色谱 ›› 2025, Vol. 43 ›› Issue (5): 547-555.DOI: 10.3724/SP.J.1123.2024.10017

• 研究论文 • 上一篇    

甘氨酸诱导细菌外膜囊泡分泌的脂质组学分析

宋静远1,2, 齐秀蕾2, 郭怀忠1,*(), 胡良海2,*()   

  1. 1.河北大学药学院, 河北 保定 071002
    2.吉林大学生命科学学院, 吉林 长春 130023
  • 收稿日期:2024-10-20 出版日期:2025-05-08 发布日期:2025-05-07
  • 通讯作者: *E-mail:ghuaizh@aliyun.com(郭怀忠);E-mail:lianghaihu@jlu.edu.cn(胡良海).
  • 基金资助:
    国家自然科学基金(22374056)

Lipidomics analysis of glycine-induced bacterial outer membrane vesicles

SONG Jingyuan1,2, QI Xiulei2, GUO Huaizhong1,*(), HU Lianghai2,*()   

  1. 1. College of Pharmaceutical Sciences, Hebei University, Baoding 071002, China
    2. School of Life Sciences, Jilin University, Changchun 130023, China
  • Received:2024-10-20 Online:2025-05-08 Published:2025-05-07
  • Supported by:
    National Natural Science Foundation of China(22374056)

摘要:

细菌外膜囊泡(outer membrane vesicle, OMV)是由细菌分泌的具有双层磷脂膜结构的外囊泡,携带多种亲本细菌生物活性物质,可作为疾病标志物,因其具有良好的生物相容性,在作为抗癌抗菌药物载体方面也具有很大的潜力。在大肠杆菌培养过程中添加甘氨酸可促进细菌OMV的分泌,但诱导所引起细菌OMV的脂质成分差异未见报道。本研究对甘氨酸诱导前后的细菌OMV的关键质膜组成部分进行脂质组学分析,利用两亲性树枝状聚合物超分子探针对细菌培养上清液进行细菌OMV的捕获,在细菌OMV数量保持一致的条件下,采用甲基叔丁基醚脂质提取法对甘氨酸诱导前后的细菌OMV进行脂质提取。采用超高效液相色谱-离子淌度-飞行时间高分辨质谱仪(UPLC-IMS-QTOF-MS)和MS-DIAL(Mass Spectrometry Data Independent Analysis for Lipidomics)脂质数据分析软件对甘氨酸诱导前后的细菌OMV脂质组成进行分析,确定甘氨酸诱导后细菌OMV关键质膜上的差异脂质种类。研究发现,在大肠杆菌培养过程中添加甘氨酸会引起其大肠杆菌OMV表面和内部脂质成分发生显著变化,神经酰胺(Cer)和溶血磷脂酰胆碱(LPC)的表达呈现出显著升高,双(单酰基甘油)磷酸酯(BMP)的表达显著降低,而甘油三酯(TG)和鞘磷脂(SM)的表达呈现无规律的变化,值得下一步深入探索其调控机制。本研究可为后续的OMV脂质成分深入研究和用于新型药物递送载体的研究提供一定参考。

关键词: 细菌外膜囊泡, 离子淌度质谱, 脂质组学, 甘氨酸

Abstract:

Outer membrane vesicles (OMVs) are nanoparticles with double-phospholipid membrane structures that are secreted by gram-negative bacteria and carry a variety of bioactive substances from parental bacterial cells; consequently, OMVs serve as disease markers. Moreover, bacterial OMVs are potential anticancer- and antibacterial-drug carriers. While the addition of glycine during bacterial culturing promotes the secretion of bacterial OMVs, glycine-induced differences in the lipid compositions of such OMVs have not yet been reported.

In this study, the key plasma membrane components of bacterial OMVs before and after glycine induction were analyzed using lipidomics. Bacterial OMVs were captured from bacterial-culture supernatants using an amphiphilic dendritic polymeric supramolecular probe. Two sets of enriched bacterial OMVs were characterized and their enrichment efficiencies determined, after which the numbers and purities of the OMVs within the samples were determined using a nanofluidic assay. Lipids were extracted using the methyl tert-butyl ether lipid-extraction method when consistent numbers were recorded. The lipid compositions of the bacterial OMVs before and after glycine induction were analyzed using an ultra-performance liquid chromatography-ion mobility spectrometry-quadrupole time-of-flight mass spectrometer (UPLC-IMS-QTOF-MS) and MS-DIAL software. Differential lipid species in the key plasma membranes of the bacterial OMVs following glycine induction were recorded along with their corresponding amounts. Detection was accomplished in positive-ion scanning mode using an ACQUITY UPLC BEH C18 column following UPLC-MS injection, and MSE mass-spectrometry data-acquisition mode. The lipid components in the two groups were determined by combining mass-spectrometric and software-analysis data, which revealed that the addition of glycine to the E. coli Nissle 1917 culture led to two-to-three-times higher concentrations of OMVs than observed for the untreated group under the same culturing and enrichment conditions. Particle numbers measured for the same volume revealed one-order-of-magnitude more bacterial OMVs after induction than before, with the treated group exhibiting slightly larger particles (on average); however, these particles were better dispersed and less likely to aggregate. The identified lipid components were categorized to determine the amount of each lipid type. Differentially expressed lipids were subsequently screened according to experimental conditions; significantly different expression levels were observed following glycine induction, with 820 lipids identified among the 10165 components detected. The lipid classes were ranked in order of quantity as: glycerolipids (GL), fatty acids (FA), sphingolipids (SP), glycerophospholipids (GP), saccharolipids (SL), and sterol lipids (ST), among which 463 GL lipid fractions (56.4% of all characterized lipids) were recorded. The ST lipid fraction contained the fewest members (10) and qualitative lipids were determined to make up 1.2% of the total. The addition of glycine to the E. coli culture was found to induce significant changes in the surface and internal lipid composition of the E. coli OMVs, with significantly more ceramide (Cer) and lysophosphatidyl choline (LPC), and significantly less bis(monoacylglycerol)phosphate (BMP) expressed. Partial triglyceride (TG) and sphingomyelin (SM) were irregularly expressed following glycine treatment, with equal amounts of up- and down-regulated lipids observed. This study provides a reference for subsequent in-depth studies into the lipid compositions of OMVs and their use as novel drug-delivery carriers. The expression of TGs and SM showed irregular changes, which is worthy of the next step of in-depth exploration of its regulatory mechanism, and the present study provides a certain reference for the subsequent in-depth study of the lipid composition of OMV and its use in the study of novel drug delivery carriers.

Key words: bacterial outer membrane vesicles, ion mobility mass spectrometry, lipidomics, glycine

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