Conditional Deletions of <i>Hdc</i> Confirm Roles of Histamine in Anaphylaxis and Circadian Activity but Not in Autoimmune Encephalomyelitis
Bibliographic record
Abstract
Histamine is best known for its role in allergies, but it could also be involved in autoimmune diseases such as multiple sclerosis. However, studies using experimental autoimmune encephalomyelitis (EAE), the most widely used animal model for multiple sclerosis, have reported conflicting observations and suggest the implication of a nonclassical source of histamine. In this study, we demonstrate that neutrophils are the main producers of histamine in the spinal cord of EAE mice. To assess the role of histamine by taking into account its different cellular sources, we used CRISPR-Cas9 to generate conditional knockout mice for the histamine-synthesizing enzyme histidine decarboxylase. We found that ubiquitous and cell-specific deletions do not affect the course of EAE. However, neutrophil-specific deletion attenuates hypothermia caused by IgE-mediated anaphylaxis, whereas neuron-specific deletion reduces circadian activity. In summary, this study refutes the role of histamine in EAE, unveils a role for neutrophil-derived histamine in IgE-mediated anaphylaxis, and establishes a new mouse model to re-explore the inflammatory and neurologic roles of histamine.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".