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. 2015 Jun 4;12:14. doi: 10.1186/s12989-014-0077-x

Metal rich particulate matter impairs acetylcholine-mediated vasorelaxation of microvessels in mice

Azita K Cuevas 1, Jingping Niu 2, Mianhua Zhong 1, Eric N Liberda 1, Andrew Ghio 3, Qingshan Qu 1, Lung Chi Chen 1,✉
PMCID: PMC4456050  PMID: 26041432

Abstract

Background

Exposure to PM2.5 (particulate matter <2.5 μm) has been associated with changes in endothelial function. PM2.5 was collected from two Chinese cities, Jinchang (JC) and Zhangye (ZH), both with similar PM2.5 concentrations. However, JC had levels of nickel (Ni), selenium (Se), copper (Cu), and arsenic (As) that were 76, 25, 17, and 7 fold higher than that measured in ZH, respectively. We used this unique PM sample to delineate the chemical components that drive pulmonary and systemic effects and explore the mechanism(s) by which vascular dysfunction is caused.

Methods

Male FVB/N mice received oropharyngeal aspiration of water or PM2.5 from JC, ZH or ZH spiked with one of the following elements at the same concentrations found in the JC PM (Ni = 4.76; As = 2.36; Se = 0.24; Cu = 2.43 μg/mg) followed by evaluation of markers of pulmonary and systemic inflammation. Mesenteric arteries were isolated for gene expression or functional response to various agonists (Phenylephrine, Acetylcholine, and Sodium Nitroprusside) and inhibitors (L-NAME, Apocynin, and VAS2870) ex vivo.

Results

Protein and total cell counts from lung lavage revealed significant pulmonary inflammation from ZH (p < 0.01) and JC and ZH + NiSO4 (p < 0.001) as compared to control and a significant decrease in mesenteric artery relaxation (p < 0.001) and this decrease is blunted in the presence of NADPH oxidase inhibitors. Significant increases in gene expression (TNF-α, IL-6, Nos3; p < 0.01; NOX4; p < 0.05) were observed in JC and ZH + NiSO4, as well as significantly higher concentrations of VEGF and IL-10 (p < 0.01, p < 0.001; respectively).

Conclusions

Our results indicate that the specific toxicity observed in PM from JC is likely due to the nickel component in the PM. Further, since VAS2870 was the most successful inhibitor to return vessels to baseline relaxation values, NADPH Oxidase is implicated as the primary source of PM-induced O2•-.

Keywords: Vascular function, Endothelial dysfunction, Nickel, Air pollution, Particulate matter, Endothelial nitric oxide uncoupling, Nicotinamide adenine dinucleotide phosphate (NADPH) oxidase

Background

Ambient air pollution continues to adversely affect millions of people globally. According to the World Health Organization [1], approximately 2.4 million people die prematurely each year from causes directly attributable to air pollution, and an even greater number of people bear the burden of health conditions exacerbated by air pollution. These findings are supported by epidemiological studies showing that both short and long term exposures to high levels of ambient particulate matter (PM) lead to increased risk of diabetes, hypertension, and other cardiovascular-related diseases and death [2-6]. However, the precise mechanism(s) by which the PM-induced damage occurs and the PM component(s) responsible for the induced effects remain unknown.

Human and animal experiments using PM samples rich in transition metals have reported a myriad of pathologies. Several groups of investigators have reported increased thrombosis and impaired fibrinolysis within 24 hours of PM exposure [7-9]. A human study by Sangani et al. [10] found water-soluble metal components (e.g. Al, Fe, Ca, Ni, Cu, Pb, V and Zn) of PM significantly decreased whole blood coagulation time in healthy subjects. It is also believed that increases in oxidative stress play a major role in increasing blood pressure and driving procoagulative events with dysfunction of the endothelium being a major component of pathophysiology [11].

PM rich in metal components such as nickel (Ni) has been linked to adverse cardiopulmonary effects in both cell and animal models [12-15]. We have previously documented that exposure to inhaled Ni nanoparticles or PM2.5 rich in Ni content can cause altered vasoreactivity, changes in heart rate and heart rate variability, induce adverse effects in bone marrow endothelial progenitor cells, and advanced the progression of atherosclerosis [16-20]. However due to the complexity and heterogeneity of PM2.5, identifying the exact component(s) and linking them to the observed effects remains a challenge. Although Ni is a minor mass component of PM2.5, we hypothesize that Ni is the driving constituent in PM2.5-induced cardiovascular disorders (CVD).

Our laboratory has previously reported that systemic inflammation and cardiovascular markers of atherosclerosis in residents of two Chinese cities, Jinchang (JC) and Zhangye (ZH), are linked to the PM2.5 compositions of each [21]. Despite similar PM2.5 concentrations (JC = 43.0 μg/m3 and ZH = 45.5 μg/m3), JC, home to the second largest Ni refinery globally, had levels of Ni, selenium (Se), copper (Cu), and arsenic (As) that were 76, 25, 17, and 7 fold higher than in ZH, respectively [21]. Samples collected from these cities provide a unique PM composition profile to not only verify the critical role of Ni in PM2.5-associated CVD, but to also explore the potential mechanisms of action.

Ni found in PM has been reported to activate a chain of events, such as formation of reactive oxygen species (ROS), an up-regulation of the stress-inducible genes [22,23], and can interference with electron transport pathways. Although there are numerous pathways that generate superoxide, two of particular importance involved with electron transport pathways are: Nicotinamide Adenine Dinucleotide Phosphate (NADPH) oxidase, and endothelial nitric oxide (eNOS) uncoupling. As such the generated superoxide directly impacts vascular function and is known to negatively affect vascular physiology via interaction between its molecular reduction into other more toxic forms of oxidative species (OS) and the vascular bed. The increase in superoxide production is one of the major contributors to the development of vascular dysfunction in cardiovascular disease states [24]. The majority of published works investigating adverse effects of PM on vascular function have been conducted utilizing larger conduit vessels, such as aorta (>400 μm). However, the microcirculation is the primary site of vascular resistance and nutrient and waste exchange in the body. Perturbations in microvascular vasoreactivity can have profound impact on tissue perfusion, and ultimately homeostasis [24]. Since microcirculation takes place in the small resistance vessels (40–100 μm of lumen diameter) and regulates blood/oxygen flow and pressure to and from the tissues, they provide a good contrast to the larger, systematic conduit vessels, like the aorta. Hence, the aim of this study was two-fold: to use the PM2.5 samples collected from these cities to further explore the role of Ni found in PM and; to utilize this particulate to determine the underlying mechanism(s) of arteriolar function in the small resistance vessels of a mouse model following PM2.5 exposure. We hypothesized that exposure to PM2.5 rich in Ni alters arteriolar reactivity through mechanistic pathways involved in endothelium-dependent arteriolar dilation in the mesenteric arteries, of eNOS uncoupling and NADPH oxidase activation, leading to vascular ROS generation and vascular dysfunction.

Results

Particle characterization

The particle characterization and analysis is described by Niu et al. [21]. In brief, PM2.5 mass measurements were not significantly different between JC (43.0 ± 40.7 μg/m3) and ZH (45.5 ± 47.7 μg/m3). The PM2.5 levels in both locations were approximately twice as high as the annual averages (20.2 ± 13.3 μg/m3) observed in New York City [25]. However, the ambient level of Ni measured in the JC location (204.8 ± 268.6 ng/m3) was 76-fold higher than that measured in ZH (2.8 ± 4.4 ng/m3). The sulfate form of the metals were selected for spiking since sulfur was high in the PM samples and also because sulfates are soluble and hence they are good candidates to investigate as drivers of the observed effects.

Bronchoalveolar Lavage Fluid (BALF) characterization

Protein leakage (Figure 1A), neutrophil infiltration (Figure 1B), and cell count (Figure 1C), results from BALF analysis from a single aspiration dose of 50 μg/mouse (1 mg/ml) revealed pulmonary inflammation. Specifically, protein leakage from mice treated with ZH was significantly higher than control; however, JC caused the greatest pulmonary inflammation. Particles from ZH spiked with one or all of the four metals found in the same concentrations as seen in the JC sample (As, Se, Cu, and Ni) demonstrated an increase in protein leakage (Figure 1A). Although there could be countless combinations of metals that could be studied, for the purposes of this study we decided to focus on the one that had the greatest inflammatory effects. Specifically, Ni was of greatest interest due to previous work [21] and the high inflammatory response observed in the ZH + NiSO4 PM treatment group. ZH PM spiked with all four metals (ZH + all) demonstrated inflammatory levels close to that of exhibited by JC PM. Our lab has historically utilized a dose of 50 μg/mouse (1 mg/ml) for aspiration studies, which yielded a reasonable percentage of neutrophil infiltration per standardized and acceptable aspiration methodology [26]. However, these particles from China caused an approximate 25 percent neutrophil infiltration (Figure 1B) and this dose was deemed too high of an inflammatory state for the animal to obtain accurate results in a repeated aspiration study. We therefore, conducted a dose response study and continued experiments at the dose level of 25 μg/mouse (0.5 mg/ml; Figure 2). A single and repeated aspiration model using PM combinations of JC, ZH, and ZH + NiSO4 (0.5 mg/ml) demonstrated significantly higher inflammation in the JC group in comparison to control (Figure 2). Although it is possible that Ni was not the only driver of the observed response, the ZH + NiSO4 group emulated similar results as those of the JC group. No differences were seen in the one-time control versus the six-time exposure control.

Figure 1.

Figure 1

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Protein Analysis of Bronchoalveolar Lavage Fluid at an aspirated PM dose of 50 μg. Comparison of (A) Total protein leakage analysis, (B) cell differentiation, and (C) cell counts in BALF 24 hr post-single aspiration of PM2.5 (50 μg = 1 mg/ml) from either JC, ZH, or ZH PM2.5 spiked with all of the metals and metalloids found in the JC PM sample: AsO3, SeCl4, CuSO4, and NiSO4 (n = 6/group), positive controls: NiSO4 + H2O (n = 4), NiSO4 + Carbon (n = 4) and water as a negative controls (n = 10; *p < 0.05; **p < 0.01; ***p < 0.001).

Figure 2.

Figure 2

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Protein Analysis of Bronchoalveolar Lavage Fluid at an aspirated PM dose of 50 μg. (A) Total protein leakage analysis, (B) cell differentiation and (C) cell counts in BALF 24-hour post-single aspiration (1X) or a repeated aspirations (6X) of PM2.5 (25 μg = 0.5 mg/ml) from either JC, ZH, or ZH + NiSO4 (n = 8/grp; *p < 0.05; **p < 0.01; ***p < 0.001).

Serum markers indicative of inflammation and vascular dysfunction

Serum from mice treated with JC, ZH and ZH + NiSO4 had significantly higher IL-10 concentrations as compared to the control in the respected exposure duration (Figure 3A). Further VEGF was significantly greater in JC and ZH + NiSO4 in both exposure durations (Figure 3B). Statistically higher levels of TNF-α were detected in the ZH + NiSO4 in comparison to ZH alone Figure 3E). No statistical differences were detected for IL-13, IL-6, CSF, and MCP-1 (Figure 3C,D,F,G).

Figure 3.

Figure 3

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Inflammatory Markers in Serum (A) IL-10, (B) VEGF, (C) IL-13, (D) IL-6, (E) TNF-α, (F) CSF, (G) MCP-1. Serum from mice exposed to either single (1X) or a repeated aspirations (6X) with (25 μg = 0.5 mg/ml) from JC, ZH or ZH + NiSO4 (n = 6/grp; *p < 0.05; **p < 0.01; ***p < 0.001). Significance was determined by comparison of all groups and Error bar represents SEM.

No significant differences were detected at the one time point exposure compared to the respected controls. There were however, significantly higher concentrations of NO discovered between repeated exposure groups (Figure 4). More specifically, repeated exposures induced a significant decrease in NO concentration in the JC and the ZH + NiSO4 samples as compared to controls. There was also a time dependent difference indicated by a significantly lower NO concentration in the JC repeated group compared to the one-time exposure JC group.

Figure 4.

Figure 4

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Total NO Measurement in Serum. Serum was collected from mice aspirated with either a single (1X) or a repeated aspirations (6X) with (25 μg = 0.5 mg/ml). *indicates a significant difference between the exposure and control group as determined by one-way Student t-Test (*p < 0.05; **p < 0.01; n = 6/grp).

PM-induced vascular response

Since constrictive responses to 120 mM KCl did not differ significantly among groups, agonist-induced responses were standardized using the 120 mM KCl responses. No significant differences were observed in the percentage of PE-induced pre-contraction between all groups and were therefore used to normalize vasodialtor (e.g. ACh, SNP) mediated responses. Results from repeated aspirations using PM from JC, ZH, and ZH + NiSO4 (0.5 mg/ml) indicated no statistical differences between groups for percent PE-induced contraction, SNP-induced relaxation or the half maximal effective concentration halfway between the baseline and maximum response values, respectively (Table 1 and Figure 5). Differences were seen in all groups when comparing maximum ACh-induced percent relaxation to controls however, only significant differences were seen in the JC and the ZH + NiSO4. In the presence of various inhibitors vascular function was improved (Figure 6). Greatest improvement was seen in the presence of NADPH oxidase inhibitor, VAS2780. ODQ and NAC showed no differences in either the treatment groups or in the control group (data not shown).

Table 1.

Gansu particle aspirations in male FVB/N mice (0.25 μg)

Gansu PM repeated aspiration H 2 0 (n) JC (n) ZH (n) ZH + NiSO 4 (n)
PE Max contraction (% ± SE) 100 ± 2.59 100.2 ± 5.84 98.7 ± 2.71 99.8 ± 7.17
Log EC 50 (M ± SE) −6.04 ± 0.17 (8) −6.13 ± 0.08 (14) −6.00 ± 0.04 (6) −6.32 ± 0.12 (16)
SNP Max relaxation (% ± SE) 1.96 ± 12.4 14.11 ± 7.73 5.24 ± 6.18 18.8 ± 8.59
Log ED 50 (M ± SE) −7.05 ± 0.15 −7.03 ± 0.25 −6.69 ± 0.14 −7.23 ± 0.28
ACh Max relaxation (% ± SE) 1.74 ± 3.08 33.0 ± 3.16*** 8.84 ± 6.29 23.6 ± 3.27***
Log ED 50 (M ± SE) −7.00 ± 0.07 −6.65 ± 0.10 −6.82 ± 0.15 −6.47 ± 0.08
Above data expressed as Mean ± SEM. Significant differences determined by comparison to H20 controls; ***p < 0.001.
Apocynin
ACh Max relaxation (% ± SE) NA 7.72 ± 4.30** NA 15.0 ± 6.63
Log ED 50 (M ± SE) −6.83 ± 0.11 (5) −6.47 ± 0.13 (5)
LNAME
ACh Max relaxation (% ± SE) NA 16.3 ± 7.51* NA 12.2 ± 7.97
Log ED 50 (M ± SE) −6.72 ± 0.18(5) −6.63 ± 0.16 (5)
VAS2870
ACh Max relaxation (% ± SE) NA 0.44 ± 4.26*** NA 0.11 ± 5.53***
Log ED 50 (M ± SE) −6.93 ± 0.11 (5) −6.70 ± 0.11 (5)
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Reported values are mean ± SEM. *indicates significant difference between respected treatment groups before and after incubation of inhibitors (*p < 0.05; **p < 0.01; ***p < 0.001).

Figure 5.

Figure 5

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Vascular responses of mesenteric arteries collected from mice aspirated with either a single (1X) or a repeated aspirations (6X) to graded dose of (A) Vascoconstriction PE (B) Vascoconstriction SNP (C) Relaxation agonist ACh (H2O Ctrl n = 8; ZH n = 6; JC n = 14; ZH + NiSO4: n = 16; *p < 0.05; **p < 0.01; ***p < 0.001). Differences detected in comparison to the control group. Error bar represents SEM.

Figure 6.

Figure 6

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Vascular responses of mesenteric arteries collected from mice aspirated with either a single (1X) or a repeated exposures (6X) to graded dose of (A) JC or (B) ZH + NiSO4 and subsequently treated with various inhibitors. Differences detected in comparison to the control group and each respected group prior to inhibitor incubation (H2O Ctrl n = 8; ZH n = 6; JC n = 14; ZH + NiSO4 n = 16; n = 5-6/inhibitor groups; *p < 0.05; **p < 0.01; ***p < 0.001). Error bar represents SEM.

Quantitative real time RT-PCR analyses

Quantitative real time RT-PCR results indicated a significantly higher mRNA expression of TNF-α in mice treated with JC and ZH + NiSO4 PM as compared to control mice as well as when compared between exposure groups and exposure frequency (Figure 7A). IL-6 expression was also significantly elevated in mice that received JC and ZH + NiSO4 PM2.5 aspirations when compared to the controls as well as when compared between exposure and exposure duration (Figure 7B). Both total SOD and MMP-9 expression was significantly higher in the JC and ZH PM2.5 spiked with NiSO4 in the 1X and 6X treated groups (Figure 7C and D). Significantly higher mRNA expression of Nos3 was seen in the 1X with JC and ZH + NiSO4 groups in comparison to those treated 6X and the control group (Figure 7E). NADPH Oxidase (NOX4) was significantly higher in the 6X aspirated group of JC and ZH + NiSO4 as compared the single aspirated groups (Figure 7F).

Figure 7.

Figure 7

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Relative mRNA expression levels from mesenteric arteries collected from mice aspirated with either a single (1X) or a repeated exposure (6X) to PM from both locations as well as ZH + NiSO4 (A) TNF-α, (B) IL-6, (C) SOD, (D) MMP-9, (E) NOS3, (F) NOX4. Differences detected in comparison to the control group. Error bar represents SEM.

Discussion

Lung inflammation has been identified as a major concern from inhalation exposure of PM, however, this study attempted to focus more so on systemic inflammatory changes due to PM exposure. To our knowledge, this is the first study to demonstrate systemic microvascular effects of pulmonary exposure to unique particulate collected from two locations comparable in PM2.5 concentration but one being uniquely higher in metal and metalloid content. Furthermore, this study demonstrates that pulmonary exposure can result in acute microvascular dysfunction.

Systemic inflammation plays a central role in the development of CVD, especially development/progression of atherosclerosis, including leukocyte recruitment, endothelial activation and dysfunction, leading to plaque formation and rupture [27]. Previously, our group has shown an increase in inflammatory cytokine and chemokine (Il-1α, TNF-α, Mip-2, and Ccl2) mRNA expression levels in lavaged lung tissue of mice exposed to various concentrations of Ni nanoparticles [28]. In our study, various inflammatory markers were assessed in BALF, serum, and in mesenteric arteries from mice exposed to PM collected from two locations in China and also PM spiked with Ni. The significant increase detected in total protein levels and neutrophil infiltration in BALF demonstrated these particles were capable of inducing pulmonary inflammation after each exposure (Figures 1 and 2). Further, this is in line with various studies that have shown that inhaled PM, which deposits throughout the respiratory tract, can induce both oxidative stress and inflammation [29,30]. The metal components in PM can also induce OS via Fenton reactions. In turn, OS and inflammatory responses may further increase the risk of vascular damage [31,32]. Our findings demonstrate that there is a dose dependent change seen in the immune response in the lung that may contribute to the systemic inflammatory processes, as indicated in the increases in BALF protein levels and the associated inflammatory markers in serum, such as increases in IL-10, VEGF, (Figure 3A,B respectively).

Many studies report that VEGF induces adhesion molecules during states of inflammation [33]. Since over-expression of circulating VEGF, in combination with defective VEGF receptors, can contribute to vascular disease by promotion of leaky vessels and prevention of EPC mobilization [34,35], high levels of PM-induced VEGF were expected in our samples. Our findings confirmed this hypothesis. The PM concentrations used in this study coupled with the Ni content may have contributed to the significantly higher VEGF concentrations in JC and ZH + NiSO4 groups as compared to control over the three-week exposure period. The fact that these changes were not observed in the ZH group, as compared to the control, may implicate Ni as the main culprit. The increase in VEGF concentration that we detected is supported by previous reports that the expression of VEGF can be mediated by metal induced hypoxia as well as direct interactions with various soluble Ni compounds [36]. Hypoxic conditions have also been documented to produce VEGF in order to stimulate angiogenesis and vascular remodeling [37]. Taken together, this indicates that perhaps the PM samples that were high in soluble Ni induced hypoxic conditions, leading to an increase in VEGF in serum as an attempt to stimulate vascular remodeling via angiogenesis.

Traditionally, matrix metalloproteinases (MMPs) have been of particular interest in their role in lung remodeling, and have been found to be central to various airway pathologies [14]. However, elevated serum levels of MMP-9 have also been identified as a novel predictor of cardiovascular mortality. During high states of oxidative stress, as evidenced by an increase in Peroxynitrite (ONOO−), the latent MMPs are activated in serum, induce vascular remodeling, and can increase expression in the vascular tissues [38]. Upregulation of MMP-9 after exposure to metals, such as vehicular emissions exposures, has been documented [39]. Specifically, Lund et al. [39] reported that a 7-week inhalation exposure to gasoline engine emissions induced elevations in aortic mRNA expression of various MMPs (ie. MMP-3, MMP-7, and MMP-9) in ApoE−/− mice. A later study by Lund et al. [40] reported a 7-day gasoline exhaust exposure induced upregulation of vascular ROS [measured as Thiobarbituric acid reactive substances (TBARS)], as well as an immediate activation of MMP-9, followed by a significant increase in transcriptional MMP-9. Our results of MMP-9 measured in both serum and as mesenteric mRNA expression were in accordance with these findings. Both single and repeated aspirations of Gansu PM, high in PM concentration and metal content (JC and ZH + NiSO4), resulted in a significant unregulation of MMP-9 when compared to ZH alone as well as to control samples.

Super oxide dismutase (SOD) is a pivotal antioxidant enzyme in vascular tissue that serves to convert superoxide anions into oxygen and hydrogen peroxide. Our study found that both short and longer-term aspirations of PM collected from Gansu Province resulted in significant increases in total SOD mRNA expression. Specifically, we found greater differences were detected in arteries from mice treated with all groups of PM and at both exposure durations when compared to control (Figure 7C). Similarly, mRNA expression of eNOS was significantly increased in the JC and ZH + NiSO4 group as compared to the single exposure control, which is not seen in the repeated exposure samples. In various vascular diseases, endothelial dysfunction is characterized by a decrease in NO bioactivity, with a concomitant increase in superoxide formation, despite the observation that eNOS mRNA were maintained or even increased. For example, eNOS protein expression was found to be increased, yet endothelial function was impaired in response to hyperglycemia, high blood pressure, or advanced age [41,42]. This increase in SOD and eNOS gene expression observed may be an attempt to protect vascular tissue from increased production of ROS generated by PM-induced uncoupling of eNOS. It is also possible that other sources of NOS (e.g. iNOS) could be contributing to these observed vascular effects and therefore future studies will explore these pathways.

The most significant finding of this study is the particle induced vascular response. Vascular oxidative stress can result from a plethora of pathways, such as NADPH oxidase, myeloperoxidase activity, xanthine oxidase, lipoxygenases, eNOS uncoupling, and the dysfunctional mitochondrial respiratory chain and lend to a variety of pathologies [43,44]. Although these pathways may operate in concert, in our study, we have demonstrated that exposures of PM from the two locations in China initiated an increase of NADPH oxidase derived ROS as indicated by the VAS2870 inhibition of NADPH oxidase (Figure 6A and B). Our results complement those from other ex vivo animal studies reporting that inhalation and aspiration exposure of environmental and other model particles are associated with both inflammatory and OS outcomes that have been shown to contribute to the impairment of endothelial function [12,45-50,51]. Impaired vascular response can be either due to a lack of nitric oxide (NO) or a dysfunction of the smooth muscle cell layer. Usage of Nox2 knockout mice could have been a good tool to utilize in order to confirm the dependence on this pathway as per Kampfrath et al. [52], however, the limited amount of available particulate posed a limitation to further exposures in vivo. We measured the total levels of NO as a marker vascular function and our results indicated significant lower levels of total NO in groups treated with repeated doses of JC and ZH + NiSO4 as compared to control and single exposures (Figure 4). We further investigated the role of NO and vascular function using an endothelial independent vasodilator, specifically, SNP in addition to ACh. However, since there was no difference in SNP-induced relaxation, it is most likely that the endothelium was most likely the target of damage. L-NAME slightly augmented ACh-induced relaxation, but did not completely assist in ACh relaxation, as is seen with the other inhibitors (Figure 6A and B). This can be explained because ACh-induced dilation could be mediated by NO, as well as other mediators such as Endothelium-Derived Hyperpolarizing Factor (EDHF). As such, NO-mediated contribution could be blocked by L-NAME, the remaining portion of the response may be mediated by non-NO mediator(s) and therefore, that contribution is not sensitive to L-NAME. Given our results from the vascular study, we conclude that PM-induced eNOS uncoupling and NADPH oxidase activation could be working in combination.

It is important to note that aspiration exposures are not a biologically relevant PM delivery method, however, this technique allows us to explore the individual components of PM as well as the mechanisms of PM-induced injury. Specifically, various studies identify oropharyngeal aspiration as an acceptable exposure methodology to deliver ambient PM collected from various sampling sites [22,43] to study animals when inhalation exposure is not possible or difficult to perform. The weekly dose delivered to mice in our study (100 μg/mouse) is comparable to the ambient PM2.5 concentration of 100–700 μg/m3, which is similar to the peak ambient PM2.5 concentration recently measured in Beijing [53]. We assume a 40% deposition efficiency of the particulate in the mouse lung over a one-week period of aspiration exposures, which equates to an exposure of approximately 96 μg/week. Similarly, the total PM dose for our 3-week exposure was 300 μg. This dose is only 5 times higher than the total PM dose described by Zhang and colleagues [53], where the average CAPs concentration was 68 μg/m3 with 15 weeks of exposure. Therefore, we believe that our exposure was not only similar to that in the Zhang et al. study but it also reflected the current real world exposure scenario in places in the world, like China. It is also difficult to justify that the changes we report were induced by solely the Ni component of the JC PM sample. It is understood that there could have been many combinations of the four elements, present in the JC PM that we could have tested; however, the preliminary BALF analysis pinpointed Ni as the main contributor to pulmonary inflammation. Additionally, it would have been ideal if these samples could have been spiked with both Ni sulfate and Ni oxide to address the contribution of soluble versus insoluble nickel. However, work that has been produced from our laboratory we explore the contribution of sulfate compared to oxide and reported that Ni sulfate was more toxic than the oxide form [28]. Also, the limited quantity of available particulate made it difficult to perform extensive repeated exposures. While the serum measurements of the cytokines in this study indicated systemic inflammation, we were unable to make similar measurements in BALF. We did not measure the expressions of various adhesion molecules such as ICAM and VCAM, because the expressions of these genes were not significantly different in our human exposure population study [21]. Further, information on each specific SOD would be helpful in better understanding the effects of PM-induced vascular damage. As such, future studies will be focused discerning the differences in the expression of the various SODs. Further, our data is limited to fairly short exposure durations and only 24 hours post last exposure endpoints were evaluated. Longer exposures, dose, elemental combinations, and time course of responses would also help to delineate the development of PM induced vascular dysfunction.

Conclusion

This study suggests that pulmonary, as well as, vascular responses can be driven by specific components of PM2.5. Even short-term exposure to PM can induce an acute systemic inflammatory response and trigger endothelial damage and vascular dysfunction. Our findings of endothelial dysfunction induced by this unique PM2.5 from Gansu Province suggest that the adverse cardiovascular effects observed are linked specifically to Ni. We report that Ni could induce an inflammatory response, alter endothelium function, and hence, elucidate vascular effects. In turn, this may adversely affect the endothelial layer thereby increasing circulating vascular mediators (inflammatory cytokines and vascular adhesion molecules) and cause an increase in vascular tone, a decrease in arterial compliance, and increases central arterial pressure, resulting in increases in left ventricular workload. These makers of vasculature impairment (e.g. arterial non-compliance or stiffening) can ultimately decrease the blood volume to the tissues increasing risk for stroke or a variety of other CVDs.

Methods

Animals

Male FVB/N mice, (12 weeks old, body weight 20–25 g) were obtained from Taconic Farms (Germantown, NY) and housed in an Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) accredited facility in Tuxedo, NY. Animals were given a two-week acclimation period, kept on normal 12 h light/dark cycles and received food and water ad labium, except during the exposure period. All procedures were conducted in compliance with New York University’s guidelines for ethical animal research.

PM2.5 sample collection and characterization

Details of the PM collection process and location are described elsewhere [31]. In brief, the particles were collected simultaneously from two large adjacent cities in Gansu Province, China from March 6th 2009—March 26th 2010: Jinchang (JC), home to the second largest nickel refinery globally, and Zhangye (ZH), an upwind city 250 miles away. Teflon filters with PM2.5 sharp-cut cyclone inlets were used to collect daily samples in both locations. Mass concentrations (obtained gravimetrically) and filter analyses for 35 elements (X-ray fluorescence spectroscopy; XRF, Model EX6600AF, Jordan Valley and spectral software XRF2000v3.1, U.S. EPA and ManTech Environmental Technology, Inc.) were conducted once all samples were collected as per Maciejczyk et al [20]. Field blanks consisting of identical filter substrate were left open to ambient air and passively collected particles (n = 30). National Institutes of Standards and Technology) standard PM reference 1648 samples, and field blanks were incorporated for quality assurance.

PM extraction

Filters were pre-wet with 70% ethanol and then sonicated in ice-cooled water for 1 hr. The extracted material was frozen, concentrated using lyophilization, and weighed to determine the extraction efficiency. Recovery of the PM averaged 80%. Extracts were reconstituted in sterile milliQ water to a final concentration of 1 mg/ml and stored at −80°C. Prior to use, the reconstituted extract was sonicated for 20 minutes and vortexed to disperse particle agglomerates.

Exposure

An oropharyngeal aspiration technique [26] was used to disperse PM into the lungs of mice. In brief, mice were anesthetized with 0.5% Isoflurane and given a 50 μl bolus of aqueous suspension of PM2.5 extract (1 mg/ml) from JC, ZH or ZH spiked with one of the following elements at the same concentrations found in the JC PM (NiSO4 = 4.76; AsO3 = 2.36; SeCl4 = 0.24; CuSO4 = 2.43 μg/mg; n = 6/grp) or water control (n = 10) via a single oropharyngeal aspiration. In order to understand if synergistic effects were a result from the actual particulate plus Ni mixture or from Ni + an inert particle (carbon) other control groups, NiSO4 + H2O and NiSO4 + Carbon, were used as negative controls (n = 4/grp). Pulmonary inflammation in BALF was evaluated in the aforementioned groups. PM spiked with Ni demonstrated the most pulmonary inflammation (Figure 1) and therefore, to further study the effects of Ni within this unique PM sample, additional groups of mice received a single or repeated (twice a wk for 3 wks) aspirated dose (50 μl @ 0.5 mg/ml) of JC, ZH or PM2.5 from ZH that was spiked with Ni (ZH + NiSO4; n = 8/location) or water control (n = 8). See Table 2 for a summary of the exposure groups. At the termination of the study, mice were euthanized, and organs were harvested and placed in liquid nitrogen. Fresh preparation of mesenteric arteries were collected and immediately placed in cold physiological salt solution.

Table 2.

Number of animals per exposure group, duration, and biological assessments

Exposure time N PM sample PM nominal concentration Collected tissues/biological fluids Biological assessment
1x 6 JC 0.5 μg BALF BALF evaluation of cell differentials, counts, and protein concentration
1x ZH
1x ZH + NiSO4
1x ZH + CuSO4
1x ZH + AsO3
1x ZH + SeCl4
1x 4 NiSO4 + H2O
1x NiSO4 + Carbon
1x 8 JC 0.25 μg BALF, Blood BALF evaluation of cell differentials, counts, and protein, various inflammation and vascular dysfunction, vessel function
3 wks 14 BALF, Blood, Mesenteric Artery
2x/wk
1x 8 ZH BALF, Blood
3 wks 8 BALF, Blood, Mesenteric Artery
2x/wk
1x 8 ZH + NiSO4 BALF, Blood
3 wks 16 BALF, Blood, Mesenteric Artery
2x/wk
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H2O controls were matched to each exposure group.

BALF assays

BALF fluid analysis was performed as previously described [8]. In brief, the trachea was cannulated and the lungs lavaged twice with 1.2 ml of phosphate buffered saline without calcium and magnesium (PBS, Invitrogen, Carlsbad, CA, USA). Harvested fluid was used to examine cell counts, cell differential and total protein levels. For cell differentials, an aliquot of lavage fluid was prepared using cytospin (Shandon, Southern Products, UK) with subsequent Hemacolor ® staining (EM Science, Gibbstown, NJ, USA). Percentage of neutrophil population was enumerated by counting 100 total cells. The remaining lavage fluid was centrifuged at 400 g for 10 min. The supernatant was analyzed for total protein levels using bovine serum albumin as a standard (BioRad, Hercules, CA, USA). All BALF assays were analyzed in duplicate.

Markers of inflammation and vascular function in serum

Ten markers of inflammatory and vascular function were analyzed in serum using an ultra sensitive electrochemiluminescence method, Meso-Scale Discovery Multi-Array technology (MSD, Gaithersburg, MD). A custom MSD cytokine panel was designed with the ability to detect seven markers (IL-6, −10, −13, MCP-1, MIP-1, MIP-1β, and TNF-α CSF, MMP-9, and VEGF). An additional MSD panel with three markers (CSF, MMP-9, and VEGF) was also designed.

Total NOx levels, a crude measure of NO release, were assayed using slightly modified methods of Nitrate/Nitrite Fluorometric Assay kit methodology as described by manufacture (Cayman Chemical, Ann Arbor, Michigan) [54]. Serum samples were initially passed through a 30 kDa molecular weight cut-off filter to remove hemoglobin. In addition to serum, tissue samples were also used in this assay. Tissues were reconstituted in cold PBS (pH 7.4), homogenized, followed by centrifugation at 10,000 X g for 20 minutes. Homogenate tissue samples were treated the same as serum samples and filtered through a 30 kDa molecular weight cut-off filter to remove large tissue pieces. Ten μl of the filtered samples were then used in the assay per the manufacture’s protocol.

Vascular function

Vascular function was measured in second order mesenteric arteries (~60 μm in diameter). To measure contractile and dilatory responses, the complete mesenteric was extracted and 2-mm long segments were cut and mounted on a 4-channel wire myograph (multi-Myograph; 610 M, Danish Myo Technology, Aarhus N, Denmark). Each segment was placed in an individual organ chambers baths filled with physiological salt solution buffer (PSS: NaCl, 119; KCl, 4.7; NaHCO3, 25; MgSO4•7H20, 1.17; KH2PO4, 1.18; CaCl2•2H20, 2.5; glucose, 5.5; EDTA, 0.027 mM, maintained at 37°C, pH 7.4 and aerated with a gas mixture of 95% O2–5% CO2 pH, 7.4; as described by [45]). The chambers were kept at 37°C and continuously aerated with 5% carbon dioxide balanced in 95% oxygen. Mounted vessels were allowed to equilibrate for at least 1 hour to a resting distaining pressure equivalent to 120 mmHg before being subjected to graded doses of agonists. After vessels equilibrated in physiological buffer solution (PBS), vessel viability was assessed using a standard challenge of KCl incubation [55] and as such each experiment was initiated by pre-contracting the vessels with 60 mM of nonspecific depolarizing agent K+-PSS (in mM: NaCl, 74.7; KCl, 60; NaHCO3, 14.9; MgSO4•7H20, 1.17; KH2PO4, 1.18; CaCl2, 1.6; glucose, 5.5; CaNa2, 0.026; EDTA, 0.027; 37°C, pH 7.4), followed by contracting the vessels with 120 mM K+-PSS (in mM: NaCl, 14.7; KCl, 120; NaHCO3, 14.9; MgSO4•7H20, 1.17; KH2PO4, 1.18; CaCl2, 1.6; glucose, 5.5; CaNa2, 0.026; EDTA, 0.027; 37°C, pH 7.4) to stimulate calcium channel function, hence contractile function [16,45,51,55]. Shortly after, the vessels were washed and allowed to equilibrate to their resting state before beginning procedures for graded dose responses.

Grades dose response

Phenylephrine (PE) was added in graded doses (1 nM to 3 μM) to evaluate vascular function (42; Sigma-Aldrich, St. Louis, MO). PE responses were expressed as a percentage of the peak response to 120 mM KCI of potassium chloride (KCl). Vessels were then washed and once equilibrated, vasorelaxation was tested by pre-contracting the segments with 1 μM PE and subsequently relaxing them with increasing concentrations (1 nM to 3 μM) of either acetylcholine (ACh) or sodium nitroprusside (SNP; Sigma-Aldrich, St. Louis, MO) per previous methodology [16,45]. Results yielded from the ACh and SNP stimuli were expressed as a percentage of pre-contraction by PE (1 μM). The half-maximal (either for dilation or contraction), dose for each vessel, as well as the maximum contraction and relaxation values were used to compare treatment groups as described in Quan et al. [45].

Inhibitors and antioxidants for vascular function study

Vessels were incubated with various inhibitors for 30 minutes prior to conducting PE, ACh or SNP response curves. NO synthase inhibitor, NW-nitro-L-arginine methyl ester (L-NAME 100 μM; Sigma Aldrich), NADPH oxidase was inhibited by a non-specific inhibitor (Apocynin 100 μM) and a specific and novel inhibitor, 3-Benzyl-7-(2-benzoxazolyl)thio-1,2,3-triazolo(4,5-d)pyrimidine (VAS2870 10 μM; both from Sigma Aldrich St. Louis, MO). 1H-[2,12,55] Oxadiazolo[4,3-a]quinoxalin-1-one (ODQ 10 μM; Sigma Aldrich St. Louis, MO), a guanylyl cyclase inhibitor, was also incubated with some vessels for 30 minutes prior to usage of PE, ACh or SNP. To protect against the potential deleterious effects of ROS, separate vessels, ex vivo, were incubated for 30 minutes with an antioxidant, N-acetyl cysteine (NAC 20 mM; Sigma Aldrich, St. Louis, MO), and the above myograph procedure was conducted as described above.

Quantitative RT-PCR

After isolation of the mesenteric arteries used for the vascular response study, the remainder of the mesenteric organ was stored in RNAlater® Solution (Ambion, Austin, TX, USA) at −20°C until further processing. Total RNA was then extracted from individual isolated arteries using RNeasy Micro Elute kit (Qiagen, Valencia, CA, USA) and treated for genomic DNA contamination (4 arteries/mouse = 1 sample; n = 6/grp). The quality and concentration was determined using a Nanodrop 1000 spectrometer (Thermo Fisher Scientific, Wilmington, DE, USA). RNA was then transcribed into cDNA by using High Capacity cDNA Reverse Transcription Kits (Applied Biosystems, Foster City, CA, USA). The relative mRNA levels were quantified using an Applied Biosystems 7900 Real-Time PCR Instrument (Applied Biosystems, Foster City, CA) with TaqMan® Gene Expression Assay primer/probe sets following the provided manufacturer’s protocol. Since all genes of interest were linear, the relative mRNA expression levels were calculated using the ΔΔCt method and normalized to the housekeeping gene, β-actin.

Statistics

All statistical analyses were performed using GraphPad Prism software (V4.0, GraphPad Software Inc, San Diego, CA). An unpaired Student’s t-test was used to compare the means of two groups of one independent variable/factor. One-way analysis of variance (ANOVA) was utilized for comparison of more than two groups of one factor (e.g. exposure treatment). A two-way ANOVA test was performed if the means of more than two groups of at least two factors (e.g. exposure treatment and exposure duration) were evaluated. Following ANOVA analyses, if the null hypothesis was rejected, then one of the following post-hoc analyses were utilized: the Newman-Keuls test for all pairwise comparisons or the Dunnett’s test for comparison of group means against the control mean.

Maximal contraction or relaxation data from vascular response was fit to a sigmoidal dose–response curves using nonlinear regression analysis and expressed as mean ± standard error (SE) unless otherwise noted. Statistical significance of treatment related vascular responses in comparison to control groups were determined by one-way ANOVA followed by Dunnett’s post hoc test analysis and P < 0.05 was considered significant.

Acknowledgements

Authors would like to acknowledge Drs. Morton Lippmann, Qinghua Sun, Matthew Campen, and Terry Gordon for their critical reviews of this manuscript.

Funding sources

This study was supported by R01ES015495 (Chen, LC), NIH Fellowship: F31 ES018236 (Cuevas, AK), Center Grant ES00260 (Chen, LC; NYU), and CIHR-DRA (Liberda, EN).

Abbreviations

As

Arsenic

CSF

Colony stimulating factor

Cu

Copper

CVD

Cardiovascular disorder

eNOS

Endothelial nitric oxide synthesis

ICAM-1

Inter-cellular adhesion molecule-1

IL-6

Interleukin-6

IL-10

Interleukin-10

IL-13

Interleukin-13

JC

Jinchang

MCP-1

Monocyte chemotactic protein-1

MMP-9

Metalloproteinase 9

NADPH

Nicotinamide Adenine Dinucleotide Phosphate

Ni

Nickel

NiSO4

Nickel Sulfate

ROS

Reactive oxygen species

PM

Particulate matter

PM2.5

Particulate matter less than 2.5 μm in size

Se

Selenium

TNF-α

tumor necrosis factor-alpha

VCAM-1

Vascular cell adhesion molecule-1

VEGF

Vascular endothelial growth factor

ZH

Zhangye

iNOS

inducible endothelial nitric oxide synthesis

Footnotes

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

AKC conceived, designed, coordinated, and performed all experiments, as well as the statistical analysis, and drafted the manuscript. JN collaborated from China and collected all the PM samples. MZ assisted in particle analysis. ENL assisted in study design, and manuscript editing. AG performed all Mesoscale analysis. QQ collaborated with China collaborators on larger study development, particle collection and analysis. LCC aided in study conception, design and assisted in manuscript preparation. All authors read and approved the final manuscript.

Contributor Information

Azita K Cuevas, Email: amj316@nyu.edu.

Jingping Niu, Email: niujingp@lzu.edu.cn.

Mianhua Zhong, Email: Mianhua.Zhong@nyumc.org.

Eric N Liberda, Email: Eric.Liberda@nyu.edu.

Andrew Ghio, Email: Ghio.Andy@epamail.epa.

Qingshan Qu, Email: Qingshan.Qu@nyumc.org.

Lung Chi Chen, Email: Lung-Chi.Chen@nyumc.org.

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