Production of mitochondrial DNA transgenic mice using zygotes

Several animal models of human disease, which have been developed by random or targeted modifications of genomic DNA sequences, have furthered our understanding of pathogenesis and the development of therapeutics. However, these models have not facilitated studies on mitochondrial diseases, since modifications to mitochondrial DNA (mtDNA) sequences are not possible using current recombination techniques. Consequently, information on human mitochondrial diseases is relatively sparse, and issues related to mitochondrial pathogenesis and inheritance remain unresolved. Recently, we reported the development of a new technique to generate mice carrying mutant mtDNA from a mouse cell line. In this report, we describe our techniques in detail, with emphasis on the preparation of donor cytoplasts and the micromanipulative procedures for electrofusion of cytoplasts and recipient zygotes. These steps are critically important for the successful introduction of exogenous mtDNA into embryos, and thereby into animals, so that the mutant mtDNA is efficiently propagated in subsequent generations.     

Update on animal models of diabetic retinopathy: from molecular approaches to mice and higher mammals

Diabetic retinopathy (DR) is the most common microvascular complication of diabetes and one of the major causes of blindness worldwide. The pathogenesis of DR has been investigated using several animal models of diabetes. These models have been generated by pharmacological induction, feeding a galactose diet, and spontaneously by selective inbreeding or genetic modification. Among the available animal models, rodents have been studied most extensively owing to their short generation time and the inherited hyperglycemia and/or obesity that affect certain strains. In particular, mice have proven useful for studying DR and evaluating novel therapies because of their amenability to genetic manipulation. Mouse models suitable for replicating the early, non-proliferative stages of the retinopathy have been characterized, but no animal model has yet been found to demonstrate all of the vascular and neural complications that are associated with the advanced, proliferative stages of DR that occur in humans. In this review, we summarize commonly used animal models of DR, and briefly outline the in vivo imaging techniques used for characterization of DR in these models. Through highlighting the ocular pathological findings, clinical implications, advantages and disadvantages of these models, we provide essential information for planning experimental studies of DR that will lead to new strategies for its prevention and treatment.     

Characterization of experimental equine glanders

Considerable advances in understanding of the disease caused by Burkholderia mallei have been made employing a combination of tools including genetic techniques and animal infection models. The development of small animal models has allowed us to assess the role of a number of putative virulence determinants in the pathogenesis of disease due to B. mallei. Due to the difficulties in performing active immunization studies in small animals, and due to the fact that the horse is the target mammalian species for glanders, we have initiated experimental studies on glanders in horses. Intratracheal deposition of B. mallei produced clinical glanders with organisms being recovered from tissues of infected horses. The model should prove to be of considerable value in our ongoing studies on the pathogenesis and vaccine development for glanders.     

Lessons from experimental Mycobacterium tuberculosis infections

Mycobacterium tuberculosis is the cause of enormous human morbidity and mortality each year. Although this bacterium can infect and cause disease in many animals, humans are the natural host. For the purposes of studying the pathogenesis of M. tuberculosis, as well as the protective and immunopathologic host responses against this pathogen, suitable animal models must be used. However, modeling the human infection and disease in animals can be difficult, and interpreting the data from animal models must be done carefully. In this paper, the animal models of tuberculosis are discussed, as well as the limitations and advantages of various models. In particular, the lessons we have learned about tuberculosis from the mouse models are highlighted. The careful and thoughtful use of animal models is essential to furthering our understanding of M. tuberculosis, and this knowledge will enhance the discovery of improved treatment and prevention strategies.     

Diabetic retinopathy: recent advances towards understanding neurodegeneration and vision loss

Diabetic retinopathy(DR) is one of the most common retinal diseases world-wide. It has a complex pathology that involves the vasculature of the inner retina and breakdown of the blood-retinal barrier. Extensive research has determined that DR is not only a vascular disease but also has a neurodegenerative component and that essentially all types of cells in the retina are affected, leading to chronic loss of visual function. A great deal of work using animal models of DR has established the loss of neurons and pathology of other cell types, including supporting glial cells. There has also been an increased emphasis on measuring retinal function in the models, as well as further validation and extension of the animal studies by clinical and translational research. This article will attempt to summarize the more recent developments in research towards understanding the complexities of retinal neurodegeneration and functional vision loss in DR.     

Plant models for animal pathogenesis

Several bacteria that are pathogenic to animals also infect plants. Mechanistic studies have proven that some human/animal pathogenic bacteria employ a similar subset of virulence determinants to elicit disease in animals, invertebrates and plants. Therefore, the results of plant infection studies are relevant to animal pathogenesis. This discovery has resulted in the development of convenient, cost-effective, and reliable plant infection models to study the molecular basis of infection by animal pathogens. Plant infection models provide a number of advantages in the study of animal pathogenesis. Using a plant model, mutations in animal pathogenic bacteria can easily be screened for putative virulence factors, a process which if done using existing animal infection models would be time-consuming and tedious. High-throughput screening of plants also provides the potential for unravelling the mechanisms by which plants resist animal pathogenic bacteria, and provides a means to discover novel therapeutic agents such as antibiotics and anti-infective compounds. In this review, we describe the developing technique of using plants as a model system to study Pseudomonas aeruginosa, Enterococcus faecalis and Staphylococcus aureus pathogenesis, and discuss ways to use this new technology against disease warfare and other types of bioterrorism.     

A novel preclinical model for rheumatoid arthritis research

Based on increasing knowledge on the pathogenesis of rheumatoid arthritis (RA), more and more potential therapeutics have been developed. To evaluate their therapeutic efficacy, safety and toxicity, appropriate animal models are required. Although rodent models of RA have been extensively used for preclinical evaluation, the differences between rodents and humans limit their usability for some species-specific therapeutics. Therefore, autoimmune arthritis developed in a non-human primate with essential hallmarks of RA will be an alternative model for preclinical studies.     

HBV转基因小鼠--乙型肝炎研究的重要工具

HBV感染具有严格的种属特异性和组织亲嗜性,所以可用于研究的动物模型很少。随着转基因技术的出现和发展,人们通过研制转基因动物模型来研究病毒致病机理。把HBV的DNA或其片段转入小鼠受精卵建立起来的HBV转基因小鼠,已被广泛地应用于乙型肝炎的研究中,主要体现在以下3个方面：研究HBV的致病机制、与肝细胞癌的关系及寻找、评价治疗乙肝的方法。     

Semantic region of interest and species classification in the deep neural network feature domain

In this paper, we focus on animal object detection and species classification in camera-trap images collected in highly cluttered natural scenes. Using a deep neural network (DNN) model training for animal- background image classification, we analyze the input camera-trap images to generate a multi-level visual representation of the input image. We detect semantic regions of interest for animals from this representation using k-mean clustering and graph cut in the DNN feature domain. These animal regions are then classified into animal species using multi-class deep neural network model. According the experimental results, our method achieves 99.75% accuracy for classifying animals and background and 90.89% accuracy for classifying 26 animal species on the Snapshot Serengeti dataset, outperforming existing image classification methods.     

Influence of species differences on the neuropathology of transgenic Huntington's disease animal models

Transgenic animal models have revealed much about the pathogenesis of age-dependent neurodegenerative diseases and proved to be a useful tool for uncovering therapeutic targets.Huntington's disease is ...     

Light deprivation-related changes of strategy selection in the radial arm maze

During the early postnatal age environmental signals underlie the development of sensory systems. The visual system is considered as an appropriate system to evaluate role of sensory experience in postnatal development of sensory systems. This study was made to assess the effect of visual deprivation on strategy of arm selection in navigation of radial arm maze. Six-week-old light- (LR, control) and dark-reared (DR) rats were trained for correct choices and adjacent arms tasks. Our results showed that both the LR and DR animals equally selected correct arms. In the adjacent arms task, however, the control group significantly outperformed the DR animals. While the LR males and females displayed some differences in performing the tasks, no sex dependency was found in the performance of the DR group. These findings indicate that the lack of visual experience is likely to influence the strategy selection as well as sex differences. Thus the difference in the performance of LR and DR animals seems to be due to the male rather than female behavior.     

RNAi and microRNAs: from animal models to disease therapy

The discovery of the phenomenon of RNA interference (RNAi) and its existence in mammals quickly suggested a great potential for use in disease therapy. Rapid advances have been made in the development of RNAi-based technologies and promising results have been obtained from studies on mammalian cell culture systems and animal in vivo models. However, the progress in our understanding of the RNAi pathway and the related function of microRNAs (miRNAs) have also raised concerns regarding various types of side effects that may restrict the use of this technology in human therapy. At the same time, our new knowledge about the functional roles of miRNAs as regulators of many cellular processes, including proliferation, differentiation, development, and neuronal function, is revolutionizing cell biology and will have a major impact on medical research. In this review, we focus on the discoveries that have been made in animal models and how this insight can be translated to human medicine and disease therapy. In this connection, we will particularly discuss the challenges associated with the efforts to develop RNAi-based therapeutics.     

阿尔茨海默病转基因小鼠的特点和应用

建立动物模型的目的是在实验动物身上复制人类疾病的模型,用于研究人类疾病的病因、发病、病理变化以及疾病的预防和治疗。目前尚无理想的阿尔茨海默病（Alzheimer’s disease,AD）动物模型,AD实验动物模型的滞后在很大程度上制约了AD治疗药物的筛选。随着AD病因和发病机制研究的不断深入,更完善的AD动物模型也在陆续出现。近年来出现的转基因动物模型属于AD的病因模型,但也不能完整复制出AD的所有特征。最大的缺憾在于缺乏神经原纤维缠结（neurofibrillary tangles,NFTs）和在某些转基因模型中（尤其是单转基因模型）无广泛的神经元丢失。虽然用免疫组化方法检测到tau蛋白,但从未发现成对螺旋纤丝（paired helical filaments,PHF）。     

空肠弯曲菌感染动物模型的研究进展

空肠弯曲菌是一种全球关注的人兽共患病原菌,感染后可引起人和动物多种疾病。动物模型是开展致病机理、疫苗评价和药物开发等研究的基础。空肠弯曲菌由于培养条件苛刻以及感染实验动物的疾病相似性、经济性和重复性等因素,仍缺乏良好的感染动物模型,其致病机理迄今尚不清楚。本文对已报道的空肠弯曲菌感染实验动物模型进行综述。     

Bayesian inference for identifying interaction rules in moving animal groups

The emergence of similar collective patterns from different self-propelled particle models of animal groups points to a restricted set of "universal" classes for these patterns. While universality is interesting, it is often the fine details of animal interactions that are of biological importance. Universality thus presents a challenge to inferring such interactions from macroscopic group dynamics since these can be consistent with many underlying interaction models. We present a Bayesian framework for learning animal interaction rules from fine scale recordings of animal movements in swarms. We apply these techniques to the inverse problem of inferring interaction rules from simulation models, showing that parameters can often be inferred from a small number of observations. Our methodology allows us to quantify our confidence in parameter fitting. For example, we show that attraction and alignment terms can be reliably estimated when animals are milling in a torus shape, while interaction radius cannot be reliably measured in such a situation. We assess the importance of rate of data collection and show how to test different models, such as topological and metric neighbourhood models. Taken together our results both inform the design of experiments on animal interactions and suggest how these data should be best analysed.     

SARS Research in China

SARS Research in China     

Colour spaces in ecology and evolutionary biology

The recognition that animals sense the world in a different way than we do has unlocked important lines of research in ecology and evolutionary biology. In practice, the subjective study of natural stimuli has been permitted by perceptual spaces, which are graphical models of how stimuli are perceived by a given animal. Because colour vision is arguably the best‐known sensory modality in most animals, a diversity of colour spaces are now available to visual ecologists, ranging from generalist and basic models allowing rough but robust predictions on colour perception, to species‐specific, more complex models giving accurate but context‐dependent predictions. Selecting among these models is most often influenced by historical contingencies that have associated models to specific questions and organisms; however, these associations are not always optimal. The aim of this review is to provide visual ecologists with a critical perspective on how models of colour space are built, how well they perform and where their main limitations are with regard to their most frequent uses in ecology and evolutionary biology. We propose a classification of models based on their complexity, defined as whether and how they model the mechanisms of chromatic adaptation and receptor opponency, the nonlinear association between the stimulus and its perception, and whether or not models have been fitted to experimental data. Then, we review the effect of modelling these mechanisms on predictions of colour detection and discrimination, colour conspicuousness, colour diversity and diversification, and for comparing the perception of colour traits between distinct perceivers. While a few rules emerge (e.g. opponent log–linear models should be preferred when analysing very distinct colours), in general model parameters still have poorly known effects. Colour spaces have nonetheless permitted significant advances in ecology and evolutionary biology, and more progress is expected if ecologists compare results between models and perform behavioural experiments more routinely. Such an approach would further contribute to a better understanding of colour vision and its links to the behavioural ecology of animals. While visual ecology is essentially a transfer of knowledge from visual sciences to evolutionary ecology, we hope that the discipline will benefit both fields more evenly in the future.     

子宫内膜异位症动物模型研究进展

为更好的把动物模型应用于子宫内膜异位症的病因、发病机制及治疗等方面的研究,本文将对子宫内膜异位症实验动物的选择、传统动物模型、新型特殊动物模型的构建方法及优缺点进行综述,以期为子宫内膜异位症疾病动物模型的研究提供参考。     

Animal models for the mechanistic study of systemic lymphangiomatosis

The systematic study of focused animal models has produced an explosion of information regarding the mechanisms governing lymphatic development and the diseases associated with lymphatic dysfunction. Nevertheless, the pathogenesis of systemic lymphangiomatosis has, thus far, eluded mechanistic comprehension. In this review, recent molecular advances in lymphatic vascular development are considered within the context of the animal models that have produced evolving insights. The emerging role of the zebrafish within lymphatic investigation is discussed. Specific models of the human disease pathology are considered in detail. While much has been learned about the molecular framework that surrounds normal lymphatic vascular development, the defect responsible for systemic lymphangiomatosis remains elusive. Development of more robust, recapitulative models will also be invaluable to investigate new and emerging therapeutics for the often devastating disease of systemic lymphangiomatosis.     

运用系统论原理复制人类疾病动物模型

依据系统论的基本原理,人类疾病动物模型采用整体设计,统筹考虑模型与实验动物生物学特性方面的相似性、模型复制的重复性、可靠性、适用性、可控性、易行性和经济性等,以便模型复制的顺利开展。整体性原则应贯穿整个模型复制过程,使复制的模型具有科学性和实用性。模型复制要落实系统论的相关性原则,一个模型不是孤立的,动物的各系统、各器官、各分子之间是相互联系,人类和动物在生物学、解剖学、组织学、胚胎学、生理学、病理学等方面的相互联系,疾病的发生、发展是相互联系的,相关性原则为动物模型研究人类疾病提供了理论依据。动物模型在时间和空间上处于不断运动变化发展之中,在研究模型的过程中,要用动态的方法而不是静止的方法来研究动物模型,应根据疾病的特点,分成不同的阶段,结合动物的免疫功能、营养状况、疾病的发展、转归等采用不同的对策。模型的复制采用最优化原则,要求模型设计最优化,选用高质量的实验动物,减少动物使用数量,保护动物福利与伦理,最终实现模型评价体系的最优化。