Back

AAV-miR-124 enhances endogenous alveolar epithelial regenerative plasticity and reverses bleomycin-induced pulmonary fibrosis

Volpe, M. C.; Zandomenego, G.; Ingo, A. M. D.; Klima, R.; Torresi, M.; Zentilin, L.; Confalonieri, P.; Salton, F.; Licastro, D.; Confalonieri, M.; Braga, L.

2026-08-04 cell biology
10.64898/2026.08.03.741463 bioRxiv
Show abstract

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease characterized by irreversible destruction of the alveolar epithelium and impaired regeneration. Although current therapies slow disease progression, they do not restore functional alveoli, highlighting the need for regenerative approaches that promote endogenous lung repair. Here, we performed the first unbiased functional screen of 2,042 human microRNA mimics in primary mouse alveolar type II (ATII) cells to identify regulators of ATII-to-alveolar type I (ATI) cell transdifferentiation. The screen identified miR-124-3p as the most effective promoter of ATI differentiation. In vitro, miR-124-3p promoted ATII-to-ATI transdifferentiation in healthy and bleomycin-injured ATII cells while also increasing the ATII cell pool, consistent with activity on epithelial progenitors. Using the engineered AAV6.2FF capsid, we generated a vector encoding miR-124-3p, which efficiently transduced ATII cells, MHC-II club distal progenitor cells, and injury-induced KRT8 epithelial intermediates. Therapeutic administration after fibrosis establishment reduced lung fibrosis, restored alveolar architecture, and showed greater efficacy than nintedanib in the bleomycin mouse model. Mechanistically, we propose a context-dependent model whereby miR-124-3p regulates epithelial cell states through the EZH2-C/EBP axis while attenuating epithelial transcriptional programs associated with IPF. Together, these findings support AAV-mediated delivery of miR-124 to promote alveolar repair in pulmonary fibrosis.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.