Innovative use of animal models to advance scientific research

Helminth samples (n = 35) recovered from Oryctolagus cuniculus (Linnaeus, 1758) Lilljeborg, 1873 (3) and from another rabbit species, Sylvilagus brasiliensis (Linnaeus, 1758) Thomas, 1901 (32), from August 1909 to February 1948 and that are deposited in the Helminthological Collection of the Oswaldo Cruz Institute were analyzed. The studied samples were represented by the cysticercus of the cestode Taenia pisiformis (Bloch, 1780) and by the nematodes Passalurus ambiguus (Rudolphi, 1819), Vianella fariasi (Travassos, 1915), Longistriata perfida Travassos, 1943, Trichostrongylus retortaeformis (Zeder, 1800). The scope of the present investigation is to survey the parasites infecting these hosts, commonly used as laboratory animal models in scientific research and supply figurative data on the helminths in order to provide their easy identification, since the presence of autochthonous parasite burdens, if undetected or misinterpreted, can alter the final results of experimental assays, mainly those related to immunological approaches, when cross-reactions can occur.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Reductionist thinking and animal models in neuropsychiatric research

Behavioral and Brain Sciences ◽

10.1017/s0140525x18001231 ◽

2019 ◽

Vol 42 ◽

Cited By ~ 1

Author(s):

Nicole M. Baran

Keyword(s):

Animal Models ◽

Mental Disorders ◽

Environmental Factors ◽

Neuropsychiatric Disorders ◽

Model Organisms ◽

Developmental Genetic ◽

Term Study ◽

Genetic And Environmental Factors ◽

Mechanisms Of Plasticity

AbstractReductionist thinking in neuroscience is manifest in the widespread use of animal models of neuropsychiatric disorders. Broader investigations of diverse behaviors in non-model organisms and longer-term study of the mechanisms of plasticity will yield fundamental insights into the neurobiological, developmental, genetic, and environmental factors contributing to the “massively multifactorial system networks” which go awry in mental disorders.

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Building a Successful Career in Scientific Research

10.1017/cbo9781139165471 ◽

2006 ◽

Cited By ~ 2

Author(s):

Phil Dee

Keyword(s):

Scientific Research ◽

Successful Career

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Social-Scientific Research Competency

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000451 ◽

2019 ◽

Vol 35 (5) ◽

pp. 737-750 ◽

Cited By ~ 3

Author(s):

Christopher Gess ◽

Christoph Geiger ◽

Matthias Ziegler

Keyword(s):

Higher Education ◽

Test Scores ◽

Research Performance ◽

Scientific Research ◽

Research Education ◽

Crystallized Intelligence ◽

Research Competency ◽

Social Scientific Research ◽

Social Scientific ◽

Education Courses

Abstract. Although the development of research competency is an important goal of higher education in social sciences, instruments to measure this outcome often depend on the students’ self-ratings. To provide empirical evidence for the utility of a newly developed instrument for the objective measurement of social-scientific research competency, two validation studies across two independent samples were conducted. Study 1 ( n = 675) provided evidence for unidimensionality, expected differences in test scores between differently advanced groups of students as well as incremental validities over and above self-perceived research self-efficacy. In Study 2 ( n = 82) it was demonstrated that the competency measured indeed is social-scientific and relations to facets of fluid and crystallized intelligence were analyzed. Overall, the results indicate that the test scores reflected a trainable, social-scientific, knowledge-related construct relevant to research performance. These are promising results for the application of the instrument in the evaluation of research education courses in higher education.

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Inflammational Animal Models for Schizophrenia

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000216 ◽

2015 ◽

Vol 223 (3) ◽

pp. 157-164 ◽

Cited By ~ 1

Author(s):

Georg Juckel

Keyword(s):

Animal Model ◽

Animal Models ◽

Immune Activation ◽

Microglial Activation ◽

Treatment Options ◽

Early Adulthood ◽

Brain Regions ◽

Synaptic Connections ◽

Preventive Interventions ◽

Immunological System

Abstract. Inflammational-immunological processes within the pathophysiology of schizophrenia seem to play an important role. Early signals of neurobiological changes in the embryonal phase of brain in later patients with schizophrenia might lead to activation of the immunological system, for example, of cytokines and microglial cells. Microglia then induces – via the neurotoxic activities of these cells as an overreaction – a rarification of synaptic connections in frontal and temporal brain regions, that is, reduction of the neuropil. Promising inflammational animal models for schizophrenia with high validity can be used today to mimic behavioral as well as neurobiological findings in patients, for example, the well-known neurochemical alterations of dopaminergic, glutamatergic, serotonergic, and other neurotransmitter systems. Also the microglial activation can be modeled well within one of this models, that is, the inflammational PolyI:C animal model of schizophrenia, showing a time peak in late adolescence/early adulthood. The exact mechanism, by which activated microglia cells then triggers further neurodegeneration, must now be investigated in broader detail. Thus, these animal models can be used to understand the pathophysiology of schizophrenia better especially concerning the interaction of immune activation, inflammation, and neurodegeneration. This could also lead to the development of anti-inflammational treatment options and of preventive interventions.

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