Liposomes - Human phagocytes interplay in whole blood: effect of liposome design

IF 4.7 4区 医学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Miriam Giambelluca PhD , Elena Markova MPharm , Claire Louet PhD , Bjørg Steinkjer MSc , Rune Sundset PhD , Nataša Škalko-Basnet PhD , Sjoerd Hak PhD
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引用次数: 0

Abstract

Nanomedicine holds immense potential for therapeutic manipulation of phagocytic immune cells. However, in vitro studies often fail to accurately translate to the complex in vivo environment. To address this gap, we employed an ex vivo human whole-blood assay to evaluate liposome interactions with immune cells. We systematically varied liposome size, PEG-surface densities and sphingomyelin and ganglioside content. We observed differential uptake patterns of the assessed liposomes by neutrophils and monocytes, emphasizing the importance of liposome design. Interestingly, our results aligned closely with published in vivo observations in mice and patients. Moreover, liposome exposure induced changes in cytokine release and cellular responses, highlighting the potential modulation of immune system. Our study highlights the utility of human whole-blood models in assessing nanoparticle-immune cell interactions and provides insights into liposome design for modulating immune responses.

Abstract Image

脂质体-人类吞噬细胞在全血中的相互作用:脂质体设计的影响。
纳米医学在吞噬免疫细胞的治疗操作方面具有巨大的潜力。然而,体外研究往往无法准确地转化为复杂的体内环境。为了解决这一差距,我们采用离体人类全血测定法来评估脂质体与免疫细胞的相互作用。我们系统地改变脂质体大小、PEG表面密度、鞘磷脂和神经节苷脂含量。我们观察了中性粒细胞和单核细胞对评估脂质体的不同摄取模式,强调了脂质体设计的重要性。有趣的是,我们的研究结果与已发表的小鼠和患者体内观察结果非常一致。此外,脂质体暴露诱导细胞因子释放和细胞反应的变化,突出了免疫系统的潜在调节。我们的研究强调了人类全血模型在评估纳米颗粒免疫细胞相互作用方面的实用性,并为调节免疫反应的脂质体设计提供了见解。
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来源期刊
CiteScore
8.10
自引率
3.60%
发文量
104
审稿时长
4.6 months
期刊介绍: Nanomedicine: Nanotechnology, Biology and Medicine (NBM) is an international, peer-reviewed journal presenting novel, significant, and interdisciplinary theoretical and experimental results related to nanoscience and nanotechnology in the life and health sciences. Content includes basic, translational, and clinical research addressing diagnosis, treatment, monitoring, prediction, and prevention of diseases.
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