The role of G protein‐coupled receptors in mast cell activation by antimicrobial peptides: is there a connection?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Antimicrobial peptides (AMPs) are ancient and essential elements of the host defense system, which are found in a wide variety of species. They show antimicrobial activity against a wide range of pathogenic microorganisms. In addition, AMPs are expressed by different immune cells and have a important function in host innate immune response against pathogens by mechanisms that are different from those involved in direct microbial cytolysis. One host innate immune response that is directly activated by AMPs involves induction of localized inflammation through interaction with mast cells. Activation of mast cells releases pre-formed mediators, cytokines, chemokines and eicosaniods, which influence recruitment, survival, phenotype and functions of many immune cells. Mast cells can respond to AMPs independent of antigen and Fc epsilon receptor 1 stimulation. One of these pathways involves G protein-coupled receptor signaling, which can lead to mast cell degranulation. Whether AMPs activate G proteins in mast cells through a receptor-dependent or a receptor-independent mechanism remains poorly understood and there are a great many questions that have yet to be answered. In this review, we will discuss the possible involvement and role of GPCRs in mast cells activation by AMPs and the gaps in our current understanding of this important interaction.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it