Ionizable Lipid Structures for mRNA Encapsulation and Targeting

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Solution Overview

Problem

Existing lipid nanoparticle formulations for mRNA delivery require optimization of multiple lipids, which can affect diameter, encapsulation, zeta potential, and tissue targeting, necessitating the development of alternative lipid structures.

Innovation Solution

A compound of Formula I, comprising specific alkyl, alkenyl, or alkynyl groups, is used to form lipid nanoparticles that can be combined with other lipids for delivering therapeutic agents, including mRNA, to improve delivery efficiency and targeting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple lipids are used in classical formulations, then the lipid nanoparticle can achieve proper encapsulation and delivery function, but the formulation complexity increases and requires individual optimization for each lipid

Engineering Contradiction:
Improveencapsulation efficiencyVSAvoidformulation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts and isolates a specific functional moiety from the complex lipid structure - the ionizable amine group with specific pKa characteristics. This allows the invention to focus on optimizing this critical functional element while maintaining the overall lipid nanoparticle formulation approach, thereby reducing the complexity of optimizing every individual lipid component separately.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent systematically varies key parameters of the ionizable lipid moiety including pKa value (6.5-9.5), amino acid sequence, and structural configuration to optimize encapsulation efficiency. By changing these parameters, the invention achieves reliable nucleic acid encapsulation while simplifying the formulation process through defined parameter ranges rather than trial-and-error optimization of multiple components.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If the lipid structure is modified to improve targeting, then tissue specificity increases, but the optimization process becomes more complex

Engineering Contradiction:
Improvetissue targeting capabilityVSAvoidoptimization process complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies local quality modification by introducing specific amino acid residues at particular positions within the ionizable lipid moiety. This allows targeted modification of specific regions to achieve tissue-specific targeting (e.g., liver, lung, heart) while keeping the rest of the lipid structure relatively simple, thereby reducing overall optimization complexity.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments the lipid nanoparticle formulation into distinct functional modules: the ionizable lipid moiety with specific pKa and amino acid sequence for targeting, the lipid tail for membrane integration, and the overall nanoparticle structure for delivery. This segmentation allows independent optimization of each module, making the overall process more manageable and less complex.

Inventive Principle:
Principle #1Segmentation

3Manufacturing precision

If the lipid composition is adjusted to control zeta potential, then the nanoparticle surface charge is optimized, but the formulation optimization becomes more difficult

Engineering Contradiction:
Improvezeta potential controlVSAvoidformulation optimization difficulty
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent establishes a specific parameter range for pKa (6.5-9.5) of the ionizable lipid moiety that directly controls zeta potential. By staying within this defined range, the invention achieves precise control over surface charge characteristics while simplifying optimization, as the parameter range provides clear guidance rather than requiring complex multi-variable optimization.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250312288A1Lipids and lipid nanoparticle formulations
Publication Date: 2025.10.09 SHENZHEN LONGUIDE BIOPHARMA CORP
  • US20250312288A1 patent drawing
  • US20250312288A1 patent drawing
  • US20250312288A1 patent drawing

AI summary

The present disclosure relates generally to lipids, lipid nanoparticle formulations, and methods of using the same for delivering nucleic acids, such as mRNA.