YKL40: a key modulator of the CF inflammatory response?
Bibliographic record
Abstract
YKL‐40 is a human circulating chitinase‐like protein and inflammatory biomarker whose levels are elevated in the blood serum of cystic fibrosis (CF) patients and CF patients with dysglycemia. We explored the effects of treatment with YKL‐40 on peripheral blood mononuclear cells (PBMC) isolated from the whole blood of 70 CF patients, in the context of the inflammatory gene response. The relative expressions of genes for both proinflammatory and immunosuppressive molecules in response to YKL‐40 treatment were quantified and analyzed in conjugation with biological characteristics obtained from each patient, including forced expiratory volume (FEV 1 %), a functional measure of pulmonary ability or disease progression, as well as sex and glycemic status. We found significant positive correlations between the expression of IL‐10 and TGF‐b in response to YKL‐40. Additionally, the FEV 1 % was found to be negatively correlated with IL‐10 expression. After analysis against sex and glycemic status, we found that a significant proportion of the FEV 1 % low /IL‐10 high group consisted of dysglycemic women. These correlations suggest that as the degree of pulmonary function decreases across patients, CF‐PBMC express IL‐10/TGF‐b gene response to YKL‐40, and that dysglycemic women with CF are more predisposed to developing this phenotype in response to elevated YKL‐40 in the peripheral blood. In addition to being a proinflammatory protein and a biological marker of disease evolution, YKL‐40 looks to act as a complex inflammatory modulator in CF. Support or Funding Information Cystic Fibrosis Canada
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".