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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Results
  • Discussion
  • Disclosures
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Lipids are known to play an important role in cellular functions. Here, we describe a method to determine the lipid composition of neutrophils, with emphasis on the cholesterol level, by using both HPTLC and HPLC to gain a better understanding of the underlying mechanisms of neutrophil extracellular trap formation.

Abstract

Lipid analysis performed by high performance thin layer chromatography (HPTLC) is a relatively simple, cost-effective method of analyzing a broad range of lipids. The function of lipids (e.g., in host-pathogen interactions or host entry) has been reported to play a crucial role in cellular processes. Here, we show a method to determine lipid composition, with a focus on the cholesterol level of primary blood-derived neutrophils, by HPTLC in comparison to high performance liquid chromatography (HPLC). The aim was to investigate the role of lipid/cholesterol alterations in the formation of neutrophil extracellular traps (NETs). NET release is known as a host defense mechanism to prevent pathogens from spreading within the host. Therefore, blood-derived human neutrophils were treated with methyl-β-cyclodextrin (MβCD) to induce lipid alterations in the cells. Using HPTLC and HPLC, we have shown that MβCD treatment of the cells leads to lipid alterations associated with a significant reduction in the cholesterol content of the cell. At the same time, MβCD treatment of the neutrophils led to the formation of NETs, as shown by immunofluorescence microscopy. In summary, here we present a detailed method to study lipid alterations in neutrophils and the formation of NETs.

Introduction

Lipids have been shown to play important roles in cell homeostasis, cell death, host-pathogen interactions, and cytokine release1. Over time, interest for and knowledge on the impact of lipids in host-pathogen interactions or inflammation have increased, and several publications confirm the central role of certain lipids, especially the steroid cholesterol, in cellular responses. Pharmacological treatment with statins, which are used as inhibitors of cholesterol biosynthesis by blocking 3-hydroxy-3-methylglutaryl-coenzym-A-reductase (HMG-CoA-reductase), can act as anti-inflammatory agents by lowering the serum levels of interleukin 6 and C-reactive protein2. Cholesterol- and glycosphingolipid-enriched structures can be used by several pathogens, such as bacteria and viruses, as a gateway into the host3,4,5,6. Sphingolipids (e.g., sphingomyelin) have been shown to be used by pathogens to promote their pathogenicity7. In macrophages, mycobacteria use cholesterol-enriched domains for entering cells; a depletion of cholesterol inhibits mycobacterial uptake8. Furthermore, infection of macrophages with Francisella tularensis, a zoonotic agent responsible for tularemia (also known as rabbit fever)9, led to an infection that was abolished when cholesterol was depleted from the membranes10. Similarly, the invasion of host cells by Escherichia coli via lipid-rich structures was demonstrated to be cholesterol-dependent4. Moreover, Salmonella typhimurium infection experiments of epithelial cells demonstrated that cholesterol is essential for pathogen entry into the cells11. Cholesterol depletion inhibited the uptake of Salmonella11. Furthermore, a recent study by Gilk et al. demonstrated that cholesterol plays an important role in the uptake of Coxiella burnetti12. Additionally, Tuong et al. found that 25-hydroxycholesterol plays a crucial role in phagocytosis by lipopolysaccharide (LPS)-stimulated macrophages13. Phagocytosis was reduced when macrophages were pharmacologically treated to deplete cholesterol14. Thus, cholesterol and other lipids seem to play an important role in infection and inflammation, since their depletion can reduce the risk of invasion from several pathogens10,11,12.

Recently, we were able to show that lipid alterations, especially the depletion of cholesterol from the cell, induce the formation of neutrophil extracellular traps (NETs) in human blood-derived neutrophils15. Since the discovery of NETs in 2004, they have been shown to play critical roles in bacterial entrapment, and thus in hindering the spread of infection16,17. NETs consist of a DNA backbone associated with histones, proteases, and antimicrobial peptides16. The release of the NETs by neutrophils can be induced by invading pathogens18,19 and chemical substances such as phorbol-myristate-acetate (PMA) or statins16,20. However, the detailed cellular mechanisms, and especially the role of lipids in this process, are still not entirely clear. The analysis of lipids can lead to a better understanding of the mechanisms involved in a wide variety of cellular processes and interactions, such as the release of NETs. Cholesterol and sphingomyelin are vital constituents of the cell membrane and lipid microdomains, where they add stability and facilitate the clustering of the proteins involved in protein trafficking and signaling events21. To investigate the mechanistic role of certain lipids, amphiphilic pharmacological agents, such as the cyclic oligosaccharide methyl-β-cyclodextrin (MβCD), can be used to alter the lipid composition of a cell and to reduce cholesterol in vitro15. Here, we present a method to use HPTLC to analyze the lipid composition of neutrophils in response to MβCD. HPLC was used to confirm the level of cholesterol in the neutrophil population. Furthermore, we describe a method to visualize the formation of NETs by immunofluorescence microscopy in human blood-derived neutrophils in response to MβCD.

Protocol

The collection of the peripheral blood in this protocol was approved by the local human research ethics commission. All human subjects provided their written informed consent.

1. Isolation of Human Blood-derived Neutrophils by Density Gradient Centrifugation

  1. Isolation of human blood-derived neutrophils
    1. Layer ~20 mL of blood onto 20 mL of sodium diatrizoate/dextran solution near a flame and without mixing.
    2. Centrifuge for 30 min at 470 x g without brake.
    3. Remove the mononuclear cells and the yellowish plasma layer. Transfer the polymorphonuclear cell (PMN) phase (second phase with accumulating cells; Figures 1 and 2) into a new 50 mL tube and fill it up to 50 mL with 1x phosphate-buffered saline (PBS).
    4. Centrifuge for 10 min at 470 x g with brake.
    5. Remove the supernatant and resuspend the pellet in 5 mL of sterile water for 5 s to lyse the erythrocytes.
    6. Immediately fill up to 50 mL with 1x PBS and centrifuge for 10 min at 470 x g.
    7. Remove the supernatant. The pellet should be white. If it is still red, repeat steps 1.1.5 and 1.1.6.
    8. Resuspend the pellet in 1,000 µL of Roswell Park Memorial Institute (RPMI) medium. Count the cell number using trypan blue staining in a hemocytometer under a light microscope.
    9. Prepare a cell suspension in RPMI at a concentration of 2 x 106/mL. Approximately 2.5 x 107 neutrophils can be harvested from 20 mL of blood.
  2. Pharmacological treatment of neutrophils for lipid analysis
    1. Use 5 x 107 cells from step 1.1.9. Adjust the cell number in pure Hank´s Balanced Salt Solution (HBSS) medium in the presence or absence of 10 mM MβCD or 25 nM PMA in a total volume of 300 µL in a 1.5 mL reaction tube.
    2. Incubate the samples in the reaction tubes for 2 h at 37 °C and 5% CO2.
    3. Centrifuge for 10 min at 470 x g with brake.
    4. Remove the supernatant and resuspend the cell pellet in 300 µL of HBSS.
    5. Centrifuge for 10 min at 470 x g with brake.
    6. Resuspend the cell pellet in 1 mL of chloroform/methanol (1:1), homogenize it with a 26-G cannula by sucking the sample in and out into a 1 mL syringe 10 times, and store the samples at -20 °C.
  3. Pharmacological treatment of neutrophils for NET quantification by immunofluorescence
    1. Prepare poly-L-Lysine-coated 48-well plates with glass coverslips.
      1. Place one 8-mm glass coverslip in each well, add 55 µL of sterile 0.01% Poly-L-Lysine, and incubate for ~20 min at room temperature (RT).
    2. Wash twice with 200 µL of 1x PBS. Store the plates with 200 µL of 1x PBS per well in a refrigerator until required.
    3. Carefully add 100 µL of cell suspension (2 x 105/100 µL) from step 1.1.9 per well in the center of each coverslip.
    4. Add 100 µL per well of either the final 10 mM MβCD or the final 25 nM PMA.
    5. Centrifuge for 5 min at 370 x g with brake.
    6. Incubate for 2 h at 37 °C and 5% CO2.
    7. Centrifuge for 5 min at 370 x g with brake.
    8. Fix the cells with 155 µL of 4% PFA, wrap them in plastic paraffin film, and store them overnight at 4 °C or for 10 min at RT.
      NOTE: For data on NET formation induced by MβCD, see Neumann et al.15.

2. Lipid Isolation and Analysis of Human Blood-derived Neutrophils

  1. Isolate the lipids from the human peripheral blood-derived neutrophils based on Bligh and Dyer22 and Brogden et al.23
    1. Take neutrophils from step 1.2.6 and place them on ice.
    2. On ice, pipette the neutrophils (present in methanol and chloroform solution) to a 15 mL screw-cap glass tube with a polytetrafluoroethylene (PTFE) seal and homogenize them by shaking for 1 min. Use glass tubes to prevent the lipids from binding to plastic surfaces. Use PTFE caps to prevent contamination from rubber/plastic.
    3. Add 2 mL of methanol followed 1 min later by 1 mL of chloroform. Shake again for 1 min.
    4. Rotate the glass tubes at RT and 50 rpm for 30 min.
    5. Pellet the protein fraction by centrifuging the solution at 7 °C and 1,952 x g for 10 min.
    6. Carefully decant the supernatant into a new 15 mL glass screw-cap tube, leaving the protein-containing pellet behind. Store the pellet at -20 °C for future quantification.
    7. Add 1 mL of chloroform, wait 1 min, add 1 mL of double-distilled water, and invert the glass screw-cap tube with the sample for 30 s.
    8. Centrifuge at 7 °C and 1,952 x g for 10 min and discard the upper phase, down to, but not including, the cloudy layer.
    9. If required, perform an optional further purification step by repeating step 2.1.8.
    10. Dry the samples in a vacuum concentrator at 60 °C and store them at -20 °C until required.
  2. High performance thin layer chromatography (HPTLC) to semi-quantify the amount of several lipids, including cholesterol, phospholipids, and sphingomyelin
    1. Prepare the following four running solutions and staining solution.
      1. Solution 1: Mix ethyl acetate (26.6%), 1-propanol (26.6%), chloroform (26.6%), methanol (26.6%), and potassium chloride (9.6%). Prepare KCl by dissolving 0.25 g of KCl in 100 mL of HPLC-quality water.
      2. Solution 2: Mix n-hexane (73%), diethyl ether (23%), and citric acid (2%).
      3. Solution 3: 100% n-hexane.
      4. Prepare the staining solution by mixing distilled water (90 mL) with 7.5 g of copper sulphate, and then add 10 mL of phosphoric acid.
    2. Fill up to 5 mm of each solution in a separate glass chamber. Add any kind of filter paper to increase the running speed in each chamber.
    3. Pre-incubate a 20 x 10 cm HPTLC silica gel 60 glass plate in the first running solution until the running solution reaches the top of the plate. Then dry it for 10 min at 110 °C.
      NOTE: These plates can be stored for future use in aluminum foil and dried for 10 min at 110 °C prior to use.
    4. Dissolve the lipid pellet obtained from step 2.1.10 in 200 µL of chloroform/methanol (1:1) solution and incubate for 15 min at 37 °C to dissolve.
    5. Use a ruler and a soft pencil to mark the loading spots for the desired number of samples, plus at least one standard. Mark the running distance at approximately 4 cm and 6 cm for the first and second running solution, respectively.
    6. To load the samples, wash the 10 µL syringe 3 times in chloroform/methanol (1:1) prior to loading each new sample. Load 10 µL of each sample drop-wise, trying to concentrate the sample on as small an area as possible. Samples should be loaded at least in duplicates.
    7. Place the plate vertically into the first chamber with running solution 1 (step 2.2.1.1). Ensure that the plate is parallel to the wall of the glass chamber to achieve a uniform migration speed.
    8. Once the solvent line has reached the first mark, remove the plate, dry it, and place it in the second solution. Repeat similar steps for the second and for the third running solutions; leave the plate in the solution until the solvent front reaches the top of the plate, then remove and dry it at RT for 1 min.
    9. Place plate in copper sulphate solution for 7 s. Remove the plate, dry it thoroughly, and bake it in an oven for 7 min at 170 °C. Wait for the plate to cool.
    10. Using a thin layer chromatography and gel analysis software, as well as an image processing software, scan and analyze as described previously by Brogden et al.23.
  3. High performance liquid chromatography (HPLC) to quantify the amount of cholesterol
    1. Attach a 100 x 4.6 mm column to a 5 µm/4.6 mm guard cartridge and heat it to 32 °C. Use methanol as the mobile phase at a flow rate of 1 mL/min at 65 bar and a UV detector measuring at 202 nm to quantify the amount of cholesterol in each sample.
    2. Wash the HPLC machine thoroughly prior to analyzing the samples, performing the following steps: cleaning the pump, washing the needle, rinsing the pot, purging the syringe, and washing the pump purge. Wash all with water. Lastly, perform a system purge with methanol at a flow rate of 5 mL/min for 5 min.
    3. To establish a cholesterol standard curve, prepare at least 4 concentrations ranging from 0.05 mg/mL to 2 mg/mL of cholesterol in chloroform/methanol (1:1)24.
    4. Resuspend the samples obtained from step 2.1.10 in 500 µL of chloroform/methanol (1:1) in amber-colored 1.5 mL glass bottles with screw-top red PTFE/white silicone lids.
    5. Quantify the cholesterol concentrations using the standard prepared in step 2.3.3.
      NOTE: Fill in the sampling protocol, starting with at least one standard and one negative control, followed by the samples.
    6. Express the results as the area under the curve and compare between appropriate samples using any statistical software.
      NOTE: Results can also be quantified against a standard curve and can be shown as the total cholesterol amount per mL, g, or number of cells. The standard curve equation should be calculated by using the values obtained in step 2.3.3.

3. Visualization and Quantification of NETs

  1. Visualization of NETs
    NOTE: The visualization of NETs is based on previously-published work by Neumann et al.15.
    1. Wash the fixed samples from step 1.3.8 3 times with 200 µL of 1x PBS.
    2. Block and permeabilize with 100 µL of 2% BSA, 0.2% Triton X-100 in PBS per well for 45 min at RT.
    3. Add 100 µL of primary antibodies: mouse monoclonal anti DNA-histone 1-antibody (dilute the stock with 2.2 mg/mL 1:5,000 in PBS containing 2% BSA and 0.2% Triton X-100) or polyclonal antibody against myeloperoxidase (MPO; rabbit anti-MPO; dilute 1:300 in PBS containing 2% BSA and 0.2% Triton X-100). Incubate overnight at 4 °C.
    4. Wash 3 times with 200 µL of 1x PBS.
    5. Add 100 µL of the secondary antibody (fluorescence-labelled goat anti-mouse; 1:1,000 in BSA-PBS-Triton X-100 and goat anti-rabbit; 1:1,000 BSA-PBS-Triton X-100) for 1 h at RT in the dark.
    6. Wash 3 times with 200 µL of 1x PBS.
    7. Remove coverslips using tweezers and place them face down with 3 µL of mounting medium containing DAPI on glass slides.
    8. Examine the samples using a confocal inverted-base fluorescence microscope equipped with a HCX PL APO 40X 0.75-1.25 oil immersion objective15.
  2. Quantification of the NET-releasing nuclei
    1. Open an image processing software (e.g., ImageJ) and drag and drop picture of interest into the tool bar.
    2. Click on "Plugins," "Analyze," and "Cell counter."
    3. Press the "Initialize" button in the counter window and choose a counter type (e.g., click on 7 in red for NET-releasing cells and 8 in yellow for non-releasing cells, as displayed in Figure 6B-i and ii).
      NOTE: The criteria for NET-positive cells: Positively stained green nucleus + a less dense nucleus (loss of lobulation) or a loss of the round shape of the nucleus + an increased size of the nucleus, or an occurrence of a distinct extracellular off-shoot.
    4. Click every cell adhering to the above criteria and write the counted cell number into a data sheet of an analysis software.
    5. Calculate the percentage of NET-releasing cells using the counted cell numbers of NET-releasing and non-releasing cells.

Results

Human blood-derived neutrophils were isolated by density gradient centrifugation (Figure 2). To investigate the effect of lipid alterations on neutrophils, the cells were treated with 10 mM MβCD, which depletes cholesterol from the cell. Subsequently, the lipids were isolated from the samples by Bligh and Dyer (Figure 1, left panel), as described by Brogden et al.23. The prepared lipid samples were loaded onto silica ...

Discussion

The methods described here can be used to analyze specific lipids, such as cholesterol, by HPTLC or HPLC and to investigate the effects of pharmacological lipid alterations on the formation of NETs (see Neumann et al.15).

HPTLC is a relatively cost-effective and simple method to analyze a broad range of lipids in a large number of samples. This method has been used in many research areas, including antibiotic quantification25, lipid stor...

Disclosures

The authors have nothing to disclose.

Acknowledgements

This work was supported by a fellowship of the Akademie für Tiergesundheit (AfT) and a fellowship from the PhD program, "Animal and Zoonotic Infections," of the University of Veterinary Medicine, Hannover, Germany, provided to Ariane Neumann.

Materials

NameCompanyCatalog NumberComments
Neutrophil isolation, NET staining and quantification
Alexa Flour 633 goat anti-rabbit IgGInvitrogenA-21070
Anti-MPOα antibodyDakoA0398
BSASigma-Aldrich3912-100G
Marienfeld-Neubauer improved counting chamberCeleromicsMF-0640010
Confocal microscope TCS SP5 AOBS with tandem scannerLeicaDMI6000CS
Dulbecco´s PBS 10xSigma-AldrichP5493-1LDilute 1:10 in water for 1x working solution
Dy Light 488 conjugated highly cross-absorbedThermo Fisher Scientific35503
ExcelMicrosoft2010
DNA/Histone 1 antibodyMilliporeMAB3864
ImageJNIH1.8http://imagej.nih.gov/ij/
Light microscopeVWR630-1554
Methyl-β-cyclodextrinSigma-AldrichC4555-1G
PFACarl Roth0335.3dissolve in water, heat up to 65 °C and add 1 N NaOH to clear solution
PMASigma-AldrichP8139-1MGStock 16 µM, dissolved in 1x PBS
Poly-L-lysineSigma-AldrichP4707
PolymorphprepAXIS-SHIELDAN1114683
ProLong Gold antifade reagent with DAPIInvitrogenP7481
Quant-iT PicoGreen dsDNA ReagentInvitrogenP7581
RPMI1640PAAE 15-848
HBSS with CaCl and MgSigmaH6648
Triton X-100Sigma-AldrichT8787-50ml
TrypanblueInvitrogen15250-0610.4% solution
WaterCarl Roth3255.1endotoxin-free
NameCompanyCatalog Number Comments
Lipid isolation and analysis
1-propanolSigma-Aldrich33538
10 µL syringeHamilton701 NR 10 µl
Diethyl etherSigma-Aldrich346136
Ethyl acetateCarl Roth7336.2
Canullla 26 GBraun4657683
Copper(II)sulphatepentahydrateMerck1027805000
ChloroformCarl Roth7331.1
CP ATLAS softwareLazarsoftware2.0
Chromolith HighResolution RP-18 endcapped 100-4.6 mm columnMerck152022
High Performance Liquid Chromatograph ChromasterHitachiHITA 892-0080-30YParamaters are dependent on individual HPLC machine
HPLC UV DetectorHitachi5410
HPLC Column OvenHitachi5310
HPLC Auto SamplerHitachi5260
HPLC PumpHitachi5160
MethanolCarl Roth7342.1
n-HexaneCarl Roth7339.1
Phosphoric acidSigma-Aldrich30417
Potassium chlorideMerck49,361,000
PottersLAT Garbsen5 ml
SDSCarl RothCN30.3
HPTLC silica gel 60Merck105553
Vacufuge plus basic deviceEppendorf22820001
Corning Costar cell culture 48-well plate, flat bottomSigmaCLS3548
CoverslipThermo Fisher Scientific1198882
Glass slideCarl Roth1879
BD Tuberculin Syringe Only 1 mLBD Bioscience309659

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