Changes in gut microbiota and cytokines following laparoscopic sleeve gastrectomy are associated with cognitive function improvement
Bibliographic record
Abstract
Purpose Variations of cytokines and gut microbiota diversity with improved cognitive function in patients with obesity following bariatric surgery were poorly understood. The aim of this study was to testify the relationship among gut microbiota, cytokines and cognitive function in patients with obesity before and after laparoscopic sleeve gastrectomy (LSG). Methods Forty patients were enrolled in this study. Demographics, and serum and stool specimens were collected from all patients before and 3 months after LSG. The Montreal Cognitive Assessment (MoCA) scale, as well as assessment of immediate and delayed memory were used to evaluate self-perceived cognitive improvement after LSG. Results LSG resulted in significant weight loss and improvement in cognitive functions, as measured by questionnaires. Bariatric surgery tended to increase gut microbiota relative abundance and diversity. The intestinal flora increased in the proportion of Bacteroidetes and Fusobacteria phyla, and decreased in the proportion of Firmicutes , Proteobacteria, and Actinobacteria phyla after LSG. Plasma IL-1β and TNF-α levels were significantly decreased following LSG, while IL-4 was significantly increased. MoCA test scores were significant correlated with IL-4, TNF-α and IL-1β. In addition, Firmicutes had a positive correlation with TNF-α, while Fuscobacteria had a negative correlation with IL-1β. Bacteroidetes was negatively correlated with IL-4. Conclusion Changes in gut microbiota were positive relationship with cognitive function improvement following LSG. Inflammation cytokines maybe played as a mediator between gut microbiota and cognitive function through gut-microbiota-brain axis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".