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. 2020 Oct 27;10:18368. doi: 10.1038/s41598-020-75414-w

High-fat diet-induced obesity affects alpha 7 nicotine acetylcholine receptor expressions in mouse lung myeloid cells

Yong Qi 1,, Dan Si 1,2, Li Zhu 1, Yanan Qi 1, Zhuhua Wu 1, Dan Chen 1,3, Yunlei Yang 3,4,5,6,
PMCID: PMC7592050  PMID: 33110180

Abstract

Ample evidence indicates that obesity causes dysfunctions in the lung. Previous studies also show that cholinergic anti-inflammatory pathways play crucial roles in obesity-induced chronic inflammation via α7 nicotinic acetylcholine receptor (α7nAChR) signaling. However, it remains unclear whether and how obesity affects the expressions of α7nAChR in myeloid cells in the lung. To address this question, we treated regular chow diet-fed mice or high-fat diet induced obese mice with lipopolysaccharide (LPS) or vehicle via endotracheal injections. By using a multicolor flow cytometry approach to analyze and characterize differential cell subpopulations and α7nAChR expressions, we find no detectable α7nAChR in granulocytes, monocytes and alveolar macrophages, and low expression levels of α7nAChR were detected in interstitial macrophages. Interestingly, we find that a challenge with LPS treatment significantly increased expression levels of α7nAChR in monocytes, alveolar and interstitial macrophages. Meanwhile, we observed that the expression levels of α7nAChR in alveolar and interstitial macrophages in high-fat diet induced obese mice were lower than regular chow diet-fed mice challenged by the LPS. Together, our findings indicate that obesity alters the expressions of α7nAChR in differential lung myeloid cells.

Subject terms: Cell biology, Cell biology, Cell biology, Medical research, Medical research

Introduction

The rates of obesity have been increasing worldwide1. According to epidemiological data, obesity is associated with adverse outcomes and increased morbidity2 including dysfunction in the lung disorders3. Previous studies also show that obesity increases the rates of mortality in conditions of aspiration pneumonia, bronchial asthma, chronic obstructive pulmonary disease, obstructive sleep apnea syndrome, acute lung injury and ARDS (acute/ adult respiratory distress syndrome)49. Emerging evidence also indicates that obesity may alter lung immune functions10,11. However, the involved molecular and cellular mechanisms remain unclear.

It is clear that obesity induces low-grade chronic inflammation (hereafter referred to as “metaflammation”) by increasing the release of pro-inflammatory cytokines, including tumor necrosis factor-α (TNF-α), leptin, and adipose tissue-derived resistin. Contrastingly, obesity reduces the levels of anti-inflammatory adipokines (i.e., adiponectin, omentin, SFRP5, vaspin, ZAG, and IL-10)12. Interestingly, low-grade chronic inflammation was predominantly involved in lung dysfunctions related to obesity. There is evidence to show that leukocytes in lung were increased in diet-induced obese (DIO) mice11. Monocyte chemotactic protein-1 (MCP-1) and TNF-α were also detected in lung tissue and bronchoalveolar lavage fluid13,14. Meanwhile, lipopolysaccharide (LPS) treatment induces changes in inflammatory-related gene expressions, and approximately half of the genes induced by LPS-stimulated lung inflammation were specific in DIO mice15. These results suggest that the metabolic phenotypes of obesity probably partake in the LPS-induced inflammation in lungs. Neuroimmune systems play an important role in the control of inflammation levels as the nervous and immune system interact with each other16. The cholinergic anti-inflammatory pathway (CAP) inhibits inflammation by suppressing cytokine synthesis via the release of acetylcholine (ACh) in reticuloendothelial systems including lung, spleen, liver, kidneys and gastrointestinal tract. Activation of α7nAChR in macrophages and other cytokine-producing cells inhibits proinflammatory cytokine synthesis, which is probably attributable to α7nAChR signaling in macrophages-induced suppression of TNF-α release and other proinflammatory cytokines pathway1721. Previous studies demonstrate that several lung cell populations express α7nAChR receptors2226 and α7nAChR are implicated in lung inflammation21,2527. For example, intra-tracheal administration of α7nAChR agonist 3-(2,4-dimethoxybenzylidene)-anabasine (GTS-21)21,25,26 reduced the inflammatory cytokines in the lung, and N-(3R)-1-azabicyclo[2,2,2]oct-3-yl-(4-chlorobenzamide) (PNU-282987, a specific agonist for α7nAChR) reduced alveolar exudation in acid-induced injured lungs. However, the mechanism by which the α7nAChR regulates obesity-induced lung inflammation remains unclear.

Rapid upregulation of α7nAChR by tyrosine dephosphorylation and co-expression of the gene hRIC3 (resistant to inhibitors of cholinesterase) produces a two-fold increase in α7 receptor function28,29. Previous gene chip data in the GEO database15 showed no apparent difference in total α7nAChR mRNA transcription levels of the lungs between regular weight and DIO mice; however, these studies did not analyze the changes in α7nAChR expressions in single-cell populations. We therefore set off to identify the lung cell populations expressing α7nAChR and define the associated alterations in high-fat diet-induced obese mice with and without LPS treatment. By applying multicolor flow cytometry approach, in this study we identified α7nAChR expressing populations, and determined the proportion of each population and α7nAChR alterations in obese lungs with or without LPS treatment.

Methods

Reagents

PE-CF594 rat anti-mouse CD24 (562477, 2.5:100), BB515 rat anti-mouse I-A/I-E (MHCII 565254, 1.25:100) and PE rat anti-mouse IgG1 κ isotype control (554685, 5:100) were purchased from the BD Bioscience company. PerCP-Cy5.5 rat anti-mouse CD45 (45-0451-82, 1:100), APC rat anti-mouse IgG2b κ isotype control (17-4031-82, 1.25:100) and APC rat anti-mouse CD206 (17-2061-82, 1.25:100) were purchased from eBioscience. The PE rat anti-mouse α7AChR (sc-58607PE, 5:100) was purchased from Santa Cruz. APC-Cy7 rat anti-mouse CD11b (101226, 2.5:100), PE-Cy7 hamster anti-mouse CD11c (117318, 1.25:100) , Brilliant Violet 421 rat anti-mouse CD86 (105032, 1:100) , Brilliant Violet 421 rat IgG2a κ isotype control (400536, 1:100) , APC rat anti-mouse CD24 (138506, 3.75:100) and Brilliant Violet 421 mouse anti-mouse CD64 (139309, 1:100) were purchased from the Biolegend. Lipid droplet dye, BODIPY™ 493/503 (D-3922, 1:200) was purchased from the Invitrogen. Rabbit anti-mouse CD68 antibody (BA3638, 1:100) was purchased from Boster. Rabbit anti-mouse F4/80 antibody (GB11027, 1:800) was purchased from Servicebio.

Animal treatment

Six-week-old male C57BL/6 J mice were purchased from Beijing Vital River Laboratory Animal Technology Co. Ltd. Mice were housed in climate-controlled areas (20–24 °C, 40–50% humidity, 12 h light/12 h dark cycle) and randomly divided into a regular chow diet (irradiated experimental pellet feed, Experimental Animal Center of Henan Province, 11% kcal fat) group (RCD) and a high-fat diet (Research Diets, D12492, 60% kcal fat) group (HFD). After 18 weeks, according to the weight standards of previous reports30,31, the mice were classified as obesity when their body weight were 20% more than the average weight of the RCD group; mice whose body weight did not reach the obesity standard in the HFD group and the body weight reached the obesity standard in the RCD group were excluded. (see Supplementary Fig. S1 online). All experiments were approved by the Ethics committee of the experimental animals of Zhengzhou University and the protocol was strictly aligned to the ethical guidelines of the experimental animals of Zhengzhou University.

Glucose tolerance test

Glucose tolerance test (GTT) was performed following 18 weeks of feeding with high-fat diet or regular chow diet in the two groups. The mice were fasted for 16 h32 and subsequently received intraperitoneal injections (i.p.) of glucose at a dose of 2 g/kg of body weight. The blood samples (25–50 μl) were collected from the tail of the mice immediately after the injection at 0, 30, 60, 90 and 120 min, respectively to determine the blood glucose levels. The procedure was performed by an Accu-Chek Performa II instrument (Roche, USA).

Induction of lung inflammation in mice

Direct endotracheal intubation techniques were used for intratracheal LPS instillation to establish a mouse model of acute lung inflammation25,33,34. Mice were anesthetized with pentobarbital, and suspended on a customized operating platform after anesthesia as a previously described method34. Mouse tongue was pulled out by a dental instrument to see the light leaking from the glottis of the mouse. When the glottis was open, a 22G venous indwelling needle cannula was inserted into the trachea, and 100 μg LPS (O55:B5, L2880, Sigma) with 30 μl saline was instilled in LPS treated groups. The control groups received the same dose of saline. Mice were finally divided into four groups (HFD + LPS, n = 10; HFD + vehicle, n = 8; RCD + LPS, n = 8; RCD + vehicle, n = 8). No mice that underwent the above procedure were dead before harvest. After 24 h of LPS or saline treatment, the mice were sacrificed and their lung tissues were harvested for subsequent procedures (see Supplementary Fig. S1 online).

Lung histology

Lung tissues were sampled and fixed in 4% paraformaldehyde for 72 h. Then sample was embedded in paraffin and 4 μm thick sections were prepared for sectioning. Then the lung tissues were stained with hematoxylin and eosin (HE staining) as previous protocol. For lung Oil red O staining, lung tissues were snap frozen in liquid nitrogen, embedded in OCT, and prepared fresh frozen sections. Then the lung sections were fixed by Universal Tissue Fixative and washed with distilled water, dried and stained with 0.3% Oil red O solution for 15 min. After washed and color separated, the sections were re-stained with hematoxylin for 1 min, rinsed with distilled water and subsequently washed with a glycerin-based sealant. All images were obtained using Pannoramic DESK section scan system (3D HISTECH, Hungary).

Immunofluorescence staining

Fresh frozen lung sections were rewarmed and slightly dried, and then incubated with BSA for 30 min to achieve the block effect, and then incubated with the Bodipy dye for 1 h. Then the sections were added with CD68 or F4/80 primary antibody and incubated overnight. Afterwards, washed 3 times with PBS and slightly dried, the sections were incubated with a secondary antibody for 50 min. Washed and dried again, then the sections were incubated with DAPI for 10 min. Finally, the lung sections were mounted with anti-fluorescent attenuation medium after the sections were rinsed with PBS. All images were obtained using Pannoramic DESK section scan system (3D HISTECH, Hungary).

To measure fluorescence signal intensity of the lipid deposition in macrophages in RCD and HFD mice with or without LPS treatment respectively, an image analysis method based on ImageJ software was used to quantify differences in the signal intensity of lipid particles in macrophages. Briefly, 10 images of field with 40 × magnification were randomly captured from each of the slice, then the images were first thresholded to eliminate background fluorescence. Selection zones were established by CD68+ or F4/80+ macrophages in each image. CD68+ or F4/80+ macrophages (n = 240 cells/12 slices/4 mice) were selected from each group and subsequently analyzed for the signal intensity of Bodipy-labeled lipid particles in selected macrophages. We normalized the signal intensity of Bodipy from average RCD mice for each group.

Flow cytometry analysis of lung myeloid population

Lung single-cell suspension was prepared according to previous protocol35. The single-cell suspension was diluted to 1 × 106 cells/100 μl with stain buffer in a flow cytometry stain tube. Then mixed antibody cocktails were carefully added to the lung single-cell suspension and vortexed to prepare the experimental groups, meanwhile, the isotype controls and negative controls were also prepared similarly. For intracellular stain of CD206, permeabilization was performed according to manufactures instruction. All procedures were performed in accordance with the product instructions. Each group of samples was analyzed with a FACS Aria flow cytometer (BD Company). We can collect around 100 α7nAChR+ cells without LPS challenge and around 2000 α7nAChR+ cells after LPS challenge for each sample by the method described above. Then the raw data were analyzed offline by the FlowJo v10 software.

Statistical analysis

The results were expressed as mean ± SD. Normality test was determined by Shapiro–Wilk. If the data wasn’t fit in normal distribution, then logarithmic transformation was performed. For repeated measured data such as body weight and blood glucose level, the ANOVA for repeated measured data were performed. For data with homogeneous variances, the post-hoc tests were done by LSD-t method; For data with heterogeneous variances, logarithmic transformation was performed. If the variances were homogeneous after the procedure, then the post-hoc tests were done by LSD-t method as above. If the variances were still heterogeneous, Welch method was used and the post-hoc tests were done by Games–Howell method. Required sample size was calculated via SPSS and G*Power software post hoc, the detailed calculation process was in supplemental materials. The differences were considered statistically significant if the P-value was lower than 0.05 (P < 0.05).

Results

Obesity-induced metabolic and morphological changes in Mouse Lungs

Mice fed a high-fat diet showed greater body weight gains than those fed regular chow (Fig. 1a). Glucose tolerance tests (GTTs) were subsequently performed, and we observed that the blood glucose levels of HFD group mice were higher than that of RCD group mice at 30, 60, 90 and 120 min post intraperitoneal (i.p.) injections of glucose (Fig. 1b), indicating metabolic phenotypes of diet-induced obesity.

Figure 1.

Figure 1

Development of obese mice phenotypes. (a) Body weight of the mice fed with high-fat diet (filled circles in red, n = 18) was significantly increased, in comparison to control mice fed with regular chow diet (filled circles in black, n = 16). (b) Fast blood glucose level and glucose tolerance were impaired in HFD mice (filled circles in red, n = 18) as compared to RCD mice (filled circles in black, n = 16). Detailed data can be seen in Supplementary Table S4, S5. ***P < 0.001 by ANOVA for repeated measured data, post-hoc Bonferroni method.

Oil red O staining of animal lung tissue showed that HFD mice had more lipid deposits than RCD mice in the lungs (Fig. 2a,b). LPS challenge significantly reduced the deposition of lipid droplets in the lungs collected from HFD mice (Fig. 2d). Further immunofluorescence staining indicated that part of the lipid particles existed in CD68+ macrophages and F4/80+ macrophages (Fig. 2i–p). Quantification analysis showed that more lipid particles accumulated in CD68+ and F4/80+ macrophages in HFD mice than RCD mice with or without LPS challenge (Fig. 2q,r), and the lipid particles decreased in CD68+ macrophages and F4/80+ macrophages in HFD mice after LPS challenge (Fig. 2q,r). There were few lipid particles in macrophages of RCD mice and no significant decrease after LPS stimulation. H&E staining on lung sections showed no obvious inflammatory infiltration in RCD (Fig. 2e) and HFD (Fig. 2f) mice without LPS treatment; however, LPS treatment induced inflammatory infiltration and thickening of alveolar walls in both RCD (Fig. 2g) and HFD mice (Fig. 2h). Consistently, our flow cytometry results showed that LPS treatment increased the amount of lung inflammatory exudation more in HFD mice than RCD mice (Fig. 3).

Figure 2.

Figure 2

Obesity-induced pathological changes in lungs. (a–d) Oil Red O staining of lung in RCD and HFD mice. Less fats accumulated in the lung tissue (arrows pointing) in RCD mice (a), RCD + LPS mice (c). A large quantity of lipid droplets (arrows pointing) were accumulated in lung tissue in HFD mice (b) and less fat deposits in HFD + LPS mice (d). (ad) scale bars represent 20 μm, the nuclei were re-stained blue with hematoxylin. (e–h) HE staining of lungs in RCD and HFD mice. HE staining of RCD mice 24 h after intratracheal administration of saline (e). HE staining of HFD mice 24 h after intratracheal administration of saline (f). HE staining of RCD mice 24 h after intratracheal administration of LPS (g). HE staining of HFD mice 24 h after intratracheal administration of LPS, arrows designate the alveolar inflammatory infiltration and alveolar wall thickening after LPS challenge (h). (e–h) scale bars represent 20 μm. (i–l) Lung immunofluorescence staining of CD68+ macrophages in RCD and HFD mice. CD68+ macrophages were stained red (arrow pointing). Lipid droplets were stained green (arrow head pointing) by Bodipy. Representative image of CD68+ macrophages observed in HFD (j) mice, the merged images showed the lipid droplets were located in the macrophages of the HFD mice (j) and the lipid droplets decreased in macrophages of HFD + LPS (l) mice. Representative images of CD68+ macrophages observed in RCD (i) and RCD + LPS (k) mice, the merged images indicated there were less lipid droplets in macrophages. (i–l) scale bars represent 10 μm. (m–p) Lung immunofluorescence staining of F4/80+ macrophages in RCD and HFD mice. F4/80+ macrophages were stained red (arrow pointing). Lipid droplets were stained green (arrow head pointing) by Bodipy. Representative image of F4/80+ macrophages were observed in HFD (n) mice, the merged images showed the lipid droplets located in the F4/80+ macrophages in HFD (n) mice and the lipid droplets decreased in macrophages of HFD + LPS (p) mice. Representative images of F4/80+ macrophages were observed in RCD (m), RCD + LPS (o) mice, the merged images indicated there were less lipid droplets in F4/80+ macrophages. (m–p) scale bars represent 10 μm. (q–r) Quantification analysis of lipid accumulation in each group (n = 240 cells/12 slices/4 mice for each group). Data were normalized to the averaged signal intensity from RCD mice for each group. (q) Lipid intensity in CD68+ macrophages, RCD: 1.0 ± 0.09; HFD: 2.44 ± 0.27; RCD + LPS: 0.97 ± 0.16; HFD + LPS: 1.57 ± 0.19. (r) Lipid intensity in F4/80+ macrophages, RCD: 1.0 ± 0.13; HFD: 2.17 ± 0.31; RCD + LPS: 0.95 ± 0.18; HFD + LPS: 1.27 ± 0.19. ***P < 0.001, significant differences between each group (ANOVA, LSD-t post hoc).

Figure 3.

Figure 3

Identification of myeloid cell populations in mouse lung tissues. The proportion of leukocyte (CD45+) was increased after stimulation of LPS. HFD mice have more CD45+ cells than RCD mice. Detailed statistical results can be seen in Supplementary Table S6. RCD group, n = 8; RCD + LPS group, n = 8; HFD group, n = 8; HFD + LPS group, n = 10. P < 0.001, HFD group comparing to RCD group; P < 0.001, RCD + LPS group comparing to RCD group; P < 0.001, HFD + LPS group comparing to HFD group; P < 0.001, HFD + LPS group comparing to RCD + LPS group. RCD, regular chow diet. HFD, high-fat diet. LPS, lipopolysaccharide. Data were presented as Mean ± SD. ***P < 0.001 by ANOVA after logarithmic transformation, post-hoc LSD-t method.

Identification of myeloid cell populations in mouse lung tissues

We next sought to define the myeloid cell populations in the inflammatory lung by utilizing a gating strategy modified according to published protocols36 (see Supplementary Fig. S2 online). The leukocytes were identified by using the surface marker CD45. In the CD45+ cell population, alveolar macrophages were identified as CD11b-CD11c+CD64+CD24- cells. Since nearly all CD11bCD11c+CD24 cells were CD64+, alveolar macrophages were identified as CD11bCD11c+CD24 in our simplified gating strategy. Monocytes were identified as CD11b+CD11c+/−CD64lowMHC-IICD24low or CD11b+CD11c+/−MHC-IICD24low. Granulocytes and interstitial macrophages were identified following previously published protocols36.

Differential changes of cell populations in obesity and LPS treatment

We noticed that there were more CD45+ cells in HFD mice lungs than RCD mice with or without LPS challenge (Fig. 3). The percentages of alveolar macrophages in HFD mice were higher than RCD mice (Fig. 4a). Similarly, both monocytes and granulocytes were increased following LPS stimulation (Fig. 4c,d). Further investigation showed that more monocytes were recruited in HFD mice than RCD mice, and LPS treatment decreased the proportion of alveolar macrophages in both HFD and RCD mice (Fig. 4a). We also observed that RCD mice had a significantly higher proportion of interstitial macrophages with LPS challenge but this was not observed in HFD mice (Fig. 4b).

Figure 4.

Figure 4

Differential changes of cell populations in obesity and LPS treatment. The percentage of interstitial macrophages (b), granulocytes (d) and monocytes (c) were intensified after stimulation of LPS and the percentage of alveolar macrophages (a) was diminished. High-fat diet-induced obesity had an impact on the number of alveolar macrophages and monocytes. Detailed statistical results can be seen in Supplementary Table S6. RCD group, n = 8; RCD + LPS group, n = 8; HFD group, n = 8; HFD + LPS group, n = 10. Alveolar macrophages/minus debris (%): by ANOVA, post-hoc LSD-t method. P < 0.001, comparing HFD group to RCD group; P < 0.05, comparing RCD + LPS group to RCD group; P < 0.001, comparing HFD + LPS group to HFD group. Interstitial macrophages/minus debris (%): by ANOVA after logarithmic transformation, post-hoc LSD-t method. P < 0.001, comparing RCD + LPS group to RCD group. Monocytes/minus debris (%): by ANOVA after logarithmic transformation, post-hoc LSD-t method. P < 0.001, comparing RCD + LPS group to RCD group; P < 0.001, comparing HFD + LPS group to HFD group; P < 0.01, comparing HFD + LPS group to RCD + LPS group. Granulocytes/minus debris (%): by Welch’s ANOVA, post-hoc Games–Howell method. P < 0.001, comparing RCD + LPS group to RCD group. P < 0.001, comparing HFD + LPS group to HFD group. RCD, regular chow diet. HFD, high-fat diet. LPS, lipopolysaccharide. IM, interstitial macrophages. Mo, monocytes. AM, alveolar macrophages. Gr, Granulocytes. Data were presented as Mean ± SD. ***P < 0.001; **P < 0.01; *P < 0.05.

Differential expressions of CD86 and CD206 in lung cell populations

We further analyzed CD86 and CD206 expressions in alveolar macrophages and monocytes. We observed that the expressions of CD86 in alveolar macrophages were decreased in HFD mice as compared to RCD mice (Fig. 5a). Similar results were observed in the expressions of CD206 in alveolar macrophages (Fig. 5a). Monocytes expressed lower levels of CD86 than alveolar macrophages (Fig. 5b). There was no detectable CD206 in monocytes as compared to isotype controls (Fig. 5b). Following LPS treatment, the expressions of CD86 in macrophages were not significantly different between HFD and RCD mice. However, the expressions of CD86 were decreased in alveolar macrophages in RCD mice (Fig. 5a). The expressions of CD86 in monocytes were increased after LPS treatment (Fig. 5b) and the expressions of CD86 in monocytes were higher in HFD mice than RCD mice after LPS challenge (Fig. 5b).

Figure 5.

Figure 5

CD86 and CD206 expression levels in Cell Populations in Obesity. (a, b) CD86 and CD206 expressions in alveolar macrophages and monocytes with or without LPS challenge. Obesity reduced the expression levels of CD86 and CD206 in alveolar macrophages, but this change was not present in monocytes. CD86 expressions in alveolar macrophages were decreased in RCD mice after the LPS challenge (a). CD86 expressions in monocytes were increased in RCD and HFD mice after LPS challenge (b). Detailed statistical results can be seen in supplementary Table S7. RCD, n = 8; RCD + LPS, n = 8; HFD, n = 8; HFD + LPS, n = 10. The horizontal line in each graph was the background MFI compared with isotype control. CD86 MFI in alveolar macrophages: P < 0.001, HFD group compared to RCD group; CD206 MFI in alveolar macrophages: P < 0.05, comparing HFD group to RCD group; CD86 MFI in monocytes: P < 0.001, RCD + LPS group vs RCD group; P < 0.001, HFD + LPS group vs HFD group; P < 0.05, HFD + LPS group compared to RCD + LPS group; (c, d): histogram of CD86, CD206 MFI of alveolar macrophages, monocytes in RCD (blue line) mice, RCD + LPS (blue dash line) mice, HFD (red line) mice, HFD + LPS (red dash line) mice. Isotype control, black dash line. RCD, regular chow diet. HFD, high-fat diet. LPS, lipopolysaccharide. MFI, median fluorescence intensity. Data were presented as Mean ± SD. ***P < 0.001; **P < 0.01; *P < 0.05.

Changes in α7nAChR-positive lung cell populations in HFD mice

We next examined the percentages of α7nAChR-positive cells in four types of inflammatory cells in the lung (Fig. 6). We observed that only a small proportion of interstitial macrophages expressed α7nAChR (Fig. 7b). Interestingly, following LPS treatment the expressions of α7nAChR were increased in alveolar macrophages (Fig. 7a), interstitial macrophages (Fig. 7b) and monocytes (Fig. 7c), but not detectable in granulocytes (Fig. 7d) in RCD and HFD mice. Further investigation showed that the proportion of α7nAChR+ cells in both alveolar and interstitial macrophages were lower in HFD mice than RCD mice after the LPS challenge (Fig. 7a,b).

Figure 6.

Figure 6

Identification of α7nAChR positive lung cell populations and gating out α7nAChR+ populations in alveolar macrophages, interstitial macrophages, monocytes, granulocytes. (a) The percentage of α7nAChR+ cell in four inflammatory cell subsets. Leukocytes were analyzed by FACS to quantify leukocyte subsets and their expression levels of α7nAChR+. Gate in each graph indicates α7nAChR+ populations. (b) Histogram of α7nAChR expression levels of alveolar macrophages, interstitial macrophages, monocytes and granulocytes. RCD group, blue solid line; HFD group, red solid line; RCD + LPS group, blue dash line; HFD + LPS group, red dash line. Isotype control, black dash line. RCD, regular chow diet. HFD, high-fat diet. LPS, lipopolysaccharide.

Figure 7.

Figure 7

Changes in α7nAChR-expressing lung cell populations in obese mice. The ratio of α7nAChR+ interstitial macrophages (b), α7nAChR+ monocytes (c) and α7nAChR+ alveolar macrophages (a) were increased after stimulation of LPS. Detailed statistical results can be seen in Supplementary Table S8. RCD group, n = 8; RCD + LPS group, n = 8; HFD group, n = 8; HFD + LPS group, n = 10. α7nAChR+ AM/AM: P < 0.001, comparing RCD + LPS group to RCD group; P < 0.001, comparing HFD + LPS group to HFD group; P < 0.05, comparing HFD + LPS group to RCD + LPS group; α7nAChR+ IM/IM: P < 0.001, comparing RCD + LPS group to RCD group; P < 0.001, comparing HFD + LPS group to HFD group; P < 0.01, comparing HFD + LPS group to RCD + LPS group. α7nAChR+ Mo/Mo: P < 0.001, comparing RCD + LPS group to RCD group; P < 0.001, comparing HFD + LPS group to HFD group. RCD, regular chow diet. HFD, high-fat diet. LPS, lipopolysaccharide. IM, interstitial macrophages. Mo, monocytes. AM, alveolar macrophages. Gr, Granulocytes. Data were presented as Mean ± SD. ***P < 0.001; **P < 0.01; *P < 0.05 by Welch’s ANOVA, post-hoc Games–Howell method.

Meanwhile, we analyzed the changes in the expression levels of α7nAChR. Following the LPS treatment, we observed that the expression levels of α7nAChR in both alveolar and interstitial macrophages were increased in both HFD and RCD mice (Fig. 8a,b). Unexpectedly, the expression levels of α7nAChR in lung interstitial macrophages were significantly lower in HFD mice than RCD mice following the LPS stimulation (Fig. 8b), and similar effects were observed in alveolar macrophages (Fig. 8a). No significant differences were observed in α7nAChR expressions in other populations (Fig. 8c,d).

Figure 8.

Figure 8

Changes of α7nAChR expression levels in Lung Cell Populations in Obese Mice. The α7nAChR expression levels of α7nAChR+ alveolar macrophages (a), α7nAChR+ interstitial macrophages (b) were increased after stimulation of LPS. Detailed statistical results can be seen in Supplementary Table S9. RCD group, n = 8; RCD + LPS group, n = 8; HFD group, n = 8; HFD + LPS group, n = 10. α7nAChR+ AM MFI: by ANOVA, post-hoc LSD-t method. P < 0.001, comparing RCD + LPS group to RCD group; P < 0.001, comparing HFD + LPS group to HFD group; P < 0.01, comparing HFD + LPS group to RCD + LPS group. α7nAChR+ IM MFI: by ANOVA after logarithmic transformation, post-hoc LSD-t method. P < 0.001, comparing RCD + LPS group to RCD group; P < 0.001, comparing HFD + LPS group to HFD group; P < 0.001, comparing HFD + LPS group to RCD + LPS group. RCD, regular chow diet. HFD, high-fat diet. LPS, lipopolysaccharide. IM, interstitial macrophages. Mo, monocytes. AM, alveolar macrophages. Gr, Granulocytes. MFI, median fluorescence intensity. Data were presented as Mean ± SD. ***P < 0.001; **P < 0.01.

Discussion

In this study, we identified the cell populations expressing α7nAChR involved in the obesity-induced lung inflammation and characterized differential changes of α7nAChR expressions in obesity-induced lung inflammation with or without LPS challenges.

In the present study, we observed more lipid droplets accumulated in the lung in HFD mice, consistent with previous studies37. Further investigation demonstrated that some of the lipid deposits were located in macrophages. The interactions of lipid metabolism and macrophages have been investigated in previous studies38. We also observed that there were more alveolar macrophages in HFD mice than RCD mice, suggesting that alveolar macrophages might partake in the regulations of the increased lipid in the lung. Meanwhile, we noticed that the amount of lipid droplets decreased in HFD mice after LPS challenge, which might be attributable to increased lipolysis39.

CD206 was identified as a marker of M2 activation40 and CD86 was used as a marker of M1 activation of macrophages41. Recent studies demonstrated that macrophages polarized towards a mixed phenotype in adipose tissues in mice fed a high-fat diet41,42. CD86 (also known as B7-2) plays an important role in providing co-stimulatory signals required for T-cell activation and survival43. The expressions of CD86 were reduced in adipose tissue macrophages in HFD mice, which in turn causes more inflammatory macrophages infiltration44. Consistent with previous studies in adipose tissue41,45, we observed that the expression levels of CD86 in alveolar macrophages were decreased in HFD mice lungs as compared to RCD mice, which might contribute to the enhanced inflammatory status in HFD mice. We observed that LPS challenge decreased CD86 expressions in alveolar macrophages in RCD mice, which is in accordance with previous study46. Identical to previous study47, the expressions of CD86 in monocytes were increased after LPS challenge in RCD and HFD mice.

The CAP plays an important role in the regulation of obesity-induced inflammation and metabolic disorders. α7nAChR agonist or acetylcholinesterase inhibitor acting on this pathway alleviates obesity-related inflammation and metabolic complications. Previous studies have shown the infiltration of M1 type macrophage was enhanced in adipose tissue in α7nAChR knockout mice48. Literature shows that approximately 20% of CD45+ cells expressed α7nAChR in the lung49. In contrast to CD45+, CD11b+, CD8+ and B220+ cells, F4/80+, Gr1+ and CD11c+ cells exhibited different expression levels of α7nAChR50,51. These cells were able to migrate from the blood following LPS challenge52. Contrasting to previous studies49, we found that only a small fraction of interstitial macrophages but not alveolar macrophages expressed α7nAChR in normal conditions. Meanwhile, a study by Mikulski W et.al showed that no α7nAChR mRNA expression was observed in bronchoalveolar lavage cells53, and we did not observe either.

In accordance to previous studies54, following LPS challenge the proportion of α7nAChR+CD11b+ cells were greatly increased, which might be recruited from spleen or bone marrows. However, our multicolor flow cytometry studies revealed that the main fraction of these α7nAChR+ cells were alveolar and interstitial macrophages and monocytes. Although the α7nAChR+ cell proportions in both alveolar and interstitial macrophages were increased in HFD and RCD mice, we found that the proportion of α7nAChR+ cells in HFD mice was lower than RCD mice following LPS challenge, suggesting that the CAP pathway was probably compromised in anti-inflammation.

We also found that α7nAChR+ cells did not exist in granulocytes, suggesting that α7nAChR+ granulocytes may not play a major role in lung inflammatory response. Giebelen et al.26 explored the relationship between α7nAChR and lung inflammation and reported that local administration of GTS-21 reduced the levels of TNF-α in the respiratory airways of mice following LPS stimulation, whereas GTS-21 did not affect neutrophil exudation in the mouse alveolar tissues. These results indicate that the neutrophils were not probably involved in the α7 nAChR-mediated anti-inflammatory effects.

Cancello et al. found that α7nAChR expression was significantly lower in human subcutaneous adipose tissue of obese subjects compared with that of normal-weight subjects55. The expression levels of α7nAChR in monocytes and alveolar and interstitial macrophages were all increased following LPS stimulation, suggesting that they were probably involved in the cholinergic pathway-mediated inflammatory response in the lung. It is worth noting that the α7nAChR expression levels were significantly lower in α7nAChR+ interstitial macrophages following LPS stimulation in HFD mice than RCD mice in our study, indicating that obesity affected α7nAChR expressions in lung interstitial macrophages after LPS challenge. This study further indicated the decreased expression levels of α7nAChR in lung interstitial macrophages may alter the regulation of CAP pathway on inflammatory response in obesity treated with LPS.

Meanwhile, it is well known that the interstitial macrophages are closely associated with interstitial T lymphocytes and dendritic cells in the lungs and that they play an important role in the development of inflammation and other immune functions56. Therefore, lung interstitial macrophages are likely to be involved in the construction of vagal anti-inflammatory pathways in the lung. Liegeois et al.57 pointed out that a percentage of the lung interstitial macrophages could be supplemented by the monocytes in the blood circulation, we presumed that α7nAChR+ interstitial macrophages may be derived from α7nAChR+ monocytes, which probably recruited from the spleen after LPS challenge54.

Collectively, the present study demonstrates that the α7nAChR are predominantly expressed in interstitial and alveolar macrophages and monocytes in mouse lungs, and obesity alters the proportion of α7nAChR+ cells in alveolar and interstitial macrophages and the expression levels of α7nAChR upon the LPS challenge, which may have an impact on the cholinergic anti-inflammatory pathway, providing a potential therapeutic target for clinical neurogenic immuno-anti-inflammatory treatment.

Supplementary information

Acknowledgements

This research was supported by the grant from National Natural Science Foundation of China (NSFC, Grant No. 81770007).

Author contributions

Q.Y. and Y.Y. conceived and designed the study. S.D., Q.Y., Z.L., W.Z. and C.D. performed the experiments and analyzed the data. Q.Y. and Y.Y. wrote the manuscript with the inputs of other authors.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Yong Qi, Email: srmyy123@163.com.

Yunlei Yang, Email: yunlei.yang@einsteinmed.org.

Supplementary information

is available for this paper at 10.1038/s41598-020-75414-w.

References

  • 1.Di Cesare M, et al. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387:1377–1396. doi: 10.1016/S0140-6736(16)30054-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Park JH, et al. Burden of disease attributable to obesity and overweight in Korea. Int. J. Obes. (Lond.) 2006;30:1661–1669. doi: 10.1038/sj.ijo.0803321. [DOI] [PubMed] [Google Scholar]
  • 3.Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013;309:71–82. doi: 10.1001/jama.2012.113905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Gong MN, Bajwa EK, Thompson BT, Christiani DC. Body mass index is associated with the development of acute respiratory distress syndrome. Thorax. 2010;65:44–50. doi: 10.1136/thx.2009.117572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gajic O, et al. Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multicenter cohort study. Am. J. Respir. Crit. Care Med. 2011;183:462–470. doi: 10.1164/rccm.201004-0549OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mancuso P. Obesity and lung inflammation. J. Appl. Physiol. 2010;1985(108):722–728. doi: 10.1152/japplphysiol.00781.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Peppard PE, et al. Increased prevalence of sleep-disordered breathing in adults. Am. J. Epidemiol. 2013;177:1006–1014. doi: 10.1093/aje/kws342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Turnbull CD, et al. Relationships between MRI fat distributions and sleep apnea and obesity hypoventilation syndrome in very obese patients. Sleep Breath. 2018;22:673–681. doi: 10.1007/s11325-017-1599-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ora J, et al. Combined effects of obesity and chronic obstructive pulmonary disease on dyspnea and exercise tolerance. Am. J. Respir. Crit. Care Med. 2009;180:964–971. doi: 10.1164/rccm.200904-0530OC. [DOI] [PubMed] [Google Scholar]
  • 10.Stapleton RD, et al. The association between BMI and plasma cytokine levels in patients with acute lung injury. Chest. 2010;138:568–577. doi: 10.1378/chest.10-0014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Manicone AM, Gong K, Johnston LK, Giannandrea M. Diet-induced obesity alters myeloid cell populations in naive and injured lung. Respir. Res. 2016;17:24. doi: 10.1186/s12931-016-0341-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wang C. Obesity, inflammation, and lung injury (OILI): the good. Mediators Inflamm. 2014;2014:978463. doi: 10.1155/2014/978463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Fang Y, Wang S, Zhu T, Zhang Y, Lian X. Atherogenic high cholesterol/high fat diet induces TLRs-associated pulmonary inflammation in C57BL/6J mice. Inflamm. Res. 2017;66:39–47. doi: 10.1007/s00011-016-0990-6. [DOI] [PubMed] [Google Scholar]
  • 14.Kordonowy LL, et al. Obesity is associated with neutrophil dysfunction and attenuation of murine acute lung injury. Am. J. Respir. Cell Mol. Biol. 2012;47:120–127. doi: 10.1165/rcmb.2011-0334OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Tilton SC, et al. Diet-induced obesity reprograms the inflammatory response of the murine lung to inhaled endotoxin. Toxicol. Appl. Pharmacol. 2013;267:137–148. doi: 10.1016/j.taap.2012.12.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ulloa L. The cholinergic anti-inflammatory pathway meets microRNA. Cell Res. 2013;23:1249–1250. doi: 10.1038/cr.2013.128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Borovikova LV, et al. Vagus nerve stimulation attenuates the systemic inflammatory response to endotoxin. Nature. 2000;405:458–462. doi: 10.1038/35013070. [DOI] [PubMed] [Google Scholar]
  • 18.Wang H, et al. Nicotinic acetylcholine receptor alpha7 subunit is an essential regulator of inflammation. Nature. 2003;421:384–388. doi: 10.1038/nature01339. [DOI] [PubMed] [Google Scholar]
  • 19.Czura CJ, Friedman SG, Tracey KJ. Neural inhibition of inflammation: the cholinergic anti-inflammatory pathway. J. Endotoxin Res. 2003;9:409–413. doi: 10.1177/09680519030090060401. [DOI] [PubMed] [Google Scholar]
  • 20.Bencherif M, Lippiello PM, Lucas R, Marrero MB. Alpha7 nicotinic receptors as novel therapeutic targets for inflammation-based diseases. Cell. Mol. Life Sci. 2011;68:931–949. doi: 10.1007/s00018-010-0525-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wu H, Li L, Su X. Vagus nerve through alpha7nAChR modulates lung infection and inflammation: models, cells, and signals. Biomed Res Int. 2014;2014:283525. doi: 10.1155/2014/283525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Vicary GW, Ritzenthaler JD, Panchabhai TS, Torres-Gonzalez E, Roman J. Nicotine stimulates collagen type I expression in lung via alpha7 nicotinic acetylcholine receptors. Respir. Res. 2017;18:115. doi: 10.1186/s12931-017-0596-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ge J, et al. Alpha7 nicotine acetylcholine receptor agonist PNU-282987 attenuates acute lung injury in a cardiopulmonary bypass model in rats. Shock. 2017;47:474–479. doi: 10.1097/SHK.0000000000000744. [DOI] [PubMed] [Google Scholar]
  • 24.Kox M, et al. Alpha7 nicotinic acetylcholine receptor agonist GTS-21 attenuates ventilator-induced tumour necrosis factor-alpha production and lung injury. Br. J. Anaesth. 2011;107:559–566. doi: 10.1093/bja/aer202. [DOI] [PubMed] [Google Scholar]
  • 25.Su X, et al. Activation of the alpha7nAChR reduces acid-induced acute lung injury in mice and rats. Am. J. Respir. Cell Mol. Biol. 2007;37:186–192. doi: 10.1165/rcmb.2006-0240OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Giebelen IA, van Westerloo DJ, LaRosa GJ, de Vos AF, van der Poll T. Local stimulation of alpha7 cholinergic receptors inhibits LPS-induced TNF-alpha release in the mouse lung. Shock. 2007;28:700–703. doi: 10.1097/shk.0b013e318054dd89. [DOI] [PubMed] [Google Scholar]
  • 27.Su X, Matthay MA, Malik AB. Requisite role of the cholinergic alpha7 nicotinic acetylcholine receptor pathway in suppressing Gram-negative sepsis-induced acute lung inflammatory injury. J. Immunol. 2010;184:401–410. doi: 10.4049/jimmunol.0901808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Halevi S, et al. Conservation within the RIC-3 gene family. Effectors of mammalian nicotinic acetylcholine receptor expression. J. Biol. Chem. 2003;278:34411–34417. doi: 10.1074/jbc.M300170200. [DOI] [PubMed] [Google Scholar]
  • 29.Cho CH, et al. Rapid upregulation of alpha7 nicotinic acetylcholine receptors by tyrosine dephosphorylation. J. Neurosci. 2005;25:3712–3723. doi: 10.1523/JNEUROSCI.5389-03.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Xu J, et al. Electroacupuncture inhibits weight gain in diet-induced obese rats by activating hypothalamic LKB1-AMPKsignaling. BMC Complement. Altern. Med. 2015;15:147. doi: 10.1186/s12906-015-0667-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Wang G, et al. Activation of AMPK attenuates LPS-induced acute lung injury by upregulation of PGC1alpha and SOD1. Exp. Ther. Med. 2016;12:1551–1555. doi: 10.3892/etm.2016.3465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Ayala JE, et al. Standard operating procedures for describing and performing metabolic tests of glucose homeostasis in mice. Dis. Model. Mech. 2010;3:525–534. doi: 10.1242/dmm.006239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Matute-Bello G, Frevert CW, Martin TR. Animal models of acute lung injury. Am. J. Physiol. Lung Cell Mol. Physiol. 2008;295:L379–399. doi: 10.1152/ajplung.00010.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Spoelstra EN, et al. A novel and simple method for endotracheal intubation of mice. Lab. Anim. 2007;41:128–135. doi: 10.1258/002367707779399400. [DOI] [PubMed] [Google Scholar]
  • 35.Atif SM, Gibbings SL, Jakubzick CV. Isolation and Identification of Interstitial Macrophages from the Lungs Using Different Digestion Enzymes and Staining Strategies. Methods Mol. Biol. 2018;1784:69–76. doi: 10.1007/978-1-4939-7837-3_6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Misharin AV, Morales-Nebreda L, Mutlu GM, Budinger GR, Perlman H. Flow cytometric analysis of macrophages and dendritic cell subsets in the mouse lung. Am. J. Respir. Cell Mol. Biol. 2013;49:503–510. doi: 10.1165/rcmb.2013-0086MA. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Foster DJ, Ravikumar P, Bellotto DJ, Unger RH, Hsia CC. Fatty diabetic lung: altered alveolar structure and surfactant protein expression. Am. J. Physiol. Lung Cell Mol. Physiol. 2010;298:L392–403. doi: 10.1152/ajplung.00041.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Remmerie A, Scott CL. Macrophages and lipid metabolism. Cell. Immunol. 2018;330:27–42. doi: 10.1016/j.cellimm.2018.01.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Zu L, et al. Bacterial endotoxin stimulates adipose lipolysis via toll-like receptor 4 and extracellular signal-regulated kinase pathway. J. Biol. Chem. 2009;284:5915–5926. doi: 10.1074/jbc.M807852200. [DOI] [PubMed] [Google Scholar]
  • 40.Stouch AN, et al. IkappaB kinase activity drives fetal lung macrophage maturation along a non-M1/M2 paradigm. J. Immunol. 2014;193:1184–1193. doi: 10.4049/jimmunol.1302516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Shaul ME, Bennett G, Strissel KJ, Greenberg AS, Obin MS. Dynamic, M2-like remodeling phenotypes of CD11c+ adipose tissue macrophages during high-fat diet-induced obesity in mice. Diabetes. 2010;59:1171–1181. doi: 10.2337/db09-1402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Serbulea V, et al. Macrophage phenotype and bioenergetics are controlled by oxidized phospholipids identified in lean and obese adipose tissue. Proc. Natl. Acad. Sci. U. S. A. 2018;115:E6254–E6263. doi: 10.1073/pnas.1800544115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Chen L, Flies DB. Molecular mechanisms of T cell co-stimulation and co-inhibition. Nat. Rev. Immunol. 2013;13:227–242. doi: 10.1038/nri3405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Zhong J, et al. T-cell costimulation protects obesity-induced adipose inflammation and insulin resistance. Diabetes. 2014;63:1289–1302. doi: 10.2337/db13-1094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Cho WJ, et al. Diet-induced obesity reduces the production of influenza vaccine-induced antibodies via impaired macrophage function. Acta Virol. 2016;60:298–306. doi: 10.4149/av_2016_03_298. [DOI] [PubMed] [Google Scholar]
  • 46.Patel VI, et al. Transcriptional classification and functional characterization of human airway macrophage and dendritic cell subsets. J. Immunol. 2017;198:1183–1201. doi: 10.4049/jimmunol.1600777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Buerfent BC, et al. Transcriptome-wide analysis of filarial extract-primed human monocytes reveal changes in LPS-induced PTX3 expression levels. Sci. Rep. 2019;9:2562. doi: 10.1038/s41598-019-38985-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wang X, Yang Z, Xue B, Shi H. Activation of the cholinergic antiinflammatory pathway ameliorates obesity-induced inflammation and insulin resistance. Endocrinology. 2011;152:836–846. doi: 10.1210/en.2010-0855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Gahring LC, Myers EJ, Dunn DM, Weiss RB, Rogers SW. Nicotinic alpha 7 receptor expression and modulation of the lung epithelial response to lipopolysaccharide. PLoS ONE. 2017;12:e0175367. doi: 10.1371/journal.pone.0175367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Gahring LC, et al. Nicotinic receptor alpha7 expression identifies a novel hematopoietic progenitor lineage. PLoS ONE. 2013;8:e57481. doi: 10.1371/journal.pone.0057481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Enioutina EY, et al. The nicotinic receptor Alpha7 impacts the mouse lung response to LPS through multiple mechanisms. PLoS ONE. 2015;10:e0121128. doi: 10.1371/journal.pone.0121128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Collin M, McGovern N, Haniffa M. Human dendritic cell subsets. Immunology. 2013;140:22–30. doi: 10.1111/imm.12117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Mikulski Z, et al. Nicotinic receptors on rat alveolar macrophages dampen ATP-induced increase in cytosolic calcium concentration. Respir. Res. 2010;11:133. doi: 10.1186/1465-9921-11-133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Zhao C, et al. Signals of vagal circuits engaging with AKT1 in alpha7nAChR+CD11b+ cells lessen E. coli and LPS-induced acute inflammatory injury. Cell Discov. 2017;3:17009. doi: 10.1038/celldisc.2017.9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Cancello R, et al. The nicotinic acetylcholine receptor alpha7 in subcutaneous mature adipocytes: downregulation in human obesity and modulation by diet-induced weight loss. Int. J. Obes. (Lond.) 2012;36:1552–1557. doi: 10.1038/ijo.2011.275. [DOI] [PubMed] [Google Scholar]
  • 56.Kopf M, Schneider C, Nobs SP. The development and function of lung-resident macrophages and dendritic cells. Nat. Immunol. 2015;16:36–44. doi: 10.1038/ni.3052. [DOI] [PubMed] [Google Scholar]
  • 57.Liegeois M, Legrand C, Desmet CJ, Marichal T, Bureau F. The interstitial macrophage: a long-neglected piece in the puzzle of lung immunity. Cell. Immunol. 2018;330:91–96. doi: 10.1016/j.cellimm.2018.02.001. [DOI] [PubMed] [Google Scholar]

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