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      Modeling on in vivo disposition and cellular transportation of RNA lipid nanoparticles via quantum mechanics/physiologically-based pharmacokinetic approaches

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          Abstract

          The lipid nanoparticle (LNP) has been so far proven as a strongly effective delivery system for mRNA and siRNA. However, the mechanisms of LNP's distribution, metabolism, and elimination are complicated, while the transportation and pharmacokinetics (PK) of LNP are just sparsely investigated and simply described. This study aimed to build a model for the transportation of RNA-LNP in Hela cells, rats, mice, and humans by physiologically based pharmacokinetic (PBPK) and quantum mechanics (QM) models with integrated multi-source data. LNPs with different ionizable lipids, particle sizes, and doses were modeled and compared by recognizing their critical parameters dominating PK. Some interesting results were found by the models. For example, the metabolism of ionizable lipids was first limited by the LNP disassembly rate instead of the hydrolyzation of ionizable lipids; the ability of RNA release from endosomes for three ionizable lipids was quantitively derived and can predict the probability of RNA release. Moreover, the biodegradability of three ionizable lipids was estimated by the QM method and the is generally consistent with the result of PBPK result. In summary, the transportation model of RNA LNP among various species for the first time was successfully constructed. Various in vitro and in vivo pieces of evidence were integrated through QM/PBPK multi-level modeling. The resulting new understandings are related to biodegradability, safety, and RNA release ability which are highly concerned issues of the formulation. This would benefit the design and research of RNA-LNP in the future.

          Graphical abstract

          Physiologically-based pharmacokinetics (PBPK) and quantum mechanics (QM) modeling of transportation and metabolism RNA loaded lipid nanoparticles (LNP). The multi-level model integrated multiple types of experimental data.

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          The method of dispersion correction as an add-on to standard Kohn-Sham density functional theory (DFT-D) has been refined regarding higher accuracy, broader range of applicability, and less empiricism. The main new ingredients are atom-pairwise specific dispersion coefficients and cutoff radii that are both computed from first principles. The coefficients for new eighth-order dispersion terms are computed using established recursion relations. System (geometry) dependent information is used for the first time in a DFT-D type approach by employing the new concept of fractional coordination numbers (CN). They are used to interpolate between dispersion coefficients of atoms in different chemical environments. The method only requires adjustment of two global parameters for each density functional, is asymptotically exact for a gas of weakly interacting neutral atoms, and easily allows the computation of atomic forces. Three-body nonadditivity terms are considered. The method has been assessed on standard benchmark sets for inter- and intramolecular noncovalent interactions with a particular emphasis on a consistent description of light and heavy element systems. The mean absolute deviations for the S22 benchmark set of noncovalent interactions for 11 standard density functionals decrease by 15%-40% compared to the previous (already accurate) DFT-D version. Spectacular improvements are found for a tripeptide-folding model and all tested metallic systems. The rectification of the long-range behavior and the use of more accurate C(6) coefficients also lead to a much better description of large (infinite) systems as shown for graphene sheets and the adsorption of benzene on an Ag(111) surface. For graphene it is found that the inclusion of three-body terms substantially (by about 10%) weakens the interlayer binding. We propose the revised DFT-D method as a general tool for the computation of the dispersion energy in molecules and solids of any kind with DFT and related (low-cost) electronic structure methods for large systems.
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                Author and article information

                Contributors
                Journal
                Acta Pharm Sin B
                Acta Pharm Sin B
                Acta Pharmaceutica Sinica. B
                Elsevier
                2211-3835
                2211-3843
                18 July 2024
                October 2024
                18 July 2024
                : 14
                : 10
                : 4591-4607
                Affiliations
                [a ]State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China
                [b ]Faculty of Health Sciences, University of Macau, Macau 999078, China
                [c ]State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China
                [d ]Center for mRNA Translational Research, Fudan University, Shanghai 200438, China
                [e ]Zhangjiang mRNA Innovation and Translation Center, Fudan University, Shanghai 200438, China
                Author notes
                [* ]Corresponding author. defangouyang@ 123456um.edu.mo
                Article
                S2211-3835(24)00242-9
                10.1016/j.apsb.2024.06.011
                11544175
                4f3151da-a54d-421a-bc9c-a6779c25d68b
                © 2024 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 4 February 2024
                : 4 June 2024
                : 6 June 2024
                Categories
                Original Article

                lipid nanoparticle,rna,ionizable lipid,in vivo transportation,endosomal escape,metabolism,quantum mechanics,physiologically-based pharmacokinetics

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