A fasting mimetic diet blunts inflammation, and intermittent fasting has shown ameliorative effects in obese asthmatics. To examine whether canonical inflammatory pathways linked with asthma are modulated by fasting, we designed a pilot study in mild asthmatic subjects to assess the effect of fasting on the NLRP3 inflammasome, Th2 cell activation, and airway epithelial cell cytokine production. Subjects with documented reversible airway obstruction and stable mild asthma were recruited into this study in which pulmonary function testing (PFT) and PBMCextraction was performed 24 h after fasting, with repeated PFT testing and blood draw 2.5 h after refeeding. PFTs were not changed by a prolonged fast. However, steroid-naive mild asthmatics showed fasting-dependent blunting of the NLRP3 inflammasome. Furthermore, PBMCs from these fasted asthmatics cocultured with human epithelial cells resulted in blunting of house dust mite–induced epithelial cell cytokine production and reduced CD4+ T cell Th2 activation compared with refed samples. This pilot study shows that prolonged fasting blunts the NLRP3 inflammasome and Th2 cell activation in steroid-naive asthmatics as well as diminishes airway epithelial cell cytokine production. This identifies a potential role for nutrient level–dependent regulation of inflammation in asthma. Our findings support the evaluation of this concept in a larger study as well as the potential development of caloric restriction interventions for the treatment of asthma.

Caloric excess and obesity increase the risk of the development of asthma, and obese asthmatics show distinct immune-modulatory effects relative to asthma in nonobese individuals (1). In contrast, studies exploring weight reduction diets and intermittent caloric restriction improve asthma symptoms and lung function (2, 3). Interestingly, asthmatic subjects on an intermittent caloric restriction diet showed evidence of blunting of immune activation as measured by serum levels of brain-derived neurotropic factor and of TNF-α after ∼4 wk of alternate day caloric restriction (3). These data and other caloric restriction and fasting studies (47) suggest that dietary manipulation may have ameliorative effects due to modulation of immune function.

The immune pathways linked to asthma have been extensively explored and include a role for environmental triggers, signaling from airway epithelial cells, and activation of innate and adaptive immune cells. The major signaling from airway epithelial cells involves the secretion of cytokine thymic stromal lymphopoietin (TSLP), IL-25, and IL-33. The predominant immune cells involved in triggering inflammation and smooth muscle cell–mediated bronchoconstriction include the following: myeloid-derived macrophages, dendritic cells, eosinophils and neutrophils, lymphoid CD4+ helper Th2 and Th17 cells, and innate type 2 lymphocytes (iLC2). Recent evidence also supports a regulatory role of the intracellular Nod-like receptor pyrin domain 3 (NLRP3) inflammasome in the pathophysiology of asthma (8, 9). Interestingly, this inflammasome is activated by nutrient excess (10) and blunted by prolonged fasting (7, 11). Furthermore, as a component of innate immunity, the NLRP3 inflammasome is linked to the activation of pulmonary iLC2 cells (12) and to the upregulation of Th2 signaling (13). Furthermore, the NLRP3 inflammasome is linked to an experimental model of obesity-associated airway hyperreactivity (12).

Despite the initial studies on the effects of caloric restriction or fasting on disease pathophysiology (4, 6, 14, 15), the exploration of the effects of these nutrient restriction interventions on the control of inflammatory or immune pathways has not been well characterized. This has recently begun to be addressed in two studies in which normal volunteers with various risk factors, including obesity, were given a fasting mimetic diet for the first 5 d of each month, followed by their routine diet for the rest of the month. After an assessment, 3 mo after this monthly restricted caloric intervention, numerous disease risk factors were blunted, including a reduction in the levels of the inflammatory acute phase reactant C-reactive protein (CRP) (5, 16). Furthermore, a single 24-h fasting period has also been found to blunt the NLRP3 inflammasome in circulating PBMCs and in monocytes isolated from healthy subjects (7).

Taken together, these data suggest that the link between caloric load and asthma may, in part, be due to nutrient-dependent immune regulation. In this context, we reasoned that fasting may blunt canonical asthma immune regulatory programs. To explore this, we undertook a pilot study in mild asthmatics and assayed the effect of a 24-h fast on the NLRP3 inflammasome, on Th2 activation, and on the cytokine secretory capacity of lung epithelial cells.

This pilot study was performed at the National Institutes of Health (NIH) Clinical Center on 18 mild asthmatic subjects with documented reversible bronchial obstruction by pulmonary function testing (PFT), and this study was registered in ClinicalTrials.gov with the registration number NCT02471300 and approved by the National Heart and Lung Institute Institutional Review Board. Subjects were screened in the ambulatory clinic and signed consent for the protocol prior to undertaking the study. Eighteen stable mild asthmatic subjects consented for this protocol. Subjects had to be stable on their current medical regimen, which could either consist of inhaled β-agonist therapy alone or the combination of inhaled corticosteroids and β-agonists, and had to be considered sufficiently stable that they could withhold their asthma medication for the 27-h duration of the study. Subjects initiated the study with an early-morning fixed-calorie meal followed by fasting, except for unrestricted water intake, for 24 h prior to undergoing the fasting blood draw and initial PFT testing. This was followed by a fixed 500-calorie meal and a postprandial blood draw 2.5 h later, followed by repeat PFT testing. Subjects had a choice between three isocaloric breakfasts: 1) vegetable omelet, toast with butter and jelly, and orange juice; 2) oatmeal with walnuts, brown sugar, dried cranberries, and milk; and 3) turkey bacon, egg and cheese breakfast sandwich with orange slices, and apple juice. The schematic of the blood draw protocol is shown in Fig. 1A, and subjects’ sera insulin, glucose, and growth hormone levels at the end of the 24-h fast and 2.5 h following the fixed-calorie meal are shown in Fig. 1B–D. Given our previous data that prolonged fasting could blunt the NLRP3 inflammasome in PBMCs, the initial 13 subjects were screened for their fasting and refeeding NLRP3 response. Given that differing responses occurred in asthmatics exposed to, or not exposed to, inhaled corticosteroids, the enrollment of the final five individuals in the study was restricted to asthmatic subjects who did not require corticosteroid therapy, and effects of the NLRP3 inflammasome, Th2 endotype, and the effects on lung epithelial cell cytokine secretion were studied in these individuals. The schematic of immune function studies in the subjects is shown as Fig. 2.

Blood was collected after fasting and refeeding for standard laboratory testing in the NIH Clinical Center Clinical Laboratory. Standard laboratory tests included the measurement of glucose, insulin, and growth hormone levels and the assessment of the complete blood count with differential cell analysis.

PFT and fractional exhaled NO (FeNO) measurements were performed by respiratory therapists at the NIH Clinical Center Pulmonary Function Laboratory using the Vmax Encore PFT system (CareFusion, Yorba Linda, CA) and the Sievers 280i Nitric Oxide Analyzer (GE Analytical Instruments, Boulder, CO), respectively. The forced expiratory volume in 1 s (FEV1) was used as the standard measure for the degree of bronchoconstriction in asthma, and FeNO reflects airway inflammation.

Primary PBMCs were isolated from human blood by density centrifugation using Lymphocyte Separation Medium (MP Biomedicals). CD4+ T cells were negatively selected from PBMCs using the CD4+ T Cell Isolation Kit (Miltenyi Biotec). THP-1 human monocytes obtained from American Type Culture Collection were cultured in RPMI 1640 media supplemented with 25 mM HEPES, 10% heat-inactivated FBS, and penicillin/streptomycin. They were differentiated into macrophages by incubation with 5 ng/ml PMA for 48 h. BEAS-2B human epithelial cells were cultured in LHC-8 medium.

PBMCs were incubated at 2 × 106 cells/ml in 96-well plates with 3 mM ATP (Sigma-Aldrich) for 30 min to induce IL-1β and TNF-α secretion. THP-1 macrophages were cultured in media supplemented with 10% fasted or refed serum from the asthmatic subjects for 24 h. These cells were then incubated with 10 ng/ml LPS (Ultrapure Salmonella minnesota R595; Enzo Life Sciences) for 4 h with supplementation with 5 mM ATP for the last 30 min of incubation. To stimulate T cell cytokine release, PBMCs were incubated at 5 × 106 cells/ml in 96-well plates with or without 50 ng/ml PMA and 1 μg/ml ionomycin (Sigma-Aldrich) for 4 h. BEAS-2B epithelial cells (2 × 106 cells/ml) were cocultured with PBMCs in 96-well plates with 100 μg/ml house dust mite extract (HDM) protein (Dermatophagoides pteronyssinus; Stallergenes Greer) in media supplemented with 10% fasted or refed serum from the asthmatic subjects for 24 h. Supernatants were collected, centrifuged to remove cells and debris, and stored at −80°C. The levels of cytokines, including IL-1β, TNF-α, IL-4, IL-17E, and TSLP, were measured by ELISA (R&D Systems and PeproTech for IL-17E). Results were normalized to cell number using the CyQUANT Cell Proliferation Assay (Invitrogen).

Total RNA was extracted from PBMCs isolated in the fasted or fed state following the incubation of these cells with 1 ng/ml LPS for 4 h. RNA from naive CD4+ T cells were isolated at the fasted and refed time points using TriPure (Roche Holding), and cDNA was produced using a First-Strand Synthesis Kit (Invitrogen). Quantitative real-time PCR was performed using SYBR Green PCR Master Mix (Roche Holding) and run on LightCycler 96 Systems (Roche Holding). Transcript levels of IL-1β, TNF-α, NLRP3, IL-18, GATA3, CD3, CD14, and CD19 were measured using validated gene-specific primers (QIAGEN). Relative gene expression was quantified by normalizing cycle threshold values with 18S and EF1α (only for GATA3 expression) using the ∆∆ cycle threshold method.

Total proteins were extracted using radioimmunoprecipitation assay buffer (50 mM Tris-HCl, pH 8, 0.5% deoxycholic acid, 1% Nonidet P-40, 0.1% NaDodSO4, and 0.5 M NaCl) supplemented with protease inhibitor mixtures and phosphatase inhibitors (Sigma-Aldrich). The lysates were separated by Tris-Glycine Gel (Invitrogen) and transferred to nitrocellulose membranes. Abs were purchased from Cell Signaling Technology (p–NF-κB, NF-κB, p-IκB, and IκB), AdipoGen (NLRP3), Santa Cruz Biotechnology (ASC), Abcam (IL-1β), and MilliporeSigma (actin). Immunoblots were scanned in Odyssey CLx Imaging System (LI-COR Biosciences). Protein band intensity was measured by the Odyssey imaging software and normalized to actin.

Statistical analyses were performed using PRISM version 7 (GraphPad Software). Parametric data were described as mean ± SD for the indicated number of observations. Statistical significance between groups was determined using two-tailed Student test when analyzing the response between groups. A p value <0.05 was considered statistically significant.

Eighteen subjects (seven men; eleven women), with a median age of 38 (range 26–55) y and median body mass index of 26 (range 19–48) kg/m2, were recruited to participate in this study (Figs. 1, 2). The steroid-naive asthmatics showed lower eosinophil levels compared with the steroid-dependent asthmatics, whereas baseline FeNO levels were not different (Fig. 3A, 3B). Additionally, the fasting and refeeding protocol had no effect on FEV1 or FeNO (Table I). As this was a pilot study, and as isolation of primary cells were analyzed in real time, it was clearly noted after the recruitment of the first 13 subjects that the immunological responses were different in the steroid-naive subjects compared with inhaled corticosteroid–treated subjects. To exclude the effects of steroids, the final five subjects recruited into this study were restricted to steroid-naive asthmatics.

FIGURE 1.

Clinical protocol and intervention characteristics. (A) Schematic of the protocol showing intervals between the fixed-calorie meals and temporal drawing of research blood. Asthmatic subjects were given an early-morning fixed-calorie meal followed by a 24-h fast. The next morning, fasting blood was drawn and subjects were given another fixed-calorie meal. Blood was drawn 2.5 h after the fixed-calorie meal. (BD) Data points and means (horizontal bars) of subjects’ sera glucose (B), insulin (C), and growth hormone (D) levels at the end of 24-h fast and 2.5 h following the fixed-calorie meal (n = 18). Statistical analysis using paired Student t test with p values shown in each panel.

FIGURE 1.

Clinical protocol and intervention characteristics. (A) Schematic of the protocol showing intervals between the fixed-calorie meals and temporal drawing of research blood. Asthmatic subjects were given an early-morning fixed-calorie meal followed by a 24-h fast. The next morning, fasting blood was drawn and subjects were given another fixed-calorie meal. Blood was drawn 2.5 h after the fixed-calorie meal. (BD) Data points and means (horizontal bars) of subjects’ sera glucose (B), insulin (C), and growth hormone (D) levels at the end of 24-h fast and 2.5 h following the fixed-calorie meal (n = 18). Statistical analysis using paired Student t test with p values shown in each panel.

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FIGURE 2.

Fasting/refeeding study flow diagram of assays performed on the study subjects. FeNO, a biomarker of bronchial inflammation.

FIGURE 2.

Fasting/refeeding study flow diagram of assays performed on the study subjects. FeNO, a biomarker of bronchial inflammation.

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FIGURE 3.

IL-1β and TNF-α release in PBMCs isolated from asthmatics and serum effects on THP-1 macrophages. (A) Baseline eosinophil levels comparing steroid-naive (n = 10) and steroid-dependent (n = 8) asthmatics. (B) Baseline FeNO comparing steroid-naive and steroid-dependent asthmatics. (C and D) IL-1β and TNF-α release in primary PBMCs isolated from asthmatics (n = 18). PBMCs were treated with 3 mM ATP, an NLRP3 activator, for 30 min. Cytokine release was determined by ELISA and was significantly increased in steroid-naive cells extracted after refeeding compared with fasting. (E) IL-1β release in THP-1 macrophages supplemented with fasted or refed subject serum. Macrophages were primed with 10 ng/ml LPS and then stimulated with 5 mM ATP prior to ELISA assays. Statistical analysis using paired Student t test with p values shown in each panel.

FIGURE 3.

IL-1β and TNF-α release in PBMCs isolated from asthmatics and serum effects on THP-1 macrophages. (A) Baseline eosinophil levels comparing steroid-naive (n = 10) and steroid-dependent (n = 8) asthmatics. (B) Baseline FeNO comparing steroid-naive and steroid-dependent asthmatics. (C and D) IL-1β and TNF-α release in primary PBMCs isolated from asthmatics (n = 18). PBMCs were treated with 3 mM ATP, an NLRP3 activator, for 30 min. Cytokine release was determined by ELISA and was significantly increased in steroid-naive cells extracted after refeeding compared with fasting. (E) IL-1β release in THP-1 macrophages supplemented with fasted or refed subject serum. Macrophages were primed with 10 ng/ml LPS and then stimulated with 5 mM ATP prior to ELISA assays. Statistical analysis using paired Student t test with p values shown in each panel.

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Table I.
Research subjects’ characteristics and laboratory results
CharacteristicsSteroid-Naive Means (Ranges)Steroid-Dependent Means (Ranges)
Subjects (n10 
Sex: male/female 5/5 2/6 
Age (y)  36.8 (26–54) 41.5 (30–55) 
p value (naive versus dependent) 0.32 
Body mass index (kg/m2 29.8 (21.9–39.6) 27.8 (19.1–47.8) 
p value (naive versus dependent) 0.62 
Blood eosinophils (cells/μl)  150 (50–460) 330 (150–650) 
p value (naive versus dependent) 0.03 
FeNO (parts per billion) Fasted state 17.7 (4.7–43.6) 24.8 (8.9–81.8) 
Refed state 19.4 (5.6–42.5) 24.9 (6.0–82.7) 
p value (refed versus fasted) 0.75 0.99 
FEV1 (percentage predicted) Fasted state 76.9 (68–100) 85.8 (76–109) 
Refed state 87.0 (67–100) 90.1 (79–112) 
p value (refed versus fasted) 0.29 0.42 
Glucose (mg/dl) Fasted state 79.6 (69–91) 82.4 (76–89) 
Refed state 94.6 (73–121) 87.3 (73–104) 
p value (refed versus fasted) 0.01 0.20 
Insulin (mU/ml) Fasted state 7.0 (3.5–12.5) 5.5 (1.4–17.6) 
Refed state 31.9 (6.8–78.4) 22.1 (7.4–77.9) 
p value (refed versus fasted) 0.003 0.07 
Growth hormone (ng/ml) Fasted state 1.4 3.5 
Refed state 1.0 1.1 
p value (refed versus fasted) 0.55 0.17 
CharacteristicsSteroid-Naive Means (Ranges)Steroid-Dependent Means (Ranges)
Subjects (n10 
Sex: male/female 5/5 2/6 
Age (y)  36.8 (26–54) 41.5 (30–55) 
p value (naive versus dependent) 0.32 
Body mass index (kg/m2 29.8 (21.9–39.6) 27.8 (19.1–47.8) 
p value (naive versus dependent) 0.62 
Blood eosinophils (cells/μl)  150 (50–460) 330 (150–650) 
p value (naive versus dependent) 0.03 
FeNO (parts per billion) Fasted state 17.7 (4.7–43.6) 24.8 (8.9–81.8) 
Refed state 19.4 (5.6–42.5) 24.9 (6.0–82.7) 
p value (refed versus fasted) 0.75 0.99 
FEV1 (percentage predicted) Fasted state 76.9 (68–100) 85.8 (76–109) 
Refed state 87.0 (67–100) 90.1 (79–112) 
p value (refed versus fasted) 0.29 0.42 
Glucose (mg/dl) Fasted state 79.6 (69–91) 82.4 (76–89) 
Refed state 94.6 (73–121) 87.3 (73–104) 
p value (refed versus fasted) 0.01 0.20 
Insulin (mU/ml) Fasted state 7.0 (3.5–12.5) 5.5 (1.4–17.6) 
Refed state 31.9 (6.8–78.4) 22.1 (7.4–77.9) 
p value (refed versus fasted) 0.003 0.07 
Growth hormone (ng/ml) Fasted state 1.4 3.5 
Refed state 1.0 1.1 
p value (refed versus fasted) 0.55 0.17 

The p values were calculated using paired Student t test analysis. The level for significance was defined as p < 0.05, and significant p values are indicated in bold.

As we had previously shown that fasting blunts the NLRP3 inflammasome in healthy volunteers (7), we evaluated whether this same intervention was operational in asthmatic subjects. PBMCs from the fasting and refed state were exposed to 3 mM of ATP for 30 min, and the release of IL-1β was measured. Interestingly, steroid-naive asthmatics treated only with short-acting β2-agonists showed a significant increase in ATP-stimulated IL-1β release in the refed state versus the fasted state, whereas subjects treated with inhaled steroids did not (Fig. 3C). This dissociation between steroid-naive and steroid-dependent asthmatics was also evident in the release of the inflammasome-independent cytokine TNF-α (Fig. 3D). As these studies were performed in PBMCs rather than in a population of NLRP3-enriched monocytes, a potential confounding factor could be a differential change in monocyte numbers in the steroid-naive versus steroid-dependent asthmatic subjects in response to fasting and refeeding. However, blood differential counts showed no difference in lymphocyte, monocyte, or neutrophil numbers between the groups (Supplemental Table I) or in the transcript levels of genes encoding canonical cell surface receptors on monocytes, T cells, or B cells (Supplemental Fig. 1). It should also be noted in this pilot study that the refeeding-induced IL-1β release by steroid-naive asthmatics was independent of meal selection (data not shown).

Previously, we demonstrated that human THP-1 macrophages incubated with serum extracted from healthy volunteers following a 24-h fast and refeeding paralleled the primary PBMC data and blunted the fasting NLRP3 inflammasome compared with refed serum (7). As this suggested a serum-paracrine mediator of this regulation, we next incubated THP-1 macrophages with serum from steroid-naive asthmatics and showed a recapitulation of the primary PBMCs results with the significant induction of IL-1β release in cells incubated with refed serum (Fig. 3E). Furthermore, the steroid-treated subject serum did not show these nutrient level–dependent changes (Fig. 3E). To determine whether steroids per se modulate nutrient level–dependent activation of the inflammasome, we supplemented THP-1–cultured cells with steroid-naive subjects’ sera with dexamethasone or cortisol prior to inflammasome induction with LPS and ATP. As may have been expected, both steroids blunted IL-1β release and ameliorated the difference in cytokine production between the fasted and refed states (Supplemental Fig. 2A). This blunting of the inflammasome was also evident if dexamethasone or cortisol was introduced following LPS administration but prior to the ATP trigger of IL-1β release (Supplemental Fig. 2B).

To explore the potential regulatory control of the inflammasome, comparing the steroid-naive to steroid-dependent asthmatic subjects, we assayed PBMCs in the two nutritional states. The transcript levels of genes encoding NLRP3, the canonical inflammasome cytokines IL-1β and IL-18, and TNF-α were upregulated in parallel with the increased cytokine levels following refeeding in the steroid-naive asthmatic PBMCs but not in the steroid-dependent asthmatic cells (Fig. 4A, 4B). In parallel, we quantified steady-state protein levels of NLRP3 components and IL-1β and the phosphorylation level of the canonical transcriptional mediators of the inflammasome NF-κB and IκB in steroid-naive asthmatic subjects. We show that the levels of NLRP3 and of phospho–NF-κB are increased in the refed state compared with the fasting state (Fig. 4C, 4D). These findings support our previous data suggesting that fasting and feeding have distinct inflammasome blunting and activating effects in healthy volunteers, respectively (7). Furthermore, the data from this study suggest that inhaled steroids ameliorate nutrient-level regulation of the NLRP3 inflammasome. Given this immunomodulatory effect of the steroids, subsequent studies were performed using only PBMCs and serum from the steroid-naive subgroup.

FIGURE 4.

Expression level of genes encoded for inflammatory and NLRP3 components in PBMCs. (A and B) mRNA expression in primary PBMCs isolated from steroid-naive (n = 10) and steroid-dependent (n = 8) asthmatics. mRNA expression in primary PBMCs primed with 1 ng/ml LPS showed increased transcript levels in the refed state. (C and D) Representative protein levels and relative quantitative changes of signaling molecules activating the NLRP3 inflammasome in PBMCs isolated from steroid-naive asthmatics (n = 8). Statistical analysis using paired Student t test with p values shown in each panel.

FIGURE 4.

Expression level of genes encoded for inflammatory and NLRP3 components in PBMCs. (A and B) mRNA expression in primary PBMCs isolated from steroid-naive (n = 10) and steroid-dependent (n = 8) asthmatics. mRNA expression in primary PBMCs primed with 1 ng/ml LPS showed increased transcript levels in the refed state. (C and D) Representative protein levels and relative quantitative changes of signaling molecules activating the NLRP3 inflammasome in PBMCs isolated from steroid-naive asthmatics (n = 8). Statistical analysis using paired Student t test with p values shown in each panel.

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Because of the absence of the fasting/refeeding effects on the NLRP3 inflammasome in asthmatic subjects exposed to inhaled corticosteroids in the analysis of the initial 13 subjects, the enrollment of the final five subjects was restricted to steroid-naive asthmatic subjects. As the NLRP3 inflammasome is postulated to modulate lung epithelial cell inflammation, PBMCs from these five steroid-naive enrolled subjects in this pilot study were cocultured with human BEAS-2B lung epithelial cells in the presence of 100 μg/ml HDM. In parallel with the induction of the inflammasome with refeeding, the release of IL-1β was similarly induced to a significantly greater degree in response to HDM following coculturing with refed PBMCs (Fig. 5A). Additionally, the epithelial cell–specific cytokines IL-17E and TSLP were secreted in significantly greater amounts in response to HDM in the presence of PBMCs extracted from refed versus fasted steroid-naive asthmatics (Fig. 5B, 5C). To validate which cells secreted specific cytokines, IL-1β release was assayed in isolated BEAS-2B cells, and IL-17E and TSLP cytokine release was measured in isolated PBMCs in the presence of HDM. IL-1β was not detectable in BEAS-2B cells, and the levels of IL-17E and TSLP secreted from PBMCs were markedly lower than the levels released in response to HDM in coculture conditions (data not shown).

FIGURE 5.

Assessment of the fasting and refeeding effects on epithelial airway cell inflammation and the Th2 endotype. (A) IL-1β release from fasted or refed steroid-naive PBMCs cocultured with BEAS-2B lung epithelial cells incubated in their respective serum in the presence of HDM (n = 5). (B and C) IL-17E and TSLP release from BEAS-2B epithelial cells cocultured with PBMCs (n = 5). (D) mRNA expression of genes encoding NLRP3 and GATA3 from negatively selected CD4+ T cells from steroid-naive PBMCs [(E), n = 10]. (E) Representative protein levels of GATA3 in CD4+ T cells. (F) Quantification of GATA3 protein levels comparing fasted to refed states in steroid-naive subjects (n = 8). (G) IFN-γ, IL-4, and IL-17A cytokine release as measured by ELISA following the stimulation of fasted and refed PBMCs with PMA and ionomycin (n = 5). Statistical analysis using paired Student t test with p values shown in each panel. **p < 0.01.

FIGURE 5.

Assessment of the fasting and refeeding effects on epithelial airway cell inflammation and the Th2 endotype. (A) IL-1β release from fasted or refed steroid-naive PBMCs cocultured with BEAS-2B lung epithelial cells incubated in their respective serum in the presence of HDM (n = 5). (B and C) IL-17E and TSLP release from BEAS-2B epithelial cells cocultured with PBMCs (n = 5). (D) mRNA expression of genes encoding NLRP3 and GATA3 from negatively selected CD4+ T cells from steroid-naive PBMCs [(E), n = 10]. (E) Representative protein levels of GATA3 in CD4+ T cells. (F) Quantification of GATA3 protein levels comparing fasted to refed states in steroid-naive subjects (n = 8). (G) IFN-γ, IL-4, and IL-17A cytokine release as measured by ELISA following the stimulation of fasted and refed PBMCs with PMA and ionomycin (n = 5). Statistical analysis using paired Student t test with p values shown in each panel. **p < 0.01.

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In addition, given the emerging evidence supporting NLRP3 inflammasome induction of Th2 cell polarity (13), we assayed the transcript levels of NLRP3 and of the canonical Th2 transactivator GATA3 in CD4+ T cells. Transcript levels of both NLRP3 and GATA3 were significantly higher in the refed versus fasted CD4+ T cells (Fig. 5D). Furthermore, the steady-state levels of GATA3 were also significantly induced in CD4+ T cells isolated from the steroid-naive subjects in the refed state compared with the fasted state (Fig. 5E, 5F). To validate this T cell response to fasting and refeeding, we concurrently measured the secretion of the canonical CD4+ T cell cytokines, including IFN-γ, IL-4, and IL-17A, from PBMCs isolated from these subjects and exposed to PMA and ionomycin. In parallel with the gene and protein regulatory effects in CD4+ T cells, only the canonical Th2 cytokine (i.e., IL4) secretion was statistically significantly higher in the refed state compared with the fasting state (Fig. 5G).

In this pilot study, we show that fasting and refeeding modulate numerous aspects of immune regulation in asthma. These include evidence that fasting blunts the activation of the NLRP3 inflammasome, suppresses the expression of genes governing CD4+ Th2 cell activation, and reduces lung epithelial cell cytokine production in response to house dust mites. These immunomodulatory effects were evaluated relative to their activation following refeeding. These nutrient regulatory effects appear to be operational in myeloid, lymphoid, and epithelial cellular components of the asthmatic immune axis and suggest that nutrient level–sensing immunomodulatory programs may contribute to the pathophysiology of asthma.

The mechanisms underpinning caloric-load effects on immune activation are beginning to be explored and appear to be regulated at multiple levels. These include regulation at the level of changes in metabolic intermediates such as where levels of glucose and ketones modulate neuronal signaling response to either bacterial or viral infections (17) and β-hydroxybutyrate levels blocking NLRP3 inflammasome activation (18). Interestingly, the loss of mitochondrial integrity facilitates NLRP3 inflammasome activation (19), and fasting has been shown to blunt this inflammasome via the activation of the Sirt3 regulatory proteins that protect mitochondrial fidelity (7, 11). Conversely, in experimental models, the Western diet has been found to promote myeloid immunological reprograming with evidence of hyperresponsiveness to inflammatory triggers (20). Interestingly, the Western diet–mediated immune hyperresponsiveness is dependent on NLRP3 signaling (20). Whether and how the complex array of immunological pathways operational in asthma are regulated by nutrient levels has not been well characterized; however, in experimental studies, the NLRP3 inflammasome was required for high-fat diet–induced airway hyperreactivity (12) and the adipokine leptin, which is elevated in obesity, to induce Th2 and iLC2 responsiveness in experimental allergic airway disease (21). To explore the ameliorative effects of fasting, a larger asthmatic population study is required to both validate the findings from this pilot study and to enable the exploration of potential regulatory pathways underpinning these immune-modulatory effects.

An additional interesting aspect of this pilot study is that the inhaled corticosteroid–dependent asthmatic subjects did not show a blunted inflammasome response to fasting. Interestingly, glucocorticoids, acting through the glucocorticoid receptor, have been shown to upregulate NLRP3 at the transcriptional level with the subsequent sensitization of macrophages to inflammasome induction with the excess secretion of IL-1β and other pro- and anti-inflammatory cytokines (22). Our findings did not replicate this prior study, as we found that IL-1β release from THP-1 macrophages exposure was blunted by prior exposure to dexamethasone or cortisol. Taken together, our data suggest the inhaled corticosteroids may have indirect systemic effects on the NLRP3 inflammasome. This concept is interesting given that a large population study suggested that inhaled corticosteroids can increase cardiometabolic risk and metabolic syndrome, disease states that are linked to activation of the NLRP3 inflammasome (23). Given that inhaled corticosteroids are very effective in the control of mild to moderate asthma, it would be useful to explore in future studies whether caloric restriction interventions could still modulate adaptive and epithelial cell immunity in asthmatics who require corticosteroid therapy.

Our study did not show an effect of fasting on FeNO. This is in contrast to a prior study in which the contrary intervention (i.e., acute high-fat feeding) induced FeNO 2 h after the dietary intervention (24). It should be noted that this high-fat feeding intervention was performed in healthy volunteers and not in subjects with preexisting pulmonary inflammation. We also did not see any improvement in PFT measurements. This is in contrast to the alternate-day caloric restriction study in which asthmatics subjected to the consumption of 20% of their usual daily caloric intake on alternate days showed a significant improvement of their peak expiratory flow by 3 wk into the study with maintenance of this improvement for the duration of the 8-wk study (3). Given this, we would postulate that a single day of fasting was probably too acute a duration of caloric restriction to affect pulmonary function directly.

In conclusion, given the effects of obesity on asthma and the emerging demonstration of health benefits of fasting mimetic diets (5, 16), our findings in this pilot study support the concept that nutrient intervention studies may benefit asthmatics. In addition, the emerging role of the NLRP3 inflammasome in asthma and the development of pharmacologic antagonists have suggested that the NLRP3 inflammasome might be targeted as a new treatment approach (8, 25). Thus, our findings suggest that caloric restriction might be considered as a strategy to attenuate activation of the NLRP3 inflammasome and thereby ameliorate nutrient-level effects on systemic and pulmonary inflammation in asthma.

We are grateful to the asthmatic patients who agreed to participate in this study. We acknowledge the support of Dr. Myron A. Waclawiw of the National Heart, Lung, and Blood Institute Office of Biostatistics Research in the design of the protocol.

This work was supported by Division of Intramural Research/National Heart, Lung, and Blood Institute/National Institutes of Health Grants HL005199-09 (to M.N.S.) and HL006197-02 and HL006166-04 (both to S.J.L.).

The online version of this article contains supplemental material.

Abbreviations used in this article:

FeNO

fractional exhaled NO

FEV1

forced expiratory volume in 1 s

HDM

house dust mite extract

iLC2

innate type 2 lymphocyte

NIH

National Institutes of Health

NLRP3

Nod-like receptor pyrin domain 3

PFT

pulmonary function testing

TSLP

thymic stromal lymphopoietin.

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The authors have no financial conflicts of interest.

Supplementary data