Glucose alters the symbiotic relationships between gut microbiota and host physiology
Bibliographic record
Abstract
Bacteria and mammals exhibit all aspects of symbiosis. Metabolic flux in bacteria and in specific host cells can influence host-microbe symbiotic relationships and tip the balance between mutualism, commensalism, and parasitism. The relationship between microbes and host metabolism is bidirectional: microbes can influence host blood glucose, but glucose levels can influence the microbiota and host response to specific bacteria. A key consideration determining symbiotic relationships is compartmentalization of bacterial niches by mucosal, chemical, and physical barriers of the gut. We propose that compartmentalization of glucose levels in the blood versus the intestinal lumen is another important factor dictating host-microbe symbiosis. Host glucose and specific bacteria can modify the intestinal barrier, immune function, and antimicrobial defenses, which can then break down compartmentalization of microbes, alter glucose levels and impact symbiosis. Determining how glucose metabolism promotes mutualistic, commensal, and parasitic relationships within the entire microbiota community is relevant to glucose control in diabetes and enteric infections, which occur more often and have worse outcomes in diabetics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".