for this common condition in young women.     

The role of 20-HETE in androgen-mediated hypertension

Androgen plays an important role in blood pressure regulation. Epidemiological studies have shown that men have a higher prevalence for developing hypertension than aged-matched, premenopausal women. Interestingly, postmenopausal women and women with polycystic ovary syndrome, both of which have increased endogenous androgen production, have elevated risks for hypertension suggesting that androgen may contribute to its development. Studies from our laboratory and others have provided substantial evidence that 20-hydroxyeicosatetraenoic acid (20-HETE) mediates the hypertension seen in rodents treated with androgen. 20-HETE is the cytochrome P450 (CYP)-derived ω-hydroxylated metabolite of arachidonic acid. 20-HETE plays a complex role in blood pressure regulation. In the kidney tubules, 20-HETE decreases blood pressure by promoting natriuresis, while in the microvasculature it has a pressor effect. In the microcirculation, 20-HETE participates in the regulation of vascular tone by sensitizing the smooth muscle cells to constrictor stimuli and contributes to myogenic, mitogenic and angiogenic responses. In addition, 20-HETE acts on the endothelium to promote endothelial dysfunction and endothelial activation. Recently, we have demonstrated that 20-HETE induces endothelial ACE thus setting forth a potential feed forward mechanism through activation of the renin-angiotensin-aldosterone system. In this review, we will discuss the pro-hypertensive effects of 20-HETE and its role in androgen-induced vascular dysfunction and hypertension.     

Genetically engineered mice and their use in aging research

Genetically engineered animal models have been and will continue to be invaluable for exploring the basic mechanisms involved in the aging process as well as in extending our understanding of diseases found to be more prevalent in the older human population. Continued development of such in vivo systems will allow scientists to further dissect the role genetic and environmental factors play in aging and in age-related disease states and to enhance our understanding of these processes. In this article we discuss techniques involved in the development of such models and review some examples of laboratory mouse strains that have been used to study either normal aging or select diseases associated with aging.     

Isotopic ecology ten years after a call for more laboratory experiments

About 10 years ago, reviews of the use of stable isotopes in animal ecology predicted explosive growth in this field and called for laboratory experiments to provide a mechanistic foundation to this growth. They identified four major areas of inquiry: (1) the dynamics of isotopic incorporation, (2) mixing models, (3) the problem of routing, and (4) trophic discrimination factors. Because these areas remain central to isotopic ecology, we use them as organising foci to review the experimental results that isotopic ecologists have collected in the intervening 10 years since the call for laboratory experiments. We also review the models that have been built to explain and organise experimental results in these areas.     

Computational methods for prediction of T-cell epitopes--a framework for modelling, testing, and applications

Computational models complement laboratory experimentation for efficient identification of MHC-binding peptides and T-cell epitopes. Methods for prediction of MHC-binding peptides include binding motifs, quantitative matrices, artificial neural networks, hidden Markov models, and molecular modelling. Models derived by these methods have been successfully used for prediction of T-cell epitopes in cancer, autoimmunity, infectious disease, and allergy. For maximum benefit, the use of computer models must be treated as experiments analogous to standard laboratory procedures and performed according to strict standards. This requires careful selection of data for model building, and adequate testing and validation. A range of web-based databases and MHC-binding prediction programs are available. Although some available prediction programs for particular MHC alleles have reasonable accuracy, there is no guarantee that all models produce good quality predictions. In this article, we present and discuss a framework for modelling, testing, and applications of computational methods used in predictions of T-cell epitopes.     

Oxidative stress and diabetes: What can we learn about insulin resistance from antioxidant mutant mouse models?

The development of metabolic dysfunctions like diabetes and insulin resistance in mammals is regulated by a myriad of factors. Oxidative stress seems to play a central role in this process as recent evidence shows a general increase in oxidative damage and a decrease in oxidative defense associated with several metabolic diseases. These changes in oxidative stress can be directly correlated with increased fat accumulation, obesity, and consumption of high-calorie/high-fat diets. Modulation of oxidant protection through either genetic mutation or treatment with antioxidants can significantly alter oxidative stress resistance and accumulation of oxidative damage in laboratory rodents. Antioxidant mutant mice have previously been utilized to examine the role of oxidative stress in other disease models, but have been relatively unexplored as models to study the regulation of glucose metabolism. In this review, we will discuss the evidence for oxidative stress as a primary mechanism linking obesity and metabolic disorders and whether alteration of antioxidant status in laboratory rodents can significantly alter the development of insulin resistance or diabetes.     

Use of genetically modified mouse models for evaluation of carcinogenic risk: considerations for the laboratory animal scientist

There has been increasing interest in the use of selected genetically modified (GM) mouse models for the testing of chemicals to determine their carcinogenic potential. GM mouse models are believed to be useful tools that offer mechanistically relevant insights for understanding and predicting the human response to chemical exposure. They have been proposed as alternatives to the traditional 2-year mouse oncogenicity bioassay. In this overview we will review the GM mouse models that have been proposed as bioassay alternatives and present some of the key laboratory animal science challenges that need to be considered when using these unique animals.     

Synergistic effect of PARP inhibitor and BRD4 inhibitor in multiple models of ovarian cancer

Ovarian cancer has the highest facility rate among gynaecological tumours. Current therapies including PARP inhibitors have a defect that ovarian tumour is easy to recurrent and become resistant to therapy. To solve this problem, we found that BRD4 inhibitor AZD5153 and PARP inhibitor olaparib had a widespread synergistic effect in multiple models with different gene backgrounds. AZD5153 sensitizes cells to olaparib and reverses the acquired resistance by down-regulating PTEN expression levels to destabilize hereditary materials. In this study, we used the following multiple ovarian cancer models PDX, PDO and 3D/2D cell lines to elucidate the co-effect of AZD5153 and olaparib in vivo and in vitro. The similar results of these models further proved that the mechanism identified was consistent with the biological process occurring in ovarian cancer patients after drug treatment. This consistency between the results of different models suggests the possibility of translating these laboratory research findings into clinical studies towards developing treatments.     

Lipid signaling in embryo implantation

A reciprocal interaction between the implantation-competent blastocyst and the receptive uterus is required for successful implantation. Although various molecular pathways are known to participate in this cross-talk, a comprehensive understanding of the implantation process is still missing. Gene expression studies and genetically engineered mouse models have provided evidence that lipid mediators serve as important signaling molecules in coordinating the series of events during early pregnancy including preimplantation embryo formation and development, implantation and postimplantation growth. This review focuses on the roles of two groups of lipid mediators, prostaglandins (PGs) and endocannabinoids, during early pregnancy. Our laboratory has shown that while PGs generated by the cPLA2-cyclooxygenase (COX) system are essential to ovulation, fertilization, and implantation, endocannabinoids are important for synchronizing preimplantation embryo development with uterine receptivity for implantation. A better understanding of these molecular signaling pathways is hoped to generate new strategies to correct implantation failure and improve pregnancy rates in women.     

实验小鼠在癌症研究中的应用及其进展

小鼠是生物医学研究中使用数量最多的哺乳类实验动物。人类利用小鼠模型进行癌症研究已有100多年的历史,小鼠大量的遗传变异可作为研究人类癌症的借鉴。特别是近年来,培育成功的转基因、基因敲除等遗传工程小鼠模型,使我们对人类癌症发生有了深刻的认识,为评估癌症的诊断方法,革新预防和治疗方案提供了一个很有价值的平台。本文着重介绍了癌症研究中常用的小鼠模型、GEM模型及取得的最新进展等,分析了小鼠肿瘤模型的局限性,并对其发展趋势进行展望。     

Bio-Logic Builder: A Non-Technical Tool for Building Dynamical,Qualitative Models

Computational modeling of biological processes is a promising tool in biomedical research. While a large part of its potential lies in the ability to integrate it with laboratory research, modeling currently generally requires a high degree of training in mathematics and/or computer science. To help address this issue, we have developed a web-based tool, Bio-Logic Builder, that enables laboratory scientists to define mathematical representations (based on a discrete formalism) of biological regulatory mechanisms in a modular and non-technical fashion. As part of the user interface, generalized “bio-logic” modules have been defined to provide users with the building blocks for many biological processes. To build/modify computational models, experimentalists provide purely qualitative information about a particular regulatory mechanisms as is generally found in the laboratory. The Bio-Logic Builder subsequently converts the provided information into a mathematical representation described with Boolean expressions/rules. We used this tool to build a number of dynamical models, including a 130-protein large-scale model of signal transduction with over 800 interactions, influenza A replication cycle with 127 species and 200+ interactions, and mammalian and budding yeast cell cycles. We also show that any and all qualitative regulatory mechanisms can be built using this tool.     

The hydra effect in predator–prey models

The seemingly paradoxical increase of a species population size in response to an increase in its mortality rate has been observed in several continuous-time and discrete-time models. This phenomenon has been termed the “hydra effect”. In light of the fact that there is almost no empirical evidence yet for hydra effects in natural and laboratory populations, we address the question whether the examples that have been put forward are exceptions, or whether hydra effects are in fact a common feature of a wide range of models. We first propose a rigorous definition of the hydra effect in population models. Our results show that hydra effects typically occur in the well-known Gause-type models whenever the system dynamics are cyclic. We discuss the apparent discrepancy between the lack of hydra effects in natural populations and their occurrence in this standard class of predator–prey models.     

The effects of type of female circumcision on infertility and fertility in Sudan

This study explores the association between type of female circumcision and infertility and fertility in Sudan using the 1989-90 Demographic and Health Survey. It is hypothesized that women with either Pharaonic or Intermediate circumcision would have higher infertility and lower fertility compared with women with Sunna circumcision, and that uncircumcised women would have the lowest infertility and highest fertility of the three groups. This hypothesis, a widely held assumption, proved to be largely incorrect. Though women with Pharaonic or Intermediate circumcision did have a higher prevalence of primary infertility than uncircumcised women, women with Sunna circumcision had even lower rates of primary infertility compared with uncircumcised women. This pattern prevailed in multivariate models controlling for confounding variables, where women with Pharaonic or Intermediate circumcision had significantly higher primary infertility. Moreover, though women with Pharaonic or Intermediate circumcision also had the highest prevalence of secondary infertility, once confounding covariates were controlled in multivariate models, there was no significant difference among the three groups of women. With respect to fertility, the total fertility rate was 7.6 for women with Pharaonic or Intermediate circumcision, 8.1 for women with Sunna circumcision and 8.3 for uncircumcised women. Differences in fertility were found to be insignificant when covariates were controlled. The multivariate models were estimated using logistic regression. In conclusion, Pharaonic or Intermediate circumcision may be associated with higher primary infertility while there was no evidence suggesting that either secondary infertility or fertility was associated with a woman's circumcision status.     

北京地区实验树晌的饲养管理方法

树鼩作为低等灵长类动物,在生物学研究中的价值日益引起研究者重视,将其作为实验动物的实验需求越来越多。作为南方亚热带动物,树嗣如何适应北方地区的生活是北方地区将其用作实验动物的前提。本实验室探索出适宜树购居住的饲养笼具,确定了饲养环境温度、湿度、光照时间、噪声及通风等条件,制定了规范化的卫生管理标准,建立了北京地区长期人工培育树晌的饲养管理方法,为今后利用树嗣进行中医药病证结合动物模型的研究奠定了基础。     

The development, application and limitations of breast cancer cell lines to study tamoxifen and aromatase inhibitor resistance

Estrogen plays important roles in hormone receptor-positive breast cancer. Endocrine therapies, such as the antiestrogen tamoxifen, antagonize the binding of estrogen to estrogen receptor (ER), whereas aromatase inhibitors (AIs) directly inhibit the production of estrogen. Understanding the mechanisms of endocrine resistance and the ways in which we may better treat these types of resistance has been aided by the development of cellular models for resistant breast cancers. In this review, we will discuss what is known thus far regarding both de novo and acquired resistance to tamoxifen or AIs. Our laboratory has generated a collection of AI- and tamoxifen-resistant cell lines in order to comprehensively study the individual types of resistance mechanisms. Through the use of microarray analysis, we have determined that our cell lines resistant to a particular AI (anastrozole, letrozole, or exemestane) or tamoxifen are distinct from each other, indicating that these mechanisms can be quite complex. Furthermore, we will describe two novel de novo AI-resistant cell lines that were generated from our laboratory. Initial characterization of these cells reveals that they are distinct from our acquired AI-resistant cell models. In addition, we will review potential therapies which may be useful for overcoming resistant breast cancers through studies using endocrine resistant cell lines. Finally, we will discuss the benefits and shortcomings of cell models. Together, the information presented in this review will provide us a better understanding of acquired and de novo resistance to tamoxifen and AI therapies, the use of appropriate cell models to better study these types of breast cancer, which are valuable for identifying novel treatments and strategies for overcoming both tamoxifen and AI-resistant breast cancers.     

The influence of varying spatial heterogeneity on the refuge model for coexistence of specialist parasitoid assemblages

Models of host–parasitoid dynamics often assume constant levels of spatial heterogeneity in parasitoid attack rate, which tends to stabilize the interactions. Recently, authors have questioned this assumption and shown that outcomes of simple host–parasitoid models change if spatial heterogeneity is allowed to vary with parasitoid density. Here, we allow spatial heterogeneity to vary with either parasitoid density or percent parasitism in a model designed to explain specialist parasitoid coexistence on insect hosts with various levels of refuge. By examining this model we can evaluate the effect of varying spatial heterogeneity on a more complex model in which spatial heterogeneity is not considered the primary determinant of persistence. By modeling communities with one host and two parasitoid species, we show that the probability of species persistence for the competitively inferior parasitoid depends on the assumed relationship between spatial heterogeneity and both parasitoid density and percent parasitism. The probability of parasitoid coexistence is generally lower when spatial heterogeneity varies with parasitoid demographics. We conclude that the conditions for which host refuge promote specialist parasitoid coexistence are less common that proposed by the original model. Finally, we compared a model in which spatial heterogeneity varies with percent parasitism to data from laboratory trials and find a reasonable fit. We conclude that the change in spatial heterogeneity strongly influenced the outcome of the laboratory trials, and we suggest more research is necessary before researchers can assume constant spatial heterogeneity in future models.