Surfactant protein-D deficiency suppresses systemic inflammation and reduces atherosclerosis in ApoE knockout mice
Bibliographic record
Abstract
AIMS: Although surfactant protein-D (SP-D) is a pneumoprotein that is predominantly synthesized by type II epithelial cells in the lung, individuals with increased circulating levels of SP-D are at an elevated risk of mortality from ischemic heart disease. Whether SP-D contributes directly to atherosclerosis is unknown. We determined the effects of SP-D gene deletion in a mouse model of atherosclerosis. METHODS AND RESULTS: SP-D knockout (KO) mice were crossed with hyperlipidemic and atherosclerosis-prone apolipoprotein E (ApoE) KO mice to generate SP-D/ApoE double knockout (DKO) mice. Mice were placed on a high-fat diet for 12 weeks beginning at 8 weeks of age. Compared with ApoE KO mice, SP-D/ApoE DKO mice had significantly less atherosclerosis with reduced macrophage accumulation, decreased local macrophage proliferation, and increased smooth muscle cell coverage in plaques. Interestingly, SP-D deficiency worsened hypercholesterolemia and induced obesity and insulin resistance but suppressed plasma interleukin-6 (IL-6) levels. SP-D deficiency also reduced blood monocytes and neutrophils counts in ApoE KO mice. CONCLUSION: SP-D deficiency reduces atherosclerosis in part by decreasing the accumulation and proliferation of macrophages and by reducing IL-6 levels systemically. SP-D is a promising therapeutic target for cachectic COPD patients with elevated circulating SP-D levels who are at increased risk of cardiovascular morbidity and mortality.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".