Knab Aline, Giardina Caroline, Grey Shane T, Goldys Ewa M, Campbell Jared M
Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
J Biophotonics. 2025 Jun;18(6):e202400576. doi: 10.1002/jbio.202400576. Epub 2025 Mar 20.
Immunophenotyping provides valuable prognostic and diagnostic information, but is technically complex and expensive. The assessment of autofluorescence is label-free and provides complex information on cell identity. However, research on its application to immunophenotyping has been heterogenous. This systematic review was carried out to identify and synthesise all available evidence on the use of autofluorescence for immunophenotyping. Eighty three full texts were included. There was a focus on neutrophils (20 papers) and macrophages (22 papers) with alveolar macrophages (13 papers) forming a subcategory. Seven studies investigated monocytes, three focused on microglia, two on dendritic cells, five on mast cells, nine on granulocytes, thirteen on eosinophils, one on erythrophagocytic cells, and one on natural killer cells. Eleven studies investigated uncategorised immune cell populations. Translation of findings into clinical immunophenotyping requires the application of reproducible methods, along with clear reporting of excitation and emission parameters, and a greater focus on clinical and primary samples.
免疫表型分析可提供有价值的预后和诊断信息,但技术上复杂且成本高昂。自发荧光评估无需标记,并能提供有关细胞特性的复杂信息。然而,其在免疫表型分析中的应用研究并不统一。本系统综述旨在识别和综合所有关于自发荧光用于免疫表型分析的现有证据。共纳入83篇全文。研究重点为中性粒细胞(20篇论文)和巨噬细胞(22篇论文),其中肺泡巨噬细胞(13篇论文)构成一个子类别。七项研究调查了单核细胞,三项聚焦于小胶质细胞,两项针对树突状细胞,五项研究肥大细胞,九项研究粒细胞,十三项研究嗜酸性粒细胞,一项研究红细胞吞噬细胞,一项研究自然杀伤细胞。十一项研究调查了未分类的免疫细胞群体。将研究结果转化为临床免疫表型分析需要应用可重复的方法,同时清晰报告激发和发射参数,并更加关注临床和原始样本。