Gut Microbiome

Exploring the Fecal Microbiome Dysbiosis and Its Plasma Metabolome Determinants in Advanced Parkinson's Disease With Motor Complications.

TL;DR

Integrated multiomics profiling revealed distinct gut microbial signatures and plasma metabolites in Parkinson's disease with motor complications, with fecal microbiome dysbiosis correlated to plasma metabolic changes, supporting the value of multiomics approaches for mechanistic understanding and diagnostic biomarker identification in PD-MC.

Key Findings

PD-MC patients exhibited distinct gut microbial signatures compared to PD without motor complications patients.

  • Study enrolled 108 PD patients for 16S rRNA gut microbiome profiling.
  • PD-MC patients showed increased fecal abundance of Lactobacillus, Limosilactobacillus, Bifidobacterium, and Ligilactobacillus genera.
  • PD-MC patients showed depleted Agathobacter compared to PD-NMC individuals.
  • Gut microbiome profiling was performed using 16S rRNA sequencing methodology.

PD-MC patients had distinct plasma metabolomic profiles compared to PD-NMC patients.

  • 246 PD patients underwent plasma nontargeted metabolomics analysis.
  • Differential plasma metabolites identified included 3-deoxysappanchalcone (3-DSC), 1,3-Dimethyluracil (1,3-DTl), Leucine, and N-Acetylisoleucine (N-AIL), Dodec-6-enoic acid (D-6-E), N-butyl Oleate (N-BO), and 4-hydroxyundecanoic acid (4-HUA).
  • Functional interpretation of key metabolites was conducted through enrichment and pathway analysis using KEGG and SMPDB databases.

Fecal microbiota aberrations in PD-MC patients were linked to plasma metabolic changes.

  • Spearman correlation analysis was used to evaluate relationships between differential metabolites and microorganisms.
  • Results indicated associations between key microbial populations and metabolomic profiles in PD-MC.
  • The correlation analysis connected gut microbiome dysbiosis to specific plasma metabolite alterations in the PD-MC context.

A multivariate diagnostic model for PD-MC was developed using discriminative gut microbial and plasma metabolite features.

  • The diagnostic model utilized both gut microbiota signatures and plasma metabolites as discriminative features.
  • The model was developed in the context of 108 patients for microbiome and 246 patients for metabolomics profiling.
  • The study identified these combined multiomics features as potential diagnostic biomarkers for PD-MC.

Gut microbiota and plasma metabolite perturbations are described as closely associated with the etiopathogenesis of Parkinson's disease.

  • PD-MC currently lacks effective diagnostic and therapeutic strategies according to the authors.
  • Whether fecal microbiome dysbiosis and changed plasma metabolites are involved in PD progression, particularly in PD-MC development, was previously unclear.
  • The study used an extensive multiomics analysis involving both 16S rRNA gut microbiome profiling and plasma nontargeted metabolomics to address this gap.

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Citation

Qian S, Hou J, Xiong X, Duan Q, Jiang T, Zheng Y, et al.. (2026). Exploring the Fecal Microbiome Dysbiosis and Its Plasma Metabolome Determinants in Advanced Parkinson's Disease With Motor Complications.. CNS neuroscience & therapeutics. https://doi.org/10.1002/cns.70750