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Record W2582652923 · doi:10.4049/jimmunol.1601514

Semaphorin 3E Deficiency Exacerbates Airway Inflammation, Hyperresponsiveness, and Remodeling in a Mouse Model of Allergic Asthma

2017· article· en· W2582652923 on OpenAlexafffund
Hesam Movassagh, Lianyu Shan, Ashfaque Mohammed, Andrew J. Halayko, Abdelilah S. Gounni

Bibliographic record

VenueThe Journal of Immunology · 2017
Typearticle
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchUniversity of Manitoba
KeywordsAirway hyperresponsivenessSemaphorinAsthmaMedicineImmunologyInflammationAllergic inflammationBronchial hyperresponsivenessTissue remodelingAllergic asthmaAirwayLungRespiratory diseaseInternal medicineReceptor

Abstract

fetched live from OpenAlex

Abstract Semaphorin 3E (Sema3E) plays a crucial role in axon guidance, vascular patterning, and immune regulation. Nevertheless, the role of Sema3E in asthma is still elusive. In this study, we show that genetic ablation of Sema3E in mice results in increased lung granulocytosis, airway hyperresponsiveness, mucus overproduction, collagen deposition, and Th2/Th17 inflammation. Transfer of Sema3e−/− bone marrow progenitor cells to irradiated wild-type (WT) recipients exacerbates airway hyperresponsiveness and inflammation, whereas transfer of WT bone marrow progenitor cells ameliorates asthma pathology in Sema3e−/− recipients. Sema3e−/− mice display a higher frequency of CD11b+ pulmonary dendritic cells than their WT controls at the baseline and after sensitization with house dust mite. Adoptive transfer of CD11b+ pulmonary dendritic cells from Sema3e−/− mice into WT recipients increases house dust mite–induced Th2/Th17 inflammation in the airway. Together, these findings identify Sema3E as a novel regulatory molecule in allergic asthma that acts upstream of proallergic events and suggest that targeting this molecule could be a novel approach to treat allergic asthma.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.271
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations47
Published2017
Admission routes2
Has abstractyes

Explore more

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