Skip to main content

Comparison of particle-exposure triggered pulmonary and systemic inflammation in mice fed with three different diets



Obesity can be linked to disease risks such as diabetes and cardiovascular disorders, but recently, the adipose tissue (AT) macrophage also emerges as actively participating in inflammation and immune function, producing pro- and anti-inflammatory factors. Connections between the AT and chronic lung diseases, like emphysema and asthma and a protective role of adipocyte-derived proteins against acute lung injury were suggested.

In this study we addressed the question, whether a diet challenge increases the inflammatory response in the alveolar and the blood compartment in response to carbon nanoparticles (CNP), as a surrogate for ambient/urban particulate air pollutants.


Mice were fed a high caloric carbohydrate-rich (CA) or a fat-rich (HF) diet for six weeks and were compared to mice kept on a purified low fat (LF) diet, respectively. Bronchoalveolar lavage (BAL) and blood samples were taken 24 h after intratracheal CNP instillation and checked for cellular and molecular markers of inflammation.

Results and discussion

The high caloric diets resulted in distinct effects when compared with LF mice, respectively: CA resulted in increased body and fat mass without affecting blood cellular immunity. Conversely, HF activated the blood system, increasing lymphocyte and neutrophil counts, and resulted in slightly increased body fat content. In contrast to higher pro-inflammatory BAL Leptin in CA and HF mice, on a cellular level, both diets did not lead to an increased pro-inflammatory basal status in the alveolar compartment per se, nor did result in differences in the particle-triggered response. However both diets resulted in a disturbance of the alveolar capillary barrier as indicated by enhanced BAL protein and lactate-dehydrogenase concentrations. Systemically, reduced serum Adiponectin in HF mice might be related to the observed white blood cell increase.


The increase in BAL pro-inflammatory factors in high caloric groups and reductions in serum concentrations of anti-inflammatory factors in HF mice, clearly show diet-specific effects, pointing towards augmented systemic inflammatory conditions. Our data suggest that extended feeding periods, leading to manifest obesity, are necessary to generate an increased susceptibility to particle-induced lung inflammation; although the diet-challenge already was efficient in driving pro-inflammatory systemic events.


Obesity and its common sequelae (e.g. type II diabetes and cardio vascular diseases) are a worldwide increasing health risk factor. The mechanisms resulting in excess storage of fat reserves depend on the over-consumption of dietary energy stimulated by high caloric and attractive food and/or reduced daily energy expenditure due to sedentary life-style [13]. The underlying physiological pathways and their genetic causes interacting with environmental factors still require substantial research efforts. Importantly, not only direct effects of increased adiposity e.g. on the sceleto-muscular system or insulin function need to be considered but also the sensitivity of obese patients to noxious substances resulting from air pollution or the adverse effects of very small airborne particles that are inhaled [13].

The adipose tissue (AT) is considered to actively participate in the regulation of physiologic and pathologic processes, like inflammation and immune function, and the obese state has been characterized to create systemic low-grade inflammation as indicated by increased inflammatory markers (reviewed in [4]). Among them are increased adipocyte-derived pro-inflammatory molecules like leptin, visfatin, and resistin, but also reduced levels of anti-inflammatory adiponectin were described [2, 46], the latter down-regulating innate immune response in cells that express the adiponectin receptor, like macrophages, and monocytes [79]. Besides the adipocyte itself, the AT macrophage as a major cell type of the AT of about 10%, is contributing largely to a pro-inflammatory situation, secreting increased levels of cytokines like TNFα, IL-6, C-reactive protein, monocyte chemoattractant protein 1 (MCP-1), and leptin as well [4]. A pre- or manifested obese state of a patient may be a significant predisposition affecting inflammatory responses to immune challenging stimuli.

Epidemiologic studies support a relationship between the AT and the lung, indicating extreme weight loss or gain to have been associated in the development of lung emphysema and asthma, respectively [1015].

Systemic proinflammatory conditions such as overweight and obesity are discussed to increase the susceptibility to adverse health effects of air pollution. In this context it is believed that pulmonary oxidative stress, resulting from inhaled particulate matter (PM) can lead to pulmonary and systemic inflammation, and subsequently to an increased cardiovascular risk. The fine PM fraction - the fraction with an aerodynamic diameter ≤ 2.5 μm (PM2.5) - is due to its most effective deposition in the distal parts of the lungs regarded as the most hazardous fraction of urban ambient PM. Epidemiological studies reported that relative to people of normal weight, overweight or obese are at increased risk of PM related health effects, associated with markers of cardiovascular impairment like reduced hart rate variability, but also with markers of systemic inflammation like increased blood cytokine levels or white blood cell counts [1618].

Studies on laboratory animals further showed leptin, its primary role being the regulation of appetite [19, 20], to affect surfactant production in type II lung epithelial cells protecting the lung from acute injury [21, 22]. Also an increased production of pro-inflammatory cytokines in alveolar macrophages resulting in emphysema-like pathogenesis in adiponectin-deficient mice was described and pre-treatment of the alveolar macrophage with adiponectin lead to suppressed secretion of pro-inflammatory cytokines indicating adiponectin as a potent anti-inflammatory molecule [23] and adipokine receptors being expressed in the murine lung already during embryogenesis [24].

According to the described results in literature that obesity locally and systemically can induce a pro-inflammatory environment we used C57BL/6J mice as a model for human obesity, induced by feeding a high caloric diet [25, 26]. We tested the hypothesis, whether exposing mice to the diet challenge for a short period of six weeks will result in higher body mass gain, changes in body composition, and whether early diet-induced changes on body parameters result in a basal pro-inflammatory state in the lung alveolar compartment and blood systemic level by investigating cellular composition and changes in molecular inflammatory factors. Finally, we wanted to clarify, whether diet-induced changes will affect/exaggerate the particle-triggered inflammatory response in the alveolar compartment on a cellular and molecular level. Therefore, carbon-nanoparticle (CNP) exposure was chosen as a surrogate for urban air pollution by combustion derived nanoparticles and as an enormously increasing anthropogenic source of indoor particulate matter with more than 10 million tones produced per year [27]. But regardless of CNP ancestry, this sub-100 nm scaled particle class in general gained toxicological interest due to the factors small dimensions, large surface area, and deposition efficiency in the lung, considering it to be important in driving adverse health effects linked to respiratory toxicity [14, 28, 29].


Diet-induced effects on body mass and body composition

Feeding animals for six weeks with diets of different caloric content (Additional File 1, Table S1) resulted in changes in body mass as well as body composition. All animals gained body mass during the trial, but only Cafeteria (CA; n = 23) animals, which were fed the diet with intermediate caloric content, were significantly heavier than Low Fat (LF; n = 25, + 1.2 g) and High Fat (HF; n = 26, + 1.1 g) animals (Figure 1, Additional File 1 Table S2), respectively. Further, CA and also HF animals showed a shift in body composition with fat mass being slightly increased compared to LF mice. Gain in lean mass of CA was only slight compared to mice fed HF diet (Figure 1). All together, results point towards a pre-obese state especially in Cafeteria diet fed mice after a only short term six week feeding period whereas HF mice did not gain as much weight but also showed increased body fat when compared with LF mice. The number of animals used and details on group settings are provided in Table 1.

Figure 1
figure 1

Body mass (BM), Fat mass and Lean mass gain of animals fed Low Fat (LF; grey bars; n = 25), Cafeteria (CA; coarse left bars; n = 23) or High Fat (HF; coarse right bars; n = 26) diet for six weeks, respectively. Statistics: post-hoc Holm-Sidak method (*P < 0.05) after significant One-Way ANOVA (diet: F = 6.604; *P = 0.002).

Table 1 Group settings: animals were fed Low Fat (LF), Cafeteria (CA), or High Fat diet for six weeks, respectively, or were left undisturbed (home cage control, HCC), and were investigated 24 h after intratracheal challenge with Printex 90 carbon-nanoparticles (CNP) or water instillation (SHAM).

Diet and treatment induced effects on BAL and Blood Cell Differentials Bronchoalveolar Lavage (BAL) cell analysis, protein and lactate dehydrogenase

Bronchoalveolar lavage (BAL) volumes gained from age-matched animals fed LF, CA, and HF diet under untreated home cage control conditions (HCC), SHAM and CNP conditions did not reveal significant differences and allowed an adequate comparison of BAL cell differentials.

Two-Way ANOVA of cytospin preparations did not reveal differences in total BAL cell numbers and respective macrophage, lymphocyte, plymorphonuclear neutrophil and eosinophil subsets by LF, CA, and HF feeding per se, since the factor diet was not significant (data not shown; for statistics please see Table 2a-e). However, ANOVA showed a significant influence of treatment on BAL cell differentials and post-hoc MWU test revealed total BAL cells to be slightly higher due to CNP-instillation - but not due to SHAM-exposure or in untreated HCC animals (Figure 2A). Therefore, results did not provide any hint for a general more pro-inflammatory status in the lung compartment of CA and HF males compared to animals fed on low fat diet (LF), since neutrophil counts were almost absent in untreated HCC groups and SHAM-exposed mice (Figure 2B; Table 2). This finding is in line with earlier investigations revealing lack of inflammatory neutrophils in absences of a lung-specific stimulus [30]. The particle-induced increase in total BAL cell numbers was mainly driven by an enormous influx of neutrophil granulocytes into the alveolar compartment, indicating acute inflammatory response, as expected (Figure 2B). To a small degree higher eosinophilis, but not the macrophage and lymphocyte subset, contributed to overall higher total BAL cell numbers, too (data not shown). The absence of a significant diet × treatment interaction term (ANOVA; Table 2a-e) and post-hoc MWU test neither provided a hint for a difference in the magnitude of inflammatory neutrophil influx between LF, CA, and HF animals by particle challenge (CNP) (Figure 2C) nor with respect to any other BAL cell subset (data not shown).

Table 2 Two-Way ANOVA of BAL cellular components, BAL protein and BAL lactate dehydrogenase content (LDH) of mice fed 6 weeks on different diets (LF, n = 25; CA, n = 23; HF, n = 26) and challenged by instillation.
Figure 2
figure 2

Total BAL cells (A) and BAL neutrophil counts (B) of untreated home cage controls (HCC; n = 25), SHAM-exposed (SHAM; n = 23), and CNP-instilled mice (CNP; n = 26) six weeks after diet challenge, irrespective of diet fed (LF; CA; HF). C: BAL neutrophils of CNP-instilled mice, previously fed on Low Fat (LF; grey bars; n = 9), Cafeteria (CA; coarse left bars; n = 8), or High Fat (HF; coarse right bars; n = 9) diet for six weeks, respectively. Statistics: post-hoc MWU test after significant Two-Way-ANOVA.

In contrast to an absence of differences in the BAL cellular composition by diet-feeding, CA and HF diet (ANOVA: diet significant) resulted in significantly higher concentrations of the intracellular enzyme lactate dehydrogenase (LDH) and total protein content in BAL fluid in comparison to mice fed on caloric low fat diet (LF) (Figure 3A,B; Table 2f). These higher protein concentrations in the alveolar lumen indicated a damage of the barrier function of the alveolar-capillary membrane and were a sign for increased lung injury. Instillation of CNPs in general increased BAL protein content (data not shown; ANOVA: treatment significant, Table 2f), irrespective of the diet fed (ANOVA: treatment x diet not significant, Table 2f). In line, higher LDH further points towards diet-induced increased cell membrane damage and necrotic cell death in BAL cells of CA and HF mice from a biological point of view. Differences by instillation (ANOVA: treatment not significant) were not observed.

Figure 3
figure 3

BAL protein (A) and BAL lactate dehydrogenase (LDH) content (B) of mice fed Low Fat (LF; grey bars; n = 25), Cafeteria (CA; coarse left bars; n = 23), or High Fat (HF; coarse right bars; n = 26) diet for six weeks, respectively, irrespective of treatment (HCC; SHAM; CNP). Statistics: post-hoc MWU test after significant Two-Way-ANOVA.

Hematological analysis

On the blood systemic level, six weeks feeding period (diet) resulted in significantly higher white blood cell (WBC) numbers in HF, but not CA animals, compared to LF animals (Table 3a-e; Figure 4A). This leukocytosis in HF mice was mainly due to a significantly higher number of lymphocytes (Table 3 Figure 4C), and to lower degree due to higher neutrophil counts (Table 3 Figure 4B), Moreover, ANOVA provided a significant treatment effect on total leukocyte numbers (WBC), lymphocytes, and the neutrophil subset (Table 3) with particle instillation resulting in higher cell numbers, respectively (Figure 4D-F) compared to HCC groups, being statistically significant or at least different at trend. Neither diet- nor treatment-induced differences were observed among the monocyte (post-hoc MWU) and the eosinophil subset (ANOVA: n.s.; data not shown), respectively. Accordingly and in line with the results on BAL cell differentials, particle instillation increased blood neutrophils, indicating an activation of the blood system on top to a slight but general more pro-inflammatory blood systemic status in HF animals by diet feeding (Figure 4B).

Table 3 Two-Way ANOVA of blood cell differentials of mice fed 6 weeks on different diets (LF, n = 25; CA, n = 23; HF, n = 26) and challenged by instillation.
Figure 4
figure 4

Diet-induced effects on white blood cells (WBC) (A), blood neutrophils (B), and blood lymphocytes (C) of mice fed Low Fat (LF; grey bars; n = 25), Cafeteria (CA; coarse left bars; n = 23), or High Fat (HF; coarse right bars; n = 26) diet for six weeks, respectively. Treatment-induced effects on respective parameters by SHAM or CNP exposure in comparison to untreaeted home cage controls (HCC) (D-F). Statistics: post-hoc MWU test after significant Two-Way-ANOVA.

BAL and Blood Inflammatory Marker Proteins - Adipokine & Cytokine Levels

In order to get further insight into the molecular events triggered by diet-feeding per se and in combination with the particle challenge, BAL and blood serum were examined. A set of known adipokine marker proteins (Table 4) as well as some selected protein markers involved in lung inflammatory reactions were checked (Table 5).

Table 4 Two-Way ANOVA/MWU test of protein markers in BAL fluid of mice fed 6 weeks on different diets (LF, n = 25; CA, n = 23; HF, n = 26) and challenged by instillation.
Table 5 Two-Way ANOVA of protein markers in blood serum of mice fed 6 weeks on different diets (LF, n = 25; CA, n = 23; HF, n = 26) and challenged by instillation.

Among adipocyte-derived marker proteins the analysis of pro-inflammatory BAL Leptin revealed significant differences caused by diet feeding among groups with higher concentrations in BAL of CA and HF animals (Table 4, Figure 5A), the diets with higher caloric content, compared to LF animals but not being further influenced by treatment (ANOVA: treatment: n.s.). In contrast, CNP instillation and to lower degree also SHAM exposure elevated BAL fibrinogen concentrations and the adipocyte-derived fibrinolytic factor plasminogen-activator inhibitor 1 (PAI-1) (Figure 5B,C), whereas diet-induced differences were absent. BAL anti-inflamamtory Adiponectin levels were neither affected by diet nor by instillation challenge (data not shown). Interestingly, the higher diet-induced BAL Leptin values were not reflected on a blood systemic level, nor, there was a treatment-induced difference in BAL and blood (data not shown), as in contrast was observed for BAL PAI-1 and fibrinogen. Remarkably, concentrations of anti-inflammatory Adiponectin in serum were reduced only in HF fed animals - but not CA fed mice which showed changes in body composition with higher fat mass gain - therefore pointing towards a more pro-inflammatory blood systemic situation in HF animals although diet-induced effects were absent in this group (Figure 5F). In line, HF diet led to lower serum Fibrinogen compared to CA and LF animals, although CNP instillation in general resulted in significantly increased parameter values (Figure 5D,E).

Figure 5
figure 5

Diet- and treatment induced effects on adipokine concentrations in BAL (A-C) and blood serum (D-F). Mice fed Low Fat (LF; grey bars; n = 25), Cafeteria (CA; coarse left bars; n = 23), or High Fat (HF; coarse right bars; n = 26) diet for six weeks, respectively. Untreated home cage controls (HCC; white bars; n = 25), SHAM exposed (SHAM; grey bars; n = 23), and CNP instilled mice (CNP; black bars; n = 26). Statistics: post-hoc MWU test after significant Two-Way-ANOVA.

Analysis of investigated inflammatory cytokines further revealed an absence of diet- and treatment-induced effects on the concentrations of IL-1α, IL-4, IL-10, IL-12(p70), and TNFα, both, in BAL fluid and blood serum (data not shown). Additionally, BAL CCL5 and serum IFNγ were unaffected (data not shown). ANOVA (diet significant) indicated diet-induced differences in cytokine levels in BAL compartment for IFNγ, CXCL1 and MIP2/CXCL2 (Figure 6A-C); however post-hoc MWU test only confirmed diet-induced lower macrophage activating factor IFNγ in HF and CA group to be significant. Also serum CCL5 was reduced by HF diet, while CXCL1 concentrations (Figure 7A, B) were increased. In BAL, values for CXCL1 and MIP2/CXCL2 (Figure 6D,E), but not IFNγ, (data not shown) were increased by particle treatment. Particle induced increase was further observed for BAL and serum IL-1β, IL-5, IL-6, IL-12(p40), and G-CSF without being affected by diet-feeding per se (Additional File 1, Figure S1). HF animals at trend further showed MIP-2 concentrations to be less increased by particle treatment compared to LF and CA animals (Figure 6F).

Figure 6
figure 6

Diet- and treatment induced effects on cytokine concentrations in BAL (A-F). Mice fed Low Fat (LF; grey bars; n = 25), Cafeteria (CA; coarse left bars; n = 23), or High Fat (HF; coarse right bars; n = 26) diet for six weeks, respectively. Untreated home cage controls (HCC; white bars; n = 25), SHAM exposed (SHAM; grey bars; n = 23), and CNP instilled mice (CNP; black bars; n = 26). Statistics: post-hoc MWU test after significant Two-Way-ANOVA.

Figure 7
figure 7

Diet-induced effects on serum cytokine concentrations (A, B). Mice fed Low Fat (LF; grey bars; n = 25), Cafeteria (CA; coarse left bars; n = 23), or High Fat (HF; coarse right bars; n = 26) diet for six weeks, respectively. Statistics: post-hoc MWU test after significant Two-Way-ANOVA.


In this study a combined diet-particle challenge model was used. The purpose of this study on the one hand was to elicit the impact of short term feeding of a high caloric carbohydrate- or fat-rich diet, respectively, on body mass gain and body composition. Moreover, we elucidated whether diets specifically affected the basal cellular and molecular status of the blood and the alveolar compartment in terms of signs for pre-obesity-triggered pro-inflammatory differences. Finally, we investigated the impact of the different diets on the inflammatory response in a well-defined carbon-nanoparticle-triggered lung inflammation model [30].

Diet-induced body mass changes - distinct effects on body composition & systemic and alveolar pro-inflammatory status

Interestingly, we showed here that not the high fat diet (HF), with highest caloric content, but a carbohydrate-rich and calorically intermediate Cafeteria diet (CA) resulted in marked body mass gain and changes in body composition, as indicated by increased fat mass, compared to mice fed on a low fat control diet or mice fed HF. Therefore, not primarily the caloric content but the composition and flavour of the diet was the more important issue inducing a pre-obese state in our animal model. The characteristics of diet induced obesity triggered by a cafeteria diet, as compared to a regular HF diet is currently under investigation. It can be assumed that varying flavours (e.g. chocolate) stimulate hyperphagia and over-consumption of energy. To our surprise and in contrast, differences in systemic blood cellular immunity were not affected by CA diet and rather High Fat diet resulted in a marked activation of the immune system as indicated by an increase in lymphocyte counts and also slightly higher numbers of inflammatory neutrophils, pointing towards slightly increased general inflammatory status. However both, CA and HF diet resulted in higher total BAL protein and BAL lactate dehydrogenase content, indicating a disturbance in the alveolar compartment, and possibly even increased cell necrosis and a loss of the alveolar-capillary membrane in its function as a barrier, in general allowing selective influx of molecular and cellular components into the alveolar space. Regardless, both high caloric diets did not result in an increased inflammatory status in the alveolar region as far as inflammatory cell influx is concerned. Further, while lowering IFNγ concentrations in BAL, significantly increased pro-inflammatory Leptin was found in BAL as well, which may be considered as a hint towards pro-inflammation from a molecular point of view, compared to mice fed LF diet. A higher pro-inflammatory status is further supported by reduced concentrations of anti-inflammatory adiponectin in the serum of HF mice only, but not CA fed mice, however again, the latter not affecting blood cellular composition or magnitude of cell numbers and may point towards distinct counterbalancing effects depending on the diet fed. All together the results clearly show that the only short term six weeks feeding period was well chosen to investigate the early events taking place at the onset of diet-induced metabolic changes and its impact on cellular and molecular components in the alveolar and the blood systemic compartment before systems derail.

Carbon-nanoparticle-triggered inflammatory response in diet-fed mice

As expected CNP challenge resulted in a dramatic recruitment of inflammatory neutrophils into the alveolar compartment [30], however did not provide differences in the magnitude among diet-fed groups. Also several inflammatory and risk marker proteins concomitantly were elevated in BAL and serum, like the granulocyte colony stimulating factor (G-CSF), monocyte/macrophage-derived inflammatory proteins IL-1β and IL-12(p40), eosinophil chemo-attractant IL-5, and the inflammatory and cardiovascular risk factors IL-6 and adipocyte- or lung epithelial derived Fibrinogen [31, 32], all together showing effectiveness of the challenge itself. Interestingly, although particle challenge in general increased PAI-1, CXCL1, and MIP2/CXCL2 concentrations in BAL, HF animals revealed at least at trend lower BAL macrophage inflammatory protein 2 (MIP2) values in comparison to LF and CA mice, respectively, and therefore may indicate a lower degree of macrophage pro-inflammatory activation which in turn partially may be responsible for an absence in the extent of neutrophil influx among groups. Synergistically, also reduced macrophage-activating BAL IFNγ concentrations, found in both, HF and CA mice, may have contributed to an absence of neutrophil differences in the alveolar compartment. The absence of a stronger cellular inflammatory response in CA and HF mice, despite an increased BAL Leptin content, represents an interesting finding, since Leptin resistance was shown to reduce hyperoxia-induced lung inflammation and to protect from lung fibrosis [33, 34]. Accordingly, the increased BAL Leptin found in the present study would have been expected to increase the inflammatory response in CA and HF mice. In this context, a recent study showed exogenous Leptin administration to reduce the cellular inflammatory response in a chronic COPD model [35]. Therefore, in the present study, either Leptin in BAL acted anti-inflammatory and prevented an increased particle related neutrophil influx in CA and HF mice, or, if BAL Leptin action was pro-inflamamtory, then other molecular factors may have counterbalanced, like the reduced MIP2 and IFNγ concentrations in BAL, which predominantly can be dedicated to be of alveolar macrophage origin. Seen from this angle, the differences in HF mice, regarding their inflammatory state in the blood system appear more to be affected by the reduced anti-inflammatory serum Adiponectin levels.


All together our results provide insight into the changes of pro- and anti-inflammatory marker proteins caused by feeding diets of different caloric content and composition. The data show, that although the diet-challenge already was efficient in driving pro-inflammatory systemic events, extended feeding periods are necessary to generate an increased susceptibility to particle-induced lung inflammation.


Animals and Experimental Setup

Male C57BL/6J mice were received (Charles River, 97633 Sulzfeld, Germany) at an age of four weeks. Upon entry into our animal facility, animals were kept in isolated ventilated cages (IVC-Racks; BioZone, Margate, UK) supplied with filtered air, in a 12-hr light/12-hr dark cycle (lights on from 06:00 - 18:00) and allowed to adapt to conditions for approximately three weeks (19-20 days). Food (standard chow) and water were available ad libitum. After acclimatisation period animals were divided into three weight-matched groups and fed different diets (SSniff Spezialdiäten GmbH, 59494 Soest, Germany) for a period of six weeks, respectively. One group remained on a standard low fat diet (Low Fat; LF, gross energy content 16.27 kJ/g dry mass; n = 25) isocaloric to the chow fed during acclimatisation period, the second group (n = 23) was fed a carbohydrate-rich Cafeteria-diet (Cafeteria; CA; sodium/rich biscuit/sugar; gross energy content 18.94 kJ/g dry mass). The three different cafeteria diets were mixed in equal proportions. The third group (n = 26) was fed a high-caloric fat-diet (High Fat; HF; gross energy content 23.54 kJ/g dry mass). All procedures for animal handling and experiments were performed in accordance with protocols approved by the Regierung von Oberbayern (District Government of Upper Bavaria). Experiments were performed at the German Mouse Clinic phenotyping platform (GMC) [36, 37].

Body Mass and Body Composition

Body mass of animals was monitored at the day of delivery (4 weeks old) and the day the diet challenge started (7 weeks old). Further body mass development was monitored in weekly intervals until the end of six weeks' feeding period. Body composition was determined at delivery; at the beginning of the diet challenge as well as every second week during the diet-feeding (after week 2, 4, 6, respectively) using a whole animal body composition analyzer (Minispec Bruker, Ettlingen Germany) based on Time Domain Nuclear Magnetic Resonance (TD-NMR) which provides a precise method for the measurement of lean tissue and body fat in live mice without anaesthesia. To conduct the measurement single mice were placed in a plastic restrainer that was introduced into the magnet of the scanner for up to 5 minutes to collect data. Data acquisition was based on a calibration using dissected lean muscle and fat tissue. For the statistical analysis, a linear regression model was applied including diet as main factor and body mass as covariate to adjust for body mass differences.

Particle Challenge Design and Group Setup

Particle challenge was done directly after six weeks' feeding period in the 13 weeks old animals. In a counterbalanced system, animals of all three groups (LF, CA, HF) were either instilled with an aqueous suspension of Printex 90 carbon-nanoparticles (CNP) as previously described [38] (zeta potential: 33 mV; agglomerate diameter in suspension: 0.17 μm), or pyrogene-free distilled water (SHAM exposed) respectively or were left undisturbed and served as controls (Home Cage Control; HCC). Printex 90 was chosen as frequently used commercially available pigment black (Degussa, Frankfurt, Germany) (diameter [nm]: 14; organic content [%]: 1; surface area [m2/g]: 272); as characterized earlier [30, 39]. For details on group setup and sample size, see Table 1.

Prior to instillation, mice were anesthetized by intraperitoneal injection of a mixture of Medetomidin (0.5 mg/kg body mass), Midazolam (5.0 mg/kg body mass) and Fentanyl (0.05 mg/kg body mass). The animals were then intubated by a nonsurgical technique (Brown et al. 1999). Using a cannula inserted 10 mm into the trachea, a suspension containing 20 μg CNPs particles, respectively, in 50 μL pyrogene-free distilled water was instilled, followed by 100 μL air; the suspension of poorly soluble CNPs was sonicated on ice for 1 min prior to instillation, using a SonoPlus HD70 (Bachofer, Berlin, Germany) at a moderate energy of 20 W resulting in a mean agglomerate size of 0.17 μm (Zetasizer Nano ZS, Malvern Instruments, Herrenberg, Germany). SHAM animals were instilled 50 μL pyrogene-free distilled water only [40]. After instillation animals were antagonized by subcutaneous injection of a mixture of Atipamezol (2.5 mg/kg body mass), Flumazenil (0.5 mg/kg body mass) and Naloxon (1.2 mg/kg body mass) to guarantee their awakening and well-being. Animals were treated humanely and with regard for alleviation of suffering; experimental protocols were reviewed and approved by the Bavarian Animal Research Authority.

Blood, Serum, and Bronchoalveolar Lavage (BAL) sampling

Twenty-four hours after instillation, mice were anesthetized by intraperitoneal injection of a mixture of xylazine (4.1 mg/kg body weight) and ketamine (188.3 mg/kg body weight) and killed by exsanguination. Therefore, blood was drawn from the retroorbital plexus by a capillary and collected a.) in EDTA covered tubes (Sarstedt) for haematological analysis (ADVIA Hematology Systems (Bayer Diagnostics) and b.) non EDTA-covered tubes to gain blood serum. Subsequently BAL was performed by cannulating the trachea and infusing the lungs 10 times with 1.0 mL PBS without calcium and magnesium, as described previously [40]. The BAL fluids from lavages 1 and 2 and from lavages 3-10 were pooled and centrifuged (425 g, 20 min at room temperature). The cell-free supernatant from lavages 1 and 2 were pooled and used for biochemical measurements such as lactate dehydrogenase (LDH), total protein, and cytokine concentration. The cell pellet was resuspended in 1 mL RPMI 1640 medium (BioChrome, Berlin, Germany) and supplemented with 10% foetal calf serum (Seromed, Berlin, Germany); the number of living cells was determined by the trypan blue exclusion method. We performed cell differentials on the cytocentrifuge preparations (May-Grünwald-Giemsa staining; 2 × 200 cells counted) and the number of polymorphonuclear leukocytes (PMNs) was used as a marker of inflammation.

BAL: Total Protein Content and Lactate Dehydrogenase (LDH) Assay

Total BAL protein content was determined spectrophotometrically with an ELISA reader (Labsystems iEMSReader MF, Helsinki, Finland) at 620 nm, applying the Bio-Rad Protein Assay Dye Reagent (no. 500-0006; BioRad, Munich, Germany), as a potential biological marker for pulmonary capillary leakage and lung injury [31]. 5 μl BAL fluid/mouse was used for analysis.

For detection of the cytosolic enzyme lactate dehydrogenase (LDH) (U/ml), characteristic for membrane damaging effects, the Cytotoxicity Detection Kit (Roche Diagnostics, Germany) was used according to the manufacturer's instructions. LDH concentration in the BAL fluid (30 μl) was spectrophotometrically determined with an ELISA reader (Labsystems iEMS Reader MF, Helsinki, Finland) at a wavelength of 492 nm.

Cytokine and Adipokine Detection (Multiplexed immunoassays)

BAL fluid and blood serum adipokine concentrations were investigated using a Luminex xMAP system (Milliplex, mouse CVD Panel 2 and mouse adipocyte Panel, Millipore Corporation, 290 Concord Road, Billeria, MA 01821, USA) to simultaneously detect the concentration for the 4 following adipokine analytes: fibrinogen, leptin, adiponectin, PAI-1. Measurement was performed according to the manufacturer's instructions.

Accordingly to adipokine analysis, also cytokine/chemokine concentrations were investigated in BAL fluid and blood serum using Bio-Plex Pro Mouse 14Plex Cytokine Panel, Bio-Rad Laboratories, 2000 Alfred Nobel Drive, Hercules CA 94547, USA).

Simultaneously the following 14 cytokines/chemokines were investigated in cell-free BAL fluid (50 μl) or blood serum (15 μl serum + 35 μl sample diluent). Analytes were as follows: IL-1α, IL-1β, IL-4, IL-5, IL-6, IL-10, IL-12(p40), IL-12(p70), IFN-γ, TNF-α, CXCL2 (MIP2), G-CSF, CCL5 (RANTES), CXCL1 (KC).

For all measurements the mean fluorescence intensity (MFI) was detected by the Multiplex plate reader (Luminex System, Bio-Rad Laboratories, Germany). For each sample a minimum of 50 beads per region were analyzed. Multiplex plate reader software (Bioplex Manager, Version 4.1.1) was used to capture raw data (MFI). For data analysis, a four-parameter logistic curve fit was applied to each standard curve and sample.


We tested the effects of the two factors diet (3 levels: Low Fat diet (LF), Cafeteria diet (CA), High Fat diet (HF)) and treatment (3 levels: untreated home cage control (HCC), water-instilled SHAM group at 24 h (SHAM), and CNP instillation after 24 h (CNP)) on different response variables, as shown in Tables 2, 3, 4, 5 (Two-Way ANOVA). We included the interaction of the two factors (diet x treatment) in order to test whether the treatment showed differential effects within the different diet groups. If not statistically significant, the interaction term was reduced and the model was re-calculated. Response variables, which deviated from the normal distribution, were log-, or square-root-transformed. Normality of the model residuals was checked visually by normal probability plots and with the Shapiro-Wilk test, and we assured the homogeneity of variances and goodness of fit by plotting residuals versus fitted values and by the Levene test [41]. Post-hoc comparisons were conducted with the Mann-Withney U test (MWU). In cases transformation of data failed to reach normal distribution MWU test was performed as statistical test. All statistical analyses were done using the software SPSS 11.0 (SPSS Inc., Chicago, IL).

Body mass, lean and fat mass data accordingly were tested by One-Way ANOVA for the factor diet only (Figure 1). Holm-Sidak method was used for post-hoc comparison between diet-fed groups.

All data are expressed as mean ± SEM. Within graphs significant P-values are shown by asterisks (*P < 0.050, **P < 0.010, ***P < 0.001) and trends are indicated by plus symbol (+ P < 0.10).


  1. Cottam D, Mattar S, Barinas-Mitchell E, Eid G, Kuller L, Kelley D, Schauer PR: The chronic inflammatory hypothesis for the morbidity associated with morbid obesity: implications and effects of weight loss. Obes Surg 2004, 14: 589–600. 10.1381/096089204323093345

    Article  PubMed  Google Scholar 

  2. Steppan C, Bailey S, Bhat S, Brown E, Banerjee R, Wright C, Patel H, Ahima R, Lazar M: The hormone resistin links obesity to diabetes. Nature 2001, 409: 307–312. 10.1038/35053000

    Article  CAS  PubMed  Google Scholar 

  3. Trujillo M, Scherer P: Adipose tissue-derived factors: impact on health and disease. Endocr Rev 2006, 27: 762–778.

    Article  CAS  PubMed  Google Scholar 

  4. Fantuzzi G: Adipose tissue, adipokines, and inflammation. J Allergy Clin Immun 2005, 115: 911–919. 10.1016/j.jaci.2005.02.023

    Article  CAS  PubMed  Google Scholar 

  5. Guerre-Millo M: Adiponectin: an update. Diabetes Metab 2008, 34: 12–18. 10.1016/j.diabet.2007.08.002

    Article  CAS  PubMed  Google Scholar 

  6. Luk T, Malam Z, Marshall JC: Pre-B cell colony-enhancing factor (PBEF)/visfatin: a novel mediator of innate immunity. J Leukocyte Biol 2008, 83: 804–816. 10.1189/jlb.0807581

    Article  CAS  PubMed  Google Scholar 

  7. Chinetti G, Zawadski C, Fruchart J, Staels B: Expression of adiponectin receptors in human macrophages and regulation by agonists of the nuclear receptors PPARalpha, PPARgamma, and LXR. Biochem Bioph Res Co 2004, 314: 151–158. 10.1016/j.bbrc.2003.12.058

    Article  CAS  Google Scholar 

  8. Park P, McMullen M, Huang H, Thakur V, Nagy L: Short-term treatment of RAW264.7 macrophages with adiponectin increases tumor necrosis factor-alpha (TNF-alpha) expression via ERK1/2 activation and Egr-1 expression: role of TNF-alpha in adiponectin-stimulated interleukin-10 production. J Biol Chem 2007, 282: 21695–21703. 10.1074/jbc.M701419200

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  9. Yamaguchi N, Argueta J, Masuhiro Y, Kagishita M, Nonaka K, Saito T, Hanazawa S, Yamashita Y: Adiponectin inhibits Toll-like receptor family-induced signaling. FEBS Lett 2005, 579: 6821–6826. 10.1016/j.febslet.2005.11.019

    Article  CAS  PubMed  Google Scholar 

  10. Chen Y, Dales R, Jiang Y: The association between obesity and asthma is stronger in nonallergic than allergic adults. Chest 2006, 130: 890–895. 10.1378/chest.130.3.890

    Article  PubMed  Google Scholar 

  11. Chen Y, Dales R, Tang M, Krewski D: Obesity may increase the incidence of asthma in women but not in men: longitudinal observations from the Canadian National Population Health Surveys. Am J Epid 2002, 155: 191–197. 10.1093/aje/155.3.191

    Article  Google Scholar 

  12. Chinn S: Obesity and asthma: evidence for and against a causal relation. J Asthma 2003, 40: 1–16. 10.1081/JAS-120017202

    Article  PubMed  Google Scholar 

  13. Coxson H, Chan I, Mayo J, Hlynsky J, Nakano Y, Birmingham C: Early emphysema in patients with anorexia nervosa. Am J Resp Crit Care 2004, 170: 748–752. 10.1164/rccm.200405-651OC

    Article  Google Scholar 

  14. Sacks J, Stanek L, Luben T, Johns D, Buckley B, Brown J, Ross M: Particulate Matter Induced Health Effects: Who's Susceptible? Envirnon Health Persp 2011, 119: 446–454.

    Article  Google Scholar 

  15. Tantisira K, Weiss S: Complex interactions in complex traits: obesity and asthma. Thorax 2001,56(suppl):II64–74.

    PubMed Central  PubMed  Google Scholar 

  16. Dubowsky S, Suh H, Schwartz J, Coull B, Gold D: Diabetes, obesity, and hypertension may enhance associations between air pollution and markers of systemic inflammation. Envirnon Health Persp 2006, 114: 992–998. 10.1289/ehp.8469

    Article  CAS  Google Scholar 

  17. Schneider A, Neas L, Herbst M, Case M, Williams R, Cascio W, Hinderliter A, Holguin F, Buse J, Dungan K, et al.: Endothelial dysfunction: associations with exposure to ambient fine particles in diabetic individuals. Envirnon Health Persp 2008, 116: 1666–1676. 10.1289/ehp.11666

    Article  CAS  Google Scholar 

  18. Schwartz J, Park S, O'Neill M, Vokonas P, Sparrow D, Weiss S, Kelsey K: Glutathione-S-transferase M1, obesity, statins, and autonomic effects of particles: gene-by-drug-by-environment interaction. Am J Resp Crit Care 2005, 172: 1529–1533. 10.1164/rccm.200412-1698OC

    Article  Google Scholar 

  19. Elmquist J: Hypothalamic pathways underlying the endocrine, autonomic, and behavioral effects of leptin. Physiol Behav 2001, 74: 703–708. 10.1016/S0031-9384(01)00613-8

    Article  CAS  PubMed  Google Scholar 

  20. Friedman J: The function of leptin in nutrition, weight, and physiology. Nutr Rev 2002,60(10 Pt 2):S1–14. discussion S68–84, S85–87

    Article  PubMed  Google Scholar 

  21. Bergen H, Cherlet T, Manuel P, Scott J: Identification of leptin receptors in lung and isolated fetal type II cells. Am J Resp Cell Mol 2002, 27: 71–77.

    Article  CAS  Google Scholar 

  22. Gultekin F, Kerem M, Tatlicioglu E, Aricioglu A, Unsal C, Bukan N: Leptin treatment ameliorates acute lung injury in rats with cerulein-induced acute pancreatitis. World J Gastroentero 2007, 13: 2932–2938.

    CAS  Google Scholar 

  23. Summer R, Little F, Ouchi N, Takemura Y, Aprahamian T, Dwyer D, Fitzsimmons K, Suki B, Parameswaran H, Fine A, et al.: Alveolar macrophage activation and an emphysema-like phenotype in adiponectin-deficient mice. J Physiol Lung Cell Mol Phys 2008, 294: L1035-L1042. 10.1152/ajplung.00397.2007

    Article  CAS  Google Scholar 

  24. Zhou Y, Sun X, Jin L, Stringfield T, Lin L, Chen Y: Expression profiles of adiponectin receptors in mouse embryos. Gene Expr Patterns 2005, 5: 711–715. 10.1016/j.modgep.2005.02.002

    Article  CAS  PubMed  Google Scholar 

  25. Ikemoto S, Takahashi M, Tsunoda N, Maruyama K, Itakura H, Ezaki O: High-fat diet-induced hyperglycemia and obesity in mice: differential effects of dietary oils. Metabolism 1996, 45: 1539–1546. 10.1016/S0026-0495(96)90185-7

    Article  CAS  PubMed  Google Scholar 

  26. Surwit R, Feinglos MN, Rodin J, Sutherland A, Petro AE, Opara EC, Kuhn CM, Rebuffe-Scrive M: Differential effects of fat and sucrose on the development of obesity and diabetes in C57BL/6J and A/J mice. Metabolism 1995, 44: 645–651. 10.1016/0026-0495(95)90123-X

    Article  CAS  PubMed  Google Scholar 

  27. Jacobsen N, Moller P, Jensen K, Vogel U, Ladefoged O, Loft S, Wallin H: Lung inflammation and genotoxicity following pulmonary exposure to nanoparticles in ApoE-/- mice. Part Fibr Tox 2009., 6:

    Google Scholar 

  28. Duffin R, L N, Donaldson K: Nanoparticles-a thoracic toxicology perspective. Yonsei Med J 2007, 48: 561–572. 10.3349/ymj.2007.48.4.561

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. Nel A, Xia T, Madler L, Li N: Toxic potential of materials at the nanolevel. Science 2006, 311: 622–627. 10.1126/science.1114397

    Article  CAS  PubMed  Google Scholar 

  30. Stoeger T, Reinhard C, Takenaka S, Schroeppel A, Karg E, Ritter B, Heyder J, Schulz H: Instillation of six different ultrafine carbon particles indicates a surface area threshold dose for acute lung inflammation in mice. Envirnon Health Persp 2006, 114: 328–333.

    Article  Google Scholar 

  31. Guadiz G, Sporn L, Goss R, Lawrence S, Marder V, Simpson-Haidaris P: Polarized secretion of fibrinogen by lung epithelial cells. Am J Resp Cell Mol 1997, 17: 60–69.

    Article  CAS  Google Scholar 

  32. McCarty M: Interleukin-6 as a central mediator of cardiovascular risk associated with chronic inflammation, smoking, diabetes, and visceral obesity: down-regulation with essential fatty acids, ethanol and pentoxifylline. Med Hypothesis 1999, 52: 465–477. 10.1054/mehy.1997.0684

    Article  CAS  Google Scholar 

  33. Bellmeyer A, Martino J, Chandel N, Scott Budinger G, Dean D, Mutlu G: Leptin resistance protects mice from hyperoxia-induced acute lung injury. Am J Resp Crit Care 2007, 175: 587–594. 10.1164/rccm.200603-312OC

    Article  CAS  Google Scholar 

  34. Jain M, Budinger G, Lo A, Urich D, Rivera S, Ghosh A, Gonzalez A, Chiarella S, Marks K, Donnelly H, et al.: Leptin Promotes Fibroproliferative ARDS by Inhibiting Peroxisome Proliferator-activated Receptor-{gamma}. Am J Resp Crit Care 2011.

    Google Scholar 

  35. Vernooy J, Bracke K, Drummen N, Pauwels N, Zabeau L, van Suylen R, Tavernier J, Joos G, Wouters E, Brusselle G: Leptin modulates innate and adaptive immune cell recruitment after cigarette smoke exposure in mice. Journal of Immunology 2010, 184: 7169–7177. 10.4049/jimmunol.0900963

    Article  CAS  Google Scholar 

  36. Fuchs H, Gailus-Durner V, Adler T, Aguilar-Pimentel J, Becker L, Calzada-Wack J, Da Silva-Buttkus P, Neff F, Gotz A, Hans W, et al.: Mouse phenotyping. Methods 2011, 53: 120–135. 10.1016/j.ymeth.2010.08.006

    Article  CAS  PubMed  Google Scholar 

  37. Gailus-Durner V, Fuchs H, Becker L, Bolle I, Brielmeier M, Calzada-Wack J, Elvert R, Ehrhardt N, Dalke C, Franz T, et al.: Introducing the German Mouse Clinic: open access platform for standardized phenotyping. Nature Methods 2005, 2: 403–404. 10.1038/nmeth0605-403

    Article  CAS  PubMed  Google Scholar 

  38. Ganguly K, Upadhyay S, Irmler M, Takenaka S, Pukelsheim K, Beckers J, Hamelmann E, Schulz H, Stoeger T: Pathway focused protein profiling indicates differential function for IL-1B, -18 and VEGF during initiation and resolution of lung inflammation evoked by carbon nanoparticle exposure in mice. Part Fibre Toxicol 2009, 6: 31.

    Article  PubMed Central  PubMed  Google Scholar 

  39. Stoeger T, Takenaka S, Frankenberger B, Ritter B, Karg E, Maier K, Schulz H, Schmid O: Deducing in vivo toxicity of combustion-derived nanoparticles from a cell-free oxidative potency assay and metabolic activation of organic compounds. Environ Health Perspect 2009, 117: 54–60.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  40. Kodavanti U, Schladweiler M, Ledbetter A, Hauser R, Christiani D, McGee J, Richards J, Costa DL: Temporal association between pulmonary and systemic effects of particulate matter in healthy and cardiovascular compromised rats. J Toxicol Environ Health A 2002, 65: 1545–1569. 10.1080/00984100290071667

    Article  CAS  PubMed  Google Scholar 

  41. Faraway J: Extending the Linear Model with R. Generalized Linear, Mixed Effects and Nonparametric Regression Models. Boca Raton, Fl: Chapman and Hall/CRC; 2006.

    Google Scholar 

Download references


This work was supported in part by grants from the European Community (EUMODIC LSHG-2006-037188) and from the German Federal Ministry of Education and Research (BMBF) to the German Center for Diabetes Research (DZD e.V.) and NGFNplus (No. 01GS0850 and 01GS0869). We would like to thank Birgit Frankenberger and Ann-Elisabeth Schwarz for their excellent technical assistance.

Author information

Authors and Affiliations


Corresponding authors

Correspondence to Alexander A Götz or Tobias Stoeger.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AG, JR and TS conceived and designed the experiments. AG and JR performed the experiments. AG, JR, and HR analyzed the data. AG, JR, HGR, HF, VG, MHA, MK, and TS wrote the manuscript. All authors read and approved the final manuscript.

Electronic supplementary material


Additional file 1: Additional File 1 , Figure S1 showing treatment-induced effects on cytokine concentrations in BAL fluid and blood serum; Additional File 1 , Tables 1 and 2 , giving information about diet composition and energy content (manufacturer information) of Low Fat, (LF), Cafeteria (CA), and High Fat (HF) diet and providing overview and values of investigated parameters in LF, CA, and HF animals, respectively. (PDF 175 KB)

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Götz, A.A., Rozman, J., Rödel, H.G. et al. Comparison of particle-exposure triggered pulmonary and systemic inflammation in mice fed with three different diets. Part Fibre Toxicol 8, 30 (2011).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: