Correlation of the expression of toll‐like receptors in monocyte‐derived dendritic cells with prognosis of chronic severe hepatitis B
Bibliographic record
Abstract
OBJECTIVE: This study aims to measure the expression of toll-like receptors (TLR) in monocyte-derived dendritic cells (MoDC) from chronic severe hepatitis B (CSHB), to assess the contribution of TLRs in CSHB. METHODS: Peripheral blood was collected from 40 CSHB patients, 30 chronic hepatitis B (CHB) patients, and 30 healthy individuals who served as healthy controls (HCs). Purified monocytes were isolated by a combination of Histopaque-1.077 and CD14 Microbeads. MoDCs were induced with granulocyte macrophage colony-stimulating factor and interleukin-4 for 6 days from CD14(+) monocytes. The expression of TLRs in MoDC was measured using real-time PCR and flow cytometry. RESULTS: The expressions of TLR-1, -2, -7 were significantly higher in MoDC of CSHB than that of HCs, of which the level of TLR-3 was decreased. Particularly in CSHB patients, the TLR-3 expression was further decreased compared to CHB patients. In non-survival CSHB patients, TLR-3 level was significantly decreased, while TLR-2 expression was dramatically increased. Linear correlation analysis demonstrated significant correlations between TLR-3 level and disease severity markers (total bilirubin, prothrombin activity, creatinine, white blood cell count, and maximum volume of ascitic fluid) in individual CSHB patients. CONCLUSIONS: TLR-2 and TLR-3 may be involved in the pathogenesis of CSHB, and TLR-3 may influence the prognosis of CSHB.
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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) | 0.000 | 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 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".