PlexinD1 deficiency in CD11c+ dendritic cells exacerbates airway hyperresponsiveness and enhances IgE and mucus production in allergic asthma
Bibliographic record
Abstract
Abstract Dendritic cells (DC) play a crucial role in regulating allergic asthma. We have demonstrated that the absence of semaphorin3E (Sema3E) exacerbates asthma features in acute and chronic asthma models. However, the role of plexinD1 in these events, especially in DC is unknown. Therefore, we investigated the role of plexinD1 in CD11c+ DC in the HDM model of asthma. CD11c+ DC-specific plexinD1 knockout mice and wild-type mice were subjected to HDM acute allergen protocol. Airway hyperresponsiveness (AHR) parameters were measured using the FlexiVent ventilator. Lung tissue and bronchoalveolar lavage fluid (BALF) were processed by flow cytometry. Cytokines and antibodies were measured using mesoscale and ELISA. Collagen deposition and mucus production were visualized by histological staining, and associated genes were investigated using Real-time PCR. We showed that DC-specific plexinD1 knockout mice exhibited exacerbated airway hyperresponsiveness, including increased airway resistance and tissue elastance. These mice displayed enhanced levels of mucus production and collagen gene expression compared to wild-type mice. These events were accompanied by enhanced recruitment of conventional DCs, specifically CD11b+ cDC2, into the lungs and higher levels of total and HDM-specific serum IgE in CD11c PLXND1 KO compared to wild-type counterparts. Mechanistically, a significantly higher level of IgE in the co-culture of B-DCs isolated from CD11c PLXND1 KO mice compared to DCs isolated from wild-type mice. Overall, our data reveals that the Sema3E-plexinD1 signalling pathway in CD11c+ DC is critical in modulating asthma features. Graphical Abstract
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 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".