ArticleMolecular diversity2025
Exploring bacterial metabolites in microbe-human host dialogue and their therapeutic potential in Alzheimer's diseases.
Article in Molecular diversity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Multivariable-adjusted multi-omics signatures reveal gut microbial functional alterations and metabolic dysregulation in intrinsic capacity decline.The journal of nutrition, health & aging · 2026Article
- Artificial intelligence empowers gut microbiota research in neurodegenerative diseases molecular mechanisms and precision therapy.iScience · 2025Review
- Role of gut microbiota metabolites against vein graft restenosis: insights from network pharmacology, molecular docking and molecular dynamic simulation.BMC medical genomics · 2025Article
- Decoding the relationship between oxidative stress and antiseizure medications using network pharmacology and molecular docking.Scientific reports · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
Neurological dysfunction in association with aging, dementia, and cognitive impairment is the major cause of Alzheimer's disease (AD). Current AD therapies often yield unsatisfactory results due to their poor mechanism in treating the underlying mechanism of the disease. Recent studies suggested that metabolites from the gut microbiota facilitate brain-gut communication. A systematic network pharmacology study and the structure- and analog-based approaches are employed to investigate the metabolites produced by gut microbiota to treat AD. The microbiota metabolites available in the gutMGene database were considered in this study. Two servers, namely Swiss Target Prediction (STP) and Similarity Ensemble Approach (SEA), were used to identify the possible AD targets for the selected metabolites. Detailed KEGG pathway and Gene Ontology (GO) analysis on identified hub genes highlighted the importance of IL6, AKT1, and GSK3B in AD pathophysiology. MMTSp (Microbiota Metabolites Target Signaling pathways) network analysis elucidated that there is a strong relationship with microbiota (Paraprevotella xylaniphila YIT 11841, Bifidobacterium dentium, Paraprevotella clara YIT 11840, Enterococcus sp. 45, Bacteroides sp. 45, Bacillus sp. 46, Escherichia sp. 33, Enterococcus casseliflavus, Bacteroides uniformis, Alistipes indistinctus YIT 12060, Bacteroides ovatus, Escherichia sp. 12, and Odoribacter laneus YIT 12061) and AD pathogenesis. In addition to this, we performed molecular docking to study the metabolite interactions in the AD drug targets. The ADME/T properties of these metabolites were also calculated and the results are discussed in detail.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.