1. Introduction
Chronic obstructive pulmonary disease (COPD) is a major global health issue and the third leading cause of death worldwide [
1]. The pathologic hallmarks of this disease include sustained chronic inflammation of the small airways leading to lung parenchyma tissue loss (emphysema) and limitation of airflow (shortness of breath) with increased mucus production and bronchiolar obstruction. Immune cells involved in airway inflammation in COPD include alveolar macrophages, neutrophils, T-lymphocytes of the TC1, TH1 and TH17 phenotypes and innate lymphoid cells; in some patients the TH2 and type 2 innate lymphoid cells may become predominant, associated with higher infiltration with eosinophils instead of neutrophils (reviewed in [
2]). Alveolar macrophages are the first line responders to airborne irritants and microbes through phagocytosis and coordinators of tissue repair through efferocytosis of apoptotic cells. Constituting 80-90% of the total immune cell population in the lung, these cells are truly ‘orchestrators’ of pro-inflammatory changes leading to COPD [
3]. In COPD and response to cigarette smoke, a primary cause of the disease, both phagocytosis and efferocytosis are inhibited in macrophages [
4,
5,
6]. This aberrancy can be associated with various abnormalities, e.g., in LC3-associated phagocytosis [
7], mitochondrial functions [
8], sphingolipid signalling [
9,
10] and zinc homeostasis [
11].
Accelerated cellular senescence is a characteristic feature of ageing-associated diseases including COPD, Alzheimer’s disease, arthritis and atherosclerosis. Senescent cells adopt pro-inflammatory phenotypes that maintain low-level inflammation, promoting gradual deterioration of organ structures and functions in a process that is described as “inflammageing”. Multiple markers utilized for assessment of cell senescence can be classified according to the targeted organelles and physiologic functions: lysosomal compartment (increased lysosomal mass and activity, accumulation of lipofuscin, SA-β-Gal), cell cycle arrest (p53), morphologic changes (lamin B1 loss and disrupted nuclear membrane), metabolic adaptations (mitochondrial dysfunctions, increase ROS, upregulated pro-survival pathways and chromatin reorganization [
12]. As immune cells play central role in inflammageing, the term “immunosenescence” was also applied [
13]. In normal ageing and ageing-associated diseases, cells in both the innate and the adaptive compartments of the immune system undergo senescence, and T-lymphocytes are known to be particularly susceptible to this process. Thus, an increase in senescence T-cells may contribute to mechanisms of rheumatic diseases [
14,
15], COPD [
16,
17], bronchiolitis obliterans [
18] and other chronic inflammatory diseases. Macrophages are the key cell type in inflammageing; their dysfunction in senescence contribute into failure of resolving micro-inflammation and consequently perpetuation of the vicious cycle of inflammation in ageing-associated diseases [
19,
20]. Although deficient phagocytosis/efferocytosis and pro-inflammatory changes of alveolar macrophages in COPD have been documented as discussed above, whether and how these cells adopt senescence phenotypes have been not formally addressed.
The inflammasome is hypothesized as a master regulator of low-grade inflammation in inflammageing [
21]. Inflammasomes are multiprotein complexes, platforms for cleavage (maturation) of IL-1β and other cytokines of the IL-1 family. They have been reported to be involved in mechanisms of chronic inflammatory diseases of the lung, in particular COPD and response to cigarette smoke [
22,
23,
24,
25]. Of many inflammasomes discovered, the NLRP3 inflammasome is the most studied for its response to a broad array of stimuli derived from both pathogens and the host cell, in particular from lysosomal dysfunctions. Its activation in COPD and in response to cigarette smoke, remains however an area of debate; current data both supporting and arguing for the NLRP3 inflammasome activation (reviewed in [
26]).
With cellular senescence therapy emerging as a novel avenue to COPD management, multiple cellular processes and organelles have been proposed as potential therapeutic targets, including mTOR/autophagy axis, SIRT1 and other sirtuins pathways, mitochondria and antioxidants [
27]. We have demonstrated that anti-inflammatory agents such as prednisolone in combination with theophylline, curcumin or resveratrol were able to inhibit pro-inflammatory cytokine production, at the same time restoring decreased SIRT1 expression and steroid sensitivity in CD28-null senescent T- and NKT-like cells from COPD patients [
17]. We have also demonstrated that non-antibiotic derivatives of azithromycin and erythromycin macrolides retained their anti-inflammatory effects on cigarette smoke extract (CSE)-stimulated macrophages [
28]. Alongside multiple inflammatory markers and markers of cell death induced by cigarette and/or CSE, we noted a significant increase of cleaved caspase-1 and cleaved IL-1β, together with IL-1β release [
7,
28], suggestive of an inflammasome activation. In this new study, we hypothesize that COPD and/or cigarette smoke-associated inflammation in alveolar macrophages is associated with both accelerated cellular senescence and activation of the NLRP3 inflammasome, and that anti-inflammatory macrolides can target both features. Multiple lines of data were corroborated to demonstrate an increase of the NLRP3 inflammasome pathway and cellular senescence in COPD/cigarette smoke-associated inflammation, and a short-term cell model of CSE-induced inflammasome activation and macrophage senescence was employed to test effects of anti-inflammatory macrolides.
4. Discussion and Conclusion
COPD is now believed as an ageing-associated disease, whereby the affected organ, in this case the lung, is ageing faster than the patient’s biological age. While most of studies in this area have been focusing on the epithelial compartment [
38,
39,
40,
41,
42,
43], senescence of immune cells is understudied, studies so far focusing on T-cells [
16,
17,
44,
45]. To our knowledge this study is the first to gather multiple evidence of accelerated cellular senescence in alveolar macrophages in COPD and in response to cigarette smoke. Lipofuscin, non-degradable products from oxidatively damaged proteins that accumulated in lysosomes, is a well-accepted marker of cellular ageing for various cell types [
12,
46]. Increased lipofuscin deposits in alveolar macrophages were indeed already reported in an early study on smoking patients diagnosed with sarcoidosis [
47]. Lamin B1 is a protein required for chromatin attachment to the nuclear envelope for normal genome function; its downregulation in ageing is documented, being therefore a negative marker for accelerated cellular senescence [
12,
48]. Downregulated lamin B1 has been reported in lung samples from COPD and CSE-stimulated human bronchial epithelial cells [
41]. The p53 protein, a transcription factor participating in DNA repair and maintaining genome integrity, is generally upregulated in response to cell stress and apoptosis and is another commonly used marker of senescence [
12,
49]. Elevated expression of p53 was reported in lung samples of patients having COPD/emphysema [
50,
51], as well as in CSE-stimulated in vitro cells e.g., fibroblasts [
52] or endothelial cells [
53]. Thus, changes of these markers in the current study are in concordant with previous data, and altogether they consolidate the notion of accelerated cellular senescence in alveolar macrophage macrophages in COPD and/or response to cigarette smoke exposure.
Roles of the tetraspanins CD9 and CD81 in cellular senescence present a controversial question in literature. Although some recent studies into vascular pathology suggest that upregulation of CD9 could be a marker of ageing [
54,
55], mouse models of CD9/CD81 double knockout were shown to develop a COPD-like syndrome and multiple organ ageing [
56,
57]. Tetraspanins have complex, multifaceted roles in cell biology. As a key organizer of plasma cell membrane, CD9 may deliver negative regulatory effects on COPD-related inflammation; mechanistically CD9 complexing with TLR4/CD14 has been implicated in downregulating the latter recruitment into the lipid raft domains to activate the pro-inflammatory NFkB signaling [
58]. Considering this previously available data [
56,
57,
58], the loss of plasma membrane localization of CD9/CD81 in alveolar macrophages of COPD patients and in CSE-stimulated macrophages ex vivo in this study suggest that their decreased surface expression could possibly be employed as a marker of cellular senescence, at least in the macrophage cell type. Further studies employing clinical cell/tissue samples as well as experimentally induced ageing are required before CD9/CD81 could be used as diagnostic markers.
Whether the NLRP3 inflammasome pathway is activated in COPD and/or response to cigarette smoke exposure remains a debatable issue (see review [
26]). While multiple evidence from human [22; 59] and animal studies [
59,
60,
61] lends support for a “Yes” answer, other studies present opposite results [
62,
63,
64,
65,
66], As a potent protective mechanism but potentially detrimental at excessive activation, the NLRP3 inflammasome pathway is tightly controlled by multiple regulatory pathways acting on post-translational modifications of proteins as well as transcription and translation levels [
67,
68,
69]. In this relation cigarette smoke could inhibit the inflammasome by upregulated catabolism of NLRP3 [
64]. Furthermore cigarette smoke-induced depletion of alveolar macrophages [
70] could also obscure detection of the inflammasome activation in this cell type. In this line, our previous data showed upregulated cell death evidenced by significant increase of cleaved caspase-3 and PARP in both in alveolar macrophages of cigarette smoke-exposed mice and in CSE-stimulated macrophage cell culture [
7]. Consequently, depending on particular clinical or experimental settings, as well as methodologic variations among studies in the field, markers of both upregulation and downregulation of the NLRP3 inflammasome pathway can be observed in COPD and/or response to cigarette smoke exposure. Thus, in our experiments, using the same antibody to IL-1β detected the induction effect of CSE on this parameter only in primary alveolar macrophages, but not THP-1-differentiated macrophages, even though cleavage of IL-1β was demonstrated in both cases by two alternative antibodies, in two different methods. A limitation of this study was that we could not ascertain whether the NLRP3 inflammasome pathway is upregulated in alveolar macrophages of COPD patients. An upregulated expression of the inflammasome-related genes could not also be demonstrated. Nevertheless, we present here multiple lines of evidence to support an activation of the alveolar macrophage NLRP3 inflammasome in response to cigarette smoke exposure, either in an in vivo model of chronic exposure to cigarette smoke, and in cell culture models of short-term treatment with CSE. Importantly, one of these short-term models was employed for further study of whether the cellular senescence is accelerated in parallel with the inflammasome activation.
The key result of this study was that both azithromycin and the two novel anti-inflammatory non-antibiotic macrolides could significantly reverse NLRP3 inflammasome activation and accelerated cellular senescence in CSE-exposed macrophages. A rationale for the use of anti-inflammatory agents to double target the inflammasome and accelerated cellular senescence is the implicated role of the NLRP3 inflammasome as a driver of low-grade inflammation that accelerates cellular senescence [
21,
71]. We hypothesized that anti-inflammatory macrolides such as azithromycin, at low dose, could be candidates in this direction. Indeed, efficacy of azithromycin in preventing acute exacerbations in COPD has already been demonstrated in a number of clinical trials e.g., [
72,
73,
74]. Mechanistically, azithromycin may intervene in the inflammasome pathway by induction of instability of mRNA for the NLRP3 synthesis [
75], or inhibition of the upstream STAT1 and NFkB signalling [
76]. As di-cationic molecules, macrolides such as azithromycin and erythromycin are highly accumulated in lysosomes where they may regulate the membrane stability of this organelle [
77], which in turn may regulate both the NLRP3 inflammasome activation and cell senescence. While data of this study supports that azithromycin could reverse the NLRP3 inflammasome activation and alleviate markers of accelerated cellular senescence in CSE-exposed macrophages, its clinical use in this regard is limited by a potential for the emergence of antibiotic resistant bacteria following its long-term use [
78]. This limitation has stimulated studies of non-antibiotic macrolides by many groups [
79,
80], including ours [
28]. In the present study we present further evidence for the efficacy of these non-antibiotic macrolides, alongside azithromycin, in reversal of both the NLRP3 inflammasome activation and signs of accelerated cellular senescence in CSE-stimulated macrophages. It should be noted that our study was limited to only a short-term in vitro CSE exposure; and whether this approach has positive effects on alveolar macrophages isolated from COPD patients or has long-term efficacy in an in vivo setting remains objectives for future investigations.
In conclusion, our findings support that 1) alveolar macrophages undergo both activation of the NLRP3 inflammasome and accelerated cellular senescence in COPD and/or response to cigarette smoke exposure, and 2) in short-term exposure of macrophages to CSE, application of azithromycin or non-antibiotic macrolides can alleviate both the inflammasome activation and accelerated cellular senescence.
Figure 1.
Cigarette smoke (CS) induced upregulated colocalized NLRP3 and cleaved IL-1β in alveolar macrophages in vivo and in vitro. (a): Representative confocal images of alveolar macrophages in a CS-exposed mouse, macrophages recognized by their large cytoplasm and localization in air space of alveoli, confirmed by F4/80 staining (green). (b): Representative confocal images of cleaved IL-1β (green) and NLRP3 (red) in lung tissue sections of CS-exposed (CS) and sham-exposed control (CTR) animals. Boxed areas in the left images are shown to the right at higher magnification and in monochromatic channels to reveal alveolar macrophages (arrowheads). Blue is DAPI, scale bars are in micrometres. (c, d): MQCM analysis of NLRP3 and cleaved IL-1β in mouse alveolar tissue. Each dot represents averaged MFI value measured from alveolar tissue captured in 5 optical fields of one mouse lung. **, p<0.01, n=6 animals per group. (e, f): Representative confocal images of BAL-derived alveolar macrophages, stimulated with cigarette smoke extract (CSE), vs. vehicle control (CTR). Immunofluorescence of IL-1β (e) and NLRP3 (f) is shown in red, cleaved IL-1β in green, yellow in (f) is merged colour of NLRP3 and cleaved IL-1β colocalization. Insets are boxed areas shown at higher magnification. Results of MQCM analysis of NLRP3, IL-1β and cleaved IL-1β are shown in (g-i); each dot represents average value measured from 5 optical fields of samples from one donor. *, p<0.05, n=6 donors.
Figure 1.
Cigarette smoke (CS) induced upregulated colocalized NLRP3 and cleaved IL-1β in alveolar macrophages in vivo and in vitro. (a): Representative confocal images of alveolar macrophages in a CS-exposed mouse, macrophages recognized by their large cytoplasm and localization in air space of alveoli, confirmed by F4/80 staining (green). (b): Representative confocal images of cleaved IL-1β (green) and NLRP3 (red) in lung tissue sections of CS-exposed (CS) and sham-exposed control (CTR) animals. Boxed areas in the left images are shown to the right at higher magnification and in monochromatic channels to reveal alveolar macrophages (arrowheads). Blue is DAPI, scale bars are in micrometres. (c, d): MQCM analysis of NLRP3 and cleaved IL-1β in mouse alveolar tissue. Each dot represents averaged MFI value measured from alveolar tissue captured in 5 optical fields of one mouse lung. **, p<0.01, n=6 animals per group. (e, f): Representative confocal images of BAL-derived alveolar macrophages, stimulated with cigarette smoke extract (CSE), vs. vehicle control (CTR). Immunofluorescence of IL-1β (e) and NLRP3 (f) is shown in red, cleaved IL-1β in green, yellow in (f) is merged colour of NLRP3 and cleaved IL-1β colocalization. Insets are boxed areas shown at higher magnification. Results of MQCM analysis of NLRP3, IL-1β and cleaved IL-1β are shown in (g-i); each dot represents average value measured from 5 optical fields of samples from one donor. *, p<0.05, n=6 donors.
Figure 2.
The NLRP3 inflammasome activation in CSE-stimulated THP-1 macrophages. (a): Representative confocal images of NLRP3 (red, AF594) and cleaved IL-1β (green, AF488, yellow indicating colocalization with NLRP3) in THP-1 macrophages, control (CTR) vs CSE-stimulated. Insets are magnification of boxed areas, shown to the right in monochromatic channels. (b): Co-staining with two different antibodies to IL-1β (aa117-269, red) and cleaved IL-1β (Ala117 neoepitope, green) revealed reduction of total IL-1β in cells having increased cleaved IL-1β. (c-e): Blocking of CSE-induced NLRP3 and cleaved IL-1β immunofluorescence in THP-1 macrophages with Zyvad (ZYV) or Glyburide (GLY). Representative confocal images in (c) depict cleaved NLRP3 (red) and cleaved IL-1b (green, yellow being merged colour of colocalization with NLRP3) in THP-1 macrophages treated with CSE, with or without presence of ZYV/GLY, vs. vehicle control (CTR). (d), Significant reversal of CSE-induced cleaved IL-1β by Zyvad or Glyburide shown by MQCM analysis; *, p<0.05; **, p<0.01; n=3 experiments.
Figure 2.
The NLRP3 inflammasome activation in CSE-stimulated THP-1 macrophages. (a): Representative confocal images of NLRP3 (red, AF594) and cleaved IL-1β (green, AF488, yellow indicating colocalization with NLRP3) in THP-1 macrophages, control (CTR) vs CSE-stimulated. Insets are magnification of boxed areas, shown to the right in monochromatic channels. (b): Co-staining with two different antibodies to IL-1β (aa117-269, red) and cleaved IL-1β (Ala117 neoepitope, green) revealed reduction of total IL-1β in cells having increased cleaved IL-1β. (c-e): Blocking of CSE-induced NLRP3 and cleaved IL-1β immunofluorescence in THP-1 macrophages with Zyvad (ZYV) or Glyburide (GLY). Representative confocal images in (c) depict cleaved NLRP3 (red) and cleaved IL-1b (green, yellow being merged colour of colocalization with NLRP3) in THP-1 macrophages treated with CSE, with or without presence of ZYV/GLY, vs. vehicle control (CTR). (d), Significant reversal of CSE-induced cleaved IL-1β by Zyvad or Glyburide shown by MQCM analysis; *, p<0.05; **, p<0.01; n=3 experiments.
Figure 3.
Markers of accelerated senescence of alveolar macrophages in human COPD and in cigarette smoke-exposed mice. (a): In paraffin lung sections alveolar macrophages (arrows) were densely stained with Sudan Black B for lipufuscin in COPD patients and cigarette smokers (SMK) but not non-smoker non-COPD controls (CTR). *, p<0.05; **, p<0.01. (b): Lipofuscin was densely detected in alveolar macrophages (arrows) of mice chronically exposed to cigarette smoke (CS), but not controls (CTR). **, p<0.01, n=6 per group. (c): Representative confocal images of lamin B1 (red) and p53 (white) in lungs of cigarette smoke-exposed (CS) and sham-exposed (CTR) mice; alveolar macrophages in boxed areas are shown at higher magnification and in monochromatic channels in the insets. (d): MQCM analysis of lamin B1 in nuclear envelope, **, p<0.01, n=6 per group. (e): Flow-cytometric analysis of surface CD81 and CD9 expression in BAL-derived alveolar macrophages of 22 healthy control donors (CTR) and 10 individuals having COPD, *, p<0.05.
Figure 3.
Markers of accelerated senescence of alveolar macrophages in human COPD and in cigarette smoke-exposed mice. (a): In paraffin lung sections alveolar macrophages (arrows) were densely stained with Sudan Black B for lipufuscin in COPD patients and cigarette smokers (SMK) but not non-smoker non-COPD controls (CTR). *, p<0.05; **, p<0.01. (b): Lipofuscin was densely detected in alveolar macrophages (arrows) of mice chronically exposed to cigarette smoke (CS), but not controls (CTR). **, p<0.01, n=6 per group. (c): Representative confocal images of lamin B1 (red) and p53 (white) in lungs of cigarette smoke-exposed (CS) and sham-exposed (CTR) mice; alveolar macrophages in boxed areas are shown at higher magnification and in monochromatic channels in the insets. (d): MQCM analysis of lamin B1 in nuclear envelope, **, p<0.01, n=6 per group. (e): Flow-cytometric analysis of surface CD81 and CD9 expression in BAL-derived alveolar macrophages of 22 healthy control donors (CTR) and 10 individuals having COPD, *, p<0.05.
Figure 4.
Human monocyte-derived macrophages (MDM) highly expressed cell surface CD9/81 (a), markers of cell senescence lamin B1 and p53 (b, d), and cleaved IL-1β (c). CD9/81 displayed strong immunolocalization near the cell surface (a, green), whereas lamin B1 near the nuclear envelope (d, red, magenta is colocalization with DAPI). Cigarette smoke extract-exposed MDM showed significant increase of p53 detected by Western blot analysis (b, *, p<0.05, n=6 repeats), decrease of nuclear envelope lamin B1 detected by MQCM (d, red), and increase of cleaved IL-1β detected by Western blot (c, **, p<0.01, n=6 repeats). In representative confocal images in (a) and (d), blue is DAPI, scale bars are in micrometers. NEG, negative staining control.
Figure 4.
Human monocyte-derived macrophages (MDM) highly expressed cell surface CD9/81 (a), markers of cell senescence lamin B1 and p53 (b, d), and cleaved IL-1β (c). CD9/81 displayed strong immunolocalization near the cell surface (a, green), whereas lamin B1 near the nuclear envelope (d, red, magenta is colocalization with DAPI). Cigarette smoke extract-exposed MDM showed significant increase of p53 detected by Western blot analysis (b, *, p<0.05, n=6 repeats), decrease of nuclear envelope lamin B1 detected by MQCM (d, red), and increase of cleaved IL-1β detected by Western blot (c, **, p<0.01, n=6 repeats). In representative confocal images in (a) and (d), blue is DAPI, scale bars are in micrometers. NEG, negative staining control.
Figure 5.
Cigarette smoke extract-induced upregulated NLRP3 and cleaved IL-1β and markers of acceleration cellular senescence in monocyte-derived macrophages were reversed by anti-inflammatory macrolides. (a): Representative confocal images of cleaved IL-1β (red), NLRP3 (white) and CD9 (green) in control macrophages (CTR), and macrophages exposed to cigarette smoke extract (CSE), with or without presence of azithromycin (AZ), GS-459755 (G4), or GS-560660 (G5). (b): Representative confocal images of lamin B1 (red) and CD81 (green) in control macrophages (CTR), and macrophages exposed to cigarette smoke extract (CSE), with or without presence of G4. In (a) and (b), the boxed areas are shown at higher magnification and in monochromatic channels in the insets. Blue is DAPI. Scale bars are in micrometers. (c): MQCM analysis of parameters measured in experiments shown in (a) and (b). *, p<0.05. n=4 experiments using samples obtained from different donors.
Figure 5.
Cigarette smoke extract-induced upregulated NLRP3 and cleaved IL-1β and markers of acceleration cellular senescence in monocyte-derived macrophages were reversed by anti-inflammatory macrolides. (a): Representative confocal images of cleaved IL-1β (red), NLRP3 (white) and CD9 (green) in control macrophages (CTR), and macrophages exposed to cigarette smoke extract (CSE), with or without presence of azithromycin (AZ), GS-459755 (G4), or GS-560660 (G5). (b): Representative confocal images of lamin B1 (red) and CD81 (green) in control macrophages (CTR), and macrophages exposed to cigarette smoke extract (CSE), with or without presence of G4. In (a) and (b), the boxed areas are shown at higher magnification and in monochromatic channels in the insets. Blue is DAPI. Scale bars are in micrometers. (c): MQCM analysis of parameters measured in experiments shown in (a) and (b). *, p<0.05. n=4 experiments using samples obtained from different donors.