Label-free screening of drug-induced liver injury using stimulated Raman scattering microscopy and spectral phasor analysis

Research output: Contribution to journalArticlepeer-review

12 Downloads (Pure)

Abstract

Hepatic toxicity is a leading cause of the termination of clinical trials and the withdrawal of therapeutics following regulatory approval. The detection of drug-induced liver injury (DILI) is therefore of importance to ensure patient safety and the effectiveness of novel small molecules and drugs. DILI encompasses drug-induced steatosis (DIS) and drug-induced phospholipidosis (DIPL) which involve the accumulation of excess intracellular lipids. Here, we develop hyperspectral stimulated Raman scattering (SRS) microscopy as a label-free methodology for discriminating DIS and DIPL in mammalian cell culture. We demonstrate that hyperspectral SRS imaging in tandem with spectral phasor analysis is capable of discriminating DIS and DIPL based on the nature and distribution of intracellular lipids resulting from each process. To demonstrate the practical application of this methodology, we develop a panel of alkyne-tagged propranolol analogues that display varying DILI effects. Using hyperspectral SRS imaging together with spectral phasor analysis, our label-free methodology corroborated the standard fluorescence-based assay for DILI. As a label-free screening method, it offers a convenient and expedient methodology for visualizing hepatotoxicity in cell cultures which could be integrated into the early stages of the drug development process for screening new chemical entities for DILI.

Original languageEnglish
Pages (from-to)10639-10647
Number of pages9
JournalAnalytical Chemistry
Volume96
Issue number26
Early online date18 Jun 2024
DOIs
Publication statusPublished - 2 Jul 2024

Keywords

  • hepatic toxicity
  • liver injury
  • raman scattering

Fingerprint

Dive into the research topics of 'Label-free screening of drug-induced liver injury using stimulated Raman scattering microscopy and spectral phasor analysis'. Together they form a unique fingerprint.

Cite this