Rahul K Das, Andrey N Kuzmin, Artem Pliss, Supriya D Mahajan, Shobha Shukla, Paras N Prasad
{"title":"Fentanyl-Induced Transformations in Composition of Lipid Droplets in Central Nervous System Cells revealed by Ramanomics.","authors":"Rahul K Das, Andrey N Kuzmin, Artem Pliss, Supriya D Mahajan, Shobha Shukla, Paras N Prasad","doi":"10.1016/j.jlr.2025.100827","DOIUrl":null,"url":null,"abstract":"<p><p>Quantitative characterization of the transformations of subcellular molecular environment in response to fentanyl exposure in human microglia and astrocytes is warranted to provide insight into the regulation of neuroinflammatory responses and neural survival in the scenario of opiate drug addiction. Cytoplasmic lipid droplets (LD) act as depot for exogeneous hydrophobic molecules, such as fentanyl, which can lead to increased drug accumulation and alteration of their metabolism. In the present work, we have used an emerging Ramanomics technique that combines quantitative micro-Raman spectrometry with biomolecular component analysis to unravel fentanyl induced changes in concentrations of phospholipids, sterols, glycogen, sphingomyelin, phosphocholine as well as RNA and proteins, in the LDs of microglia and astrocytes. To our knowledge, this study represents, the first report on the effect of fentanyl overdose in the biomolecular composition of distinct organelles in single live cells, towards therapeutics advances to treat fentanyl addiction and development of diagnostic assays of illicit opiate abuse.</p>","PeriodicalId":16209,"journal":{"name":"Journal of Lipid Research","volume":" ","pages":"100827"},"PeriodicalIF":5.0000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Lipid Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.jlr.2025.100827","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Quantitative characterization of the transformations of subcellular molecular environment in response to fentanyl exposure in human microglia and astrocytes is warranted to provide insight into the regulation of neuroinflammatory responses and neural survival in the scenario of opiate drug addiction. Cytoplasmic lipid droplets (LD) act as depot for exogeneous hydrophobic molecules, such as fentanyl, which can lead to increased drug accumulation and alteration of their metabolism. In the present work, we have used an emerging Ramanomics technique that combines quantitative micro-Raman spectrometry with biomolecular component analysis to unravel fentanyl induced changes in concentrations of phospholipids, sterols, glycogen, sphingomyelin, phosphocholine as well as RNA and proteins, in the LDs of microglia and astrocytes. To our knowledge, this study represents, the first report on the effect of fentanyl overdose in the biomolecular composition of distinct organelles in single live cells, towards therapeutics advances to treat fentanyl addiction and development of diagnostic assays of illicit opiate abuse.
期刊介绍:
The Journal of Lipid Research (JLR) publishes original articles and reviews in the broadly defined area of biological lipids. We encourage the submission of manuscripts relating to lipids, including those addressing problems in biochemistry, molecular biology, structural biology, cell biology, genetics, molecular medicine, clinical medicine and metabolism. Major criteria for acceptance of articles are new insights into mechanisms of lipid function and metabolism and/or genes regulating lipid metabolism along with sound primary experimental data. Interpretation of the data is the authors’ responsibility, and speculation should be labeled as such. Manuscripts that provide new ways of purifying, identifying and quantifying lipids are invited for the Methods section of the Journal. JLR encourages contributions from investigators in all countries, but articles must be submitted in clear and concise English.