Realveolarization with inhalable mucus-penetrating lipid nanoparticles for the treatment of pulmonary fibrosis in mice.
Yan WangJing ZhangYing LiuXiao YueKun HanZhichao KongYuanmin DongZhenmei YangZhipeng FuChunwei TangChongdeng ShiXiaotian ZhaoMaosen HanZhibin WangYulin ZhangAnning LiPeng SunDanqing ZhuXinyi JiangPublished in: Science advances (2024)
The stemness loss-associated dysregeneration of impaired alveolar type 2 epithelial (AT2) cells abolishes the reversible therapy of idiopathic pulmonary fibrosis (IPF). We here report an inhalable mucus-penetrating lipid nanoparticle (LNP) for codelivering dual mRNAs, promoting realveolarization via restoring AT2 stemness for IPF treatment. Inhalable LNPs were first formulated with dipalmitoylphosphatidylcholine and our in-house-made ionizable lipids for high-efficiency pulmonary mucus penetration and codelivery of dual messenger RNAs (mRNAs), encoding cytochrome b5 reductase 3 and bone morphogenetic protein 4, respectively. After being inhaled in a bleomycin model, LNPs reverses the mitochondrial dysfunction through ameliorating nicotinamide adenine dinucleotide biosynthesis, which inhibits the accelerated senescence of AT2 cells. Concurrently, pathological epithelial remodeling and fibroblast activation induced by impaired AT2 cells are terminated, ultimately prompting alveolar regeneration. Our data demonstrated that the mRNA-LNP system exhibited high protein expression in lung epithelial cells, which markedly extricated the alveolar collapse and prolonged the survival of fibrosis mice, providing a clinically viable strategy against IPF.
Keyphrases
- idiopathic pulmonary fibrosis
- induced apoptosis
- cell cycle arrest
- stem cells
- pulmonary fibrosis
- high efficiency
- endoplasmic reticulum stress
- interstitial lung disease
- type diabetes
- fatty acid
- cell death
- pulmonary hypertension
- signaling pathway
- adipose tissue
- dna damage
- oxidative stress
- endothelial cells
- skeletal muscle
- systemic sclerosis
- cystic fibrosis
- high fat diet induced
- big data
- deep learning