Shotgun lipidomics: multidimensional MS analysis of cellular lipidomes

Shotgun lipidomics, comprised of intrasource separation, multidimensional mass spectrometry and computer-assisted array analysis, is an emerging powerful technique in lipidomics. Through effective intrasource separation of predetermined groups of lipid classes based on their intrinsic electrical propensities, analyses of lipids from crude extracts of biologic samples can be directly and routinely performed. Appropriate multidimensional array analysis of lipid pseudomolecular ions and fragments can be performed leading to the identification and quantitation of targeted lipid molecular species. Since most biologic lipids are linear combinations of aliphatic chains, backbones and head groups, a rich repertoire of multiple lipid building blocks present in discrete combinations represent experimental observables that can be computer reconstructed in conjunction with their pseudomolecular ions to directly determine the lipid molecular structures from a lipid extract. Through this approach, dramatic increases in the accessible dynamic range for ratiometric quantitation and discrimination of isobaric molecular species can be achieved without any prior column chromatography or operator-dependent supervision. At its current state of development, shotgun lipidomics can analyze over 20 lipid classes, hundreds of lipid molecular species and more than 95% of the mass content of a cellular lipidome. Thus, understanding the biochemical mechanisms underlying lipid-mediated disease states will be greatly facilitated by the power of shotgun lipidomics.     

脂质组学分析方法进展及其在癌症研究中的应用

脂质占人体内源性代谢物的一半以上,种类繁多,结构复杂,因而具有多种生物功能,与多种生命活动密切相关。脂质组学是代谢组学分支的新兴学科,它可以通过比较不同生理状态下脂质含量的变化,寻找代谢通路中关键的脂质生物标志物,最终揭示脂质在各种生命活动中的作用机制。随着质谱技术的进步,脂质组学在疾病脂类生物标志物的识别、疾病诊断、药物作用机制的研究等方面已展现出广泛的应用前景。本文主要就脂质组学近几年的分析方法进展及其在癌症中的最新应用进行了综述。     

Shotgun lipidomics: multidimensional MS analysis of cellular lipidomes

Shotgun lipidomics, comprised of intrasource separation, multidimensional mass spectrometry and computer-assisted array analysis, is an emerging powerful technique in lipidomics. Through effective intrasource separation of predetermined groups of lipid classes based on their intrinsic electrical propensities, analyses of lipids from crude extracts of biologic samples can be directly and routinely performed. Appropriate multidimensional array analysis of lipid pseudomolecular ions and fragments can be performed leading to the identification and quantitation of targeted lipid molecular species. Since most biologic lipids are linear combinations of aliphatic chains, backbones and head groups, a rich repertoire of multiple lipid building blocks present in discrete combinations represent experimental observables that can be computer reconstructed in conjunction with their pseudomolecular ions to directly determine the lipid molecular structures from a lipid extract. Through this approach, dramatic increases in the accessible dynamic range for ratiometric quantitation and discrimination of isobaric molecular species can be achieved without any prior column chromatography or operator-dependent supervision. At its current state of development, shotgun lipidomics can analyze over 20 lipid classes, hundreds of lipid molecular species and more than 95% of the mass content of a cellular lipidome. Thus, understanding the biochemical mechanisms underlying lipid-mediated disease states will be greatly facilitated by the power of shotgun lipidomics.     

Deep-lipidotyping by mass spectrometry: recent technical advances and applications

In-depth structural characterization of lipids is an essential component of lipidomics. There has been a rapid expansion of mass spectrometry methods that are capable of resolving lipid isomers at various structural levels over the past decade. These developments finally make deep-lipidotyping possible, which provides new means to study lipid metabolism and discover new lipid biomarkers. In this review, we discuss recent advancements in tandem mass spectrometry (MS/MS) methods for identification of complex lipids beyond the species (known headgroup information) and molecular species (known chain composition) levels. These include identification at the levels of carbon-carbon double bond (C=C) location and sn-position, as well as characterization of acyl chain modifications. We also discuss the integration of isomer-resolving MS/MS methods with different lipid analysis workflows and their applications in lipidomics. The results showcase the distinct capabilities of deep-lipidotyping in untangling the metabolism of individual isomers and sensitive phenotyping by using relative fractional quantitation of the isomers.     

Lipid metabolism and identification of biomarkers in asthma by lipidomic analysis

BackgroundLipids participate in many important biological functions through energy storage, material transport, signal transduction, and molecular recognition processes. Studies have reported that asthmatic patients have abnormal lipid metabolism. However, there are limited studies on the characterization of lipid metabolism in asthmatic patients by lipidomics.MethodsWe characterized the plasma lipid profile of 28 healthy controls and 33 outpatients with asthma (18 mild, 15 moderate) by liquid chromatography mass spectrometry/mass spectrometry-based lipidomics.ResultsWe determined 1338 individual lipid species in the plasma. Significant changes were identified in ten lipid species in asthmatic patients than in healthy controls (all P < 0.05). Phosphatidylethanolamine (PE) (18:1p/22:6), PE (20:0/18:1), PE (38:1), sphingomyelin (SM) (d18:1/18:1), and triglyceride (TG) (16:0/16:0/18:1) positively correlated with the severity of asthma (all P < 0.05). Phosphatidylinositol (PI) (16:0/20:4), TG (17:0/18:1/18:1), phosphatidylglycerol (PG) (44:0), ceramide (Cer) (d16:0/27:2), and lysophosphatidylcholine (LPC) (22:4) negatively correlated with the severity of asthma (all P < 0.05). Correlation analysis showed a significant correlation between all ten lipid species (all P < 0.05). From the area under the curve of the receiver operating characteristic curve analysis, PE (38:1) was the major lipid metabolite that distinguished asthmatic patients from healthy controls, and may be considered a potential lipid biomarker. PE (20:0/18:1) and TG (16:0/16:0/18:1) might be related to IgE levels in asthmatic patients.ConclusionsOur results indicated the presence of abnormal lipid metabolism, which correlated with the severity and IgE levels in asthmatic patients.     

Isolation of lipids from biological samples

Abstract

Isolation of the lipid fraction from biological samples has been a crucial part of countless studies over the last century. This considerable research interest has led to the development of a number of methods for isolating a range of molecular species that fall under the umbrella term “lipid”. Such methods vary in popularity, complexity, specificity and even toxicity. In this review, we explore examples of published methods (1952–2014) for isolating lipids from biological samples and attempt to assess the limits of techniques both from a chemical and biological perspective. We also suggest how a suitable method might be chosen for a novel application.     

Lipidomic analysis of epidermal lipids: a tool to predict progression of inflammatory skin disease in humans

Introduction: Lipidomics is the large-scale profiling and characterization of lipid species in a biological system using mass spectrometry. The skin barrier is mainly comprised of corneocytes and a lipid-enriched extracellular matrix. The major skin lipids are ceramides, cholesterol and free fatty acids (FFA). Lipid compositions are altered in inflammatory skin disorders with disrupted skin barrier such as atopic dermatitis (AD).

Areas covered: Here we discuss some of the recent applications of lipidomics in human skin biology and in inflammatory skin diseases such as AD, psoriasis and Netherton syndrome. We also review applications of lipidomics in human skin equivalent and in pre-clinical animal models of skin diseases to gain insight into the pathogenesis of the skin disease.

Expert commentary: Skin lipidomics analysis could be a fast, reliable and noninvasive tool to characterize the skin lipid profile and to monitor the progression of inflammatory skin diseases such as AD.     

Identification of Plasma Lipid Biomarkers for Prostate Cancer by Lipidomics and Bioinformatics

Background

Lipids have critical functions in cellular energy storage, structure and signaling. Many individual lipid molecules have been associated with the evolution of prostate cancer; however, none of them has been approved to be used as a biomarker. The aim of this study is to identify lipid molecules from hundreds plasma apparent lipid species as biomarkers for diagnosis of prostate cancer.

Methodology/Principal Findings

Using lipidomics, lipid profiling of 390 individual apparent lipid species was performed on 141 plasma samples from 105 patients with prostate cancer and 36 male controls. High throughput data generated from lipidomics were analyzed using bioinformatic and statistical methods. From 390 apparent lipid species, 35 species were demonstrated to have potential in differentiation of prostate cancer. Within the 35 species, 12 were identified as individual plasma lipid biomarkers for diagnosis of prostate cancer with a sensitivity above 80%, specificity above 50% and accuracy above 80%. Using top 15 of 35 potential biomarkers together increased predictive power dramatically in diagnosis of prostate cancer with a sensitivity of 93.6%, specificity of 90.1% and accuracy of 97.3%. Principal component analysis (PCA) and hierarchical clustering analysis (HCA) demonstrated that patient and control populations were visually separated by identified lipid biomarkers. RandomForest and 10-fold cross validation analyses demonstrated that the identified lipid biomarkers were able to predict unknown populations accurately, and this was not influenced by patient''s age and race. Three out of 13 lipid classes, phosphatidylethanolamine (PE), ether-linked phosphatidylethanolamine (ePE) and ether-linked phosphatidylcholine (ePC) could be considered as biomarkers in diagnosis of prostate cancer.

Conclusions/Significance

Using lipidomics and bioinformatic and statistical methods, we have identified a few out of hundreds plasma apparent lipid molecular species as biomarkers for diagnosis of prostate cancer with a high sensitivity, specificity and accuracy.     

Novel advances in shotgun lipidomics for biology and medicine

The field of lipidomics, as coined in 2003, has made profound advances and been rapidly expanded. The mass spectrometry-based strategies of this analytical methodology-oriented research discipline for lipid analysis are largely fallen into three categories: direct infusion-based shotgun lipidomics, liquid chromatography-mass spectrometry-based platforms, and matrix-assisted laser desorption/ionization mass spectrometry-based approaches (particularly in imagining lipid distribution in tissues or cells). This review focuses on shotgun lipidomics. After briefly introducing its fundamentals, the major materials of this article cover its recent advances. These include the novel methods of lipid extraction, novel shotgun lipidomics strategies for identification and quantification of previously hardly accessible lipid classes and molecular species including isomers, and novel tools for processing and interpretation of lipidomics data. Representative applications of advanced shotgun lipidomics for biological and biomedical research are also presented in this review. We believe that with these novel advances in shotgun lipidomics, this approach for lipid analysis should become more comprehensive and high throughput, thereby greatly accelerating the lipidomics field to substantiate the aberrant lipid metabolism, signaling, trafficking, and homeostasis under pathological conditions and their underpinning biochemical mechanisms.     

基于脂质组学技术研究急性缺血性脑卒中临床诊断标志物

目的:急性缺血性脑卒中(Acute ischemic stroke, AIS)是由于血流减少导致的脑功能突然丧失。由于AIS发病机制是异质性和多因素的,我们建立全面的脂质组学方法来阐明AIS进程相关的脂质变化和复杂的脂质代谢网络。方法:选取26例AIS患者血液标本和27例健康志愿者血清作为研究对象,进行总脂抽提,通过基于LC-MS策略的非靶向脂质组学方法进行规模性、整体性的脂质组学分析。结果:对AIS患者和健康志愿者血浆进行大规模脂质定性定量分析,通过Progenesis~? QI软件分析Xevo~? G2-XS QTOF质谱系统MSE采集的子离子数据,精确定量到1054个脂质特征差异,准确定性得到368个脂质分子,多变量统计分析中差异脂质组成能将AIS患者和健康志愿者区分开来,通路富集分析图显示差异脂质主要参与甘油磷脂代谢的紊乱。结论:AIS患者血浆脂质组成与健康志愿者存在显著差异,差异表达的脂质可能与AIS发生有关。这些发现有助于开发新的诊断标志物和AIS治疗靶点。     

Mouse fat storage‐inducing transmembrane protein 2 (FIT2) promotes lipid droplet accumulation in plants

Fat storage‐inducing transmembrane protein 2 (FIT2) is an endoplasmic reticulum (ER)‐localized protein that plays an important role in lipid droplet (LD) formation in animal cells. However, no obvious homologue of FIT2 is found in plants. Here, we tested the function of FIT2 in plant cells by ectopically expressing mouse (Mus musculus) FIT2 in Nicotiana tabacum suspension‐cultured cells, Nicotiana benthamiana leaves and Arabidopsis thaliana plants. Confocal microscopy indicated that the expression of FIT2 dramatically increased the number and size of LDs in leaves of N. benthamiana and Arabidopsis, and lipidomics analysis and mass spectrometry imaging confirmed the accumulation of neutral lipids in leaves. FIT2 also increased seed oil content by ~13% in some stable, overexpressing lines of Arabidopsis. When expressed transiently in leaves of N. benthamiana or suspension cells of N. tabacum, FIT2 localized specifically to the ER and was often concentrated at certain regions of the ER that resembled ER‐LD junction sites. FIT2 also colocalized at the ER with other proteins known to be involved in triacylglycerol biosynthesis or LD formation in plants, but not with ER resident proteins involved in electron transfer or ER‐vesicle exit sites. Collectively, these results demonstrate that mouse FIT2 promotes LD accumulation in plants, a surprising functional conservation in the context of a plant cell given the apparent lack of FIT2 homologues in higher plants. These results suggest also that FIT2 expression represents an effective synthetic biology strategy for elaborating neutral lipid compartments in plant tissues for potential biofuel or bioproduct purposes.     

An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development

Mass spectrometry is the predominant analytical tool used in the field of plant lipidomics. However, there are many challenges associated with the mass spectrometric detection and identification of lipids because of the highly complex nature of plant lipids. Studies into lipid biosynthetic pathways, gene functions in lipid metabolism, lipid changes during plant growth and development, and the holistic examination of the role of plant lipids in environmental stress responses are often hindered. Here, we leveraged a robust pipeline that we previously established to extract and analyze lipid profiles of different tissues and developmental stages from the model plant Arabidopsis thaliana. We analyzed seven tissues at several different developmental stages and identified more than 200 lipids from each tissue analyzed. The data were used to create a web-accessible in silico lipid map that has been integrated into an electronic Fluorescent Pictograph (eFP) browser. This in silico library of Arabidopsis lipids allows the visualization and exploration of the distribution and changes of lipid levels across selected developmental stages. Furthermore, it provides information on the characteristic fragments of lipids and adducts observed in the mass spectrometer and their retention times, which can be used for lipid identification. The Arabidopsis tissue lipid map can be accessed at http://bar.utoronto.ca/efp_arabidopsis_lipid/cgi-bin/efpWeb.cgi .     

Surfactant Lipidomics in Healthy Children and Childhood Interstitial Lung Disease

BackgroundLipids account for the majority of pulmonary surfactant, which is essential for normal breathing. We asked if interstitial lung diseases (ILD) in children may disrupt alveolar surfactant and give clues for disease categorization.MethodsComprehensive lipidomics profiles of broncho-alveolar lavage fluid were generated in 115 children by electrospray ionization tandem mass spectrometry (ESI-MS/MS). Two reference populations were compared to a broad range of children with ILD.ResultsClass and species composition in healthy children did not differ from that in children with ILD related to diffuse developmental disorders, chronic tachypnoe of infancy, ILD related to lung vessels and the heart, and ILD related to reactive lymphoid lesions. As groups, ILDs related to the alveolar surfactant region, ILD related to unclear respiratory distress syndrome in the mature neonate, or in part ILD related to growth abnormalities reflecting deficient alveolarisation, had significant alterations of some surfactant specific phospholipids. Additionally, lipids derived from inflammatory processes were identified and differentiated. In children with ABCA3-deficiency from two ILD causing mutations saturated and monounsaturated phosphatidylcholine species with 30 and 32 carbons and almost all phosphatidylglycerol species were severely reduced. In other alveolar disorders lipidomic profiles may be of less diagnostic value, but nevertheless may substantiate lack of significant involvement of mechanisms related to surfactant lipid metabolism.ConclusionsLipidomic profiling may identify specific forms of ILD in children with surfactant alterations and characterized the molecular species pattern likely to be transported by ABCA3 in vivo.     

Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis

Background  

Lipids are an important and highly diverse class of molecules having structural, energy storage and signaling roles. Modern analytical technologies afford screening of many lipid molecular species in parallel. One of the biggest challenges of lipidomics is elucidation of important pathobiological phenomena from the integration of the large amounts of new data becoming available.     

Alterations in Mouse Brain Lipidome after Disruption of CST Gene: A Lipidomics Study

To investigate the effects of a critical enzyme, cerebroside sulfotransferase (CST), involving sulfatide biosynthesis on lipid (particularly sphingolipid) homeostasis, herein, we determined the lipidomes of brain cortex and spinal cord from CST null and heterozygous (CST^?/? and CST^+/?, respectively) mice in comparison to their wild-type littermates by multi-dimensional mass spectrometry-based shotgun lipidomics. As anticipated, we demonstrated the absence of sulfatide in the tissues from CST^?/? mice and found that significant reduction of sulfatide mass levels was also present, but in an age-dependent manner, in CST^+/? mice. Unexpectedly, we revealed that the profiles of sulfatide species in CST^+/? mice were significantly different from that of littermate controls with an increase in the composition of species containing saturated and hydroxylated fatty acyl chains. Contrary to the changes of sulfatide levels, shotgun lipidomics analysis did not detect significant changes of the mass levels of other lipid classes examined. Taken together, shotgun lipidomics analysis demonstrated anticipated sulfatide mass deficiency in CST defect mouse brain and revealed novel brain lipidome homeostasis in these mice. These results might provide new insights into the role of CST in myelin function.     

A model of lipid rearrangements during pore formation in the DPPC lipid bilayer

Context: The molecular bases of pore formation in the lipid bilayer remain unclear, as do the exact characteristics of their sizes and distributions. To understand this process, numerous studies have been performed on model lipid membranes including cell-sized giant unilamellar vesicles (GUV). The effect of an electric field on DPPC GUV depends on the lipid membrane state: in the liquid crystalline phase the created pores have a cylinder-like shape, whereas in the gel phase a crack has been observed.

Objective: The aim of the study was to investigate the geometry of pores created in a lipid bilayer in gel and liquid crystalline phases in reference to literature experimental data.

Methods: A mathematical model of the pore in a DPPC lipid bilayer developed based on the law of conservation of mass and the assumption of constant volume of lipid molecules, independent of their conformation, allows for analysis of pore shape and accompanying molecular rearrangements.

Results: The membrane area occupied by the pore of a cylinder-like shape is greater than the membrane area occupied by lipid molecules creating the pore structure (before pore appearance). Creation of such pores requires more space, which can be achieved by conformational changes of lipid chains toward a more compact state. This process is impossible for a membrane in the most compact, gel phase.

Discussion and conclusions: We show that the geometry of the pores formed in the lipid bilayer in the gel phase must be different from the cylinder shape formed in the lipid bilayer in a liquid crystalline state, confirming experimental studies. Furthermore, we characterize the occurrence of the ‘buffer’ zone surrounding pores in the liquid crystalline phase as a mechanism of separation of neighbouring pores.     

The foundations and development of lipidomics

For over a century, the importance of lipid metabolism in biology was recognized but difficult to mechanistically understand due to the lack of sensitive and robust technologies for identification and quantification of lipid molecular species. The enabling technological breakthroughs emerged in the 1980s with the development of soft ionization methods (Electrospray Ionization and Matrix Assisted Laser Desorption/Ionization) that could identify and quantify intact individual lipid molecular species. These soft ionization technologies laid the foundations for what was to be later named the field of lipidomics. Further innovative advances in multistage fragmentation, dramatic improvements in resolution and mass accuracy, and multiplexed sample analysis fueled the early growth of lipidomics through the early 1990s. The field exponentially grew through the use of a variety of strategic approaches, which included direct infusion, chromatographic separation, and charge-switch derivatization, which facilitated access to the low abundance species of the lipidome. In this Thematic Review, we provide a broad perspective of the foundations, enabling advances, and predicted future directions of growth of the lipidomics field.     

Advances and challenges in understanding the role of the lipid raft proteome in human health

ABSTRACT

Introduction: Phase separation as a biophysical principle drives the formation of liquid-ordered ‘lipid raft’ membrane microdomains in cellular membranes, including organelles. Given the critical role of cellular membranes in both compartmentalization and signaling, clarifying the roles of membrane microdomains and their mutual regulation of/by membrane proteins is important in understanding the fundamentals of biology, and has implications for health.

Areas covered: This article will consider the evidence for lateral membrane phase separation in model membranes and organellar membranes, critically evaluate the current methods for lipid raft proteomics and discuss the biomedical implications of lipid rafts.

Expert commentary: Lipid raft homeostasis is perturbed in numerous chronic conditions; hence, understanding the precise roles and regulation of the lipid raft proteome is important for health and medicine. The current technical challenges in performing lipid raft proteomics can be overcome through well-controlled experimental design and careful interpretation. Together with technical developments in mass spectrometry and microscopy, our understanding of lipid raft biology and function will improve through recognition of the similarity between organelle and plasma membrane lipid rafts and considered integration of published lipid raft proteomics data.     

Resolving the kinetics of lipid,protein and peptide diffusion in membranes

Abstract

Recent developments in the understanding of molecular diffusion phenomena in membranes are reviewed. Both model bilayers and biological membranes are considered in respect of lateral diffusion, rotational diffusion and transverse diffusion (flip-flop). For model systems, particular attention is paid to recent data obtained using surface-specific techniques such as sum frequency generation vibrational spectroscopy on supported lipid bilayers, and fluorescence correlation spectroscopy on giant unilamellar vesicles, both of which have yielded new insights into the intrinsic rates of diffusion and the energetic barriers to processes such as lipid flip-flop. Advances in single-molecule and many-molecule fluorescence methodologies have enabled the observation of processes such as anomalous diffusion for some membrane species in biological membranes. These are discussed in terms of new models for the role of membrane interactions with the cytoskeleton, the effects of molecular crowding in membranes, and the formation of lipid rafts. The diffusion of peptides, proteins and lipids is considered, particularly in relation to the means by which antimicrobial peptide activity may be rationalized in terms of membrane poration and lipid flip-flop.     

Contrasting effects of anoxia on rhizome lipids in Iris species

A 14-day period of anoxia resulted in losses of polar lipids, particularly their saturated fatty acid components, from the anoxia-tolerant species Iris pseudacorus. By complete contrast, the anoxia-intolerant, closely related species I. germanica, although possessing a highly similar lipid profile, exhibited no changes in lipid composition in response to anoxia. The consequences of the lipid alterations in I. pseudacorus for membrane function and their possible role in adaptation to anoxia are discussed.