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.
Browse
Search Results
- Modeling the relationship between the gut microbiome and progressive neurodegenerative diseases: case study Alzheimer’s disease(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-05-26) Trejo Castro, Alejandro Ismael; RANGEL ESCAREÑO, CLAUDIA; 200229; Rangel Escareño, Claudia; tolmquevedo; Alanis Funes, Gerardo Javier; Chávez Santoscoy, Rocío Alejandra; Fernández Figueroa, Edith Araceli; School of Engineering and Sciences; Campus MonterreyAlzheimer’s Disease (AD) has been known since 1906 and many of the symptoms and signs from the first case continue in the conceptualization of AD, such as memory loss, visuospatial disorders, impaired verbal communication, delirium, impotence and personality changes, such as depression and irritability, is the most common cause of dementia and neurodegenerative disease. It is expected to see an increment of up to 225% in the number of patients during a 40-year time frame (2010 - 2050). Clinically, the hallmark pathology of AD is the accumulation of amyloid-β (Aβ) protein fragments outside the neurons and accumulation of abnormal tau tangles within neurons. However, the microbiome composition is unique to a patient and, current studies have also proven the existence of a correlation with the microbiota that results in inflammation patterns and the accumulation of proteins related to AD. Nevertheless, no study so far has presented a model representing the interaction between the microbiota and the current tests to diagnose AD. In this study for the master’s program in Computer Science, we will approach a novel characterization of AD integrating clinical data, gut microbial metabolites and serum lipids metabolites. From a systems biology perspective, we intend to explain these covariates through machine learning and feature selection algorithms that would serve to find biomarkers between those who advance to the disease and those who does not. Data has been collected from various sources, the Alzheimer’s Disease Neuroimaging Initiative (ADNI), and the Alzheimer’s Disease Metabolomics Consortium (ADMC). Our findings suggest that the combination of gut microbial metabolites with the well-known neuropsychological tests could enhance the diagnosis and prediction of AD. This research project invite the researcher to carry out more experiments about the microbiome since we realized is becoming the key to better comprehend AD and probably other neurodegenerative diseases.
- Pathway Identification and Drug Repurposing for Neurodegenerative Diseases: A Public RNA-seq Data Strategy(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-06-11) Marini Macouzet, Constanza; Martínez Ledesma, Juan Emmanuel; tolmquevedo; Aguirre Gamboa, Raúl; Treviño Alvarado, Víctor Manuel; Cuevas Díaz Durán, Raquel; School of Engineering and Sciences; Campus Estado de MéxicoThe thesis desertion detailed here intends to fulfill the requirements for the Master’s in Computer Science. Neurodegenerative human diseases are a significant problem due to their high prevalence. It is estimated that 1 to 2\% of people over the age of 60 years has Parkinson’s disease. The population with Alzheimer disease is approximately 24 million, and it is expected to double. In the US, 30,000 people are estimated to have Huntington Disease (HD). These diseases have no cure, they are fatal, and the quality of life of the patient is appalling. In this study, a comprehensive pipeline comprised of a preprocessing phase and an analytic phase of seven analyses was developed. The main objective was to interrogate public RNA-seq expression data in order to better understand the pathophysiology of the mentioned neurodegenerative diseases (NDs). The analytic phase includes identification of molecular subtypes of the disease, brain and immune cell types proportion estimation, differential gene expression analysis, bypass of copy number variation evaluation, functional analysis, drug repurposing, and comparison of the obtained results with those contained in genome-wise association studies. The interrogation provided key pathways of each disease, and routes that are shared among the NDs. Moreover, pivotal genes resulted in the comparison between diseases and tissues, and were paired with annotated and unannotated genome variants; for HD a possible blood biomarker was suggested. Finally, more than 30 known drugs were repurposed as a plausible treatment to these NDs.
- Effect of the inflammation on the aggregation of the tau and amyloid-β polypeptides in the pyramidal neurons on the hippocampus of a triple transgenic murine model for the Alzheimer’s disease(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-11-18) Moreno Vélez, Pedro Ricardo; ONTIVEROS TORRES, MIGUEL ANGEL; 208552; Ontiveros Torres, Miguel Ángel; hermlugo, emipsanchez; Gutiérrez Rodríguez, Andrés Eduardo; Escuela de Ingeniería y Ciencias; Campus Monterrey; Luna Muñoz, JoséAlzheimer’s Disease (AD) is the most important form of dementia. It represents 70% of all dementia cases worldwide. On a molecular level, AD is characterized by the presence of two fibrillar lesions: the neurofibrillary tangles (NFT) due to the oligomerization of pathological forms caused by post-translational modifications (PTMs) of protein Tau and; the aggregation of peptide amyloid-β (Aβ), product of a bad-processing of amyloid precursor protein (APP) forming neuritic plaques (NP). The triple transgenic mice (3xTg-AD) presents some pathological species of Tau and Aβ aggregations. 3xTg-AD mice received an ethanol treatment to evaluate the generation of proteolyzed forms of Tau through the induction of an exacerbated neurotoxic state Caspase 3 activity was observed accompanied by an increment of NPs in the hippocampus, as well as, the presence of neurofibrillary aggregations of Tau and Aβ.