The Potency Chains of Events for mRNA/LNP Therapeutics
- skwolk
- 12 hours ago
- 2 min read
Steve Wolk, September 1, 2025
There are two key chains of events that can impact therapeutic potency. A break in the chain at any stage can cause reduction or catastrophic failure of therapeutic potency.
The first is the manufacturing chain of events, or the cold chain path, which may include any or all of the following steps:
Manufacturer --> Distributor --> Wholesaler --> Pharmacist --> Patient
Factors affecting potency include:
Temperature
Light exposure
Air (oxidation) exposure
Moisture (for lyo’d product)
Contamination exposure
Understanding the impact of each of these factors will inform the development of a good process, and monitoring will help ensure that integrity is maintained. Important steps where monitoring/characterization should be considered include:
Manufacturing Steps
cargo prep (gRNA, mRNA, possibly template)
assembly of LNP
Storage
storage stability studies to inform
monitoring
Transportation
shipping stability studies
monitoring
Inventory management
The second potency chain is the in vivo chain of events, which is exquisitely complex, and includes each of the following steps:
Circulation Steps
protein corona formation
biodistribution
Cell Penetration/Uptake
endocytosis
endosomal escape
internal organization of LNP cargo components
intracellular sequestration
degradation (inside the endosome, in the cytoplasm, and in sequestered states)
Translation Efficiency
transport to the ribosome
endogenous protein expression regulation mechanisms
expression of full-length, correctly folded protein
Immune Activation/Impact on Each Step
opsonization in circulation?
reduction/shutdown of translation machinery resulting from immune response
For a CRISPR-based mRNA/LNP therapeutic, the following additional steps come into play:
Formation of the RNP in cytoplasm
Transport of the RNP to the nucleus via NLS
Unwinding chromatin
Cleavage at locus
Considering how many opportunities there are for failure, it’s truly amazing that this in vivo pathway works, and the current data makes it clear that it does.
It would be ideal to have analytics at each step of the chains in order to correctly identify and engineer past failure points. For the in vivo chain, analytics at each step are not yet available, but the science continues to advance every day.
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