ArticleAlzheimer's research & therapy2025
Distinct gut microbiota profiles and network properties in older Korean individuals with subjective cognitive decline, mild cognitive impairment, and Alzheimer's disease.
Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Gut microbiome remodeling induced by microplastic exposure in humans.Gut microbes · 2026Review
- Review
- Review
- The complex of gut microbial metabolites and sex hormones in Alzheimer's disease.Seminars in immunopathology · 2026Review
- Beyond Feature Selection: Interpretable Machine Learning for Mechanistic Insights in Metabolomics.Biology · 2026Review
- Association of Human Gut Microbiota with Alzheimer's Disease Pathogenesis: An Exploratory Clinical Study.Brain sciences · 2026Article
- Host-gut microbiota interactions in health and disease: mechanisms and intervention strategies.Frontiers in microbiology · 2026Review
- Gut dysbiosis and systemic inflammation in elderly hypertensive patients with amnestic mild cognitive impairment.Frontiers in immunology · 2026Article
- Research Progress on Pathology, Molecular Mechanisms, and Intervention Strategies of Cognitive Dysfunction Associated with Type 2 Diabetes.International journal of general medicine · 2026Review
- Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundThe gut microbiota may influence cognitive function via the gut-brain axis. This study aimed to investigate the gut microbiota profiles of 346 older Korean individuals with subjective cognitive decline but no symptoms (SCD), mild cognitive impairment (MCI), or Alzheimer’s disease (AD).
methodsParticipants aged an average of 72.3 years underwent the profiling of cognitive function, amyloid-β (Aβ) deposition, apolipoprotein E (APOE) genetic variants, depression status, nutrition, and lifestyles. Human fecal bacterial FASTA/Q data (SCD, n = 24; MCI, n = 246; AD, n = 76) were processed using Quantitative Insights Into Microbial Ecology 2 (QIIME2) tools. Operational taxonomic units (OTUs) and their counts were assigned with the National Center for Biotechnology Information Basic Local Alignment Search Tool (BLAST). Machine learning models (random forest and XGBoost) identified key bacterial taxa differentiating groups.
resultsRedundancy analysis revealed associations between gut microbiota composition and cognitive function, age, gender, nutritional status, and body mass index. All three groups shared 71 common bacterial genera with distinct taxonomic profiles across cognitive states. The AD group uniquely harbored Hominisplanchenecus and Lentihominibacter, while the SCD group exclusively contained Anaerosacchariphilus and Anaerobutyricum. Phascolarctobacterium was shared between the AD and MCI groups, and Anaerostipes between the MCI and SCD groups. The SCD group showed significantly elevated Bifidobacterium catenulatum, Anaerobutyricum hallii, and Anaerostipes hadrus. Network analysis demonstrated greater microbial community complexity in the SCD group compared to the MCI and AD groups. Gut bacteria correlated with depression, Aβ deposition, APOE status, and cognitive scores.
conclusionsThis study identified distinct gut microbiota profiles associated with different stages of cognitive impairment in older Korean adults. The observed associations between gut bacterial composition and cognitive function, neurodegeneration biomarkers, and related clinical factors suggest potential relationships that warrant further investigation. These findings contribute to the growing understanding of gut-brain interactions in cognitive aging.
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