# Association of Human Gut Microbiota with Alzheimer’s Disease Pathogenesis: An Exploratory Clinical Study

**Authors:** Tadashi Ohara, Yasuyuki Taki

PMC · DOI: 10.3390/brainsci16020242 · Brain Sciences · 2026-02-21

## TL;DR

This study explores the gut microbiota in Japanese Alzheimer's patients and finds some bacterial differences, though not statistically significant, suggesting a potential link to AD risk.

## Contribution

The study provides preliminary insights into gut microbiota composition in Japanese Alzheimer's patients, highlighting possible future screening applications.

## Key findings

- Ruminococcus inulinivorans and Ruminococcus torques were more abundant in Alzheimer's patients.
- Agathobacter rectalis, Bacteroides uniformis, and Clostridium butyricum were more abundant in healthy adults.
- No statistically significant differences in microbiota composition were observed between groups.

## Abstract

Background/Objectives: The gut–brain axis and its role in neurological disorders have garnered increasing attention in recent years. However, studies assessing the association between microbiota and Alzheimer’s disease in Japanese cohorts are scarce. This study investigated the potential role of the brain–gut axis in Japanese patients with Alzheimer’s disease (AD), focusing specifically on the role of microbiota composition in AD pathogenesis. Methods: Ten patients with AD and 21 healthy adults across three different age groups were enrolled. Fecal microbiota composition was assessed using 16S rRNA gene sequencing. Results: We found that some bacterial species, such as Ruminococcus inulinivorans and Ruminococcus torques, were more abundant in the AD group, whereas others—including Agathobacter rectalis, Bacteroides uniformis, and Clostridium butyricum—were relatively more abundant in healthy adults. However, individual taxa differences did not reach statistical significance. Conclusions: Although our preliminary findings suggest no significant differences in fecal microbiota compositions between patients with AD and healthy individuals, they suggest that microbiota can identify a potential risk for AD development. Future research may help elucidate the bacterial species associated with AD pathogenesis, potentially enabling the use of microbiota composition as a screening tool to identify healthy individuals and those with AD or preclinical AD—an increasingly critical goal amid rising global dementia rates and the urgent need for preventive strategies.

## Linked entities

- **Diseases:** Alzheimer’s disease (MONDO:0004975)

## Full-text entities

- **Genes:** APP (amyloid beta precursor protein) [NCBI Gene 351] {aka AAA, ABETA, ABPP, AD1, APPI, CTFgamma}, MUC2 (mucin 2, oligomeric mucus/gel-forming) [NCBI Gene 4583] {aka MLP, MUC-2, SMUC}, App (amyloid beta precursor protein) [NCBI Gene 11820] {aka Abeta, Abpp, Adap, Ag, Cvap, E030013M08Rik}, mucin [NCBI Gene 100508689], CALCA (calcitonin related polypeptide alpha) [NCBI Gene 796] {aka CALC1, CGRP, CGRP-I, CGRP-alpha, CGRP1, CT}
- **Diseases:** brain diseases (MESH:D001927), HA (MESH:D000067329), Parkinson's disease (MESH:D010300), colorectal cancer (MESH:D015179), mitochondrial dysfunction (MESH:D028361), neurodegenerative diseases (MESH:D019636), injury to (MESH:D014947), inflammation (MESH:D007249), atrophy (MESH:D001284), MCI (MESH:D060825), AD (MESH:D000544), cardiovascular and brain disease (MESH:D002318), diabetes (MESH:D003920), dysbiosis (MESH:D064806), amyloid (MESH:C000718787), dementia (MESH:D003704), neuronal damage (MESH:D009410), type 2 diabetes mellitus (MESH:D003924), heart failure (MESH:D006333), obesity (MESH:D009765), cognitive impairment (MESH:D003072), autoimmune demyelinating disease (MESH:D020278), neurological disorders (MESH:D009461), MS (MESH:D009103)
- **Chemicals:** acid (MESH:D000143), HA-1 (-), ornithine (MESH:D009952), bile acids (MESH:D001647), Lecanemab (MESH:C000612089), fatty acid (MESH:D005227), Butyrate (MESH:D002087), polysaccharides (MESH:D011134), amino acids (MESH:D000596), LPS (MESH:D008070), S-adenosylmethionine (MESH:D012436), acetylcholine (MESH:D000109), butyric acid (MESH:D020148), SCFAs (MESH:D005232)
- **Species:** Blautia wexlerae (species) [taxon 418240], Roseburia inulinivorans (species) [taxon 360807], Homo sapiens (human, species) [taxon 9606], Rattus norvegicus (brown rat, species) [taxon 10116], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Mus musculus (house mouse, species) [taxon 10090], Agathobaculum butyriciproducens (species) [taxon 1628085], gut metagenome (species) [taxon 749906], Mediterraneibacter torques (species) [taxon 33039], Bacteroides uniformis (species) [taxon 820], Clostridium butyricum (species) [taxon 1492], Bacteriophage sp. (species) [taxon 38018], Agathobacter rectalis (species) [taxon 39491], Eubacteriales (order) [taxon 186802]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12938429/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12938429/full.md

## References

73 references — full list in the complete paper: https://tomesphere.com/paper/PMC12938429/full.md

---
Source: https://tomesphere.com/paper/PMC12938429