Association of Nutrition and Gut Microbiome Composition in Puerto Ricans with Alzheimer’s Disease Compared to Healthy Controls
Bibliographic record
Abstract
Abstract Background Alzheimer’s disease (AD) is the most common cause of dementia, consisting of a highly debilitating disorder. It disproportionately affects Caribbean Hispanics, including Puerto Ricans living on the island, where it ranks as the fourth leading cause of death. Reported disparities in AD severity and mortality within this population may stem from various factors, including nutrition, lifestyle, socioeconomic risk status, and more prevalent chronic diseases. Evidence suggests that the gut microbiome plays a role in the pathophysiology of AD through neuroinflammation and amyloid deposition, leading to cognitive impairment. Diet also plays a role in modulating gut microbiome composition and diversity. Our study aims to examine how nutritional choices influence the microbiota composition and diversity of Puerto Ricans with AD compared to cognitively intact controls. Method Forty participants (n = 40), 22 with AD and 18 controls, were clinically and cognitively assessed using Montreal Cognitive Assessment (MoCA). Stool samples were collected for genomic DNA extractions and microbiome characterization. A nutritional questionnaire was administered to participants. Result While no significant differences were observed in the frequency of consumption of fruits and vegetables between AD vs. controls (p‐value 0.58), AD participants had a higher likelihood of consuming grains/ fiber more frequently (p‐value 0.05). There are no significant differences in bacterial diversity and richness between AD vs. controls regarding weekly legume, fruits, vegetables, and sweets intake. However, differences at the phylum taxa levels were observed. Cognitively intact participants with lower weekly consumption of sweets and increased consumption of fruits, vegetables, and legumes exhibited a higher abundance of Bacteroides. Conclusion Diet choices with more frequent consumption of vegetables, fruits, and legumes and fewer sweets were associated with a higher abundance of Bacteroides in control participants. These bacteria are known for the production of butyrate, a compound with neuroprotective and anti‐inflammatory properties known to maintain homeostasis of the GI mucosa barriers. A better understanding of how nutritional choices influence the gut microbiome will be an invaluable approach to the development of modulation‐based therapeutic interventions to serve as part of a multidisciplinary approach to aim for better gut health in the AD population.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| 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".