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Chest. May 2009; 135(5): 1197–1208.
Published online Feb 2, 2009. doi:  10.1378/chest.08-1024
PMCID: PMC2679098
NIHMSID: NIHMS93638

Cigarette Smoking Induces Overexpression of a Fat-Depleting Gene AZGP1 in the Human

Abstract

Background:

Smokers weigh less and have less body fat than nonsmokers. Increased body fat and weight gain are observed following smoking cessation. To assess a possible molecular mechanism underlying the inverse association between smoking and body weight, we hypothesized that smoking may induce the expression of a fat-depleting gene in the airway epithelium, the cell population that takes the brunt of the stress of cigarette smoke.

Methods:

To assess whether smoking up-regulates expression in the airway epithelium of genes associated with weight loss, microarray analysis was used to evaluate genes associated with fat depletion in large airway epithelial samples obtained by fiberoptic bronchoscopy from healthy smokers and healthy nonsmokers. As a candidate gene we further evaluated the expression of α2-zinc-glycoprotein 1 (AZGP1), a soluble protein that stimulates lipolysis, induces a reduction in body fat in mice, is associated with the cachexia related to cancer, and is known to be expressed in secretory cells of lung epithelium. AZGP1 protein expression was assessed by Western analysis and localization in the large airway epithelium by immunohistochemistry.

Results:

Both microarray and TaqMan analysis demonstrated that AZGP1 messenger RNA levels were higher in the large airway epithelium of healthy smokers compared to healthy nonsmokers (p < 0.05, all comparisons). Western analysis of airway biopsy specimens from smokers compared with those from nonsmokers demonstrated up-regulation of AZGP1 at the protein level, and immunohistochemical analysis demonstrated up-regulation of AZGP1 in secretory as well as neuroendocrine cells of smokers.

Conclusions:

In the context that AZGP1 is involved in lipolysis and fat loss, its overexpression in the airway epithelium of chronic smokers may represent one mechanism for the weight difference in smokers vs nonsmokers.

Keywords: airway epithelium, AZGP1, gene expression, smoking, weight loss

Cigarette smoking is associated with lower body mass index, and cessation of smoking is associated with weight gain.1,2 Cross-sectional studies show that smokers weigh less than age-matched nonsmokers,1,37 and longitudinal data show that most smokers gain weight after smoking cessation.2,816 The mechanisms underlying the lower weight of smokers are undoubtedly complex, and a variety of studies have linked it to decreased food intake, increased metabolic rate, increased physical activity, and the metabolic effects of nicotine.1,1727

In the present study we propose an additional mechanism that may contribute to the smoking-associated weight loss, based on the hypothesis that smoking may induce the up-regulation in the respiratory epithelium of genes that code for proteins associated with weight loss.28,29 To evaluate this concept, we assessed our microarray data of airway epithelial gene expression in healthy smokers and healthy nonsmokers for genes that have been reported to be associated with mediating weight loss.28,29 Strikingly, the data showed that smoking markedly up-regulated the airway epithelial expression of α2-zinc-glycoprotein 1 (AZGP1), a gene associated with the up-regulation of uncoupling proteins that have been implicated in regulating energy balance and body weight.2832

AZGP1, a 38- to 41-kd peptide normally found in body fluids, functions as a lipid mobilizing factor.29,3336 AZGP1 is found in the urine of cancer patients with cachexia,36 is overexpressed in carcinomas associated with fat loss,34,37 and mice treated with AZGP1 have a significant decrease in body fat, without a change in food or water intake.35 AZGP1 is known to be normally expressed in the secretory epithelia of the liver, breast, GI tract, sweat glands, and of interest to the present study, the lung.38,39 The name AZGP1 is based on the knowledge that it precipitates with zinc salts and has electrophoretic mobility similar to that of α2-globulins.33 The mechanisms of AZGP1 are not fully understood, but it is believed to regulate lipid degradation through activation of guanosine triphosphate-dependent adenylate cyclase activity mediated through the β3-adrenoreceptor.35,40

Based on the knowledge that increased body fat and weight gain are observed following smoking cessation, lower body mass index is associated with cigarette smoking, adipose tissue metabolism appears to be altered in smokers, and our preliminary observations, we further investigated whether cigarette smokers up-regulated the expression of AZGP1 in the human airway epithelium. The analysis included assessment of AZGP1 gene expression of large airway epithelium obtained by fiberoptic bronchoscopy and brushings from healthy nonsmokers and healthy smokers using microarrays with TaqMan polymerase chain reaction (PCR) confirmation. The data demonstrate that the expression of AZGP1 is significantly up-regulated in healthy smokers. Western blot analysis of large airway biopsy specimens confirmed the up-regulation of AZGP1 in smokers compared to nonsmokers at the protein level. Interestingly, anti-AZGP1 immunofluorescence assessment of large airway bronchial biopsy specimens and brushed large airway epithelium specimens showed that, in addition to being up-regulated in secretory cells of smokers, AZGP1 is expressed in neuroendocrine cells of smokers. In the context that AZGP1 is linked to weight loss, the up-regulation of AZGP1 in the airway epithelium of healthy smokers may represent a pathway contributing to the weight loss associated with smoking.

Materials and Methods

Study Population

Healthy nonsmokers and healthy current cigarette smokers were evaluated at the Weill Cornell NIH General Clinical Research Center and Department of Genetic Medicine Clinical Research Facility under protocols approved by the Weill Cornell Medical College Institutional Review Board. Written informed consent was obtained from each individual before enrollment in the study. Nonsmokers and smokers were determined to be phenotypically healthy on the basis of clinical history, physical examination, routine blood screening tests, urinalysis, chest radiograph, ECG, and pulmonary function testing. No individual in either study group had any evidence of a malignancy. Current smoking status was confirmed by history, venous carboxyhemoglobin levels, and urinalysis for nicotine levels and its derivative cotinine. Individuals who met the inclusion criteria underwent fiberoptic bronchoscopy with brushing and/or endobronchial biopsy.

Collection of Airway Epithelial Cells

Epithelial cells from the large airways were collected using flexible bronchoscopy. Smokers were asked not to smoke the evening prior to the procedure. After achieving mild sedation and anesthesia of vocal cords, a flexible bronchoscope (EB-1530T3; Pentax; Tokyo, Japan) was advanced to the desired bronchus. Large airway epithelial samples were collected by gentle brushing of the third- to fourth-order bronchi. The epithelial cells were subsequently collected in 5 mL of 4°C LHC8 medium (GIBCO; Grand Island, NY). An aliquot of this was used for cytology and differential cell count, and the remainder was processed immediately for RNA extraction. Total cell counts were obtained using a hemocytometer while differential cell counts were determined on sedimented cells prepared by centrifugation (Cytospin 11; Shandon Instruments; Pittsburgh, PA) and stained (Diff-Quik; Baxter Healthcare; Miami, FL).

RNA Extraction and Microarray Processing

Analyses were done using the following three different microarrays from Affymetrix (Santa Clara, CA): HuGeneFL (7,000 probe sets); HG-U133A (22,000 probe sets); and HG-U133 Plus 2.0 (54,000 probe sets). The protocols used were as described by the manufacturer. Total RNA was extracted from epithelial cells (TRIzol; Invitrogen; Carlsbad, CA) with further cleanup (RNeasy; Qiagen; Valencia, CA). This process yielded 2 to 4 μg RNA per 106 cells. Samples were processed as previously described using the kits and methods purchased from Affymetrix.4144 Hybridizations to test chips and to the microarrays were done according to the protocols of the manufacturer (Affymetrix), and microarrays were processed using a fluidics station (Affymetrix) and scanned (for the HuGeneFL microarray, GeneArray 2500; Affymetrix; for the HG-U133A and HG-U133 Plus 2.0 microarrays, GeneChip Scanner 3000 7G; Affymetrix). To maintain quality, only samples hybridized to test chips with a glyceraldehyde phosphate dehydrogenase of 3′ to 5′ ratio of < 3 were deemed satisfactory.

Microarray Data Analysis

Captured images were analyzed (Microarray Suite, version 5.0 algorithm; Affymetrix). These data were normalized using appropriate software (GeneSpring, version 7.2; Agilent Technologies; Palo Alto, CA) as follows: (1) per array, by dividing raw data by the fiftieth percentile of all measurements; and (2) per gene, by dividing the raw data by the median expression level for each gene across all arrays in a data set.

TaqMan Reverse Transcription-PCR Confirmation of Microarray Expression Levels

TaqMan real-time reverse transcription-PCR (RT-PCR) was done on RNA samples from the large airways of 17 healthy nonsmokers and 15 healthy smokers that had also been assessed (HG-U133 Plus 2.0 microarray; Affymetrix). Complementary DNA was synthesized from 2 μg of RNA in a 100-μL reaction volume (TaqMan Reverse Transcriptase Reaction kit; Applied Biosystems; Foster City, CA), with random hexamers as primers. Dilutions of 1:10 and 1:100 were made from each sample, and triplicate wells were run for each dilution. TaqMan PCR reactions were carried out using premade gene expression assays for the AZGP1 gene (Applied Biosystems), and 2 μL of complementary DNA were used in each 25-μL reaction volume. The endogenous control was 18S ribosomal RNA, and relative expression levels were determined using the ΔΔCt method (Applied Biosystems) with the average value for the nonsmokers as the calibrator. The PCR reactions were run in a sequence detector (Sequence Detection System 7500; Applied Biosystems).

Localization of AZGP1 in the Large Airway Epithelium

To assess which airway epithelial cells express AZGP1, bronchial biopsy specimens were obtained from the large airways of healthy nonsmokers and healthy smokers using conventional methods. Immunohistochemistry was subsequently done on paraffin-embedded endobronchial biopsy specimens. Sections were deparaffinized and rehydrated through a series of xylenes and alcohol. To enhance staining, an antigen recovery step was carried out by microwave treatment at 100°C, 15 min in citrate buffer solution (Labvision; Fremont, CA) followed by cooling at 23°C for 20 min. Endogenous peroxidase activity was quenched using 0.3% H2O2, and normal goat serum was used to reduce background staining. Samples were incubated with the primary antibody rabbit polyclonal anti-AZGP1 (1/5,000 dilution; Biovendor; Candler, NC) at 4°C overnight. Rabbit IgG (Jackson ImmunoResearch; West Grove, PA) was used as the isotype control. A stain kit (Vectastain Elite ABC kit; Vector Laboratories; Burlingame, CA) and chromogenic substrate 3-amino-9-ethyl-carbazole (AEC; Dako; Carpinteria, CA) were used to detect antibody binding. The sections were counterstained with Mayer hematoxylin (Polyscientific; Bayshore, NY) and mounted (GVA mounting medium; Zymed; San Francisco, CA). Bright-field microscopy was performed (Microphot microscope with Plan 40X N.A. 0.70 objective lens; Nikon; Tokyo, Japan). Images were captured using a CCD camera (DP70 CCD camera; Olympus; Tokyo, Japan).

Colocalizations of AZGP1 with a neuroendocrine cell marker (chromogranin A) and a secretory cell marker (mucin5AC) were also performed with cytospin preparations of large airway epithelium brushings. The following antibodies were used: AZGP1, rabbit polyclonal anti-AZGP1 (1/5,000 dilution; Biovendor), with rabbit IgG (Jackson ImmunoResearch) as the control; for chromogranin A, mouse monoclonal (LK2H10+PHE5) antihuman chromogranin (1/500 dilution; Thermo Scientific; Waltham, MA) and mouse IgG as the isotype control (Sigma-Aldrich; St. Louis, MO); for mucin 5AC, mouse monoclonal (CLH2) antihuman mucin 5AC (1/50; Vector Laboratories) and mouse IgG as the isotype control (Sigma-Aldrich). Following incubation with the primary antibodies, goat antirabbit Cy5 (Jackson ImmunoResearch) was used as a secondary antibody for AZGP1, and goat antimouse Cy3 (Jackson ImmunoResearch) was used as a secondary antibody for chromogranin A and mucin 5AC. Nuclei were counterstained with 4′,6-diamidino-2-phenylindole (DAPI, 1/20,00 dilution; Molecular Probes). A total of nine slides were used for each airway epithelial cell sample, as follows: (1) AZGP1 alone; (2) rabbit IgG control for AZGP1; (3) chromogranin A alone; (4) mucin 5AC alone; (5) mouse IgG control for chromogranin and mucin 5AC; (6) AZGP1 and chromogranin A colocalization; (7) rabbit IgG control for AZGP1 and mouse IgG control for chromogranin A; (8) AZGP1 and mucin 5AC colocalization; and (9) rabbit IgG control for AZGP1 and mouse IgG control for mucin 5AC. Images were captured using an Olympus IX 70 fluorescence microscope with 60-fold magnification. Images were analyzed using appropriate software (MetaMorph; Universal Imaging Corporation; Downingtown, PA). Pseudocolor images were formed by encoding Cy5 fluorescence in the green channel and Cy3 fluorescence in the red channel.

Quantitation of AZGP1-Positive Cells

To compare the frequency of AZGP1-positive cells between healthy nonsmokers and healthy smokers, cytospin preparations of large airway epithelial cells from 5 nonsmokers and 6 smokers were stained with rabbit antihuman AZGP1 or rabbit IgG as control. Goat antirabbit Cy3 was used as a secondary antibody. Nuclei were counterstained with DAPI. The percentage of AZGP1-positive cells was calculated as the number of AZGP1-positive cells per field/total number of nuclei per field in 10 random ×60 fields for each subject using a fluorescence microscope (IX 70; Olympus). Mean AZGP1-positive fractions in 10 fields for each subject of the nonsmoking and smoking groups were compared by t test.

Western Analysis

Western analysis was used to quantitatively assess AZGP1 protein expression in large airway brushing samples from healthy nonsmokers and healthy smokers. Brushed large airway epithelial cells were obtained as described. Initially, the cells were centrifuged at 600g, 5 min, 4°C. The whole cells were lysed with red cell lysis buffer (Cell Lytic Mammalian Tissue Lysis/Extraction reagent; Sigma-Aldrich) followed by whole cell lysis buffer (ACK lysing buffer; Invitrogen), and protease inhibitor (Sigma-Aldrich) was added to the sample. The sample was centrifuged at 10,000g and the protein-containing supernatant collected. The protein concentrations were assessed using a bicinchoninic acid protein concentration kit (Pierce; Rockford, IL). An equal concentration of protein (10 μg) mixed with sodium dodecyl sulfate (SDS Sample Loading Buffer; Invitrogen) and a reducing agent was loaded on Tris-glycine gels (Invitrogen). Protein electrophoresis was carried out at 100 V, for 2 h, and at 23°C. Sample proteins were transferred (at 25 V, for 1 h, and at 4°C) to a 0.45-μm-thick polyvinylidene fluoride membrane (Invitrogen) using a power source (Power Pack 300; Bio-Rad; Hercules, CA) and Tris-glycine transfer buffer (Bio-Rad). After transfer, the membranes were blocked with 5% milk in phosphate-buffered saline for 1 h, 23°C. The membranes were incubated with primary rabbit polyclonal anti-AZGP1 antibody (Biovendor) at a 1:1,000 dilution, for 2 h, at 4°C. Recombinant AZGP1 protein (Biovendor) was used as a positive control. Detection was performed using horseradish peroxidase-conjugated antirabbit antibody (1:2,000 dilution; Santa Cruz Biotechnology; Santa Cruz, CA) and a chemiluminescent reagent system (ECL; GE Healthcare; Pittsburgh, PA) using enhanced chemiluminescence (Hyperfilm; GE Healthcare). To assess the Western analyses quantitatively, the film was digitally imaged, maintaining exposure within the linear range of detection. The contrast was inverted, the pixel intensity of each band determined, and the background pixel intensity for a negative area of the film of identical size subtracted using image analysis software (MetaMorph; Universal Imaging). The membrane was subsequently stripped and reincubated with horseradish peroxidase-conjugated anti-β-actin antibody (Santa Cruz Biotechnology) as a control for equal protein concentration.

Statistical Analysis

Average expression values for AZGP1 in large airway samples were calculated from normalized expression levels for healthy nonsmokers and healthy smokers, and p values for all comparisons were calculated using the two-sample unequal variance Welch t test without correction for multiple testing.

Web Deposition of Data

All data have been deposited in the Gene Expression Omnibus (GEO) site ( http://www.ncbi.nlm.nih.gov/geo ), curated by the National Center for Bioinformatics. The accession number is GSE10135.

Role of the Funding Source

The funding source of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report or the decision to submit this report for publication.

Results

Study Population and Biological Samples

A total of 92 individuals, 37 healthy nonsmokers and 55 healthy smokers, were included in the microarray assessment of expression profiles of the large airway epithelium. These included 9 healthy nonsmokers and 13 healthy smokers from the HuGeneFL data set, 5 healthy nonsmokers and 6 healthy smokers from the HG-U133A data set, and 23 healthy nonsmokers and 36 healthy smokers from the HG-U133 Plus 2.0 data set (Table 1, Fig 1, online supplemental Fig 1). All individuals had normal general physical examination findings and no significant findings in the medical history. There were no differences between groups with regard to gender, race, or age (p > 0.05). All individuals were HIV negative with blood and urine parameters within normal ranges (p > 0.05 for all comparisons). The mean (± SD) body mass indices of the 37 healthy nonsmokers and 55 healthy smokers were 25.3 ± 3.6 and 27.7 ± 6.1 kg/m2, respectively, and the values were not significantly different (p > 0.05). Healthy smokers had a mean history of smoking of 27 ± 2 pack-years, and measurement of venous blood carboxyhemoglobin levels and urine nicotine and cotinine levels confirmed the smoking status of these individuals. Pulmonary function testing revealed normal lung function in healthy nonsmokers and healthy smokers (Table 1). The number of airway epithelial cells recovered ranged from 6.9 to 9.4 × 106 cells (Table 1). In all cases, > 96% of the cells recovered were epithelial cells. The various categories of airway epithelial cells were as expected for large airways.44

Table 1
Study Population and Large Airway Epithelial Samples*
Figure 1
Normalized expression levels of the fat-depleting gene AZGP1 in large airway epithelium of 23 healthy nonsmokers and 36 healthy smokers. Ordinate: normalized gene expression levels for AZGP1 ± SEM. Shown is the data for the HG-U133 Plus 2.0 Gene ...

Expression of AZGP1 in the Large Airway Epithelium

Using the criteria of the Detection Call of Present (P call; Affymetrix) in ≥ 50% of patients, AZGP1 was significantly up-regulated in the large airway epithelium of healthy smokers compared to healthy nonsmokers in every data set (Fig 1, online supplemental Fig 1). Assessment of GEO deposited microarray data from the independent data set of Spira et al45 confirmed the significant expression level of AZGP1 in the large airway epithelium of smokers (Fig 2).

Figure 2
Normalized gene expression levels of AZGP1 from GEO deposited data of Spira et al45 of the large airway epithelium with the HG-U133A chip ( http://www.ncbi.nlm.nih.gov/geo , accession number ...

To confirm the results obtained from microarray studies, TaqMan RT-PCR was carried out on RNA samples from the large airways of 17 healthy nonsmokers and 15 healthy smokers (Fig 3). The TaqMan data confirmed the up-regulation of AZGP1 messenger RNA expression in healthy smokers compared to that in healthy nonsmokers (1.9 ± 0.34-fold increase; p < 0.05).

Figure 3
Confirmation of the microarray results of AZGP1 expression levels in the large airway epithelium of healthy nonsmokers and healthy smokers with TaqMan real-time RT-PCR for AZGP1. The data included large airway epithelium from 17 healthy nonsmokers and ...

Western analysis was carried out on large airway samples from a total of 10 healthy nonsmokers and 10 healthy smokers to quantitatively assess AZGP1 expression. Overall, healthy smokers had increased AZGP1 expression when compared to nonsmokers (Fig 4, top, A). Analysis of the digitally imaged film (MetaMorph image analysis software; Universal Imaging Corporation) revealed significantly increased AZGP1 protein expression in healthy smokers compared to healthy nonsmokers (Fig 4, bottom, B; p < 0.02).

Figure 4
Western analysis of AZGP1 protein expression in large airway epithelial cells of healthy nonsmokers and healthy smokers. Top, A (upper panel): AZGP1 protein expression in nonsmokers (lanes 1 to 3) and smokers (lanes 4 to 6). Same gel probed with anti ...

Immunohistochemistry of large airway epithelial biopsy specimens obtained from healthy nonsmokers and healthy smokers was used to assess the cell-specific expression of AZGP1 (Fig 5). Positive staining for AZGP1 was observed in the large airway epithelial cells in both nonsmokers and smokers. Qualitatively, healthy smokers demonstrated stronger staining and in more cells.

Figure 5
Immunohistochemistry assessment of AZGP1 expression (shown in red) in endobronchial biopsy specimens from a healthy nonsmoker and a healthy smoker. Top left, A: endobronchial biopsy specimen from a healthy nonsmoker stained with rabbit IgG1 isotype control. ...

To detect the cell type that was expressing AZGP1, dual immunofluorescence was applied to large airway epithelial cells from a nonsmoker prepared by cytospin using cell type specific marker mucin 5AC for secretory cells and chromogranin A for neuroendocrine cells (Fig 6). Secretory cells expressing mucin5AC were readily detected, and a subset of these also expressed AZGP1 (Fig 6, top left, A, to top center right, F). Ciliated cells visible in the same fields never expressed AZGP1. The distinct subcellular distribution of AZGP1 and mucin5AC in conjunction with nonspecific antibody controls (not shown) confirmed the specificity of each antibody. However, not all secretory cells expressed AZGP1 (Fig 6, middle left, G, to middle right, I). Chromogranin A-positive cells were also observed in the cytospin preparation of large airway epithelial cells, and all of these expressed AZGP1 (Fig 6, bottom middle left, J, to bottom right, O). Controls were performed with matched IgG isotypes to show that the observed signals are attributable to the specific proteins with no cross bleeding between the channels used for detection (not shown).

Figure 6
Immunofluorescence assessment of AZGP1 colocalization with mucin 5AC and chromogranin A. Cytospin preparations of large airway epithelium from a healthy nonsmoker were stained with antibodies against AZGP1, mucin 5AC, and chromogranin A, followed by a ...

To quantify the AZGP1-positive cells in nonsmokers and smokers, the fraction of AZGP1-positive cells in representative fields of immunofluorescently stained cytospin preparations from 5 nonsmokers and 6 smokers was assessed. Representative low-power views of slides used in the quantitative analysis were shown (Fig 7, top left, A, to bottom middle, D). The mean percentage of positive cells in healthy nonsmokers (6.9 ± 0.7%) was significantly lower than that in healthy smokers (9.9 ± 0.9%; p < 0.05) [Fig 7, right, E)].

Figure 7
Quantification of AZGP1-positive cells in healthy nonsmokers and healthy smokers. Cytospin preparations of large airway epithelial cells from five nonsmokers and six smokers were stained with rabbit antihuman AZGP1 or rabbit IgG as control. Goat antirabbit ...

Discussion

Cigarette smoking is linked with decreased body weight in smokers, and when smokers stop smoking, they often gain weight. Based on the knowledge that the airway epithelium takes the brunt of the stress of cigarette smoke,46 we asked this question: does smoking alter the expression of a gene whose product is linked to weight loss? Using microarray analysis to compare gene expression of the airway epithelium in healthy smokers vs nonsmokers, we identified that AZGP1, a gene linked to weight loss,29,3336,47 was up-regulated in the airway epithelium of smokers. The microarray data were confirmed at the messenger RNA level by quantitative TaqMan PCR, and at the protein level by immunohistochemistry and Western analysis. We do not have data demonstrating increased levels of AZGP1 in biological fluids, and thus we cannot prove that smoking-induced increases in AZGP1 gene expression in airway epithelium is sufficient to mediate weight loss. However, with the background knowledge that smoking is associated with weight loss,127 smoking cessation results in significant weight gain from increased body fat,1116 AZGP1 stimulates lipolysis in vitro and in vivo,29,35,48 high systemic levels of AZGP1 are linked to cachexia,34 and administration of AZGP1 to experimental animals is associated with weight loss,29,35 the finding that AZGP1 expression is up-regulated in the airway epithelium in healthy smokers provides another mechanism explaining the weight change that occurs in cigarette smokers.

Smoking and Body Weight

Cigarette smokers of the same age and gender weigh less in comparison to nonsmokers, and anorexia is associated with cigarette smoking.17,25,27 Weight gain is a known deterrent to smoking cessation with an average weight gain of 2.4 to 5 kg.1216 A primary reason smokers give for not trying to quit smoking and for relapsing after cessation is weight gain,16,49 and the increase in the prevalence of overeating and obesity in the United States has been attributed in part to smoking cessation.50 Weight gain after smoking cessation is largely because of increased body fat.1216 Mechanisms that have been investigated include increased energy intake, decreased resting metabolic rate, and decreased physical activity.8,14,19,23,51,52 Studies18,53 have not consistently shown increased caloric intake as an explanation for the weight gain following smoking cessation. Nicotine, the major addictive component of tobacco, mediates decreased body weight and food intake in experimental animals and induces lipolysis in smokers.22,24,27 This lipolytic effect of smoking is attributed to the effect of nicotine on release of catecholamine, which, in turn, mediates lipolysis in adipocytes.1,22,54,55 Some studies have shown that nicotine, as a potent secretagogue in some cell types, mediates the release of peptides that regulate food intake and energy expenditure such as leptin, neuropeptide Y, and orexins.25,56,57

AZGP1

AZGP1 was first isolated from human plasma33 and later found to be expressed in secretory epithelial cells of the lung, liver, breast, GI tract, and sweat glands.38 Consistent with its production by secretory epithelium, AZGP1 is present in most body secretions.58,59 Several types of malignant tumors overexpress AZGP1,34,6064 and it has been proposed as a cancer marker.34,6064

Although the biological functions of AZGP1 have not been fully elucidated, it has been demonstrated to act as a lipid mobilizing factor and is associated with the dramatic weight loss seen in many cancer patients.29,3436 AZGP1 is identified as an adipokine because it is secreted by adipocytes.37,65 AZGP1 contains a class I major histocompatibility complex fold and is the sole soluble member of this superfamily of molecules.6668 Uncoupling proteins, members of the mitochondrial carrier family that are postulated to be involved in the control of energy metabolism and body fat, are induced by AZGP1 and cigarette smoke.27,28,3032,6971 Treatment with AZGP1 stimulates lipolysis in isolated mouse and human adipocytes, and it induces a rapid and selective reduction in body fat both in normal and ob/ob mice.35,37 This lipolytic action is mediated via the β3-adrenoreceptor on adipocytes with up-regulation of cyclic adenosine monophosphate.40 Finally, AZGP1-deficient mice have increased body weight when subjected to a standard or high-fat diet when compared to wild-type mice.47

AZGP1, Cigarette Smoking, and Expression in the Airway Epithelium

Based on the knowledge that smoking is associated with weight loss, smoking cessation results in weight gain largely from increased body fat, and AZGP1 stimulates lipolysis in vitro and in vivo, the finding that AZGP1 expression is up-regulated in healthy smokers may reflect one mechanism contributing to the weight changes that occur in cigarette smokers. AZGP1 has been known to be expressed in healthy lung tissue as evidenced by immunohistochemical staining demonstrating AZGP1 expression in airway secretory cells.38 A study assessing AZGP1 messenger RNA levels in lung tissue of patients with primary lung cancer and lung metastases revealed no significant difference in AZGP1 levels among smokers and nonsmokers,39 but the airway epithelium was not assessed directly, and thus the relationships among lung cancer, smoking, and the expression of AZGP1 in airway epithelium is unclear. AZGP1 was identified in the blood and urine of cancer patients with cachexia,34,35 and several studies72,73 have supported a role for AZGP1 in cancer. In the present study, the data demonstrate that AZGP1 is significantly up-regulated in the large airway epithelium of healthy cigarette smokers. Interestingly, the immunohistochemistry demonstrated not only expression of AZGPI in the secretory cells but also in neuroendocrine cells of smokers. The observation that AZGP1 is expressed in neuroendocrine cells may be important in the context that hormonal effects resulting in lipolysis are known to be neurohormonally regulated.74

Supplementary Material

supplemental figure:

Acknowledgment:

We thank A. Heguy for helpful discussions; and N. Mohamed for help in preparing this manuscript.

Abbreviations:

AZGP1
α2-zinc-glycoprotein 1
GEO
Gene Expression Omnibus
PCR
polymerase chain reaction
RT-PCR
reverse transcription polymerase chain reaction

Footnotes

These studies were supported, in part, by National Institutes of Health grants R01 HL074326, P50 HL084936, and UL1-RR024996; and by the Will Rogers Memorial Fund (Los Angeles, CA).

The authors have reported to the ACCP that no significant conflicts of interest exist with any companies/organizations whose products or services may be discussed in this article.

Reproduction of this article is prohibited without written permission from the American College of Chest Physicians ( www.chestjournal.org/site/misc/reprints.xhtml ).

References

1. Perkins KA. Metabolic effects of cigarette smoking. J Appl Physiol. 1992;72:401–409. [PubMed]
2. Filozof C, Fernandez Pinilla MC, Fernandez-Cruz A. Smoking cessation and weight gain. Obes Rev. 2004;5:95–103. [PubMed]
3. Albanes D, Jones DY, Micozzi MS, et al. Associations between smoking and body weight in the US population: analysis of NHANES II. Am J Public Health. 1987;77:439–444. [PMC free article] [PubMed]
4. Klesges RC, Meyers AW, Klesges LM, et al. Smoking, body weight, and their effects on smoking behavior: a comprehensive review of the literature. Psychol Bull. 1989;106:204–230. [PubMed]
5. Klesges RC, Klesges LM, Meyers AW. Relationship of smoking status, energy balance, and body weight: analysis of the Second National Health and Nutrition Examination Survey. J Consult Clin Psychol. 1991;59:899–905. [PubMed]
6. Bamia C, Trichopoulou A, Lenas D, et al. Tobacco smoking in relation to body fat mass and distribution in a general population sample. Int J Obes Relat Metab Disord. 2004;28:1091–1096. [PubMed]
7. Pisinger C, Jorgensen T. Weight concerns and smoking in a general population: the Inter99 study. Prev Med. 2007;44:283–289. [PubMed]
8. Stamford BA, Matter S, Fell RD, et al. Effects of smoking cessation on weight gain, metabolic rate, caloric consumption, and blood lipids. Am J Clin Nutr. 1986;43:486–494. [PubMed]
9. Spring B, Wurtman J, Gleason R, et al. Weight gain and withdrawal symptoms after smoking cessation: a preventive intervention using d-fenfluramine. Health Psychol. 1991;10:216–223. [PubMed]
10. Williamson DF, Madans J, Anda RF, et al. Smoking cessation and severity of weight gain in a national cohort. N Engl J Med. 1991;324:739–745. [PubMed]
11. Froom P, Melamed S, Benbassat J. Smoking cessation and weight gain. J Fam Pract. 1998;46:460–464. [PubMed]
12. Klesges RC, Winders SE, Meyers AW, et al. How much weight gain occurs following smoking cessation? A comparison of weight gain using both continuous and point prevalence abstinence. J Consult Clin Psychol. 1997;65:286–291. [PubMed]
13. O'Hara P, Connett JE, Lee WW, et al. Early and late weight gain following smoking cessation in the Lung Health Study. Am J Epidemiol. 1998;148:821–830. [PubMed]
14. Ferrara CM, Kumar M, Nicklas B, et al. Weight gain and adipose tissue metabolism after smoking cessation in women. Int J Obes Relat Metab Disord. 2001;25:1322–1326. [PubMed]
15. Janzon E, Hedblad B, Berglund G, et al. Changes in blood pressure and body weight following smoking cessation in women. J Intern Med. 2004;255:266–272. [PubMed]
16. Pisinger C, Jorgensen T. Waist circumference and weight following smoking cessation in a general population: the Inter99 study. Prev Med. 2007;44:290–295. [PubMed]
17. Grunberg NE. The effects of nicotine and cigarette smoking on food consumption and taste preferences. Addict Behav. 1982;7:317–331. [PubMed]
18. Rodin J. Weight change following smoking cessation: the role of food intake and exercise. Addict Behav. 1987;12:303–317. [PubMed]
19. Perkins KA, Epstein LH, Marks BL, et al. The effect of nicotine on energy expenditure during light physical activity. N Engl J Med. 1989;320:898–903. [PubMed]
20. Jensen EX, Fusch C, Jaeger P, et al. Impact of chronic cigarette smoking on body composition and fuel metabolism. J Clin Endocrinol Metab. 1995;80:2181–2185. [PubMed]
21. Perkins KA, Sexton JE. Influence of aerobic fitness, activity level, and smoking history on the acute thermic effect of nicotine. Physiol Behav. 1995;57:1097–1102. [PubMed]
22. Andersson K, Arner P. Systemic nicotine stimulates human adipose tissue lipolysis through local cholinergic and catecholaminergic receptors. Int J Obes Relat Metab Disord. 2001;25:1225–1232. [PubMed]
23. Kimm SY, Glynn NW, Aston CE, et al. Effects of race, cigarette smoking, and use of contraceptive medications on resting energy expenditure in young women. Am J Epidemiol. 2001;154:718–724. [PubMed]
24. Miyata G, Meguid MM, Varma M, et al. Nicotine alters the usual reciprocity between meal size and meal number in female rat. Physiol Behav. 2001;74:169–176. [PubMed]
25. Jo YH, Talmage DA, Role LW. Nicotinic receptor-mediated effects on appetite and food intake. J Neurobiol. 2002;53:618–632. [PMC free article] [PubMed]
26. Bishop C, Parker GC, Coscina DV. Systemic nicotine alters whole-body fat utilization in female rats. Physiol Behav. 2004;80:563–567. [PubMed]
27. Chen H, Vlahos R, Bozinovski S, et al. Effect of short-term cigarette smoke exposure on body weight, appetite and brain neuropeptide Y in mice. Neuropsychopharmacology. 2005;30:713–719. [PubMed]
28. Rankinen T, Zuberi A, Chagnon YC, et al. The human obesity gene map: the 2005 update. Obesity (Silver Spring) 2006;14:529–644. [PubMed]
29. Russell ST, Zimmerman TP, Domin BA, et al. Induction of lipolysis in vitro and loss of body fat in vivo by zinc-α2-glycoprotein. Biochim Biophys Acta. 2004;1636:59–68. [PubMed]
30. Li S, Loos RJ. Progress in the genetics of common obesity: size matters. Curr Opin Lipidol. 2008;19:113–121. [PubMed]
31. Luis DA, Aller R, Izaola O, et al. Modulation of adipocytokines response and weight loss secondary to a hypocaloric diet in obese patients by -55CT polymorphism of UCP3 gene. Horm Metab Res. 2008;40:214–218. [PubMed]
32. Sanders PM, Tisdale MJ. Effect of zinc-α2-glycoprotein (ZAG) on expression of un-coupling proteins in skeletal muscle and adipose tissue. Cancer Lett. 2004;212:71–81. [PubMed]
33. Burgi W, Schmid K. Preparation and properties of Zn-α2-glycoprotein of normal human plasma. J Biol Chem. 1961;236:1066–1074. [PubMed]
34. Groundwater P, Beck SA, Barton C, et al. Alteration of serum and urinary lipolytic activity with weight loss in cachectic cancer patients. Br J Cancer. 1990;62:816–821. [PMC free article] [PubMed]
35. Hirai K, Hussey HJ, Barber MD, et al. Biological evaluation of a lipid-mobilizing factor isolated from the urine of cancer patients. Cancer Res. 1998;58:2359–2365. [PubMed]
36. Todorov PT, McDevitt TM, Meyer DJ, et al. Purification and characterization of a tumor lipid-mobilizing factor. Cancer Res. 1998;58:2353–2358. [PubMed]
37. Bing C, Bao Y, Jenkins J, et al. Zinc-α2-glycoprotein, a lipid mobilizing factor, is expressed in adipocytes and is up-regulated in mice with cancer cachexia. Proc Natl Acad Sci U S A. 2004;101:2500–2505. [PMC free article] [PubMed]
38. Tada T, Ohkubo I, Niwa M, et al. Immunohistochemical localization of Zn-α2-glycoprotein in normal human tissues. J Histochem Cytochem. 1991;39:1221–1226. [PubMed]
39. Falvella FS, Spinola M, Pignatiello C, et al. AZGP1 mRNA levels in normal human lung tissue correlate with lung cancer disease status. Oncogene. 2008;27:1650–1656. [PubMed]
40. Russell ST, Hirai K, Tisdale MJ. Role of β3-adrenergic receptors in the action of a tumour lipid mobilizing factor. Br J Cancer. 2002;86:424–428. [PMC free article] [PubMed]
41. Heguy A, Harvey BG, O'Connor TP, et al. Sampling-dependent upregulation of gene expression in sequential samples of human airway epithelial cells. Mol Med. 2003;9:200–208. [PMC free article] [PubMed]
42. Hackett NR, Heguy A, Harvey BG, et al. Variability of antioxidant-related gene expression in the airway epithelium of cigarette smokers. Am J Respir Cell Mol Biol. 2003;29:331–343. [PubMed]
43. Carolan BJ, Heguy A, Harvey BG, et al. Up-regulation of expression of the ubiquitin carboxyl-terminal hydrolase L1 gene in human airway epithelium of cigarette smokers. Cancer Res. 2006;66:10729–10740. [PubMed]
44. Harvey BG, Heguy A, Leopold PL, et al. Modification of gene expression of the small airway epithelium in response to cigarette smoking. J Mol Med. 2007;85:39–53. [PubMed]
45. Spira A, Beane J, Shah V, et al. Effects of cigarette smoke on the human airway epithelial cell transcriptome. Proc Natl Acad Sci U S A. 2004;101:10143–10148. [PMC free article] [PubMed]
46. Church DF, Pryor WA. The oxidative stress placed on the lung by cigarette smoke. In: Crystal RG, West JB, editors. Lung injury. New York, NY: Raven Press; 1992. pp. 215–219.
47. Rolli V, Radosavljevic M, Astier V, et al. Lipolysis is altered in MHC class I zinc-α(2)-glycoprotein deficient mice. FEBS Lett. 2007;581:394–400. [PubMed]
48. Russell ST, Tisdale MJ. Effect of a tumour-derived lipid-mobilising factor on glucose and lipid metabolism in vivo. Br J Cancer. 2002;87:580–584. [PMC free article] [PubMed]
49. Pomerleau CS, Zucker AN, Stewart AJ. Characterizing concerns about post-cessation weight gain: results from a national survey of women smokers. Nicotine Tob Res. 2001;3:51–60. [PubMed]
50. Flegal KM. The effects of changes in smoking prevalence on obesity prevalence in the United States. Am J Public Health. 2007;97:1510–1514. [PMC free article] [PubMed]
51. Perkins KA, Epstein LH, Pastor S. Changes in energy balance following smoking cessation and resumption of smoking in women. J Consult Clin Psychol. 1990;58:121–125. [PubMed]
52. Clemens LH, Klesges RC, Slawson DL, et al. Cigarette smoking is associated with energy balance in premenopausal African-American adult women differently than in similarly aged white women. Int J Obes Relat Metab Disord. 2003;27:1219–1226. [PubMed]
53. Clearman DR, Jacobs DR., Jr Relationships between weight and caloric intake of men who stop smoking: the Multiple Risk Factor Intervention Trial. Addict Behav. 1991;16:401–410. [PubMed]
54. Cryer PE, Haymond MW, Santiago JV, et al. Norepinephrine and epinephrine release and adrenergic mediation of smoking-associated hemodynamic and metabolic events. N Engl J Med. 1976;295:573–577. [PubMed]
55. Lafontan M, Berlan M. Fat cell adrenergic receptors and the control of white and brown fat cell function. J Lipid Res. 1993;34:1057–1091. [PubMed]
56. Kane JK, Parker SL, Matta SG, et al. Nicotine up-regulates expression of orexin and its receptors in rat brain. Endocrinology. 2000;141:3623–3629. [PubMed]
57. Chen H, Hansen MJ, Jones JE, et al. Regulation of hypothalamic NPY by diet and smoking. Peptides. 2007;28:384–389. [PubMed]
58. Ohkubo I, Niwa M, Takashima A, et al. Human seminal plasma Zn-α2-glycoprotein: its purification and properties as compared with human plasma Zn-α2-glycoprotein. Biochim Biophys Acta. 1990;1034:152–156. [PubMed]
59. Poortmans JR, Schmid K. The level of Zn-α2-glycoprotein in normal human body fluids and kidney extract. J Lab Clin Med. 1968;71:807–811. [PubMed]
60. Diez-Itza I, Sanchez LM, Allende MT, et al. Zn-α2-glycoprotein levels in breast cancer cytosols and correlation with clinical, histological and biochemical parameters. Eur J Cancer. 1993;29A:1256–1260. [PubMed]
61. Brysk MM, Lei G, Adler-Storthz K, et al. Zinc-α2-glycoprotein expression as a marker of differentiation in human oral tumors. Cancer Lett. 1999;137:117–120. [PubMed]
62. Hale LP, Price DT, Sanchez LM, et al. Zinc α-2-glycoprotein is expressed by malignant prostatic epithelium and may serve as a potential serum marker for prostate cancer. Clin Cancer Res. 2001;7:846–853. [PubMed]
63. Irmak S, Tilki D, Heukeshoven J, et al. Stage-dependent increase of orosomucoid and zinc-α2-glycoprotein in urinary bladder cancer. Proteomics. 2005;5:4296–4304. [PubMed]
64. Henshall SM, Horvath LG, Quinn DI, et al. Zinc-α2- glycoprotein expression as a predictor of metastatic prostate cancer following radical prostatectomy. J Natl Cancer Inst. 2006;98:1420–1424. [PubMed]
65. Bao Y, Bing C, Hunter L, et al. Zinc-α2-glycoprotein, a lipid mobilizing factor, is expressed and secreted by human (SGBS) adipocytes. FEBS Lett. 2005;579:41–47. [PubMed]
66. Araki T, Gejyo F, Takagaki K, et al. Complete amino acid sequence of human plasma Zn-α2-glycoprotein and its homology to histocompatibility antigens. Proc Natl Acad Sci U S A. 1988;85:679–683. [PMC free article] [PubMed]
67. Sanchez LM, Lopez-Otin C, Bjorkman PJ. Biochemical characterization and crystallization of human Zn-α2-glycoprotein, a soluble class I major histocompatibility complex homolog. Proc Natl Acad Sci U S A. 1997;94:4626–4630. [PMC free article] [PubMed]
68. Sanchez LM, Chirino AJ, Bjorkman P. Crystal structure of human ZAG, a fat-depleting factor related to MHC molecules. Science. 1999;283:1914–1919. [PubMed]
69. Bing C, Brown M, King P, et al. Increased gene expression of brown fat uncoupling protein (UCP)1 and skeletal muscle UCP2 and UCP3 in MAC16-induced cancer cachexia. Cancer Res. 2000;60:2405–2410. [PubMed]
70. Bing C, Russell ST, Beckett EE, et al. Expression of uncoupling proteins-1, -2 and -3 mRNA is induced by an adenocarcinoma-derived lipid-mobilizing factor. Br J Cancer. 2002;86:612–618. [PMC free article] [PubMed]
71. Erlanson-Albertsson C. The role of uncoupling proteins in the regulation of metabolism. Acta Physiol Scand. 2003;178:405–412. [PubMed]
72. Suhr ML, Dysvik B, Bruland O, et al. Gene expression profile of oral squamous cell carcinomas from Sri Lankan betel quid users. Oncol Rep. 2007;18:1061–1075. [PubMed]
73. Albertus DL, Seder CW, Chen G, et al. AZGP1 autoantibody predicts survival and histone deacetylase inhibitors increase expression in lung adenocarcinoma. J Thorac Oncol. 2008;3:1236–1244. [PubMed]
74. Bartness TJ, Bamshad M. Innervation of mammalian white adipose tissue: implications for the regulation of total body fat. Am J Physiol. 1998;275:R1399–R1411. [PubMed]

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