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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- Mathematical modeling and experimental analytical description of a designed gut microbiota mixed culture, for the study of nonlinear dynamic interactions(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-12-02) Gutiérrez Vilchis, Abel; García González, Alejandro; puemcuervo; Montes Fonseca, Silvia Lorena; Fuentes Aguilar, Rita Quetziquel; Meneses Acosta, Angélica; School of Medicine and Health Sciences; Campus Monterrey; Perfecto Avalos, YocanxóchitlGut microbiota is a complex community, its ecological interactions are studied to understand the relation between its composition and human health. It is known that these interactions are modified by external stimuli like the presence of drugs. In this thesis a new strategy of anaerobic batch culture with the use of microbioreactors was designed. It was tested with two members of the gut microbiota C. butyricum and L. lactis. They were cultured in monoculture and in mixed culture, as well as with and without a treatment of 10 mg/mL of acetaminophen, after determination of the minimum inhibitory concentration. The data of the growth kinetics was analyzed in terms of bacterial concentration [CFU/mL], with two mathematical approaches: regression analysis (logistic regression) and Sparse Identification of Nonlinear Dynamics (SINDy) considering Lotka-Volterra structure. Regression analysis showed that the mixed culture reached a 27% faster peak growth rate [CFU/mL] than the fastest monoculture (L. Lactis). Under the acetaminophen effect, all cultures showed a decrease in peak growth rates [CFU/(mL*h)], however, in terms of maximum growth [CFU/mL] C. butyricum had a 24% increase, while L. lactis and mixed culture had a decrease of 25% and 5% respectively. These findings lead us to believe that mutualism or commensalism is present between the species during mixed culture. Parametric identification of Lotka- Volterra models with SINDy showed that the growth rate [CFU/(mL*h)] depends mainly in the linear relation with the current concentration for both species, while the intraspecies interaction parameter defined the maximum concentration that culture would reach. The coupling of the microbioreactor strategy with the mathematical analysis allowed us to describe the ecological interactions of the complex dynamics of this designed gut microbiota cultures.
- High-Protein Diets Effect on Metabolic Profiles, Gut Microbiota and Inflammation Markers in a Murine Model(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-18) Bárcena Lozano, Laura; Santacruz López, Yolanda Arlette; tolmquevedo; Zabala Arcos, Judith; School of Engineering and Sciences; Campus Monterrey; Serna Saldívar, Sergio OthónDietary food is a key factor that limits the composition of microbial communities in the gut. Extreme diets cause a gut microbiota dysbiosis, modifying immunological markers and being able to produce inflammation in diverse organs. Specialized diets for losing weight and gaining muscle mass, and a raising economical support to obtain meat products in the market have doubled the recommended protein consumption amongst the population. The aim of this work was to elucidate the effects over metabolic profiles, gut microbial communities and inflammation markers that a high-protein diet, vegetal- and animal- based, can cause in a murine model. 27 male mice of 17 weeks of life (Mus musculus C57BL/6) divided in 3 groups: 1) vegetal, 2) animal and 3) standard were fed ad libitum with a high-protein diet (25- 30 %) for 7.5 weeks, following the directions of CICUAL and the Vivarium of Tecnológico de Monterrey. Mice were weighted every week. After the experimental phase, epididymal fat was measured in every group. Also, cecum samples were analysed by qPCR to evaluate the changes in gut microbiota (total bacteria, Bifidobacterium, Lactobacillus, Enterobacteria). Blood samples were collected to obtain serum, and the inflammation markers TNF-α, IL-6 and IL-10 and were analysed by Milliplex® MAP technology and the CRP by ELISA. The statistical tool Minitab® was used to process the results through ANOVA and transforming the data when necessary. Vegetal-based protein diet individuals had more epididymal fat than the rest of the groups. Moreover, they showed a higher IL-10 production as well as the CG. Nevertheless, microbial communities were compromised in the animal-based protein diet, showing signs of dysbiosis, although not presenting excessive production of inflammatory cytokines. Therefore, metabolism of a protein excess with similar amino acid profile may have negative consequences in amino acid utilization and formation of by-products, gut microbiota profiles and inflammation in gut depending on the protein source.