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Criteria for development of animal models of diseases of the respiratory system: the comparative approach in respiratory disease model development.

Advances in the understanding of human respiratory disease can come from careful clinical studies of the diseases as they occur in man, but such studies are naturally limited in terms of experimental manipulation. In the last 2 decades, an increasingly complex plethora of experimental respiratory disease models has been developed and utilized by investigators, but relatively less attention has been paid to the naturally occurring pulmonary diseases of animals as potential models. This paper is aimed at presenting selected examples of spontaneous pulmonary disease in animals that may serve as exploitable models for human chronic bronchitis, bronchiectasis, emphysema, interstitial lung disease, hypersensitivity pneumonitis, hyaline membrane disease, and bronchial asthma. Chronic bronchitis in dogs is characterized by chronic cough, excessive mucus production, and chronic inflammatory changes in bronchial walls. The disease affects mainly smaller-breed dogs of middle age or older. Equine chronic bronchitis tends to be a small airway disease with marked goblet cell proliferation and excessive mucus production, which may be accompanied by alveolar emphysema. Many animals develop bronchiectasis or bronchiolitis obliterans secondary to chronic suppurative bronchopneumonia, but chronic respiratory disease (CRD) of rats may be the most useful model of bronchiectasis. Models for emphysema must include actual alveolar destruction and ideally should be accompanied by appropriate pathophysiologic decrements. Many animals occasionally develop emphysema, but the disease has not been well documented, except possibly in horses. The interstitial lung diseases of man represent a complicated and poorly understood group of entities and near-entities. The same is true for animals, although interstitial lung disease in animals is much less common than bronchopneumonia. Cattle seem prone to develop interstitial lesions. Proliferative interstitial pneumonia of cattle includes many morphologic similarities to the spectrum of human interstitial pneumonitides. Fibrosing alveolitis of cattle is a morphologic end point that may have its origins in different forms of interstitial injury. Hypersensitivity pneumonitis has been best detailed in cattle and in horses and is clinically, etiologically, immunologically, and morphologically similar to the disease in man. Hyaline membrane disease has been poorly documented in animals, with the possible exception of the neonatal respiratory distress syndromes of foals and piglets. Bronchial asthma is similarly not well established as a spontaneous disease in animals, although experimental models exist. Eosinophilic bronchiolitis of cattle may represent a useful asthma model but has been poorly detailed. In order to make them useful as models, more attention should be paid to detailing the clinical, morphologic, and etiologic aspects of these naturally occurring animal pulmonary diseases.

Animals↗

Disease model: Parkinson's disease.

Parkinson's disease (PD) is a progressive neurodegenerative disorder that is primarily characterized by the degeneration of dopaminergic neurons in the nigrostriatal pathway. The pathology of PD is typified by the presence of cytoplasmic inclusions (Lewy bodies) containing alpha-synuclein and ubiquitin. The pathogenesis of PD is not completely understood but environmental and genetic factors are thought to play important roles. To understand the pathophysiology of PD, and to develop novel therapies for improved symptomatic management, it is important to have relevant disease models. In this review, we summarize the available in vivo and in vitro models of PD and discuss their value.

Animals↗

Transgenic animals in inflammatory disease models.

Inflammatory diseases affect a significant portion of the population worldwide and have been intensely studied for several decades. The advent of transgenic technology has allowed researchers to study individual gene contributions to the pathogenesis of these diseases. This has been done using standard inflammatory disease models in transgenic animals and by identifying novel models through the spontaneous generation of disease in the transgenic animal. Recent advances have been made in the understanding of rheumatoid arthritis, pulmonary inflammation, multiple sclerosis and inflammatory bowel disease through the use of transgenic animals in models of human inflammatory disease.

Animals↗

Postmodernism and clinical practice: a critical analysis of the disease model.

The disease model attempts to explain a variety of phenomena ranging from mental illness to criminal behavior. This approach is grounded in the Western philosophical tradition of dualism. The limitations of the disease model are analyzed through a postmodern perspective. Socially sensitive strategies for clinical intervention are offered.

Adaptation, Psychological↗

Severe combined immunodeficiency. A model disease for molecular immunology and therapy.

Severe combined immunodeficiencies (SCIDs) consist of genetically determined arrest of T-cell differentiation. Ten different molecular defects have now been identified, which all lead to early death in the absence of therapy. Transplantation of allogeneic hematopoietic stem cells (HSCT) can restore T-cell development, thus saving the lives of SCID patients. In this review, the different characteristics of HSCT are discussed along with the available data regarding the long-term outcome. Transient thymopoiesis caused by an exhaustion of donor progenitor cells and possibly a progressive loss of thymus function can lead to a progressive decline in T-cell functions. The preliminary results of gene therapy show the correction of two SCID conditions. Based on the assumption that long-lasting pluripotent progenitor cells are transduced, these data suggest that gene therapy could overcome the long-term recurrence of the T-cell immunodeficiency. SCID is thus a disease model for experimental therapy in the hematopoietic system.

Genetic Therapy↗

[Disease modelling in diabetes mellitus].

Disease modelling increasingly plays an important role in planning and implementing medical decision making in diabetes care. For a general practitioner it is difficult to find access to application, benefit, arithmetic background and quality criteria of modelling. This review provides a comprehensive overview about the current methods in disease modelling in order to access quality criteria for disease modelling and modelling studies in diabetes care. The following criteria are essential for good quality in disease modelling: adequate choice of data sources, assessment of medical and economic data according to criteria of evidence-based medicine, reasonable time horizons, realistic use of discounting and inflation rates, representative target populations and a realistic perspective of the cost-benefit analysis. Furthermore, validation of disease models and the adequate use of those instruments are of importance.

Computer Simulation↗

Selective elimination of glutamatergic synapses on striatopallidal neurons in Parkinson disease models.

Parkinson disease is a common neurodegenerative disorder that leads to difficulty in effectively translating thought into action. Although it is known that dopaminergic neurons that innervate the striatum die in Parkinson disease, it is not clear how this loss leads to symptoms. Recent work has implicated striatopallidal medium spiny neurons (MSNs) in this process, but how and precisely why these neurons change is not clear. Using multiphoton imaging, we show that dopamine depletion leads to a rapid and profound loss of spines and glutamatergic synapses on striatopallidal MSNs but not on neighboring striatonigral MSNs. This loss of connectivity is triggered by a new mechanism-dysregulation of intraspine Cav1.3 L-type Ca(2+) channels. The disconnection of striatopallidal neurons from motor command structures is likely to be a key step in the emergence of pathological activity that is responsible for symptoms in Parkinson disease.

Animals↗

Elevation of Hook1 in a disease model of Batten disease does not affect a novel interaction between Ankyrin G and Hook1.

Hook1 is a member of a family of microtubule-binding proteins. Studies on the Drosophila homolog of Hook1 have suggested a role in the maturation and trafficking of internalized proteins to the late endosome. A weak interaction between Hook1 and the lysosomal/late endosomal protein, CLN3, was recently reported. Mutations in CLN3 result in the neurological disorder Batten disease. Here we show a novel interaction between Hook1 and Ankyrin G, an adaptor protein that binds the spectrin-actin cytoskeleton and targets proteins to the peripheral membrane. Although we demonstrate co-localization of Hook1 and Ankyrin G, Hook1 also localizes to additional regions of the cell devoid of Ankyrin G where it likely interacts with other proteins. There is no disruption of the Hook1-Ankyrin G interaction or localization in tissue derived from a Cln3-knockout mouse despite a nearly threefold increase in the expression of Hook1. However, mutation of CLN3 could lead to alterations in the functioning and positioning of organelles and membrane proteins through this Hook1-Ankyrin G interaction.

Animals↗

Strategies to optimize the validity of disease models in the drug discovery process.

Models of human diseases are necessary for experimental research into the biological basis of disease and for the development of treatments. They have an enormous impact upon the success of biomedical research. However, in spite of this, a consistent system for evaluating, expressing and comparing the clinical validity of disease models is not available. The purpose of this paper is, therefore, to provide a theoretical discussion of the concepts behind disease models and to develop a terminology and a framework to analyze and express the clinical validity of disease models.

Animals↗

Metabolic correction in microglia derived from Sandhoff disease model mice.

Sandhoff disease is an autosomal recessive lysosomal storage disease caused by a defect of the beta-subunit gene (HEXB) associated with simultaneous deficiencies of beta-hexosaminidase A (HexA; alphabeta) and B (HexB; betabeta), and excessive accumulation of GM2 ganglioside (GM2) and oligosaccharides with N-acetylglucosamine (GlcNAc) residues at their non-reducing termini. Recent studies have shown the involvement of microglial activation in neuroinflammation and neurodegeneration of this disease. We isolated primary microglial cells from the neonatal brains of Sandhoff disease model mice (SD mice) produced by disruption of the murine Hex beta-subunit gene allele (Hexb-/-). The cells expressed microglial cell-specific ionized calcium binding adaptor molecule 1 (Iba1)-immunoreactivity (IR) and antigen recognized by Ricinus communis agglutinin lectin-120 (RCA120), but not glial fibrillary acidic protein (GFAP)-IR specific for astrocytes. They also demonstrated significant intracellular accumulation of GM2 and GlcNAc-oligosaccharides. We produced a lentiviral vector encoding for the murine Hex beta-subunit and transduced it into the microglia from SD mice with the recombinant lentivirus, causing elimination of the intracellularly accumulated GM2 and GlcNAc-oligosaccharides and secretion of Hex isozyme activities from the transduced SD microglial cells. Recomibinant HexA isozyme isolated from the conditioned medium of a Chinese hamster ovary (CHO) cell line simultaneously expressing the human HEXA (alpha-subunit) and HEXB genes was also found to be incorporated into the SD microglia via cell surface cation-independent mannose 6-phosphate receptor and mannose receptor to degrade the intracellularly accumulated GM2 and GlcNAc-oligosaccharides. These results suggest the therapeutic potential of recombinant lentivirus encoding the murine Hex beta-subunit and the human HexA isozyme (alphabeta heterodimer) for metabolic cross-correction in microglial cells involved in progressive neurodegeneration in SD mice.

Animals↗

Pairwise linkage disequilibrium under disease models.

Many genetic studies of disease association rely heavily on linkage disequilibrium (LD) patterns between pairs of markers to detect susceptibility markers. This is true of large-scale positional mapping approaches as well as haplotype construction, selection of tagging single-nucleotide polymorphisms and population genetic analyses. Whereas the distribution of different LD measures has been investigated for randomly selected chromosomes from populations undergoing a variety of demographic effects, little is known about LD within disease-affected samples, and how various disease models influence the difference in LD between patients and the general population. As whole-genome efforts are now underway to characterize and utilize LD patterns in randomly sampled individuals, knowledge about the extent that LD differs between patients and the general population becomes crucial. Such information will allow investigators to design improved mapping experiments and better understand haplotype information arising from such experiments. In this paper, we explore two-site LD measures in the context of single gene disease models. Analytic expressions are presented for infinite populations and properties of sampling densities are reported for different disease models. Interestingly, results indicate that 'underdominant', some dominant, recessive and 'protective' disease models generate weaker LD levels in patients compared to the general population, whereas other models produce stronger LD among affected individuals. Analytic results are also presented for the ratio of LD in patients to the LD in the general population as a function of recombination fraction using a Haldane model. In addition, we explore the impact of various allele frequency combinations on LD differences.

Genetic Predisposition to Disease↗

Integrated defense system overlaps as a disease model: with examples for multiple chemical sensitivity.

The central nervous, immune, and endocrine systems communicate through multiple common messengers. Over evolutionary time, what may be termed integrated defense system(s) (IDS) have developed to coordinate these communications for specific contexts; these include the stress response, acute-phase response, nonspecific immune response, immune response to antigen, kindling, tolerance, time-dependent sensitization, neurogenic switching, and traumatic dissociation (TD). These IDSs are described and their overlap is examined. Three models of disease production are generated: damage, in which IDSs function incorrectly; inadequate/inappropriate, in which IDS response is outstripped by a changing context; and evolving/learning, in which the IDS learned response to a context is deemed pathologic. Mechanisms of multiple chemical sensitivity (MCS) are developed from several IDS disease models. Model 1A is pesticide damage to the central nervous system, overlapping with body chemical burdens, TD, and chronic zinc deficiency; model 1B is benzene disruption of interleukin-1, overlapping with childhood developmental windows and hapten-antigenic spreading; and model 1C is autoimmunity to immunoglobulin-G (IgG), overlapping with spreading to other IgG-inducers, sudden spreading of inciters, and food-contaminating chemicals. Model 2A is chemical and stress overload, including comparison with the susceptibility/sensitization/triggering/spreading model; model 2B is genetic mercury allergy, overlapping with: heavy metals/zinc displacement and childhood/gestational mercury exposures; and model 3 is MCS as evolution and learning. Remarks are offered on current MCS research. Problems with clinical measurement are suggested on the basis of IDS models. Large-sample patient self-report epidemiology is described as an alternative or addition to clinical biomarker and animal testing.

Acute-Phase Reaction↗

Zebrafish as a versatile model in biomedical research, from disease modeling to regenerative medicine: a review.

Zebrafish are an effective animal model widely utilized in biomedical research. They are known for their rapid reproduction and substantial genetic similarity to humans. Their transparent embryos directly enable the visualization of developmental processes and disease progression. This makes zebrafish invaluable for studying a broad range of human diseases, including cancer, cardiovascular disorders, and neurodegenerative conditions. Compared with other vertebrate models, zebrafish offer several advantages, including ease of genome editing, cost-effective maintenance, and suitability for high-throughput drug screening. Recent advancements have expanded the use of zebrafish in disease modeling and regenerative medicine, providing deeper insights into the genetic and cellular mechanisms underlying human pathologies. Zebrafish provide a robust platform for evaluating the safety, efficacy, and regenerative potential of both natural and synthetic biomaterials, including hydroxyapatite, bioactive glass nanoparticles, and bioceramics. This capability facilitates the creation of artificial tissues that closely resemble native structures. Additionally, integrating artificial intelligence technologies has improved automated data analysis and phenotyping in zebrafish studies, enhancing both accuracy and throughput. This review highlights current applications of zebrafish in disease modeling, drug discovery, regenerative medicine, and biomaterial assessment, emphasizing their evolving role as a versatile preclinical platform supported by advanced genetic and computational tools.

Animals↗

Disease models implicit in statistical tests of disease clustering.

State and local health departments investigate an increasing number of cluster allegations, for which the selection of appropriate statistical methods is an important problem. Many of the methods for the spatial analysis of health data assume, either implicitly or explicitly, some model of disease occurrence, and comparisons of methods can be difficult when their underlying disease models differ. We review some of the issues involved in the statistical analysis of spatial disease patterns and describe several methods recently proposed to detect areas of increased disease rates. The disease models upon which the methods are based are explicitly described, and they provide a useful basis for comparing alternative clustering methods.

Cluster Analysis↗