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在 750nm 的单一激发波长下,利用多光谱荧光寿命成像显微镜同时评估 NAD(P)H 和黄素。

Simultaneous assessment of NAD(P)H and flavins with multispectral fluorescence lifetime imaging microscopy at a single excitation wavelength of 750 nm.

机构信息

Sechenov First Moscow State Medical University, Laboratory of Clinical Biophotonics, Moscow, Russia.

M.V. Lomonosov Moscow State University, Faculty of Physics, Moscow, Russia.

出版信息

J Biomed Opt. 2024 Oct;29(10):106501. doi: 10.1117/1.JBO.29.10.106501. Epub 2024 Sep 30.

DOI:10.1117/1.JBO.29.10.106501
PMID:39351138
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11440180/
Abstract

SIGNIFICANCE

Autofluorescence characteristics of the reduced nicotinamide adenine dinucleotide and oxidized flavin cofactors are important for the evaluation of the metabolic status of the cells. The approaches that involve a detailed analysis of both spectral and time characteristics of the autofluorescence signals may provide additional insights into the biochemical processes in the cells and biological tissues and facilitate the transition of spectral fluorescence lifetime imaging into clinical applications.

AIM

We present the experiments on multispectral fluorescence lifetime imaging with a detailed analysis of the fluorescence decays and spectral profiles of the reduced nicotinamide adenine dinucleotide and oxidized flavin under a single excitation wavelength aimed at understanding whether the use of multispectral detection is helpful for metabolic imaging of cancer cells.

APPROACH

We use two-photon spectral fluorescence lifetime imaging microscopy. Starting from model solutions, we switched to cell cultures treated by metabolic inhibitors and then studied the metabolism of cells within tumor spheroids.

RESULTS

The use of a multispectral detector in combination with an excitation at a single wavelength of 750 nm allows the identification of fluorescence signals from three components: free and bound NAD(P)H, and flavins based on the global fitting procedure. Multispectral data make it possible to assess not only the lifetime but also the spectral shifts of emission of flavins caused by chemical perturbations. Altogether, the informative parameters of the developed approach are the ratio of free and bound NAD(P)H amplitudes, the decay time of bound NAD(P)H, the amplitude of flavin fluorescence signal, the fluorescence decay time of flavins, and the spectral shift of the emission signal of flavins. Hence, with multispectral fluorescence lifetime imaging, we get five independent parameters, of which three are related to flavins.

CONCLUSIONS

The approach to probe the metabolic state of cells in culture and spheroids using excitation at a single wavelength of 750 nm and a fluorescence time-resolved spectral detection with the consequent global analysis of the data not only simplifies image acquisition protocol but also allows to disentangle the impacts of free and bound NAD(P)H, and flavin components evaluate changes in their fluorescence parameters (emission spectra and fluorescence lifetime) upon treating cells with metabolic inhibitors and sense metabolic heterogeneity within 3D tumor spheroids.

摘要

意义

还原型烟酰胺腺嘌呤二核苷酸(NADH)和氧化黄素辅因子的自发荧光特征对于评估细胞的代谢状态非常重要。涉及对自发荧光信号的光谱和时间特征进行详细分析的方法可以提供对细胞和生物组织中生化过程的更多了解,并促进光谱荧光寿命成像向临床应用的转变。

目的

我们进行了多光谱荧光寿命成像实验,详细分析了在单一激发波长下还原型烟酰胺腺嘌呤二核苷酸(NADH)和氧化黄素的荧光衰减和光谱特性,旨在了解多光谱检测是否有助于癌症细胞的代谢成像。

方法

我们使用双光子光谱荧光寿命成像显微镜。从模型溶液开始,我们切换到经代谢抑制剂处理的细胞培养物,然后研究肿瘤球体内部细胞的代谢。

结果

在 750nm 的单一波长激发下使用多光谱探测器可根据全局拟合程序识别来自三种成分的荧光信号:游离和结合的 NAD(P)H 以及黄素。多光谱数据不仅可以评估寿命,还可以评估黄素发射的光谱位移,这种位移是由化学干扰引起的。总之,所开发方法的信息参数是游离和结合的 NAD(P)H 幅度比、结合的 NAD(P)H 衰减时间、黄素荧光信号幅度、黄素的荧光衰减时间以及黄素发射信号的光谱位移。因此,通过多光谱荧光寿命成像,我们获得了五个独立的参数,其中三个与黄素有关。

结论

使用 750nm 的单一波长激发和荧光时间分辨光谱检测来探测培养细胞和球体的代谢状态,并对数据进行全局分析,不仅简化了图像采集方案,还可以区分游离和结合的 NAD(P)H 和黄素成分,评估用代谢抑制剂处理细胞时它们的荧光参数(发射光谱和荧光寿命)的变化,并感知 3D 肿瘤球体内部的代谢异质性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/474ddef8c383/JBO-029-106501-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/6f6db3ed1bd2/JBO-029-106501-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/68d1ecfdf12b/JBO-029-106501-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/71e380260000/JBO-029-106501-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/2370112f1481/JBO-029-106501-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/474ddef8c383/JBO-029-106501-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/6f6db3ed1bd2/JBO-029-106501-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/68d1ecfdf12b/JBO-029-106501-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/71e380260000/JBO-029-106501-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/2370112f1481/JBO-029-106501-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5026/11440180/474ddef8c383/JBO-029-106501-g005.jpg

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