Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Incidence and symptomatology of orthotospoviruses infecting horticultural crops in Mexico(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-06) Mora Ugalde, María de los Ángeles; Díaz Lara, Alfredo; emimmayorquin; Valiente Banuet, Juan; Tovar Pedraza, Juan Manuel; School of Engineering and Sciences; Campus MonterreyMexico is a leading exporter of horticultural products, with agriculture representing a significant portion of the country's annual economic value. Viral diseases in crops are frequently overlooked, despite their potential to cause severe damage. This work aims to assess the presence and impact of viruses in tomatoes, bell peppers, and lettuce, particularly by those viral agents belonging to the genus Orthotospovirus. Despite the importance of tomatoes in Mexico, limited research has addressed the incidence of orthotospoviruses in their production. Consequently, field surveys were conducted in major horticultural regions of Mexico, where symptomatic and asymptomatic tomato plants were sampled and tested for Orthotospovirus infection, including tomato spot wilt virus (TSWV, Orthotospovirus tomatomaculae), Impatiens necrotic virus (INSV, Orthotospovirus impatiensnecromaculae), ground ring spot virus (GRSV, Orthotospovirus arachianuli), tomato chlorotic spot virus (TCSV, Orthotospovirus tomatoflavi), watermelon silver mottle virus (WSMoV, Orthotospovirus citrullomaculosi) and melon yellow spot virus (MYSV, Orthotospovirus meloflavi) using molecular diagnostics. Likewise, the prevalence of INSV in lettuce was determined through ImmunoStrips, reverse transcription PCR (RT-PCR), and sequence analysis, representing the first identification of INSV in the Bajio region. Another critical aspect of this work includes cross-infection dynamics in bell peppers. Using high-throughput sequencing (HTS), a natural mixed infection by INSV and tomato brown rugose fruit virus (ToBRFV, Tobamovirus fructirugosum) was discovered, which may have implications for the pathogen-host interaction. Overall, the results of this study will contribute to understanding the distribution and economic impact of orthotospoviruses in Mexico, as well as their interactions with other plant viruses. Finally, this research seeks to increase awareness among growers and stakeholders about the risks these viruses pose to horticultural production in Mexico and highlights the importance of disease surveillance and management strategies.
- Assessment of Alzheimer's disease-related blood and urine biomarkers for wastewater-based epidemiological studies(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-11) Armenta Castro, A.; Aguilar Jiménez, Osear Alejandro; emimmayorquin; Montesinos Castellanos, Alejandro; Flores Tlacuahuac, Antonio; School of Engineering and Sciences; Campus Monterrey; de la Rosa Flores, Orlando DanielIncidence of Alzheimer's disease, the leading cause of dementia and the fifth cause of death among elderly patients, has been rapidly increasing in recent years due to continued demographic aging. However, access to diagnosis and adequate care remains limited, especially in low-to-middle income countries, leaving an approximate 41 million cases currently undiagnosed. Such limitations can crucially compromise the quality and availability of care that can be provided to those in need. Wastewater surveillance, which is based on the detection and quantification of biomarkers in wastewater samples, has emerged as a promising tool to assess public health in a time and resource-efficient manner, providing important information for public health authorities and healthcare providers when used in tandem with relevant socioeconomic data and clinical reports. While its potential for monitoring infectious diseases has been proven, efforts towards the integration of biomarkers of chronic and degenerative diseases into such surveillance platforms are still needed. This dissertation aims to evaluate the main biomarkers related to Alzheimer’s disease, including proteins, long non-coding RNAs, and oxidative stress biomarkers, for their integration into wastewater surveillance biomarkers. Moreover, machine learning-based algorithms to correlate the concentration of biomarkers in wastewater to the clinical reports of incidence of a disease were developed using SARS-CoV-2 surveillance in university campuses across Mexico as a relevant case study, to develop effective data analysis strategies to integrate wastewater surveillance data into epidemiological models that allow for public health risk assessment and forecasting. This dissertation contributes to the consolidation of wastewater surveillance as a tool for comprehensive public health risk assessment and data-driven decision-making by demonstrating a pipeline for the integration of new biomarkers into surveillance platforms and effective, easily-interpretable data integration.