Matching Items (130)
Description
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative pathogen of Coronavirus Disease 2019 (COVID-19). Successful vaccination aims to elicit neutralizing antibodies (NAbs) which inhibit viral infection. Traditional NAb quantification methods (neutralization assays) are labor-intensive and expensive, with limited practicality for routine use (e.g. monitoring vaccination response). Thus, a rapid (10-minute) lateral flow assay (LFA) for quantification of SARS-CoV-2 NAbs was developed. Using the NAb LFA, an 18-month longitudinal study assessing monthly NAb titers was conducted in a cohort of over 500 COVID-19 mRNA vaccine recipients. Three NAb response groups were identified: vaccine strong responders (VSRs), moderate responders (VMRs), and poor responders (VPRs). VSRs generated high and durable NAb titers. VMRs initially generated high NAb titers but showed more rapid waning with time post-vaccination. Finally, VPRs rarely generated NAb titers ≥1:160, even after 3rd dose. Although strong humoral responses correlate with vaccine effectiveness, viral-specific CD4+ and CD8+ T cells are critical for long-term protection. Discordant phenotypes of viral-specific CD8+ and CD4+CXCR5+ T follicular helper (cTfh) cells have recently been associated with differential NAb responses. The second portion of this dissertation was to investigate whether/how SARS-CoV-2 T cell responses differ in individuals with impaired NAb titers following mRNA vaccination. Thus, phenotypic and functional characterization of T cell activation across NAb response groups was conducted. It was hypothesized that VPRs would exhibit discordant SARS-CoV-2 T cell activation and altered cTfh phenotypes. Peripheral blood mononuclear cells were isolated from VPRs, VMRs, VSRs, naturally infected, and normal donors. SARS-CoV-2 responsive T cells were characterized using in vitro activation induced marker assays, multicolor flow cytometry, and multiplex cytokine analysis. Further, CXCR5+ cTfh were examined for chemokine receptor expression (CCR6 and CXCR3). Results demonstrated that despite differential NAb responses, activation of SARS-CoV-2 responsive CD4+ and CD8+ T cells was comparable across NAb groups. However, double-positive CD4+CD8+, CD8low, and activated CD4+CXCR5+CCR6-CXCR3+ (Tfh1-like) T cells were expanded in VPRs compared to VMR and VSRs. Interestingly, a unique population of CD8+CXCR5+ T cells was also expanded in VPRs. These novel findings may aid in identification of individuals with impaired or altered immune responses to COVID-19 mRNA vaccination.
ContributorsRoeder, Alexa Jordan (Author) / Lake, Douglas (Thesis advisor) / McFadden, Grant (Committee member) / Borges Florsheim, Esther (Committee member) / Chang, Yung (Committee member) / Rahman, Masmudur (Committee member) / Arizona State University (Publisher)
Created2023
Description
This work presents a thorough analysis of reconstruction of global wave fields (governed by the inhomogeneous wave equation and the Maxwell vector wave equation) from sensor time series data of the wave field. Three major problems are considered. First, an analysis of circumstances under which wave fields can be fully reconstructed from a network of fixed-location sensors is presented. It is proven that, in many cases, wave fields can be fully reconstructed from a single sensor, but that such reconstructions can be sensitive to small perturbations in sensor placement. Generally, multiple sensors are necessary. The next problem considered is how to obtain a global approximation of an electromagnetic wave field in the presence of an amplifying noisy current density from sensor time series data. This type of noise, described in terms of a cylindrical Wiener process, creates a nonequilibrium system, derived from Maxwell’s equations, where variance increases with time. In this noisy system, longer observation times do not generally provide more accurate estimates of the field coefficients. The mean squared error of the estimates can be decomposed into a sum of the squared bias and the variance. As the observation time $\tau$ increases, the bias decreases as $\mathcal{O}(1/\tau)$ but the variance increases as $\mathcal{O}(\tau)$. The contrasting time scales imply the existence of an ``optimal'' observing time (the bias-variance tradeoff). An iterative algorithm is developed to construct global approximations of the electric field using the optimal observing times. Lastly, the effect of sensor acceleration is considered. When the sensor location is fixed, measurements of wave fields composed of plane waves are almost periodic and so can be written in terms of a standard Fourier basis. When the sensor is accelerating, the resulting time series is no longer almost periodic. This phenomenon is related to the Doppler effect, where a time transformation must be performed to obtain the frequency and amplitude information from the time series data. To obtain frequency and amplitude information from accelerating sensor time series data in a general inhomogeneous medium, a randomized algorithm is presented. The algorithm is analyzed and example wave fields are reconstructed.
ContributorsBarclay, Bryce Matthew (Author) / Mahalov, Alex (Thesis advisor) / Kostelich, Eric J (Thesis advisor) / Moustaoui, Mohamed (Committee member) / Motsch, Sebastien (Committee member) / Platte, Rodrigo (Committee member) / Arizona State University (Publisher)
Created2023
Description
Monkeypox virus (MPXV) is an orthopoxvirus that causes smallpox-like disease and has up to a 10% mortality rate, depending on the infectious strain. The global eradication of the smallpox virus has led to the decrease in smallpox vaccinations, which has led to a drastic increase in the number of human MPXV cases. MPXV has been named the most important orthopoxvirus to infect humans since the eradication of smallpox and has been the causative agent of the 2022 world-wide MPXV outbreak. Despite being highly pathogenic, MPXV contains a natural truncation at the N-terminus of its E3 homologue. Vaccinia virus (VACV) E3 protein has two domains: an N- terminus Z-form nucleic acid binding domain (Z-BD) and a C-terminus double stranded RNA binding domain (dsRBD). Both domains are required for pathogenesis, interferon (IFN) resistance, and protein kinase R (PKR) inhibition. The N-terminus is required for evasion of Z-DNA binding protein 1 (ZBP1)-dependent necroptosis. ZBP1 binding to Z- form deoxyribonucleic acid/ribonucleic acid (Z-DNA/RNA) leads to activation of receptor-interacting protein kinase 3 (RIPK3) leading to mixed lineage kinase domain- like (MLKL) phosphorylation, aggregation and cell death. This study investigated how different cell lines combat MPXV infection and how MPXV has evolved ways to circumvent the host response. MPXV is shown to inhibit necroptosis in L929 cells by degrading RIPK3 through the viral inducer of RIPK3 degradation (vIRD) and by inhibiting MLKL aggregation. Additionally, the data shows that IFN treatment efficiently inhibits MPXV replication in a ZBP1-, RIPK3-, and MLKL- dependent manner, but independent of necroptosis. Also, the data suggests that an IFN inducer with a pancaspase or proteasome inhibitor could potentially be a beneficial treatment against MPXV infections. Furthermore, it reveals a link between PKR and pathogen-induced necroptosis that has not been previously described.
ContributorsWilliams, Jacqueline (Author) / Jacobs, Bertram (Thesis advisor) / Langland, Jeffrey (Committee member) / Lake, Douglas (Committee member) / Varsani, Arvind (Committee member) / Arizona State University (Publisher)
Created2022
Description
Climate is a critical determinant of agricultural productivity, and the ability to accurately predict this productivity is necessary to provide guidance regarding food security and agricultural management. Previous predictions vary in approach due to the myriad of factors influencing agricultural productivity but generally suggest long-term declines in productivity and agricultural land suitability under climate change. In this paper, I relate predicted climate changes to yield for three major United States crops, namely corn, soybeans, and wheat, using a moderate emissions scenario. By adopting data-driven machine learning approaches, I used the following machine learning methods: random forest (RF), extreme gradient boosting (XGB), and artificial neural networks (ANN) to perform comparative analysis and ensemble methodology. I omitted the western US due to the region's susceptibility to water stress and the prevalence of artificial irrigation as a means to compensate for dry conditions. By considering only climate, the model's results suggest an ensemble mean decline in crop yield of 23.4\% for corn, 19.1\% for soybeans, and 7.8\% for wheat between the years of 2017 and 2100. These results emphasize potential negative impacts of climate change on the current agricultural industry as a result of shifting bio-climactic conditions.
ContributorsSwarup, Shray (Author) / Eikenberry, Steffen (Thesis director) / Mahalov, Alex (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-05
Description
Machine learning (ML) and deep learning (DL) has become an intrinsic part of multiple fields. The ability to solve complex problems makes machine learning a panacea. In the last few years, there has been an explosion of data generation, which has greatly improvised machine learning models. But this comes with a cost of high computation, which invariably increases power usage and cost of the hardware. In this thesis we explore applications of ML techniques, applied to two completely different fields - arts, media and theater and urban climate research using low-cost and low-powered edge devices. The multi-modal chatbot uses different machine learning techniques: natural language processing (NLP) and computer vision (CV) to understand inputs of the user and accordingly perform in the play and interact with the audience. This system is also equipped with other interactive hardware setups like movable LED systems, together they provide an experiential theatrical play tailored to each user. I will discuss how I used edge devices to achieve this AI system which has created a new genre in theatrical play. I will then discuss MaRTiny, which is an AI-based bio-meteorological system that calculates mean radiant temperature (MRT), which is an important parameter for urban climate research. It is also equipped with a vision system that performs different machine learning tasks like pedestrian and shade detection. The entire system costs around $200 which can potentially replace the existing setup worth $20,000. I will further discuss how I overcame the inaccuracies in MRT value caused by the system, using machine learning methods. These projects although belonging to two very different fields, are implemented using edge devices and use similar ML techniques. In this thesis I will detail out different techniques that are shared between these two projects and how they can be used in several other applications using edge devices.
ContributorsKulkarni, Karthik Kashinath (Author) / Jayasuriya, Suren (Thesis advisor) / Middel, Ariane (Thesis advisor) / Yu, Hongbin (Committee member) / Arizona State University (Publisher)
Created2021
Description
Human papillomavirus (HPV) infection has a large burden on society. It is a causal agent of 99.7% of all cervical cancer cases. The prevalence of HPV infection worldwide is high, but the burden of HPV infections lies on less developed regions. Cervical cancer is not associated with immediate symptoms, screening methods are needed to detect HPV disease presence before lesions progress to cervical cancer. Protein biomarkers are a growing area of diagnostic medicine and facilitate the detection of disease at an early and treatable stage. Technologies for healthcare diagnostics often require laboratory space or expensive instrumentation, which are not feasible for point of care applications. In order for clinical diagnostics to advance in developing countries, low cost, rapid, portable, and easy to use point of care diagnostic tests are needed. The project adapts the Enzyme Linked Immunosorbent Assays (ELISA) and Nucleic Acid-Programmable Protein Array (NAPPA) to a proof of concept assay for use in magnetic bead based microfluidics. The biomarker used for analyte detection was E7, as a strong correlation has been found between presence of E7 antibodies and development of advanced cervical cancer. It is demonstrated that magnetic microfluidic assay design for rapid detection of antibodies is amenable to fluorescence detection in point of care settings. The data demonstrates that the microfluidic assay is rapid, low-cost, specific, and relevant to serology detection. The assay detects antibody responses to analytes with the point of care reader system and is realized in an on chip capacity. With the integration of anti-GST capture antibodies conjugated to the magnetic beads in the microfluidic system, many analytes can be detected without large changes to the existing assay structure, which gives the ability to adapt the system to analytes of interest rapidly.
ContributorsSnow, Kylie (Author) / Anderson, Karen (Thesis advisor) / Blain Christen, Jennifer (Committee member) / Lake, Douglas (Committee member) / Arizona State University (Publisher)
Created2022
Description
Mucosal membranes represent a major site of pathogen transmission and cancer development. Enhancing T cell migration to mucosal surfaces could improve immune-based therapies for these diseases, yielding better clinical outcomes. All-trans-retinoic acid (ATRA) is a biologically active form of vitamin A that has been shown to increase T cell migration to mucosal sites, however its therapeutic use is limited by its toxicity potential and unstable nature. ATRA-related compounds with lower toxicity and higher stability were assessed for their ability to induce similar immune migration effects as ATRA, using in vitro and in vivo model systems. Chapter 2 summarizes the first project, in which synthetic, ATRA-like compounds called rexinoids were used to modulate T cell expression of mucosal homing proteins chemokine receptor 9 (CCR9) and integrin alpha 4 beta 7 (α4β7), and alter their physical migration in vitro. Several rexinoids independently mimicked the activity of ATRA to enhance protein expression and migration, while others worked synergistically with subtoxic doses of ATRA to produce similar results. Furthermore, rexinoid administration in vivo was well-tolerated by animal models, a finding not seen with ATRA.
Chapter 3 focuses on the second project, where plasmids containing ATRA-synthesizing proteins were assessed for their in vivo ability to act as mucosal vaccine adjuvants and enhance T cell migration to mucosal sites during DNA vaccination. Though increased mucosal migration was seen with use of the adjuvant plasmids, these findings were not determined to be significant. Immune-mediated protection following viral challenge was also not determined to be significant in animal models receiving both vaccine and adjuvant plasmids.
The data shows that several novel rexinoids may possess enhanced clinical utility compared to ATRA, lending support for their use in immunotherapeutic approaches towards mucosal maladies. While the potential mucosal vaccine adjuvants did not show great significance in enhancing T cell migration or viral protection, further optimization of the model system may produce better results. This work helps advance knowledge of immune cell trafficking to afflicted mucosal regions. It can be used as a basis for understanding migration to other body areas, as well as for the development of better immune-based treatments.
ContributorsManhas, Kavita Rani (Author) / Blattman, Joseph (Thesis advisor) / Marshall, Pamela (Committee member) / Lake, Douglas (Committee member) / Ugarova, Tatiana (Committee member) / Arizona State University (Publisher)
Created2022
Description
Breast cancer is the most common disease among women and the second most common disease worldwide, accounting for 2.09 million new cases of cancer diagnosis in 2018. It accounts for 11.6% of all cancer cases and is the leading cause of cancer mortality for women as well as the fourth cause of cancer death overall. HER2-positive breast cancer is distinguished as a distinct subtype of breast cancer by the overexpression of HER2, a specific protein found on the surface of cancer cells. Because targeted medicines precisely target the overexpression of the HER2 protein, the management of HER2-positive breast cancer has undergone a complete revolution. Monoclonal antibodies targeting the extracellular domain of the HER2 protein were regarded to be a step forward in the treatment of breast cancer; however, affibody-DNA nanoparticles in particular offer a paradigm-shifting picture of cancer treatment and diagnostics. The advantages of affibody DNA nanoparticles include targeted distribution, customization, small size, potential for combination therapy, and unique character. These attributes make them a promising alternative to monoclonal antibodies, the current standard therapy, in the treatment of HER2 positive breast cancer. The purpose of this paper is to provide information on the most promising recently developed nanoparticle-based therapies for the diagnosis and management of HER-2-positive breast cancer.
ContributorsAndreyeva, Anastasiya (Author) / Chen, Shengxi (Thesis director) / Lake, Douglas (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor) / School of Art (Contributor)
Created2024-05
Description
The treatment of melanoma is dependent on what stage the cancer has developed into. Metastatic melanoma is commonly treated with immune checkpoint inhibitors. Unfortunately, not all patients will respond to the treatment as expected. This paper develops important background knowledge on melanoma, how it is treated for each stage, and immune checkpoint inhibitors.
ContributorsStates, Savanna (Author) / Lake, Douglas (Thesis director) / Chang, Yung (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor)
Created2024-05
Description
Background: Eosinophilic esophagitis (EoE) is an increasingly prevalent allergic disease characterized by eosinophilic inflammation and symptoms of esophageal dysfunction. Diagnosis and monitoring require repeated, invasive endoscopic esophageal biopsies to assess levels of eosinophilic inflammation. Recently, the minimally invasive esophageal string test (EST) has been used collect protein in mucosal secretions as a surrogate for tissue biopsies in monitoring disease activity. From the string, assessment of the eosinophil-associated proteins major basic protein-1 (MBP-1) and eotaxin-3 (Eot3) is used to assess disease activity; however, this requires measurement in a reference laboratory, for which the turnaround time for results exceeds the time required for histopathologic assessment of endoscopic biopsies. In addition, MBP-1 and Eot3 are not markers unique to eosinophils. These obstacles can be overcome by targeting eosinophil peroxidase (EPX), an eosinophil-specific protein, using a rapid point-of-care test. Currently, EPX is measured by a labor-intensive enzyme-linked immunosorbent assay (ELISA), but we sought to optimize a rapid point-of-care test to measure EPX in EST segments.
Methods: We extracted protein from residual EST segments and measured EPX levels by ELISA and a lateral flow assay (LFA).
Results: EPX levels measured by LFA strongly correlated with those quantified by ELISA
(rs = 0.90 {95% CI: 0.8283, 0.9466}). The EPX LFA is comparable to ELISA for measuring EPX levels in ESTs.
Conclusions: The EPX LFA can provide a way to rapidly test EPX levels in ESTs in clinical settings and may serve as a valuable tool to facilitate diagnosis and monitoring of EoE.
ContributorsDao, Adelyn (Author) / Lake, Douglas (Thesis director) / Borges, Chad (Committee member) / Wright, Benjamin (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor) / School of Life Sciences (Contributor)
Created2024-05