Flow-Tolerant Adhesion of a Bacterial Pathogen to Human Endothelial Cells Through Interaction With Biglycan
Bibliographic record
Abstract
BACKGROUND: Bacterial pathogens causing systemic infections disseminate from the initial infection focus to the target organs usually through the blood vasculature. To be able to colonize various organs, bacteria need to adhere to the endothelial cells of the vascular wall, and the adhesion must be strong enough to resist the shear force of the blood flow.Borrelia burgdorferi sensu lato spirochetes, the causative agents of the tick-borne disease Lyme borreliosis, disseminate hematogenously from the tick bite site to the joints, the heart, and the central nervous system of the patient. METHODS: We used both wild-type and genetically modified B. burgdorferi s. l. bacteria, recombinant borrelia adhesins, and an array of adhesion assays carried out both under stationary and flow conditions to investigate the molecular mechanisms of borrelial adhesion to human endothelial cells. RESULTS: Borrelia garinii, a member of the B. burgdorferi s. l. complex, adhered to biglycan expressed by human endothelial cells in a flow-tolerant manner. The adhesion was mediated by the decorin-binding protein A (DbpA) and DbpB surface molecules of B. garinii. CONCLUSIONS: The proteoglycan biglycan is a receptor molecule for flow-resistant adhesion of the bacterial pathogen B. garinii on human endothelial cells.
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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) | 0.001 | 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".