Profiling RNA metabolism to understand tissue and subcellular clearance of therapeutic RNA

Harvey Andersen1, Ryan Hill1, Alec Bell1

  • 1Drug Disposition Laboratory, Eli Lilly and Company, Indianapolis, Indiana.

Insights

Metabolic clearance impacts RNA therapeutic durability. Researchers quantified nuclease activity in rat tissues, revealing tissue-specific patterns crucial for developing more effective RNA therapeutics with improved pharmacokinetics.

Area of Science:

  • Pharmacology
  • Biochemistry
  • Molecular Biology

Background:

  • RNA therapeutics show clinical promise for durable pharmacodynamic responses.
  • Metabolic clearance in tissues is a key factor determining dosing and therapeutic durability.
  • Understanding RNA metabolic clearance mechanisms is essential for optimizing RNA drug development.

Purpose of the Study:

  • To quantify the catalytic efficiency of major ribonuclease classes (3'-exonucleases, 5'-exonucleases, endonucleases) in various rat tissues.
  • To establish a robust platform for analyzing RNA metabolic clearance mechanisms.
  • To provide insights into the development of more predictable siRNA therapeutics.

Main Methods:

  • Utilized novel fluorescent RNA probes to quantify nuclease activity in S9 fractions from different rat tissues.
  • Validated probe specificity using recombinant nucleases and rat liver S9 fractions.
  • Performed comparative degradation studies of a model siRNA in different rat liver subcellular fractions (homogenate, S9, tritosomes).

Main Results:

  • Demonstrated tissue-specific variations in nuclease activity, with kidney, muscle, and plasma exhibiting high activity for specific nuclease classes.
  • Identified divergent metabolic profiles for double-stranded and single-stranded RNA in different subcellular compartments.
  • Showcased distinct nuclease activities and abundance patterns across tissues and compartments.

Conclusions:

  • Provided critical mechanistic insights into RNA metabolism and clearance.
  • Established a robust platform for improving the development and predictability of siRNA therapeutics.
  • Findings enable the discovery of novel RNA therapeutics with enhanced pharmacokinetic properties.

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