P1144ODORIBACTER AND ANAEROTRUNCUS: GUT MICROBIOME SIGNATURE MIGHT BE RELATED TO COGNITIVE IMPAIRMENT IN PATIENTS ON PERITONEAL DIALYSIS
Bibliographic record
Abstract
Abstract Background and Aims Cognitive impairment is very common in dialysis patients, with negative effects on quality of life and mortality. In neurodegenerative conditions (Alzheimer, Parkinson) a gut-brain axis has been identified; however, there is no information about the relationship of gut microbiota alterations and presence of cognitive impairment in chronic kidney disease. The aim was to associate the gut microbiota profile with the cognitive function in patients on automated peritoneal dialysis (APD). Method Cross-sectional study in 39 APD patients; those with visual or mental disabilities, psychiatric or neurodegenerative diseases, inflammatory causes of ESRD, with active infections (including peritonitis), on anti-inflammatory drugs or antibiotics, were excluded. All patients had a clinical, biochemical, nutritional and dialysis adequacy evaluation, and were classified according to the presence of cognitive impairment using the Montreal Cognitive Assessment (MoCA) test. Fecal samples were collected and immediately stored at -80 ºC. DNA extraction was performed with Quick-DNA Fecal/Soil Microbe Miniprep Kit (Zymo Research). Subsequently, V3 and V4 regions of 16S rRNA were sequenced using illumina platform. Statistical analysis: Student t test and χ2 were used to compare quantitative and qualitative variables, respectively. Quantitative Insights Into Microbial Ecology (QIIME) pipeline and Linear Discriminant Analysis Effect Size (LEfSe) were employed for bioinformatic analysis. Results Eighty-two percent of subjects were male, mean age 47 ± 24 years, and dialysis vintage 11 (7-48) months. Sixty-four percent of patients had cognitive impairment. Patients with cognitive impairment were significantly older (53 ± 16 vs 38 ± 14, p=0.006), had higher frequency of diabetes mellitus (56% vs 21%, p=0.04), and had lower creatinine concentrations (11.3 ± 3.7 vs 14.9 ± 5.4, p=0.02) compared to patients with normal cognitive function. No differences were found in other biochemical, nutritional or dialysis adequacy variables. A total of 38,083 sequences per patient were obtained after the microbiome analysis. LEfSe analysis showed a preponderance of S24_7, Rikenellaceae, Odoribacteraceae, Odoribacter, and Anaerotruncus in patients with cognitive impairment. In contrast, patients without cognitive impairment were characterized by Dorea, Ruminococcus, Sutterella and Fusobacteria (LDA score (Log10) > 2.5; p < 0.05). Conclusion Cognitive impairment was present in two-thirds of these APD patients. Odoribacter and Anaerotruncus were significantly more abundant in patients with cognitive impairment than in those with normal function. Such gut bacteria might enhance cognitive impairment as have been described to increase the uremic toxin production and activation of inflammatory pathways in the central nervous system. This is the first study providing evidence than brain and behavior might be influenced by the gut-brain axis in dialysis patients.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".