Metabolic modeling links gut microbiota to metabolic markers of Parkinson's disease

代谢模型将肠道菌群与帕金森病代谢标志物联系起来

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Abstract

Human gut microbiota have been implicated in metabolic disruptions in Parkinson's disease (PD). However, the underlying mechanisms linking gut microbiota to these disease-related metabolic changes remain largely unknown. In this study, we applied constraint-based metabolic modeling to identify potential causal links between compositional shifts in gut microbiota in PD and metabolic blood markers of PD. We personalized in silico whole-body metabolic models with gut metagenomics of 435 PD patients and 219 healthy controls and profiled in silico gut microbiome influences on 116 blood metabolites with replicated associations with PD diagnosis. Our analysis identified a reduced capacity of the PD host-microbiome co-metabolism to produce L-leucine and leucylleucine in blood. These metabolic predictions were traced back to lower L-leucine production of Roseburia intestinalis and higher L-leucine consumption by Methanobrevibacter smithii in PD microbiomes. We further predicted reduced host-microbiome production capacities of butyrate, myristic acid, and pantothenate in the blood of PD patients and linked these associations to reduced relative abundances of Faecalibacterium prausnitzii. Finally, lower nicotinic acid production capacities were predicted in PD patients, which were associated with increased relative abundances and increased nicotinic acid consumption of Ruthenibacterium lactatiformans in PD. In conclusion, we predicted that the gut microbiome can drive altered blood levels of six metabolites in PD and identified candidate microbial species that may influence these metabolic alterations. These findings may facilitate the development of novel therapies targeting the gut-brain axis in PD.

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