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- Creators: Harrington Bioengineering Program
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Description
Synaptosomes are isolated nerve terminals that contain pre- and post-synapticproteins and can be used to model functionally intact synapses. While the quantification and characterization of synaptosomes have been used to study neurological conditions and diseases, relatively few studies have included the use of flow cytometry in the quantification and analytical processes. As such, this study highlights the use of flow cytometry in the synaptosomal quantification process and describes the adaptation of a previously performed synaptic flow protocol to find the optimal concentrations, protein- to-antibody ratios and gating strategies that meet the goals of this and future studies. To validate the protocol, three independent experiments measuring different treatments – traumatic brain injury (TBI), neurodevelopment, and ketamine - on synaptosomal quantity were conducted and compared to pre-existing literature. Despite the high standard deviation values between certain sample replicates, the synaptic flow protocol was validated by the right-skewed nature of the frequency distribution of the standard deviations between sample replicates and that most of the deviations fell below 40% of the maximum variance value. Further analysis showed significant differences (p < 0.05) between the ketamine and TBI groups compared to the control group while no significant differences were observed between the neurodevelopment (P30) group. This study validates the use of flow cytometry in synaptosomal quantification while providing insight to the potential of the synaptic flow protocol in future TBI and psychoplastogen studies.
ContributorsChua, Wan Rong (Author) / Lifshitz, Jonathan (Thesis advisor) / Balmer, Timothy (Thesis advisor) / Velazquez, Ramon (Committee member) / Arizona State University (Publisher)
Created2023
Description
This honors thesis explores using machine learning technology to assist a patient's return to activity following a significant injury, specifically an anterior cruciate ligament (ACL) tear. The goal of the project was to determine if a machine learning model trained with ACL reconstruction (ACLR) applicable injury data would be able to correctly predict which phase of return to sport a patient would be classified in when introduced to a new data set.
ContributorsBernstein, Daniel (Author) / Pizziconi, Vincent (Thesis director) / Glattke, Kaycee (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2023-05
Description
The following paper builds upon version one of The Women’s Power and Influence Index (WPI). The WPI Index is a product created by The Difference Engine, a center at ASU, to address gender inequality in the workplace. The WPI Index ranks Fortune 500 companies on various criteria and releases the information to the public in an easy-to-understand manner. Following the first release in 2021, we aim to help the WPI Index continue to grow by researching social movements that can inspire the Index, suggesting additional criteria for version 1.5, and raising awareness through events and social media. Part I of the paper details how social movements have utilized social pressure and social media to create broad change, setting the stage for the WPI Index’s public rankings to incentivize change. Part II provides research on new criteria we propose to be added to the Index for the next release. Lastly, part III covers how we used Tik Tok, events, and partnerships to help the Index gain notoriety. Altogether the paper suggests new directions and provides scientific research to further the goals of the WPI Index.
ContributorsLee, Chiao Shan (Author) / Amare, Esete (Co-author) / Devries, Alexis (Co-author) / Holly, Sydney (Co-author) / Zaffar, Ehsan (Thesis director) / Gel, Esma (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2023-05
Description
The cerebellum predicts and corrects motor outputs based on sensory feedback for smoother and more precise movements, thus contributing to motor coordination and motor learning. One area of the cerebellum, the vestibulocerebellum, integrates vestibular and visual information to regulate balance, gaze stability, and spatial orientation. Highly concentrated within the granule cell layer of this region is a class of excitatory glutamatergic interneurons known as unipolar brush cells (UBCs) that receive input from mossy fibers and synapse onto multiple granule cells and other UBCs. They can be divided into ON and OFF subtypes based on their responses to synaptic stimulation. Prior research has implicated ON UBCs in motor dysfunction, but their role in motor coordination, balance, and motor learning is unclear. To test the hypothesis that ON UBCs contribute to motor coordination and balance, a transgenic mouse line (GRP-Cre) was used to express the GqDREADD (Gq designer receptors exclusively activated by designer drugs) hM3Dq in a subset of ON UBCs in the cerebellum to disrupt their electrical activity. In a second set of experiments, a Cre-dependent caspase 3 AAV (adeno-associated virus) viral vector was injected into the nodulus of the vestibulocerebellum of GRP-Cre mice to selectively ablate a subset of ON UBCs in the region and test whether they were necessary for motor learning. Motor coordination and balance were assessed using the rotor-rod and balance beam in young mice, and the forced swim test was used to assess vestibular function in older mice. Activity levels, anxiety, gross locomotion, and exploration in young mice were assessed using the open field. The results show that neither motor coordination and balance, nor motor learning, were impaired when the ON UBCs were disrupted or ablated in young mice. However, disruptions affected climbing behavior in older mice during the forced swim test, suggesting an age-dependent effect of ON UBCs on vestibular function.
ContributorsKizeev, Gabrielle (Author) / Balmer, Timothy (Thesis advisor) / Newbern, Jason (Committee member) / Velazquez, Ramon (Committee member) / Arizona State University (Publisher)
Created2023
Description
There are 6 methods of persuasion: reciprocity, scarcity, authority, commitment, liking, and social proof. Although these are typically used in economic scenarios, they may be present between professors and their students as well. We surveyed ASU students to find out which methods of persuasion professors may be implementing in their classrooms, and whether or not these were effective in improving student outcomes (performance, memory, etc.).
ContributorsPautz, Daniella (Author) / Honeycutt, Claire (Thesis director) / Krause, Stephen (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2022-05
Description
Traumatic brain injury (TBI) poses a significant global health concern with substantial health and economic consequences. Patients often face significant consequences after injury, notably persistent cognitive changes and an increased risk of developing neurodegenerative disease later in life. Apart from the immediate insult, the resulting inflammatory response can lead to neuroinflammation, oxidative stress, tissue death, and long-term neurodegeneration. Microglia and astrocytes play critical roles in these inflammatory processes, emphasizing the unmet need for targeted therapies. Vaccine formulations consisting of poly (a-ketoglutarate) (paKG) microparticles (MPs) encapsulating PFK15 (1-(4-pyridinyl)-3-(2-quinolinyl)-2-propen-1-one) and myelin proteolipid protein (PLP) were developed for prior studies and have demonstrated the production of antigen-specific adaptive T-cell responses in the brain, spleen, and lymph nodes of mice, suggesting that these formulations may be able to prevent neuronal inflammation in mice after TBI. The vaccine efficacy was further evaluated through the image analysis of immunohistochemically stained brain tissue sections from naive, saline, and paKG(PFK15+PLP) MPs or paKG(PFK15) MPs treated mice. Though microglia (Iba1), astrocytes (GFAP) and CD86 were visualized in this method, only Iba1 was found to be significantly reduced in the contralateral hemisphere for paKG(PFK15+PLP) MPs and paKG(PFK15) MPs groups when compared to naive (p=0.0373 and p=0.0186, respectively). However, the naive group also showed an unexpectedly high level of CD86 after thresholding (compared to the TBI groups), indicating flaws were present in the analysis pipeline. Challenges of the image analysis process included thresholding setting optimization, folded tissues, bubbles, and saturated punctate signal. These issues may have impacted data accuracy, underscoring the need for rigorous optimization of experimental techniques and imaging methodologies when evaluating the therapeutic potential of the vaccines in mitigating TBI-induced neuroinflammation. Thus, future analyses should consider microglial morphology and employ more accurate thresholding in FIJI/ImageJ to better measure cellular activation and the overall positive signal.
ContributorsSundem, Andrea (Author) / Stabenfeldt, Sarah (Thesis director) / Willingham, Crystal (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
Description
A reliable method for real-time blood flow monitoring in vivo is critical for several medical applications, including monitoring cardiovascular diseases, evaluating interventional procedures and surgeries, and increasing the safety and efficacy of neuromodulation procedures. High-speed methods are particularly necessary for neural monitoring, due to the brain's
heightened sensitivity to hypoxic and ischemic conditions. High-speed CBF monitoring methods may also provide a useful biomarker for the development of a closed-loop deep brain stimulation (DBS) system. Current methods such as laser Doppler, bold fMRI, and positron emission tomography (PET) often involve cumbersome instrumentation and are therefore not well-
suited for chronic microvasculature monitoring. The purpose of this study is to develop a method for real-time measurement of blood flow changes using electrochemical impedance spectra (EIS). Utilizing EIS to measure CBF has the potential to be included in a chronic, closed-loop DBS system that is modulated by fluctuations in CBF, using minimal additional instrumentation. Five experiments in rodents were conducted, with the objective of 1) determining whether electrochemical impedance spectra showed impedance changes correlated with changes in blood flow, assessing the sensitivity, specificity, and limitations of detection of this method, and 2) determining whether cyclic voltammetry-based method could be used to produce EIS more rapidly than current methods. The experimental set-up included electrodes in the femoral artery with the administration of endothelin (ET-1) to induce blood flow changes (N=1), electrodes in the motor cortex using isoflurane variation to induce blood flow changes (N=3), and electrodes in the femoral artery with the administration of nitroglycerin (NTG) to induce blood flow changes (N=1). Preliminary results suggest that impedance changes in the higher frequencies (over 160 Hz) demonstrated higher sensitivity to blood flow changes in the femoral artery model compared to <100 Hz frequencies, with inconclusive results in the motor cortex model. Future in vivo experiments will be conducted using endothelin-1 to further establish the relationship between impedance and cerebral blood flow in the brain.
ContributorsJitendran, Elizabeth (Author) / Greger, Bradley (Thesis director) / Kodibagkar, Vikram (Committee member) / Muthuswamy, Jitendran (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
Description
Alzheimer’s disease (AD) is projected to increase, and understanding risk and protective factors could help mitigate this increase. Deficits in Choline, a B-like vitamin, intake or issues with endogenous choline production can lead to an increased risk for AD development. To better understand the effects of endogenous choline through the lifespan in the context of Alzheimer pathology, Male and Female 3xTg-AD and NonTg mice, were aged to 16.81 ± 0.13 months. Body weight, food consumption data, and blood plasma samples were collected across the lifespan. A behavioral battery, that consisted of Rotarod, Elevated Plus Maze, and Intellicage, was performed to assess differences across a range of tasks. Hippocampal and cortical tissue were collected to assess pathology. Overall, 3xTg-AD mice had lower choline levels than NonTg at multiple timepoints and Males had higher choline than Females. Furthermore, 3xTg-AD Females had higher levels of both Aβ and Tau pathology than their Male counterparts. In the Intellicage, Females made fewer Percent of Correct Responses during Place Preference. Together these findings show that choline levels through the lifespan, impact the severity of pathology between Males and Female 3xTg-AD mice and behavioral differences between the 3xTg-AD and NonTg mouse models.
ContributorsMistry, Faizan (Author) / Velazquez, Ramon (Thesis director) / Judd, Jessica (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor)
Created2024-05
Description
Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionizing the field of healthcare by offering new opportunities for improved diagnosis and treatment planning. These technologies have the potential to transform the way medical professionals approach patient care by analyzing vast amounts of data, identifying patterns, and making predictions. This overview highlights the current state of research and development in the field of AI and ML for diagnosis and treatment planning, as well as explore the ethical benefits and challenges associated with their implementation.
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05