SP-D Polymorphisms and the Risk of COPD
Bibliographic record
Abstract
Introduction: There are limited data linking serum levels of surfactant protein D, its genetic polymorphisms to the risk of Chronic Obstructive Pulmonary Disease (COPD).Objectives: We sought to investigate these relationships using a case control study design. Methods: Post bronchodilator values of FEV1/FVC <0.7 were used to diagnose COPD patients (n= 115). Controls were healthy subjects with normal spirometry (n= 106) Single nucleotide polymorphisms (rs721917, rs2243639, rs3088308) were genotyped using polymerase chain reaction (PCR) and restriction analysis. Serum SP-D levels were measured using a specific immunoassay. Results:Allele ‘A’ at rs3088308 (p< 0.00,B= −0.41) and ‘C’ allele at rs721917 (p= 0.03; B = −0.30) were associated with reduced serum SP-D levels. Genotype ‘T/T’ at rs721917 was significantly associated with risk of COPD (p= 0.01). Patients with repeat exacerbations had significantly higher serum SP-D even after adjusting for genetic factors. Conclusions:We report for the first time that rs3088308 is an important factor influencing systemic SP-D levels and confirm the previous association of rs721917 to the risk of COPD and serum SP-D levels.
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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) | 0.004 | 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".