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Abstract
There is strong interest in using the gut microbiome for Parkinson’s disease (PD) diagnosis and treatment. However, a consensus on PD-associated microbiome features and a multi-study assessment of their diagnostic value is lacking. Here, we present a machine learning meta-analysis of PD microbiome studies of unprecedented scale (4489 samples). Within most studies, microbiome-based machine learning models accurately classify PD patients (average AUC 71.9%). However, these models are study-specific and do not generalise well across other studies (average AUC 61%). Training models on multiple datasets improves their generalizability (average LOSO AUC 68%) and disease specificity as assessed against microbiomes from other neurodegenerative diseases. Moreover, meta-analysis of shotgun metagenomes delineates PD-associated microbial pathways potentially contributing to gut health deterioration and favouring the translocation of pathogenic molecules along the gut-brain axis. Strikingly, microbial pathways for solvent and pesticide biotransformation are enriched in PD. These results align with epidemiological evidence that exposure to these molecules increases PD risk and raise the question of whether gut microbes modulate their toxicity. Here, we offer the most comprehensive overview to date about the PD gut microbiome and provide future reference for its diagnostic and functional potential.
Academic Publication Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease
Research Abstract & Technology Focus
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Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease
Abstract There is strong interest in using the gut microbiome for Parkinson’s disease (PD) diagnosis and treatment. However, a consensus on PD-associated microbiome features and a...
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What is the core focus of the research titled 'Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease'?
This literature focuses on: Abstract There is strong interest in using the gut microbiome for Parkinson’s disease (PD) diagnosis and treatment. However, a consensus on PD-associated microbiome features and a multi-study assessment of their diagnostic value ...
Are there open-source GitHub repositories related to Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease?
Yes, open-source projects like QuipNetwork/xq-rs (A rust implementation of the Quip Network's quantum virtual machine.) are actively building upon these concepts.
Which startups are commercializing the technology behind Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease?
Products like Superset are bringing this to market. Their focus is: Run an army of Claude Code, Codex, etc. on your machine.
What other academic literature is closely related to 'Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease'?
Yes, highly correlated activity was mapped. An entry titled 'Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease' discusses this: Abstract There is strong interest in using the gut microbiome for Parkinson’s disease (PD) diagnosis and treatment. However, a co...
Are there commercial applications of 'Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease' in market news publications?
Yes, highly correlated activity was mapped. An entry titled 'A deep-learning framework reveals whole-body perturbations at cell level' discusses this: An analysis of diet-induced obesity using MouseMapper—a suite of foundation-model-based deep-learning algorithms—identifies structural alterations ...
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Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
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GitHubQuipNetwork/xq-rs
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GitHubQuipNetwork/xq-py
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Product HuntSuperset
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Product HuntCloud Computer by Manus
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