Systemic responsiveness to lipopolysaccharide and polymorphisms in the toll-like receptor 4 gene in human beings
Bibliographic record
Abstract
Background: The response to lipopolysaccharide exposure is highly variable and might be a result of genetic diversity between individuals. The toll-like receptor 4 (TLR-4) is the principal receptor for lipopolysacharide.Objectives: We investigated the association between single-nucleotide polymorphisms in the TLR4 locus and levels of systemic inflammatory markers in response to lipopolysaccharide.Methods: Healthy subjects (n = 116) were genotyped for the most frequent polymorphisms found in the promoter and coding region of the TLR4 gene (-2026A/T, -1607T/C, +896A/G, and +1196C/T relative to the translation start site). Subjects were challenged with 20 mug lipopolysaccharide by inhalation.Results: Polymorphisms at +896 and +1196 were in complete linkage disequilibrium, and no homozygotes for the less common allele, G and T respectively, were found. After lipopolysaccharide inhalation, subjects heterozygous for either TLR-4/+896 or TLR4/+1196 had significantly lower numbers of white blood cell counts and lower levels of C-reactive protein and lipopolysaccharide-binding protein compared with homozygotes with the common allele. None of the heterozygous subjects (n = 18) except 1 were high responders to lipopolysaccharide (defined as a rise in C-reactive protein > 10 mg/L), whereas 36 of 98 homozygous subjects were high responders (P <.02). No association was observed between the TLR-4/-2026 and TLR-4/-1607 polymorphisms and lipopolysaccharide responsiveness.Conclusion: The single-nucleotide polymorphisms at position +896 or +1196 in the TLR-4 gene is associated with systemic inflammatory hyporesponsiveness to inhaled lipopolysaccharide.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| 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".