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