Introduction

Chronic obstructive pulmonary disease (COPD) is a common chronic inflammatory respiratory disease mainly caused by cigarette smoking (CS) [1, 2]. Smoking-induced COPD is partly related to the inflammation, which can also give rise to the elevation of reactive oxygen species resulting in oxidative stress activation [3, 4]. Besides, it has been proposed that increased apoptosis mechanisms are positively implicated in COPD pathogenesis [5]. Bronchial epithelial cells are the first barrier to protect airways against harmful substances, the integrity of which is responsible in response to CS [6]. Therefore, in-depth investigations on the molecular mechanism underlying bronchial epithelial cell disruption is of great importance for preventing COPD progression.

Circular RNAs (circRNAs) are a new kind of non-coding molecules possessing a covalently closed continuous loop, so they are failed to be degraded by RNase R exonuclease and more stable than linear RNA [7, 8]. CircRNAs are widely identified in the eukaryotes, and emerging reports suggest that they are engaged in modulating important biological processes [9, 10]. Recently, some reports proposed that dysregulated expression of circRNAs is tightly related to the initiation and progression of CODP. Zheng et al. showed that silencing of circ-OSBPL2 could suppress human bronchial epithelial cells (HBECs) injury in smoke-related COPD by repressing BRD4 through sponging miR-193a-5p [11]. Down-regulation of circ-HACE1 was found to protect HBECs from cigarette smoke extract (CSE)-induced inflammatory response, oxidative stress and apoptosis by miR-485-3p/TLR4 axis [12]. Zhou’s team showed that circFOXO3 knockdown might exert protective effects against pneumonic inflammation in CS-exposed COPD mice model through repressing IKK-β via miR-214-3p [13]. Circ_0006872 is generated by the back-splicing of ASCC3 gene on chr6: 101,073,067–101,086,697. A previous study manifested that circ_0006872 level was higher in COPD patients, and might contribute to CSE-triggered HBECs damage through miR-145-5p/NF-κB pathway [14]. However, large-scale identifications of the mechanism underlying circ_0006872 in CSE-induced HBEC dysfunction were not yet reported.

Hence, this study used CSE-treated 16HBECs, a human bronchial epithelial cell line, to mimic CS-induced COPD in vitro, then the functions of circ_0006872 on CSE-evoked bronchial epithelial cell injury were investigated. It has been proposed that circRNAs can act as the sponges for microRNA (miRNA/miR) to participate in the process of gene translation, namely competitive endogenous RNA (ceRNA) hypothesis [15, 16]. Furthermore, the underlying miRNA/mRNA axis of circ_0006872 on CSE-induced 16HBEC injury was also explored to state the potential regulatory network of circ_0006872 in COPD.

Materials and methods

Subjects

Blood samples (5 mL) were collected from non-smokers without COPD (n = 35), and smokers without (n = 35) or with COPD (n = 35). All subjects were recruited at Tongde hospital of Zhejiang Province. The diagnosis of COPD patients was based on the guidelines of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) [17]. The exclusion criteria included interstitial lung diseases, asthma, neuromuscular disease, and/or heart failure.

Cigarette smoke extract (CSE) preparation

The mainstream smoke from two cigarettes (Jinsheng Tobacco Corporate Ltd., Nanchang, China) containing 0.1 g nicotine was bubbled through 20 mL of cell growth medium. After removing insoluble particles by filtration with a 0.22 μm filter membrane (Merck Millipore, Shanghai, China), the resultant CSE solution was collected and regarded as 100% CSE solution, and then was diluted with serum-free medium into different concentrations for the use in experiments within 1 h.

Cell culture and treatment

16HBECs were obtained from Procell (Wuhan, China) and grown in RPMI1640 medium (Gibco, Shanghai, China) plus 1% penicillin/streptomycin (Gibco) and 10% FBS (Gibco) at 37 ℃ with 5% CO2. The prepared 16HBECs at 70–80% confluence were exposed to different concentrations of CSE for 24 h for experimental purpose.

Cell transfection

Small interfering RNA (siRNA) targeting circ_0006872 or CDKN1B (si-circ_0006872 or si-CDKN1B) and the nontarget siRNA (si-NC), miR-485-3p mimic (miR-485-3p), inhibitor (anti-miR-485-3p) and negative control oligos (miR-NC or anti-miR-NC), pcDNA3.1 CDKN1B overexpression plasmids (CDKN1B) and scrambled pcDNA3.1 plasmids (pcDNA) was constructed by Sangon (Shanghai, China). After 48 h of transfection, 16HBECs were incubated with 2% CSE for 24 h to conduct subsequent functional experiments.

Reverse transcription, RNase R digestion and qRT-PCR

Total RNA was extracted by the use of TRIzol reagent (Takara, Dalian, China). Approximately 3 µg of total RNAs were mixed with RNase R (3 U/µg) or Mock for 30 min incubation at 37 ℃. The PrimeScript RT Reagent Kit (Takara) was applied for the generation of first-strand cDNA, then qRT-PCR analysis with the TB Green Premix Ex Taq II (Takara) was carried out. U6 or β-actin was utilized as an internal control. The sequences of primers were listed in Table 1.

Table 1 Primers sequences used for qRT-PCR

Cell counting kit-8 (CCK-8) assay

Single 16HBEC suspensions (1 × 105 cells/mL) were cultivated in a 96-well plate (0.1 mL per well) overnight, then per well was added with 10 µL CCK-8 solution for 2 h incubation. At last, OD values at 450 nm were read using a microplate reader (Bio-Rad, Hercules, CA, USA) to represent cell viability ability.

EdU assay

16HBECs were seeded into a 24-well plate all night and incubated with 50 µM EdU labeling solution (RiboBio) in growth medium for 3 h. Then cells were stained with Click-It reaction mixture for 30 min, followed by DAPI staining. Finally, a fluorescence microscope (Leica, Wetzlar, Germany) was utilized to observe and test EdU positive cells.

Flow cytometry

16HBECs were harvested and resuspended in buffer solution (500 µL) to the density of 1 × 106 cells/mL. Then cells (1 × 105) were then stained with Annexin V-FITC and propidium iodide (KenGen Biotech, Nanjing, China) for 20 min under darkness. Cell apoptosis was detected by flow cytometer within 1 h.

Western blotting

RIPA lysis buffer (KenGen Biotech) harboring 1% proteinase inhibitor was applied for proteins extraction. Then 40 µg of proteins were separated by 8% SDS-PAGE and electrophoretically transferred onto cellulose nitrate membranes. After 1 h block by 5% skim milk powder at 37 ℃, membranes were incubated with the specific primary antibodies against CDKN1B (ab32034, 1:1000), Bcl-2 (ab692, 1:1000), Bax (ab32503, 1:1000), and GAPDH (ab181602, 1:10000) (Abcam, Cambridge, MA, USA) at 4 ℃overnight, followed by probing with secondary antibody (D110058, 1:4000, Sangon Biotech, Shanghai, China) for 2 h at 37 ℃. Protein bands were quantified using an ECL reagent (Beyotime).

ELISA

The culture supernatant of indicated 16HBECs were collected, and then levels of interleukin (IL)-6 and tumor necrosis factor-α (TNF-α) were measured as per the instructions of the corresponding ELISA kits (Abcam).

Measurement of superoxide dismutase (SOD)

16HBECs were lysed using RIPA lysis buffer (KenGen Biotech) and SOD content was determined using a commercial Superoxide Dismutase (SOD) assay kit. Finally, the OD value at 450 nm was assayed.

Dual-luciferase reporter assay

The fragments of circ_0006872 or CDKN1B 3’UTR comprising the binding sites of miR-485-3p or the mutant version without miR-485-3p binding sites were amplified and cloned into psiCHECK™-2 vector (Promega, Madison, WI, USA) to construct wild-type (WT) or mutated (MUT) luciferase reporter vector, named as WT/MUT-circ_0006872 or WT/MUT-CDKN1B 3ʹUTR. Then 50 ng above recombinant plasmids and 50 nM miR-485-3p mimic or the control (miR-NC) were co-transfected into 16HBECs, and firefly activities were detected following 48 h of transfection.

RNA pull-down assay

Biotin-labeled miR-485-3p probe (bio-miR-485-3p) and nonsense control probe (bio-miR-NC) were synthesized by Geneseed Biotech (Shanghai, China) and then incubated with 16HBECs for 2 h. After lysing, the lysates of 16HBECs were incubated with M-280 Streptavidin magnetic beads for 1 h. Finally, the abundance of circ_0006872 or CDKN1B was analyzed.

Statistical analysis

The data from three repetitions were exhibited as mean ± standard deviation (SD). Student’s t test, Mann-Whitney or Analysis of Variance (ANOVA) followed by Tukey’s post-test was used for the group comparisons. Pearson’s correlation coefficient assay was used for correlation analysis between two variables. *P < 0.05, **P < 0.01, ***P < 0.001 or ****P < 0.0001 suggested statistically significant.

Results

CSE treatment induces 16HBECs imjury

To investigate the effects of CS on bronchial epithelial cells, 16HBECs were exposed to different concentrations of CSE (1%, 2%, or 4%) for 24 h. CSE treatment induced arrest of 16HBEC viability and DNA synthesis activity in a dose-dependent manner (Fig. 1A, B). On the contrary, CSE treatment dose-dependently evoked apoptosis in 16HBECs (Fig. 1C), accompanied with the increase of Bax and decrease of Bcl-2 in 16HBECs (Fig. 1D, E). Besides, with the increasing concentrations of CSE, the release of IL-6 and TNF-α was significantly enhanced (Fig. 1F). Moreover, CSE exposure had obstructive effects on SOD content, an endogenous antioxidant enzyme, since SOD level declined upon the exposure of increasing doses of CSE in (Fig. 1G). Thus, these data suggested that CSE could lead to 16HBECs injury.

Fig. 1
figure 1

CSE treatment induces 16HBECs injury. A–G 16HBECs were exposed to different concentrations of CSE (1%, 2%, or 4%) for 24 h. Analyses of (A, B) 16HBEC proliferation, and C apoptosis. D, E Levels of Bax and Bcl-2 in 16HBECs. F Detection of IL-6 and TNF-α contents in 16HBECs. G Measurement of SOD content in 16HBECs using a commercial kit. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

Knockdown of circ_0006872 attenuates CSE-induced 16HBEC injury

As shown in Fig. 2A, the level of circ_0006872 was higher in smokers with or without COPD than those in non-smokers, especially in COPD group. In addition, circ_0006872 expression was dose-dependently elevated by CSE treatment in 16HBECs (Fig. 2B). Additionally, the experiment showed that RNase R could rapidly degrade linear GAPDH rather than circ_0006872 in 16HBECs, indicating the round structure of circ_0006872 (Fig. 2C). Thereafter, the impacts of circ_0006872 on CSE-induced bronchial epithelial injury were elucidated. Following the transfection of circ_0006872 siRNA in 16HBECs, cells were exposed to 2% CSE for 24 h, then we observed that si-circ_0006872 introduction reduced CSE-induced elevation of circ_0006872 in 16HBECs (Fig. 2D). Functionally, it was proved that circ_0006872 silencing reversed CSE-induced proliferation arrest (Fig. 2E, F) and apoptosis (Fig. 2G, H) in 16HBECs. Furthermore, both the up-regulations of IL-6 and TNF-α mediated by CSE were attenuated by circ_0006872 down-regulation in 16HBECs (Fig. 2I). Besides that, circ_0006872 deletion rescued CSE-evoked decrease of SOD content in 16HBECs (Fig. 2J).

Fig. 2
figure 2

Knockdown of circ_0006872 attenuates CSE-induced 16HBEC injury. A The expression level of circ_0006872 was detected using qRT-PCR in non-smokers (n = 35), smokers (n = 35), and smokers with COPD (n = 35). B Levels of circ_0006872 in 16HBECs exposed to different concentrations of CSE. C Stability analysis by RNase R treatment. DJ 16HBECs were transfected with si-circ_0006872 or si-NC and then exposed with 2% CSE for 24 h. D Transfection efficiency. E, F 16HBEC proliferation analysis. G 16HBEC apoptosis detection. H Levels of Bax and Bcl-2 in 16HBECs. I Levels of IL-6 and TNF-α in 16HBECs. J Measurement of SOD content in 16HBECs using a commercial kit. **P < 0.01, ***P < 0.001, ****P < 0.0001

Circ_0006872 acts as a sponge for miR-485-3p

Circinteractome database predicted that circ_0006872 possesses the binding site of miR-485-3p (Fig. 3A). The miR-485-3p expression was significantly elevated after miR-485-3p mimic introduction in 16HBECs (Fig. 3B). Then we found that miR-485-3p mimics could overtly reduce the luciferase activity of WT group but not the mutant one in 16HBECs (Fig. 3C). Moreover, circ_0006872 was found to be significantly enriched in bio-miR-485-3p group in 16HBECs (Fig. 3D). Thereafter, it was proved that miR-485-3p expression was decreased in smokers, especially in smokers with COPD (Fig. 3E), which was negatively correlated with circ_0006872 expression in COPD patients (Fig. 3F). Besides that, we also showed that CSE treatment dose-dependently decreased miR-485-3p in 16HBECs (Fig. 3G).

Fig. 3
figure 3

Circ_0006872 acts as a sponge for miR-485-3p. A The binding site of miR-485-3p on circ_0006872 predicted by circinteractome database was listed. B The transfection efficiency detection. C, D The interaction between miR-485-3p and circ_0006872 was confirmed using dual-luciferase reporter assay and RNA pull-down assay. E The expression level of miR-485-3p was detected using qRT-PCR in non-smokers (n = 35), smokers (n = 35), and smokers with COPD (n = 35). F The correlation between miR-485-3p and circ_0006872 expression level in smokers with COPD (n = 35) was analyzed by Pearson’s correlation coefficient assay (r=-0.8966, P < 0.001). G Levels of miR-485-3p in16HBECs exposed to different concentrations of CSE. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

Knockdown of circ_0006872 attenuates CSE-induced 16HBEC injury via miR-485-3p

To investigate whether circ_0006872 exerted its functions by miR-485-3p, 16HBECs were co-transfected with si-circ_0006872 and/or anti-miR-485-3p, followed by 2% CSE exposure for 24 h. As expected, miR-485-3p inhibitor reduced circ_0006872 knockdown-induced elevation of miR-485-3p in 16HBECs under CSE treatment (Fig. 4A). Functionally, miR-485-3p lack attenuated circ_0006872 down-regulation-evoked promotion of cell proliferation (Fig. 4B–D), arrest of cell apoptosis (Fig. 4E, F), reduction of IL-6 and TNF-α levels (Fig. 4G), as well as elevation of SOD content (Fig. 4H) in 16HBECs exposed with 2% CSE.

Fig. 4
figure 4

Knockdown of circ_0006872 attenuates CSE-induced 16HBEC injury via miR-485-3p. A–H 16HBECs were co-transfected with si-circ_0006872 and/or anti-miR-485-3p, followed by 2% CSE exposure for 24 h. A Transfection efficiency. BD 16HBEC proliferation analysis. E 16HBEC apoptosis detection. F Levels of Bax and Bcl-2 in 16HBECs. G Levels of IL-6 and TNF-α in 16HBECs. H Measurement of SOD content in 16HBECs using a commercial kit. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

CDKN1B is targeted by miR-485-3p, and circ_0006872/miR-485-3p/CDKN1B constitutes a feedback loop in 16HBECs

Next, starbase software showed that CDKN1B contains conserved target site of miR-485-3p (Fig. 5A). Then it was showed the luciferase activity of wild-type CDKN1B 3′UTR reporter vector was significantly reduced by miR-485-3p overexpression (Fig. 5B). Besides that, RNA pull-down analysis indicated a specific enrichment of CDKN1B in the biotin-labeled miR-485-3p probe group (Fig. 5C). CDKN1B mRNA was found to be increased in smokers, especially in smokers with COPD (Fig. 5D), and was negatively correlated with miR-485-3p expression in COPD patients (Fig. 5E). Similarly, its protein expression was also elevated in smokers with COPD (Fig. 5F). In addition, CSE dose-dependently elevated CDKN1B expression in 16HBECs (Fig. 5G). Importantly, circ_0006872 down-regulation was accompanied by the decrease of CDKN1B, which was subsequently rescued by miR-485-3p inhibitor (Fig. 5H). In all, circ_0006872 could indirectly regulated CDKN1B through sponging miR-485-3p in 16HBECs.

Fig. 5
figure 5

CDKN1B is a target of miR-485-3p, and circ_0006872/miR-485-3p/CDKN1B constitutes a feedback loop in 16HBECs. A The conserved target site of miR-485-3p on CDKN1B predicted by starbase software was listed. B, C The interaction between miR-485-3p and CDKN1B was confirmed using dual-luciferase reporter assay and RNA pull-down assay. D Levels of CDKN1B mRNA in non-smokers (n = 35), smokers (n = 35), and smokers with COPD (n = 35). E The correlation between miR-485-3p and CDKN1B mRNA expression level in smokers with COPD (n = 35) was assessed by Pearson’s correlation coefficient assay (r=-0.8606, p < 0.001). F CDKN1B protein level in non-smokers (n = 35), smokers (n = 35), and smokers with COPD (n = 35). G CDKN1B expression in 16HBECs exposed to different concentrations of CSE. H The impacts of circ_0006872/miR-485-3p axis on CDKN1B expression in 16HBECs under CSE treatment. **P < 0.01, ***P < 0.001, ****P < 0.0001

CDKN1B silencing reverses CSE-induced 16HBEC injury

Next, we evaluated the functions of CDKN1B on CSE-induced bronchial epithelial injury. CDKN1B siRNAs were established to knock down CDKN1B expression in 16HBECs. As exhibited in Fig. 6A, the introduction of si-CDKN1B in 16HBECs significantly reduced CSE-evoked elevation of CDKN1B expression level. Then transfected 16HBECs were treated with 2% CSE for 24 h. In CCK-8 and EdU assays, CDKN1B knockdown suppressed CSE-induced inhibition of 16HBEC proliferation (Fig. 6B–D). Flow cytometric analysis suggested that the apoptosis of CSE-induced 16HBECs was decreased after CDKN1B silencing (Fig. 6E). And western blotting showed the decrease of Bax protein level and increase of Bcl-2 level in 16HBECs after CDKN1B down-regulation in the presence of CSE (Fig. 6F). Additionally, CDKN1B depletion in ELISA analysis gave rise to IL-6 and TNF-α release enhancement in CSE-induced 16HBECs (Fig. 6G). In final SOD measurement, a remarkable elevation of SOD level was unveiled in response to CDKN1B siRNA in CSE-treated 16HBECs (Fig. 6H). These data suggested that knockdown of CDKN1B protected CSE-induced 16HBEC injury.

Fig. 6
figure 6

CDKN1B silencing reverses CSE-induced 16HBEC injury. AH 16HBECs were transfected with si-CDKN1B or si-NC, followed by treatment with 2% CSE for 24 h. (A) Transfection efficiency. BD 16HBEC proliferation analysis. E 16HBEC apoptosis detection. F Levels of Bax and Bcl-2 in 16HBECs. G Levels of IL-6 and TNF-α in 16HBECs. H Measurement of SOD content in 16HBECs using a commercial kit. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

Mir-485-3p protects 16HBEC from CSE-induced injury via CDKN1B

In order to investigate the action of miR-485-3p/CDKN1B axis on CSE-induced bronchial epithelial injury, we conducted rescue experiments by transfecting miR-485-3p mimics and/or CDKN1B overexpression plasmids into 16HBECs. After treating with 2% CSE for 24 h, the transfection efficiency was validated by CDKN1B expression in 16HBECs (Fig. 7A). Functionally, 16HBEC proliferative ability was potentiated upon miR-485-3p overexpression in the presence of CSE, while CDKN1B overexpression could reverse this condition (Fig. 7B–D). Furthermore, miR-485-3p mimic reversed CSE evoked apoptosis in 16HBECs, and this phenomenon was counteracted via CDKN1B up-regulation (Fig. 7E, F). Both the increases of IL-6 and TNF-α mediated by CSE in 16HBECs were reduced by miR-485-3p mimic, and subsequently promoted in response to CDKN1B plasmids (Fig. 7G). In addition, the SOD content was increased with miR-485-3p mimic introduction in CSE-induced 16HBECs, which was abolished by CDKN1B overexpression (Fig. 7H). Collectively, miR-485-3p suppressed CSE-induced16HBEC injury via CDKN1B.

Fig. 7
figure 7

miR-485-3p protects 16HBEC from CSE-induced injury via CDKN1B. AH 16HBECs were co-transfected with miR-485-3p mimics and/or CDKN1B overexpression and then treated with 2% CSE for 24 h. A Transfection efficiency. BD 16HBEC proliferation analysis. E 16HBEC apoptosis detection. F Levels of Bax and Bcl-2 in 16HBECs. G Levels of IL-6 and TNF-α in 16HBECs. H Measurement of SOD content in 16HBECs using a commercial kit. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

Discussion

As the fourth leading cause of death through the world, over 40% of COPD deaths are attributed to smoking [18, 19]. Long-term exposure to CS is the leading cause of COPD through inducing the activation of epithelial cells and macrophages to cause apoptosis and inflammation and the subsequent release of mediators in response to oxidative stress [20]. Studies have exhibited that circRNA dysregulation is related to CSE-induced HBECs damage [11, 12, 21]. CircRNAs hold great promise as potential biomarkers in COPD since their highly stable structure and ubiquitous abundance in eukaryotes [22]. In our study, we found an increased circ_0006872 in smokers without or with COPD, especially in smokers with COPD. Furthermore, its expression was also up-regulated by CSE exposure in 16HBECs in a dose-dependent manner. Furthermore, deletion of circ_0006872 abolished CSE-triggered proliferation arrest, inflammation, apoptosis, and oxidative stress in 16HBECs. Thus, we speculated that knockdown of circ_0006872 might exert protective effects against CS-evoked bronchial epithelial cell injury in the process of COPD.

According to the ceRNA hypothesis [15, 16], circRNAs are able to act as miRNA sponges to extricate the degradation of the downstream mRNA mediated by miRNAs. Thus, the underlying miRNA/mRNA axis of circ_0006872 in 16HBECs was explored. This work confirmed the circ_0006872/miR-485-3p/CDKN1B feedback loop in 16HBECs. Previous studies have showed the implication of miRNAs in multiple processes of COPD, modulating pathways related to apoptosis, inflammation and stress response [23,24,25]. miR-485-3p had been unveiled to be down-regulated in patients with COPD [26]. Besides that, miR-485-3p could attenuate CSE-triggered 16HBEC dysfunction via circ-HACE/miR-485-3p/TLR4 axis [12]. Consistent with previous findings, we also confirmed the protective action of miR-485-3p on CSE-induced 16HBECs. Moreover, miR-485-3p could abolish the functions of circ_0006872 knockdown on 16HBEC injury caused by CSE. CDKN1B belongs to the Kip/Cip family of CDK inhibitors, and suppresses the function of multiple cyclin-CDK complexes, thus showing anti-proliferative activity by impairing cell cycle progression [27]. In COPD, Yang et al. showed that CDKN1B was decreased in COPD patients, and could abate the action of miR-221-3p on the inhibition of CSE-evoked apoptotic and inflammatory damages in 16HBECs [28]. In our study, the increased expression of CDKN1B in smokers without or with COPD, and CSE-treated 16HBECs was observed, moreover, we proved that CDKN1B down-regulation could prevent CSE-induced16HBEC injury. In addition, miR-485-3p exerted its protective functions by targeting CDKN1B.

In all, this work demonstrated that circ_0006872 silencing could protect against CSE-induced inflammatory, apoptotic, and oxidative injury via miR-485-3p/CDKN1B axis, which may provide a novel insight into COPD prevention in subjects with smoking addiction.