 
                                                                                                    09/25/2025
                                            💡 AI + Nanomedicine: Unlocking Brain-Targeted mRNA Delivery
A groundbreaking study in ACS Nano presents an AI-validated framework for engineering brain-targeted lipid nanoparticles (BT-LNPs), designed to cross the blood–brain barrier (BBB) and achieve selective neuronal transfection.
🔬 How it works:
 The team created a library of BT-LNPs formulated with:
● SM-102 (ionizable lipid, also used in COVID-19 vaccines)
● DOPE & cholesterol
● PEG-lipids (DMG-PEG1000 and DMG-PEG2000)
👉 Importantly, DMG-PEG2000 was conjugated to small molecules (e.g., acetylcholine, glucose, ni****ne), enabling receptor interactions for BBB crossing.
 👉 To balance stability and cellular uptake, shorter PEG chains like DMG-PEG1000 were included, reducing steric hindrance and enhancing targeting efficiency.
✨ Key Outcomes:
 🟩 Acetylcholine-modified LNPs showed a 3.6-fold increase in brain transfection vs. untargeted LNPs.
 🟩 Human iPSC-derived BBB and brain organoid models confirmed successful neuron transfection.
 🟩 AI-based predictions aligned with in vivo results, accelerating discovery and reducing animal testing.
This work highlights a scalable, modular platform for precision CNS gene therapies, with enormous potential for treating neurodegenerative diseases.
😄 We are proud that DMG-PEG1000 and DMG-PEG2000, essential PEG-lipids for LNP formulation, are available from Biopharma PEG.
🔗 Learn more: https://www.biochempeg.com/product/mPEG-DMG.html
 📖 Full article: https://doi.org/10.1021/acsnano.4c15013
                                                         
 
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                         
   
   
   
   
     
   
   
  