Activation of Neutrophil Extracellular Trap Formation in Patients with Heart Failure and a Preserved Ejection Fraction
Bibliographic record
Abstract
INTRODUCTION: Pathophysiological differences between heart failure (HF) with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF) remain poorly understood. Therefore, we performed pathway analyses from whole-blood transcriptomics to distinguish HFpEF from HFrEF. METHODS AND RESULTS: Lexogen's QuantSeq was used to carry out whole-blood transcriptomics in 500 patients with HF (HFpEF n = 250, HFrEF n = 250). Differential gene expression analysis was performed on all protein-coding genes that met a predefined minimum expression level. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology over-representation analysis was utilized to identify upregulated and downregulated biological pathways. The findings were validated in an independent cohort of 727 patients with HF. Out of 7672 protein-coding transcripts, 217 were upregulated and 110 were downregulated in patients with HFpEF compared with HFrEF. The 3 most significantly upregulated genes were neutrophil-expressed elastase, defensin alpha 4, and pro-platelet basic protein. The 3 most significantly downregulated genes were lymphotoxin beta, bridging integrator 1, and V-set pre-B cell surrogate light chain 3. Translation of differentially expressed genes into biological pathways demonstrated that the most significantly activated KEGG pathway in HFpEF was neutrophil extracellular trap formation. DISCUSSION: Transcriptomics analyses suggest activation of neutrophil extracellular trap formation pathways in patients with HFpEF. This pathway is associated with endothelial and coronary microvascular dysfunction and might be a target for future drug development in patients with HFpEF.
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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 | 0.001 |
| 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".