Hostname: page-component-745bb68f8f-b95js Total loading time: 0 Render date: 2025-02-11T05:12:55.581Z Has data issue: false hasContentIssue false

Imaging and lipidomics methods for lipid analysis in metabolic and cardiovascular disease

Published online by Cambridge University Press:  12 July 2017

K. G. Stevens
Affiliation:
Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia Mechanisms in Cell Biology and Disease Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia
C. A. Bader
Affiliation:
Mechanisms in Cell Biology and Disease Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia
A. Sorvina
Affiliation:
Mechanisms in Cell Biology and Disease Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia
D. A. Brooks
Affiliation:
Mechanisms in Cell Biology and Disease Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia
S. E. Plush
Affiliation:
Mechanisms in Cell Biology and Disease Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia
J. L. Morrison*
Affiliation:
Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia
*
*Address for correspondence: J. L. Morrison, Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, GPO Box 2471, Adelaide, SA 5001, Australia.(Email Janna.Morrison@unisa.edu.au)
Rights & Permissions [Opens in a new window]

Abstract

Cardiometabolic diseases exhibit changes in lipid biology, which is important as lipids have critical roles in membrane architecture, signalling, hormone synthesis, homoeostasis and metabolism. However, Developmental Origins of Health and Disease studies of cardiometabolic disease rarely include analysis of lipids. This short review highlights some examples of lipid pathology and then explores the technology available for analysing lipids, focussing on the need to develop imaging modalities for intracellular lipids. Analytical methods for studying interactions between the complex endocrine and intracellular signalling pathways that regulate lipid metabolism have been critical in expanding our understanding of how cardiometabolic diseases develop in association with obesity and dietary factors. Biochemical methods can be used to generate detailed lipid profiles to establish links between lifestyle factors and metabolic signalling pathways and determine how changes in specific lipid subtypes in plasma and homogenized tissue are associated with disease progression. New imaging modalities enable the specific visualization of intracellular lipid traffic and distribution in situ. These techniques provide a dynamic picture of the interactions between lipid storage, mobilization and signalling, which operate during normal cell function and are altered in many important diseases. The development of methods for imaging intracellular lipids can provide a dynamic real-time picture of how lipids are involved in complex signalling and other cell biology pathways; and how they ultimately regulate metabolic function/homoeostasis during early development. Some imaging modalities have the potential to be adapted for in vivo applications, and may enable the direct visualization of progression of pathogenesis of cardiometabolic disease after poor growth in early life.

Type
Review
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2017 

Introduction

All eukaryotes need to maintain a continuous flux of energy, which requires the ability to regulate storage of excess energy in a compact and stable form, such as fatty acids (FAs), for later use.Reference Unger, Clark, Scherer and Orci 1 , Reference Berg, Tymoczko and Stryer 2 This comprises the uptake of non-esterified FAs from the bloodstream as well as their de novo synthesis in the cytosol of hepatocytes and adipocytes, trafficking via autophagosomes or the endoplasmic reticulum (ER), storage in lipid droplets (LDs) as esterified neutral lipids (e.g. triacylglycerols) and β-oxidation in mitochondria.Reference Watt and Hoy 3 Reference Rosen and Spiegelman 5 Other lipids, including phospholipids and triacylglycerides, are synthesized in association with the ER, which ensures that there is a continuous supply of lipids for structural/functional applications as well as an energy reserve for times when availability is limited, such as during starvation, prolonged exercise or during early development.Reference Ducharme and Bickel 6 Reference Fagone and Jackowski 8 Adipocytes are specialized lipid-storage cells, with the specific role of neutral lipid storage for energy reserves, which can be mobilized out of cells into the bloodstream to provide energy for other tissues when glucose supply is diminished.Reference Rosen and Spiegelman 5 However, when dietary intake exceeds the storage capacity of the adipose tissue, there is spill-over of non-esterified FAs, which results in excess storage of these lipids in other tissues.Reference Jarvie, Hauguel-de-Mouzon and Nelson 9 Most other cells, including hepatocytes, pancreatic cells, skeletal muscle cells, cardiomyocytes and macrophages have a capacity to sequester free FAs. Once this capacity is exceeded, there are consequences for cell function, but also whole body homoeostasis, which can lead to, for example, insulin resistance and dyslipidaemia.Reference Watt and Hoy 3 , Reference Walther and Farese 10 In addition, the hypertrophy of adipocytes during obesity promotes a systemic pro-inflammatory state, which can further alter cellular function in other tissues.Reference Gustafson, Gogg and Hedjazifar 11 The existing body of knowledge has relied on the ability to identify, localize and quantify intracellular lipids, using specialized biological and imaging techniques. This has contributed to our understanding of the pathways that regulate normal and pathological lipid storage in adipose and non-adipose cells/tissues.

The accumulation of lipids is not simply a response to adult lifestyle patterns in diet and exercise, with maternal nutritional status and fetal growth impacting on the risk for cardiometabolic disease later in life.Reference Barker 12 Reference McMillen and Robinson 16 With almost half of mothers being obese and 5–14% of babies being born too small or too large,Reference McGillick, Lock, Orgeig and Morrison 17 , 18 our focus has shifted to understanding the links between growth in early life and the development of cardiometabolic disease in adult life. However, it may be most clinically relevant to develop tools to study the progression of cardiometabolic disease by characterizing the physiological and pathological deposition of lipids within organs. A range of techniques can be used to measure lipid content and their applicability to Developmental Origins of Health and Disease studies should be considered; but the advent of imaging technologies offers the potential to extend these observations to include dynamic real-time events.

Disease states such as obesity and insulin resistance lead to changes in intracellular lipid storage, which are evident in the altered amount and distribution of, for example, neutral lipids.Reference Watt and Hoy 3 , Reference Ducharme and Bickel 6 , Reference Martin and Parton 19 The control of intracellular lipids, and therefore systemic lipid homoeostasis, involves the interaction of multiple signalling pathways and the cooperation of several cellular structures and organelles. The coordinated functions of the ER, lysosomal network (including autophagosomes) and cytoskeleton provide a link between lipid synthesis, hydrolysis, storage, and both intracellular and extracellular transport.Reference Hall and Almahbobi 20 Reference Blanchette-Mackie, Dwyer and Barber 24 Meanwhile, esterified neutral lipids destined for energy production or steroid and membrane synthesis, are primarily contained within intracellular membrane-bound LDs.Reference Walther and Farese 10 , Reference Hall and Almahbobi 20 The generation of LD proteomes/lipidomes, using quantitative biochemical methods has provided vital information on their molecular, and specifically neutral lipid, composition.Reference Bartz, Li and Venables 25 Unfortunately, limited information is available on the organization and lipid flux within and from LDs. However, this is changing as new methods for imaging lipids in live cells are being developed, which will lead to more detailed information on the structural organization of lipids in biosynthetic/storage organelles and on the traffic of lipids through different regulatory networks.Reference Walther and Farese 10 , Reference Martin and Parton 19 , Reference Almahbobi, Williams, Han and Hall 21

In the context of lifestyle and metabolic diseases, the focus has been mainly on altered lipid storage and the changes in neutral lipids that affect energy metabolism; however, a majority of lipids reside in cell membranes. Both cholesterol contentReference Zicha, Kuneš and Devynck 26 and the specific phospholipid compositionReference van Meer 27 of membranes are important determinants of membrane fluidity and architecture, which in turn influences a cells’ receptivity to membrane–receptor dependent signalling. For example, this could provide an explanation for the correlation between the ratio of specific unsaturated FAs from the diet and insulin resistance.Reference Borkman, Storlien and Pan 28 Membrane-derived lipid signalling molecules also provide a plausible link between obesity and inflammation, and are factors in insulin resistance. This is through their actions as second messengers in signalling cascades.Reference Holland and Summers 29 , Reference Wenk 30 For example, the increased production of membrane second messengers, such as ceramide and sphingolipids, in obesity contributes to the development of pancreatic β-cell failure, atherosclerosis and cardiomyopathy.Reference Holland and Summers 29 Sphingolipids also have important roles in membrane–protein interactions through their organization into specific functional domains (often referred to as lipid rafts).Reference van Meer 27

Dyslipidaemia and lipid profiles: systemic lipid imbalances and the development of insulin resistance and cardiovascular disease

Biochemical methods have played an essential role in establishing links between metabolic disease, intracellular lipid storage and the pathological changes in blood lipid profiles, which are referred to as dyslipidaemia. For example, in prospective cohort studies, knowledge about the role of insulin resistance and dyslipidaemia in human cardiovascular disease has come from quantitative analysis of blood insulin.Reference Ginsberg 31 In addition to altered insulin sensitivity, individuals with more rapid growth in early life are more likely to have dyslipidaemia.Reference Fall, Sachdev and Osmond 15 Systems biology approaches are being used to study lipid metabolism and acquire quantitative data from sensitive mass spectrometry (MS) and chromatography methods.Reference Wenk 30 This information has been modelled to determine how changes in serum lipoprotein composition and specific lipid species, rather than just total triglyceride levels, are associated with insulin resistance, non-alcoholic fatty liver disease, cardiomyopathy and atherosclerosis.Reference Holland and Summers 29 , Reference Kotronen, Velagapudi and Yetukuri 32

Cellular and tissue lipid profiling has gained significance following the introduction of technology for high-throughput lipid analysis. In-depth reviews of biochemical methods for lipid analysis have been conducted elsewhereReference Wenk 30 , Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 and are summarized in Fig. 1. Here, we briefly discuss some of the most important developments in the quantitative analysis of lipids in human metabolic disease.

Fig. 1 There is a wide range of analytical techniques for studying lipids. Biochemical methods can be used for precise quantification of specific lipid subtypes/species, whereas emerging imaging modalities can permit the study of lipids in live cells.

Gas chromatography (GC)

GC is used to quantify FAs in biological extracts either by simple peak integration or using a flame ionization detector.Reference Seppänen-Laakso, Laakso and Hiltunen 34 , Reference Peterson and Cummings 35 The GC method can measure serum FAs, improving our understanding of their role in the early development of human cardiovascular and metabolic diseases.Reference Seppänen-Laakso, Laakso and Hiltunen 34 , Reference Lemaitre, King and Mozaffarian 36 Reference Patel, Sharp and Jansen 38 For example, analysis of the EPIC-Norfolk cohort, using GC to measure FAs in plasma and erythrocyte-membrane phospholipid fractions, found that FA profiles are associated with an increased risk of developing type II diabetes.Reference Patel, Sharp and Jansen 38 High levels of palmitic acid (16:0), palmitoleic acid (16:1n-7), dihomo-γ-linolenic acid (20:3n-6) and low levels of heptadecanoic acid (17:0), vaccenic acid (18:1n-7), eicosenoic acid (20:1n-9), linoleic acid (18:2n-6) and eicosadienoic acid (20:2n-6) were predictive of type II diabetes.Reference Patel, Sharp and Jansen 38 Although both plasma and erythrocyte FAs showed a similar pattern, the plasma FAs demonstrated greater values for assessing the association with diabetes risk.Reference Patel, Sharp and Jansen 38 Therefore, the GC method can provide an important bridge between lipidomics and cohort studies defining factors that influence metabolic function, and can also lead to the concept of metabolic fingerprinting.Reference Patel, Sharp and Jansen 38 , Reference García-Fontana, Morales-Santana and Navarro 39

The critical limitation of the GC method is that it can only be used to analyse volatile compounds; and therefore lipids such as FAs, phospholipids and sterols require derivatization before GC analysis.Reference Wenk 30 Increasing the volatility of these lipids is generally achieved through esterification, which in the case of phospholipids also requires enzymatic hydrolysis.Reference Wenk 30 , Reference Peterson and Cummings 35 However, the process of lipid preparation for the GC method is time-consuming, inevitably incurs further complexity and increases the likelihood of artefacts and errors during analysis.Reference Peterson and Cummings 35

MS

MS is arguably one of the most commonly utilized technologies in lipodomic studies as it can provide information about molecular mass, chemical structure and analyte concentration.Reference Blanksby and Mitchell 40 , Reference Brügger 41 MS has led to several valuable findings in addressing cell biological questions, including demonstration of the significance of glycerophospholipid cardiolipin in mediating mitochondrial autophagy.Reference Brügger 41 Moreover, MS methodology was used to perform lipid profiling to identify specific lipid metabolites in patients with myocardial infarction. Elevated serum levels of phosphatidylcholine, sphingomyelin, ceramide (d18:1/24:1) and glucer (d18:1/16:0) were detected in patients with myocardial infarction.Reference Park, Lee, Shin and Hwang 42 However, there are some drawbacks associated with MS methodology, particularly sample handling and lipid extraction, as interactions between lipids and solvents can alter the lipid fraction being isolated from the samples.Reference Furse, Egmond and Killian 43 Some novel ‘soft-ionization’ techniques can eliminate the need for lipid extraction and enable the analysis of lipids in situ (a concept that is discussed in detail in section In situ mass spectrometry imaging (MSI)).Reference Blanksby and Mitchell 40 , Reference Li, Zhou, Nie, Bai and Liu 44 Nonetheless, many of these techniques are yet to be optimized for effective lipid analysis, and are not easily accessible to many researchers.Reference Alberici, Simas and Sanvido 45

More common ionization methods include electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI). Although ESI and MALDI-MS are well-established techniques in lipid analysis, analysis of complex biological samples is often hindered by suppression of ionization, which leads to an inability to detect low-abundance chemical species due to the presence of low-volatility compounds.Reference Li, Zhou, Nie, Bai and Liu 44 , Reference Annesley 46 For ESI-MS, upfront separation via high-performance liquid chromatography (HPLC), GC or solid-phase extraction methods, offers a solution to this issue.Reference Wenk 30 , Reference Blanksby and Mitchell 40 , Reference Brügger 41

HPLC and HPLC-MS

HPLC provides a relatively inexpensive and simple approach to analyse lipid classes. Normal and reverse-phase methods, using evaporative light-scattering, UV-Vis, fluorescence and refractive index detection, are utilized for the analysis of polar and neutral lipid classes, without the requirement for expensive internal standards to account for the matrix effects encountered in MS.Reference Peterson and Cummings 35 Depending on the detection method, this technique can separate lipid classes in complex extracts before more complex analyses.Reference Peterson and Cummings 35 For example, by using reverse-phase HPLC, it was found that the concentration of cholesteryl esters was reduced and the concentration of triacylglycerides was increased in low-density lipoproteins from type II diabetic patients, when compared with healthy individuals.Reference Colas, Pruneta-Deloche and Guichardant 47 HPLC alone has a limited ability to resolve different lipid species within polar and neutral lipid classes, owing to their diversity within biological samples. In contrast, mass detectors offer substantially improved sensitivity and allow for the identification of individual lipid species based on their unique chemical structures.Reference Peterson and Cummings 35

Imaging intracellular lipid distribution and architecture in real time

The challenge for analysing lipids is to determine the spatial and temporal changes in the intracellular localization of these molecules.Reference van Meer 27 This information is lost by the homogenization and extraction procedures that are required for most quantitative biochemical analyses,Reference Ando, Kinoshita and Cui 48 and therefore alternative approaches, such as imaging techniques are required to develop a comprehensive understanding of how intracellular lipid distribution is altered in major disease states. Moreover, imaging techniques can provide information on the dynamic activities of lipids and their interactions with other organelles (methods for visualizing lipids in situ are summarized in Fig. 1 and discussed below).

Light microscopy

Before the introduction of fluorescence imaging and other high-resolution techniques, conventional light microscopy was used to study neutral lipids; stained with Oil Red O and Sudan Black B.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 In this type of microscopy, visible photons (λ=400–700 nm) serve as the source of illumination, and by passing through the specimen, they are refracted through glass optical lenses to form a magnified view of the sample. Oil Red O is frequently used to visualize LDs in mammalian cells and tissues.Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 , Reference Mehlem, Hagberg, Muhl, Eriksson and Falkevall 50 In particular, Oil Red O has been used to visualize the increased lipid accumulation that occurs in the liver, heart and skeletal muscle during obesityReference Unger, Clark, Scherer and Orci 1 and metabolic syndrome;Reference Goodpaster, He, Watkins and Kelley 51 which are thought to contribute to the subsequent development of type II diabetes, non-alcoholic fatty liver diseaseReference Mehlem, Hagberg, Muhl, Eriksson and Falkevall 50 and cardiomyopathy.Reference Chiu, Kovacs and Ford 52 Both Oil Red O and Sudan Black B require sample fixation and the use of ethanol as a solvent, which can result in lipid extraction.Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 , Reference Fukumoto and Fujimoto 53 However, this method only gives a pictorial of a static window in time. Furthermore, conventional light microscopy has a resolving power limited to ~230 nm, which restricts observations of LDs in many cells (in which they can range from 100 to 1000 nm in diameter)Reference Daemen, van Zandvoort, Parekh and Hesselink 49 and specifically cannot delineate their internal architecture.

Electron microscopy (EM)

The best resolution (<0.1 nm) is currently achieved using a beam of electrons rather than light as the source of illumination. EM is operated in a vacuum where scattered electrons pass through the specimen and are focussed by the electromagnetic lenses of the microscope.Reference Stadtländer 54 In EM, the shorter wavelength of the electron (λ=0.005 nm, 50 kV) is associated with the increased resolving power.Reference Stadtländer 54 There are three commonly used types of EM: transmission electron microscopy (TEM), scanning electron microscopy (SEM) and scanning transmission electron microscopy (STEM), which differ fundamentally in their uses. Typical TEM images are two-dimensional projections of an ultrathin slice (<0.5 µm) of the specimen, which are collected by spreading the electron beam with energy between ~60 and 300 keV.Reference de Jonge and Ross 55 SEM generates an image with the help of backscattered or secondary electrons recorded by a focussed beam with energy between ~500 eV and 30 keV; this type of EM gives the impression of three dimensions.Reference de Jonge and Ross 55 STEM has features of both EMs and uses the SEM beam over the specimen.Reference de Jonge and Ross 55 In cell biology, EM has enabled high-resolution images of the association between LDs and ER membrane, overcoming one of the major limitations of light-based microscopy. Increased resolving power led to a proposed mechanism for LD formation that involves ‘budding’ from the ER,Reference Thiam, Farese and Walther 56 and this was based on ultrastructural observations of LDs sharing a continuous membrane with the ER.Reference Blanchette-Mackie, Dwyer and Barber 24 In addition, the association of LDs with both mitochondria and cytoskeletal filaments has been observed using EM in adrenal and Leydig cells.Reference Hall and Almahbobi 20 Reference Merry 22 For example, hormonal stimulation of normal rat adrenal tissue results in morphological changes to mitochondrial membranes, increasing the number of membrane protrusions into LDs to facilitate the transport of cholesterol and sterol esters into the inner mitochondrial membrane for steroid synthesis.Reference Hall and Almahbobi 20 , Reference Merry 22 These membranous protrusions have also been observed using EM in yeast between LDs and peroxisomes, which are the site of β-oxidation.Reference Binns, Januszewski and Chen 57 Collectively, EM has been and continues to be an important tool in providing detailed maps of intracellular lipid distribution in relation to specific cellular structures. Moreover, EM has provided evidence for the proposed mechanism by which LDs are formed at the ER where they act as a reservoir for newly synthesized triacylglycerols, which can then be withdrawn for the synthesis of steroids in response to hormonal signals from the hypothalamus, or for energy mobilization via β-oxidation.Reference Walther and Farese 10 , Reference Almahbobi, Williams, Han and Hall 21 , Reference Merry 22 , Reference Binns, Januszewski and Chen 57

While the application of conventional EM to lipid biology is potentially powerful there are a number of technological limitations. One limitation is the requirement for sample fixation, which restricts its application to imaging immobilized structures in fixed cells. Thus, EM cannot provide any spatial temporal information for the visualization of lipid dynamics; unless the cell biology experiments are performed on electron transparent membranes and imaged with a light microscope before fixation and then imaged with SEM.Reference de Jonge and Ross 55 Another limitation is that visualizing large areas requires the assembly of multiple images, which is a technically challenging process.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 Finally, the contrast agent used to visualize lipids in EM, osmium tetroxide, is toxic.Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 However, osmium tetroxide can be used to stain for subcategories of lipids. For example, osmium oxide demonstrated co-staining with unsaturated C18 FAs as well as complementary localization to saturated (C14, C16 and C18) and unsaturated (C16) FAs in mouse adipose tissue.Reference Belazi, Sole-Domenech, Johansson, Schalling and Sjovall 58 Cryo-EM offers an alternative to chemical fixation methods, and has been used to elucidate the three-dimensional structure of human low-density lipoprotein particles.Reference Orlova, Sherman and Chiu 59 However, this method still provides limited spatial temporal information. Focussed ion beam scanning electron microscopy (FIB-SEM) tomography represents a technology with a built-in gallium ion source, in which the specimen (thin as ~3 nm) is milled off with the Ga+ ion beam and then with the electron beam to generate an image.Reference Kizilyaprak, Daraspe and Humbel 60 This method can allow the generation of volume data for three-dimensional analysis, and has been successfully used as cryo-FIB-SEM tomography on the mouse optic nerve.Reference Schertel, Snaidero and Han 61 Using this technology, lipid-rich structures such as membranes and myelin appeared dark on the micrographs, when compared with the cytoplasm.Reference Schertel, Snaidero and Han 61 Ultrahigh-resolution TEM, transmission electron aberration-corrected microscope, is a new technology that can provide an information limit of 0.05 nm at an accelerating voltage of 200 kV.Reference Haider, Muller and Uhlemann 62 There are many new EM technologies, for example, four-dimensional ultrafast electron microscopy,Reference Flannigan and Zewail 63 that have potential applications in lipid biology.

Coherent anti-Stokes Raman scattering (CARS) spectroscopy

CARS spectroscopy offers an effective alternative approach to visible light and fluorescence-based (vide infra) imaging techniques,Reference Charan, Chien, Singh, Kuo and Chen 64 and does not require exogenous labels for the visualization of lipids in the biological specimens. Moreover, CARS spectroscopy allows the non-invasive quantification of lipids within live cells based on the detection of specific molecular bond vibrations,Reference Evans and Xie 65 , Reference Carter, Tam, Armstrong and Lay 66 such as those of C–H, C=O and P–O bonds, and can therefore be tuned to discriminate individual lipid species in complex samples.Reference Enejder, Brackmann, Axäng, Åkeson and Pilon 67 , Reference Czamara, Majzner and Pacia 68 This approach can also allow observations on cellular dynamics, to help identify key regulatory processes in lipid homoeostasis. For example, by using CARS spectroscopy, it was demonstrated that overexpression of Perilipin 5 results in increased sequestration of saturated FAs in LDs and an increased proportion of esterified FAs and cholesterol in skeletal muscle fibres.Reference Billecke, Bosma and Rock 69 The protein Perilipin 5 is involved in the translocation of hormone-sensitive lipase to LD membranes in response to protein kinase A signal induction, which allows cells to mobilize neutral lipids in response to catecholamines and β-adrenergic stimulation.Reference Walther and Farese 10 , Reference Sztalryd, Xu and Dorward 70 These results suggest that dysregulation of FA hydrolysis feedback mechanism in disease states might induce alterations in LD composition,Reference Billecke, Bosma and Rock 69 and that CARS spectroscopy is an effective method for observing these changes.

Notably, CARS spectroscopy permits imaging for extended period of time without a loss of signal;Reference Daemen, van Zandvoort, Parekh and Hesselink 49 this capability has been particularly effective for monitoring dynamic trafficking events that have a vital role in LD activities.Reference Walther and Farese 10 , Reference Fukumoto and Fujimoto 53 , Reference Nan, Potma and Xie 71 The active transport of LDs in Y-1 mouse adrenal cells in correlation with cell rounding, a characteristic feature of cells that are actively undergoing steroidogenesis, has been observed using CARS spectroscopy.Reference Nan, Potma and Xie 71 These active processes can be sensitive to laser effects and the binding of exogenous compounds,Reference Walther and Farese 10 , Reference Fukumoto and Fujimoto 53 , Reference Nan, Potma and Xie 71 and are therefore difficult to study using alternative live-cell imaging methods. However, the application of CARS spectroscopy in lipid biology is still limited, by its reliance on relatively weak signalsReference Song, Won and Kim 72 and its inability to differentiate between structurally similar lipid species.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 Furthermore, this approach is time-consuming and requires specialized equipment, which is not widely accessible.Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33

In situ mass spectrometry imaging (MSI)

Another label-free imaging technique is in situ MSI, which has been used to study lipids.Reference Amaya, Monroe, Sweedler and Clayton 73 This technique involves the acquisition of mass spectra from discrete areas, as small as 1 μm2 within tissue sample, which can be compiled into high-resolution images to provide a detailed depiction of both the chemical composition and localization of cellular components.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 , Reference Colliver, Brummel and Pacholski 74 This modality has been particularly amenable to the two- and three-dimensional mapping of lipids in large sections of brain tissues,Reference Amaya, Monroe, Sweedler and Clayton 73 , Reference Chen, Hui, Sturm and Li 75 , Reference Chen, Allegood and Liu 76 and has been effectively utilized for the identification and localization of a wide range of lipids, such as cholesterol,Reference Amaya, Monroe, Sweedler and Clayton 73 saturated/unsaturated FAs,Reference Amaya, Monroe, Sweedler and Clayton 73 phospholipids and sphingolipids.Reference Chen, Hui, Sturm and Li 75 , Reference Chen, Allegood and Liu 76

In contrast to CARS imaging, there is no need for specific calibration to detect target molecules using MSI.Reference Amaya, Monroe, Sweedler and Clayton 73 However, data interpretation with this technique is complex because there is unavoidable simultaneous detection of multiple compounds; whereas exogenous labels are superfluous, cell culture media and reagents used in sample preservation/preparation and residual ice or water inevitably contribute to background signals.Reference Colliver, Brummel and Pacholski 74 Signals from endogenous biomolecules can also interfere with the analysis of specific compounds, particularly when target molecules exist at low concentrations. This issue can be overcome through modifications at the levels of ionization, detection and data analysis, but only at the expense of spatial temporal resolution.Reference Amaya, Monroe, Sweedler and Clayton 73 Furthermore, resolution at the organelle level is limited and quantification of individual lipid species requires calibration with standard solutions of target analytes, making this procedure time-consuming and expensive.Reference Daemen, van Zandvoort, Parekh and Hesselink 49

Confocal microscopy

Wide-field fluorescence, or epifluorescence, microscopy is often easily accessible and has the benefit of fast data acquisition. In high-resolution wide-field microscopy, focus and depth aberration in three-dimensional imaging have been corrected via incorporation of a large-throw deformable mirror; and this dramatically improved spatial resolution, peak intensities and deconvolution of the images.Reference Kner, Sedat, Agard and Kam 77 In contrast, confocal microscopy, which excites samples using a scanning laser and detects fluorescence from a pinhole-sized focal point, can offer resolutions at 180 nm or less depending on the type of microscopy, making it suitable for imaging at the organelle level.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 The spatial resolution can also be increased by overcoming the diffraction barrier (from 200–300 nm to 20–50 nm in the lateral dimensions), and this has been achieved with a number of super-resolution far-field microscopy techniques.Reference Huang, Bates and Zhuang 78 For instance, by using the single-molecule localization approach, three-dimensional stochastic optical reconstruction microscopy allowed visualization of nanoscopic cellular structures such as clathrin-coated pits (~150–200 nm) in BS-C-1 cells.Reference Huang, Wang, Bates and Zhuang 79 By employing non-linear effects to sharpen the point-spread function of the microscope, for example, in two-colour three-dimensional stimulated emission depletion microscopy, nanoscale imaging of mitochondria demonstrated predominant localization of Tom20 in clusters of the outer membrane of these organelles.Reference Huang, Bates and Zhuang 78 , Reference Schmidt, Wurm and Jakobs 80 Compared with confocal laser scanning microscopes, spinning disk confocal microscopy (SDCM) has a high rate of frame acquisition (up to 2000 frames/s in theory), which is achieved by the use of a rapidly rotating disk with thousands of pinholes that scan the specimen by thousands of points of light in parallel, and therefore this microscopy technique has an important advantage in live-cell imaging.Reference Stehbens, Pemble, Murrow and Wittmann 81 For example, the use of SDCM allowed investigation of passive transport of the fluorescent molecule PEG-8-NBD into giant unilamellar lipid vesicles.Reference Li, Hu and Malmstadt 82 Light-sheet fluorescence microscopy offers fast data acquisition and high intracellular resolution, and relies on the use of a thin sheet of light that optically section tissues or whole organism;Reference Santi 83 Reference Royer, Lemon and Chhetri 85 and while this offers significant advantages in imaging, this technology is not yet widely available.

Some of the most significant findings relating to lipid biology have only been possible because of the ability to visualize lipids and their associated proteins in cells and tissues with fluorescent dyes, antibodies and/or fluorescent lipid analogues.Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 , Reference Daemen, van Zandvoort, Parekh and Hesselink 49 Nile Red is a neutral lipid-imaging agent that is commonly used to visualize LDs in live- and fixed-cells and tissues.Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 , Reference Greenspan, Mayer and Fowler 86 The visualization of LD by Nile Red and imaged with confocal microscopy has identified cell populations with differences in the size and number of LDs in AML12 mouse hepatocytes and rat liver tissue.Reference Herms, Bosch and Ariotti 23 These results suggest a protective mechanism for preventing hepatic lipid overload, in which a subpopulation of hepatocytes accumulates larger amounts of less toxic lipids.Reference Herms, Bosch and Ariotti 23 Furthermore, this LD heterogeneity decreases following high or long-term FA exposure, which could reflect a similar loss of such protective mechanisms during obesity or exposure to high-fat diets, which leads to the onset of non-alcoholic liver disease.Reference Herms, Bosch and Ariotti 23

More recently, the lipid-binding dye boron dipyrromethene difluoride (BODIPY) 493/503 has been used to study LD morphology and activity, in live and fixed cells. Colocalization experiments have provided a link between LD numbers and autophagy, which is an additional mechanism for intracellular FA regulation.Reference Singh, Kaushik and Wang 87 , Reference Sinha, You and Zhou 88 Colocalization between LDs visualized with BODIPY and autolysosome markers, microtubule-associated protein 1A/1B light chain 3 and lysosome-associated membrane protein type 1, indicates an interaction between these organelles;Reference Singh, Kaushik and Wang 87 , Reference Shibata, Yoshimura and Furuya 89 and identifies a process that is upregulated in response to starvationReference Singh, Kaushik and Wang 87 and thyroid hormone stimulation,Reference Sinha, You and Zhou 88 but impaired after long-term exposure to a high-fat diet.Reference Singh, Kaushik and Wang 87 , Reference Koga, Kaushik and Cuervo 90 Fluorescent lipid analogues can also be used to monitor lipid uptake and/or transport in live cells and tissues. FA-, sphingolipid- and cholesterol-conjugated BODIPY analogues have been successfully utilized to study the uptake of neutral and polar lipids.Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 , Reference Hölttä‐Vuori, Uronen and Repakova 91 , Reference Ishitsuka, Sato and Kobayashi 92

An important consideration when visualizing lipids using fluorescent agents is their potential effect on native cell processes and structure.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 For example, co-location of lysosomal stains with Nile Red and BODIPY-labelled FAs suggested that these dyes are also interacting with the endosomal/lysosomal network.Reference O’Rourke, Soukas, Carr and Ruvkun 93 Filipin, which can be used to visualize free cholesterol, disrupts plasma membrane and this prevents its application in live cells.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 , Reference Bader, Carter and Safitri 94 Similarly, anti-lipid antibodies can affect membrane structure due to their relatively large size.Reference Ishitsuka, Sato and Kobayashi 92 To overcome these issues, bio-orthogonal probes have been developed. These probes utilize modified ligands with biologically inert functional groups that are conjugated to fluorescent reagents after binding their target. This procedure has already been demonstrated using FA, cholesterol and sphingolipid probes.Reference Daemen, van Zandvoort, Parekh and Hesselink 49

Perhaps one of the most significant problems for many existing fluorescent agents, which are based on organic fluorophores, is their propensity for photobleaching after prolonged exposure to light sources.Reference Bader, Brooks and Ng 95 , Reference Bader, Shandala and Carter 96 Lipophilic imaging agents with inorganic frameworks offer a promising solution to this issue.Reference Bader, Brooks and Ng 95 , Reference Bader, Sorvina and Simpson 97 These imaging agents have shown improved photostability, the potential to stain polar membrane lipids,Reference Lo, Choi and Law 98 and label LDs.Reference Bader, Brooks and Ng 95 , Reference Bader, Shandala and Carter 96 Some of these imaging agents are also suitable for live-cell imaging, and therefore can be used to image disease pathogenesis. Moreover, lipophilic imaging agents have been successfully used for two-photon microscopy.Reference Amaya, Monroe, Sweedler and Clayton 73 Two-photon microscopy is a high-resolution technique, which offers increased depth of penetration into biological specimens and reduced levels of photo-damage, compared with one-photon techniques.Reference Svoboda and Yasuda 99 Improved penetration has been achieved by the use of deep red and infrared excitation wavelengths as well as non-linear excitation.Reference Svoboda and Yasuda 99 In two-photon microscopy, a fluorophore is excited by the simultaneous absorption of two low-energy photons, typically from the same laser, minimizing photobleaching and phototoxicity.Reference Svoboda and Yasuda 99 Thus, the use of multiple reagents for lipid visualization has the potential to provide important spatial temporal information on lipid dynamics, which will be critical in defining metabolic and cardiovascular disease pathogenesis.

Summary

Changes in lipid metabolism in response to pathogenesis of cardiometabolic disease caused by adult lifestyle or growth in early life are multifactorial. The integration of findings from biochemical and imaging experiments, in a range of cellular and animal models, has provided a better understanding of the intrinsic processes altered in response to diet and the genetic manipulation of metabolic pathways. These innovations for studying lipid biology can now be applied to investigate the associations between plasma FA and LDs, and the progression of insulin resistance, diabetes and cardiovascular disease in individuals at increased risk due to suboptimal growth in early life. The most appropriate method for analysing intracellular and tissue lipids is dependent on the question under investigation and the sample being examined, and requires consideration of several factors, including but not limited to: sample type and preparation, such as the need for fixation and/or solvents,Reference Elle, Olsen, Pultz, Rødkær and Færgeman 33 , Reference Fukumoto and Fujimoto 53 , Reference Hackett, McQuillan and El-Assaad 100 selectivity for different lipid subtypes, and the effect on native cellular activity for imaging live cells.Reference Daemen, van Zandvoort, Parekh and Hesselink 49 In most cases, utilizing a suite of these techniques offers the most comprehensive approach for studying lipid distribution and composition, and their interactions with other cellular components, in response to internal and external factors. Continued advances in methods for labelling and quantifying lipids will provide a more complete picture of their roles in cell function and the progression to as well as frank cardiometabolic disease.

Financial Support

J.L.M. was supported by a Career Development Fellowship from the NHMRC (grant number APP1066916).

Conflicts of Interest

The following authors, D.A.B. and S.E.P., are shareholders in ReZolve Scientific, a company that has the license to sell lipophilic probes with inorganic frameworks that are mentioned in line 305–308 in references in the review articles.Reference Amaya, Monroe, Sweedler and Clayton 73 Reference Chen, Hui, Sturm and Li 75

Footnotes

S. E. Plush and J. L. Morrison contributed equally to this article.

References

1. Unger, RH, Clark, GO, Scherer, PE, Orci, L. Lipid homeostasis, lipotoxicity and the metabolic syndrome. Biochim Biophys Acta. 2010; 1801, 209214.CrossRefGoogle ScholarPubMed
2. Berg, JM, Tymoczko, JL, Stryer, L. Triacylglycerols are highly concentrated energy stores. In Biochemistry (ed. Georgia Lee Hadler), 5th edn, 2002; pp. 641–642. WH Freeman and Company: New York.Google Scholar
3. Watt, MJ, Hoy, AJ. Lipid metabolism in skeletal muscle: generation of adaptive and maladaptive intracellular signals for cellular function. Am J Physiol Endocrinol Metabol. 2012; 302, E1315E1328.Google Scholar
4. Ameer, F, Scandiuzzi, L, Hasnain, S, Kalbacher, H, Zaidi, N. De novo lipogenesis in health and disease. Metabolism. 2014; 63, 895902.Google Scholar
5. Rosen, ED, Spiegelman, BM. Adipocytes as regulators of energy balance and glucose homeostasis. Nature. 2006; 444, 847853.Google Scholar
6. Ducharme, NA, Bickel, PE. Minireview: lipid droplets in lipogenesis and lipolysis. Endocrinology. 2008; 149, 942949.CrossRefGoogle Scholar
7. Fu, S, Watkins, SM, Hotamisligil, GS. The role of endoplasmic reticulum in hepatic lipid homeostasis and stress signaling. Cell Metab. 2012; 15, 623634.Google Scholar
8. Fagone, P, Jackowski, S. Membrane phospholipid synthesis and endoplasmic reticulum function. J Lipid Res. 2009; 50, S311S316.Google Scholar
9. Jarvie, E, Hauguel-de-Mouzon, S, Nelson, SM, et al. Lipotoxicity in obese pregnancy and its potential role in adverse pregnancy outcome and obesity in the offspring. Clin Sci. 2010; 119, 123129.Google Scholar
10. Walther, TC, Farese, RV. The life of lipid droplets. Biochim Biophys Acta. 2009; 1791, 459466.Google Scholar
11. Gustafson, B, Gogg, S, Hedjazifar, S, et al. Inflammation and impaired adipogenesis in hypertrophic obesity in man. Am J Physiol Endocrinol Metabol. 2009; 297, E999E1003.Google Scholar
12. Barker, DJ. The developmental origins of well-being. Philos Trans R Soc Lond B Biol Sci. 2004; 359, 13591366.Google Scholar
13. Barker, DJ, Osmond, C, Golding, J, Kuh, D, Wadsworth, ME. Growth in utero, blood pressure in childhood and adult life, and mortality from cardiovascular disease. BMJ. 1989; 298, 564567.Google Scholar
14. Barker, DJ, Winter, PD, Osmond, C, Margetts, B, Simmonds, SJ. Weight in infancy and death from ischaemic heart disease. Lancet. 1989; 2, 577580.Google Scholar
15. Fall, CH, Sachdev, HS, Osmond, C, et al. Adult metabolic syndrome and impaired glucose tolerance are associated with different patterns of BMI gain during infancy: data from the New Delhi Birth Cohort. Diabet Care. 2008; 31, 23492356.Google Scholar
16. McMillen, IC, Robinson, JS. Developmental origins of the metabolic syndrome: prediction, plasticity, and programming. Physiol Rev. 2005; 85, 571633.Google Scholar
17. McGillick, EV, Lock, MC, Orgeig, S, Morrison, JL. Maternal obesity mediated predisposition to respiratory complications at birth and in later life: understanding the implications of the obesogenic intrauterine environment. Paediatr Respir Rev. 2016; 21, 1118.Google Scholar
18. Australian Institute of Health and Welfare (AIHW). Australia’s mothers and babies 2014-in brief. Perinatal Statistics Series No. 32; Cat No. PER87. 2016.Google Scholar
19. Martin, S, Parton, RG. Lipid droplets: a unified view of a dynamic organelle. Nat Rev Mol Cell Biol. 2006; 7, 373378.Google Scholar
20. Hall, PF, Almahbobi, G. Roles of microfilaments and intermediate filaments in adrenal steroidogenesis. Microsc Res Tech. 1997; 36, 463479.Google Scholar
21. Almahbobi, G, Williams, LJ, Han, X-G, Hall, PF. Binding of lipid droplets and mitochondria to intermediate filaments in rat Leydig cells. J Reprod Fertil. 1993; 98, 209217.Google Scholar
22. Merry, B. Mitochondrial structure in the rat adrenal cortex. J Anat. 1975; 119(Pt 3), 611618.Google Scholar
23. Herms, A, Bosch, M, Ariotti, N, et al. Cell-to-cell heterogeneity in lipid droplets suggests a mechanism to reduce lipotoxicity. Curr Biol. 2013; 23, 14891496.CrossRefGoogle ScholarPubMed
24. Blanchette-Mackie, EJ, Dwyer, NK, Barber, T, et al. Perilipin is located on the surface layer of intracellular lipid droplets in adipocytes. J Lipid Res. 1995; 36, 12111226.Google Scholar
25. Bartz, R, Li, W-H, Venables, B, et al. Lipidomics reveals that adiposomes store ether lipids and mediate phospholipid traffic. J Lipid Res. 2007; 48, 837847.CrossRefGoogle ScholarPubMed
26. Zicha, J, Kuneš, J, Devynck, M-A. Abnormalities of membrane function and lipid metabolism in hypertension: a review. Am J Hypertens. 1999; 12, 315331.Google Scholar
27. van Meer, G. Cellular lipidomics. EMBO J. 2005; 24, 31593165.Google Scholar
28. Borkman, M, Storlien, LH, Pan, DA, et al. The relation between insulin sensitivity and the fatty-acid composition of skeletal-muscle phospholipids. N Engl J Med. 1993; 328, 238244.Google Scholar
29. Holland, WL, Summers, SA. Sphingolipids, insulin resistance, and metabolic disease: new insights from in vivo manipulation of sphingolipid metabolism. Endocr Rev. 2008; 29, 381402.Google Scholar
30. Wenk, MR. The emerging field of lipidomics. Nat Rev Drug Discov. 2005; 4, 594610.Google Scholar
31. Ginsberg, HN. Insulin resistance and cardiovascular disease. J Clin Invest. 2000; 106, 453458.Google Scholar
32. Kotronen, A, Velagapudi, V, Yetukuri, L, et al. Serum saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations. Diabetologia. 2009; 52, 684690.Google Scholar
33. Elle, IC, Olsen, LCB, Pultz, D, Rødkær, SV, Færgeman, NJ. Something worth dyeing for: molecular tools for the dissection of lipid metabolism in Caenorhabditis elegans. FEBS Lett. 2010; 584, 21832193.Google Scholar
34. Seppänen-Laakso, T, Laakso, I, Hiltunen, R. Analysis of fatty acids by gas chromatography, and its relevance to research on health and nutrition. Anal Chim Acta. 2002; 465, 3962.Google Scholar
35. Peterson, BL, Cummings, BS. A review of chromatographic methods for the assessment of phospholipids in biological samples. Biomed Chromatogr. 2006; 20, 227243.Google Scholar
36. Lemaitre, RN, King, IB, Mozaffarian, D, et al. Plasma phospholipid trans fatty acids, fatal ischemic heart disease, and sudden cardiac death in older adults the cardiovascular health study. Circulation. 2006; 114, 209215.Google Scholar
37. Rissanen, T, Voutilainen, S, Nyyssönen, K, Lakka, TA, Salonen, JT. Fish oil–derived fatty acids, docosahexaenoic acid and docosapentaenoic acid, and the risk of acute coronary events. Circulation. 2000; 102, 26772679.Google Scholar
38. Patel, PS, Sharp, SJ, Jansen, E, et al. Fatty acids measured in plasma and erythrocyte-membrane phospholipids and derived by food-frequency questionnaire and the risk of new-onset type 2 diabetes: a pilot study in the European Prospective Investigation into Cancer and Nutrition (EPIC)–Norfolk cohort. Am J Clin Nutr. 2010; 92, 12141222.Google Scholar
39. García-Fontana, B, Morales-Santana, S, Navarro, CD, et al. Metabolomic profile related to cardiovascular disease in patients with type 2 diabetes mellitus: a pilot study. Talanta. 2016; 148, 135143.Google Scholar
40. Blanksby, SJ, Mitchell, TW. Advances in mass spectrometry for lipidomics. Ann Rev Anal Chem. 2010; 3, 433465.Google Scholar
41. Brügger, B. Lipidomics: analysis of the lipid composition of cells and subcellular organelles by electrospray ionization mass spectrometry. Ann Rev Biochem. 2014; 83, 7998.CrossRefGoogle ScholarPubMed
42. Park, JY, Lee, SH, Shin, MJ, Hwang, GS. Alteration in metabolic signature and lipid metabolism in patients with angina pectoris and myocardial infarction. PloS One. 2015; 10, e0135228.Google Scholar
43. Furse, S, Egmond, MR, Killian, JA. Isolation of lipids from biological samples. Mol Membr Biol. 2015; 32, 5564.Google Scholar
44. Li, M, Zhou, Z, Nie, H, Bai, Y, Liu, H. Recent advances of chromatography and mass spectrometry in lipidomics. Anal Bioanal Chem. 2011; 399, 243249.Google Scholar
45. Alberici, RM, Simas, RC, Sanvido, GB, et al. Ambient mass spectrometry: bringing MS into the ‘real world’. Anal Bioanal Chem. 2010; 398, 265294.Google Scholar
46. Annesley, TM. Ion suppression in mass spectrometry. Clin Chem. 2003; 49, 10411044.Google Scholar
47. Colas, R, Pruneta-Deloche, V, Guichardant, M, et al. Increased lipid peroxidation in LDL from type-2 diabetic patients. Lipids. 2010; 45, 723731.Google Scholar
48. Ando, J, Kinoshita, M, Cui, J, et al. Sphingomyelin distribution in lipid rafts of artificial monolayer membranes visualized by Raman microscopy. Proc Natl Acad Sci U S A. 2015; 112, 45584563.Google Scholar
49. Daemen, S, van Zandvoort, MAMJ, Parekh, SH, Hesselink, MKC. Microscopy tools for the investigation of intracellular lipid storage and dynamics. Mol Metab. 2016; 5, 153163.Google Scholar
50. Mehlem, A, Hagberg, CE, Muhl, L, Eriksson, U, Falkevall, A. Imaging of neutral lipids by oil red O for analyzing the metabolic status in health and disease. Nat Protoc. 2013; 8, 11491154.Google Scholar
51. Goodpaster, BH, He, J, Watkins, S, Kelley, DE. Skeletal muscle lipid content and insulin resistance: evidence for a paradox in endurance-trained athletes. J Clin Endocrinol Metabol. 2001; 86, 57555761.Google Scholar
52. Chiu, H-C, Kovacs, A, Ford, DA, et al. A novel mouse model of lipotoxic cardiomyopathy. J Clin Investig. 2001; 107, 813822.Google Scholar
53. Fukumoto, S, Fujimoto, T. Deformation of lipid droplets in fixed samples. Histochem Cell Biol. 2002; 118, 423428.Google Scholar
54. Stadtländer, CT. Scanning electron microscopy and transmission electron microscopy of mollicutes: challenges and opportunities. In Modern Research and Educational Topics in Microscopy (eds. Méndez-Vilas A, and Díaz J), 2007; pp. 122–131. Formatex; Badajoz, Spain.Google Scholar
55. de Jonge, N, Ross, FM. Electron microscopy of specimens in liquid. Nat Nanotechnol. 2011; 6, 695704.Google Scholar
56. Thiam, AR, Farese, RV Jr, Walther, TC. The biophysics and cell biology of lipid droplets. Nat Rev Mol Cell Biol. 2013; 14, 775786.Google Scholar
57. Binns, D, Januszewski, T, Chen, Y, et al. An intimate collaboration between peroxisomes and lipid bodies. J Cell Biol. 2006; 173, 719731.Google Scholar
58. Belazi, D, Sole-Domenech, S, Johansson, B, Schalling, M, Sjovall, P. Chemical analysis of osmium tetroxide staining in adipose tissue using imaging ToF-SIMS. Histochem Cell Biol. 2009; 132, 105115.Google Scholar
59. Orlova, EV, Sherman, MB, Chiu, W, et al. Three-dimensional structure of low density lipoproteins by electron cryomicroscopy. Proc Natl Acad Sci. 1999; 96, 84208425.Google Scholar
60. Kizilyaprak, C, Daraspe, J, Humbel, BM. Focused ion beam scanning electron microscopy in biology. J Microsc. 2014; 254, 109114.Google Scholar
61. Schertel, A, Snaidero, N, Han, HM, et al. Cryo FIB-SEM: volume imaging of cellular ultrastructure in native frozen specimens. J Struct Biol. 2013; 184, 355360.Google Scholar
62. Haider, M, Muller, H, Uhlemann, S, et al. Prerequisites for a Cc/Cs-corrected ultrahigh-resolution TEM. Ultramicroscopy. 2008; 108, 167178.Google Scholar
63. Flannigan, DJ, Zewail, AH. 4D electron microscopy: principles and applications. Acc Chem Res. 2012; 45, 18281839.Google Scholar
64. Charan, S, Chien, FC, Singh, N, Kuo, CW, Chen, P. Development of lipid targeting Raman probes for in vivo imaging of Caenorhabditis elegans. Chemistry. 2011; 17, 51655170.CrossRefGoogle ScholarPubMed
65. Evans, CL, Xie, XS. Coherent anti-Stokes Raman scattering microscopy: chemical imaging for biology and medicine. Ann Rev Anal Chem. 2008; 1, 883909.Google Scholar
66. Carter, EA, Tam, KK, Armstrong, RS, Lay, PA. Vibrational spectroscopic mapping and imaging of tissues and cells. Biophys Rev. 2009; 1, 95103.Google Scholar
67. Enejder, A, Brackmann, C, Axäng, C, Åkeson, M, Pilon, M. CARS microscopy for the monitoring of lipid storage in C. elegans. In Proceedings of Biomedical Optics (BiOS) 2008, International Society for Optics and Photonics, 2008, pp. 686012.Google Scholar
68. Czamara, K, Majzner, K, Pacia, M, et al. Raman spectroscopy of lipids: a review. J Raman Spectrosc. 2015; 46, 420.Google Scholar
69. Billecke, N, Bosma, M, Rock, W, et al. Perilipin 5 mediated lipid droplet remodelling revealed by coherent Raman imaging. Integr Biol. 2015; 7, 467476.Google Scholar
70. Sztalryd, C, Xu, G, Dorward, H, et al. Perilipin A is essential for the translocation of hormone-sensitive lipase during lipolytic activation. J Cell Biol. 2003; 161, 10931103.Google Scholar
71. Nan, X, Potma, EO, Xie, XS. Nonperturbative chemical imaging of organelle transport in living cells with coherent anti-Stokes Raman scattering microscopy. Biophys J. 2006; 91, 728735.Google Scholar
72. Song, YS, Won, YJ, Kim, DY. Time-lapse in situ fluorescence lifetime imaging of lipid droplets in differentiating 3T3-L1 preadipocytes with Nile Red. Curr Appl Phys. 2015; 15, 16341640.Google Scholar
73. Amaya, KR, Monroe, EB, Sweedler, JV, Clayton, DF. Lipid imaging in the zebra finch brain with secondary ion mass spectrometry. Int J Mass Spectrom. 2007; 260, 121127.Google Scholar
74. Colliver, TL, Brummel, CL, Pacholski, ML, et al. Atomic and molecular imaging at the single-cell level with TOF-SIMS. Anal Chem. 1997; 69, 22252231.Google Scholar
75. Chen, R, Hui, L, Sturm, RM, Li, L. Three dimensional mapping of neuropeptides and lipids in crustacean brain by mass spectral imaging. J Am Soc Mass Spectrom. 2009; 20, 10681077.Google Scholar
76. Chen, Y, Allegood, J, Liu, Y, et al. Imaging MALDI mass spectrometry using an oscillating capillary nebulizer matrix coating system and its application to analysis of lipids in brain from a mouse model of Tay-Sachs/Sandhoff disease. Anal Chem. 2008; 80, 27802788.Google Scholar
77. Kner, P, Sedat, JW, Agard, DA, Kam, Z. High-resolution wide-field microscopy with adaptive optics for spherical aberration correction and motionless focusing. J Microsc. 2010; 237, 136147.Google Scholar
78. Huang, B, Bates, M, Zhuang, X. Super-resolution fluorescence microscopy. Ann Rev Biochem. 2009; 78, 9931016.Google Scholar
79. Huang, B, Wang, W, Bates, M, Zhuang, X. Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy. Science. 2008; 319, 810813.Google Scholar
80. Schmidt, R, Wurm, CA, Jakobs, S, et al. Spherical nanosized focal spot unravels the interior of cells. Nat Methods.. 2008; 5, 539544.Google Scholar
81. Stehbens, S, Pemble, H, Murrow, L, Wittmann, T. Imaging intracellular protein dynamics by spinning disk confocal microscopy. Methods Enzymol. 2012; 504, 293313.Google Scholar
82. Li, S, Hu, P, Malmstadt, N. Confocal imaging to quantify passive transport across biomimetic lipid membranes. Anal Chem. 2010; 82, 77667771.Google Scholar
83. Santi, PA. Light sheet fluorescence microscopy: a review. J Histochem Cytochem. 2011; 59, 129138.Google Scholar
84. Girstmair, J, Zakrzewski, A, Lapraz, F, et al. Light-sheet microscopy for everyone? Experience of building an OpenSPIM to study flatworm development. BMC Dev Biol. 2016; 16, 22.Google Scholar
85. Royer, LA, Lemon, WC, Chhetri, RK, et al. Adaptive light-sheet microscopy for long-term, high-resolution imaging in living organisms. Nat Biotechnol. 2016; 34, 12671278.Google Scholar
86. Greenspan, P, Mayer, EP, Fowler, SD. Nile red: a selective fluorescent stain for intracellular lipid droplets. J Cell Biol. 1985; 100, 965973.Google Scholar
87. Singh, R, Kaushik, S, Wang, Y, et al. Autophagy regulates lipid metabolism. Nature. 2009; 458, 11311135.Google Scholar
88. Sinha, RA, You, S-H, Zhou, J, et al. Thyroid hormone stimulates hepatic lipid catabolism via activation of autophagy. J Clin Invest. 2012; 122, 24282438.Google Scholar
89. Shibata, M, Yoshimura, K, Furuya, N, et al. The MAP1-LC3 conjugation system is involved in lipid droplet formation. Biochem Biophys Res Commun. 2009; 382, 419423.Google Scholar
90. Koga, H, Kaushik, S, Cuervo, AM. Altered lipid content inhibits autophagic vesicular fusion. FASEB J. 2010; 24, 30523065.Google Scholar
91. Hölttä‐Vuori, M, Uronen, RL, Repakova, J, et al. BODIPY‐Cholesterol: a new tool to visualize sterol trafficking in living cells and organisms. Traffic. 2008; 9, 18391849.Google Scholar
92. Ishitsuka, R, Sato, SB, Kobayashi, T. Imaging lipid rafts. J Biochem. 2005; 137, 249254.Google Scholar
93. O’Rourke, EJ, Soukas, AA, Carr, CE, Ruvkun, G. C. elegans major fats are stored in vesicles distinct from lysosome-related organelles. Cell Metab. 2009; 10, 430435.Google Scholar
94. Bader, C, Carter, E, Safitri, A, et al. Unprecedented staining of polar lipids by a luminescent rhenium complex revealed by FTIR microspectroscopy in adipocytes. Mol Biosyst. 2016; 12, 20642068.Google Scholar
95. Bader, CA, Brooks, RD, Ng, YS, et al. Modulation of the organelle specificity in Re(i) tetrazolato complexes leads to labeling of lipid droplets. RSC Adv. 2014; 4, 1634516351.Google Scholar
96. Bader, CA, Shandala, T, Carter, EA, et al. A molecular probe for the detection of polar lipids in live cells. PloS One. 2016; 11, E0161557.Google Scholar
97. Bader, CA, Sorvina, A, Simpson, PV, et al. Imaging nuclear, endoplasmic reticulum and plasma membrane events in real time. FEBS Lett. 2016; 590, 30513060.Google Scholar
98. Lo, K, Choi, A, Law, W. Applications of luminescent inorganic and organometallic transition metal complexes as biomolecular and cellular probes. Dalton Trans. 2012; 41, 60216047.Google Scholar
99. Svoboda, K, Yasuda, R. Principles of two-photon excitation microscopy and its applications to neuroscience. Neuron. 2006; 50, 823839.Google Scholar
100. Hackett, MJ, McQuillan, JA, El-Assaad, F, et al. Chemical alterations to murine brain tissue induced by formalin fixation: implications for biospectroscopic imaging and mapping studies of disease pathogenesis. Analyst. 2011; 136, 29412952.Google Scholar
Figure 0

Fig. 1 There is a wide range of analytical techniques for studying lipids. Biochemical methods can be used for precise quantification of specific lipid subtypes/species, whereas emerging imaging modalities can permit the study of lipids in live cells.