Polymorphisms in TOLL-Like Receptor Genes and their Roles in Allergic Asthma and Atopy
Bibliographic record
Abstract
Allergic asthma is a chronic inflammatory disease of the lung airways caused by genetic and environmental factors. Two quantifiable phenotypes of this disease are airway hyperresponsiveness and atopy. TOLL-like receptors (TLRs) are a family of intracellular and cell surface receptors that can respond to pathogen associated molecular patterns involved in the pathogenesis of asthma. Macrophages, one of the main immune cells involved in asthma, express a variety of TLRs, including TLR2, 4, 5, 6, 7, 8 and 9. This review focuses on polymorphisms found in TLR genes expressed in macrophages, and their role in asthma. Human studies have detected polymorphisms in TLR genes associated with asthma phenotypes, and studies using murine models have shown that some receptors and their agonistic or antagonistic ligands are capable of modulating the cytokine profile in asthmatics in a protective manner. Therefore, certain receptors and their ligands are being explored as potential immunotherapies for asthma. Recently, several patents have been filed protecting inventions for treating asthma through the use of TLRs and their ligands. Keywords: TOLL-like receptors, asthma, airway hyperresponsiveness, atopy, macrophages, polymorphisms, immunotherapeutics, CD4+ T lymphocytes, PTGDR, CRTH2), ADRB2, CCR5, GPRA, Genotyping, phenotyping, IgE, GM-CSF, IL-1, IL-13, Immune System, OVA, BALF, Polymorphism, TLR2, TLR4, CD14, TLR6, TLR7, TLR8, TLR9, lipoprotein I, Pseudomonas aeruginosa, LPS, MyD88, viral DNA, bacterial DNA, TSLP, RNAi, Muteins, IFN-, IL-10
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".