Deleterious Role of TLR3 during Hyperoxia-induced Acute Lung Injury
Bibliographic record
Abstract
RATIONALE: Acute respiratory distress syndrome (ARDS) manifests clinically as a consequence of septic and/or traumatic injury in the lung. Oxygen therapy remains a major therapeutic intervention in ARDS, but this can contribute further to lung damage. Patients with ARDS are highly susceptible to viral infection and it may be due to altered Toll-like receptor (TLR) expression. OBJECTIVES: To evaluate the role of TLR3 in ARDS. METHODS: TLR3 expression and signaling was determined in airway epithelial cells after in vitro hyperoxia challenge. Using a murine model of hyperoxia-induced lung injury, the role of TLR3 was determined using either TLR3-gene deficient mice or a specific neutralizing antibody directed to TLR3. MEASUREMENTS AND MAIN RESULTS: Increased TLR3 expression was observed in airway epithelial cells from patients with ARDS. Further, hyperoxic conditions alone were a major stimulus for increased TLR3 expression and activation in cultured human epithelial cells. Interestingly, TLR3(-/-) mice exhibited less acute lung injury, activation of apoptotic cascades, and extracellular matrix deposition after 5 days of 80% oxygen compared with wild-type (TLR3(+/+)) mice under the same conditions. Administration of a monoclonal anti-TLR3 antibody to TLR3(+/+) mice exposed to hyperoxic conditions likewise protected these mice from lung injury and inflammation. CONCLUSIONS: The potential for redundancy in function as well as cross-talk between distinct TLRs may indeed contribute to whether the inflammatory cascade can be effectively disrupted once signaling has been initiated. Together, these data show that TLR3 has a major role in the development of ARDS-like pathology in the absence of a viral pathogen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 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 teacher head, 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".