Altered gut microbial networks and metabolic pathways in multiple system atrophy: a comparative 16S rRNA study

Area of Science:

• Microbiome research
• Neurodegenerative diseases
• Gut-brain axis

Background:

• Multiple system atrophy (MSA) is a neurodegenerative disorder with poorly understood gut microbial associations.
• Gut microbial dysbiosis is increasingly implicated in neurological conditions.

Purpose of the Study:

• To investigate key gut microbial interaction networks in multiple system atrophy (MSA) using comprehensive multimodal analyses.
• To identify potential microbial biomarkers for MSA diagnosis.

Main Methods:

• Collected fecal samples from 119 participants (MSA, Parkinson's disease, healthy controls).
• Utilized 16S rRNA gene sequencing and advanced bioinformatics for bacterial profiling.
• Applied statistical methods (ANCOM, ANCOM-BC, ALDEx2, MaAsLin 2) for differential abundance analysis of genera and metabolic pathways.
• Performed correlation and network analyses to assess interbacterial interactions.

Main Results:

• Lower levels of Fusicatenibacter were observed in MSA patients compared to healthy controls.
• Distinct interbacterial interactions, including a positive association between Ruminococcus gnavus group and Erysipelatoclostridium, were identified in MSA.
• Alterations in specific metabolic pathways (increased ARGORNPROST-PWY, decreased PWY-6478) were noted in MSA patients.

Conclusions:

• Gut microbial signatures show potential as reliable biomarkers for multiple system atrophy.
• Further research is needed to validate these fecal microbiome-derived signatures for clinical use.