Mice Lacking the Lectin-Like Domain of Thrombomodulin Are Protected Against Melioidosis
Bibliographic record
Abstract
OBJECTIVE: Thrombomodulin is a multidomain receptor primarily expressed by vascular endothelium. The lectin-like domain of thrombomodulin has anti-inflammatory properties. In this study, we investigated the role of the thrombomodulin lectin-like domain in the host response to Gram-negative sepsis caused by Burkholderia pseudomallei, a "Tier 1" biothreat agent and the causative agent of melioidosis, a common form of community-acquired sepsis in Southeast Asia. DESIGN: Animal study. SETTING: University research laboratory. SUBJECTS: Wild-type mice and mice lacking the lectin-like domain of thrombomodulin. INTERVENTIONS: Mice were intranasally infected with live B. pseudomallei and killed after 24, 48, or 72 hours for harvesting of lungs, liver, spleen, and blood. Additionally, survival studies were performed. MEASUREMENTS AND MAIN RESULTS: Following exposure to B. pseudomallei, mice lacking the lectin-like domain of thrombomodulin showed a survival advantage, accompanied by decreased bacterial loads in the blood, lungs, liver, and spleen. Although lung histopathology did not differ between groups, mice lacking the lectin-like domain of thrombomodulin displayed strongly attenuated systemic inflammation, as reflected by lower plasma cytokine levels, maintenance of normal kidney and liver function, histologic evidence of reduced organ damage, and damage to the spleen. CONCLUSIONS: This study reveals for the first time a detrimental role for the thrombomodulin lectin-like domain in the host response to sepsis caused by a clinically relevant Gram-negative pathogen.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".