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An Expandable Mechanopharmaceutical Device (3): a Versatile Raman Spectral Cytometry Approach to Study the Drug Cargo Capacity of Individual Macrophages.
LaLone, Vernon; Mourão, Márcio A; Standiford, Theodore J; Raghavendran, Krishnan; Shedden, Kerby; Stringer, Kathleen A; Rosania, Gus R.
Afiliação
  • LaLone V; Department of Pharmaceutical Sciences, University of Michigan College of Pharmacy, Ann Arbor, Michigan, 48109, USA.
  • Mourão MA; Consulting for Statistics, Computing, and Analytics Research (CSCAR) Center, University of Michigan, Ann Arbor, Michigan, 48109, USA.
  • Standiford TJ; Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, Michigan, 48109, USA.
  • Raghavendran K; Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, 48109, USA.
  • Shedden K; Consulting for Statistics, Computing, and Analytics Research (CSCAR) Center, University of Michigan, Ann Arbor, Michigan, 48109, USA.
  • Stringer KA; Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, Michigan, 48109, USA.
  • Rosania GR; Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, 48109, USA.
Pharm Res ; 36(1): 2, 2018 Nov 06.
Article em En | MEDLINE | ID: mdl-30402713
ABSTRACT

PURPOSE:

To improve cytometric phenotyping abilities and better understand cell populations with high interindividual variability, a novel Raman-based microanalysis was developed to characterize macrophages on the basis of chemical composition, specifically to measure and characterize intracellular drug distribution and phase separation in relation to endogenous cellular biomolecules.

METHODS:

The microanalysis was developed for the commercially-available WiTec alpha300R confocal Raman microscope. Alveolar macrophages were isolated and incubated in the presence of pharmaceutical compounds nilotinib, chloroquine, or etravirine. A Raman data processing algorithm was specifically developed to acquire the Raman signals emitted from single-cells and calculate the signal contributions from each of the major molecular components present in cell samples.

RESULTS:

Our methodology enabled analysis of the most abundant biochemicals present in typical eukaryotic cells and clearly identified "foamy" lipid-laden macrophages throughout cell populations, indicating feasibility for cellular lipid content analysis in the context of different diseases. Single-cell imaging revealed differences in intracellular distribution behavior for each drug; nilotinib underwent phase separation and self-aggregation while chloroquine and etravirine accumulated primarily via lipid partitioning.

CONCLUSIONS:

This methodology establishes a versatile cytometric analysis of drug cargo loading in macrophages requiring small numbers of cells with foreseeable applications in toxicology, disease pathology, and drug discovery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Macrófagos Limite: Animals Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Macrófagos Limite: Animals Idioma: En Ano de publicação: 2018 Tipo de documento: Article