Causality Analysis of Protein Corona Composition: Phosphatidylcholine-Enhances Plasma Proteome Profiling by Proteomics

Arshia Rafieioskouei, Kenneth Rogale, Amirata Saei Dibavar, Morteza Mahmoudi, Borzoo Bonakdarpour
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Abstract

The study of the protein corona, the immediate and evolving biomolecular coating that forms on the surface of nanoparticles when exposed to a biological environment, is a crucial area in nanomedicine. This phenomenon significantly influences the behavior, functionality, and biological interactions of nanoparticles with biosystems. Until now, conclusions regarding the role of the protein corona in specific biological applications have been based on establishing correlation rather than causation. By understanding causality, researchers can predict how changes in nanoparticle properties or biological conditions will affect protein corona composition, in turn affecting the nanoparticle interactions with the biosystems and their applications. This predictive capability is essential for designing nanoparticles with specific characteristics tailored for therapeutic and diagnostic nanomedicine applications. Here, we explore the concept of actual causality (by Halpern and Pearl) to mathematically prove how various small molecules, including metabolites, lipids, vitamins, and nutrients, spiked into plasma can induce diverse protein corona patterns on identical nanoparticles. This approach significantly enhances the depth of plasma proteome profiling. Our findings reveal that among the various spiked small molecules, phosphatidylcholine was the actual cause of the observed increase in the proteomic depth of the plasma sample. By considering the concept of causality in the field of protein corona, the nanomedicine community can substantially improve their ability to design safer and more efficient nanoparticles for both diagnostic and therapeutic purposes.
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蛋白质电晕组成的因果关系分析:通过蛋白质组学分析磷脂酰胆碱增强血浆蛋白质组图谱
蛋白质电晕是纳米粒子暴露于生物环境时在其表面形成的直接和不断演变的生物分子涂层,对蛋白质电晕的研究是纳米医学的一个重要领域。这一现象极大地影响了纳米粒子的行为、功能以及与生物系统的生物相互作用。到目前为止,有关蛋白质电晕在特定生物应用中的作用的结论都是基于建立相关性而非因果关系。通过了解因果关系,研究人员可以预测纳米粒子特性或生物条件的变化将如何影响蛋白质电晕的组成,进而影响纳米粒子与生物系统的相互作用及其应用。这种预测能力对于设计具有特定特性的纳米粒子以用于治疗和诊断纳米医学应用至关重要。在这里,我们探索了实际因果关系的概念(由 Halpern 和 Pearl 提出),以数学方法证明了各种小分子(包括代谢物、脂类、维生素和营养物质)如何通过添加到血浆中诱导相同纳米粒子上的不同蛋白质电晕模式。这种方法大大提高了血浆蛋白质组分析的深度。我们的研究结果表明,在各种添加的小分子中,磷脂酰胆碱是导致血浆样本蛋白质组深度增加的真正原因。通过考虑蛋白质电晕领域的因果关系概念,纳米医学界可以大大提高设计更安全、更高效的纳米粒子的能力,从而达到诊断和治疗的目的。
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