Chlamydia pneumoniae and atherosclerosis: does the evidence support a causal or contributory role?
Bibliographic record
Abstract
The intracellular bacterial pathogen Chlamydia pneumoniae causes respiratory tract infection and has been associated with atherosclerosis and coronary artery disease. Since atherosclerosis is a progressive disease and is considered to be a chronic inflammation of the artery vessel wall, the interaction of C. pneumoniae with cells of the vasculature that can result in a local inflammatory response is of paramount importance. In this essay we review the pathophysiology of atherosclerosis in the context of C. pneumoniae infection and present an integrated model that includes the involvement of C. pneumoniae in all stages of atherogenesis including initiation, inflammation, fibrous plaque formation, plaque rupture and thrombosis. We hypothesize that acute and persistent infection of professional immune cells (T-cells, monocytes and macrophages) and non-immune cells (endothelial cells and smooth muscle cells) contributes to a sustained inflammatory response mediated by extensive cellular 'crosstalk' and numerous cytokines/chemokines. This cascade of inflammatory mediators may contribute to cellular dysfunction and tissue remodelling of the arterial intima. An improved understanding of the precise mechanism(s) of C. pneumoniae involvement in atherogenesis may help resolve the question of causality however, at the present time, we interpret the data as favoring a contributory rather than a causal role. Future research directed at the discovery of chlamydial virulence factors necessary for intracellular survival and subsequent alterations in host cell gene expression including signalling pathways may be important for the design of future clinical trials.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".