膜是细胞有机体所必需的,并在细胞保护以及营养的控制和运输中发挥多种作用。最关键的膜性能之一是流动性,这已经被广泛研究,主要使用单组分系统。在这项研究中,我们使用傅里叶变换红外光谱来评估模拟肿瘤和非肿瘤细胞膜的膜组成的多组分支持的脂质双层的热行为,以及大肠杆菌等微生物,铜绿假单胞菌,金黄色葡萄球菌。结果表明,对于肿瘤和非肿瘤膜模型,胆固醇的存在导致转变的协同性丧失。然而,在没有胆固醇的情况下,多组分脂质系统的转变具有S形曲线,其中凝胶和液相明显,并且可以确定主要转变温度。此外,设计多组分脂质系统的可能性表明有可能获得几种微生物模型,包括与金黄色葡萄球菌耐药机制相关的心磷脂含量的变化。最后,研究了多组分脂质系统在确定抗菌肽LL-37的构象变化中的潜在用途。结果表明,LL-37与金黄色葡萄球菌模型相互作用时发生构象变化,而不是红细胞膜模型。结果表明,通过傅立叶变换红外光谱研究多组分脂质系统的用途广泛。
Membranes are essential to cellular organisms, and play several roles in cellular protection as well as in the control and transport of nutrients. One of the most critical membrane properties is fluidity, which has been extensively studied, using mainly single component systems. In this
study, we used Fourier transform infrared spectroscopy to evaluate the thermal behavior of multi-component supported lipid bilayers that mimic the membrane composition of tumoral and non-tumoral cell membranes, as well as microorganisms such as Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus. The results showed that, for tumoral and non-tumoral membrane models, the presence of cholesterol induced a loss of cooperativity of the transition. However, in the absence of cholesterol, the transitions of the multi-component lipid systems had sigmoidal curves where the gel and fluid phases are evident and where main transition temperatures were possible to determine. Additionally, the possibility of designing multi-component lipid systems showed the potential to obtain several microorganism models, including changes in the cardiolipin content associated with the resistance mechanism in Staphylococcus aureus. Finally, the potential use of multi-component lipid systems in the determination of the conformational change of the antimicrobial peptide LL-37 was studied. The results showed that LL-37 underwent a conformational change when interacting with Staphylococcus aureus models, instead of with the erythrocyte membrane model. The results showed the versatile applications of multi-component lipid systems studied by Fourier transform infrared spectroscopy.