Several neurodegenerative diseases cause locomotor disabilities and mood disorders. Therefore, it could be relevant to define behavioral schemes to either predict the diagnosis or recognize mood alterations as a comorbidity in neurodegenerative processes. So, this PhD project aims to design a combined behavioral analysis protocol to assess anxiety-like and stress disorders. To carry out this, a series of behavioral analysis of mice under various condition, including age, sex, and drug treatments were conducted. Furthermore, in this context this approach was applied to some disease models (EAE and G93A mice) in which we have tried to find: early onset, features not previously evaluated and clustering of animals. During this period, the basics of open-source animal monitoring software were perfected through computer-based analysis. Thanks to this knowledge and integration with the previous software, we were able to describe new behavioral aspects. The behavioral analysis was further enriched by the application of multivariate statistical approaches. In addition, neurodegenerative diseases may be related to synaptic dysfunction and toxicity. Researchers can identify the causes of synaptic derangements such as neurotoxic compounds, oxidative stress, and inflammation. There is a growing need for innovative techniques and methods to find the cause of synaptic dysfunction and toxicity as early as possible and prevent the consequences. The second goal of the project was to improve a flow cytometric method to study synaptic toxicity on isolated nerve endings. Flow cytometry is widely used to check neuronal death, detect neurotoxic compounds, and analyze synaptic proteins and biomarkers of neurodegenerative diseases. Starting from a consolidated protocol, we decided to use the observations of a recent critical analysis (artefacts) and implement the monitored signals. This method has enabled the analysis of synaptic toxicity in various contexts, including the pruning phenomenon. The combination of these two approaches in vivo and in vitro could allow us to intervene earlier with pharmacological treatment and highlight common features of neurodegenerative diseases.
A COMBINED STUDY OF NEUROPHARMACOLOGICAL EFFECTS: FROM BEHAVIORAL TESTS TO CYTOFLUORIMETRIC ANALYSIS
TREBESOVA, HANNA
2024-05-14
Abstract
Several neurodegenerative diseases cause locomotor disabilities and mood disorders. Therefore, it could be relevant to define behavioral schemes to either predict the diagnosis or recognize mood alterations as a comorbidity in neurodegenerative processes. So, this PhD project aims to design a combined behavioral analysis protocol to assess anxiety-like and stress disorders. To carry out this, a series of behavioral analysis of mice under various condition, including age, sex, and drug treatments were conducted. Furthermore, in this context this approach was applied to some disease models (EAE and G93A mice) in which we have tried to find: early onset, features not previously evaluated and clustering of animals. During this period, the basics of open-source animal monitoring software were perfected through computer-based analysis. Thanks to this knowledge and integration with the previous software, we were able to describe new behavioral aspects. The behavioral analysis was further enriched by the application of multivariate statistical approaches. In addition, neurodegenerative diseases may be related to synaptic dysfunction and toxicity. Researchers can identify the causes of synaptic derangements such as neurotoxic compounds, oxidative stress, and inflammation. There is a growing need for innovative techniques and methods to find the cause of synaptic dysfunction and toxicity as early as possible and prevent the consequences. The second goal of the project was to improve a flow cytometric method to study synaptic toxicity on isolated nerve endings. Flow cytometry is widely used to check neuronal death, detect neurotoxic compounds, and analyze synaptic proteins and biomarkers of neurodegenerative diseases. Starting from a consolidated protocol, we decided to use the observations of a recent critical analysis (artefacts) and implement the monitored signals. This method has enabled the analysis of synaptic toxicity in various contexts, including the pruning phenomenon. The combination of these two approaches in vivo and in vitro could allow us to intervene earlier with pharmacological treatment and highlight common features of neurodegenerative diseases.
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