Back

Prodrug BMP-7 attenuates pulmonary fibrosis through downregulation of bone marrow derived ApoE+ alveolar macrophage

Kim, N.; Cho, S. B.; Shin, M. H.; Shim, H. S.; Suh, Y. J.; Kim, H. E.; Lee, J. G.; Han, D.; Choi, H. K.; Jang, S. H.; Hwang, S.-J.; Kim, N. H.; Yook, J. I.; Kim, H. S.; Park, M. S.

2024-09-24 respiratory medicine
10.1101/2024.09.22.24313955 medRxiv
Show abstract

BackgroundBone morphogenetic protein-7 (BMP-7) antagonises transforming growth factor-{beta} (TGF-{beta}). This study investigated the ability of a prodrug BMP-7, designed as micelle nanoparticles for nasal inhalation, to ameliorate pulmonary fibrosis in a bleomycin (BLM)-induced murine model. Materials and MethodsFluorescently labelled BMP-7 was delivered to murine lungs via nasal inhalation. Thirty-eight C57BL/6J mice were divided into three groups: control, BLM and BLM with prodrug BMP-7. We then administered the prodrug BMP-7 and vehicle nasally every 72 hours for 21 days. Single-cell RNA sequencing was performed on bronchoalveolar lavage fluid (BALF) from 18 mice, divided into four groups: control, prodrug BMP-7 alone, BLM and BLM with prodrug BMP-7, to assess effects on alveolar macrophages (AM). The expression of ApoE+ AM was compared between normal and idiopathic pulmonary fibrosis (IPF) patients. ResultsThe prodrug BMP-7 group showed reduced BALF inflammatory cells and significant fibrosis reduction compared to the BLM group. Western blot showed decreased levels of collagen I, -SMA and fibronectin in the prodrug BMP-7 group, along with downregulation of TGF-{beta}/SMAD signalling. ELISA indicated decreased levels of chemokines CXCL10 and CXCL2 in tissue and BALF. Single-cell RNA sequencing revealed a significant increase in bone marrow-derived ApoE+ AM in the BLM group, which was reduced with prodrug BMP-7. Additionally, ApoE+ expression was higher in IPF patients compared to controls. ConclusionsProdrug BMP-7 shows potential as a therapeutic agent for pulmonary fibrosis by modulating ApoE+ AM.

Matching journals

The top 7 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.