<i>Chlamydia pneumoniae</i>Infection of Endothelial Cells Induces Transcriptional Activation of Platelet‐Derived Growth Factor–B: A Potential Link to Intimal Thickening in a Rabbit Model of Atherosclerosis
Bibliographic record
Abstract
Smooth muscle cell (SMC) proliferation and intimal thickening are hallmark features of atherosclerotic disease, and Chlamydia pneumoniae may contribute to atherogenesis by imparting biological effects on SMCs. An in vitro endothelial cell model and a normocholesterolemic rabbit model were used to test the hypothesis that infection with C. pneumoniae induces SMC growth factor production, SMC proliferation, and aortic intimal thickening. Using reverse-transcriptase polymerase chain reaction, it was demonstrated that C. pneumoniae infection of endothelial cells induced platelet-derived growth factor (PDGF)-B messenger RNA expression. In C. pneumoniae-infected rabbits, maximum intimal thickness (MIT) was significantly greater than that in uninfected animals (P< .0001). MIT correlated with the presence of C. pneumoniae antigen (P= .043) and PDGF-B (P= .002) in aortic tissues, and C. pneumoniae antigen was independently correlated with the presence of PDGF-B in aortic tissues (P= .009). These results suggest that C. pneumoniae-induced SMC proliferation and intimal thickening may be mediated through PDGF-B and may be a molecular mechanism by which C. pneumoniae infection could contribute to atherogenesis.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".