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Rossetti, P.

Publications and source records attributed to Rossetti, P..

2 recordsLinked to original sources

Membrane Environment Sets the Functional pKa of Ionizable Lipids

Ionizable aminolipids enable lipid nanoparticles (LNPs) to encapsulate nucleic acids at neutral pH and to release their cargo upon endosomal acidification. The discrepancy between this effective, acidic LNP pKa and the basic intrinsic pKa of aminolipids, however, remains poorly understood. Here, we performed microsecond constant-pH molecular dynamics simulations of five widely used aminolipids (DODAP, DLin-MC3-DMA, DLin-KC2-DMA, ALC-0315, and SM-102) embedded in different LNP-relevant ternary DOPC/D-SPC-cholesterol membranes to quantify how aminolipid structure and membrane composition jointly govern aminolipid protonation and the associated pH-dependent membrane remodeling. Across all systems, membrane embedding lowers the apparent aminolipid pKa, yielding physiologically relevant values of 6-7.5 corresponding to shifts by up to 3.5 pKa units or approx. 20 kJ mol-1 with respect to the intrinsic pKa. Strikingly, the magnitude of the pKa shift correlates with pH-driven membrane remodeling upon deprotonation: polyunsaturated aminolipids undergo surface-to-core translocation, branched aminolipids preferentially form laterally segregated surface domains, and DODAP remains interfacially anchored through sustained hydration and hydrogen bonding. Saturated helper lipids (DSPC) systematically enhance segregation and amplify pKa shifts relative to DOPC. Together, these results identify membrane phase behavior as a primary regulator of aminolipid protonation equilibria and establish quantitative design principles for tuning LNP composition toward desired pKa, membrane remodeling, and delivery performance.

biophysics↗

Constant-pH MD Simulations of Lipids

Constant pH Molecular Dynamics (CpHMD) simulations represent a cutting-edge computational approach for studying biological systems with remarkable realism. Recent advancements have enhanced the accessibility and efficiency of CpHMD, significantly reducing the performance overhead compared to traditional constant-protonation MD simulations. This chapter guides the reader through the application of CpHMD to investigate the pH-dependent behavior of Cationic Ionizable Lipids (CILs) -- a critical component of Lipid Nanoparticles (LNPs), which are among the most promising platforms for drug delivery. LNPs, including those employed in mRNA-based vaccines, played a pivotal role in the global response to the SARS-CoV-2 pandemic, underscoring their potential in modern medicine. The chapter begins with a comprehensive introduction to the fundamental concepts of LNPs and provides a step-by-step protocol for setting up simulations of membranes containing CILs to calculate their apparent pKa. This parameter is crucial for governing the in vivo behavior of LNPs, where precise control is essential to optimize delivery efficiency while minimizing toxicity. By showcasing the ability of CpHMD simulations to unravel the intricate relationship between pH-dependent protonation, membrane structure, and lipid distribution, this chapter highlights their potential to inform the rational design of novel LNP formulations.

biophysics↗