National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Vliv změny stravovacího režimu na zastoupení vybraných druhů rodu Bifidobacterium v lidském trávicím traktu
Vanišová, Denisa
The diploma thesis provides insight into the influence of dietary interventions on the composition of the human intestinal microbiota. Focusing on the representation of bacteria belonging to the genera Bacteroides, Eubacterium and Bifidobacterium, with an emphasis on the identification and percentage representation of B. longum and B. bifidum using the PCR method. The research involved 12 participants who took part in a group weight reduction programme over the course of 8 weeks. Stool samples were analysed before starting and after finishing the course. It was ascertained that during the course there was a significant increase in the number of bacteria of the genus Bifidobacterium, whereas in the genus Bacteroides there was observed a concurrent decrease. Regarding Eubacterium spp. there was almost no observed difference. Over the course of the programme subjects significantly increased their fibre intake, while decreasing intake of all other macronutrients. No correlation was confirmed between the numbers of bifidobacteria and the amount of nutrients consumed.
Metagenomic analysis of child gut microbioma
Zourková, Tereza ; Škutková, Helena (referee) ; Bartoň, Vojtěch (advisor)
The thesis is focused on the influence of the metagenome on child growth and the reasons for the usefulness of investigating the consequences of changes in the human intestinal microbiome. It also describes the general problematics of the microbiome and the history of its studies. The composition of the human intestinal microbiome and the connection with the immune system or, for example, hormone production, are also described here. The thesis also contains information on some methods of metagenome analysis, namely microscopic methods using previous cultivation, mass spectrometry and sequencing methods. The data analysis procedure using various bioinformatics software, with which the data were appropriately pre-processed, is also described here. Filtered data in this way are ready for the following metagenome profiling, which is also described here. At the end of the thesis, the profiling results are evaluated, based on which the course of changes in the microbiome during the aging of the child are estimated, which is the main goal of this bachelor's thesis.

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