The chaperone GrpE mediates adhesion in Mycoplasma bovis and interactions with host extracellular matrix components and plasminogen
Bibliographic record
Abstract
Mycoplasma bovis (M. bovis) is a significant pathogen responsible for various clinical manifestations in cattle, including pneumonia, mastitis, and arthritis. The challenges associated with managing M. bovis infections include the absence of specific therapeutic agents, increasing antibiotic resistance and the absence of an effective commercial vaccine. The chaperone GrpE is a crucial component of mycoplasma bacteria. However, because there are few tools for genetic manipulation of M. bovis, the role of GrpE in pathogenicity is yet unknown. In this study, GrpE was universally present in the tested M. bovis strains, and it was localized on the surface membrane. We first demonstrated that GrpE plays a vital role in the ability of M. bovis to adhere to embryonic bovine lung (EBL) cells in a dose-dependent manner. Importantly, the presence of anti-GrpE serum specifically inhibited this adhesion. Additionally, GrpE was shown to bind various components of the host extracellular matrix (ECM), such as fibronectin, collagen IV, laminin, and vitronectin. This interaction not only facilitated adhesion but also promoted the activation of plasminogen into plasmin via tissue plasminogen activator (tPA). The significance of GrpE was further underscored in that disruption of the grpE gene markedly reduced the adhesion of M. bovis to EBL cells, whereas this ability was restored in the complemented strain M. bovis ∆grpE:grpE. In conclusion, GrpE represents a novel adhesion protein in M. bovis that is crucial for its interaction with the host ECM and plasminogen. This research highlights the importance of GrpE in the pathogenicity of M. bovis and suggests that targeting this protein could offer new avenues for vaccine development and therapeutic strategies against M. bovis infections.
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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) | 0.000 | 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".