Metabolic crosstalk between intestinal microbiota and dendritic cells: from homeostasis to inflammation
Bibliographic record
Abstract
The intestinal microbiota plays critical roles in regulating immunity and inflammation through intricate interactions between microbial metabolites and diverse immune cells. Dendritic cells (DCs), the most potent professional antigen-presenting cells, are essential for sensing the complicated microbiota environment and subsequently initiating and regulating adaptive immune responses. While the commensal microbiota typically mediates DC-triggered immune tolerance and thus the maintenance of intestinal homeostasis, epithelial injury or pathogenic infection generally drives the proinflammatory function of DCs, contributing to harmful inflammation and intestinal disorders. Various microbiota metabolites (such as short-chain fatty acids, bile acids, and tryptophan derivatives) play critical roles in modulating the developmental and functional diversity of DCs through metabolic, epigenetic, or signaling reprogramming. In this review, we discuss the metabolic crosstalk between the intestinal microbiota and DCs and its pivotal function in orchestrating the balance between intestinal homeostasis and pathogenic inflammation. We also discuss future directions to better elucidate the microbiota-DC dialog in intestinal immunity and develop therapeutic approaches for manipulating the microbiota-DC axis against inflammatory disorders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".