Abstract
Airway-associated adipose tissue increases with body mass index and is a local source of pro-inflammatory adipokines that may contribute to airway pathology in asthma co-existing with obesity. Genetic susceptibility to airway adiposity was considered in the present study through kisspeptin/kisspeptin receptor signalling, known to modulate systemic adiposity and potentially drive airway remodelling. Therefore, the aim of the study was to determine the effects of kisspeptin/kisspeptin receptor signalling in the lung, focusing on airway-associated adipose tissue deposition and impact on airway structure–function. Wild-type, heterozygous and kisspeptin receptor knockout mice were studied at 6 or 8 weeks of age. Lung mechanics were assessed before and after methacholine challenge and were subsequently fixed for airway morphometry. A separate group of mice underwent glucose tolerance testing and bronchoalveolar lavage. At 6 weeks of age, kisspeptin/kisspeptin receptor signalling did not affect body adiposity, airway inflammation, wall structure or function. Despite no differences in body adiposity, there was a greater accumulation of airway-associated adipose tissue in knockout mice. By 8 weeks of age, female knockout mice displayed a non-diabetic phenotype with increased body adiposity but not males. Airway-associated adipose tissue area was also increased in both knockout females and males at 8 weeks of age, but again no other respiratory abnormality was apparent. In summary, airway-associated adipose tissue is decoupled from body adiposity in prepubescent mice which supports a genetic susceptibility to fatty deposits localised to the airway wall. There was no evidence that airway-associated adipose tissue drives pathology or respiratory impairment in the absence of other environmental exposures.
Introduction
Patients with asthma experience symptoms including cough, wheeze and shortness of breath which are underpinned by airway inflammation, remodelling (e.g., thickening of the airway smooth muscle [ASM] layer [1]) and lung function impairment. Disease severity is increased in patients with asthma who are also obese, where excessive adipose tissue accumulation worsens symptoms and reduces responsiveness to controller therapy [2]. Our research group has identified and quantified adipose tissue within the airway wall, dubbed ‘airway-associated adipose tissue’, which was increased in overweight and obese patients, and positively correlated to airway wall thickness [3]. Using pig lungs, we also demonstrated that airway-associated adipose tissue releases pro-inflammatory adipokines [4]. Together these findings support a direct or indirect role of airway-associated adipose tissue in severe asthma patients who are also obese.
However, when closely examining the positive linear relationship between body mass index (BMI) and airway-associated adipose tissue [3], it is evident that BMI accounts for only ∼40% of fat accumulation in the airway wall, suggesting other contributing factors may be at play. In particular, there is a known genetic predisposition to both obesity [5] and asthma development [6]. A gene of interest in the lung is kisspeptin (Kiss1) and its receptor (Kiss1r), which have been shown to abate proliferation of ASM cells in vitro with reduced expression in ASM cells from asthma subjects compared with healthy subjects [7]. Activation of the Kiss1/Kiss1r signalling pathway also attenuates histopathological lung abnormalities present in pulmonary fibrosis by reducing inflammatory cell infiltration, α-smooth muscle actin production and collagen deposition [8]. Outside the lung, both Kiss1 and Kiss1r are expressed in peripheral organs including the liver and white adipose tissue (WAT, [9]) and contribute to regulation of energy expenditure, adiposity and glucose metabolism [10]. Impaired Kiss1/Kiss1r signalling leads to spontaneous development of obesity in adult female mice, with greater body weight, higher abdominal adiposity, reduced glucose tolerance [11], diminished thermogenic capacity within brown adipose tissue and a lower core body temperature [9]. Effects are sex-dependent, mediated through Kiss1 expression in the hypothalamus and modification of the downstream release of sex hormones [12].
The primary aim of the present study was to examine a possible genetic determinant of airway-associated adipose tissue. We used a Kiss1r knockout (KO) mouse model to quantify airway-associated adipose tissue and body adiposity at prepubescent and young adult timepoints, in both males and females. A secondary aim was to assess abnormalities in airway structure–function and inflammation in response to disruption of Kiss1/Kiss1r signalling.
Methods
Kiss1r KO mouse model
Procedures were approved by The University of Western Australia Animal Ethics Committee (RA/3/100/1696) in accordance with National Health and Medical Research Council guidelines. Mice of Kiss1r wild-type (WT), heterozygous (Het) and KO genotypes were generated by mating Het breeders carrying the retroviral insertion in the Kiss1r gene on a C57BL/6J background (generations 19–25, [11]). Mice were originally generated by Omeros Corporation (Seattle, Washington, U.S.A.) and rederived at the Biomedical Research Facility, The University of Western Australia (Shenton Park, Western Australia, Australia). At 3 weeks of age, mice were genotyped by PCR after ear punch [13]. From birth, mice were housed at the Biomedical Research Facility, The University of Western Australia and after genotyping, mice were transferred to the Pre-Clinical Facility at The University of Western Australia (Crawley, Western Australia, Australia) for experiments. Littermates were housed on a 12:12 light:dark cycle and maintained at a temperature between 18 and 24°C. Mice had access to ad libitum water and standard rodent chow. Male and female genotypes (6 weeks of age ‘prepubescent’, 8 weeks of age ‘young adult’) were randomly assigned into two experimental groups (Figure 1). Sample sizes for each outcome are listed in the Results, Figure Legends or Tables. Body weight, snout-vent length and abdominal circumference were recorded during experimentation.
Mouse study protocol
Lung function
Group 1 mice were anaesthetised with an i.p. injection of ketamine (0.4 mg/g body weight) and xylazine (0.02 mg/g body weight), tracheostomised and subsequently ventilated at 250 breaths/min on a FlexiVent system (FX module 1, flexiWare version 7.5, SCIREQ). Lung volume history was standardised by three slow inflation-deflation manoeuvrers from 0 to 20 cmH2O transrespiratory pressure [14]. The change in lung volume from 0 to 20 cmH2O transrespiratory pressure was normalized to body weight. The forced oscillation technique was used to measure respiratory impedance before and after methacholine (MCh, acetyl-β-methacholine chloride; Merck KgaA) challenge (saline-30 mg/ml). Airway resistance (Raw), tissue damping (G) and tissue elastance (H) were derived from respiratory impedance. The delta change was calculated as the difference from saline to MCh at 30 mg/ml (i.e., ΔRaw, ΔG and ΔH).
Airway morphometry
Following the final dose of MCh, a 0.1 ml i.p. injection of atropine (600 µg/ml) was administered, and 10 min later mice were euthanized with an overdose of ketamine and xylazine. After euthanasia (Group 1), lungs were inflation-fixed in 4% formaldehyde at 10 cmH2O transpulmonary pressure. Transverse sections (5 µm) from three zones within the left lung (upper, middle and lower regions) were stained with hematoxylin and eosin (H&E, [15]) to quantify airway size (perimeter of basement membrane, Pbm) and areas of airway-associated adipose tissue, epithelium, ASM, inner (WAi), outer (WAo) and total wall (WAt) using Stereo Investigator Software (version 10.42.1, MBF Bioscience). Identification of airway-associated adipose tissue has been previously validated [4] where in H&E-stained sections, clustered adipocytes were generally spherical with a single nucleus localised to the cell membrane, adopting a signet ring appearance [3] typical of WAT morphology. Normalization to airway size was achieved by square rooting area and division by Pbm. Case means were obtained for central and peripheral airways by calculating the average over the three measured zones for each mouse.
Glucose tolerance
Group 2 mice were re-housed in clean cages to void food remnants with access to water ad libitum and fasted for 5 h prior to i.p. glucose injection (1 g/kg body weight). Blood sampled from the tail-tip was used to measure blood glucose levels at baseline and 15, 30, 45, 60, 90 and 120 min post-glucose injection using a glucometer (Accu-Chek Performa, Roche; [16]). Assessment of glucose tolerance was determined by calculating area under the curve for blood glucose levels over 2 h.
Bronchoalveolar lavage, tissue collection and analyses
Three days following glucose tolerance testing (Group 2), mice were euthanized by an overdose i.p. injection of ketamine and xylazine and then tracheostomised for bronchoalveolar lavage (BAL) fluid cell counts [17]. The BAL fluid was centrifuged at 400 g for 4 min and the cell pellet was resuspended in phosphate-buffered solution. Lavage samples were processed for total BAL cell counts as previously described [18]; resuspended cells were identified using trypan blue staining and total cell counts were performed using a haemocytometer. Lungs and WAT (female, ovarian region; male, epididymal region) were dissected and weighed. Right lungs from mice at 6 weeks of age were snap frozen to analyse the expression of Kiss1. Homogenised lung tissue was treated with DNase (RQ1 RNase-free DNase, Promega) during RNA isolation to avoid genomic DNA contamination. Samples were analysed by quantitative real-time PCR (qPCR) using designer primers (Table 1) with QuantiNova SYBR Green PCR Master Mix (Qiagen), using CFX384 Touch Real-Time PCR Detection System (Bio-Rad). Standard curves were used to interpolate Ct values of target mRNA and normalised to reference genes: peptidylprolyl isomerase A (PPIA), succinate dehydrogenase (SDHA) and TATA-binding protein (TBP).
Gene . | Product size (bp) . | Forward sequence . | Reverse sequence . |
---|---|---|---|
Kiss1 | 126 | 5′-CTCTGTGTCGCCACCTATGG-3′ | 5′-AGGCTTGCTCTCTGCATACC-3′ |
Kiss1r | 172 | 5′-CTGTCAGCCTCAGCATCTGG-3′ | 5′-AGCAGCGGCAGCAGATATAG-3′ |
PPIA | 127 | 5′-AGCATACAGGTCCTGGCATC-3′ | 5′-TTCACCTTCCCAAAGACCAC-3′ |
SDHA | 149 | 5′-TGGGGAGTGCCGTGGTGTCA-3′ | 5′-CTGTGCCGTCCCCTGTGCTG-3′ |
TBP | 113 | 5′-GGGAGAATCATGGACCAGAA-3′ | 5′-CCGTAAGGCATCATTGGACT-3′ |
Gene . | Product size (bp) . | Forward sequence . | Reverse sequence . |
---|---|---|---|
Kiss1 | 126 | 5′-CTCTGTGTCGCCACCTATGG-3′ | 5′-AGGCTTGCTCTCTGCATACC-3′ |
Kiss1r | 172 | 5′-CTGTCAGCCTCAGCATCTGG-3′ | 5′-AGCAGCGGCAGCAGATATAG-3′ |
PPIA | 127 | 5′-AGCATACAGGTCCTGGCATC-3′ | 5′-TTCACCTTCCCAAAGACCAC-3′ |
SDHA | 149 | 5′-TGGGGAGTGCCGTGGTGTCA-3′ | 5′-CTGTGCCGTCCCCTGTGCTG-3′ |
TBP | 113 | 5′-GGGAGAATCATGGACCAGAA-3′ | 5′-CCGTAAGGCATCATTGGACT-3′ |
Kiss1, kisspeptin; Kiss1r, kisspeptin receptor; PPIA, peptidylprolyl isomerase; SDHA, succinate hydrogenase; TBP, TATA box binding protein.
Metabolic assay
Cardiac puncture (post-mortem) was also performed on mice at 6 weeks of age from Group 2. Blood samples were centrifuged at 2000 g for 5 min at 4°C. The Milliplex™ Mouse Metabolic Magnetic Bead Panel Assay (Cat# MMHE-44K, Merck KGaA) was used to measure plasma biomarker concentrations: C-peptide, gastric inhibitory peptide, glucagon, insulin, leptin, peptide YY and resistin. Analyte fluorescence was analysed with 5PL logarithmic regression.
Statistical analysis
Genotype, sex or age effects were analysed by two- or three-way ANOVA. Data were transformed to satisfy assumptions of normality and homoscedasticity as required with SigmaPlot (version 14.5, Systat Software Inc.). Non-parametric data were compared between genotypes using a Kruskal–Wallis test, and between sex with a Mann–Whitney U test. Functional outcomes (Raw, G and H) were compared between genotype and sex, before and after MCh challenge. Graphical analyses were conducted using PRISM (version 9.5.1, GraphPad). Data are presented as mean ± SEM with P<0.05 considered statistically significant.
Results
Kiss1 and Kiss1r expression in the lung
Relative expression of Kiss1 and Kiss1r genes in mouse lungs at 6 weeks of age
Anthropometrics—body size, adiposity and tissue weights
At 6 weeks of age, WT and Het males were greater in body weight than KO males (P<0.001, Figure 3A). Snout-vent length was also larger in Het males than KO males (P=0.045, Table 2). Body weight of female mice was comparable between genotypes (P>0.05, Figure 3A). There was no effect of genotype on absolute WAT (P=0.078) or WAT normalised to body weight (P=0.778), and therefore no evidence of increased body adiposity in prepubescent animals (Table 3). Similarly, there were no genotypic differences in absolute (P=0.198) or relative (P=0.126) lung weights (Table 3).
Mouse body weight
. | Six weeks of age . | Eight weeks of age . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Measurement . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . |
Snout-vent length (cm) | 9.6 ± 0.1*†‡ | 9.3 ± 0.1 | 9.8 ± 0.1*† | 9.1 ± 0.1 | 9.3 ± 0.1 | 9.2 ± 0.2 | 9.9 ± 0.1*† | 9.6 ± 0.1 | 10.1 ± 0.1*† | 9.7 ± 0.1 | 9.7 ± 0.1 | 9.8 ± 0.1 |
Abdominal circumference (cm) | 6.9 ± 0.1† | 6.4 ± 0.1 | 6.8 ± 0.1† | 6.4 ± 0.1 | 6.4 ± 0.1† | 6.3 ± 0.1 | 6.5 ± 0.1*† | 5.9 ± 0.1 | 6.5 ± 0.1* | 6.2 ± 0.1 | 5.9 ± 0.1 | 6.0 ± 0.1 |
. | Six weeks of age . | Eight weeks of age . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Measurement . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . | Male (n=18) . | Female (n=18) . |
Snout-vent length (cm) | 9.6 ± 0.1*†‡ | 9.3 ± 0.1 | 9.8 ± 0.1*† | 9.1 ± 0.1 | 9.3 ± 0.1 | 9.2 ± 0.2 | 9.9 ± 0.1*† | 9.6 ± 0.1 | 10.1 ± 0.1*† | 9.7 ± 0.1 | 9.7 ± 0.1 | 9.8 ± 0.1 |
Abdominal circumference (cm) | 6.9 ± 0.1† | 6.4 ± 0.1 | 6.8 ± 0.1† | 6.4 ± 0.1 | 6.4 ± 0.1† | 6.3 ± 0.1 | 6.5 ± 0.1*† | 5.9 ± 0.1 | 6.5 ± 0.1* | 6.2 ± 0.1 | 5.9 ± 0.1 | 6.0 ± 0.1 |
* denotes P<0.05 compared with KO, ‡ denotes P<0.05 compared with Het and † denotes P<0.05 compared with females. Data are presented as mean ± SEM. Het, heterogenous; KO, knockout; WT, wild-type.
. | Six weeks of age . | Eight weeks of age . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Measurement . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . |
WAT weight (g) | 0.231 ± 0.026† | 0.188 ± 0.013 | 0.282 ± 0.016† | 0.176 ± 0.007 | 0.195 ± 0.015† | 0.175 ± 0.018 | 0.305 ± 0.017† | 0.221 ± 0.012* | 0.342 ± 0.024† | 0.241 ± 0.024* | 0.292 ± 0.018† | 0.401 ± 0.017 |
WAT weight (% of body weight) | 0.947 ± 0.082† | 0.892 ± 0.044 | 1.088 ± 0.058† | 0.832 ± 0.035 | 0.944 ± 0.064† | 0.881 ± 0.084 | 1.169 ± 0.051 | 1.016 ± 0.050* | 1.238 ± 0.083 | 1.063 ± 0.100* | 1.299 ± 0.071† | 1.722 ± 0.071 |
Total lung weight (g) | 0.282 ± 0.009 | 0.276 ± 0.012 | 0.290 ± 0.005 | 0.261 ± 0.010 | 0.252 ± 0.013 | 0.256 ± 0.012 | 0.324 ± 0.016 | 0.271 ± 0.012 | 0.318 ± 0.011 | 0.289 ± 0.010 | 0.288 ± 0.013 | 0.298 ± 0.016 |
Total lung weight (% of body weight) | 1.182 ± 0.033† | 1.326 ± 0.070 | 1.121 ± 0.018† | 1.231 ± 0.035 | 1.274 ± 0.050† | 1.297 ± 0.061 | 1.257 ± 0.080 | 1.247 ± 0.057 | 1.154 ± 0.038 | 1.284 ± 0.029 | 1.282 ± 0.047 | 1.282 ± 0.066 |
. | Six weeks of age . | Eight weeks of age . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Measurement . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . | Male (n=8) . | Female (n=8) . |
WAT weight (g) | 0.231 ± 0.026† | 0.188 ± 0.013 | 0.282 ± 0.016† | 0.176 ± 0.007 | 0.195 ± 0.015† | 0.175 ± 0.018 | 0.305 ± 0.017† | 0.221 ± 0.012* | 0.342 ± 0.024† | 0.241 ± 0.024* | 0.292 ± 0.018† | 0.401 ± 0.017 |
WAT weight (% of body weight) | 0.947 ± 0.082† | 0.892 ± 0.044 | 1.088 ± 0.058† | 0.832 ± 0.035 | 0.944 ± 0.064† | 0.881 ± 0.084 | 1.169 ± 0.051 | 1.016 ± 0.050* | 1.238 ± 0.083 | 1.063 ± 0.100* | 1.299 ± 0.071† | 1.722 ± 0.071 |
Total lung weight (g) | 0.282 ± 0.009 | 0.276 ± 0.012 | 0.290 ± 0.005 | 0.261 ± 0.010 | 0.252 ± 0.013 | 0.256 ± 0.012 | 0.324 ± 0.016 | 0.271 ± 0.012 | 0.318 ± 0.011 | 0.289 ± 0.010 | 0.288 ± 0.013 | 0.298 ± 0.016 |
Total lung weight (% of body weight) | 1.182 ± 0.033† | 1.326 ± 0.070 | 1.121 ± 0.018† | 1.231 ± 0.035 | 1.274 ± 0.050† | 1.297 ± 0.061 | 1.257 ± 0.080 | 1.247 ± 0.057 | 1.154 ± 0.038 | 1.284 ± 0.029 | 1.282 ± 0.047 | 1.282 ± 0.066 |
* denotes P<0.05 compared with KO and † denotes P<0.05 compared with females. Data are presented as mean ± SEM. Het, heterogenous; KO, knockout; WAT, white adipose tissue; WT, wild-type.
At 8 weeks of age, female KO mice had a greater body weight than female WT mice (P=0.039, Figure 3B). Despite no differences in female snout-vent length and abdominal circumference between genotypes (P>0.05), female KO had a greater absolute WAT and relative WAT weights (P<0.001, Table 3) than both female WT and Het mice, i.e., KO female mice had developed increased body adiposity. Within males, WT and Het mice were greater in body weight and abdominal circumference than KO mice (P<0.001, Figure 3B), with a greater snout-vent length in Het compared with KO mice (P<0.001, Table 2). However, there were no genotypic differences in absolute or relative WAT weights between males (P>0.05, Table 3). Both absolute (P=0.001) and relative (P<0.001) WAT weights were greater in female KO than male KO mice. Absolute (genotype, P=0.727; sex, P=0.052) and relative (genotype, P=0.605; sex, P=0.439) lung weights were comparable between mice (Table 3).
Compared with female counterparts, at 6 weeks of age WT and Het males had a greater body weight (P<0.001, Figure 3A). Generally, males had a greater abdominal circumference (P=0.001, Table 2), absolute WAT (P<0.001) and relative WAT weights (P=0.040) than females (Table 3). While absolute lung weight was comparable between sexes (P=0.158), females had a greater relative lung weight than males (P=0.043, Table 3). When looking at differences between sexes at 8 weeks of age, compared with WT and Het females, male counterparts had a greater body weight (P<0.001, Figure 3B) and snout-vent length (P<0.05, Table 2) with a greater abdominal circumference in male WT than female WT (P<0.001, Table 2).
Lung function
At 6 weeks of age, Raw (Figure 4A,B), G (Figure 4C,D) and H (Figure 4E,F) before and after MCh challenge were comparable between genotypes (P>0.05). There were no genotypic differences in ΔRaw (P=0.051), ΔG (P=0.676) or ΔH (P=0.263) in response to MCh challenge. Similarly, at 8 weeks of age, there were no genotypic differences in Raw (Figure 5A,B), G (Figure 5C,D) or H (Figure 5E,F) before or after MCh challenge (P>0.05), nor were there genotypic differences in ΔRaw (P=0.779), ΔG (P=0.950) or ΔH (P=0.579) to MCh. Sex differences at 6 weeks of age showed that female mice had greater G after MCh than males (P=0.040, Figure 4D), but this was not observed in Raw (P=0.569, Figure 4B) or H (P=0.175, Figure 4F) after MCh. Females had a greater ΔG (P=0.007) and ΔH (P=0.017) than males, but both sexes had a similar ΔRaw (P=0.415). By 8 weeks of age, females had a higher Raw before MCh (P=0.020, Figure 5A) and ΔH (P=0.034) than males. There were no differences in ΔRaw (P=0.463) and ΔG (P=0.128) between males and females.
Lung function at 6 weeks of age
Lung function at 8 weeks of age
Females had a greater Δ lung volume relative to body weight than males but there were no differences between genotypes (WT males [n=10], 0.018 ± 0.001 ml/g; WT females [n=10], 0.020 ± 0.001 ml/g; Het males [n=10], 0.017 ± 0.002 ml/g; Het females [n=10], 0.022 ± 0.001 ml/g; KO males [n=10], 0.018 ± 0.002 ml/g; KO females [n=10], 0.020 ± 0.001 ml/g; genotype, P=0.859; sex, P=0.006). The relative Δ lung volume was greater in KO males compared with WT and Het males (P=0.009), which is likely driven by the reduced body weight of KO males. Female WT and Het had a greater relative Δ lung volume than male counterparts (P<0.05; WT males, 0.018 ± 0.001 ml/g; WT females, 0.023 ± 0.001 ml/g; Het males, 0.019 ± 0.002 ml/g; Het females, 0.024 ± 0.001 ml/g; KO males, 0.024 ± 0.001 ml/g; KO females, 0.021 ± 0.001 ml/g).
Airway-associated adipose tissue
Airway-associated adipose tissue was typically observed in central airways (∼96%) and was less prevalent in peripheral airways (∼32%) at 6 weeks of age. Unlike body adiposity, KO mice at 6 weeks of age had ∼53% more airway-associated adipose tissue (Figure 6A,B) compared with WT mice (P=0.034) but contained a similar amount to Het mice (P>0.05, Figure 6C). There was no independent effect of sex on airway-associated adipose tissue (P=0.770).
Airway-associated adipose tissue
At 8 weeks of age, airway-associated adipose tissue was present in most centrally located airways (∼98%) but also became more prevalent in peripheral airways (∼62%). Again, KO mice had a greater accumulation of airway-associated adipose tissue in central airways than WT mice (P=0.026, Figure 6D), but not compared with Het mice (P=0.471). Females had a greater airway adiposity than males (P=0.013, Figure 6D). When compared with mice at 6 weeks of age, mice at 8 weeks of age had greater airway-associated adipose tissue in central airways, which was consistently increased in KO than WT mice (age, P=0.013; genotype, P=0.002; sex, P=0.242). Given that over a third of peripheral airways did not contain airway-associated adipose tissue, statistical analyses could not be conducted at 6 or 8 weeks of age.
Airway wall structure
At 6 weeks of age, WT mice had greater WAo in peripheral airways than KO mice (P=0.032), but there was no effect of genotype on other airway wall structures (P>0.05, Table 5). By 8 weeks of age, ASM layer thickness was greater in peripheral airways of female KO compared with female Het mice (P=0.005, Table 5), but this was not observed in central airways (P=0.125). At 8 weeks of age, there was also an increase in WAi of peripheral airways in KO mice compared with WT mice (P=0.026).
When looking at the effect of sex at 6 weeks of age, males had a greater ASM layer thickness than females in central (P=0.022) and peripheral airways (P=0.005), driving differences observed in WAi (P<0.05, Table 4). Epithelial area in central airways was greater in males than females (P=0.048), but there were no sex differences in Pbm (P=0.175), WAo (P=0.675) or WAt (P=0.375). In peripheral airways, WAo was greater in males compared with females (P=0.040, Table 4). Males also had a greater WAt (P=0.003) than females, with no sex differences in Pbm (P=0.111) or epithelial area (P=0.124) in peripheral airways. By 8 weeks of age, females had a greater WAo in central airways than males (P=0.043, Table 5). Males had a greater epithelial area in central airways (P=0.048) and WAt in peripheral airways (P=0.003) than females (Table 5). There were no sex differences in central airway Pbm (P=0.563), epithelial area (P=0.789), ASM (P=0.105), WAi (P=0.096) or WAt (P=0.529, Table 5). Again, the peripheral airways of mice at 8 weeks of age were comparable between sex for structural measurements of Pbm (P=0.669), epithelial area (P=0.752), WAo (P=0.287) and WAt (P=0.602, Table 5).
. | Central airways . | Peripheral airways . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Structure . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . |
Pbm (mm) | 1.727 ± 0.088 | 1.925 ± 0.108 | 1.740 ± 0.074 | 1.740 ± 0.122 | 1.664 ± 0.102 | 1.790 ± 0.066 | 0.762 ± 0.055 | 0.859 ± 0.096 | 0.714 ± 0.076 | 0.749 ± 0.079 | 0.588 ± 0.026 | 0.764 ± 0.072 |
Epithelium (√area/Pbm) | 0.100 ± 0.007† | 0.088 ± 0.005 | 0.092 ± 0.003† | 0.091 ± 0.005 | 0.096 ± 0.004† | 0.090 ± 0.002 | 0.133 ± 0.006 | 0.128 ± 0.005 | 0.138 ± 0.006 | 0.135 ± 0.006 | 0.145 ± 0.003 | 0.133 ± 0.004 |
ASM (√area/Pbm) | 0.068 ± 0.004† | 0.061 ± 0.002 | 0.068 ± 0.003† | 0.066 ± 0.003 | 0.071 ± 0.003† | 0.063 ± 0.002 | 0.079 ± 0.005† | 0.065 ± 0.003 | 0.079 ± 0.005† | 0.079 ± 0.004 | 0.079 ± 0.005† | 0.067 ± 0.002 |
WAi (√area/Pbm) | 0.072 ± 0.004† | 0.065 ± 0.002 | 0.072 ± 0.003† | 0.070 ± 0.004 | 0.075 ± 0.003† | 0.068 ± 0.002 | 0.082 ± 0.005† | 0.069 ± 0.002 | 0.084 ± 0.005† | 0.080 ± 0.004 | 0.084 ± 0.005† | 0.073 ± 0.002 |
WAo (√area/Pbm) | 0.075 ± 0.005 | 0.073 ± 0.004 | 0.069 ± 0.003 | 0.077 ± 0.004 | 0.080 ± 0.003 | 0.078 ± 0.004 | 0.085 ± 0.004*† | 0.080 ± 0.003* | 0.086 ± 0.003† | 0.086 ± 0.004 | 0.097 ± 0.003† | 0.085 ± 0.002 |
WAt (√area/Pbm) | 0.106 ± 0.005 | 0.098 ± 0.004 | 0.100 ± 0.003 | 0.105 ± 0.005 | 0.111 ± 0.003 | 0.104 ± 0.003 | 0.119 ± 0.005† | 0.106 ± 0.003 | 0.120 ± 0.005† | 0.119 ± 0.003 | 0.129 ± 0.005† | 0.113 ± 0.002 |
. | Central airways . | Peripheral airways . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Structure . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . |
Pbm (mm) | 1.727 ± 0.088 | 1.925 ± 0.108 | 1.740 ± 0.074 | 1.740 ± 0.122 | 1.664 ± 0.102 | 1.790 ± 0.066 | 0.762 ± 0.055 | 0.859 ± 0.096 | 0.714 ± 0.076 | 0.749 ± 0.079 | 0.588 ± 0.026 | 0.764 ± 0.072 |
Epithelium (√area/Pbm) | 0.100 ± 0.007† | 0.088 ± 0.005 | 0.092 ± 0.003† | 0.091 ± 0.005 | 0.096 ± 0.004† | 0.090 ± 0.002 | 0.133 ± 0.006 | 0.128 ± 0.005 | 0.138 ± 0.006 | 0.135 ± 0.006 | 0.145 ± 0.003 | 0.133 ± 0.004 |
ASM (√area/Pbm) | 0.068 ± 0.004† | 0.061 ± 0.002 | 0.068 ± 0.003† | 0.066 ± 0.003 | 0.071 ± 0.003† | 0.063 ± 0.002 | 0.079 ± 0.005† | 0.065 ± 0.003 | 0.079 ± 0.005† | 0.079 ± 0.004 | 0.079 ± 0.005† | 0.067 ± 0.002 |
WAi (√area/Pbm) | 0.072 ± 0.004† | 0.065 ± 0.002 | 0.072 ± 0.003† | 0.070 ± 0.004 | 0.075 ± 0.003† | 0.068 ± 0.002 | 0.082 ± 0.005† | 0.069 ± 0.002 | 0.084 ± 0.005† | 0.080 ± 0.004 | 0.084 ± 0.005† | 0.073 ± 0.002 |
WAo (√area/Pbm) | 0.075 ± 0.005 | 0.073 ± 0.004 | 0.069 ± 0.003 | 0.077 ± 0.004 | 0.080 ± 0.003 | 0.078 ± 0.004 | 0.085 ± 0.004*† | 0.080 ± 0.003* | 0.086 ± 0.003† | 0.086 ± 0.004 | 0.097 ± 0.003† | 0.085 ± 0.002 |
WAt (√area/Pbm) | 0.106 ± 0.005 | 0.098 ± 0.004 | 0.100 ± 0.003 | 0.105 ± 0.005 | 0.111 ± 0.003 | 0.104 ± 0.003 | 0.119 ± 0.005† | 0.106 ± 0.003 | 0.120 ± 0.005† | 0.119 ± 0.003 | 0.129 ± 0.005† | 0.113 ± 0.002 |
* denotes P<0.05 compared with KO and † denotes P<0.05 compared with females. Data are presented as mean ± SEM. ASM, airway smooth muscle; Het, heterozygous; KO, knockout; Pbm, perimeter of the basement membrane; WAi, inner wall area; WAo, outer wall area; WAt, total wall area; WT, wild-type.
. | Central airways . | Peripheral airways . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Structure . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . |
Pbm (mm) | 1.847 ± 0.098 | 1.946 ± 0.048 | 1.961 ± 0.089 | 1.879 ± 0.076 | 1.896 ± 0.064 | 1.939 ± 0.060 | 0.788 ± 0.076 | 0.811 ± 0.085 | 0.862 ± 0.097 | 0.852 ± 0.069 | 0.793 ± 0.051 | 0.850 ± 0.076 |
Epithelium (√area/Pbm) | 0.095 ± 0.005 | 0.088 ± 0.005 | 0.095 ± 0003 | 0.098 ± 0.005 | 0.089 ± 0.002 | 0.090 ± 0.003 | 0.138 ± 0.004 | 0.133 ± 0.005 | 0.133 ± 0.007 | 0.131 ± 0.006 | 0.132 ± 0.004 | 0.134 ± 0.008 |
ASM (√area/Pbm) | 0.065 ± 0.001 | 0.061 ± 0.001 | 0.065 ± 0.002 | 0.063 ± 0.002 | 0.067 ± 0.001 | 0.066 ± 0.002 | 0.067 ± 0.002 | 0.069 ± 0.003 | 0.072 ± 0.003† | 0.063 ± 0.002* | 0.074 ± 0.002 | 0.075 ± 0.003 |
WAi (√area/Pbm) | 0.071 ± 0.002 | 0.066 ± 0.001 | 0.070 ± 0.002 | 0.068 ± 0.002 | 0.071 ± 0.001 | 0.070 ± 0.002 | 0.072 ± 0.002* | 0.074 ± 0.003* | 0.078 ± 0.003 | 0.071 ± 0.003 | 0.080 ± 0.002 | 0.081 ± 0.003 |
WAo (√area/Pbm) | 0.080 ± 0.003† | 0.081 ± 0.002 | 0.079 ± 0.002† | 0.088 ± 0.002 | 0.080 ± 0.003† | 0.081 ± 0.002 | 0.082 ± 0.003 | 0.082 ± 0.003 | 0.081 ± 0.004 | 0.083 ± 0.004 | 0.079 ± 0.003 | 0.085 ± 0.003 |
WAt (√area/Pbm) | 0.107 ± 0.003 | 0.105 ± 0.002 | 0.105 ± 0.003 | 0.111 ± 0.003 | 0.108 ± 0.002 | 0.108 ± 0.002 | 0.109 ± 0.003 | 0.111 ± 0.004 | 0.113 ± 0.004 | 0.110 ± 0.003 | 0.113 ± 0.002 | 0.117 ± 0.004 |
. | Central airways . | Peripheral airways . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
. | WT . | Het . | KO . | WT . | Het . | KO . | ||||||
Structure . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . | Male (n=10) . | Female (n=10) . |
Pbm (mm) | 1.847 ± 0.098 | 1.946 ± 0.048 | 1.961 ± 0.089 | 1.879 ± 0.076 | 1.896 ± 0.064 | 1.939 ± 0.060 | 0.788 ± 0.076 | 0.811 ± 0.085 | 0.862 ± 0.097 | 0.852 ± 0.069 | 0.793 ± 0.051 | 0.850 ± 0.076 |
Epithelium (√area/Pbm) | 0.095 ± 0.005 | 0.088 ± 0.005 | 0.095 ± 0003 | 0.098 ± 0.005 | 0.089 ± 0.002 | 0.090 ± 0.003 | 0.138 ± 0.004 | 0.133 ± 0.005 | 0.133 ± 0.007 | 0.131 ± 0.006 | 0.132 ± 0.004 | 0.134 ± 0.008 |
ASM (√area/Pbm) | 0.065 ± 0.001 | 0.061 ± 0.001 | 0.065 ± 0.002 | 0.063 ± 0.002 | 0.067 ± 0.001 | 0.066 ± 0.002 | 0.067 ± 0.002 | 0.069 ± 0.003 | 0.072 ± 0.003† | 0.063 ± 0.002* | 0.074 ± 0.002 | 0.075 ± 0.003 |
WAi (√area/Pbm) | 0.071 ± 0.002 | 0.066 ± 0.001 | 0.070 ± 0.002 | 0.068 ± 0.002 | 0.071 ± 0.001 | 0.070 ± 0.002 | 0.072 ± 0.002* | 0.074 ± 0.003* | 0.078 ± 0.003 | 0.071 ± 0.003 | 0.080 ± 0.002 | 0.081 ± 0.003 |
WAo (√area/Pbm) | 0.080 ± 0.003† | 0.081 ± 0.002 | 0.079 ± 0.002† | 0.088 ± 0.002 | 0.080 ± 0.003† | 0.081 ± 0.002 | 0.082 ± 0.003 | 0.082 ± 0.003 | 0.081 ± 0.004 | 0.083 ± 0.004 | 0.079 ± 0.003 | 0.085 ± 0.003 |
WAt (√area/Pbm) | 0.107 ± 0.003 | 0.105 ± 0.002 | 0.105 ± 0.003 | 0.111 ± 0.003 | 0.108 ± 0.002 | 0.108 ± 0.002 | 0.109 ± 0.003 | 0.111 ± 0.004 | 0.113 ± 0.004 | 0.110 ± 0.003 | 0.113 ± 0.002 | 0.117 ± 0.004 |
* denotes P<0.05 compared with KO and † denotes P<0.05 compared with females. Data are presented as mean ± SEM. ASM, airway smooth muscle; Het, heterozygous; KO, knockout; Pbm, perimeter of the basement membrane; WAi, inner wall area; WAo, outer wall area; WAt, total wall area; WT, wild-type.
Glucose tolerance
There were no genotypic differences in fasting basal glucose concentrations at either 6 (P=0.185, Figure 7A) or 8 weeks of age (P=0.807, Figure 7B). Comparison of glucose tolerance showed no genotypic differences between groups at 6 (P=0.974, Figure 7A,C) or 8 weeks of age (P=0.271, Figure 7B,D). At 6 weeks of age, males had a higher basal glucose than females (P<0.001, Figure 7A) and at both time points, males displayed an impaired glucose tolerance compared with females (sex, P<0.05, Figure 7C,D).
Blood glucose before and after glucose tolerance testing
Total inflammatory cell counts within BAL fluid
At 6 weeks of age, total inflammatory cell counts from BAL fluid did not vary between genotypes or sex (genotype, P=0.440; sex, P=0.293; Figure 8A). Similarly, there were no genotypic or sex differences in total inflammatory cell counts within the BAL fluid at 8 weeks of age (genotype, P=0.256; sex, P=0.286; Figure 8B).
Total cell counts in BAL fluid
Metabolic profile
Plasma biomarker levels (C-peptide, gastric inhibitory peptide, glucagon, insulin, leptin, and peptide YY) were comparable between genotypes (genotype P>0.05; sex, P>0.05; Table 6). Plasma resistin was similar between genotypes but higher in females than males (genotype, P=0.711; sex, P=0.018; Table 6).
. | WT . | Het . | KO . | |||
---|---|---|---|---|---|---|
Plasma biomarkers (pg/µl) . | Male (n=4) . | Female (n=5) . | Male (n=3) . | Female (n=5) . | Male (n=3) . | Female (n=3) . |
C-peptide | 483 ± 121 | 807 ± 151 | 665 ± 135 | 685 ± 151 | 562 ± 108 | 693 ± 162 |
Insulin | 1312 ± 195 | 1668 ± 318 | 1697 ± 271 | 1287 ± 349 | 1168 ± 177 | 1504 ± 206 |
Gastric inhibitory polypeptide | 105 ± 17 | 153 ± 75 | 153 ± 24 | 155 ± 46 | 120 ± 12 | 108 ± 29 |
Glucagon | 267 ± 60 | 265 ± 86 | 169 ± 85 | 196 ± 35 | 226 ± 73 | 180 ± 47 |
Leptin | 896 ± 292 | 2042 ± 558 | 1055 ± 163 | 2087 ± 283 | 1949 ± 1249 | 1399 ± 79 |
Peptide YY | 37 ± 13 | 39 ± 24 | 8 ± 8 | 79 ± 39 | 18 ± 13 | 47 ± 13 |
Resistin | 26908 ± 1868† | 37503 ± 2467 | 25725 ± 1728† | 34591 ± 2451 | 32794 ± 4122† | 30133 ± 1655 |
. | WT . | Het . | KO . | |||
---|---|---|---|---|---|---|
Plasma biomarkers (pg/µl) . | Male (n=4) . | Female (n=5) . | Male (n=3) . | Female (n=5) . | Male (n=3) . | Female (n=3) . |
C-peptide | 483 ± 121 | 807 ± 151 | 665 ± 135 | 685 ± 151 | 562 ± 108 | 693 ± 162 |
Insulin | 1312 ± 195 | 1668 ± 318 | 1697 ± 271 | 1287 ± 349 | 1168 ± 177 | 1504 ± 206 |
Gastric inhibitory polypeptide | 105 ± 17 | 153 ± 75 | 153 ± 24 | 155 ± 46 | 120 ± 12 | 108 ± 29 |
Glucagon | 267 ± 60 | 265 ± 86 | 169 ± 85 | 196 ± 35 | 226 ± 73 | 180 ± 47 |
Leptin | 896 ± 292 | 2042 ± 558 | 1055 ± 163 | 2087 ± 283 | 1949 ± 1249 | 1399 ± 79 |
Peptide YY | 37 ± 13 | 39 ± 24 | 8 ± 8 | 79 ± 39 | 18 ± 13 | 47 ± 13 |
Resistin | 26908 ± 1868† | 37503 ± 2467 | 25725 ± 1728† | 34591 ± 2451 | 32794 ± 4122† | 30133 ± 1655 |
† denotes P<0.05 compared with females. Data are presented as mean ± SEM. Het, heterozygous; KO, knockout; WT, wild-type.
Discussion
Airway-associated adipose tissue is metabolically active and its accumulation in overweight/obese subjects is correlated with wall thickness [3,4]. However, the genetic origin of airway-associated adipose tissue and its mechanistic role in airway remodelling and lung function impairment is unclear. After identifying Kiss1/Kiss1r signalling as a potential candidate for fatty airway remodelling, we investigated the role of Kiss1/Kiss1r signalling on airway adiposity and any associated pathophysiology using a KO mouse model. We found that the lack of Kiss1/Kiss1r signalling leads to the independent accumulation of airway-associated adipose tissue in the absence of body adiposity in prepubescent mice, indicating that airway adiposity has a strong genetic component. In adult Kiss1r KO mice, airway-associated adipose tissue continued to expand without affecting airway inflammation or lung function, which suggests that airway adiposity alone does not drive pathology but may instead integrate with existing disease or environmental factors in the context of comorbid asthma-obesity.
We demonstrate that Kiss1 and Kiss1r genes are expressed within homogenised lung tissue from mice, consistent with findings on mouse ASM isolated after laser capture microdissection [19]. Expression of Kiss1 was similar across genotypes and Kiss1r was only expressed in WT and Het mice, validating the use of the Kiss1r KO mouse model. After thorough examination on glucose handling there was no evidence of a diabetic condition which is observed in older (>10 weeks of age) Kiss1r KO mice [11,13]. Notably, diabetes is independently associated with asthma [20,21] and should be considered when examining the effects of obesity. Present results were, however, not affected by the confounding effects of diabetes in obesity.
At 6 weeks of age (prepubescence), we observed an increase in airway-associated adipose tissue in KO mice despite a lack of genotypic differences in body adiposity, glucose tolerance and systemic inflammation, as indicated by plasma biomarkers. These data support a new mechanism for airway-associated adipose tissue accumulation due to a genetic driver that is not affected by metabolic profile. The current observations differ from the relationship documented in our clinical study, where airway adiposity was associated with BMI [3]; although based on a relatively modest coefficient of determination, it was clear there were other contributing factors. Airway-associated adipose tissue is therefore at least partly decoupled from body adiposity. Similar to prepubescent KO mice, young adult KO mice demonstrated an increased accumulation of airway-associated adipose tissue with a greater proportion of both central and peripheral airways containing adipose tissue deposits. Female KO mice also displayed greater body weight and WAT deposition, which could give the false impression that body adiposity is contemporaneously related to airway-associated adipose tissue. Clearly, airway-associated adipose tissue expansion manifested differently and began accumulating before the increase in body adiposity.
The severity of obesity in young adult KO mice can be considered relatively mild in comparison with other models. Caloric overconsumption can increase body weight by up to ∼30% within 20 weeks of feeding compared with control counterparts [22]. Mice fed a high-fat diet achieved an average body weight of 43 g at 22 weeks of age, which increased to 50 g by 30 weeks of age [23]. In our study, female KO mice at 8 weeks of age had an average body weight of 23 g, representing a ∼7% increase in size over WT mice. Prior metabolic studies using this model show that by 20 weeks of age, female KO mice are ∼32% larger than WT counterparts [13].
Increased airway adiposity may exacerbate inflammation through release of pro-inflammatory adipokines [4]. However, there was no increase in inflammatory cells within the BAL fluid of mice expressing greater airway-associated adipose tissue content. We have demonstrated that airway-associated adipose tissue accumulation alone is not sufficient to stimulate infiltration of immune cells within the airway wall. Previous findings describe the positive association between airway-associated adipose tissue accumulation and neutrophilic airway inflammation in control and non-fatal subjects with asthma, and eosinophilic inflammation in subjects who died of asthma [3]. The immune response in comorbid asthma-obesity is notoriously heterogenous where obese patients with asthma are further categorised into phenotypes depending on the degree of atopy [24]. Superimposing allergy [25] onto our genetic model of obesity may lead to an infiltration of immune cells and upregulation of inflammatory pathways.
There was some indication of a change in airway wall structure in young adult female KO mice who had a greater ASM layer thickness (∼10%) in peripheral airways compared with female Het mice, with an increase in WAi (which includes the ASM layer) only observed when compared with WT. Remodelling of ASM varies within and between patients with asthma, with a relatively small number of cases (<20%) identified as having ASM remodelling in only peripheral airways [26]. There is, however, emerging data to support a link between Kiss1r biology and ASM remodelling [7]. Expression of Kiss1r is reduced in ASM from asthmatic subjects compared with non-asthmatic subjects, and in cell culture Kiss1r antagonism increases ASM proliferation [7]. In an allergic mouse model, intranasal instillation of Kiss1 reduced ASM thickness [19]. The interrelationship between Kiss1/Kiss1r signalling, airway-associated adipose tissue accumulation and ASM remodelling is an area of research that should receive greater focus in the future.
Any change in lung function between genotypes may reflect differences in body weight, airway-associated adipose tissue, ASM layer thickness or other biological factors developed as a result of genetic manipulation. Given the modest change in body weight, functional assessment was unlikely to be affected by compression of the chest by fat deposition or induction of systemic/airway inflammation through adipokine release [27,28]. Remodelling of the ASM layer was relatively mild, peripherally limited and was not accompanied by any change in bronchoconstrictor response. The most prominent change was the ∼50% increase in airway-associated adipose tissue in Kiss1r KO mice; despite this substantial change in airway adiposity there was no simultaneous effect on baseline or post-bronchial challenge Raw, G or H. These data suggest that airway-associated adipose tissue expansion alone, at least up until young adulthood, does not directly impair lung function and may instead act as a contributing factor to disease severity, in much the same way as proposed interactive effects of inflammation and remodelling [14], or generalised body fat in a patient with asthma.
Airway-associated adipose tissue was expanded in both male and female KO mice, in contrast to WAT, which was only increased in adult female KO. That is, between KO mice, airway-associated adipose tissue relative to body adiposity is higher in males than in females, in broad agreement with clinical findings where airway-associated adipose tissue was greater in males than females at a given BMI [3]. Female sex hormones, particularly oestrogen, have been shown to play a protective role in reducing the deposition and inflammatory phenotype of adipose tissue [29,30]. For example, reduced oestrogen production in ovariectomised female mice increases the accumulation of body adiposity compared with intact littermates [13]. The same sex hormone also impacts the functional behaviour and/or structure of the airway; activation of oestrogen receptors in mice reduces mixed allergen-induced bronchoconstriction and remodelling, specifically collagen and α-smooth muscle actin expression [31]. With the above in mind, the literature supports an interesting interaction between sex, obesity, and lung disease, although despite differences in both body and airway adiposity relative to body weight, in the present study there was no effect of sex on other airway wall dimensions, or on lung mechanics.
Sex differences independent of Kiss1/Kiss1r signalling are also noted. Irrespective of genotype, prepubertal male mice had greater abdominal circumference and adiposity, accompanied by an impaired glucose tolerance, consistent with previous findings [32]. However, while such abnormalities in metabolic function are typically accompanied by inflammatory changes [33], there was no such evidence in prepubertal male mice. Instead, serum resistin (a pro-inflammatory adipokine) was elevated in females compared with males, with no changes to airway inflammation. Despite an increase in ΔG and ΔH, females did not demonstrate bronchoconstrictor response to MCh. Prepubertal males had a greater ASM thickness throughout the lung than females, which did not affect lung function. The above differences between males and females were transient; by 8 weeks of age, airway structure, adiposity and lung function for the most part were comparable.
Does Kiss1/Kiss1r signalling within adipose tissue modify airway adiposity? While expression of Kiss1 and Kiss1r in WAT has been established [34], the specific pathways modulating local lipid metabolism are unknown. Activation of Kiss1/Kiss1r signalling in mature adipocytes increases lipolysis and impairs both differentiation and adipogenesis in preadipocytes [35]. Expression of Kiss1 and Kiss1r is reduced in WAT from obese mice compared with healthy weight counterparts and is restored by weight loss [36]. In rats fed a high-fat diet, there was a reduction in Kiss1 expression within WAT [34], suggesting that diet-induced obesity may disrupt Kiss1/Kiss1r signalling. Together these findings support abnormalities in Kiss1/Kiss1r signalling and subsequent changes to lipolysis and adipogenesis as one possible driver of airway adiposity.
To conclude, we have demonstrated that airway-associated adipose tissue can accumulate in the absence of body adiposity and identified Kiss1/Kiss1r signalling as a genetic origin. We previously hypothesized that airway-associated adipose tissue may impact airway structure–function in comorbid asthma-obesity [37]; the present study re-emphasizes airway-associated adipose tissue as another feature of airway remodelling that may become important in later life with inevitable exposure to environmental triggers. The full life impact of airway-associated adipose tissue should continue to be examined as well as potential therapies beyond weight loss that may optimize respiratory health.
Clinical perspectives
Airway-associated adipose tissue has been shown to accumulate with BMI and may contribute to greater asthma severity in obese patients. Whether airway adiposity has a genetic predisposition and how it impacts airway structure–function and inflammation is unknown.
The Kiss1/Kiss1r signalling pathway is a genetic origin for airway adiposity. Airway-associated adipose tissue can accumulate independent of body adiposity.
Findings emphasise airway-associated adipose tissue expansion as another feature of airway remodelling. Targeting airway-associated adipose tissue in patients where it is abundant may be effective in improving respiratory function that has been compromised by environmental exposures.
Data Availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Competing Interests
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding
C.J.W. is supported by the Australian Government – Research Training Program Stipend and Research Training Program Fees Offset. K.C.W.W. is supported by the Western Australian Department of Health – Merit Award, Medical and Health Research Infrastructure Fund Grant, and Near-Miss Award. This work has been supported by the Western Australian Future Health Research and Innovation Fund, which is an initiative of the Western Australian State Government, and the Peter Van Asperen Career Development Grant, an initiative from Asthma Australia.
Open Access
Open access for this article was enabled by the participation of The University of Western Australia in an all-inclusive Read & Publish agreement with Portland Press and the Biochemical Society under a transformative agreement with CAUL.
CRediT Author Contribution
Carolyn J. Wang: Conceptualization, Formal analysis, Funding acquisition, Investigation, Visualization, Methodology, Writing—original draft, Project administration, Writing—review & editing. Jeremy T. Smith: Resources, Formal analysis, Supervision, Methodology, Writing—review & editing. David Lu: Investigation, Writing—review & editing. Peter B. Noble: Conceptualization, Formal analysis, Supervision, Investigation, Methodology, Writing—original draft, Writing—review & editing. Kimberley C.W. Wang: Conceptualization, Resources, Formal analysis, Supervision, Funding acquisition, Investigation, Visualization, Methodology, Writing—original draft, Project administration, Writing—review & editing.
Acknowledgements
We would like to thank Dr Shelley Gorman for training us on performing glucose tolerance testing in mice. We also thank Dr Rachael Crew for her assistance in running the immunoassay for plasma biomarkers. Thank you to Dr Peter Mark for his insight with designing the Kiss1r primer for qPCR. Finally, we thank Dr Song Zhang for her advice in the qPCR analysis.
Abbreviations
- ASM
airway smooth muscle
- AUC
area under the curve
- BAL
bronchoalveolar lavage
- BMI
body mass index
- G
airway tissue damping
- H
airway tissue elastance
- H&E
hematoxylin and eosin
- Het
hetereozygous
- Kiss1
kisspeptin
- Kiss1r
kisspeptin receptor
- KO
knockout
- MCh
methacholine
- Pbm
perimeter of the basement membrane
- PPIA
peptidylprolyl isomerase A
- qPCR
quantitative real-time PCR
- Raw
airway resistance
- SDHA
succinate dehydrogenase
- TBP
TATA-binding protein
- WAi
inner wall area
- WAo
outer wall area
- WAT
white adipose tissue
- WAt
total wall area
- WT
wild-type