<i>Porphyromonas gingivalis</i> induces cardiovascular dysfunction
Bibliographic record
Abstract
Porphyromonas gingivalis ( P. gingivalis) is one of the most responsible periodontopathogenic bacteria in the development of periodontal disease (PD); however, its role in the development of other diseases still needs to be understood, specially its implications in the causation of cardiovascular pathogenesis. The aim of this study is to determine whether there is a direct association between P. gingivalis-induced PD with that of the development of cardiovascular disease, and whether a long-term administration of probiotic(s) could help improve the cardiovascular disease outcome. To test this hypothesis, we employed four different experimental groups of mice, designated as: Group I: Wild-type (WT) mice (C57BL/6J); Group II: Lactobacillus rhamnosus GG (LGG) (WT mice treated with a probiotic; LGG), Group III: PD (WT mice treated with P. gingivalis), and Group IV: PD + LGG (WT mice treated with P. gingivalis and LGG). PD was created by injecting 2 µL (i.e., 20 µg) of P. gingivalis lipopolysaccharide (LPS) intragingivally between the 1st and 2nd mandibular molars, two times a week for a total period of 6 weeks. The PD (LGG) intervention was done orally employing 2.5 × 105 CFU/day for a continuous period of 12 weeks. Immediately before the mice were sacrificed, echocardiography of the heart was performed, and after sacrifice, we collected serum samples, hearts, and the periodontal tissue. Histological assessment, cytokine analysis, and zymography of the cardiac tissue were performed. Results revealed inflammation of the heart muscle in the PD group that was marked by infiltration of neutrophils and monocytes, followed by fibrosis. Cytokine analysis of the mice sera revealed significantly elevated levels of tumor necrosis factor-α, IL-1β, IL-6, and IL-17A in the PD group along with LPS-binding protein, and CD14. Most importantly, we observed elevated levels of P. gingivalis mRNAs in the heart tissues of PD mice. Zymographic analysis demonstrated matrix remodeling as revealed by increasing content of MMP-9 in the heart tissues of PD mice. Interestingly, LGG treatment was able to mitigate most of the pathological effects. The findings suggest that P. gingivalis could lead to cardiovascular system disorder and that probiotic intervention could alleviate, and most likely prevent bacteremia and its harmful effect(s) on the cardiovascular function.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".