UHPLC-MS-based HDAC Assay Applied to Bio-guided Microfractionation of Fungal Extracts

Vincent Zwick1, Pierre-Marie Allard1, Lucie Ory1

  • 1School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, CMU - Rue Michel Servet 1, 1211, Geneva, 11, Switzerland.

Abstract

Insights

A new mass spectrometry (MS)-based assay effectively identifies selective histone deacetylase (HDAC) inhibitors from fungal extracts. This method overcomes limitations of fluorescence assays, enabling discovery of novel cancer drug candidates.

Area of Science:

  • Biochemistry
  • Natural Product Chemistry
  • Pharmacology

Background:

  • Histone deacetylases (HDAC) are crucial targets in cancer therapy, with several FDA-approved inhibitors.
  • Naturally occurring fungal metabolites represent a promising source of novel HDAC inhibitors for drug development.

Purpose of the Study:

  • To develop and optimize an enzyme assay for the bio-guided identification of HDAC inhibitors from fungal strains.
  • To compare fluorescence-based and MS-based assays for efficiency and accuracy in identifying HDAC inhibitors.

Main Methods:

  • Comparative analysis of fluorescence and MS-based HDAC enzymatic assays during bio-guided fractionation of Penicillium griseofulvum.
  • Optimization of the MS-based approach for evaluating HDAC isoform selectivity (HDAC1 and HDAC6).

Main Results:

  • Fluorescence assays exhibited drawbacks due to native fluorescence and trypsin inhibitory compounds in extracts.
  • The MS-based method successfully isolated gliocladride C (HDAC1 selective) and salirepol (HDAC6 selective) from P. griseofulvum.
  • The activity and presence of these selective inhibitors in P. griseofulvum were reported for the first time.

Conclusions:

  • The UHPLC-ESI-MS/MS-based method with specific HDAC isoforms is effective for isolating selective HDAC inhibitors via bio-guided fractionation of fungal strains.
  • This MS-based assay minimizes interferences from natural products compared to traditional fluorescence-based methods.

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