PFKFB2‐Driven Glycolysis Promotes Dendritic Cell Maturation and Exacerbates Acute Lung Injury
Bibliographic record
Abstract
Acute lung injury (ALI) is a life-threatening condition with excessive immune activation and dysregulated inflammation. Dendritic cells (DCs) play a pivotal role in immune regulation; however, their exact contribution to ALI pathogenesis remains unclear. This study demonstrates that the upregulation of the glycolytic regulator 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 2 (PFKFB2) by hypoxia-inducible factor-1α (HIF-1α) enhances glycolysis, drives DC maturation, and exacerbates inflammation, contributing to the pathogenesis of ALI. The findings reveal that HIF-1α directly binds to the PFKFB2 promoter and drives its transcription, leading to increased glycolysis, accelerated DC maturation, and amplified immune activation. In paraquat (PQ)-ALI and lipopolysaccharide (LPS)-ALI mouse models, DC-specific PFKFB2 knockout and DC-targeted delivery of HIF-1α inhibitor-loaded nanoparticles each significantly suppressed DC maturation and alleviated ALI severity. Analyses of lung tissues from patients with PQ poisoning, secondary bacterial pneumonia (2°BP), and Coronavirus Disease 2019 (COVID-19), as well as from normal controls, confirmed these findings, showing increased PFKFB2 expression and DC maturation during ALI. These findings highlight the HIF-1α-PFKFB2 signaling pathway as a critical regulator of glycolysis-driven DC maturation and immune activation, offering novel insights into immunometabolic regulation and a promising therapeutic target for ALI.
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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".