Genes and environment in arthritis: can RA be prevented?

Understanding of how interactions between genes and environment contribute to the development of arthritis is a central issue in understanding the etiology of rheumatoid arthritis (RA), as well as for eventual subsequent efforts to prevent the disease. In this paper, we review current published data on genes and environment in RA as well as in certain induced animal models of disease, mainly those in which adjuvants only or adjuvants plus organ-specific autoantigens are used to induce arthritis. We refer to some new data on environmental and genetic factors of importance for RA generated from a large case-control study in Sweden (1200 patients, 1200 matched controls). We found an increased risk of seropositive but not of seronegative RA in smokers, and there are indications that this effect may be due to a gene-environment interaction involving MHC class II genes. We also found an increased risk of RA in individuals heavily exposed to mineral oils. This was of particular interest because mineral oils are strong inducers of arthritis in certain rodent strains and because polymorphisms in human genetic regions syntenic with genes predisposing for oil-induced arthritis in rats have now been shown to associate with RA in humans. Taken together, our data support the notion that concepts and data on gene-environment interactions in arthritis can now be taken from induced animal models of arthritis to generate new etiological hypotheses for RA.     

Collagen-induced arthritis in common marmosets: a new nonhuman primate model for chronic arthritis

Introduction  

There is an ever-increasing need for animal models to evaluate efficacy and safety of new therapeutics in the field of rheumatoid arthritis (RA). Particularly for the early preclinical evaluation of human-specific biologicals targeting the progressive phase of the disease, there is a need for relevant animal models. In response to this requirement we set out to develop a model of collagen-induced arthritis (CIA) in a small-sized nonhuman primate species (300 to 400 g at adult age); that is, the common marmoset (Callithrix jacchus).     

Modeling Imatinib-Treated Chronic Myelogenous Leukemia: Reducing the Complexity of Agent-Based Models

We develop a model for describing the dynamics of imatinib-treated chronic myelogenous leukemia. Our model is based on replacing the recent agent-based model of Roeder et al. (Nat. Med. 12(10):1181–1184, 2006) by a system of deterministic difference equations. These difference equations describe the time-evolution of clusters of individual agents that are grouped by discretizing the state space. Hence, unlike standard agent-base models, the complexity of our model is independent of the number of agents, which allows to conduct simulation studies with a realistic number of cells. This approach also allows to directly evaluate the expected steady states of the system. The results of our numerical simulations show that our model replicates the averaged behavior of the original Roeder model with a significantly reduced computational cost. Our general approach can be used to simplify other similar agent-based models. In particular, due to the reduced computational complexity of our technique, one can use it to conduct sensitivity studies of the parameters in large agent-based systems.     

A general linear framework for the comparison and evaluation of models of sensorimotor synchronization

Sensorimotor synchronization (SMS), the temporal coordination of a rhythmic movement with an external rhythm, has been studied most often in tasks that require tapping along with a metronome. Models of SMS use information about the timing of preceding stimuli and responses to predict when the next response will be made. This article compares the theoretical structure and empirical predictions of four two-parameter models proposed in the literature: Michon (Timing in temporal tracking, Van Gorcum, Assen, 1967), Hary and Moore (Br J Math Stat Psychol 40:109–124, 1987b), Mates (Biol Cybern 70:463–473, 1994a; Biol Cybern 70:475–484, 1994b), and Schulze et al. (Mus Percept 22:461–467, 2005). By embedding these models within a general linear framework, the mathematical equivalence of the Michon, Hary and Moore, and Schulze et al. models is demonstrated. The Mates model, which differs from the other three, is then tested empirically with new data from a tapping experiment in which the metronome alternated between two tempi. The Mates model predictions are found to be invalid for about one-third of the trials, suggesting that at least one of the model’s underlying assumptions is incorrect. The other models cannot be refuted as easily, but they do not predict some features of the data very accurately. Comparison of the models’ predictions in a training/test procedure did not yield any significant differences. The general linear framework introduced here may help in the formulation of new models that make better predictions.     

Translating tissue culture results into animal models: the case of Salmonella typhimurium

Investigators use both in vitro and in vivo models to better understand infectious disease processes. Both models are extremely useful in research, but there exists a significant gap in complexity between the highly controlled reductionist in vitro systems and the largely undefined, but relevant variability encompassing in vivo animal models. In an effort to understand how Salmonella initiates disease at the intestinal epithelium, in vitro models have served a useful purpose in allowing investigators to identify molecular mechanisms responsible for Salmonella invasion of host cells and stimulation of host inflammatory responses. Identification of these molecular mechanisms has generated hypotheses that are now being tested using in vivo models. Translating the in vitro findings into the context of an animal model and subsequently to human disease remains a difficult challenge for any disease process.     

A Mass Action Model of a Fibroblast Growth Factor Signaling Pathway and Its Simplification

We consider a kinetic law of mass action model for Fibroblast Growth Factor (FGF) signaling, focusing on the induction of the RAS-MAP kinase pathway via GRB2 binding. Our biologically simple model suffers a combinatorial explosion in the number of differential equations required to simulate the system. In addition to numerically solving the full model, we show that it can be accurately simplified. This requires combining matched asymptotics, the quasi-steady state hypothesis, and the fact subsets of the equations decouple asymptotically. Both the full and simplified models reproduce the qualitative dynamics observed experimentally and in previous stochastic models. The simplified model also elucidates both the qualitative features of GRB2 binding and the complex relationship between SHP2 levels, the rate SHP2 induces dephosphorylation and levels of bound GRB2. In addition to providing insight into the important and redundant features of FGF signaling, such work further highlights the usefulness of numerous simplification techniques in the study of mass action models of signal transduction, as also illustrated recently by Borisov and co-workers (Borisov et al. in Biophys. J. 89, 951–966, 2005, Biosystems 83, 152–166, 2006; Kiyatkin et al. in J. Biol. Chem. 281, 19925–19938, 2006). These developments will facilitate the construction of tractable models of FGF signaling, incorporating further biological realism, such as spatial effects or realistic binding stoichiometries, despite a more severe combinatorial explosion associated with the latter.     

Animal models for Alzheimer's disease and frontotemporal dementia: a perspective

In dementia research, animal models have become indispensable tools. They not only model aspects of the human condition, but also simulate processes that occur in humans and hence provide insight into how disease is initiated and propagated. The present review discusses two prominent human neurodegenerative disorders, Alzheimer''s disease and frontotemporal dementia. It discusses what we would like to model in animals and highlights some of the more recent achievements using species as diverse as mice, fish, flies and worms. Advances in imaging and therapy are explored. We also discuss some anticipated new models and developments. These will reveal how key players in the pathogenesis of Alzheimer''s disease and frontotemporal dementia, such as the peptide Aβ (amyloid β) and the protein tau, cause neuronal dysfunction and eventually, neuronal demise. Understanding these processes fully will lead to early diagnosis and therapy.     

Measuring Fit of Sequence Data to Phylogenetic Model: Gain of Power Using Marginal Tests

Testing fit of data to model is fundamentally important to any science, but publications in the field of phylogenetics rarely do this. Such analyses discard fundamental aspects of science as prescribed by Karl Popper. Indeed, not without cause, Popper (Unended quest: an intellectual autobiography. Fontana, London, 1976) once argued that evolutionary biology was unscientific as its hypotheses were untestable. Here we trace developments in assessing fit from Penny et al. (Nature 297:197–200, 1982) to the present. We compare the general log-likelihood ratio (the G or G ² statistic) statistic between the evolutionary tree model and the multinomial model with that of marginalized tests applied to an alignment (using placental mammal coding sequence data). It is seen that the most general test does not reject the fit of data to model (P ~ 0.5), but the marginalized tests do. Tests on pairwise frequency (F) matrices, strongly (P < 0.001) reject the most general phylogenetic (GTR) models commonly in use. It is also clear (P < 0.01) that the sequences are not stationary in their nucleotide composition. Deviations from stationarity and homogeneity seem to be unevenly distributed amongst taxa; not necessarily those expected from examining other regions of the genome. By marginalizing the 4 ^t patterns of the i.i.d. model to observed and expected parsimony counts, that is, from constant sites, to singletons, to parsimony informative characters of a minimum possible length, then the likelihood ratio test regains power, and it too rejects the evolutionary model with P ≪ 0.001. Given such behavior over relatively recent evolutionary time, readers in general should maintain a healthy skepticism of results, as the scale of the systematic errors in published trees may really be far larger than the analytical methods (e.g., bootstrap) report.     

Development of proteoglycan-induced arthritis depends on T cell-supported autoantibody production,but does not involve significant influx of T cells into the joints

Introduction  

Inflammatory joint destruction in rheumatoid arthritis (RA) may be triggered by autoantibodies, the production of which is supported by autoreactive T cells. Studies on RA and animal models of the disease suggest that T cells recruited in the joints can locally initiate or propagate arthritis. Herein, we investigated the role of joint-homing versus lymphoid organ-homing T cells in the development of proteoglycan-induced arthritis (PGIA), an autoimmune model of RA.     

“What’s wrong with my monkey?” Ethical perspectives on germline transgenesis in marmosets

The birth of the first transgenic primate to have inherited a transgene from its parents opens the possibility to set up transgenic marmoset colonies, as these monkeys are small and relatively easy to keep and breed in research facilities. The prospect of transgenic marmoset models of human disease, readily available in the way that transgenic laboratory mice are currently, prompts excitement in the scientific community; but the idea of monkeys being bred to carry diseases is also contentious. We structure an ethical analysis of the transgenic marmoset case around three questions: whether it is acceptable to use animals as models of human disease; whether it is acceptable to genetically modify animals; and whether these animals’ being monkeys makes a difference. The analysis considers the prospect of transgenic marmoset studies coming to replace transgenic mouse studies and lesion studies in marmosets in some areas of research. The mainstream, broadly utilitarian view of animal research suggests that such a transition will not give rise to greater ethical problems than those presently faced. It can be argued that using marmosets rather than mice will not result in more animal suffering, and that the benefits of research will improve with a move to a species more similar in phylogenetic terms to humans. The biological and social proximity of monkeys and humans may also benefit the animals by making it easier for scientists and caretakers to recognize signs of suffering and increasing the human motivation to limit it. The animal welfare and research impacts of the transition to marmoset use will depend very much on the extent to which researchers take these issues seriously and seek to minimize animal harm and optimize human benefit.     

A PDE Model for Imatinib-Treated Chronic Myelogenous Leukemia

We derive a model for describing the dynamics of imatinib-treated chronic myelogenous leukemia (CML). This model is a continuous extension of the agent-based CML model of Roeder et al. (Nat. Med. 12(10), 1181–1184, 2006) and of its recent formulation as a system of difference equations (Kim et al. in Bull. Math. Biol. 70(3), 728–744, 2008). The new model is formulated as a system of partial differential equations that describe various stages of differentiation and maturation of normal hematopoietic cells and of leukemic cells. An imatinib treatment is also incorporated into the model. The simulations of the new PDE model are shown to qualitatively agree with the results that were obtained with the discrete-time (difference equation and agent-based) models. At the same time, for a quantitative agreement, it is necessary to adjust the values of certain parameters, such as the rates of imatinib-induced inhibition and degradation.     

Asymptotics of Conduction Velocity Restitution in Models of Electrical Excitation in the Heart

We extend a non-Tikhonov asymptotic embedding, proposed earlier, for calculation of conduction velocity restitution curves in ionic models of cardiac excitability. Conduction velocity restitution is the simplest non-trivial spatially extended problem in excitable media, and in the case of cardiac tissue it is an important tool for prediction of cardiac arrhythmias and fibrillation. An idealized conduction velocity restitution curve requires solving a non-linear eigenvalue problem with periodic boundary conditions, which in the cardiac case is very stiff and calls for the use of asymptotic methods. We compare asymptotics of restitution curves in four examples, two generic excitable media models, and two ionic cardiac models. The generic models include the classical FitzHugh–Nagumo model and its variation by Barkley. They are treated with standard singular perturbation techniques. The ionic models include a simplified “caricature” of Noble (J. Physiol. Lond. 160:317–352, 1962) model and Beeler and Reuter (J. Physiol. Lond. 268:177–210, 1977) model, which lead to non-Tikhonov problems where known asymptotic results do not apply. The Caricature Noble model is considered with particular care to demonstrate the well-posedness of the corresponding boundary-value problem. The developed method for calculation of conduction velocity restitution is then applied to the Beeler–Reuter model. We discuss new mathematical features appearing in cardiac ionic models and possible applications of the developed method.     

类风湿性关节炎啮齿动物模型的研究进展

类风湿性关节炎是一种常见的致残性疾病之一,病因未明。研究此类疾病的有效方法是建立、研究并应用动物模型。通过对目前国内外类风湿性关节炎模型复制方法、机制和应用的研究,分析各自的特点及不足之处,提出复制更加符合类风湿性关节炎临床特点的动物模型的展望与设想。     

Can Internalism and Externalism be Reconciled in a Biological Epistemology of Language?

This paper is an attempt at exploring the possibility of reconciling the two interpretations of biolinguistics which have been recently projected by Koster (Biolinguistics 3(1):61–92, 2009). The two interpretations—trivial and nontrivial—can be roughly construed as non-internalist and internalist conceptions of biolinguistics respectively. The internalist approach boils down to a conception of language where language as a mental grammar in the form of I-language grows and functions like a biological organ. On the other hand, under such a construal consistent with Koster’s (Biolinguistics 3(1):61-92, 2009), the non-internalist version does not necessarily have to be externalist in nature; rather it is a matter of mutual reinforcement of biology and culture under the rubric of a co-evolutionary dynamics. Here it will be argued that the apparent dichotomy between these two conceptions of biolinguistics can perhaps be resolved if we have a richer synthesis that accounts for both internalism and non-internalism.     

The (Un)managed Self: Paradoxical Forms of Agency in Self-Management of Bipolar Disorder

Self-management of mental illness is a therapeutic paradigm that draws on a distinctly biomedical conceptualization of the isolability of personhood from pathology. This discourse posits a stable and rational patient/consumer who can observe, anticipate, and preside over his disease through a set of learned practices. But in the case of bipolar disorder, where the rationality of the patient is called into question, the managing self is elusive, and the disease that is managed coincides with the self. While humanist critiques of the biomedical model as applied to mental illness have argued that its logic fatalistically denies patients intentionality and effectiveness (Luhrmann, Of Two Minds: The Growing Disorder in American Psychiatry, 2000), biomedical proponents claim that psychiatry’s way of envisioning the body as under the control of the intentional mind actually returns agency to the patient/consumer. Rose (The Psychiatric Gaze, 1999) remarks that biomedical models have the potential to “[open] that which was considered natural to a form of choice” (p. 37), and that techniques of medical self-control help constitute the free embodied liberal subject who is obliged to calculate and choose. Through an examination of clinical literature as well as the practices and narratives of members of a bipolar support group, this paper explores ethnographically the possibilities for subjectivity and agency that are conditioned or foreclosed by the self-management paradigm, which seems to simultaneously confer and deny rational selfhood to bipolar patients. To express their expertise as rational self-managers, patients/consumers must, paradoxically, articulate constant suspicion toward their present thoughts and emotions, and distrust of an imagined future self. I argue that through their self-management practices, bipolar support group members model provisional and distributed forms of agency based on an elusive, discontinuous, and only partially knowable or controllable self—revealing, perhaps, the limits of the contemporary reification and medicalization of both selfhood and disease.     

Morphological Characterisation of <Emphasis Type="Italic">Andrya</Emphasis> Railliet, 1893, <Emphasis Type="Italic">Neandrya</Emphasis> n. g. and <Emphasis Type="Italic">Paranoplocephala</Emphasis> Lühe, 1910 (Cestoda: Anoplocephalidae) in Rodents and Lagomorphs

The taxonomic significance of the main morphological features of the 25 species allocated to Andrya Railliet, 1893 and Paranoplocephala Lühe, 1910 is re-evaluated in the light of the recent molecular phylogenetic hypotheses for anoplocephaline cestodes. The present analysis and the existing phylogenetic data suggest that the structure and complexity of the early uterus are not, as previously assumed, the main phylogenetic or systematic determinants for anoplocephaline cestodes. Instead, the position of the early uterus with respect to other organs, combined with the morphology of the female genitalia, appear to allow a fairly straightforward discrimination of the three genera recognised here, without contradicting current phylogenetic hypotheses. A new genus, Neandrya n. g., is proposed for N. cuniculi (Blanchard, 1891) n. comb. (previously in Andrya), amended diagnoses are provided for Andrya and Paranoplocephala and a diagnostic key to these three genera is presented.     

Inclusion of cancer-associated fibroblasts in drug screening assays to evaluate pancreatic cancer resistance to therapeutic drugs

Pancreatic ductal adenocarcinoma (PDAC) is characterised by a pro-inflammatory stroma and multi-faceted microenvironment that promotes and maintains tumorigenesis. However, the models used to test new and emerging therapies for PDAC have not increased in complexity to keep pace with our understanding of the human disease. Promising therapies that pass pre-clinical testing often fail in pancreatic cancer clinical trials. The objective of this study was to investigate whether changes in the drug-dosing regimen or the addition of cancer-associated fibroblasts (CAFs) to current existing models can impact the efficacy of chemotherapy drugs used in the clinic. Here, we reveal that gemcitabine and paclitaxel markedly reduce the viability of pancreatic cell lines, but not CAFs, when cultured in 2D. Following the use of an in vitro drug pulsing experiment, PDAC cell lines showed sensitivity to gemcitabine and paclitaxel. However, CAFs were less sensitive to pulsing with gemcitabine compared to their response to paclitaxel. We also identify that a 3D co-culture model of MIA PaCa-2 or PANC-1 with CAFs showed an increased chemoresistance to gemcitabine when compared to standard 2D mono-cultures a difference to paclitaxel which showed no measurable difference between the 2D and 3D models, suggesting a complex interaction between the drug in study and the cell type used. Changes to standard 2D mono-culture-based assays and implementation of 3D co-culture assays lend complexity to established models and could provide tools for identifying therapies that will match clinically the success observed with in vitro models, thereby aiding in the discovery of novel therapies.

     

银屑病动物模型

银屑病是一种长期困扰人类的疾病,具有病程长、易复发、难治愈的特点,其病因及发病机制至今尚未完全清楚。银屑病动物模型的建立对揭示该病遗传背景、发病机制及开发新药等都有极大的促进作用。因此,国内外学者在该领域进行了大量的研究。本文就银屑病动物模型的研究状况作一综述。