Lipoprotein Association Fluorometry (LAF) as a Semi-Quantitative Characterization Tool to Assess Extracellular Vesicle-Lipoprotein Binding

IF 14.5 1区 医学 Q1 CELL BIOLOGY
Raluca Ghebosu, Jenifer Pendiuk Goncalves, Nur Indah Fitri, Dalila Iannotta, Mohammad Farouq Sharifpour, Elaina Coleborn, Alex Loukas, Fernando Souza-Fonseca-Guimaraes, Joy Wolfram
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Abstract

Extracellular vesicles (EVs) are biological nanoparticles that play important roles in (patho)physiological processes and are promising new therapeutic and diagnostic tools. Recent evidence suggests that other circulating biological nanoparticles, primarily lipoproteins, bind to EVs, changing their biological identity. Such binding has been demonstrated with complex qualitative techniques, such as cryogenic transmission electron microscopy. There is a need to rapidly and simply quantify EV-lipoprotein binding, as such complexes could have major implications for EV biology and medical applications. This study developed lipoprotein association fluorometry (LAF; based on fluorescent lipophilic indocarbocyanine dyes), as a first-of-its-kind, simple and quick assay to assess EV binding to lipoproteins. The LAF assay was validated with synthetic nanoparticles, small molecules, polymers and proteins that display known interactions with lipoproteins. The LAF assay demonstrates that EVs from various human and non-human (nematode and bacteria) sources bind to very-low-density lipoprotein (VLDL) and low-density lipoprotein (LDL). Notably, EVs derived from cancerous cells displayed substantially increased binding to VLDL, LDL and plasma compared to EVs from normal cells. Additionally, the LAF assay revealed that EVs from metastatic cancer cells bound to VLDL to a greater extent than those from corresponding patient-matched non-metastatic cancer cells. On the contrary, EVs displayed minimal binding to high-density lipoprotein (HDL). Taken together, the LAF assay is capable of measuring EV-lipoprotein binding in a simple, rapid and semi-quantitative manner, leading to new opportunities to probe EV biology and develop novel therapeutics, and diagnostics.

Abstract Image

脂蛋白关联荧光法(LAF)作为评估细胞外囊泡-脂蛋白结合的半定量表征工具。
细胞外囊泡(EVs)是一种生物纳米颗粒,在病理生理过程中起着重要作用,是一种有前景的新型治疗和诊断工具。最近的证据表明,其他循环的生物纳米颗粒,主要是脂蛋白,与电动汽车结合,改变其生物学特性。这种结合已被证明与复杂的定性技术,如低温透射电子显微镜。有必要快速和简单地量化EV-脂蛋白结合,因为这种复合物可能对EV生物学和医学应用具有重大意义。本研究开发了脂蛋白关联荧光法(LAF,基于荧光亲脂性吲哚碳菁染料),这是一种简便快速的方法,可用于评估EV与脂蛋白的结合。LAF实验用合成纳米颗粒、小分子、聚合物和已知与脂蛋白相互作用的蛋白质进行了验证。LAF分析表明,来自各种人类和非人类(线虫和细菌)来源的ev与极低密度脂蛋白(VLDL)和低密度脂蛋白(LDL)结合。值得注意的是,与来自正常细胞的ev相比,来自癌细胞的ev与VLDL、LDL和血浆的结合明显增加。此外,LAF分析显示,来自转移性癌细胞的ev与VLDL的结合程度高于来自相应患者匹配的非转移性癌细胞的ev。相反,ev与高密度脂蛋白(HDL)的结合最小。总之,LAF分析能够以一种简单、快速和半定量的方式测量EV-脂蛋白结合,为探索EV生物学和开发新的治疗方法和诊断提供了新的机会。
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来源期刊
Journal of Extracellular Vesicles
Journal of Extracellular Vesicles Biochemistry, Genetics and Molecular Biology-Cell Biology
CiteScore
27.30
自引率
4.40%
发文量
115
审稿时长
12 weeks
期刊介绍: The Journal of Extracellular Vesicles is an open access research publication that focuses on extracellular vesicles, including microvesicles, exosomes, ectosomes, and apoptotic bodies. It serves as the official journal of the International Society for Extracellular Vesicles and aims to facilitate the exchange of data, ideas, and information pertaining to the chemistry, biology, and applications of extracellular vesicles. The journal covers various aspects such as the cellular and molecular mechanisms of extracellular vesicles biogenesis, technological advancements in their isolation, quantification, and characterization, the role and function of extracellular vesicles in biology, stem cell-derived extracellular vesicles and their biology, as well as the application of extracellular vesicles for pharmacological, immunological, or genetic therapies. The Journal of Extracellular Vesicles is widely recognized and indexed by numerous services, including Biological Abstracts, BIOSIS Previews, Chemical Abstracts Service (CAS), Current Contents/Life Sciences, Directory of Open Access Journals (DOAJ), Journal Citation Reports/Science Edition, Google Scholar, ProQuest Natural Science Collection, ProQuest SciTech Collection, SciTech Premium Collection, PubMed Central/PubMed, Science Citation Index Expanded, ScienceOpen, and Scopus.
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