Role of the Gut Microbiome in Cognitive Health of Puerto Ricans: A Novel Perspective for Understanding Alzheimer’s Disease
Bibliographic record
Abstract
Abstract Background Alzheimer’s disease (AD) comprise over 70% of dementia cases in the United States (US), characterized by progressive neurodegenerative symptoms. In the US and Puerto Rico (PR), AD is the sixth and fourth leading cause of death, respectively. The Gut‐Brain Axis is a bidirectional communication mechanism between the central nervous system and microbes that reside in the gastrointestinal tract. Research shows that neuroactive metabolites influence neurological responses and inflammatory pathways. Even though a correlation between gut microbiome and some neuropsychological diseases (e.g., Parkinson’s) has been described, its association with AD is understudied. This study compared the gut microbiome of Puerto Ricans with AD to healthy controls to help elucidate the role of gut microbiota as a possible contributing factor for the high prevalence in this population. Method The study evaluated 100 participants: AD (n = 50) and controls (n = 50) with a medical history, physical exam, ApoE genotype, and cognition using the Montreal Cognitive Assessment (MoCA) and Clinical Dementia Rating Scale (CDR). Stool for genomic DNA extractions and microbiome characterization using 16S rRNA genes (V4 region) via Illumina MiSeq. Result Microbial Alpha Diversity showed no significant difference between AD and controls. Microbial Beta Diversity showed a significant difference between groups (P‐value = 0.034). Phyla‐level taxa tendencies in AD showed a higher relative abundance of Actinobacteria, Verrucomicrobia, and Euryarchaeota. Taxonomic profiling also showed reduced levels of neuroprotective genera Faecalibacterium and Bacteroides, and increased levels of pro‐inflammatory opportunistic Eggerthella. Regarding CDR testing of AD groups, there were significant differences in alpha diversity among normal CDR with mild and severe dementia. The microbial richness of controls declined with their cognitive status based on MoCA. One variant of ApoE4 was present in 92% of AD patients (46/50) and 94% in controls (47/50). Only one subject had E3E3 phenotype while 30.4% E3E4, 2.9% E4E4, and 5.9% E2E3. Conclusion This study, the first of its kind in PR, suggests that microbial diversity and richness are associated with cognitive status. Furthermore, it showed possible bacterial dysbiosis in AD patients compared to controls which paves the way for identifying microbial biomarkers and modulation‐based interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".