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1.
J Cyst Fibros ; 19(2): 203-210, 2020 03.
Artículo en Inglés | MEDLINE | ID: mdl-31501051

RESUMEN

BACKGROUND: Defective macrophage phagolysosomal acidification is implicated in numerous lung diseases including Cystic Fibrosis (CF) and may contribute to defective pathogen killing. Conflicting reports relating to phagolysosomal pH in CF macrophages have been published, in part related to the use of pH-sensitive fluorescent probes where potential inadequacies in experimental design can be a contributing factor (e.g. employing probes with incorrect pKa for the cellular compartment of interest). We developed a reliable method to quantify macrophage phagolysosomal pH using surface-enhanced Raman spectroscopy-based nanosensors. METHODS: Monocyte-derived macrophages from CF and healthy control participants were incubated with nanosensors. Live cell imaging identified phagocytosed nanosensors, and surface-enhanced Raman spectroscopy was performed using para-mercaptobenzoic acid functionalised gold nanoparticles which produce Raman spectra that change predictably with their environmental pH. Conventional fluorescence spectroscopy was carried out in comparison. Nanosensor localisation to phagolysosomes was confirmed by transmission electron microscopy. RESULTS: Nanosensors were actively phagocytosed by macrophages into phagolysosomes and acidification occurred rapidly and remained stable for at least 60 min. There was no difference in phagolysosomal pH between healthy control and CF macrophages (5.41 ±â€¯0.11 vs. 5.41 ±â€¯0.20, p > .9999), further confirmed by inhibiting Cystic Fibrosis Transmembrane Conductance Regulator in healthy control monocyte-derived macrophages. CONCLUSIONS: Optical nanosensors accurately measure macrophage phagolysosomal pH and demonstrate no phagolysosomal acidification defect in human CF monocyte-derived macrophages. Further studies using alveolar macrophages could extend the impact of our findings. Nanosensors represent a novel and precise means to measure organelle functions with widespread potential for the study and monitoring of several lung diseases.


Asunto(s)
Fibrosis Quística , Macrófagos Alveolares , Fagosomas , Espectrometría Raman , Adulto , Fenómenos Bioquímicos , Fibrosis Quística/patología , Fibrosis Quística/fisiopatología , Regulador de Conductancia de Transmembrana de Fibrosis Quística/genética , Femenino , Colorantes Fluorescentes , Humanos , Concentración de Iones de Hidrógeno , Macrófagos Alveolares/química , Macrófagos Alveolares/fisiología , Masculino , Nanopartículas del Metal , Nanotecnología/instrumentación , Nanotecnología/métodos , Fagocitosis , Fagosomas/química , Fagosomas/microbiología , Espectrometría Raman/instrumentación , Espectrometría Raman/métodos
2.
Appl Spectrosc ; 67(12): 1408-16, 2013 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-24359655

RESUMEN

This paper describes the application of Raman spectroscopy to whole hair fibers. Previously this has proved difficult because the hairs are relatively opaque, and spatial resolution diminishes with depth because of the change in refractive index. A solution is to couple confocal Raman with multivariate curve resolution (MCR) data analysis, which separates spectral differences with depth despite this reduction in resolution. Initially, it is shown that the cuticle can be separated from the cortex, showing the differences in the proteins, which can then be plotted as a function of depth, with the cuticle factor being seen only at the surface as expected. Hairs that had been treated in different ways, e.g., by bleaching, treatment with the active molecule resorcinol followed by rinsing and treatment with a full hair care product, were also examined. In all cases, changes to the hair are identified and are associated with specific parts of the fiber. Since the hair fiber is kept intact, it can be repeatedly treated and measured, hence multistep treatment processes can be followed. This method expands the potential use of Raman spectroscopy in hair research.


Asunto(s)
Cabello/química , Procesamiento de Imagen Asistido por Computador/métodos , Espectrometría Raman/métodos , Animales , Bovinos , Glicerol/farmacología , Cabello/efectos de los fármacos , Blanqueadores del Pelo/farmacología , Humanos , Peróxidos/farmacología , Resorcinoles/farmacología
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