Brake dust exposure exacerbates inflammation and transiently compromises phagocytosis in macrophages. Liza Selley 1#, Linda Schuster 2,3#, Helene Marbach 2, Theresa Forsthuber 2, Ben Forbes 2, Timothy W.Gant 4,5, Thomas Sandstrom 6, Nuria Camiña 7, Toby J. Athersuch 5,8, Ian Mudway 7,9, Abhinav Kumar2 1. MRC Toxicology Unit, University of Cambridge, MRC Toxicology Unit, Hodgkin Building, PO Box 138, University of Cambridge, Tennis Court Road, Cambridge, CB2 1, UK. 2. Institute of Pharmaceutical Science, Faculty of Life Sciences and Medicine, King’s College London, London, SE1 9NH, UK. 3. German Cancer Research Center (DKFZ) & Bioquant Center, Division of Chromatin Networks, 69120 Heidelberg, Germany 4. Department of Toxicology, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, OX11 0RQ, UK. 5. MRC-PHE Centre for Environment and Health, Imperial College, London W2 1PG, UK. 6. Department of Public Health and Clinical Medicine, Division of Medicine, Umeå University, Umeå, Sweden. 7. MRC-PHE Centre for Environment and Health, King’s College London, London, SE1 9NH, UK. 8. Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK. 9. Department of Analytical and Environmental Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, SE1 9NH, UK. #denotes equal contribution to authorship Liza Selley: ls802@mrc-tox.cam.ac.uk Linda Schuster: linda.schuster@dkfz-heidelberg.de Helene Marbach: helenemarbach@gmx.de Theresa Forsthuber: a1107500@unet.univie.ac.at Ben Forbes: ben.forbes@kcl.ac.uk Timothy W. Gant: tim.gant@phe.gov.uk Thomas Sandstrom: thomas.sandstrom@umu.se Nuria Camiña: nuria.camina@kcl.ac.uk Toby J. Athersuch: toby.athersuch@imperial.ac.uk Ian Mudway: ian.mudway@kcl.ac.uk Abhinav Kumar: notabhinav@gmail.com Corresponding author – Liza Selley MRC Toxicology Unit Hodgkin Building PO Box 138 University of Leicester Lancaster Road, Leicester LE1 9HN, UK Email: ls802@mrc-tox.cam.ac.uk Significance to Metallomics Metal/metalloid content is consistently associated with the capacity of tailpipe-derived particulates to cause cellular stress and inflammation in the airways. Here, we demonstrate that exposure to brake dust (a richly metallic, non-tailpipe-derived, wear particle) also impairs the ability of immune cells to ingest respiratory pathogens and enhances inflammatory signalling in a transient but metal-dependent manner. Abstract Studies have emphasised the importance of combustion-derived particles in eliciting adverse health effects, especially those produced by diesel vehicles. In contrast, few investigations have explored the potential toxicity of particles derived from tyre and brake wear, despite their significant contributions to total roadside particulate mass. The objective of this study was to compare the relative toxicity of compositionally distinct brake abrasion dust (BAD) and diesel exhaust particles (DEP) in a cellular model that is relevant to human airways. Although BAD contained considerably more metals/ metalloids than DEP (as determined by inductively coupled plasma mass spectrometry) similar toxicological profiles were observed in U937 monocyte-derived macrophages following 24h exposures to 4-25 µg/ml doses of either particle type. Responses to the particles were characterised by dose-dependent decreases in mitochondrial depolarisation (p ≤ 0.001), increased secretion of IL-8, IL-10 and TNF-α (p ≤ 0.05- p ≤ 0.001) and decreased phagocytosis of S.aureus (p ≤ 0.001). This phagocytic deficit recovered, and the inflammatory response resolved when challenged cells were incubated for a further 24h in particle-free media. These responses were abrogated by metal chelation using desferroxamine. At minimally cytotoxic doses both DEP and BAD perturbed bacterial clearance and promoted inflammatory responses in U937 cell with similar potency. These data emphasise the requirement to consider contributions of abrasion particles to traffic-related clinical health effects. Key words Brake abrasion dust, diesel exhaust particles, macrophages, phagocytosis, inflammation, metals, cytotoxicity. Abbreviations AA – Ascorbic acid ANOVA – Analysis of variance BALF – Bronchoalveolar lavage fluid BAD – Brake abrasion dust BCA – Bicinchoninic acid CFU – Colony forming units CM – Cell culture media CV – Commercial vehicle DFO – Desferroxamine DEP – Diesel exhaust particle DLS – Dynamic light scattering ELISA – Enzyme linked immunosorbent assay GSH – Glutathione (reduced) ICP-MS – Inductively coupled plasma- mass spectrometry IL-8 – Interleukin-8 IL-10 – Interleukin-10 LPS – Lipopolysaccharide MHB – Mueller Hinton broth MDM – Monocyte-derived macrophages MTT – 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide NAO – Non-asbestos organic PDI – Polydispersity index PM – Particulate matter PM10 – Particulate matter up to 10 μm in diameter PM2.5 – Particulate matter up to 2.5 μm in diameter PMA – Phorbol 12-myristate 13-acetate PAH – Polyaromatic hydrocarbons PBS – Phosphate buffered saline PDI – Polydispersity indices ROS – Reactive oxygen species RTLF – Respiratory tract lining fluid SE – Standard error of the mean SEM – Scanning electron microscopy SRM-2975– Standard reference material 2975 S.aureus – Staphylococcus aureus TNF- – Tumour necrosis factor - α Introduction Residential proximity to roads, particularly those carrying high proportions of diesel traffic, has been associated with increased mortality rates, exacerbations of respiratory disease, increased cardiovascular symptoms (1) and adverse impacts on lung development and cognition in children (2,3). Traffic-derived pollution represents a heterogeneous mixture of gases and particulates, produced by fuel combustion and lubricant volatilisation, wear of mechanical components and abrasion of the road surface (4). To date, diesel exhaust has been the major focus of investigations into traffic-derived particulate toxicity. This focus has been supported by epidemiological studies which demonstrate significant associations between adverse health outcomes/endpoints and tracers of diesel tailpipe emissions (5,6). Additionally, concurrent in vitro and in vivo experimentation has demonstrated the capacity of diesel exhaust particles (DEP) to stimulate xenobiotic and antioxidant defences, redox-sensitive signalling pathways, inflammatory cascades and the activation of airway nerve fibres (7–10). In contrast, the toxic potential of non-tailpipe particulates, such as those produced by brake, tyre or clutch wear has received little attention. Brake abrasion dust (BAD) is the most abundant non-tailpipe particulate measured in urban areas (11,12), contributing up to 55% of non-tailpipe PM10 (13) and 21% of total traffic PM10 (14), with the contribution forecast to increase relative to tailpipe PM, as emission regulations for diesel vehicles tighten (4). Often portrayed as coarse mode PM, abrasion-derived particles also exist within the respirable fine and ultrafine fractions (15) giving them potential to penetrate the distal lung, deposit in respiratory tract lining fluids (RTLFs) and interact with resident phagocytes and epithelial cells. Unlike tailpipe-derived particles, BAD is rich in metals (4), many of which (e.g. Fe and Cu) can catalyse the formation of reactive oxygen species (ROS) within the oxygen-rich conditions of the RTLFs, thus challenging the high concentrations of low molecular weight antioxidants (glutathione, urate and α-tocopherol), antioxidant enzymes (superoxide dismutase and catalase) and metal-binding proteins (transferrin and caeruloplasmin), which exist to protect the epithelial surface from oxidative attack (16). Indeed, within cell-free systems, BAD displays greater capacity to elicit damaging oxidation reactions than DEP (17). Despite associations existing between occupational metal fume exposures and inflammatory pulmonary pathophysiologies (including metal fume fever which has been recognised since the 1950’s) (18), very few publications have explored the direct adverse effects of BAD exposure in pulmonary models. Employing mechanistic understanding of how such occupational pathophysiologies develop (18), those that have, focus predominantly on the pro-inflammatory and oxidative stress-inducing potential of the particles. Mimicking exposure of the alveolar epithelium, Gasser et al. demonstrated that the metallic fraction of BAD induces pro-inflammatory signalling and disrupts tight junction integrity in A549 cells (19). A comparatively reduced inflammatory response was documented in Calu-3 bronchial epithelial cells following exposure to Fe and Cu-rich BAD, but increases in IL-6 secretion did associate with ROS production following exposure to concentrations greater than 50µg/cm2 (20). Using a mouse inhalation model, Gerlofs-Nijland et al. found that the fine fraction of BAD also induced pro-inflammatory responses in vivo following acute (1.5-6h) exposures of up to 9mg/m3. Based upon influx of circulating immune cells (polymorphonucleocytes) and concentrations of cytokines secreted into the bronchiolar lavage fluid (BALF) by these and by resident airway phagocytes and epithelial cells, the authors found that particles produced by low and semi-metallic brake pads induced pulmonary inflammation at a similar dose to DEP and tyre wear, but exhibited lower potency than particles produced through biomass combustion. BAD produced from non-asbestos organic (NAO) brake pads was found to be the most potent of all particles tested: a result that the authors attribute to its high copper content (21). Other studies have attributed toxicological endpoints to BAD and general abrasion-related particles by examining the toxicity of roadside PM, with and without the use of metal chelators to try and isolate the metal-dependent signature. Using this approach, the metal content of roadside PM in samples collected throughout Europe was shown to be related to the capacity of RAW264.7 monocyte-derived macrophages (MDM) to release arachidonic acid metabolites (22). Other within-city and pan-national studies have shown that the capacity of ambient PM to elicit damaging oxidation reactions is strongly related to their content of brake-wear related metals, such as Cu, Ba and Sb (23–25). Susceptibility to pulmonary infections remains unexamined in the context of BAD exposure, but exposure to metal-rich aerosols (especially those containing Fe, Cr, Al and Ti) has been associated with increased mortality from pneumonia in welders and foundry workers (26,27) and impairment of bacterial phagocytosis in airway phagocytes (36, 37). Given the metallic, Fe-rich composition of BAD, it is therefore possible that these and other metal-rich vehicle-derived particles could contribute to the heightened incidence of pulmonary infections that exists in urban environments (30,31). In the current study, we used the U937 monocyte-derived macrophage cell line to perform side-by-side characterisations of the toxicity that BAD and diesel exhaust particles exert on airway macrophages (phagocytes found resident to the alveolar lumen surface during homeostasis). The work explored endpoints additional to inflammatory potential that had previously been shown to be perturbed by diesel particulate challenge: mitochondrial dysfunction, cell morphometry as an indicator of apoptosis or necrosis and phagocytic competence. We hypothesised that both particle types would perturb cell function, but that there would be significant differences in response, reflecting the marked compositional difference between the particle species. Methods Materials: SRM-2975 DEPs were purchased from National Institute of Standards and Technology and mixed BAD sample was extracted from a bag filter taken from the ventilation duct of the SMP Svensk Maskinprovning machinery testing plant (Långsele, Sweden). The filter contained a yearly collection of abrasion dusts collected from drum brakes that are used in buses and trucks in Europe (and elsewhere) and produced under conditions representative of urban driving and high-speed braking conditions (Supplementary file 1). Unless stated, other materials were sourced from Sigma Aldrich (USA). Particle size measurement using dynamic light scattering (DLS): The hydrodynamic diameter of 14 µg/ml BAD and SRM-2975 in culture media (without phenol red) was measured after 0, 4 and 24h of incubation at 37°C in humidified 5% CO2, 95% atmospheric air (standard conditions). Particle size was measured using a Malvern Zetasizer Nano ZS (Malvern Instruments, UK) at a temperature of 25°C. Each sample was measured over 3 runs with each run consisting of 6 individual readings. Visual assessment of particles using Scanning Electron Microscopy (SEM): BAD (collected after methanol extraction and prior to suspension in PBS) were gold plated using an EMITECH K550 sputter coater and imaged using a FEI Quanta200 Emission Scanning Electron Microscope (Field Electron and Ion Company, USA). Quantification of metals/metalloids in PM samples and biological matrices by inductively coupled plasma mass spectrometry (ICP-MS): The metal/metalloid content of BAD, SRM-2975 and cell lysates was characterised by ICP-MS. Cell lysates were collected by washing the monolayer 3x in PBS then rocking for 1h in ultrapure chelex-100 treated H2O. All PM samples and cell lysates were taken through an identical digestion protocol, as PM was visible in the material recovered from the cell challenges. 100 l of PM suspension (50 μg/ml solutions of BAD and SRM 2975 prepared in ultrapure chelex-100 treated H2O) or cell lysate was added to 0.9 ml of aqua regia (1:3 HNO3 (60%): HCL (30%), both Ultrapure grade, from Merck, UK). After addition of 70 l of Yttrium (stock solution, 1ppm, SCP Science, France) as an internal standard (I.S.), samples were mixed and incubated for 90 minutes at 100oC. Blank digestions were performed with 1 ml chelex-100 treated H2O spiked with the I.S. After cooling to room temperature, the digests were diluted with 6 ml chelex-100 treated H2O. Samples were then transferred to the Mass Spectroscopy Unit at King’s College London for the quantification of Al (isotope 27; natural abundance 100%), As (75, 100%), Ba (135; 6.95%), Cu (63; 69.17%), Fe (56; 91.75%), Mn (55; 100%), Mo (95; 15.92%), Ni (60; 26.22%), Cr (52; 83.79%), V (51; 99.75%), Sb (121; 57.21%), Zn (66; 27.90%), Cd (111, 12.80%), Ti (47, 7.44%), Ca (44, 2.08%), W (184, 30.64%), Sn (118, 24.22%) and Y (89, 100%) by ICP-MS using a NexION 350D ICP-MS (PerkinElmer, UK). Elemental concentrations were determined with reference to a 6-point standard curve based on an ICP multi element standard solution VI CertiPUR (Merck, Lot. No. OC529648). Antimony which is not present in this multi-elemental standard was analysed against its own standard curve (Antimony ICP standard , MERCK). Determined concentrations represent the mean of 5 individual injections with the final values corrected for the background elemental concentrations determined in the chelex-100 treated water blanks which was run in parallel to each batch of samples and corrected for variation in the I.S. The following elements were analysed using the dynamic reaction cell to prevent know polyatomic interferences: Al, As, Ma, V, Cr, Cu, Ni, Zn, Ca and Fe. All cell lysate concentrations were normalised to total protein concentrations. To prevent contamination of the samples by atmospheric fall out, all sample digestions and pre-treatment steps were performed in an extracted laminar flow cabinet and analysis by ICP-MS was performed within the Clean Room at the London Metallomics faculty at King's College London. All digestion tubes (Elkay, Basingstoke, UK), 15 mL non pigmented tube and caps (Elkay) and pipette tips were pre-washed in 5% HNO3, followed by rinsing three times in Chelex-100 resin treated ultra-pure water prior to use. Measurement of particulate oxidative potential: The oxidative potential of BAD and SRM-2975 samples was established by quantifying the capacity of the particles to deplete ascorbate and glutathione from a synthetic RTLF that is formulated to contain in vivo-relevant concentrations of antioxidants, surfactant proteins and immunoglobulins (34). After incubating the particles with the RTLF for 4h (pH 7.0, 37oC) at a concentration of 50 µg particles /ml RTLF, samples of the particle-RTLF mixture were assayed for ascorbate concentrations using reverse-phase high performance liquid chromatography and glutathione disulphide/ total glutathione concentrations using a GSSG-reductase-DNTB recycling assay. The details of these methods and handling of the resulting data have been described previously by Mudway et al (33). U937 culture and differentiation: U937 monocytes were cultured at 37ºC in 5% CO2, 95% atmospheric oxygen (standard conditions) in RPMI 1640 medium supplemented with 10% foetal bovine serum, 1% L-glutamine and 1% penicillin-streptomycin (culture medium (CM)). Cells were seeded at densities of 1x106 and 1.25x105 cells in 12 and 96 well plates (respectively) in CM containing 4 nM phorbol 12-myristate 13-acetate (PMA) to encourage differentiation into adherent macrophages. Cells were cultured in the presence of PMA for 96 h then rested in CM for 24h before experimentation. Particle exposure: 1 mg/ml stocks of BAD and SRM-2975 (in PBS) were sonicated for 2 minutes at 70 Hz and diluted to 4-25 µg/ml in CM. Particles were applied to cells in 1ml and 200 µl volumes for 12 and 96 well plates (respectively) and incubated for 4-48h under standard conditions. Even dispersion of particles was confirmed using light microscopy. For cytokine secretion and phagocytosis assays, cells were also exposed to 1µg/ml lipopolysaccharide (LPS) or 1 µg/ml benzopyrene (a model polycyclic aromatic hydrocarbon (PAH)) or to particles in the presence of 5 µg/ml desferroxamine (DFO). Reversibility of responses was assessed by including a 24h ‘rest’ incubation in particle-free medium following particle exposure but prior to assaying. 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay: Mitochondrial oxidoreductase activity was used as a proxy for cell viability. After exposure, cells were incubated with 2.5 µg/ml MTT reagent in CM for 4h. The formazan crystals that formed were dissolved in a 1:1 solution of 20% sodium dodecyl sulphate and dimethylformanide and were read by microplate reader (SpectraMax 190) at 570 nm. Six measurements were made per treatment. Cellular staining and imaging: Following particle challenge, cells were incubated with 150 nM MitoTracker Red Stain (Life Technologies, MA, USA) and 12.5 nM Image It DEAD Green Viability (Life technologies) for 30 minutes at 37 °C. Cells were washed twice with PBS to remove unbound dye and were fixed with 4% paraformaldehyde for 15 minutes at room temperature. After 2 washes with PBS, cells were permeabilised with 0.1% Triton X-100 for 20 minutes at room temperature. Cells were washed twice more with PBS then incubated with 1 ng/ml HCS M Cell Mask Deep Red stain (Life Technologies) and 40.5 µM Hoechst 33342 trihydrochloride trihydrate (Life Technologies) at room temperature for 2 hours. Unbound dye was removed during 2 PBS washes. 2 mM carbonyl cyanide 4-(trifluoro-methoxy)-phenylhydrazone (Sigma) and 0.2% Triton-X100 treatments were included as positive controls for mitochondrial membrane potential disruption and cytotoxicity (respectively). Cells were imaged using an IN Cell Analyzer 6000. Cytokine ELISAs: Supernatants were collected post-challenge and centrifuged at 16000 x g for 10 minutes to remove extracellular particles. Cytokine concentrations were measured using Human IL-10, IL-8 ELISA and TNF-α Ready-SET-Go! kits (eBioscience, San Diego, CA) as instructed by the manufacturers. Bacterial stocks: An isolated colony of Staphylococcus aureus (S.aureus) strain Newman (Edgeworth, KCL) was grown overnight at 37°C in Mueller Hinton broth (MHB) (Oxoid, Waltham, MA). A Jenway 6300 visible range spectrophotometer was used to dilute the culture to 1x104 colony forming units/ml (CFU/ml) in MHB. Bacterial growth assay: 1x104 CFU/ml S.aureus were centrifuged at 5000 x g for 15 minutes and re-suspended in MHB broth spiked with 25 µg/ml BAD, 25 µg/ml SRM-2975 or 50 µg/ml gentamicin (as a positive control for antibacterial activity) or with 100% MHB (as a negative control). The culture was incubated for 4h at 37°C with 50 µl aliquots being removed and plated in duplicate every hour on MH agar (MHB supplemented with 0.01 g/ml agar). Plates were incubated overnight at 37°C and the bacterial colonies quantified manually. Quantification of bacterial phagocytosis behaviour: Following particulate challenge, U937s were washed 3 times with PBS and inoculated with 1 ml of the diluted S.aureus culture to produce a multiplicity of infection of 0.01. Plates were centrifuged at 2700 x g for 10 minutes to encourage contact between the bacteria and macrophages and incubated under standard conditions for 2h. Wells were washed 3 times with PBS and treated with 50 µg/ml gentamicin for 10 minutes to remove and kill bacteria that remained extracellular to the macrophages. U937s were then lysed with sterile deionised H2O to release internalised bacteria into the supernatant. The supernatants were diluted 1:10 in MHB and grown in duplicate on Mueller Hinton agar overnight under standard conditions. S. aureus colonies were counted manually. Statistical analysis: Raw data were converted to percentages of particle-free control samples using Microsoft Excel and identification of significant differences between treatment types were made using GraphPad Prism Version 5.0 (Graphpad Software). Statistical assessment was conducted using one-way analysis of variance (ANOVA) for DLS, oxidative potential, MTT, ELISA, cell staining and bacterial phagocytosis assays and two-way ANOVA tests for metal chelator and bacterial growth assays. To address the increased likelihood of Type I errors by conducting multiple comparisons, post-hoc Bonferroni corrections were performed. P-values ≤ 0.05 were considered to represent statistically significant changes. Results Physicochemical characteristics of particles: As a standard reference material, the physicochemical properties of SRM-2975 have been characterised previously (35). In contrast, the BAD sample employed here has not been studied before so required characterisation prior to use. Scanning electron microscopy identified BAD as highly polydisperse with a particle diameter range of 0.2- 22.9 m (median 2.4 m). 51.3% of the particles fell within the PM2.5 size fraction with the remaining 48.6% classifying as PM10. The particles displayed a smooth surface texture with jagged edges evident on the larger particles only. It was notable that there was no evidence of fibres from the filter matrix in the extract (Figure 1Ai-ii). To determine the hydrodynamic diameter of the particles when dispersed in CM, complimentary DLS experiments were performed across a 24h time-course to assess the degree of particle agglomeration that may have occurred during experiments (Table 1). At the time of exposure, BAD had an average hydrodynamic diameter of 0.6 µm while SRM-2975 had a larger average hydrodynamic diameter of 1.2 µm. Both particles exhibited high polydispersity indices (PDI): 0.7 for BAD 0.7 for SRM-2975. The size (and heterogeneity of sizes) of both particles did not significantly alter during the experimental time-course (p> 0.05), suggesting that minimal agglomeration or dispersion occurred. Table 1: Hydrodynamic diameter of BAD and SRM-2975 as determined by DLS Particle Dispersant Time point (hours) Average diameter (nm) Average PDI BAD CM 0 610.3 ± 72.7 0.7 ± 0.1 4 617.5 ± 119.0 0.7 ± 0.1 24 616.2 ± 1.6 0.6 ± 0.1 SRM-2975 CM 0 1214.3 ± 108.6 0.8 ± 0.2 4 1179.5 ± 269.4 0.9 ± 0.1 24 1228.2 ± 115.8 0.9 ± 0.1 Average hydrodynamic diameters (± SE) and PDI (± SE) of BAD and SRM-2975 samples (14 µg/ml) ascertained using dynamic light scattering after 0, 4 or 24h incubation in CM at 37°C. Measurements were made at 25°C and values were produced over 3 runs consisting of 6 readings each. The metal/metalloid content of the particles was characterised using ICP-MS. Fourteen of the eighteen tested metal/ metalloids were detectable in BAD following subtraction of the digestion blank, with Fe (77.0 ± 0.6 ng/g), Ca (18.3 ± 0.3 ng/g), Ti (16.7 ± 0.3 ng/g) and Ba (11.8 ± <0.1 ng/g) being most abundant. The SRM-2975 was largely devoid of metals/metalloids, with only Ti (17.3 ± 0.3 ng/g), As (5.7 ± 0.1 ng/g), V (0.05 ± 0.0 ng/g) and Sb (0.01 ± 0.0 ng/g) being detected at levels significantly above baseline (digestion blank). Of these common metals, equivalent concentrations of Ti, As and V were observed in the BAD and SRM-2975 PM samples, with Sb significantly enriched in the BAD samples (p ≤ 0.001), (Figure 1B). Due to the contrasting content of redox-active metals in the two particles, their relative oxidative potentials were determined based on their capacity to deplete ascorbate and glutathione from a RTLF simulant containing in vivo-relevant concentrations of airway antioxidants (34). Both BAD and SRM-2975 samples significantly depleted ascorbate by 44 and 55% respectively (p ≤ 0.001, relative to particle-free controls), whilst BAD alone induced significant oxidation of glutathione (12%, p ≤ 0.05) (Supplementary Figure 1). BAD and SRM-2975 are not cytotoxic to U937 macrophages: Light microscopy confirmed that U937s were capable of ingesting BAD and SRM-2975 during 24h exposures (Supplementary Figure 2). Consistent with this, intra-cellular concentrations of metals detected within the BAD particles were enriched in all samples challenged with the pollutant. While strongly variable in magnitude (and therefore, not explored for statistical significance), dose-dependent increases in Fe, Al and Mn content (253-2453, 48-187 and 36-100%, respectively) were visible, and 16-23, 141-431 and 510-1992% increases in As, V and Ba content were detected across the 4-14 µg/ml exposure range (respectively). Increases in cellular Ca and Cu content also occurred following 25 µg/ml exposures (261 and 107% respectively) (Figure 2A-D). Similarly, intracellular V content increased by 34-367% where macrophages were challenged with 4-25 µg/ml SRM-2975 while As and Ti concentrations were marginally elevated in a non-dose dependent manner following exposures to 4-14 µg/ml SRM-2975 (43-50 and 22-26%, respectively) (Figure 2E-F). MTT assays were employed to assess the cytotoxic potential of particle-cell interactions, using mitochondrial oxidoreductase activity as a proxy for cell viability. BAD (4-25μg/ml) caused no significant changes in signal following the 24h exposure but SRM-2975 exposure caused dose-dependent reductions in formazan crystal formation (17-44% p ≤ 0.001-0.05), indicating a reduction in cellular activity. These SRM-2975-induced reductions in MTT signal were visible as early as 4h post-exposure at doses ≥ 8 µg/ml (p ≤ 0.01-0.05) but were not detected until 48h post- BAD exposure where they occurred at a similar magnitude to the response induced by 24h exposures to the DEP (19-41%, p ≤ 0.01-0.05). Staining with fluorescent nuclear and cytoplasmic dyes, indicated that neither particle caused changes in nuclear or cellular area (morphometric markers of apoptotic or necrotic activity) after 24h exposure, even at the highest tested dose (25μg/ml) (Figure 4A-D). The cells did however, display evidence of mitochondrial dysfunction with dose-dependent decreases in the Mitotracker Red signal after BAD (7- 65 %) and SRM-2975 exposure (31- 57%) (Figure 4E-F). BAD and SRM-2975 induce inflammatory responses: IL-8, IL-10 and TNF-α were measured in U937 supernatants following 24h challenges with BAD or SRM-2975. Compared with the particle-free control, BAD exposure significantly increased IL-8 secretion by 41-120% from concentrations ≥ 4 µg/ml (p ≤ 0.01- < 0.001) and IL-10 secretion by 145-185% at concentrations ≥ 14 µg/ml (p ≤ 0.01- < 0.001) (Figure 5A and E). SRM-2975 also induced significant increases in IL-8 secretion (60-130%, p ≤ 0.001) from concentrations ≥ 4 µg/ml (Figure 5B). IL-10 secretion increased in a dose-dependent manner following exposure to SRM-2975, reaching statistical significance at 25 µg/ml (116% greater than control, p ≤ 0.05) (Figure 5F). SRM-2975 challenge at 4-25 μg/ml significantly increased TNF-α secretion by 38, 68, 50 and 76% in comparison to the particle-free control (p ≤ 0.01, 0.001, 0.001 and 0.001 respectively) (Figure 5D) but BAD exposure only induced significant increases in TNF-α secretion at the 25 μg/ml doses (55% higher than control, p ≤ 0.01) (Figure 5C). Where cells were exposed to equivalent particle doses in the presence of DFO, secretion of pro-inflammatory IL-8 was inhibited and remained equivalent to the particle-free control (Supplementary Figure 3A-B). In contrast, the secretion of TNF-α that accompanied high-dose BAD exposure was not altered by the presence of DFO and elevated IL-10 secretion was still evident following exposure to BAD at all doses (60-105% higher than control, p =ns - < 0.001) or 25 µg/ml SRM-2975 (22% higher than control, p ≤ 0.001) (Supplementary Figure 3E-F). When cells were incubated in particle-free media following the 24h exposure to BAD or SRM-2975, IL-8 and TNF-α concentrations returned to baseline levels (Supplementary Figure 4A-D). In contrast, the dose-dependent increase in IL-10 concentrations after BAD challenge persisted over the recovery period, but not to a statistically significant extent (Supplementary Figure 4E-F). BAD and SRM-2975 inhibit phagocytic function: The impact of particle exposure on U937 function was assessed by measuring cellular capacity to ingest live S.aureus following treatment. After 24h exposures to 4 and 8 µg/ml BAD, the number of S.aureus ingested was reduced by 30 and 29% (respectively) compared to the particle-free control (p ≤ 0.001 and p ≤ 0.01). When BAD dosage was increased to 14 or 25 µg/ml, the number of bacteria ingested by the macrophages was further reduced to 285 or 27% of the particle-free controls (p ≤ 0.001) (Figure 6A). SRM-2975 exposure induced a similar response with the 4 µg/ml treatment, reducing S.aureus ingestion by 44% (p ≤ 0.001) in comparison to the particle-free control and 8, 14 and 25 µg/ml doses reducing bacterial ingestion by 52, 64 and 68%, respectively (p ≤ 0.001) (Figure 6B). S.aureus growth curves, produced in the presence or absence of BAD or SRM-2975, confirmed that these results were not caused by direct bactericidal or bacteriostatic interactions between the particles and bacteria (Supplementary Figure 5). In the presence of DFO, S.aureus uptake increased by 217 and 197 % following exposure to 14 and 25 µg/ml BAD (p ≤ 0.05) (as compared with DFO-free exposures). Similarly, DFO improved S.aureus uptake by 171– 228 % in cells treated with 4-25 µg/ml SRM-2975 (p ≤ 0.05- 0.001). For both particles, the chelator restored bacterial uptake to levels comparable to the particle-free control (Figure 6C and D). No significant difference was found between the numbers of S.aureus that were ingested by particle-free control cells with and without DFO treatment, indicating that the chelator had no direct effect on phagocytosis. As well as metals, particulate toxicity has been attributed to surface-bound bacterial endotoxins and PAHs (36). We therefore examined the impact of 24h exposures to 1 µg/ml LPS or 1 µg/ml benzopyrene on the phagocytic activity of U937 cells. While LPS induced a significant decrease in the number of S.aureus that the U937s ingested (14%, p ≤ 0.05), benzopyrene did not decrease phagocytic behaviour to a significant extent (Supplementary Figure 6). Finally, we examined the capacity of U937s to recover their phagocytic capacity after acute particulate challenge. Cells were exposed to particles for 24h, then incubated with particle-free medium for a further 24h before phagocytic capacity was quantified. For both particles, phagocytic capacity was restored, exhibiting no significant differences to particle-free controls (Figure 7A-B). Discussion Using a U937 human macrophage model, we compared the toxicity of two compositionally distinct contributors to traffic-derived pollution; tailpipe-derived particulate matter from diesel engines (SRM-2975) and vehicle-derived particles from a non-tailpipe source (BAD). Trace analysis by ICP-MS confirmed that the metallic content of BAD was considerably greater than that of SRM-2975 and was contributed to by many more species; a signature that was reflected intracellularly in exposed macrophages. Contrary to our hypothesis however, the two particles elicited broadly equivalent cellular responses; stimulating cytokine secretion, impairing phagocytic capacity and disrupting mitochondrial integrity at sub-lethal doses. For both particle types, heightened IL-8 and TNF-α secretion as well as impairment of phagocytic capacity were abolished by the presence of the metal chelator, DFO, suggesting that these effects were dependent on PM metal content. Together, these data demonstrate that both DEP and BAD can perturb cell function. Consequently, it may be necessary to regulate emissions of both particle types to protect public health. Impacts of particles on mitochondrial function: Previous studies have implicated oxidative potential as a key contributor to particulate toxicity, with intracellular ROS generation associating with mitochondrial dysfunction in A549 alveolar epithelial cells and THP-1 macrophages following exposure to diesel exhaust particles (37) and diesel exhaust organic extracts (38). Similarly, we observed a dose dependent decrease in mitochondrial membrane integrity following exposure to SRM-2975 or BAD particles (Figure 4). This finding is consistent with the work of Karlsson et al. (2008) who demonstrated that mitochondrial depolarisation occurred in A549 pulmonary epithelial cells following 8h challenges by PM10 samples (40µg/cm2) that were collected from a subway and street location in Stockholm (39). Despite differences in the length and strength of our exposures, it is important to note that Karlsson et al’s samples included metals derived from vehicle and road/rail surface abrasion dusts (11). Although cell death is a typical outcome of mitochondrial dysfunction, this occurred in the absence of morphometric evidence of cell swelling (a marker of necrosis), or nuclear condensation (apoptosis) (40) for both particles. SRM-2975 exposure was however, accompanied by dose-dependent losses in metabolic activity at the 24h time-point, an effect that was present from 4h but did not develop until later in the time-course where cells were exposed to BAD (Figure 3). It is possible that this may be the outcome of differences in particle composition- with SRM-2975 containing greater quantities of (or more potent) components that impair mitochondrial oxidoreductase activity and resulting in a more acute response- but caution must be taken when interpreting the result. Both Fe and Cu oxides (but not TiO2) induce acute respiratory burst events in macrophages that have been exposed to concentrations as low as 20 µg/ml (41) and the respiratory burst has been demonstrated to create spikes in MTT assay signals (42). Considering that BAD contains noteworthy quantities of both Fe and Cu ions, it is possible that ongoing ROS production masked loss of mitochondrial metabolic functions in the macrophages at the earlier time-points. Inflammatory responses: Incubation with both BAD and SRM-2975 elicited significant increases in IL-8 production at concentrations ≥4 μg/ml (Figure 5). These data are in line with evidence that both diesel and ambient particulate matter samples induce pro-inflammatory responses in both macrophages (22,43) and human bronchial epithelial cells (44,45) and is consistent with in vivo evidence from human challenge studies to diesel exhaust (46), or concentrated ambient particles (47). The pro-inflammatory potential of BAD at non-lethal dosages has previously been demonstrated using A549 and Calu-3 epithelial cells (19,20) and similar responses have been reported in primary bronchial epithelial cells challenged with metal-rich PM collected from an underground railway station (48). Our particle-induced increases in IL-8 were inhibited when cells were exposed to BAD or DEP in the presence of DFO; a broad-range metal ion chelator, indicating that this aspect of the pro-inflammatory response was attributable to the metal/metalloid content of the particles. This conclusion is supported by the work of Gerlofs-Nijland et al. who demonstrated that the ability of BAD to induce Keratinocyte Chemoattractant and Macrophage-Inflammatory Protein-2 secretion into rat BALF, relative to DEP, depended on the metallic content of the particles. Here, BAD obtained from low and semi-metallic brake pad PM (composed primarily of Fe, the major component of our BAD sample) demonstrated similar potencies to DEP while NAO brake pad PM (rich in Cu, Ti, Al and Ba) caused considerably stronger inflammatory responses than DEP (21). It must be considered however, that additional particle components could have contributed to the pro-inflammatory response to the particles. While TNF- concentrations were elevated at the 4 μg/ml dose for the diesel samples, a considerably greater dose of metallic BAD (25 μg/ml) was required to cause significant increases in TNF-secretion (Figure 5), suggesting that induction of this cytokine is more sensitive to DEP-associated components such as PAHs or carbon than it is metals. Chen et al. documented induction of TNF-expression alongside mitochondrial membrane dysfunction and inhibition of phagocytic capacity in RAW 264.7 MDM following comparable exposures to TiO2 nanoparticles (10 µg/ml for 24h) (28) but despite documenting similar toxicity profiles for our particles and considering that DFO binds tightly with titanium (IV) (49) we did not see reductions in TNF-secretion upon addition of the chelator for either particle. Similarly, DFO did not impair the significant increases in anti-inflammatory IL-10 secretion that were observed following exposure to BAD or SRM-2975 (Figure 5 and Supplementary figure 3). Importantly, we noted that the particle-driven induction of pro-inflammatory cytokines was transient, with levels of IL-8 and TNF-α returning to control levels 24h after particle exposure was ceased, whilst the anti-inflammatory IL-10 response persisted. Impacts of particles on bacterial phagocytosis: One of our main interests was to determine whether BAD exposure impacts upon pulmonary immune defences. We found that exposure to BAD or SRM 2975 significantly reduced the ability of U937s to ingest S.aureus, even at particle concentrations as low as 4 μg/ml. As phagocytosis by macrophages is a primary mechanism by which the lung is protected from pathogenic material, inhibition of this function could increase the susceptibility of the airway to infection, as has been previously proposed (50). Consistent with our findings, ambient PM2.5 and PM0.1, metallic nanoparticles and DEP have been shown to reduce the capacity for macrophages to phagocytose respiratory pathogens (29,51–53). In addition, a number of experimental and clinical studies (reviewed extensively by Brugha et al. (54)) have shown that urban air pollution and household air pollution (55) as well as exposure to electronic cigarette smoke disrupts pulmonary innate immune defences and increases susceptibility to bacterial and viral infections (56,57). Interestingly, our study demonstrated that impairment of phagocytic activity could be restored by: (i) letting the cells recover for 24h in particulate-free cell culture media and (Figure 7) ((ii) the presence of a metal chelator (Figure 6 C-D). Similar results were observed by Zhou et al. (2007) who found that iron chelation reversed ambient PM-induced inhibition of bacterial internalisation (53). Influencing our considerations of how particle-derived metal species might disrupt phagocytosis, Chen et al.’s study of TiO2 nanoparticle exposure indicated that particle-mediated loss of E.coli uptake is accompanied by disruption of proteins required for key phagocytic processes including cytoskeletal reorganisation, endocytosis and ATP production (28). As well as metals, the toxicity of traffic-related PM has been related to its content of endotoxins such as LPS and polycyclic aromatic hydrocarbons, which are capable of exacerbating oxidative stress and inflammation in the lung (58). As SRM-2975 is rich in PAHs, including benzopyrene (59), we investigated whether this PAH, would impair bacterial phagocytosis yet found no supportive evidence (Supplementary figure 6) . In contrast, LPS induced a significant decrease in phagocytic capability (Supplementary figure 6), though minimal compared with the metal-dependent effect. Together, our findings highlight the importance of monitoring and regulating non-tailpipe emissions (especially those with metallic compositions), which in contrast to tailpipe emissions, are not yet monitored by European and US EPA directives. Dissecting out metal contributions to the observed responses: The capacity of DFO to significantly inhibit both the induction of the pro-inflammatory cytokine release (IL-8) and the particle-induced impairment of phagocytosis was unexpected, given that the diesel particulate was largely devoid of pro-oxidant metals, such as Fe, Cu, or metals known to perturb intra-cellular redox indirectly, such as Zn. We therefore focused on the potential role of the metals common to both particle types (As, Ti, V and Sb), where we could demonstrate: (a) broadly equivalent concentrations; (b) literature-based evidence of their effective chelation by desferroxamine, and (c) evidence that the metals where taken up into the cultured cells. Based on these criteria, we did not consider antimony (Sb) further, due to its elevated concentration in BAD and lack of evidence of intra-cellular accumulation. Each of the remaining metals demonstrated increased intra-cellular concentrations 24 h post challenge, but only vanadium provided a clear dose dependant relationship with the two particle types. In the present study we lack information on metal speciation, but upon cellular uptake, vanadium in the +4 oxidation state, vanadyl, has been shown to be the predominate form (60). Supporting our focus on this metal, vanadyl has been shown to form bi-tetra and hexadenate-bonded complexes with DFO when examined in a cell-free acidic medium (61); interactions that could underlie DFO-induced reductions in tissue accumulation and increases in fecal, urinary and biliary excretion of vanadyl ions in rats following exposure to 48VOSO4 (62,63). Whilst exposures of rat liver microsomes to vanadate have implicated oxidative stress as a mechanism by which vanadium exposure causes toxicity (64), it seems unlikely that this would be the dominant mode of action for both of our model particles, as BAD contained considerably higher content of other well established metal ROS catalysts (65). Vanadate and vanadyl also act as phosphate analogues, interfering with a range of phosphate dependent enzymes, including Na+K+ATPase, Ca++ ATPase, and the dynein ATPase (66) and potently inhibit phosphatases (67), resulting in the activation of kinase stress pathways. However, as Zn, also an established phosphatase inhibitor (68) was present at greater concentration in BAD and previous studies have indicated that Zn (II) is a more effective phosphatase inhibitor than vanadyl or As (in sodium arsenite form) (69), again this does not seem a plausible mechanism. There is also evidence that the vanadium compound, sodium orthovanadate, can activate Ca++-dependent cytoplasmic phospholipase A2, resulting in the enhanced production of arachidonic acid metabolites (70). Interestingly, previous work examined the inflammatory responses of murine RAW264.7 cells to ambient PM samples demonstrated a correlation between PM metal content and the release of arachidonic acid, which was inhibited with the use of the metal chelator diethylenetriaminepentaacetic acid (22). Vanadyl, vanadate, bis(acetylacetonato)oxovanadium and vanadium citrate have also been shown to interact directly with isolated mitochondria, disrupting membrane potential and enhancing intracellular ROS production (71). Thus, PM-associated vanadium has the potential to perturb cell function. Much of the evidence base examining the airway toxicity of titanium is based on occupational exposures to wielding fume, or increasingly from studies investigating nano TiO2. Exposure to welding fume has been associated with increased susceptibility of welders to pneumococcal pneumonia, with the underlying mechanism related to increased binding and uptake of bacteria into human bronchial epithelial cells. However, the extent to which this can be attributed to Ti in a compositional complex dust (rich in Fe) is difficult to dissect out (72). Nanosize TiO2 has been demonstrated to elicit oxidative stress and the release of pro-inflammatory mediators in human primary epithelial cells (73), as well as increase the susceptibility of the murine lung to pneumonia (74). Therefore, a role for PM associated Ti in the responses observed with BAD and SRM 2975 cannot be excluded, but again, must be viewed in the context of higher abundance of redox active metals in the BAD samples. The role of As compounds and its major metabolites in inducing cytotoxicity and increased susceptibility to infection in pulmonary models has yielded ambiguous results to date (75). Limitations of the study: SRM-2975 was chosen as a comparator for BAD because it has been used in many previous studies of DEP toxicity and its effects on pulmonary cells are well characterised in vitro. However, the sample originates from the engine of an industrial forklift truck, prior to recent developments in filter technology and exhaust after-treatment (76), making it poorly representative of current road traffic-related DEP emissions. In contrast, the BAD sample included material from a mixture of commercial vehicles, produced by currently popular manufacturers, thus representing a more timely and realistic human exposure scenario. Humans would inhale BAD from a combination of vehicle models and brake pad compositions rather than from isolated types. It is important to consider however, that this method of BAD particle collection has not been standardised. Proposals for common sampling and assessment of brake wear are still under development by the Particle Measurement Group of the United Nations Economic Commission for Europe particles (77). Conclusions To summarise, we have identified that two major contributors to traffic-related PM; BAD and DEP, exert similar adverse effects on human macrophage function, despite possessing significant compositional differences. The capacity of both particles to impair bacterial phagocytosis is especially pertinent as this is consistent with increased susceptibility to airway infection. Of great importance is the observation that metals are key drivers of this toxicity, even in particle species that possess relatively low metal concentrations, as this indicates that other uncharacterised traffic-derived particles could be contributing to adverse respiratory health. Currently, regulations target tailpipe emissions alone but these data imply that traffic-related abrasion particles are equally capable of harming pulmonary cells. Therefore, we believe that future pollution mitigation strategies will need to consider additional vehicle-derived sources if the full benefit to public health is to be achieved. Declarations Ethics approval and consent to participate: Not applicable Consent for publication: Not applicable Availability of data and materials: All data generated or analysed during this study are included in the published article and its supplementary information files Competing interests: The authors declare that they have no competing interests Funding: Liza Selley was supported by the Integrative Toxicology Training Partnership (ITTP) from the Medical Research Council, UK (Grant awarded to TG and TA) and a Mini Fellowship grant awarded by the In Vitro Toxicology Society, UK. TG was supported by the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards held at King’s College London in partnership with Public Health England (PHE) and Imperial College London. Author’s contributions: LSE: experimental design, experimental work (cell culture, cells challenges, high content screening, immunoassays, functional assays of phagocytosis, particle sizing), data analysis, manuscript preparation and corresponding author; LSC: experimental design, experimental work (as for LSE) data analysis (equal contribution with LSE) and manuscript preparation; HM: experimental design and manuscript preparation; TF: experimental work (cell culture, cell challenges, immunoassays, functional assays of phagocytosis); BF: experimental design, data interpretation and manuscript preparation; TWG: experimental design, data interpretation and manuscript preparation; TS: provision of brake dust samples and manuscript preparation; NC: particle extractions of oxidative potential determinations; TJA: experimental design, data interpretation and manuscript preparation; IM: study design, metal analysis, data analysis and interpretation and manuscript preparation; AK: lead author, study design, coordination of the experimental work, high content screening work, data analysis and interpretation, manuscript preparation. Acknowledgements: The authors would like to thank SMP Svensk Maskinprovning, Sweden for providing the brake abrasion dust employed in this study. The authors would also like to acknowledge Stevenage Bioscience Catalyst, GlaxoSmithKline and GE Healthcare for providing access to the IN Cell Analyzer 6000 and for training on the instrument. LSE acknowledges the MRC Integrative Toxicology Training Partnership (ITTP) and the In Vitro Toxicology Society for financial support. Metal analysis was performed by the London Metallomics Facility funded by the Wellcome trust (grant reference 202902/Z/16/Z). References 1. (HEI) HEI. Traffic-Related Air Pollution: A Critical Review of the Literature on Emissions, Exposure, and Health Effects. Boston, USA; 2010. 2. Gauderman WJ, Urman R, Avol E, Berhane K, McConnell R, Rappaport E, et al. Association of improved air quality with lung development in children. N Engl J Med. 2015 Mar;372(10):905–13. 3. 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Monomethylarsonous Acid (MMAIII) Has an Adverse Effect on the Innate Immune Response of Human Bronchial Epithelial Cells to Pseudomonas aeruginosa. PLoS One. 2015 Jan;10(11):e0142392. 76. Gonzalez CA, Watters RL. Certificate of Analysis Office of Reference Materials Certificate Revision History on Last Page [Internet]. 2013 [cited 2018 Sep 6]. Available from: https://www-s.nist.gov/srmors/certificates/2975.pdf 77. Joint Research Centre. 42nd UNECE IWG PMP MEETING: Non- exhaust particle emissions. Particle Measurement Program; United Nations Economic Commission for Europe. 2017. Figures Figure 1: Representative images and particle size distributions of BAD taken via SEM at 1000x and 4000x magnification (Ai-ii). Panel B illustrates the concentrations of metals/ metalloids associated with BAD and DEP as determined by ICP-MS (B). Concentrations are illustrated as means ± SE based on triplicate preparations of each PM sample. Figure 2: Quantities of particle-associated metals/metalloids detected within the lysates of U937 following exposure to 4-25 μg/ml BAD (A-D) or SRM-2975 (E-F). Values were acquired via ICP- MS and normalised to total cellular protein as determined by bicinchoninic acid assay. They are displayed as the mean ± SE of 3 replicates. Figure 3: Viability of U937 cells following 4-48h exposures to 4-25 μg/ml BAD (A) or SRM-2975 (B). Values are displayed as percentages of a particle-free control and represent the mean ± SE of 6 individual measurements, each consisting of 4 technical replicates. Significant differences in viability were determined via one-way ANOVA tests with Bonferroni correction. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.00. Figure 4: Fluorescent intensities of Hoechst nuclear stain (A and B) CellMask Deep Red cytoplasmic stain (C and D) and Mitotracker Red stain for intact mitochondrial membrane potential (E and F) in U937s after 24h exposure to 4-25 μg/ml BAD or SRM-2975. Fluorescent intensities (mean ± SE of independent measurements) were determined using an IN Cell Analyzer 6000 and are displayed as a percentage of a particle-free control. Significant differences in the fluorescence intensities of staining were identified between control and particle-treated cells using one-way ANOVA tests with Bonferroni correction. ** p ≤ 0.01, *** p ≤ 0.001 Figure 5: Supernatant IL-8 (A, B), TNF-α (C, D) and IL-10 (E, F) concentrations derived from U937 cells after a 24h exposure to BAD (A, C, E) and SRM-2975 (B, D, F). Values are expressed as percentages of particle-free controls and normalised to total cellular protein concentrations with error bars depicting the SE generated during 5-7 replicates. Significant differences in cytokine concentration were identified between control and particle-treated cells using one-way ANOVA tests with Bonferroni correction. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001. Figure 6: Quantities of S. aureus ingested by U937 cells over a 2 h period subsequent to 24h incubation with 4-25 µg/ml BAD (A) or SRM-2975 (B),4-25 µg/ml BAD (- chelator) or 4-25 µg/ml BAD spiked with 250 µg/ml (380 M) desferroxamine mesylate (+ chelator) (C) and 4-25 µg/ml SRM-2975 (- chelator) or 4-25 µg/ml SRM-2975 spiked with 250 µg/ml desferroxamine mesylate (+ chelator) (D), and 4-25 µg/ml BAD. Values were normalised to concentrations of total cellular proteins and are presented as percentages of a particle-free control and represent the mean ± SE of 4-6 biological repeats. Significant differences in CFU were identified between control and particle-treated cells using one-way ANOVA tests with Bonferroni correction and between cells treated with particles with or without desferroxamine using two-way ANOVA tests with Bonferroni correction. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001. Figure 7: Quantities of S. aureus ingested by U937s over a 2 h period subsequent to 24h incubation with 4-25 µg/ml BAD (A) or SRM-2975 (B) then 24h incubation in particle-free media. Values were normalised to concentrations of total cellular proteins and are presented as percentages of a particle-free control and represent the mean ± SE of 4-6 biological repeats. Significant differences in CFU were identified between particle-treated and particle rested cells using two-way ANOVA tests with Bonferroni correction. * p ≤ 0.05, *** p ≤ 0.001 21 image3.tif image4.tif image5.tif image6.emf 048 1 4 2 5 0 20 40 60 80 100 120 - chelator + chelator **** ** * SRM-2975 concentration ( g/ml) C F U ( % o f m e d i u m c o n t r o l ) 048 1 4 2 5 0 20 40 60 80 100 120 ** BAD concentration (g/ml) C F U ( % o f m e d i u m c o n t r o l ) DC 48 1 4 2 5 0 20 40 60 80 100 120 ***** *** *** BAD concentration (g/ml) C F U ( % o f m e d i u m c o n t r o l ) 48 1 4 2 5 0 20 40 60 80 100 120 ****** *** *** SRM-2975 concentration ( g/ml) C F U ( % o f m e d i u m c o n t r o l ) BA image7.tif image1.tif image2.emf 0g/ml PM4g/ml PM8g/ml PM25g/ml PM14g/ml PM BAD SRM-2975 F e 0 2000 4000 6000 8000 A. High abundance metals A l A s C a T i B a 0 200 400 600 800 1000 B. Abundant metals M n C u Z n 0 25 50 75 100 125 C. Mid abundance metals V C d 0.0 0.5 1.0 1.5 2.0 D. Low abundance metals A s T i 0 200 400 600 800 1000 E. Abundant metals V 0.0 0.5 1.0 1.5 F. Low abundance metals # n g m e t a l / n g t o t a l c e l l u l a r p r o t e i n n g m e t a l / n g t o t a l c e l l u l a r p r o t e i n