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. 2019 May 16;127(5):057009. doi: 10.1289/EHP4591

Glucose Homeostasis following Diesel Exhaust Particulate Matter Exposure in a Lung Epithelial Cell-Specific IKK2-Deficient Mouse Model

Sufang Chen 1,2, Minjie Chen 2, Wei Wei 2,3, Lianglin Qiu 2,4, Li Zhang 2, Qi Cao 5, Zhekang Ying 2,
PMCID: PMC6791567  PMID: 31095431

Abstract

Background:

Pulmonary inflammation is believed to be central to the pathogenesis due to exposure to fine particulate matter with aerodynamic diameter 2.5μm (PM2.5). This central role, however, has not yet been systemically examined.

Objective:

In the present study, we exploited a lung epithelial cell-specific inhibitor κB kinase 2 (IKK2) knockout mouse model to determine the role of pulmonary inflammation in the pathophysiology due to exposure to diesel exhaust particulate matter (DEP).

Methods:

SFTPC -rtTA+/tetO -cre+/IKK2flox/flox (lung epithelial cell-specific IKK2 knockout, KO) and SFTPC -rtTA+/tetO -cre+/IKK2flox/flox (wild-type, tgWT) mice were intratracheally instilled with either vehicle or DEP for 4 months, and their inflammatory response and glucose homeostasis were then assessed.

Results:

In comparison with tgWT mice, lung epithelial cell-specific IKK2-deficient mice had fewer DEP exposure-induced bronchoalveolar lavage fluid immune cells and proinflammatory cytokines as well as fewer DEP exposure-induced circulating proinflammatory cytokines. Glucose and insulin tolerance tests revealed that lung epithelial cell-specific IKK2 deficiency resulted in markedly less DEP exposure–induced insulin resistance and greater glucose tolerance. Akt phosphorylation analyses of insulin-responsive tissues showed that DEP exposure primarily targeted hepatic insulin sensitivity. Lung epithelial cell–specific IKK2-deficient mice had significantly lower hepatic insulin resistance than tgWT mice had. Furthermore, this difference in insulin resistance was accompanied by consistent differences in hepatic insulin receptor substrate 1 serine phosphorylation and inflammatory marker expression.

Discussion:

Our findings suggest that in a tissue-specific knockout mouse model, an IKK2-dependent pulmonary inflammatory response was essential for the development of abnormal glucose homeostasis due to exposure to DEP. https://doi.org/10.1289/EHP4591

Introduction

Exposure to fine particulate matter with aerodynamic diameter 2.5μm (PM2.5) correlates with increased risk for type 2 diabetes mellitus and various abnormalities in glucose homeostasis (Bowe et al. 2018; Lucht et al. 2019; Lucht et al. 2018). However, how PM2.5 exposure promotes the development of abnormal glucose homeostasis remains to be determined (EPA 2018). Putative mechanisms for this include: a) extrapulmonary translocation of PM2.5 components; b) autonomic nervous system (ANS) dysfunction; and c) egress from the pulmonary inflammatory response (Rajagopalan et al. 2018). The evidence is strongest for egress from the pulmonary inflammatory response. Specifically, many studies have demonstrated that exposure to PM2.5 causes pronounced pulmonary inflammation in humans (e.g., Habre et al. 2018; Kubesch et al. 2015) and in animal models (e.g., Happo et al. 2007; He et al. 2017), and a time course study revealed that PM2.5 exposure-induced pulmonary inflammation preceded adverse extrapulmonary effects, such as systemic inflammation (Brook et al. 2010). As it is a consensus that systemic inflammation plays a crucial role in the pathogenesis of type 2 diabetes mellitus, pulmonary inflammation is postulated to be central to the pathogenesis of abnormal glucose homeostasis due to exposure to PM2.5 (Brook et al. 2017). Consistent with this notion, we recently showed that pulmonary inflammation subsequent to lung epithelial cell-specific overexpression of constitutively active inhibitor κB kinase 2 (IKK2ca) was sufficient to induce marked insulin resistance (Chen et al. 2017). However, we also found that 5 wk of withdrawal from exposure to PM2.5 resolved PM2.5 exposure–induced extrapulmonary inflammation, vascular dysfunction, and hypertension, but not pulmonary inflammation (Ying et al. 2015), suggesting that a mechanism other than pulmonary inflammation may also be involved in PM2.5 exposure–induced systemic inflammation or abnormalities in glucose homeostasis. Further studies are thus needed to pinpoint the role of pulmonary inflammation in the development of adverse effects due to PM2.5 exposure.

IKK2 regulates nuclear factor-kappaB (NF -κB) activity and plays a crucial role in both acute and chronic inflammations (Pahl 1999). Studies have shown that exposure to PM2.5 activates the IKK2/NF -κB pathway in various tissues, including the lung (Dagher et al. 2007; Kafoury and Madden 2005; Maciejczyk and Chen 2005; Mantecca et al. 2010; Nam et al. 2004). Furthermore, inhibition of IKK2 blocked PM2.5 exposure–induced expression of inflammatory cytokines in respiratory epithelial cells (Li et al. 2013) and alveolar macrophages (Kafoury and Madden 2005), suggesting that targeting pulmonary IKK2 might disconnect PM2.5 exposure and pulmonary inflammation. In the present study, we therefore generated lung epithelial cell–specific IKK2-deficient mice (SFTPC -rtTA+/tetO -cre+/IKK2flox/flox) and used them to ascertain the role of pulmonary inflammation in the pathogenesis of insulin resistance due to exposure to diesel exhaust particulate matter (DEP).

Materials and Methods

Animals

University of Maryland, Baltimore (UMB) is an AAALAC-accredited institution. All procedures in this study were approved by the Institutional Animal Care and Use Committee (IACUC) at UMB, and all the animals were treated humanely and with regard for alleviation of suffering. SFTPC-rtTA (Stock No. 016146) and tetO-cre (Stock No. 006224) transgenic mice were obtained from Jackson Laboratories. The generation of IKK2flox/flox mice were previously described (Maeda et al. 2003). Male SFTPC - rtTA+/tetO -cre+/IKK2flox/flox (3 for Figure 1B, 5 for Figures 1C and 1D, 6 for instillation of PBS, and 7 for instillation of DEP) and male SFTPC -rtTA+/tetO -cre/IKK2flox/flox littermates (3 for Figure 1B, 5 for Figures 1C and 1D, 7 for instillation of PBS, and 8 for instillation of DEP) were generated through crossing between SFTPC -rtTA+/+tetO -cre+/IKK2flox/flox and IKK2flox/flox. To induce the deletion of IKK2, after weaning, all the mice were fed with doxycycline in their diet (625mg/kg diet, Envigo TD.01306) for 8 wk. Due to the concern about the doxycycline feeding as a potential confounding factor, all the mice in this study were not fed with the doxycycline diet beyond the 8 wk of doxycycline feeding. To prevent confusion, in the present study, these doxycycline diet–fed male SFTPC -rtTA+/tetO -cre+/IKK2flox/flox mice and male SFTPC -rtTA+/tetO -cre/IKK2flox/flox littermates are referred to as knockout (KO) and wildtype (tgWT) mice, respectively. All the mice were housed in standard cages (Super Mouse 1800™ Ventilated Racks & Cages; Lab Products, Inc.) with full access to diet [either the doxycycline diet or Teklad global 14% protein (Envigo) diet, replaced weekly] and water (replaced weekly). The room was kept with a 12-h light/12-h dark cycle, temperatures of 65 to 75°F, and 40 to 60% humidity. The mice used in the present study were weaned when 21–24 days old.

Figure 1.

Figure 1A is a timeline. Figures 1B and 1C are immunoblots. Figure 1D is a bar graph with standard error of mean plotting percentage of IKK 2 protein (y-axis) in knockout and wild-type mice (x-axis). Figures 1E, 1F, 1G, 1H, 1I, 1J, 1K, and 1L are bar graphs with standard error of mean plotting BALF total cells (times 10 raised to 5), and BALF macrophages (times 10 raised to 5), BALF lymphocytes (times 10 raised to 5), BALF neutrophils (times 10 raised to 5), BALF eosinophils (times 10 raised to 5), BALF TNF alpha (picograms in milliliters), BALF IL-1b (picograms in milliliters), and BALF IL-6 (picograms in milliliters), respectively, (y-axis) in knockout and wild-type mice (x-axis) with an initiation of PBS and DEP instillation.

Pulmonary inflammation after diesel exhaust particulate matter (DEP) treatment in mice with lung epithelial cell-specific IKK2 deficiency. (A) The experimental scheme. a, genotyping; b, weaning and initiation of doxycycline (Dox) feeding; c, assessments of induced knockout by PCR and Western blotting; d, initiation of phosphate buffered saline (PBS)/DEP instillation; e, euthanizing and tissue-harvesting. (B) SFTPC -rtTA+/tetO -cre+/IKK2flox/flox (knockout, KO) and littermate control (SFTPC -rtTA+/tetO -cre/IKK2flox/flox, transgenic wild-type control, tgWT) were fed with a doxycycline diet (625mg/kg diet) for 8 wk. Subgroups of these mice were immediately euthanized, the indicated tissues were isolated and their deletion of IKK2 was assessed by PCR. A representative result is presented. Of all those tested mice (n=3/group), no evident outlier in any group was noted. K, KO; W, tgWT. The scale marker equals 1cm. (C and D) KO and littermate control (tgWT) were euthanized immediately after the 8-wk feeding with a doxycycline diet (625mg/kg diet), and their lungs were isolated and subjected to Western blotting analysis of IKK2 protein expression. A representative image (C) and quantitation of results as a percentage of the β-actin loading control (D) are presented. n=5/group. *p<0.05 vs. tgWT, Student’s t test. (E–L) KO and tgWT mice were subjected to a 4-month intratracheal instillation of either PBS or DEP. After euthanasia, BALF cells were differentiated (E–I). Levels of the indicated cytokines in those BALFs were assessed using the BD Cytometric Bead Array Kit (J–L). n=68/group. All data were expressed as means±SEMs. *p<0.05 vs. PBS, #p<0.05 vs. tgWT, two-way ANOVA followed by Bonferroni correction.

PCR Genotyping and Confirming the Deletion of IKK2 by the Doxycycline Feeding

All one-week-old newborns were subjected to tail biopsying, and the genomic DNA were extracted from those biopsies. The genotype of each mouse was determined by polymerase chain reaction (PCR), using the genotyping primers (Table 1). The PCR cycling parameters included: 4 min predenaturing at 94°C and 35 cycles of 30-s denaturing at 94°C, 30-s annealing at 60°C, and 60-s extension at 72°C. Before PBS/DEP instillation, all the mice were genotyped again as described above to verify their genotypes. To confirm the induced deletion of IKK2 by the doxycycline feeding, three tgWT and three KO were euthanized at the end of the doxycycline feeding, and the genomic DNA were extracted from the heart, liver, lung, and kidney. The WT, floxed, and Δ alleles were visualized by PCR using the deletion-confirming primers in Table 1 (obtained from Sigma-Aldrich). The above-mentioned PCR cycling parameters were applied.

Table 1.

Primer sequences for RT-PCR.

Forward primer Reverse primer
F4/80 TGTCTGACAATTGGGATCTGCCCT TTGCATGTTCAGGGCAAACGTCTC
GAPDH GCAGTGGCAAAGTGGAGATTGTTGC CCCGTTGATGACAAGCTTCCCATTC
IL-6 ATCCAGTTGCCTTCTTGGGACTGA TAAGCCTCCGACTTGTGAAGTGGT
TNFα TTCCGAATTCACTGGAGCCTCGAA TGCACCTCAGGGAAGAATCTGGAA
IL-1β ACGGACCCCAAAAGATGAAG TTCTCCACAGCCACAATGAG
MCP1 GCTCAGCCAGATGCAGTTAA TCTTGAGCTTGGTGACAAAAACT
IKK2 deletion-confirminga CGCCTAGGTAAGATGGCTGTCT Primer 1: GTGGTCATAGGTCTGGTTGTCC
Primer 2: TAGTCCAACTGGCAGCGAATAC
IKK2 genotypingb GTCATTTCCACAGCCCTGTGA CCTTGTCCTATAGAAGCACAAC
SFTPC-rtTA genotyping CGCTGTGGGGCATTTTACTTTAG CATGTCCAGATCGAAATCGTC
Cre genotyping ACCTGATGGACATGTTCAGGGATCG TCCGGTTATTCAACTTGCACCATGC
a

To confirm the deletion of IKK2 by the treatment with doxycycline, three primers were used and visualized all three alleles (WT, floxed, and recombinant [Δ]) in one PCR reaction.

b

To genotype the IKK2 gene, two primers were used and visualized the WT and floxed alleles only.

DEP Intratracheal Instillation

DEP was obtained from the National Institute of Standards and Technology (DEP, NIST® SRM® 2975). The chemical characterization of this DEP is available at www-s.nist.gov/srmors/certificates/2975.pdf. Its mean diameter of particles was 1.62±0.01μm. It was stored at 4°C and kept away from direct sunlight. To perform instillation, DEP was suspended in sterile phosphate-buffered saline (PBS). To minimize aggregation, DEP suspensions were sonicated (Clifton Ultrasonic Bath) for 20 min on the day of instillation and vortexed 30 s before each instillation. The instillation of DEP was initiated when mice were 12–14 wk old (1–2 wk after 8-wk feeding of the doxycycline diet). The KO and tgWT mice were housed mixedly, and each cage was randomly allocated to either PBS or DEP instillation. The instillation of DEP was performed as previously described (Kyjovska et al. 2015), with minor modifications. Briefly, to instill DEP, the animals were anesthetized with 3% isoflurane and placed supine with extended necks on an angled board. A Becton Dickinson 18 Gauge cannula was inserted via the mouth into the trachea. DEP suspension (20μg in 50μl, approximately equating to inhalational exposure to 160μg/m3 PM2.5) (Bide et al. 1997) or PBS (50μl) were intratracheally instilled via a sterile syringe and followed by an air bolus of 150μl. The intubation catheter was removed and the mouse transferred to a vertical hanging position with the head up for 5 min, ensuring that the delivered material was maintained in the lung and did not block the airways. Either DEP or PBS was instilled 3 times per week (Monday, Wednesday, and Friday) for 19 wk.

Intraperitoneal Glucose Tolerance Test (IPGTT) and Glucose-Induced Insulin Secretion Assessment

IPGTT was performed monthly (on the fourth Tuesday of each month) during the 4-month exposure to DEP. Before testing, mice were fasted for 16 h. The blood of mouse tail vein was collected through a small cut to determine the blood glucose level. On the day of the experiments, after determination of basal (0 min) blood glucose level using an automatic glucometer (Glucotrend 2, Roche Diagnostics), mice were intraperitoneally injected with glucose [2g/kg body weight (BW)]. Blood glucose levels at 15, 30, 60, and 120 min after injection of glucose were then measured using the automatic glucometer. When performing the last IPGTT (4-month exposure), sera at 0, 15, and 30 min were harvested, and their insulin levels were determined using Ultra Sensitive Mouse Insulin ELISA Kit (Crystal Chem, Inc.) per the manufacturer’s instructions. To harvest the sera, the blood of mouse tail vein was allowed to clot for 30 min at room temperature, and then centrifuged at 10,000  rpm and 4°C for 10 min. The supernatants were transferred to new tubes and kept at 80°C until the assessment of insulin.

Insulin Tolerance Test (ITT)

ITT was performed (one week after the last IPGTT) after the 4-month exposure to DEP. Before testing, mice were fasted for 4 h. The blood of mouse tail vein was collected through a small cut for determining the blood glucose level. After determination of basal blood glucose level using an automatic glucometer (Glucotrend 2), mice were intraperitoneally injected with insulin (0.5U/kg BW). Blood glucose levels at 15, 30, 60, and 120 min after injection of insulin were then measured as described above.

Animal Euthanasia, Bronchoalveolar Lavage, and Tissue Harvesting

Animals were fasted overnight and injected intraperitoneally with insulin (10U/kg BW). This high dose of insulin is generally used for assessing insulin-induced Akt phosphorylation in the insulin-responsive tissues (Kim et al. 1999, 2000). After 20 min, animals were euthanized by overdose of isoflurane. Blood was collected from the heart and centrifuged at 3,000  rpm for 5 min. Plasma and all other tissues (liver, epididymal adipose tissue, and skeletal muscle) were immediately stored first in dry ice and then at 80°C until further processing.

To perform bronchoalveolar lavage, the mouse lung, trachea, and heart were removed and put on ice. Through a tracheal cannula, 1mL sterile PBS with 0.1  mM ethylenediaminetetraacetic acid (EDTA) was instilled and withdrawn to recover bronchoalveolar lavage fluid (BALF). This lavage was performed three times in total. The total number of cells in the collected BALF (around 3mL) was estimated using a hemocytometer. After 5 min centrifuge at 1,500  rpm, the BALF were stored in dry ice and then 80°C until further processing, and the precipitated cells were used for BALF cell differentiation. Cytospin slides were prepared using Shandon Cytospin 3™ (Thermo Scientific) and stained with Diff-Quik solution (EMS) per the manufacturers’ protocols. Differential cell counts for neutrophils, eosinophils, macrophages, monocytes, and lymphocytes were assessed by a pathologist who was blinded to the grouping.

Plasma and BALF cytokine analysis.

Plasma and BALF cytokine levels were assessed using the flex set of BD™ Cytometric Bead Array Kit (BD Biosciences, Catalog No. 560232, 558301, and 558299) per the manufacturer’s instructions. We assessed these three cytokines because they are the most frequently used markers for evaluating the inflammatory level. Briefly, 25μL  per mouse plasma were incubated with the beads, and the signaling was assessed by BD Canto II flow cytometry per the manual of the BD™ Cytometric Bead Array Kit. The TNFα, interleukin (IL)-1β (IL-1β, and IL-6 levels of each sample were then determined using the standard curves. To facilitate statistical analysis, the cytokine level of all samples measuring below the detection limit (provided by the manufacturer) was imputed to be the detection limit itself.

Western Blotting

Lysates of liver, epididymal adipose tissue, and skeletal muscle were prepared using radioimmunoprecipitation assay (RIPA) buffer (MilliporeSigma) supplemented with protease and phosphatase inhibitors (Sigma, Catalog No. P2714 and P5726). Briefly, for each sample, a 5mg piece of tissue was cut on ice. Next, 300μL of ice-cold lysis buffer was added rapidly to the tube. The tissues were homogenized with Bead Ruptor Elite Bead Mill Homogenizer (OMNI International) for 5 min, then maintained with constant agitation for 30 min at 4°C. These lysates were then centrifuged for 20 min at 12,000  rpm at 4°C. The supernatants were transferred to fresh tubes on ice. The protein level for each sample was determined using Pierce™ BCA Protein Assay Kit (ThermoFisher). For each sample, 40μg protein was then separated by 10% SDS-polyacrylamide gel electrophoresis [freshly prepared using the PROTEAN® II XL Cell system (Bio-Rad)] and electroblotted onto polyvinylidene fluoride membranes (Immun-Blot PVDF Membrane; Bio-Rad, Catalog No. 1620177). The membrane was blocked using Amersham ECL Prime Blocking Reagent (Catalog No. RPN418) for 1 h at room temperature and then incubated with each of the following primary antibodies overnight at 4°C: 1:500 diluted Phospho-IRS-1 (Ser307) Antibody #2381 (Cell Signaling Technology), 1:500 diluted Phospho-IRS-1 (Ser1101) Antibody #2385 (Cell Signaling Technology), 1:1,000 diluted IRS-1 Antibody #3194 (Cell Signaling Technology), 1:500 diluted Phospho-SAPK/JNK (Thr183/Tyr185) (G9) Mouse mAb #9255 (Cell Signaling Technology), 1:1,000 diluted SAPK/JNK Antibody #9252 (Cell Signaling Technology), 1:500 diluted Phospho -IKKα/β (Ser176/180) Antibody II #2694 (Cell Signaling Technology), 1:1,000 diluted IKKβ (D30C6) Rabbit mAb #8943 (Cell Signaling Technology), and 1:10,000 diluted Monoclonal Anti -β-Actin Antibody A5316 (Sigma-Aldrich). After washing with TBST buffer 3 times (10 min per time), the membrane was incubated with 1:5,000 diluted secondary antibodies conjugated with horseradish peroxidase (Amersham, Catalog Nos. NA931-1ML and NA934-1ML) for 1 h at room temperature. After washing with TBST buffer 3 times (10 min per time), the target proteins were visualized with the chemiluminescence reagent (Amersham, Catalog No. RPN2232). The images were acquired using ImageQuant LAS 4000 (Amersham) per the manufacturer’s instructions. Densities of target protein bands were determined with Quantity One® 1-D 4.4.1 Software (Bio-Rad).

Quantitative Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)

Total RNA was isolated from the livers with Invitrogen™ TRIzol™ reagent (Invitrogen) per the manufacturer’s instructions. The RNA concentrations were determined using NanoDrop™ 2000/2000c Spectrophotometers (Thermo Fisher). Any sample with an OD260/OD280 ratio below 1.2 was not used. In addition, 2μg total RNA was reverse-transcribed using random hexamers and the ThermoScript™ RT-PCR System (Invitrogen). Quantitative real-time polymerase chain reaction (RT-PCR) was performed with a LightCycler® 480 Instrument II (Roche) and SYBER Green PCR Master Mix (Applied Biosystems). The sequences of primers are presented in Table 1 and obtained from Sigma-Aldrich. The relative expression level was obtained as described previously (Ying et al. 2009). Briefly, Ct values were acquainted using the built-in software of LightCycler® 480 Instrument II, and differences of Ct value between target gene and GAPDH (ΔCt) and then 2ΔCt were calculated.

Statistics

All data are expressed as means±Standard Error of the Means  (SEMs) unless noted otherwise. Statistical tests were performed using one-way or two-way analysis of variance (ANOVA) followed by Bonferroni correction or unpaired t-test using GraphPad Prism (version 5; GraphPad Software). The significance level was set at p<0.05.

Results

Pulmonary Inflammation after DEP Treatment in Mice with Lung Epithelial Cell-Specific IKK2 Deficiency

To ascertain the role of pulmonary inflammation in PM2.5 exposure–induced pathogenesis, we generated SFTPC -rtTA+/tetO -cre+/IKK2flox/flox and littermate control (SFTPC -rtTA+/tetO -cre/IKK2flox/flox) mice. PCR analysis showed that the 8-wk feeding with doxycycline diet resulted in marked IKK2 gene recombination in the lung, but not in the heart, liver, or kidney (Figure 1B). This recombination of IKK2 gene in the lung was concurrent with significantly lower expression of pulmonary IKK2 protein (Figures 1C and D).

To determine the effect of lung epithelial cell–specific IKK2 deficiency on PM2.5-exposure–induced pulmonary inflammation, doxycycline diet–fed male SFTPC -rtTA+/tetO -cre+/IKK2flox/flox (KO) and SFTPC -rtTA+/tetO -cre/IKK2flox/flox littermates (tgWT) were subjected to 4-month intratracheal instillation of DEP or PBS. BALF cell counting revealed that DEP-instilled tgWT mice vs. PBS-instilled tgWT mice, but not DEP-instilled KO mice vs. PBS-instilled KO mice, had greater BALF total cell numbers (Figure 1E), a frequently used indicator of pulmonary inflammation. BALF cell differentiation showed that DEP-instilled tgWT mice vs. PBS-instilled tgWT mice, but not DEP-instilled KO mice vs. PBS-instilled KO mice, had higher macrophages and lymphocytes in BALF (Figures 1F–1G). BALF proinflammatory cytokine levels are also frequently used as indicators of pulmonary inflammation. BALF proinflammatory cytokine assessments showed that DEP-instilled tgWT mice had higher levels of BALF tumor necrosis factor α (TNFα), IL-1β, and IL-6 than those of PBS-instilled tgWT mice (Figures 1J–1L). The differences in the BALF proinflammatory cytokine levels between DEP-instilled and PBS-instilled KO mice were smaller than those between DEP-instilled and PBS-instilled tgWT mice (Figures 1J–1L).

Levels of Circulating Proinflammatory Cytokines after DEP Treatment in Mice with Lung Epithelial Cell–Specific IKK2 Deficiency

We also assessed the levels of circulating proinflammatory cytokines. The assessments of circulating proinflammatory cytokines showed that DEP-instilled tgWT mice had higher levels of circulating TNFα and IL-6 than levels in PBS-instilled tgWT mice, whereas DEP-instilled KO mice had almost comparable levels of circulating TNFα and IL-6 in comparison with levels in PBS-instilled KO mice (Figure 2).

Figure 2.

Figures 2A, 2B, and 2C are bar graphs plotting plasma TNF sub alpha open parenthesis picogram per milliliter (ranging between 0 and 150), plasma 1L-1B picogram per milliliter (ranging between 0 and 600), and plasma 1L-6 picogram per milliliter (ranging between 0 and 300) (y-axis), respectively, across tgWT and KO showing levels of circulating pro-inflammatory cytokines after phosphate buffered saline or diesel exhaust particulate matter treatment in mice with lung epithelial cell-specific IKK2 deficiency represented as standard error of mean.

Levels of circulating pro-inflammatory cytokines after diesel exhaust particulate matter (DEP) treatment in mice with lung epithelial cell-specific IKK2 deficiency. Plasma were harvested after phosphate buffered saline (PBS) or DEP-treated mice were euthanized and levels of TNFα (A), interleukin-1β (IL-1β) (B), and IL-6 (C) were determined using the BD Cytometric Bead Array Kit. n=68/group. All data were expressed as means±SEMs. *p<0.05 vs. PBS, #p<0.05 vs. tgWT, two-way ANOVA followed by Bonferroni correction. KO, SFTPC -rtTA+/tetO -cre+/IKK2flox/flox mice; tgWT, SFTPC -rtTA+/tetO -cre/IKK2flox/flox littermates.

Glucose Metabolism in DEP-Exposed Mice with Lung Epithelial Cell–Specific IKK2 Deficiency

To ascertain the time dependency of glucose metabolic effect of DEP exposure, IPGTT was performed monthly on these DEP- or vehicle-treated mice. The results of IPGTT revealed that after 3-month and 4-month exposures, DEP-exposed tgWT mice had significantly lower glucose tolerance in comparison with that of PBS-exposed tgWT mice, whereas DEP-exposed KO mice had almost comparable glucose tolerance in comparison with that of PBS-exposed KO mice (Figures 3A–3H). Furthermore, ITT showed that, after the 4-month exposure, DEP-exposed tgWT mice had significantly higher glucose-induced insulin secretion in comparison with glucose-induced insulin secretion in PBS-exposed tgWT mice (Figures 3I and 3J) and lower systemic insulin sensitivity (Figures 3K and 3L). Coincident with the above-mentioned inflammation analyses, DEP-exposed KO mice had markedly smaller differences in glucose-induced insulin secretion in comparison with glucose-induced insulin secretion of PBS-exposed KO mice (Figures 3I and 3J) and almost comparable sensitivity to insulin (Figures 3K and 3L).

Figure 3.

Figures 3A, 3C, 3E, 3G, 3I, and 3K are bar graphs plotting glucose levels in mice (ranging between 0 and 400 milligrams per milliliter) for one month exposure to PBS tgWT, PBS KO, DEP tgWT, and DEP KO; glucose levels in mice (ranging between 0 and 500 milligrams per milliliter) for two-month exposure to PBS tgWT, PBS KO, DEP tgWT, and DEP KO; glucose levels in mice (ranging between 0 and 400 milligrams per milliliter) for three-month exposure to PBS tgWT, PBS KO, DEP tgWT, and DEP KO; glucose levels in mice (ranging between 0 and 400 milligrams per milliliter) for four-month exposure to PBS tgWT, PBS KO, DEP tgWT, and DEP KO; insulin levels in mice (ranging between 0.05 and 0.15 nanograms per milliliter) for four-month exposure to PBS tgWT, PBS KO, DEP tgWT, and DEP KO; and glucose levels in mice (ranging between 0 and 400 milligrams per milliliter) for four-month exposure to PBS tgWT, PBS KO, DEP tgWT, and DEP KO across time after insulin (all ranging between 0 and 100 minutes), respectively (x-axis). Figures 3B, 3D, 3F, 3H, 3J, and 3L are bar graphs with standard error of mean all plotting area under the curve (AU) (y-axis) in knockout and wild-type mice (x-axis).

Glucose metabolism in diesel exhaust particulate matter (DEP)-exposed mice with lung epithelial cell-specific IKK2 deficiency. (A–H) Intraperitoneal glucose tolerance test (IPGTT) was performed monthly when KO and tgWT mice were being subjected to phosphate buffered saline (PBS) or DEP instillation. Both the response curves (A, C, E, and G) and summarization of area under the curve (AUC, B, D, F, and H) are presented. (I and J) When performing the last IPGTT (4-month instillation), sera were collected at the indicated timepoints, and their insulin levels were determined. The response curves (I) and summarization of AUC (J) are presented. (K and L) Insulin tolerance test (ITT) was performed 1 wk after the last IPGTT. The response curves (K) and summarization of AUC (L) are presented. n=68/group. All data were expressed as means±SEMs. *p<0.05 vs. PBS, # p<0.05 vs. tgWT, two-way ANOVA followed by Bonferroni correction. KO, SFTPC -rtTA+/tetO -cre+/IKK2flox/flox mice; tgWT, SFTPC -rtTA+/tetO -cre/IKK2flox/flox littermates.

Insulin Tolerance in DEP-Exposed Mice with Lung Epithelial Cell–Specific IKK2 Deficiency

To further document the mechanism whereby DEP exposure results in systemic insulin resistance, we assessed Akt phosphorylation level, a reflection of local insulin signaling (Guo 2014), in insulin-sensitive tissues, including the liver, adipose tissue, and skeletal muscle. DEP-exposed tgWT mice had significantly lower insulin-induced Akt phosphorylation in the liver in comparison with that of PBS-exposed tgWT mice (Figures 4A and 4B), but DEP-exposed tgWT mice and PBS-exposed tgWT mice had comparable insulin-induced Akt phosphorylation in the adipose tissue and skeletal muscle (Figures 4A and 4B), suggesting that DEP exposure induces glucose intolerance primarily through induction of hepatic insulin resistance. Consistent with the investigation of systemic insulin resistance (Figure 3), DEP-exposed KO mice and PBS-exposed KO mice had comparable Akt phosphorylation in the liver, adipose tissue, and skeleton muscle (Figures 4A and 4B).

Figure 4.

Figure 4A represents a blot, and Figure 4B is a bar graph plotting percentage of Akt phosphorylation (y-axis) in liver, skeleton muscle, and adipose tissue (x-axis).

Insulin sensitivity in diesel exhaust particulate matter (DEP)-exposed mice with lung epithelial cell-specific IKK2 deficiency. Before euthanasia, those phosphate buffered saline (PBS) or DEP-treated mice were injected intraperitoneally with insulin (10U/kg body weight), and the insulin-responsive tissues, including liver, epididymal adipose tissue (AT), and skeleton muscle (SM), were isolated and subjected to western blot analysis of Akt phosphorylation. Representative images (A) and quantitation data (B) are presented. To quantitate the phosphorylation, the phosphor-Akt level was normalized to total Akt and graphed in relation to PBS/tgWT. n=68/group. All data were expressed as means±SEMs. *p<0.05 vs. PBS, two-way ANOVA followed by Bonferroni correction. KO, SFTPC -rtTA+/tetO -cre+/IKK2flox/flox mice; tgWT, SFTPC -rtTA+/tetO -cre/IKK2flox/flox littermates.

Hepatic IRS-1 Phosphorylation and Inflammatory Response in DEP-Exposed Mice with Lung-Specific IKK2 Deficiency

In line with the assessment of hepatic insulin signaling (Figure 4), DEP-instilled tgWT mice had higher hepatic IRS-1 Ser307 and Ser1101 phosphorylation levels in comparison with levels in PBS-instilled tgWT mice, whereas DEP-instilled KO mice and PBS-instilled KO mice had comparable hepatic IRS-1 serine phosphorylation (Figures 5A and 5B). To determine whether a local inflammatory response mediates DEP exposure inducing hepatic insulin resistance, we assessed hepatic activities of IKK2 and c-Jun NH2-terminal kinase (JNK), two central regulators of the inflammatory response. Our results revealed that DEP-instilled tgWT mice had significantly higher phosphorylation levels of IKK2 and JNK in comparison with those levels in PBS-instilled tgWT mice (Figures 5C and 5D), suggesting that both hepatic IKK2 and JNK signaling pathways are activated by exposure to DEP. Furthermore, we found that DEP-instilled KO mice and PBS-instilled KO mice had comparable hepatic IKK2 and JNK phosphorylation levels. Consistent with the analyses of IKK2 and JNK activity, quantitative PCR analyses revealed that DEP-instilled tgWT mice had significantly higher hepatic mRNA expression levels of TNFα, IL-1β, IL-6, monocyte chemoattractant protein 1 (MCP-1), and the mouse macrophage marker F4/80 than expression levels found in PBS-instilled tgWT, whereas DEP-instilled KO mice and PBS-instilled KO had comparable IL-1β and IL-6 mRNA expression (Figure 6); additionally, the differences in the expression levels of TNFα, MCP-1, and F4/80 were also markedly lower than those between DEP-instilled tgWT mice and PBS-instilled tgWT mice (Figure 6).

Figure 5.

Figures 5A and 5C represent western blots, and Figures 5B and 5D are bar graphs plotting percentage of IRS 1 phosphorylation and percentage of phosphorylation (y-axis), respectively, to determine p ser307 and p ser1101 (4B) and p IKK2, p JNK1, and p JNK 2 (4D) levels (x-axis).

Hepatic IRS-1 phosphorylation and inflammatory response in diesel exhaust particulate matter (DEP)-exposed mice with lung epithelial cell-specific IKK2 deficiency. Western blotting analysis was used to determine hepatic IRS-1 Ser307 and Ser1101 phosphorylation levels (A and B) and hepatic IKK2 and JNK phosphorylation levels (C and D). The representative images (A and C) and quantitation data (B and D) are presented. To quantitate the phosphorylation, the phosphor-IRS-1, phosphor-IKK2, and phosphor-JNK levels was normalized to total IRS-1, IKK2, and JNK, respectively, and graphed in relation to phosphate buffered saline (PBS)/tgWT. n=68/group. All data were expressed as means±SEMs. *p<0.05 vs. PBS, # p<0.05 vs. tgWT, two-way ANOVA followed by Bonferroni correction.

Figure 6.

Figures 6A, 6B, 6C, 6D, and 6E are bar graphs with standard error of mean plotting liver TNF mRNA (AU), liver IL 6 mRNA (AU), liver IL 1 beta mRNA (AU), liver MCP 1 mRNA (AU), and liver F 4 or 80 mRNA (AU), respectively, (y-axis) in knockout and wild-type mice (x-axis).

Hepatic proinflammatory cytokine expression levels in diesel exhaust particulate matter (DEP)-exposed mice with lung epithelial cell-specific IKK2 deficiency. Hepatic expression of the indicated inflammatory biomarkers was determined by real-time quantitative PCR (RT-PCR). n=68/group. All data were expressed as means±SEMs. *p<0.05 vs. PBS, # p<0.05 vs. tgWT, two-way ANOVA followed by Bonferroni correction. KO, SFTPC -rtTA+/tetO -cre+/IKK2flox/flox mice; tgWT, SFTPC -rtTA+/tetO -cre/IKK2flox/flox littermates. PBS, phosphate buffered saline.

Discussion

Compelling evidence has demonstrated that exposure to PM2.5 correlates with various abnormalities in glucose homeostasis and increased risk for type 2 diabetes mellitus (Bowe et al. 2018; Lucht et al. 2019, 2018). Pulmonary inflammation is believed to be central to the development of adverse health effects due to exposure to PM2.5 (Rajagopalan et al. 2018), such as abnormal glucose homeostasis. This role of pulmonary inflammation, however, had not yet been systemically investigated. To ascertain the role of pulmonary inflammation in the pathogenesis due to exposure to PM2.5, the present study used SPFTC-rtTA and tetO-cre alleles to knock out IKK2 specifically in lung epithelial cells, and assessed how this genetic manipulation affected DEP exposure–induced pulmonary inflammation and abnormalities in glucose homeostasis. The major findings in this study suggest that: a) lung epithelial cell-specific IKK2 deficiency was sufficient to reduce DEP exposure-induced pulmonary inflammation; b) lung epithelial cell–specific IKK2 deficiency nearly abolished DEP exposure–induced systemic insulin resistance and subsequent glucose intolerance; c) DEP exposure caused glucose intolerance primarily through induction of hepatic insulin resistance, paralleled by higher hepatic IRS-1 serine phosphorylation and expression of inflammatory markers; and d) lung epithelial cell–specific IKK2 deficiency ameliorated DEP exposure–induced hepatic inflammation and insulin resistance. Collectively, our data, which was generated in a transgenic mouse model, indicate that pulmonary inflammation is essential for the pathogenesis of abnormal glucose homeostasis due to exposure to DEP.

The lung is the primary target organ of inhaled PM2.5, and pulmonary inflammation has long been believed to be crucial in the pathogenesis due to exposure to PM2.5 (Rajagopalan et al. 2018). However, except for the time course studies (Brook et al. 2010), this notion has not been systemically investigated, primarily due to a lack of appropriate animal models. We previously induced pulmonary inflammation through lung epithelial cell-specific overexpression of constitutively active IKK2 using SPFTC-rtTA and tetO-cre alleles and demonstrated that pulmonary inflammation is sufficient to cause systemic insulin resistance (Chen et al. 2017). In the present study, this genetic manipulation strategy was exploited to delete endogenous IKK2 specifically in the lung epithelial cells. The lung epithelial cell–specific recombination of the IKK2 gene (Figures 1B–1D) and the lower number of DEP exposure–associated BALF immune cells and proinflammatory cytokines in KO vs. tgWT mice strongly support the suitability of these mice as a model system for studying the role of pulmonary inflammation in pathogenesis due to exposure to PM2.5. The specified role of pulmonary IKK2 in the development of PM2.5 exposure–induced pulmonary inflammation is consistent with the numerous previous studies that have shown that IKK2/NF -κB signaling pathway is central to the inflammatory response (Pahl 1999) and several other studies have implicated it in PM2.5 exposure–induced pulmonary inflammation (Dagher et al. 2007; Kafoury and Madden 2005; Maciejczyk and Chen 2005; Mantecca et al. 2010; Nam et al. 2004). To the best of our knowledge, the present study is the first one to show the essential role of IKK2 in induction of pulmonary inflammation by exposure to DEP in living animals, thus providing a valuable animal model for the study of the pathogenic role of pulmonary inflammation in a complex process, such as the one due to exposure to DEP.

Both epidemiological (Alderete et al. 2017; Yang et al. 2018) and toxicological (Liu et al. 2017; Wang et al. 2018; Xu et al. 2017) studies have shown that exposure to PM2.5 causes insulin resistance and glucose intolerance. Consistent with these studies, the present study reveals that long-term (e.g., 3- to 4-month) exposure to DEP resulted in marked insulin resistance and glucose intolerance in tgWT mice. In contrast, short-term (e.g., 2- to 3-month) exposure to DEP did not cause any significant differences in glucose homeostasis (Figures 3A–3D). This time dependency is consistent with recent epidemiological studies (Yitshak Sade et al. 2016). Notably, we previously showed that exposure to concentrated ambient PM2.5 rapidly induced abnormalities in glucose homeostasis in diabetic KKAy mice (Liu et al. 2014). Taken together, these studies suggest that there may be populations who are potentially susceptible to PM2.5 exposure, in particular individuals with increased risk for diabetes. Glucose tolerance is collectively determined by circulating insulin level and systemic sensitivity to insulin. The present study demonstrates that exposure to DEP resulted in lower systemic insulin sensitivity but greater glucose-induced insulin secretion in tgWT mice than are found in those exposed to PBS, suggesting that DEP exposure causes glucose intolerance primarily through induction of systemic insulin resistance. Furthermore, we show that DEP exposure was associated with lower insulin signaling in the liver but not in the adipose tissue or skeletal muscle. To our knowledge, the present study is the first one to assess the insulin sensitivity effect of DEP exposure on all three insulin-dependent tissues simultaneously. The liver as the primary target organ for DEP exposure inducing systemic insulin resistance is consistent with our previous study (Liu et al. 2017), and lower hepatic insulin sensitivity after exposure to DEP is consistent with several previous studies by others (Jian et al. 2018; Xu et al. 2017; Zheng et al. 2013). However, it is noteworthy that we recently showed that, in a mouse model, exposure to concentrated ambient PM2.5 promoted the inflammation of adipose tissues and decreased their insulin sensitivity (Hu et al. 2017). Therefore, further study is needed to verify the effect of PM2.5 exposure on the insulin sensitivity of adipose tissues.

Another important finding in the present study is the demonstration that PM2.5 exposure–induced hepatic insulin resistance was accompanied by hepatic inflammation, strongly supporting the hypothesis that the latter may play a crucial role in PM2.5 exposure inducing hepatic insulin resistance. This finding was further supported by the DEP exposure–associated IRS-1 serine phosphorylation. These data are consistent with previous studies showing that exposure to concentrated ambient PM2.5 (CAP) resulted in hepatic inflammation and IRS-1 phosphorylation at Ser1101 (Zheng et al. 2013). More important, the present study extended these findings, revealing markedly higher levels of IRS-1 Ser307 phosphorylation upon exposure to DEP in comparison with levels in mice treated with PBS. IRS-1 phosphorylation at either Ser1101 or Ser307 was shown to inhibit signaling transduction via the insulin receptor (IR) and thus to lead to insulin resistance (Copps and White 2012). Although IRS-1 Ser1101 was shown to be phosphorylated by protein kinase C-θ (PKCθ) and S6 kinase beta-1 (S6K1) in a setting of overnutrition (Tremblay et al. 2007), IRS-1 Ser307 was shown to be phosphorylated by JNK and IKK2 in response to TNFα treatment (Copps and White 2012). Therefore, phosphorylation of IRS-1 Ser307 is generally believed to be one of the molecular mechanisms for inflammation-induced insulin resistance. In line with the increased IRS-1 Ser307 phosphorylation, the present study demonstrates that DEP exposure was associated with significantly higher phosphorylation of JNK and IKK2, two central regulators of inflammatory responses. Collectively, these data suggest that DEP exposure–induced hepatic insulin resistance may result from a local inflammatory response.

As one of its primary goals, the present study has also provided deep insight into the pathogenesis of hepatic inflammation and consequent insulin resistance due to exposure to PM2.5. The present data strongly suggest that egress from the pulmonary inflammatory response is central to the development of hepatic inflammation and insulin resistance due to exposure to PM2.5. Evidence for this role of pulmonary inflammation include our finding that exposure to DEP was associated with significantly higher circulating proinflammatory cytokines, such as TNFα, and IL-6 in tgWT mice. These differences in circulating proinflammatory cytokines are consistent with findings in numerous previous studies (Bai and Sun 2016; Feng et al. 2016). Furthermore, we show that lung epithelial cell–specific IKK2 deficiency seemed to nearly abolish the higher circulating levels of proinflammatory cytokines associated with DEP exposure, such that cytokine levels in DEP-treated mice were similar to those in PBS-treated mice (Figure 2).

Although additional work is needed to pinpoint its role, these findings suggest that in a transgenic mouse model, pulmonary inflammation is essential for the PM2.5 exposure–induced increases in circulating proinflammatory cytokines. Given the well-established role of proinflammatory cytokines in various liver diseases, including inflammation and the demonstration of marked hepatic inflammation, it can be postulated that PM2.5 exposure–induced hepatic inflammation may be subsequent to increased circulating proinflammatory cytokines, which in turn results from pulmonary inflammation. In contrast, the marked decrease in KO mice of DEP exposure–induced hepatic inflammation and insulin resistance almost rules out the possibility that extrapulmonary translocation of DEP components plays an important role in this pathogenesis, because no major metabolic change (reflected by BW assessment) was noted in KO mice.

Although the present study furthers our understanding of the mechanism of action of DEP, caution should be taken when extrapolating these results to ambient PM exposure due to the limitations of the present study. First, it should be noted that intratracheal instillation, although routinely used in toxicological investigations due to its multiple advantages, is different from actual human inhalation, particularly in the deposition pattern. This difference may influence not only the distribution of particles in the lung but also the exposure–response relationship (Osier et al. 1997; Silva et al. 2014). In addition, consistent with previous studies (Henderson et al. 1995; Robertson et al. 2012), the present results suggest a proinflammatory action of chronic instillation of PBS in the lung (Figure 1). Because all the experimental groups in this study were treated with PBS, this treatment is not expected to be a confounding factor in the study. However, further study is required to exclude the potential effect of this nonspecific inflammation on the sensitivity of mice to PM (Henderson et al. 1995). Moreover, although DEP may be the major source of ambient PM2.5 in some areas, their chemical compositions are generally different. Therefore, further study is warranted to determine the role of pulmonary IKK2 in the development of glucose intolerance due to exposure to ambient PM2.5. Another factor to note is that the KO mice had marked remaining IKK2 expression in the lung (Figures 1B–1D), which may be due to the presence of nonepithelial cells in the lung or the inefficiency of the cre system. In human lungs, only about one-third of total lung cells were epithelial cells (Crapo et al. 1982). Therefore, the presence of nonepithelial cells in the lungs was more likely the primary reason for the remaining IKK2 expression in the KO mice. Furthermore, the induced lung epithelial cell–specific knockout of IKK2 (Figures 1B-1D) was verified at the end of the 8-wk doxycycline feeding only. Because the mice were not fed the doxycycline diet beyond those 8 wk, we cannot rule out the possibility that the induced knockout of IKK2 was partly restored during the 4-month PBS/DEP instillation due to the turnover of lung epithelial cells.

Conclusion

Our findings suggest that in a transgenic mouse model, an IKK2-dependent pulmonary inflammatory response was essential for the development of abnormal glucose homeostasis due to exposure to DEP.

Acknowledgments

This work was supported by the National Institutes of Health (R01ES024516 to Z.Y.), the American Heart Association (13SDG17070131 to Z.Y.), the National Natural Science Foundation of China (81500216 to C.M.), the 2016 Henan Province Health System Abroad Training Project (2016011 to S.C.), and 2017 Henan Medical Science and Technology Research Project (201702050 to S.C.).

Footnotes

The authors declare they have no actual or potential competing financial interests.

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