Association of Gut Microbiome with Diabetes Mellitus and Alzheimer’s Disease in a Puerto Rican Adult Population: A Preliminary Report
Bibliographic record
Abstract
Abstract Background Alzheimer’s disease (AD) is the most common cause of dementia, consisting in a highly debilitating disorder, progressing from slight memory impairments to a complete loss of mental function, resulting in significant disability and death. In Puerto Rico, AD is the fourth leading cause of death. Caribbean Hispanics, including Puerto Ricans living on the island have shown a more severe AD symptomatology and disease mortality than any other ethnic group. This disparity may be due to health, diet, lifestyle, socioeconomic risk factors and more prevalent chronic health conditions such as diabetes in Hispanic people. Diabetes Mellitus is nowadays considered a risk factor for AD. Evidence suggests that the gut microbiome plays a role in the pathophysiology of AD through neuroinflammation and amyloid deposition leading to cognitive impairment. Main objective: Study the microbiome composition and diversity of Puerto Ricans with AD compared to cognitive‐intact controls in association with Diabetes Mellitus. Method Fifty‐three participants (n = 53), 28 with AD and 25 controls were evaluated clinically and cognitively with the Montreal Cognitive Assessment (MoCA) to associate the gut microbiome with cognitive impairment. Stool was collected for genomic DNA extractions and microbiome characterization. NextGen Illumina MiSeq was used to sequence 16S rRNA genes (V4 region) and analyzed with standard pipelines. Result No statistically significant differences in bacterial diversity and richness between AD vs. controls. We found slight differences in composition, including an abundance of Euryachaeota in AD, while controls had higher levels of Bacteroidetes. Compared to cognitively intact, a decrease in gut microbiome diversity was seen among participants with cognitive decline (p = 0.02). Roseburia (butyrate producing bacteria) seems to decrease with cognitive impairment severity. Diabetics have significantly reduced Anaerostipes and Ruminococcus also butyrate producing bacteria. AD participants with/without Diabetes have predominance of Euryarchaeota. Controls with Diabetes have more Proteobacteria and Bacteroidetes compared to cognitively impaired. Conclusion Both Diabetes and neurocognitive decline appear to reduce butyrate‐producing bacterias, which may be related to a decrease in the homeostasis of the gut‐brain axis and lead to microbiome dysbiosis in the setting of disease. A better understanding of the gut microbiome will be an invaluable approach for development of modulation‐based therapeutic 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".