Using measures of metabolic flux to align screening and clinical development: Avoiding pitfalls to enable

Santhosh Satapati1, Daniel P Downes2, Daniel Metzger1

  • 1Merck & Co., Inc, 213 E. Grand Ave, South San Francisco, CA, 94080, USA.

Insights

Stable isotope labeled substrates enable direct enzyme activity measurement, overcoming background interference for drug development. Metabolic flux analysis connects screening to preclinical studies, ensuring reliable data interpretation and biomarker development.

Area of Science:

  • Biochemistry
  • Enzyme kinetics
  • Drug discovery

Background:

  • Enzyme activity screening relies on substrate-product conversion measurements.
  • Endogenous compounds and detection system interference limit assay accuracy.
  • Stable isotope labeled substrates offer a direct readout, bypassing background noise.

Purpose of the Study:

  • To demonstrate the utility of stable isotope labeled substrates in enzyme activity assays.
  • To exemplify metabolic flux analysis in connecting drug development stages using a lipid biology case study.
  • To highlight strategies for reliable data interpretation in various biological contexts.

Main Methods:

  • Utilizing stable isotope labeled substrates for direct enzyme activity measurement.
  • Applying metabolic flux analysis to track substrate-product conversions.
  • Developing correction strategies for tracer dilution and isotopic exchange in cell-based and in vivo studies.

Main Results:

  • Stable isotope kinetic assays facilitate early screening and hit progression monitoring.
  • Metabolic flux analysis can bridge primary screening with preclinical development.
  • Identified challenges and solutions for accurate in vivo metabolic flux measurements.

Conclusions:

  • Stable isotope labeled substrates provide a robust method for enzyme activity assessment.
  • Metabolic flux analysis integrates biochemical screening with pharmacodynamic mechanisms.
  • This approach supports in vivo biomarker development and connects structure-activity relationships to physiological outcomes.