000K utf8 1100 $c2024 1500 eng 2050 urn:nbn:de:gbv:8:3-2025-00375-3 2051 10.3390/microorganisms12020325 3000 Forero-Rodríguez, Johanna 3010 Arboleda, Humberto 3010 Arias-Rodríguez, Natalia 3010 Best, Lena 3010 Caicedo-Narvaez, Juan David 3010 Fernandez, William 3010 Gómez-Muñoz, Laura Alejandra 3010 Gonzalez-Santos, Janneth 3010 Kaleta, Christoph 3010 López-Castiblanco, Julieth 3010 Mendieta, Cindy V 3010 Pinzón, Andrés 3010 Taubenheim, Jan 3010 Zimmermann, Johannes 4000 Changes in Bacterial Gut Composition in Parkinson's Disease and Their Metabolic Contribution to Disease Development: A Gut Community Reconstruction Approach$hMDPI AG [Forero-Rodríguez, Johanna] 4030 $nMDPI AG 4209 Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease with the major symptoms comprising loss of movement coordination (motor dysfunction) and non-motor dysfunction, including gastrointestinal symptoms. Alterations in the gut microbiota composition have been reported in PD patients vs. controls. However, it is still unclear how these compositional changes contribute to disease etiology and progression. Furthermore, most of the available studies have focused on European, Asian, and North American cohorts, but the microbiomes of PD patients in Latin America have not been characterized. To address this problem, we obtained fecal samples from Colombian participants (n = 25 controls, n = 25 PD idiopathic cases) to characterize the taxonomical community changes during disease via 16S rRNA gene sequencing. An analysis of differential composition, diversity, and personalized computational modeling was carried out, given the fecal bacterial composition and diet of each participant. We found three metabolites that differed in dietary habits between PD patients and controls: carbohydrates, trans fatty acids, and potassium. We identified six genera that changed significantly in their relative abundance between PD patients and controls, belonging to the families Lachnospiraceae, Lactobacillaceae, Verrucomicrobioaceae, Peptostreptococcaceae, and Streptococcaceae. Furthermore, personalized metabolic modeling of the gut microbiome revealed changes in the predicted production of seven metabolites (Indole, tryptophan, fructose, phenylacetic acid, myristic acid, 3-Methyl-2-oxovaleric acid, and N-Acetylneuraminic acid).[...]. Therefore, this research suggests that each individual's diet and intestinal composition could affect host metabolism. Furthermore, these findings open the door to the study of microbiome-host interactions and allow us to contribute to personalized medicine. 4950 https://doi.org/10.3390/microorganisms12020325$xR$3Volltext$534 4950 https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2025-00375-3$xR$3Volltext$534 4961 https://macau.uni-kiel.de/receive/macau_mods_00005906 5051 333.7 5051 570 5051 610 5550 Computational Modeling 5550 Diet 5550 Gut Microbiome 5550 Metabolic Modeling 5550 Parkinson’s Diseases