A72 INFLUENCE OF THE MICROBIOME ON DENDRITIC CELL FUNCTION
Bibliographic record
Abstract
Abstract Background The intestinal microbiome educates the immune system, in part through signaling in antigen- presenting cells including dendritic cells (DCs). Germ-free mice exhibit DC deficiency, migration impairment, and priming dysfunction, implying a relationship between microbiota and DC function. Naturally acquired, endemic Helicobacter species (H. spp.) such as H. hepaticus are common in many mouse colonies, whereas some facilities are Helicobacter-free. Aims Although they do not cause overt disease in most immune-competent mouse strains, we hypothesized that H. spp. could be a source of low-level inflammation, resulting in immune reprogramming and leading to phenotypic differences between H. spp.-positive and H. spp.- negative mice. Methods We generated bone marrow-derived dendritic cells (BMDCs) from H. spp.-positive mice and from genetically identical mice rendered H. spp.-free through mouse rederivation. BMDCs were stimulated for 6 hours (or not) with ultra-pure lipopolysaccharide (LPS). We measured expression of molecules MHC-I and MHC II (Signal 1 of antigen presentation) and CD80, CD86 and PD-L1 (Signal 2), the “activating” epigenetic mark of trimethylation at lysine 3 of histone 4 (H3K4me3) and metabolic changes via flow cytometry. Multiplex ELISA was used to measure secreted cytokines (Signal 3) and in vitro methods were used to assay BMDC antigen presentation. Bulk RNA sequencing of BMDCs was performed to further understand microbiome-linked changes in BMDC phenotype. Results Surface expression of molecules related to Signal 1 and Signal 2 of antigen presentation were increased both at steady state and after LPS stimulation in BMDCs derived from H. spp.-positive in comparison with H. spp.-free mice and this correlated with the abundance of H3K4me3. The presence or absence of H. spp. also altered metabolic phenotype of BMDCs upon LPS stimulation. Conclusions The presence of Helicobacter in the gut microbiome influences BMDC phenotype and may alter BMDC function. We anticipate epigenetic changes involved in BMDC phenotypic and functional changes, which will require in-depth epigenetic profiling. Future directions also include fecal microbiota transplant experiments and Helicobacter infection models followed by BMDC characterization using our established pipeline. Funding Agencies None
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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 | 0.000 |
| 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) | 0.003 | 0.001 |
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".