Targeting psychological stress-steroid-MARCH1 signaling pathway promotes the efficacy of specific allergen immunotherapy
Bibliographic record
Abstract
Background: The therapeutic efficacy of allergen specific immunotherapy (SIT) is recognized, but needs improved.Psychological stress influences the immune system's function.The objective of this study is to elucidate the effects of psychological stress on compromising the effectiveness of SIT.Methods: A murine model with the airway allergic disorder (AAD) was established.Mice were treated with SIT with or without restraint stress (Rs).Results: Rs was found to significantly hamper the efficacy of SIT in mice with AAD.Induction of IL-10 + dendritic cells and type 1 regulatory T cells were reduced by Rs in the airway tissues.Rs-induced cortisol release subverted immune tolerance generation.Expression of MARCH1 was elevated in dendritic cells of the allergic lesion sites.The Rs-induced MARCH1 mediated the immune impairment in AAD mice.Genetic ablation of MARCH1 in dendritic cells efficiently blocked the Rs-compromised the therapeutic efficacy of SIT.Conclusion: Rs can increase the expression of MARCH1 in DCs of the allergic lesion sites.MARCH1 interferes with the immune regulatory properties in DCs, and impairs the immune regulatory capacity.Blocking MARCH1 can counteract the Rs-affected SIT efficacy.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".