Expression changes of CD177 and MPO as novel biomarkers in lung tissue of CLP model rats
Bibliographic record
Abstract
Background/aim: Sepsis is an unregulated systemic response to microbial invasion that can lead to multiple organ failure. This study aims at investigating the relationships among myeloperoxidase (MPO) and CD177 in major organ systems including whole blood, liver, and lung tissues in septic rats. Materials and methods: Sepsis was induced by cecal ligation and puncture (CLP) in female Wistar rats. Whole blood, liver, and lung samples were obtained from rats of 3 groups (n = 10 for each group, n total = 30: control as a wild-type group, laparotomy group (LAP), and CLP). Gene expression of MPO and CD177 in targeted tissues was determined by real-time PCR after CLP. MPO activity was also determined by ELISA method for the result validation of the real-time PCR. Results: Expression levels of MPO increased significantly in all targeted organs in the CLP group, while CD177 expression was upregulated only in lung tissue in response to sepsis (P < 0.05). The results obtained with ELISA analysis also show that MPO level was significantly increased in all the targeted tissues in the CLP group (P < 0.05). Conclusion: A high level of MPO as an inflammatory enzyme can be a potentially novel biomarker for sepsis in all organs. On the other hand, CD177 may be a marker in lung tissue.
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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 | 0.002 | 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 | 0.001 |
| 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".