<i>Porphyromonas gingivalis</i> infection upregulates the endothelin (ET) system in brain microvascular endothelial cells
Bibliographic record
Abstract
Endothelin-1 (ET-1), the most potent vasoconstrictor identified to date, contributes to cerebrovascular dysfunction and brain ET-1 levels were shown to be related to Alzheimer's disease and related dementias (ADRD) progression. ET-1 also contributes to neuroinflammation, especially in infections of the central nervous system. Recent studies causally linked chronic periodontal infection with an opportunistic anaerobic bacterium Porphyromonas gingivalis (Coykendall et al.) Shah & Collins to AD development. Thus, the goal of the study was to determine the impact of P. gingivalis infection on the ET system and cell senescence in brain microvascular endothelial cells. Cells were infected with a multiplicity of infection 50 P. gingivalis with and without extracellular ATP-induced oxidative stress for 24 h. Cell lysates were collected for analysis of endothelin A receptor (ETA)/endothelin B receptor (ETB) receptor as well as senescence markers. ET-1 levels in cell culture media were measured with enzyme-linked immunosorbent assay. P. gingivalis infection increased ET-1 (pg/mL) secretion, as well as the ETA receptor expression, whereas decreased lamin A/C expression compared to control. Tight junction protein claudin-5 was also decreased under these conditions. ETA or ETB receptor blockade during infection did not affect ET-1 secretion or the expression of cell senescence markers. Current findings suggest that P. gingivalis infection may compromise endothelial integrity and activate the ET system.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".