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ORIGINAL RESEARCH

Caveolin-1 Promotes the Imbalance of Th17/Treg in Chronic Obstructive Pulmonary Disease by Regulating Hsp70 Expression

, , , , &
Pages 565-574 | Received 23 Nov 2022, Accepted 27 Mar 2023, Published online: 12 Apr 2023

Abstract

Objective

To investigate whether the expression of Hsp70 is associated with Cav-1 in promoting the imbalance of Th17/Treg cells in COPD.

Methods

The plasma Cav-1, Hsp70 expression were quantified by enzyme-linked immunosorbent assay (ELISA). The frequencies of circulating Th17, Treg cells and Th17/Treg ratio were determined by flow cytometry. Peripheral blood mononuclear cells (PBMCs) from subjects were transfected with Cav-1 or control plasmids and Hsp70 plasmid.

Results

We found that Cav-1 expression was lower but the levels of Hsp70 and Th17 cells were higher in COPD than in healthy control (HC). Hsp70 expressions were positively correlated with Cav-1 levels, Th17 cells, and Th17/Treg ratio in COPD but not in HC. Cav-1 over-expression resulted in an increase in Hsp70 and Th17 levels. Suppressing Hsp70 expressing by small interfering RNA (siRNA), the decline of Th17 frequency was observed in Cav-1-overexpressed PBMCs.

Conclusion

Collectively, our results illuminate that Cav-1 contributes to the imbalance of Th17/Treg through potentially regulating Hsp70 expression.

Introduction

Chronic obstructive pulmonary disease (COPD) is pathologically characterized by chronic and progressive inflammatory process caused by cigarette smoke, harmful particles or gases that are able to activate the cascade of inflammatory reactions.Citation1,Citation2 Although the immunopathogenesis of COPD remains unclear, the current researches indicate multiple immune cells (eg, neutrophils, macrophages, CD4+ and CD8+ T lymphocytes, etc) and inflammatory cytokines (eg, interleukin (IL)-22, IL-17, IL-6 and TGF-β, etc) are implicated in the pathophysiology and development of COPD.Citation3–5

Generally, bacteria and viruses are the most prevalent etiological agents (with 50–70% and 30%, respectively)Citation6 in acutely exacerbated COPD. CD4+ Th17 lymphocytes producing IL-17 are believed to participate in protection against microorganisms. It has been reported that IL-17A induces bronchial fibroblasts, epithelial cells and smooth muscle cells to synthesize proinflammatory cytokines responsible for the recruitment of neutrophils and their local infiltration.Citation7 In addition, it has also been reported that IL-17A recruits neutrophils and influences most cells in the lung parenchyma, including macrophages and dendritic cells(DCs), which express receptors for IL-17A and synthesize proinflammatory cytokines such as IL-6 and TNF-α.Citation8 These data suggest that Th17 cells play a vital role in the inflammatory reactions in COPD.

Caveolin (Cav)-1, a 21–22 kDa integral membrane protein, is considered as a potential important regulatory protein in the pathogenesis of chronic inflammatory diseases of the respiratory tract such as COPD.Citation3 Cav-1 expression is evident in immune c,ells such as monocytes, lymphocytes, macrophages, dendritic cells (DCs).Citation9,Citation10 It has been demonstrated that Cav-1 can regulate the maturation and differentiation of many immune cells by controlling signaling pathways.Citation11

The 70-kDa heat shock protein (Hsp70) is the most conserved and important member in the HSP family and plays a key role in the process of inflammation and innate immunity response under stressful events like bacterial or viral infections.Citation12–14 Njemini et alCitation15,Citation16 demonstrated that the serum levels of Hsp70 are directly related to the inflammatory status of the subjects and also undergo significant increases with increasing degree of inflammation. A recent paper revealed that heat-stressed exosomes originating from tumors (HS-TEXs) containing high levels of Hsp70 contributed to converting Treg cells into Th17 cells via IL-6.Citation17

Previous researches indicated that Cav-1 was linked with Hsp response.Citation18,Citation19 In one study from Bocanegra et al,Citation20 interactions between Cav-1 and HSPA/Hsp70 were observed in the rat kidney under experimental conditions. The exposure of human or mouse skin to sulfur mustard caused elevation of Cav-1, Hsp27, and Hsp70, and these proteins were localized in caveolae, which supports caveolae-mediated regulation of Hsp expression.Citation21 Wang et alCitation22 demonstrated that Cav-1 augmented Hsp70 up-regulation in Cav-1-mediated HIV envelope-induced bystander apoptosis. The study from Sun et al showed that Cav-1 promoted the imbalance of Th17/Treg in patients with COPD.Citation23 Thus, we hypothesize that Cav-1-mediated up-regulation of Hsp70 may be responsible for the imbalance of Th17/Treg in COPD.

In the present study, we examined the plasma levels of Cav-1 and Hsp70 as well as frequencies of circulating Th17 and Treg cells, and assessed the relationship between the expression of Cav-1 and Hsp70, and their association with frequency of Th17 or Treg cells as well as Th17/Treg ratio in COPD.

Materials and Methods

Subjects

Between June 2016 and August 2017, 58 subjects with COPD and 26 smokers with normal lung function as healthy control (HC) from the Affiliated Central Hospital of Qingdao University (Qingdao, China) were enrolled in this study. The age and sex of the control subjects matched with COPD patients. COPD was diagnosed according to the Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD) guidelines.Citation24 Fifty-eight patients were subdivided into two groups: 28 patients with clinically stable COPD (SCOPD) diagnosed according to GOLD criteria, and 30 patients with acute exacerbation COPD (AECOPD) defined by criteria described previously.Citation25 Inclusion and Exclusion criteria were executed as described in our previous work.Citation23 Simply, patients with either SCOPD or AECOPD treated without steroid for >3 months prior to collection of blood samples and a smoking history of more than 10 pack-years were enrolled in this study. The exclusion criteria included asthma, cardiac arrhythmias, and other relevant lung diseases such as lung cancer, known α1-antitrypsin deficiency, or other immune-related diseases. All subjects signed an informed consent, and reviewed the protocol. This study was approved by the Ethic Committee for Application of Human Samples, Qingdao University Medical College.

Blood Samples

Heparinized peripheral blood samples (10 mL) were collected from healthy subjects and COPD patients. Anti-coagulated whole blood (1 mL) is used for analysis of flow cytometer (FCM) within 4 h. Serum samples were kept frozen at −80°C for enzyme-linked immunosorbent assay (ELISA). Peripheral blood mononuclear cells (PBMCs) were isolated by using a Ficoll gradient (GE Healthcare Life Science, Shanghai, China) as previously describedCitation26 for further culture.

Cytokine ELISA

Levels of Cav-1 and Hsp70 were determined using commercially available ELISA kits (Cav-1 kit from USCN life Science, Inc., Wuhan, China; Hsp70 kit from R&D systems, Minneapolis, MN, USA) according to the manufacturer’s instructions.

Flow Cytometry Analysis

Aliquots of heparinized whole blood (100 μL) and cultured PBMCs were stained with FITC-conjugated, APC-conjugated, PerCP-Cy5.5-labeled, or PE-conjugated mAb against CD4, CD25, FoxP3, and IL-17 (BD Biosciences, San Jose, CA, USA). For intracellular cytokine staining of Foxp3 and IL-17, cells were stimulated with 50 ng/mL PMA (Alexis) and 1 μg/mL Ionomycin (Alexis) for 4 h, and then 100 μg/mL Brefeldin A (eBioscience) was added for the last 2 h; cells were then stained with intracellular cytokines after fixation and permeabilization according to the manufacturer’s instruction. Multicolor flow cytometric analyses were performed using flow cytometry (FCM) (FASCcan or FACS Vantage SE; BD Biosciences). Data analysis was performed using CellQuest software (BD Biosciences).

PBMCs Transfection

PBMCs freshly isolated were nucleofected with Cav-1 or control plasmids (Invitrogen, Carlsbad, CA) and Hsp70 plasmid (pIRES2-Hsp70, which was constructed as previously describedCitation27 using Nucleofector (Amaxa Biosystems, Cologne, Germany) as previously described.Citation23 For transient knockdown of Hsp70, siRNA against human Hsp70 (Hsp70-siRNA) and a scrambled siRNA for control (siRNA-Ctrl) were designed as previously described.Citation17 PBMCs were seeded into each well of 24-well plates and incubated in standard supplemented serum-free media (Gibco, Auckland, USA) overnight, and then transfected with siRNA using Nucleofector kit for human primary T cells (Amaxa, Gaithersburg, MD) according to the manufacturer’s instructions.

Statistical Analysis

Statistical analyses were performed using SPSS software (version 21.0; SPSS-IBM, Armonk, NY, USA). The differences between the two groups and differences among multiple groups were evaluated using Student’s t-test and one-way analysis of variance (ANOVA), respectively. Pearson correlation was applied to assess correlation analysis. A two-tailed p < 0.05 was considered as statistically significant.

Results

Patient Characteristics

In general, participant demographics were balanced among the three groups.

The severity of lung function impairment in patients with AECOPD was higher than SCOPD. The demographic and clinical data of the subjects are presented in .

Table 1 Demographic and Clinical Characteristics of All Subjects

Increased Hsp70 Expression and Th17 Cells Frequency in COPD Patients

ELISA analysis revealed that Cav-1 expression was higher but Hsp70 was lower in HC when compared with COPD patients. Alongside elevated Cav-1 levels, Hsp70 expression was significantly increased in acutely exacerbated COPD (AECOPD) compared with stable COPD (SCOPD) patients ( and ).

Figure 1 The serum levels of caveolin-1 (Cav-1) and Heat shock protein 70 (Hsp70) and frequencies of circulating Th17 and Treg cells in patients with chronic obstructive pulmonary disease (COPD) and healthy controls (HC) subjects. Cytokine-specific sandwich ELISA of serum from patients with COPD and HC were performed to measure the levels of circulating (a) Cav-1 and (b) Hsp70. Representative dot plots of CD4+ IL-17+ Th17 cells (c) and CD4+ CD25+ Foxp3+ Treg cells (e). CD25+ Foxp3+ T regulatory (Treg) cells were gated from CD4+ subset of CD3+ T cells. (d and f) Frequencies of CD4+ IL-17+ Th17 (Th17) cells and CD25+ Foxp3+ Tregs. (g) The ratio of Th17/Treg cells. Each symbol represents an individual subject. Data are shown mean ± SD; *p < 0.05, **p < 0.01 (HC, n=26; SCOPD, n=28; AECOPD, n=30).

Figure 1 The serum levels of caveolin-1 (Cav-1) and Heat shock protein 70 (Hsp70) and frequencies of circulating Th17 and Treg cells in patients with chronic obstructive pulmonary disease (COPD) and healthy controls (HC) subjects. Cytokine-specific sandwich ELISA of serum from patients with COPD and HC were performed to measure the levels of circulating (a) Cav-1 and (b) Hsp70. Representative dot plots of CD4+ IL-17+ Th17 cells (c) and CD4+ CD25+ Foxp3+ Treg cells (e). CD25+ Foxp3+ T regulatory (Treg) cells were gated from CD4+ subset of CD3+ T cells. (d and f) Frequencies of CD4+ IL-17+ Th17 (Th17) cells and CD25+ Foxp3+ Tregs. (g) The ratio of Th17/Treg cells. Each symbol represents an individual subject. Data are shown mean ± SD; *p < 0.05, **p < 0.01 (HC, n=26; SCOPD, n=28; AECOPD, n=30).

FCM analysis showed that the frequency of Th17 cells was significantly increased in COPD compared with HC ( and ). Treg frequency was obviously higher in SCOPD as compared to AECOPD and HC ( and ).

Th17/Treg ratio is the important indicator for the balance between the suppressive and pro-inflammatory subsets of CD4+ T cells. As shown in , the highest and lowest Th17/Treg imbalance ratio existed in AECOPD patients and SCOPD, respectively, compared with HC subjects ().

The Positive Correlation of Hsp70 with Cav-1 Expression, Th17 Cells Frequency and Th17/Treg Ratio in COPD but Not in HC

In HC, there was not a correlation of Hsp70 with Cav-1, the percentage of Th17, Treg cells or Th17/Treg ratio (). In contrast, the levels of Hsp70 displayed high degree of correlation with Cav-1 levels, frequency of Th17 and Treg and Th17/Treg ratio in COPD patients ( and ).

Figure 2 Correlation of serum Hsp70 levels with serum Cav-1 expression and immune parameters of patients with COPD. Correlation between serum levels of Hsp70 and Cav-1 expression, Th17 or Treg cells frequency and the ratio of Th17/Treg cells in (a) HC group (n=26), (b) SCOPD group (n=28), and (c) AECOPD group (n=30). Each symbol represents an individual subject.

Figure 2 Correlation of serum Hsp70 levels with serum Cav-1 expression and immune parameters of patients with COPD. Correlation between serum levels of Hsp70 and Cav-1 expression, Th17 or Treg cells frequency and the ratio of Th17/Treg cells in (a) HC group (n=26), (b) SCOPD group (n=28), and (c) AECOPD group (n=30). Each symbol represents an individual subject.

Dysregulation of Cav-1 Affects the Frequencies of Treg and Th17 Cells via Regulating Hsp70 Expression

To explore whether Cav-1 affects Hsp70 expression, PBMCs from patients with COPD were transfected with either Cav-1-plasmid or Cav-1-siRNA for 24 h as described in “Materials and Methods”. As shown in , using the Cav-1 specific plasmid or siRNA, Cav-1 protein expression was effectively increased or reduced, respectively. Hsp70-specific ELISA analysis showed that the overexpression of Cav-1 resulted in the up-regulation of Hsp70, whereas inhibition of Cav-1 expression gave rise to the decline of Hsp70 (). These data suggested that Cav-1 potentially regulated Hsp70 expression. To further test this possibility, we analyzed Hsp70 mRNA levels by qRT-PCR in PBMCs transfected with Cav-1-siRNA for various times. We found that mRNA levels of Hsp70 decreased with the inhibition of Cav-1 ().

Figure 3 Effect of Cav-1 levels on Hsp70 expression. PBMCs were transfected with Cav-1-plasmid or mock, Cav-1 siRNA or control siRNA as described in the “Materials and Methods” section. (a) After 36 h, Cav-1 expression in the cells was detected by Western blot. Representative blots of three independent experiments are shown. GAPDH was used as a loading control. o/e: overexpression. (b) After 48 h, Hsp70 levels in supernatants were measured by ELISA. Each data point represents an individual subject; data are shown as mean ± SD; *p<0.05, **p<0.01 (SCOPD, n=30; AECOPD, n=28). (c) Relative Hsp70 mRNA in PBMCs were transfected with Cav-1 siRNA for indicated times. Data are shown mean ± SD (n=3); *p < 0.05, **p < 0.01. Similar results were obtained in at least three independent experiments.

Figure 3 Effect of Cav-1 levels on Hsp70 expression. PBMCs were transfected with Cav-1-plasmid or mock, Cav-1 siRNA or control siRNA as described in the “Materials and Methods” section. (a) After 36 h, Cav-1 expression in the cells was detected by Western blot. Representative blots of three independent experiments are shown. GAPDH was used as a loading control. o/e: overexpression. (b) After 48 h, Hsp70 levels in supernatants were measured by ELISA. Each data point represents an individual subject; data are shown as mean ± SD; *p<0.05, **p<0.01 (SCOPD, n=30; AECOPD, n=28). (c) Relative Hsp70 mRNA in PBMCs were transfected with Cav-1 siRNA for indicated times. Data are shown mean ± SD (n=3); *p < 0.05, **p < 0.01. Similar results were obtained in at least three independent experiments.

Cav-1-overexpressed and -suppressed PBMCs were then treated with Hsp70-specific siRNA and Hsp70 expression plasmids, respectively. Western blot analysis revealed that the protein levels of Hsp70 in Cav-1-overexpressed PBMCs were significantly decreased by Hsp70-siRNA compared with matched controls (), and Hsp70 overexpression could rescue the decline of Hsp70 levels in Cav-1-specific siRNA-pretreated PBMCs (). In addition, Hsp70-siRNA resulted in the reduction of Th17 frequency and elevation of Treg frequency in Cav-1-overexpressed PBMCs ( and ). Similarly, Hsp70 overexpression increased Th17 frequency and diminished the expression of Treg cells in Cav-1-siRNA-pretreated PBMCs ( and ). These results further support Cav-1 disrupting balance between Th17 and Treg cells through modulating Hsp70 expression.

Figure 4 Cav-1 regulates the frequencies of Th17 and Treg cells by modulating Hsp70 levels in PBMCs from COPD patients and healthy control subjects. PBMCs were transfected with Cav-1-plasmid or mock, Hsp70-plasmid or mock as described in (4a). After 36 h, the cells were transfected with Hsp70-specific siRNA or control siRNA and with Cav-1-specific siRNA or control siRNA as indicated. After 36 h, (a and d) Cav-1 and Hsp70 expression in part cells were determined by Western Blot. Representative blots of three independent experiments are shown. GAPDH was used as a loading control. o/e: overexpression. After 48 h, another part was stimulated with PMA (50 ng/mL) and Ionomycin (1 μg/mL) for 4 h. Subsequently, cells were examined (b and e) frequencies of Th17 and (c and f) Treg cells by FCM. Data are shown mean ± SD (n=3); *p < 0.05, **p < 0.01. Similar results were obtained in at least three independent experiments.

Figure 4 Cav-1 regulates the frequencies of Th17 and Treg cells by modulating Hsp70 levels in PBMCs from COPD patients and healthy control subjects. PBMCs were transfected with Cav-1-plasmid or mock, Hsp70-plasmid or mock as described in (4a). After 36 h, the cells were transfected with Hsp70-specific siRNA or control siRNA and with Cav-1-specific siRNA or control siRNA as indicated. After 36 h, (a and d) Cav-1 and Hsp70 expression in part cells were determined by Western Blot. Representative blots of three independent experiments are shown. GAPDH was used as a loading control. o/e: overexpression. After 48 h, another part was stimulated with PMA (50 ng/mL) and Ionomycin (1 μg/mL) for 4 h. Subsequently, cells were examined (b and e) frequencies of Th17 and (c and f) Treg cells by FCM. Data are shown mean ± SD (n=3); *p < 0.05, **p < 0.01. Similar results were obtained in at least three independent experiments.

Discussion

Previous studies have reported that Cav-1 and Hsp70 are involved in differentiation of Th17 and Treg cell.Citation17,Citation28 However, the associations of Cav-1 with Hsp70 and Th17 or Treg cells have not been studied in patients with COPD. It has been demonstrated that Cav-1 is able to augment Hsp70 expression in HIV envelope-induced bystander apoptosis.Citation22 We determined that Hsp70 expression was positively correlated with Cav-1 levels and Th17 frequency in patients with COPD but not in HC. In addition, in Cav-1-overexpressed PBMCs, we demonstrated that suppressing Hsp70 expression resulted in the decrement of Th17 frequency. These findings suggest that Cav-1 might promote the increased levels of Hsp70 thereby to affect the proportion of Th17 and Treg cells in COPD.

Cav-1 serves as a potential critical regulatory protein in the pathogenesis of chronic inflammatory diseases such as COPD and asthma.Citation3 Several groups reported that the levels of Cav-1 were obviously declined in asthma and COPD.Citation23,Citation29 We also showed Cav-l levels were lower in COPD than HC. A recent study has shown that the Cav-l peptide increased Hsp70 expression in a dose-dependent manner.Citation22 Moreover, Bocanegra and coworkersCitation20 demonstrated that Hsp70 was present in Cav-1 immunoprecipitates prepared from cortical cytosol and membrane fractions, suggesting the potential association of Cav-1 with Hsp70. In this study, Cav-1 levels displayed high degree of Hsp70 expression in COPD. In addition, inhibiting Cav-1 expression by siRNA resulted in decline of Hsp70 levels in PBMC from subjects. Unfortunately, the mechanisms underlying Hsp70 being uncorrelated with Cav-1 levels in HC are currently unknown.

HSPs were at increased levels in the various infectious diseases caused by bacterial and protozoan pathogens.Citation30,Citation31 Generally, COPD patients tend to experience frequent exacerbations induced by bacteria and viruses, and it has been revealed that Hsp70 was involved in the pathogenesis of COPD.Citation32 Studies by Lim et alCitation33 showed that extracellular Hsp70 can activate the innate immune system in the presence of inflammation or other stress. Recent studiesCitation34–36 reported that the serum levels of Hsp70 rose in COPD patients and higher levels of plasma Hsp70 might be correlated with an increased risk of COPD among coal workers. In addition, Dong et alCitation37 displayed that both mRNA and protein levels of Hsp70 in lung tissues were correlated with COPD disease severity. We observed that Hsp70 expressions were higher in COPD patients than in HC, and that the highest levels of Hsp70 existed in AECOPD.

Th17 and Tregs are subsets of T cell population and play a major role in modulating various inflammatory disease conditions. Th17 cells are considered as the critical proinflammatory mediators, with the production of IL-17, IL-22, and IL-21. It has been shown that these cytokines can induce the secretion of CXCL8, CXCL5 and GM-CSF by airway epithelial, thereby contributing to migration of neutrophils to the inflammation region.Citation38 In contrast, Treg cells suppress the immune response and inflammation through synthesizing anti-inflammatory mediators IL-10 and TGF-β.Citation39,Citation40 The recent observations showed increased levels of Th17 cells in the bronchial mucosa and peripheral blood of COPD patients.Citation41–44 In the present study, the percentage of Th17 cells was significantly increased in COPD (especially in AECOPD patients) compared to HC. In addition, we detected significantly higher frequency of Tregs in SCOPD, but lower in AECOPD, as compared with that in the HC. Several recent studies showed an imbalance in Th17 and Treg cells in COPD.Citation45–47 We found Th17 to Tregs ratio was higher in AECOPD but lower in SCOPD than in HC. These findings were consistent with a previous study.Citation43

It has been reported that Cav-1 augments Hsp70 up-regulationCitation22 and Hsp70 contributes to converting Treg cells into Th17 cells via IL-6.Citation17 In addition, Guo and workersCitation17 reported that HS-TEXs (containing high levels of Hsp70) converted Treg into Th17 cells in tumor tissues in a Hsp70-dependent manner. And we also found the positive correlation of Cav-1 levels with Hsp70 expression in COPD. Based on these data, we speculate that Cav-1 may disrupt the imbalance of Th17/Treg cells through modulating Hsp70 expression in COPD. To further verify this idea, we conducted the overexpression of Hsp70 in Cav-1-siRNA-pretreated PBMCs and the down-regulation of Hsp70 in Cav-1-overexpressed PBMCs from patients with COPD, and found that the expression of Hsp70 was directly associated with the percentages of Th17 and Treg cells. These findings further support that Cav-1 promotes the disequilibrium between Th17 and Treg cells via potentially affecting Hsp70 expression.

The main limitation of this study is that specimens only from peripheral blood and not airway are employed. So, more studies are needed to explore the mechanisms of Cav-1 and Hsp70 promoting the imbalance of Th17 and Treg cells in COPD patients.

In conclusion, our findings have demonstrated that Cav-1 contributes to the imbalance Th17/Treg through modulating Hsp70 expression in COPD. Moreover, our results further show that there is an excellent relation of Hsp70 expression with Cav-1 levels and the frequencies of Th17 and Treg in COPD. Further studies are needed to explore the detailed mechanisms of Cav-1 regulating Hsp70 in COPD patients. There are still some shortcomings in our study, for instance, the small sample size.

Compliance with Ethics Guidelines

This study was conducted following the Declaration of Helsinki and all applicable national and international ethical guidelines for medical and health research involving human participants.

Disclosure

The authors declare that they have no conflicts of interest in this work.

Acknowledgments

We acknowledge Dr Chunling Zhang for helpful discussions. We also thank Peng Zhao for her assistance in experimental procedures.

Additional information

Funding

This work was supported by Qingdao Outstanding Health Professional Development Fund; Qingdao 2017, 2018 medical and health research plan project (2017-WJZD061, 2018-WJZD048); Qingdao Science and Technology Project (for Benefiting the People, 19-6-1-27-nsh) and Qingdao Key Disciplines of Traditional Chinese Medicine. This work is also partially supported by Medical and Health Technology Development Program of Shandong Province (No. 2016WS0324) and Qing Dao Expert Workstation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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