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Raman spectroscopic detection of Fentanyl Induced Neuroinflammation

  • SUNY Albany
  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We applied Raman spectral analysis to non-destructively monitor apoptosis in fentanyl-treated microglia provides valuable insight into the chemical dynamics within these cells and underscores critical pathways contributing to fentanyl-associated neurotoxicity. Fentanyl is a powerful opioid analgesic; however, its misuse can lead to addiction and physical dependence, significantly elevating the chances of overdose and fatality. Due to its high lipophilicity, fentanyl accumulates more readily in brain tissue, intensifying central nervous system (CNS) toxicity and impairing microglial function. These effects can ultimately trigger cell death through apoptosis, contributing to substantial neurocognitive decline in individuals who abuse fentanyl. This study aimed to investigate the biochemical alterations associated with fentanyl-induced apoptosis in human microglia by utilizing Raman spectroscopy. Our findings show that exposure of microglia to fentanyl led to notable modifications in multiple lipid structures and fentanyl-induced rise in mitochondrial membrane potential suggests enhanced cellular stress, marking the progression toward apoptosis.

Original languageEnglish
Title of host publicationLabel-free Biomedical Imaging and Sensing, LBIS 2026
EditorsNatan T. Shaked, Oliver Hayden
PublisherSPIE
ISBN (Electronic)9781510696396
DOIs
StatePublished - Mar 5 2026
EventLabel-free Biomedical Imaging and Sensing, LBIS 2026 - San Francisco, United States
Duration: Jan 18 2026Jan 21 2026

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume13863
ISSN (Print)1605-7422
ISSN (Electronic)2410-9045

Conference

ConferenceLabel-free Biomedical Imaging and Sensing, LBIS 2026
Country/TerritoryUnited States
CitySan Francisco
Period01/18/2601/21/26

Keywords

  • Apoptosis
  • Fentanyl
  • Microglia
  • Neuroinflammation
  • Raman spectroscopy

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