Autofluorescence Flow Cytometry for Macrophages Analysis: Polarization, Stress Conditions, and Atherosclerosis Model.

IF 2.3
Boris Yakimov, Polina Vishnyakova, Ustina Bagrianskaia, Elena Gantsova, Alexander Markin, Timur Fatkhudinov, Evgeny Shirshin
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Abstract

Macrophages (MΦs) are integral cellular components responsible for immune response and tissue homeostasis. Evaluation of their pro-inflammatory (M1) and anti-inflammatory (M2) polarization states, along with their metabolic profiles, typically conducted via flow cytometry, is crucial for assessing the immune status of an organism. Traditional flow cytometry relies on extrinsic fluorescent labels, which may interfere with cellular function. Here, using multispectral flow cytometry, we demonstrate how the autofluorescence profiles of human monocyte-derived macrophages change under M1/M2 polarization, hypoxia and starvation stress factors, and interaction with low-density lipoproteins as an atherosclerosis model. Extending these findings to clinical samples, we demonstrated that leukocyte AF profiles could distinguish atherosclerosis patients from healthy controls with a ROC-AUC of 0.84 ± 0.09, advanced predictive models. These findings highlight AF as a sensitive, non-invasive tool for assessing macrophage activation and metabolic states, with potential applications in atherosclerosis diagnostics and immune cell phenotyping.

自体荧光流式细胞术用于巨噬细胞分析:极化、应激条件和动脉粥样硬化模型。
巨噬细胞(MΦs)是负责免疫反应和组织稳态的整体细胞成分。评估它们的促炎(M1)和抗炎(M2)极化状态,以及它们的代谢谱,通常通过流式细胞术进行,对于评估生物体的免疫状态至关重要。传统的流式细胞术依赖于外源性荧光标记,这可能会干扰细胞功能。在这里,我们使用多光谱流式细胞术,展示了人类单核细胞来源的巨噬细胞在M1/M2极化、缺氧和饥饿应激因素以及与低密度脂蛋白相互作用下的自身荧光谱变化。将这些发现扩展到临床样本,我们证明白细胞房颤谱可以区分动脉粥样硬化患者和健康对照,ROC-AUC为0.84±0.09,这是先进的预测模型。这些发现强调了AF是一种敏感的、非侵入性的巨噬细胞激活和代谢状态评估工具,在动脉粥样硬化诊断和免疫细胞表型分析中具有潜在的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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