Carpenter Jana M, Hynds Hannah M, Bimpeh Kingsley, Hines Kelly M
Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States.
ACS Meas Sci Au. 2023 Dec 5;4(1):104-116. doi: 10.1021/acsmeasuresciau.3c00051. eCollection 2024 Feb 21.
Although MALDI-ToF platforms for microbial identifications have found great success in clinical microbiology, the sole use of protein fingerprints for the discrimination of closely related species, strain-level identifications, and detection of antimicrobial resistance remains a challenge for the technology. Several alternative mass spectrometry-based methods have been proposed to address the shortcomings of the protein-centric approach, including MALDI-ToF methods for fatty acid/lipid profiling and LC-MS profiling of metabolites. However, the molecular diversity of microbial pathogens suggests that no single "ome" will be sufficient for the accurate and sensitive identification of strain- and susceptibility-level profiling of bacteria. Here, we describe the development of an alternative approach to microorganism profiling that relies upon both metabolites and lipids rather than a single class of biomolecule. Single-phase extractions based on butanol, acetonitrile, and water (the BAW method) were evaluated for the recovery of lipids and metabolites from Gram-positive and -negative microorganisms. We found that BAW extraction solutions containing 45% butanol provided optimal recovery of both molecular classes in a single extraction. The single-phase extraction method was coupled to hydrophilic interaction liquid chromatography (HILIC) and ion mobility-mass spectrometry (IM-MS) to resolve similar-mass metabolites and lipids in three dimensions and provide multiple points of evidence for feature annotation in the absence of tandem mass spectrometry. We demonstrate that the combined use of metabolites and lipids can be used to differentiate microorganisms to the species- and strain-level for four of the ESKAPE pathogens (, , , and ) using data from a single ionization mode. These results present promising, early stage evidence for the use of multiomic signatures for the identification of microorganisms by liquid chromatography, ion mobility, and mass spectrometry that, upon further development, may improve upon the level of identification provided by current methods.
尽管用于微生物鉴定的基质辅助激光解吸电离飞行时间(MALDI-ToF)平台在临床微生物学中取得了巨大成功,但仅使用蛋白质指纹图谱来区分密切相关的物种、进行菌株水平的鉴定以及检测抗菌药物耐药性,仍然是该技术面临的一项挑战。已经提出了几种基于质谱的替代方法来解决以蛋白质为中心的方法的缺点,包括用于脂肪酸/脂质谱分析的MALDI-ToF方法和代谢物的液相色谱-质谱(LC-MS)分析。然而,微生物病原体的分子多样性表明,没有单一的“组学”足以准确、灵敏地鉴定细菌的菌株水平和药敏水平特征。在此,我们描述了一种微生物特征分析的替代方法的开发,该方法依赖于代谢物和脂质,而不是单一类别的生物分子。评估了基于丁醇、乙腈和水的单相萃取(BAW方法)从革兰氏阳性和阴性微生物中回收脂质和代谢物的情况。我们发现,含有45%丁醇的BAW萃取溶液在单次萃取中能实现两种分子类别的最佳回收。将单相萃取方法与亲水相互作用液相色谱(HILIC)和离子淌度-质谱(IM-MS)相结合,以在三维空间中解析质量相似的代谢物和脂质,并在没有串联质谱的情况下为特征注释提供多个证据点。我们证明,使用来自单一电离模式的数据,代谢物和脂质的联合使用可用于区分四种ESKAPE病原体(粪肠球菌、金黄色葡萄球菌、肺炎克雷伯菌和鲍曼不动杆菌)的物种和菌株水平。这些结果为通过液相色谱、离子淌度和质谱使用多组学特征来鉴定微生物提供了有前景的早期证据,经过进一步开发,可能会提高当前方法提供的鉴定水平。